{ "count" : 136440, "data" : [ { "id" : "69e1043b2beec4dd3def1e32", "title" : "Manager III, Business Intelligence, Routing and Planning", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, operations", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager III, Business Intelligence, Routing and Planning in Bengaluru, India, adjusted for seniority, company size, and logistics industry." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:40:56.209", "fingerprint" : "aef063cbe6e9e425b4824d54636035224105f99359ef8c4a4127d01f00125ad3", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10387036/apply", "externalId" : "219475b7-835b-4a3c-8501-eabff5afd298", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "SQL, R, Python, Weka, SAS, Matlab, Tableau, Quicksight", "professionalSkills" : [ "Business intelligence", "Analytics", "Data modeling", "ETL", "ELT", "Reporting", "Data visualization" ], "hardSkillsList" : [ "Statistical rigor", "Data analysis", "Business metrics", "Automated dashboards", "Analytic self-service" ], "softSkillsList" : [ "Leadership", "Analytical ingenuity" ], "hardSkills" : [ { "name" : "Statistical rigor", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business metrics", "level" : "intermediate" }, { "name" : "Automated dashboards", "level" : "intermediate" }, { "name" : "Analytic self-service", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Analytical ingenuity" } ], "majorSkills" : "Business Intelligence, Data Analytics, Team Management", "majorSkillsList" : [ "Business Intelligence", "Data Analytics", "Team Management" ], "coreResponsibilities" : "Create actionable business insights, Answer business questions, Drive business decisions, Develop recommendations to improve operations, Collaborate with Product Managers, software engineering, data science,, Design and develop analytic capabilities, Manage a team of Business Intelligence Engineers, Define and govern key business metrics, Build automated dashboards, Build analytic self-service capabilities, Engineer data-driven processes that drive business value, Develop analytic solutions, Shape work for junior team members, Present analyses, plans, and recommendations to senior leadership, Connect new ideas to drive change", "teamCollaboration" : "Cross-functional teams; Product Managers; Software engineering; Data science; Data engineering partners", "domainKnowledge" : "Last Mile delivery network; Last mile planning systems", "domainList" : [ "last-mile-delivery-network", "last-mile-planning-systems" ], "domainSpecificKnowledge" : [ "Last Mile delivery network", "Last mile planning systems" ], "toolProficiency" : [ "Tableau", "Quicksight", "SQL" ], "communicationSkills" : "Present analyses; Present plans; Present recommendations; Effective communication", "problemSolvingSkills" : "Analytical ingenuity; Navigate ambiguity", "outcomesObjectives" : "Accelerate scale of routes; Accelerate efficiency of routes; Accelerate quality of routes; Drive business value", "qualificationsBasic" : "7+ years business intelligence and analytics experience, 5+ years managing a business intelligence or analytics team, Experience working with business stakeholders, Experience in data warehouse technical architectures, Experience in data modeling, Experience in ETL/ ELT, Experience with reporting/analytic tools, Experience with data structures, Hands-on SQL coding, Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years quantitative and qualitative data science business intelligence with significant business impact experience, Experience leading and influencing the BI strategy of your team or organization", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Come help Amazon create data and science-driven technologies for delivering packages to the doorstep of our customers! The Last Mile Routing & Planning organization builds the software, algorithms and tools that make the “magic” of home delivery happen: our flow, sort, dispatch and routing intelligence systems are responsible for the billions of daily decisions needed to plan and execute safe, efficient and frustration-free routes for drivers around the world. Our team supports deliveries (and pickups!) for Amazon Logistics, Prime Now, Amazon Flex, Amazon Fresh, Lockers, and other new initiatives. As part of the Last Mile Science & Technology organization, you’ll partner closely with Product Managers, Data Scientists, and Software Engineers to drive improvements in Amazon's Last Mile delivery network. You will lead a team of Business Intelligence Engineers, own reporting, and leverage data and analytics to generate insights that accelerate the scale, efficiency, and quality of the routes we build for our drivers through our end-to-end last mile planning systems. You will present your analyses, plans, and recommendations to senior leadership and connect new ideas to drive change. Analytical ingenuity and leadership, business acumen, effective communication capabilities, and the ability to work effectively with cross-functional teams in a fast paced environment are critical skills for this role. Key job responsibilities Key job responsibilities: · Create actionable business insights through analytical and statistical rigor to answer business questions, drive business decisions, and develop recommendations to improve operations · Collaborate with Product Managers, software engineering, data science, and data engineering partners to design and develop analytic capabilities · Manage a team of Business Intelligence Engineers. Define and govern key business metrics, build automated dashboards and analytic self-service capabilities, and engineer data-driven processes that drive business value · Navigate ambiguity to develop analytic solutions and shape work for junior team members Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience working directly with business stakeholders to translate between data and business needs - Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of quantitative and qualitative data science/business intelligence with significant business impact experience - Experience leading and influencing the BI strategy of your team or organization Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager III, Business Intelligence, Routing and Planning at ADCI. Skills: Business Intelligence, Data Analytics, Team Management. Create actionable business insights. 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With the support of top-tier investors, Medely has quickly become a go-to platform for healthcare professionals to instantly access high-paying jobs with the freedom and flexibility to work when and where they want. As a fully remote team of sharp, collaborative, and entrepreneurial individuals, we are dedicated to redefining the way healthcare workers and facilities work together to provide for patients. We are looking for passionate and skilled professionals to join our team and help us take on tough challenges in this fast-expanding healthcare industry segment. Join us in our mission to transform the healthcare staffing industry and improve patient lives! The Opportunity Full-Time · Reports to VP, Financial Operations Medely is building the infrastructure layer for healthcare staffing - a marketplace that connects thousands of healthcare professionals with facilities that need them, in real time. It's a complex, data-rich business, and the decisions that determine how we grow, where we invest, and how we serve our customers are increasingly being driven by the quality of our analytics. That's where you come in. We're looking for a Manager of Business Intelligence who is equal parts analytical rigor and business instinct - someone who doesn't just build dashboards, but builds understanding. You'll lead a BI Analyst, own the execution of our BI roadmap, and work directly with the VP of Financial Operations and cross-functional leadership to turn data into decisions that move the business. If you're the kind of person who finds satisfaction in making a complex system legible - who gets energized by ambiguous problems, clean data models, and stakeholders who actually use what you build - this role was designed for you. What You'll Own - Be hands-on with the work. You won't just delegate. You'll write SQL, build dashboards, run analytical deep-dives, and produce models that generate real product and business insights. You're still a craftsperson. - Drive self-service analytics across the org. A big part of this role is making data accessible to people who aren't analysts. You'll train and enable business partners to navigate Delphina (our BI platform), set the governance standards that keep data trustworthy, and build the infrastructure so teams can answer their own questions -without creating chaos. - Translate complexity into clarity. You'll partner with operational and functional stakeholders to monitor business health, surface trends, and bring structure to ambiguous problems. The best outcome isn't a beautiful chart - it's a decision that wouldn't have been possible without you. - Build for scale, not just today. You'll contribute to a BI roadmap that balances short-term execution with long-term architecture - including alerting, anomaly detection, and applying AI/ML techniques to accelerate insight generation where it creates real leverage. - Work directly with leadership. Reporting into the VP of Financial Operations means high visibility and real exposure. Your work will directly inform how Medely's leadership team thinks about growth, operations, and strategy. Who You Are: - A minimum of 5 years in analytics, business intelligence, data science, or a related field - with at least one year managing a direct report. - Advanced SQL is non-negotiable. You write clean, optimized queries and you understand the systems underneath them. - Strong proficiency in a BI tool (Tableau, Power BI, or similar) and a real understanding of what makes a dashboard useful vs. just pretty. - Python or another scripting language for data manipulation and workflow automation. - Experience structuring ambiguous problems and communicating findings to both technical and non-technical audiences - Comfort with experimentation - designing tests, reading results, and explaining what they mean. - Familiarity with AI/ML concepts and an appetite to apply them to real analytics problems. - A bias toward ownership. You don't wait to be told what matters - you figure it out and move. What Will Set You Apart - Startup or marketplace experience. - Hands-on experience applying LLM-based or ML solutions to analytics workflows. - Interest in healthcare technology and the infrastructure that makes it work. Why This Role, Why Now Medely is at a stage where the analytical infrastructure we build in the next 12-18 months will shape how we scale for years. This role has real scope - a platform to own, a leadership team that wants to be data-informed, and a business complex enough to keep you intellectually engaged for a long time. You'll have ownership. You'll have visibility. And you'll do work that actually matters. Why Medely: Benefits & Perks - Competitive Compensation: Based on experience and performance - Long-term Incentives: 401k - Healthcare Benefits: Full suite of benefits including medical, dental, and vision insurance - Flexibility: We believe that work/life balance is important, so we offer flexible and unlimited PTO - Paid parental leave - Purpose: Join a growing mission-oriented startup that is modernizing the healthcare industry nationally! - Ownership: Drive meaningful business impact on a team you’ll help build and define! - Remote: Work in a digital environment with all the tools to achieve your work as though you were in the office! We're an equal opportunity employer to all. We interview and hire applicants of all backgrounds, orientations, expressions, and identities. Work location is flexible if approved by Medely. Medely does not accept unsolicited resumes from agencies. We consider any resume (CV) or biography received from an agency or outside recruiter without prior approval from a member of the Medely Human Resources or Recruiting team to be unsolicited and gratuitous, and such submissions will not be recognized by Medely for purposes of “ownership” of the candidate. We are an E-Verify company.", "summaryDescription" : "Manager, Business Intelligence at Medely. Skills: Data analytics, Business intelligence, SQL, BI tools. Develop and maintain BI dashboards and reports. Analyze data to identify trends and insights", "createdAt" : "2026-06-16T01:59:52.495", "lastUpdated" : "2026-06-16T11:46:24.542", "ingestTimestamp" : "2026-06-16T01:59:52.495", "mongoId" : "6a3085c4f292fd229c07b704", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 136000, "salaryAnnualMax" : 152000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "Data visualization", "SQL", "Python", "R", "ETL", "Data modeling", "Statistical analysis", "Machine learning", "Data analytics", "BI tools", "Problem solving" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 784.83356, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a2c7c9174d8ee00a094dbeb", "title" : "Manager, Financial Planning & Analysis & Business Intelligence", "company" : "Silicon Ranch Corporation", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Financial Planning & Analysis & Business Intelligence in Nashville, TN, adjusted for the renewable energy industry and company size." }, "location" : "Nashville, Tennessee, United States", "locations" : [ "Nashville", "Tennessee", "United States" ], "timestamp" : "2026-06-16T00:28:00.645", "fingerprint" : "49ef9738271143c1df305b0636803403b7e79fcda75a6686b91ce27df4b874f5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/siliconranch/jobs/5251287008", "externalId" : "5251287008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Nashville", "state" : "Tennessee", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "36.1622767,-86.7742984" } ], "locationText" : "Nashville, Tennessee, United States", "experienceLevel" : "Manager", "rawDescription" : "Silicon Ranch is a fully integrated provider of customized renewable energy, carbon, and battery storage solutions for a diverse set of partners across North America. We are known for putting community partnerships first, and are the only renewable energy company in the U. S. that owns and operates all of its solar ranches and has a 100% track record for successful delivery. We have the largest utility scale agrivoltaics portfolio in the country under Regenerative Energy®, our nationally recognized holistic approach to project design, construction, and land management. Our model incorporates regenerative ranching and other regenerative land management practices to restore livelihoods and soil health, biodiversity, and water quality. Through our subsidiary, Clearloop, we are able to help businesses of all sizes reclaim their carbon footprint with a direct investment in building new solar projects while also helping bring renewable energy and economic development to distressed communities. By joining Silicon Ranch, you will be joining a team of experienced and dedicated individuals who have proven time and again that it is indeed possible to not only “make solar do more”, but to make the promise of carbon-free, renewable energy that benefits people right where it comes from a tangible, measurable, and replicable reality. Silicon Ranch is committed to creating a diverse and inclusive workplace that is reflective of the communities in which we work and serve. We are an equal opportunity employer and will consider all qualified applicants without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status, and other legally protected characteristics. Job Description Position: Manager, Financial Planning basic SQL and data transformation skills preferred. Our interview process: A typical interview process at Silicon Ranch might include the below stages. Please note that we may make changes to these steps as needed, and details will be provided to you early on in the process. Introductory Interview with our recruiter Hiring Manager Interview to dive into technical skills and behavioral questions Panel Interview to assess cross-functional skills and dive deeper into technical skills Executive Interview to answer high-level questions about SRC and the team", "summaryDescription" : "Manager, Financial Planning & Analysis & Business Intelligence at Silicon Ranch Corporation", "postedDate" : "2026-06-14T20:09:43.791", "createdAt" : "2026-06-14T20:09:43.791", "lastUpdated" : "2026-06-16T00:28:00.645", "ingestTimestamp" : "2026-06-14T20:09:43.791", "mongoId" : "6a2c7c9174d8ee00a094dbeb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "_score" : 680.0361, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Renewable Energy", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056b6f292fd229cf2d686", "title" : "Business Intelligence Architect", "company" : "Verifone", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Business Intelligence Architect in Bengaluru, India, adjusted for the FinTech industry and a large company size." }, "location" : "Bengaluru, Karnataka, India", "locations" : [ "Bengaluru", "Karnataka", "India" ], "timestamp" : "2026-06-16T08:21:07.828", "fingerprint" : "33300a21105b7f0cf63460fde97e20c75af6ee03f27e70852175a1d3edb0d52d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://ats.comparably.com/api/v2/verifone/post/7770512003?gh_jid=7770512003", "externalId" : "7770512003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with scikit-learn, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with Hugging Face, Experience with MLflow", "remoteFriendly" : false, "rawDescription" : "Why Verifone For more than 30 years Verifone has established a remarkable record of leadership in the electronic payment technology industry. Verifone has one of the leading electronic payment solutions brands and is one of the largest providers of electronic payment systems worldwide. Verifone has a diverse, dynamic and fast paced work environment in which employees are focused on results and have opportunities to excel. We take pride in the fact that we work with leading retailers, merchants, banks, and third-party partners to invent and deliver innovative payments solution around the world. We strive for excellence in our products and services and are obsessed with customer happiness. Across the globe, Verifone employees are leading the payments industry through experience, innovation, and an ambitious spirit. Whether it’s developing the next platform of secure payment systems or searching for new ways to bring electronic payments to new markets, the team at Verifone is dedicated to the success of our customers, partners and investors. It is this passion for innovation that drives each one of our employees for personal and professional success. About the role We are seeking a seasoned BI Architect to design, build, and lead enterprise-grade business intelligence solutions. This role requires deep technical expertise, hands-on development capabilities, and a strong understanding of Oracle EBS ecosystems. The BI Architect will play a critical role in enabling data-driven decision-making, working closely with business stakeholders while leading the architecture and delivery of scalable BI platforms. What you'll do: Lead end-to-end BI solution delivery, including requirements gathering, analysis, design, development, testing, and production support Architect and implement data pipelines, semantic layers, and enterprise reporting frameworks Translate business requirements into actionable insights, KPIs, and performance dashboards Collaborate with business stakeholders to enable effective, data-driven decision-making Design and deliver dashboards and reports using: Oracle Analytics Server (OAS) Tableau Microsoft Power BI SAP BusinessObjects Build and optimize ETL/ELT pipelines using Informatica and Python Apply AI-assisted (vibe coding) techniques to enhance pipeline development and automation Define and enforce BI standards, best practices, and governance frameworks Manage multiple projects simultaneously with strong attention to detail and timelines Ensure data accuracy, scalability, and performance optimization across BI systems Provide mentorship and technical guidance to junior BI developers Continuously identify opportunities for process improvements, automation, and innovation What qualifications will you need to be successful? 8–10 years of hands-on BI/DW experience Strong ETL design expertise — Informatica and Python (pandas, PySpark, etc.) Advanced PL/SQL — stored procedures, performance tuning, complex transformations Proficiency across OAS, Tableau, Power BI, and SAP BusinessObjects Hands-on experience with vibe coding for pipeline development and automation Functional knowledge of Oracle EBS modules (GL, AP, AR, OM, INV, or similar) Strong communication — ability to bridge business and technical teams Self-starter with ability to work independently in ambiguous environments Mentorship mindset for junior BI developers Our commitment Verifone is committed to creating a diverse environment and is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability, age, or veteran status. Verifone is also committed to compliance with all fair employment practices regarding citizenship and immigration status.", "summaryDescription" : "Business Intelligence Architect at Verifone. 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Charlotte, North Carolina, United States; United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Metabase, Superset, Qlik, MicroStrategy, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data modeling", "Business acumen", "Stakeholder prioritization", "Team capacity management" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Business Intelligence, Data analysis, Data modeling, Team leadership", "majorSkillsList" : [ "Business Intelligence", "Data analysis", "Data modeling", "Team leadership" ], "coreResponsibilities" : "Lead and develop BI analysts, Own delivery of dashboards, Own delivery of data models, Own ad hoc analysis, Serve as BI point of contact, Translate business questions, Translate data questions, Partner with data engineering, Support Head of BI", "teamCollaboration" : "Cross-functional teams; Business stakeholders; Data engineering teams", "projectManagementSkills" : [ "Roadmap planning", "Stakeholder prioritization" ], "domainKnowledge" : "Digital media; Financial services; Performance marketing", "domainList" : [ "digital-media", "financial-services", "performance-marketing" ], "domainSpecificKnowledge" : [ "Digital media", "Financial services", "Performance marketing" ], "toolProficiency" : [ "Looker", "Databricks" ], "communicationSkills" : "Written communication; Verbal communication; Data communication", "documentationSkills" : "Documentation", "problemSolvingSkills" : "Analytical problems", "specialRequirements" : "Eastern Standard Time hours", "qualificationsBasic" : "5+ years in analytics or BI, 1-2 years leading analysts, Databricks or similar cloud data platforms, Looker experience, Data modeling experience, SQL proficiency, Digital media experience, Financial services experience, Performance marketing experience", "qualificationsPreferred" : "Experience supporting paid media, Experience supporting earned media", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "*This role is open to remote or hybrid candidates (East Coast preference), with hybrid being central to our New York, NY or Charlotte area offices. Must be able to work Eastern Standard Time hours. Bankrate's BI team is the connective tissue between raw data and the decisions that drive the business. As Manager of Business Intelligence, you'll lead a team of analysts, own a portfolio of high-visibility reporting and analytics initiatives, and serve as the bridge between stakeholders and the data foundation we're building. This is a player-coach role; you'll be doing real analytical work alongside your team, not just managing it. What You’ll Do: Lead and develop a team of 2-4 BI analysts across assigned verticals Own end-to-end delivery of dashboards, data models, and ad hoc analysis - primarily in Looker and Databricks and other proprietary systems. Serve as the primary BI point of contact for several business categories Translate ambiguous business and data questions into structured analytical problems and ship answers fast Partner with data engineering on pipeline work, schema changes, and data quality issues Spot gaps in coverage, documentation, and process - and fix them proactively Support the Head of BI in roadmap planning, stakeholder prioritization, and team capacity management Stay in the work - this role requires hands-on contribution, not just oversigh What We’re Looking For: 5+ years in analytics or BI, with at least 1-2 years leading or mentoring other analysts Strong SQL; comfort in Databricks or similar cloud data platforms Looker and data modeling experience strongly preferred Experience supporting paid and earned media is a plus - we touch every area of the business and need someone who can flex across verticals Proven ability to manage competing stakeholder priorities Enough business acumen to know what questions matter before someone asks them Clear communicator - written, verbal, and in the data itself Experience in digital media, financial services, or performance marketing is a plus Compensation: This range reflects total cash compensation, which may include base salary only or base salary plus target bonus, depending on the role. Where eligible, equity may also be offered separately and not included below. Actual compensation varies based on location, experience, and qualifications. Total Cash Compensation Range: $130,000 – $185,000 per year Additionally, the following benefits are provided by Red Ventures, subject to eligibility requirements. Health Insurance Coverage (medical, dental, and vision) Life Insurance Short and Long-Term Disability Insurance Flexible Spending Accounts Holiday Pay 401(k) with match Employee Assistance Program Paid Parental Bonding Benefit Program Flexible Paid Time Off (PTO): We believe time to rest and recharge is essential. That’s why we offer a generous and flexible PTO policy. Full-time employees accrue 20 days of PTO for a full calendar year annually, with an increase to 25 days after five years of service. Who We Are: Bankrate is redefining the future of financial decision-making. For nearly five decades, we’ve empowered tens of millions of consumers to make smarter financial choices and helped hundreds of leading financial institutions grow. Today, we’re evolving from a marketplace into a next-generation technology platform—underpinned by proprietary data, AI-driven innovation, and deep enterprise integrations. With our track record of delivering consumers quantifiably better offers—for example, on home loans where we lead the market—Bankrate stands at the center of the $60B U. S. financial services acquisition opportunity. As we expand through omnichannel marketing and strategic partnerships, and launch unique consumer product applications, we’re building a more efficient, personalized, and connected financial ecosystem—one grounded in trust. Join us as we transform five decades of credibility into the next era of financial technology. Red Ventures is an equal opportunity employer that does not discriminate against any employee or applicant because of race, creed, color, religion, gender, sexual orientation, gender identity/expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or any other basis protected by law. Employment at Red Ventures is based solely on a person's merit and qualifications. We are committed to providing equal employment opportunities to qualified individuals with disabilities. This includes providing reasonable accommodation where appropriate. Should you require a reasonable accommodation to apply or participate in the job application or interview process, please contact accommodation@redventures.com. If you are based in California, we encourage you to read this important information for California residents linked here. At Red Ventures, we believe in real human connection. That’s why we do not hire someone through text, social media, or email only. As part of the hiring process, you should expect live conversations with RV teammates before any offer is made. Also, keep an eye on the sender: we only use official @redventures.com email addresses at the portfolio level or business specific email addresses (e.g., @thepointsguy.com), not ones like “redventurescareer.com.” We will never ask candidates to send money, buy equipment, or share financial account info during your journey with us. You can always find our open roles on redventures.com— if you receive a message that seems suspicious, please use redventures.com to verify the opportunity. For more, the U. S. Federal Trade Commission has published helpful articles to help individuals learn more about protecting themselves from recruiter scams. If you think you’ve been targeted, feel free to report it to your local authorities. Stay safe out there!", "summaryDescription" : "Business Intelligence Manager at Bankrate. Skills: Business Intelligence, Data analysis, Data modeling, Team leadership. Lead and develop BI analysts. Own delivery of dashboards", "postedDate" : "2026-06-14T08:55:06.715", "createdAt" : "2026-06-14T08:55:06.715", "lastUpdated" : "2026-06-15T11:23:03.267", "ingestTimestamp" : "2026-06-14T08:55:06.715", "mongoId" : "6a2c6a6c74d8ee00a090bc98", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 130000, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Leadership", "Mentoring", "Business Intelligence", "Data analysis", "Data modeling", "Team leadership", "Business acumen", "Stakeholder prioritization", "Team capacity management", "Roadmap planning", "Digital media", "Financial services", "Performance marketing", "Looker", "Databricks" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 632.111, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.97 }, { "id" : "6a307b01f292fd229c042b31", "title" : "Business Analyst III", "company" : "itD Tech", "salary" : { "min" : 30.0, "max" : 32.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T12:35:29.167", "fingerprint" : "9fd5307f4ac8cd35519b8f8fea55b7cad25f0bd2923c082a5800ddd8632f2c49", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itd/jobs/4286552009", "externalId" : "4286552009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Burlingame", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5780965,-122.3473099" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Burlingame, California, United States; United States", "employmentType" : "CONTRACT", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Business Analyst III itD is seeking a Business Analyst III to drive demand forecasting and business planning for Reality Labs' VR headset and wearables portfolio. The ideal candidate will bring deep experience in demand forecasting, business analytics, and sales planning, with a proven track record of delivering accurate forecasts and actionable business insights that influence production, launch, and go-to-market decisions. Location: Remote (U.S.) – PST preferred, with strong preference for candidates able to work 3 days onsite in Burlingame, CA Duration: 12 months Pay Rate: $30 - $32 per hour, depending on experience. We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Build and maintain bottom-up sell-through and sell-in demand forecasts for VR headsets and wearable hardware products using quantitative and qualitative data. Partner with sales account managers, category managers, marketing teams, channel operations, and data analysts to improve forecast accuracy and identify business growth opportunities. Analyze weekly, monthly, quarterly, and annual sales performance, identifying trends, risks, and opportunities across hardware and accessory product lines. Own actual-versus-forecast performance analysis by identifying root causes, recommending corrective actions, and monitoring forecast effectiveness. Present forecast assumptions, business insights, and performance updates to Reality Labs leadership and cross-functional stakeholders. Develop forecasting models by analyzing large datasets, identifying trends, dependencies, and correlations to improve planning accuracy. Support production planning and product launch decisions through close collaboration with channel operations and business teams. Create high-quality reports, dashboards, and executive presentations while managing ad hoc forecasting requests and business analyses. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Skills 4+ years of experience in hardware product demand forecasting, planning, or forecasting analytics. 6+ years of experience in business strategy, business analytics, finance, sales planning, or related analytical roles. Experience building demand forecasting models for consumer hardware products. Advanced proficiency with Microsoft Excel, Google Sheets, Google Workspace, and PowerPoint. Experience performing quantitative analysis and translating data into business recommendations. Strong cross-functional collaboration and stakeholder presentation skills. Ability to independently execute day-to-day forecasting, reporting, and business analysis activities. Preferred Qualifications and Skills Experience forecasting physical consumer goods or consumer electronics. Experience using enterprise forecasting platforms such as O9 or similar planning systems. Experience supporting AR/VR, consumer technology, or hardware product organizations. Bachelor's degree in Business, Finance, Analytics, Supply Chain, Economics, or a related field. Education Bachelor's degree in a relevant field preferred; equivalent professional experience will also be considered. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability or protected veteran status, or any other legally protected basis, in accordance with applicable law. itD is committed to working with and providing reasonable accommodation to individuals with disabilities. If, because of a medical condition or disability, you need a reasonable accommodation for any part of the application process, or to perform the essential functions of a position, please contact us at recruiting@itdtech.com and let us know the nature of your request and your contact information. Additional Info Dynamic environment in a culture of respect, empowerment and recognition for a job well done, apply today!", "summaryDescription" : "Business Analyst III at itD Tech", "postedDate" : "2026-06-16T01:18:39.491", "createdAt" : "2026-06-16T01:18:39.491", "lastUpdated" : "2026-06-16T12:35:29.167", "ingestTimestamp" : "2026-06-16T01:18:39.491", "mongoId" : "6a307b01f292fd229c042b31", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 62400, "salaryAnnualMax" : 66560, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 618.0057, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.92 }, { "id" : "6a307f39f292fd229c0565f5", "title" : "Business Intelligence Manager, Cloud Finance", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager, Business Intelligence Manager, Cloud Finance in Kirkland, United States, adjusted for the technology industry and manager seniority." }, "location" : "[Kirkland, WA, USA, [Kirkland, WA, USA], Kirkland, null, WA, US]", "locations" : [ "[Kirkland, WA, USA, [Kirkland, WA, USA], Kirkland, null, WA, US]", "[Chicago, IL, USA, [Chicago, IL, USA], Chicago, null, IL, US]" ], "timestamp" : "2026-06-16T10:45:31.194", "fingerprint" : "eed9f8ccd188898eb4a613c3a75f255eac720776b95b9691b1c5d4b244cbb84b", "source" : "google", "language" : "en", "externalId" : "137294479416533702", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Kirkland", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6765382,-122.2070775" } ], "locationText" : "Kirkland, Washington, United States", "experienceLevel" : "Manager", "summaryDescription" : "Business Intelligence Manager, Cloud Finance", "postedDate" : "2026-06-16T01:49:23.840", "createdAt" : "2026-06-16T01:49:23.840", "lastUpdated" : "2026-06-16T10:45:31.194", "ingestTimestamp" : "2026-06-16T01:49:23.840", "mongoId" : "6a307f39f292fd229c0565f5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.5555556, "_score" : 615.6384, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "68b706987fc9a711f0f6fe37", "title" : "Business Intelligence Engineer III, CMT", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, seller services", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Business Intelligence Engineer III in India, adjusted for seniority, the e-commerce industry, and the Bengaluru city tier." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T00:56:52.751", "fingerprint" : "50a06d63425ea270901b345826f523f4d61828173b5e68e46f11857c4b072651", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3052005/apply", "externalId" : "a9789d71-5919-44cd-8024-3d216961ae12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, AWS", "professionalSkills" : [ "Pricing analytics", "Data gathering", "Data manipulation", "Data synthesis", "Data modeling", "Problem solving", "Business drivers", "Product challenges", "Product metrics", "Performance indicators", "Data analysis", "Data architecture" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data mining" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data engineering, Analytics", "majorSkillsList" : [ "Business intelligence", "Data engineering", "Analytics" ], "coreResponsibilities" : "Understand business drivers, Understand data availability, Understand product challenges, Assist in development of key product metrics, Assist in development of performance indicators, Build self-service reporting platforms, Establish automated processes for large scale data analysis, Write high quality queries to retrieve and analyze, Manage data infra-structure, Leverage data sources, Influence teams to assure data is consistent and, Own end-to-end data architecture for new product launches", "teamCollaboration" : "CMT business teams; Product teams; Program teams; Retail teams", "domainKnowledge" : "Pricing programs; Market positioning", "domainList" : [ "pricing-programs", "market-positioning" ], "domainSpecificKnowledge" : [ "Pricing programs", "Market positioning" ], "problemSolvingSkills" : "Problem solving", "qualificationsBasic" : "8+ years of professional experience, 5+ years of SQL experience, Experience programming to extract, transform and clean large data sets, Experience with theory and practice of design of experiments, Experience with theory and practice of statistical analysis of results, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills", "qualificationsPreferred" : "Experience working directly with business stakeholders, Experience managing, analyzing and communicating results to senior leadership, Bachelors Degree or Equivalent", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The CMT Data Platform and Analytics Team leads pricing analytics to optimize Amazon products' price perception and competitiveness. We seek a Senior Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes. This position combines strategic planning with direct implementation. The role requires demonstrated analytical capabilities, proven experience with business intelligence solutions, and the ability to collaborate across CMT product teams. The BI Engineer will own complex reporting systems, develop automated solutions, and deliver actionable insights to drive business decisions. We seek candidates who can navigate complex pricing programs independently, design and implement scalable BI solutions, partner with CMT and Retail teams to optimize reporting systems, and transform data into clear, actionable recommendations. As part of Amazon's commitment to maintaining customer trust, this role directly impacts our pricing strategy and market positioning. The ideal candidate should be able to work independently, quickly absorb the nuances of Amazon's varied pricing programs, and contribute effectively to our fast-paced environment. Key job responsibilities 1. Working closely with the multiple CMT business, product/program teams to understand the business drivers, data availability and product challenges. This will require data gathering and manipulation, synthesis and modeling and problem solving. 2. Assist in the development of key product metrics and performance indicators to measure overall performance of the business as well as product contributions to the business. 3. Build self-service reporting platforms, establishing automated processes for large scale data analysis. 4. Understand and write high quality queries to retrieve and analyze data (ongoing reporting and adhoc requests). 5. Manage the data infra-structure for the CMT central analytics team, deciding which data sources to leverage in the process, including influencing teams to assure data is consistent and accurate. 6. Own end-to-end data architecture for new product launches. Basic Qualifications: - 8+ years of professional or military experience - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications: - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership - Bachelors Degree or Equivalent Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer III, CMT at ADCI. Skills: Business intelligence, Data engineering, Analytics. Understand business drivers. Understand data availability", "postedDate" : "2026-06-13T11:47:46.003", "createdAt" : "2026-06-13T11:47:46.003", "lastUpdated" : "2026-06-15T00:56:52.751", "ingestTimestamp" : "2026-06-13T11:47:46.003", "mongoId" : "68b706987fc9a711f0f6fe37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3052005/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data mining", "Business intelligence", "Data engineering", "Analytics", "Pricing analytics", "Data gathering", "Data manipulation", "Data synthesis", "Data modeling", "Problem solving", "Business drivers", "Product challenges", "Product metrics", "Performance indicators", "Data analysis", "Data architecture", "Pricing programs", "Market positioning" ], "skillCount" : 20, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 597.6662, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a30503df292fd229ceeddb9", "title" : "Senior Business Intelligence Developer", "company" : "Ibotta", "industry" : "Shared Services Job Group", "salary" : { "min" : 110000.0, "max" : 126000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Hybrid - Denver", "locations" : [ "Hybrid - Denver" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:23:41.278", "fingerprint" : "af8aaa8f5040a5d15fe805b3dffab9e60a4f31e1744f791823c3f046ad2ad234", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/ibotta/28354c7c-7cb6-421f-810d-0cd620c2092f/application", "externalId" : "28354c7c-7cb6-421f-810d-0cd620c2092f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Denver", "state" : "Colorado", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "39.7392364,-104.9848620" } ], "locationText" : "Denver, Colorado, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 7, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and optimize data models, Design and implement BI solutions, Perform complex data analysis, Develop and deploy machine learning models, Collaborate with stakeholders, Ensure data quality and integrity, Stay current with industry trends", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years Python, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Ibotta is looking for a Senior Business Intelligence Developer to join our innovative team and contribute to our mission to Make Every Purchase Rewarding. As a Senior BI Developer on the Client Analytics team, you will help empower our company to make data-driven decisions by providing the right data at the right time to teams across Ibotta. You will become a “go to” expert on all things data, working with key stakeholders to drive business understanding and measurement through the production and interpretation of key reporting. This position is located in Denver, Colorado as a hybrid position requiring 3 days in office (Tuesday, Wednesday, and Thursday). Candidates must live in the United States. Not based in Denver? We will offer a relocation bonus to help make your move to the Mile High City a smooth one. What you will be doing: - Provide support across the company through reporting, monitoring, tracking, and analyzing business performance and results - Craft the best data stories possible and visualize them effectively for teams across Ibotta - Analyze requirements and architect appropriate solutions, with detailed design documents - Leverage reporting best practices to automate reports and find creative solutions to maximize reporting output - Develop a logical, structured approach to conduct ad-hoc analyses and work backwards from hypotheses - Sample projects: - Extract, wrangle, and automate large data transfers (on the order of trillions of rows) to democratize data and empower data-driven decision making across the company - Manage, monitor, and provide recommendations on the quality of various data streams - Design and create aggregate and summary tables for reporting efficiency purposes - Analyze and deliver data to provide actionable insights about the effectiveness of the business above and beyond standard analysis - Embrace and uphold Ibotta’s Core Values: Integrity, Boldness, Ownership, Teamwork, Transparency & A good idea can come from anywhere What we are looking for: - 5-7+ years of experience in Analytics within an agile organization (or equivalent academic work) as well as familiarity with data warehousing and business intelligence platforms - Skilled experience in SQL - Bachelor’s degree in Computer Science, Engineering, Analytics or a related field required - Proven ability to develop, maintain, automate, visualize, and communicate reporting for management and internal clients - Consistent ability to work collaboratively throughout the organization to drive towards common goals - Ability to clearly and professionally communicate data, processes, and results to senior leadership - Excellent oral and written communication skills - Detailed-Oriented team player with an ownership mindset Preferred Qualifications: - Previous experience working in CPG organizations - Experience with Looker Business Intelligence platform - Experience using Snowflake Data Warehouse - Knowledge of Airflow, Qubole, Git, Python - Experience with event-driven architecture About Ibotta (\"I bought a...\") Ibotta (NYSE: IBTA) is a leading performance marketing platform allowing brands to deliver digital promotions to over 200 million consumers through a network of publishers called the Ibotta Performance Network (IPN). The IPN allows marketers to influence what people buy, and where and how often they shop – all while paying only when their campaigns directly result in a sale. American shoppers have earned over $2.6 billion through the IPN since 2012. The largest tech IPO in history to come out of Colorado, Ibotta is headquartered in Denver, and is continually listed as a top place to work by The Denver Post and Inc. Magazine. To learn more about what our Tech teams are doing day to day, visit Building Ibotta on https://medium.com/building-ibottaMedium.com http://Medium.com. Additional Details: - This position is located in Denver, CO and includes competitive pay, flexible time off, benefits package (including medical, dental, vision), Employee Stock Purchase Program, and 401k match. Denver office perks include paid parking, snacks, and occasional meals. - Base compensation range: $110,000 - $126,000. Equity is included in overall compensation package. This compensation range is specific to the United States labor market and may be adjusted based on actual experience. - Ibotta is an Equal Opportunity Employer. Ibotta’s employment decisions are made without regard of race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected status. - Applicants must be currently authorized to work in the United States on a full-time basis. - Applicants are accepted until the position is filled. - For the security of our employees and the business, all employees are responsible for the secure handling of data in accordance with our security policies, identifying and reporting phishing attempts, as well as reporting security incidents to the proper channels. Recruiting Agency Notice Ibotta does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to any Ibotta employees. #LI-Hybrid #BI-Hybrid", "summaryDescription" : "Senior Business Intelligence Developer at Ibotta. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and optimize data models", "createdAt" : "2026-06-16T00:28:07.559", "lastUpdated" : "2026-06-16T11:23:41.278", "ingestTimestamp" : "2026-06-16T00:28:07.559", "mongoId" : "6a30503df292fd229ceeddb9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 126000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 38, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 590.1866, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "69f4e0ba4c40e2acd1d89d32", "title" : "Business Intelligence Engineer III, LMAQ", "company" : "Amazon", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 3500000.0, "max" : 5500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Business Intelligence Engineer III in Hyderabad, India, adjusted for Amazon's company size, e-commerce industry, and senior experience level." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T03:03:19.404", "fingerprint" : "bce8dca6692a8a08ab3a463661ca357428cacb670c8146442789823dfc0bdf81", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408923/apply", "externalId" : "e41c1c24-0e27-42d3-9a6d-4943803fce6b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, SQL, AWS, Tableau, Quicksight", "professionalSkills" : [ "Data visualization", "Data manipulation", "Statistical analysis" ], "hardSkillsList" : [ "Regression", "T-test", "Chi-square" ], "softSkillsList" : [ "Leadership", "Analytical abilities", "Judgment" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "T-test", "level" : "intermediate" }, { "name" : "Chi-square", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Analytical abilities" }, { "name" : "Judgment" } ], "majorSkills" : "Business intelligence, Analytics engineering, Data quality", "majorSkillsList" : [ "Business intelligence", "Analytics engineering", "Data quality" ], "coreResponsibilities" : "Own vision for quality improvement, Shape strategy and direction, Build innovative experiences, Break complex problems down, Drive product development, Set tempo for defect reduction, Drive accountability across business units, Deliver high impact projects, Manage customer expectations, Resolve conflicts, Develop process for information dissemination, Make team successful, Prioritize and influence, Show creativity, Show experimentation, Show innovation, Drive projects with urgency, Develop vision and strategy, Influence product roadmaps, Support scalable growth, Enable success of leadership team, Implement best practices, Distribute best practices", "teamCollaboration" : "Matrix organization; Partner with product teams; Partner with technology teams; Partner with key stakeholders", "domainKnowledge" : "Global address management", "domainList" : [ "global-address-management" ], "domainSpecificKnowledge" : [ "Global address management" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "communicationSkills" : "Executive presence; Communicate results", "innovationCreativity" : "Innovation; Creativity; Experimentation", "problemSolvingSkills" : "Problem solving; Analytical abilities; Judgment", "outcomesObjectives" : "Defect reduction; Operational performance; Predictability", "qualificationsBasic" : "6+ years of business intelligence and analytics experience, Experience in scripting for automation, Advanced SQL skills, Experience with AWS technologies, Experience with data visualization, Experience manipulating large data sets, Summarizing data into metrics, Conducting statistical tests", "qualificationsPreferred" : "Experience managing results, Experience analyzing results, Experience communicating results to senior leadership, Experience building machine learning models, Developing algorithms for business application", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: - Effectively manage customer expectations and resolve conflicts that balance client and company needs. - Develop process to effectively maintain and disseminate project information to stakeholders. - Be successful in a delivery focused environment and determining the right processes to make the team successful. - This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. - Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. - Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. - Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. - Serve as a role model for Amazon Leadership Principles inside and outside the organization - Actively seek to implement and distribute best practices across the operation Basic Qualifications: - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with AWS technologies - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience manipulating large sets of data, summarizing into metrics, and conducting appropriate statistical tests (e.g., regression, t-test, chi-square) - 6+ years of business intelligence and analytics experience Preferred Qualifications: - Experience managing, analyzing and communicating results to senior leadership - Experience building machine learning models or developing algorithms for business application Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer III, LMAQ at Amazon. Skills: Business intelligence, Analytics engineering, Data quality. Own vision for quality improvement. 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In order to achieve this mission, we are on a multi-year journey to re-imagine Prime program and build a program to meets needs of large diverse customer base in India. Our team is responsible for all aspects of the prime program including customer lifecycle management, plan constructs, trial strategies, pricing, program branding, Prime benefits, member spends and Prime PnL. To this end, we are a multidisciplinary team including product managements, marketing, business development, engineering and analytics. We are a team of builders who love to work backwards from customer, build empathy for their needs and invent products and services that will enrich their lives. Prime team is looking for a Manager, Business Intelligence and Analytics group to lead a team of Business Intelligence Engineers responsible for building analytics solutions and generate Prime related insights for India and other emerging marketplaces. The ideal candidate will be skilled at building scalable self service analytics infrastructure, has experience building teams and growing individuals and is curious and seeks out data to understand the business use cases and impact on Prime. This candidate will be part of core Prime leadership team reporting to Prime leader for India and will be responsible for co-creating Prime strategy for IN and corresponding investments in analytics infrastructure to support this growth. Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager, Business Intelligence at ADCI. Skills: Business Intelligence, Analytics, Team Leadership. Lead a team of Business Intelligence Engineers. Build analytics solutions", "postedDate" : "2026-06-13T18:12:34.567", "createdAt" : "2026-06-13T18:12:34.567", "lastUpdated" : "2026-06-15T07:39:04.471", "ingestTimestamp" : "2026-06-13T18:12:34.567", "mongoId" : "6a2176c874d8ee00a0c1ae20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438880/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data visualization", "Statistical software", "Machine learning software", "Leadership", "Business Intelligence", "Analytics", "Team Leadership", "Business intelligence", "Team management", "Employee development", "Performance management", "Prime program", "Customer lifecycle management", "Trial strategies", "Pricing", "Program branding", "Prime benefits", "Member spends", "Prime PnL", "Tableau", "Quicksight" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 579.0343, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305f95f292fd229cf7e54d", "title" : "Business Intelligence Intern", "company" : "Emma – The Sleep Company", "industry" : "India Ecommerce", "salary" : { "min" : 120000.0, "max" : 240000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on market data for Business Intelligence Interns in New Delhi, India, considering entry-level seniority and the e-commerce industry." }, "location" : "New Delhi", "locations" : [ "New Delhi" ], "timestamp" : "2026-06-16T11:47:21.946", "fingerprint" : "49494f73adaa98078b32a0e3b87bdfe3f12eb52140aee38ed98fee3c6eb6221f", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/emma-sleep/818ca4b7-179c-4830-a37e-ce6e5720ab02/apply", "externalId" : "818ca4b7-179c-4830-a37e-ce6e5720ab02", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New Delhi", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.6138954,77.2090057" } ], "locationText" : "New Delhi, India", "employmentType" : "INTERNSHIP", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Description Ready to lead, disrupt and reinvent the sleep industry? We are Emma – The Sleep Company. Founded in 2015, we’ve become the world’s largest D2C sleep brand, available in over 35 countries with more than 25 stores across Europe. Recommended by leading consumer associations in EMEA, APAC, and the Americas, we develop the best sleep comfort products that empower our customers to awaken their best every day. At Emma, we are a community of smart, driven people, united by a strong culture of collaboration, teamwork, and knowledge sharing. We think big, take ownership, and are empowered to drive meaningful impact. Through hands-on experience, mentorship, and continuous learning, we drive our own growth and learning. With Emmies from over 60 nationalities and offices across multiple regions, our diverse perspectives enrich our workplace culture. Ready to shape the future of sleep with us? Let’s make it happen! ## What You'll Do Design and develop multi-functional dashboards across Sales, Retail Stores, Marketplaces (Amazon, Flipkart), Customer Service, Logistics & Delivery, Finance, and Marketing using Looker Studio and Power BI to provide real-time visibility into company-wide performance. Transform raw, complex datasets into actionable business insights by identifying trends, anomalies, and emerging opportunities that directly inform strategic and operational decision-making across departments. Build and maintain automated reporting pipelines using Google Sheets, SQL, Python, and BI tools to significantly reduce manual reporting efforts and improve data delivery speed and accuracy. Integrate and consolidate data from multiple business platforms — including Shopify, Amazon, Flipkart, EasyEcom, ClickPost, customer service platforms, and finance systems — into unified, reliable data flows. Conduct structured business analytics to answer critical performance questions such as drivers of sales growth or decline, identification of underperforming stores, high-return-rate products, root causes of customer complaints, and profitability of marketing channels. Establish and maintain a Single Source of Truth (SSOT) by defining and standardizing key KPIs across functions, ensuring leadership and stakeholders have consistent, accurate, and accessible views of business performance. Collaborate cross-functionally with stakeholders across Sales, Marketing, Finance, Operations, and Customer Service teams to gather reporting requirements, align on metrics, and communicate data findings in a clear and concise manner. Apply structured thinking to prioritize analytical tasks and projects based on business impact — connecting disparate data points, organizing large volumes of complex data, and translating findings into coherent narratives for both technical and non-technical audiences. Continuously monitor and improve data infrastructure and reporting systems by identifying gaps in existing pipelines, proposing enhancements to data collection and visualization processes, and ensuring scalability as business data volume grows. ## Who We Are Looking For Currently pursuing or recently completed a degree in Business Analytics, Data Science, Statistics, Computer Science, Information Systems, or a related quantitative field. Must be able to commit to a minimum internship duration of 6 months. Proficiency in Advanced Excel including pivot tables, complex formulas, data modeling, and dashboard creation for reporting and analysis purposes. Hands-on experience or strong working knowledge of SQL for querying, joining, and manipulating large datasets across relational databases. Familiarity with BI and visualization tools such as Power BI, Tableau, or Looker Studio to design and publish interactive, insight-driven dashboards and reports. Working knowledge of Google Analytics to interpret web and marketing performance data, traffic trends, and customer behavior metrics. Exposure to Python (preferred) for data wrangling, automation, and building scalable reporting pipelines using libraries such as Pandas, NumPy, or similar. Experience working with or understanding of e-commerce and business platforms such as Shopify, Amazon Seller Central, Flipkart, EasyEcom, or ClickPost is a strong advantage. Strong analytical and structured thinking skills with the ability to break down complex, large-scale datasets into clear, prioritized, and business-relevant insights. Excellent communication and stakeholder management skills with the ability to present data findings in a concise, visual, and non-technical manner to cross-functional teams and leadership. High attention to detail and a proactive, self-driven work ethic with the ability to manage multiple tasks, meet deadlines, and adapt to a fast-paced, data-intensive environment. ## Additional Information Become an Emmie Emma is transforming the world of sleep - and we want the highest-performing people to help us pull it off. We want you. But only if you're willing to go all in. Only if you're willing to question, disrupt, innovate, and create from the ground up. We proudly celebrate diversity. We are an equal-opportunity employer committed to promoting inclusion in our workplace. We consider all qualified applicants for employment without regard to race, ethnic origin, religion or belief, gender, gender identity or expression, sexual orientation, national origin, disability, or age. Our aim is to get back to you in a couple of days, however, we are currently receiving a large number of applications and this might lead to a delay in the process. We will get back to you as soon as possible!", "summaryDescription" : "Business Intelligence Intern at Emma – The Sleep Company", "postedDate" : "2026-06-15T08:37:28.725", "createdAt" : "2026-06-15T08:37:28.725", "lastUpdated" : "2026-06-16T11:47:21.946", "ingestTimestamp" : "2026-06-16T03:21:54.597", "mongoId" : "6a305f95f292fd229cf7e54d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "_score" : 574.7546, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f08f292fd229c05496d", "title" : "Technical Program Manager III, AI/ML Intelligence, Search", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Technical Program Manager III in New York, adjusted for seniority, industry, and company size." }, "location" : "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "locations" : [ "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]", "[Mountain View, CA, USA, [Mountain View, CA, USA], Mountain View, null, CA, US]" ], "timestamp" : "2026-06-16T10:49:00.011", "fingerprint" : "5707528dee56ba51ce15032e88f212a12ad6bf13824b39d43bf3d78a578e82c1", "source" : "google", "language" : "en", "externalId" : "137895925161829062", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Technical Program Manager III, AI/ML Intelligence, Search", "postedDate" : "2026-06-16T01:49:22.851", "createdAt" : "2026-06-16T01:49:22.851", "lastUpdated" : "2026-06-16T10:49:00.011", "ingestTimestamp" : "2026-06-16T01:49:22.851", "mongoId" : "6a307f08f292fd229c05496d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 175000, "salaryAnnualMax" : 250000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "_score" : 571.0913, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a660774d8ee00a062b95f", "title" : "Manager III, OTR Planning, AMZL OTR Planning", "company" : "Amazon.com Services LLC", "industry" : "Supply Chain/Transportation Management, Planning/Development, transportation and logistics", "salary" : { "min" : 142800.0, "max" : 193200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-16T03:13:18.890", "fingerprint" : "806efe47d4f17e36b024335175737e1acbff69fd8d9b160a178c1763d602edfb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10443517/apply", "externalId" : "8c69cac4-328a-4297-acfd-298e24ca8a2d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL, Data analysis", "professionalSkills" : [ "Process improvement", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Resource planning" ], "hardSkillsList" : [ "Operational metrics", "Forecasting", "Planning" ], "hardSkills" : [ { "name" : "Operational metrics", "level" : "intermediate" }, { "name" : "Forecasting", "level" : "intermediate" }, { "name" : "Planning", "level" : "intermediate" } ], "majorSkills" : "Operational planning, Process management, Cross-functional coordination", "majorSkillsList" : [ "Operational planning", "Process management", "Cross-functional coordination" ], "coreResponsibilities" : "Develop and implement operational plans, Manage cross-functional projects, Coordinate with internal and external stakeholders, Track and report on key operational metrics, Identify and implement process improvements, Optimize resource allocation, Manage vendor relationships, Support strategic initiatives", "teamCollaboration" : "Cross-functional teams; Internal stakeholders; External vendors", "projectManagementSkills" : [ "Project planning", "Project execution", "Process improvement" ], "domainKnowledge" : "Operational planning; Supply chain logistics", "domainList" : [ "operational-planning", "supply-chain-logistics" ], "domainSpecificKnowledge" : [ "Operational planning", "Supply chain logistics" ], "toolProficiency" : [ "Microsoft Excel", "SQL databases" ], "communicationSkills" : "Reporting; Presentations", "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Root cause analysis; Process optimization", "outcomesObjectives" : "Improve operational efficiency; Ensure timely project completion; Meet key performance indicators", "qualificationsBasic" : "5+ years experience in planning, forecasting, or operations, Bachelor's degree or equivalent experience, Experience with data analysis and reporting", "qualificationsPreferred" : "Master's degree in a relevant field, Experience with supply chain management software, Experience in a fast-paced, high-growth environment", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon Logistics (AMZL) is seeking an experienced candidate to identify, create, develop and integrate innovative solutions and programs that lead to improvements in our last mile delivery network. This position will lead the development and execution of new worldwide transportation initiatives designed to improve overall efficiency and meet the ever-growing demand for last mile capacity. The successful candidate will have strong data mining and modeling skills and is comfortable facilitating ideas and working from concept through to execution. Key job responsibilities • Own the development and maintenance of new and existing solution artifacts which are focused on driving efficiency within the business via analysis, metrics and reporting dashboards • Partner with operations/business teams to consult, develop and implement KPI's, automated reporting/process solutions, and process improvements to meet business needs. • Enable effective decision making by retrieving and aggregating data from multiple sources and compiling it into a digestible and actionable format. • Prepare and deliver business requirements reviews to the senior management team regarding progress and roadblocks. • Participate in strategic and tactical planning discussions. • Design, develop and maintain scaled, automated, user-friendly systems, reports, dashboards, etc. that will support our business needs. • Manage performance of the team of planners Basic Qualifications: - 5+ years of business analyst, data analyst or an equivalent role experience - 3+ years of direct management experience - Bachelor's degree in Finance, Accounting, Business, Engineering, or a related field - Experience in management directly - Experience in a business analyst, data analyst or equivalent role - Experience creating, iterating, and improving end-to-end global supply chains - Experience delivering forecasting, budgeting, variance analysis, and data interpretation of results Preferred Qualifications: - Master's degree in Business, Economics, Statistics, Engineering, or a related field - Knowledge of Six Sigma tools and Lean techniques - Experience working with large-scale data mining and reporting tools (i.e. SQL, MS Power Query, Python) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, TN, Nashville - 128,600.00 - 173,900.00 USD annually USA, TX, Austin - 142,800.00 - 193,200.00 USD annually USA, WA, Bellevue - 142,800.00 - 193,200.00 USD annually", "summaryDescription" : "Manager III, OTR Planning, AMZL OTR Planning at Amazon.com Services LLC. Skills: Operational planning, Process management, Cross-functional coordination. Develop and implement operational plans. Manage cross-functional projects", "postedDate" : "2026-06-14T20:21:34.795", "createdAt" : "2026-06-14T20:21:34.795", "lastUpdated" : "2026-06-16T03:13:18.890", "ingestTimestamp" : "2026-06-14T20:21:34.795", "mongoId" : "6a2a660774d8ee00a062b95f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10443517/apply", "salaryAnnualMin" : 142800, "salaryAnnualMax" : 193200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Operational metrics", "Forecasting", "Planning", "Operational planning", "Process management", "Cross-functional coordination", "Process improvement", "Vendor management", "Stakeholder management", "Resource planning", "Project planning", "Project execution", "Supply chain logistics", "Microsoft Excel", "SQL databases" ], "skillCount" : 15, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 563.09564, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69f4e0ba4c40e2acd1d89d33", "title" : "Manager III Business Intel", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, operations", "salary" : { "min" : 2200000.0, "max" : 3500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager III Business Intel in Hyderabad, India, adjusted for the e-commerce industry and manager seniority." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:36:11.281", "fingerprint" : "3a18aa06a5bf84edfb06014e7159713ead283ecfe375bfc8f74e8706ec190e6e", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10408922/apply", "externalId" : "a77050c0-aa0a-4551-87a0-e84fe6d509c7", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "SQL, R, Python, Weka, SAS, Matlab, Tableau, Quicksight", "professionalSkills" : [ "Business intelligence", "Analytics", "Data modeling", "ETL", "ELT", "Reporting", "Data visualization", "Statistical analysis", "Machine learning" ], "hardSkillsList" : [ "Data warehousing", "Data structures", "SQL coding", "Data visualization" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data structures", "level" : "intermediate" }, { "name" : "SQL coding", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Analytics, Data management, Data visualization", "majorSkillsList" : [ "Business intelligence", "Analytics", "Data management", "Data visualization" ], "coreResponsibilities" : "Own vision for quality improvement, Shape strategy and direction, Raise bar on quality and performance, Bring innovation and strategic perspective, Prioritize and execute priorities, Partner with product and technology teams, Define and build experiences, Break complex problems down, Drive product development, Set tempo for defect reduction, Drive accountability across business units, Deliver high impact projects, Lead by example, Manage customer expectations, Resolve conflicts, Develop process for information dissemination, Maintain project information, Make team successful, Determine right processes, Prioritize using data, Influence product roadmaps, Develop vision and strategy, Enable success of leadership team, Implement and distribute best practices", "teamCollaboration" : "Global stakeholders; Technology teams; Operations teams; Finance teams; Product teams; Key stakeholders; Operations leadership team", "domainKnowledge" : "Global address management; Last mile quality; Customer experience; Operational performance; Predictability", "domainList" : [ "global-address-management", "last-mile-quality", "customer-experience", "operational-performance", "predictability" ], "domainSpecificKnowledge" : [ "Global address management", "Last mile quality", "Customer experience", "Operational performance", "Predictability" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "communicationSkills" : "Executive presence; Global stakeholder communication", "innovationCreativity" : "Innovation; Creativity; Experimentation", "problemSolvingSkills" : "Problem solving; Analytical abilities; Quantitative data analysis; Qualitative data analysis", "outcomesObjectives" : "Deliver large scale projects; Drive defect reduction; Improve quality", "qualificationsBasic" : "7+ years business intelligence experience, 5+ years managing analytics team, Data warehouse technical architectures, Data modeling, ETL/ELT, Reporting/analytic tools, Data structures, Hands-on SQL coding, Data visualization using Tableau, Experience with R, Experience with Python, Experience with Weka, Experience with SAS, Experience with Matlab", "qualificationsPreferred" : "4+ years large data warehousing, Leading BI strategy, Leveraging AI technologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: - Effectively manage customer expectations and resolve conflicts that balance client and company needs. - Develop process to effectively maintain and disseminate project information to stakeholders. - Be successful in a delivery focused environment and determining the right processes to make the team successful. - This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. - Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. - Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. - Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. - Serve as a role model for Amazon Leadership Principles inside and outside the organization - Actively seek to implement and distribute best practices across the operation Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience in data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - Experience leading and influencing the BI strategy of your team or organization - Experience in leveraging AI technologies for process automation and business problem solving Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager III Business Intel at ADCI. Skills: Business intelligence, Analytics, Data management, Data visualization. Own vision for quality improvement. Shape strategy and direction", "postedDate" : "2026-06-13T17:55:31.208", "createdAt" : "2026-06-13T17:55:31.208", "lastUpdated" : "2026-06-15T07:36:11.281", "ingestTimestamp" : "2026-06-13T17:55:31.208", "mongoId" : "69f4e0ba4c40e2acd1d89d33", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10408922/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data warehousing", "Data structures", "SQL coding", "Data visualization", "Business intelligence", "Analytics", "Data management", "Data modeling", "ETL", "ELT", "Reporting", "Statistical analysis", "Machine learning", "Global address management", "Last mile quality", "Customer experience", "Operational performance", "Predictability", "Tableau", "Quicksight" ], "skillCount" : 20, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "_score" : 562.75574, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30564bf292fd229cf26f97", "title" : "Business Intelligence Engineer", "company" : "ADCI HYD 13 SEZ - H84", "industry" : "Business Intelligence, Business Intel Engineer, operations", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence Engineer in Hyderabad, India, adjusted for the E-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T09:21:41.696", "fingerprint" : "d0f3b16819a2d22db86cddd7ec143e2417d8ac649006e53c0e8183f9f8dbebc4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10448607/apply", "externalId" : "951decd4-8b69-44e8-8d35-2a1b75807105", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "technicalSkills" : "Redshift, Oracle, NoSQL, Tableau, Quicksight, Python, Java, R", "professionalSkills" : [ "Business intelligence", "Data analysis", "Reporting systems", "Data modeling", "Data pipeline design" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "ETL", "Data models", "Queries", "Statistical methods", "Business requirements", "Metrics", "Reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Queries", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Business requirements", "level" : "intermediate" }, { "name" : "Metrics", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Analysis, Data Visualization", "majorSkillsList" : [ "Business Intelligence", "Data Analysis", "Data Visualization" ], "coreResponsibilities" : "Own vision for quality improvement, Shape strategy for customer-facing products, Raise bar on quality, Raise bar on performance, Partner with product teams, Partner with technology teams, Define customer experiences, Build customer experiences, Break complex problems down, Drive product development, Set tempo for defect reduction, Drive accountability across business units, Deliver high impact projects, Lead by example, Manage customer expectations, Resolve conflicts, Develop process for information dissemination, Make team successful, Drive projects with urgency, Develop vision for customer experience, Develop strategy for customer experience, Influence product roadmaps, Support scalable growth, Develop Operations leadership team, Enable Operations leadership team, Implement best practices, Distribute best practices", "teamCollaboration" : "Matrix organization; Global stakeholders; Technology teams; Operations teams; Finance teams; Product teams", "domainKnowledge" : "Address management; Customer experience; Last mile delivery", "domainList" : [ "address-management", "customer-experience", "last-mile-delivery" ], "domainSpecificKnowledge" : [ "Address management", "Customer experience", "Last mile delivery" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "communicationSkills" : "Executive presence; Stakeholder communication", "innovationCreativity" : "Innovation; Experimentation; Creativity", "problemSolvingSkills" : "Problem solving; Analytical abilities; Quantitative data; Qualitative data", "outcomesObjectives" : "Defect reduction; Deliver large scale projects", "qualificationsBasic" : "2+ years analyzing data, Experience with data visualization, Experience with scripting language, Experience building data artifacts, Experience applying statistical methods, Experience gathering business requirements, Experience using BI tools, Track record of business insights", "qualificationsPreferred" : "Knowledge of code quality improvement, Knowledge of BI process optimization, Knowledge of data modeling, Knowledge of data pipeline design, Experience designing custom reporting systems", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "When you attract people who have the DNA of pioneers and the DNA of explorers, you build a company of like-minded people who want to invent. And that’s what they think about when they get up in the morning: how are we going to work backwards from customers and build a great service or a great product” – Jeff Bezos Amazon.com’s success is built on a foundation of customer obsession. Have you ever thought about what it takes to successfully deliver millions of packages to Amazon customers seamlessly every day like a clock work? In order to make that happen, behind those millions of packages, billions of decision gets made by machines and humans. What is the accuracy of customer provided address? Do we know exact location of the address on Map? Is there a safe place? Can we make unattended delivery? Would signature be required? If the address is commercial property? Do we know open business hours of the address? What if customer is not home? Is there an alternate delivery address? Does customer have any special preference? What are other addresses that also have packages to be delivered on the same day? Are we optimizing delivery associate’s route? Does delivery associate know locality well enough? Is there an access code to get inside building? And the list simply goes on. At the core of all of it lies quality of underlying data that can help make those decisions in time. The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs. As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience. As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance. You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives. You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers. You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed. You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects. You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience. The successful candidate will be able to: - Effectively manage customer expectations and resolve conflicts that balance client and company needs. - Develop process to effectively maintain and disseminate project information to stakeholders. - Be successful in a delivery focused environment and determining the right processes to make the team successful. - This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. - Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. - Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. - Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. - Serve as a role model for Amazon Leadership Principles inside and outside the organization - Actively seek to implement and distribute best practices across the operation Basic Qualifications: - 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with scripting language (e.g., Python, Java, or R) - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience applying basic statistical methods (e.g. regression) to difficult business problems - Experience gathering business requirements, using industry standard business intelligence tool(s) to extract data, formulate metrics and build reports - Track record of generating key business insights and collaborating with stakeholders Preferred Qualifications: - Knowledge of how to improve code quality and optimizes BI processes (e.g. speed, cost, reliability) - Knowledge of data modeling and data pipeline design - Experience in designing and implementing custom reporting systems using automation tools Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer at ADCI HYD 13 SEZ - H84. Skills: Business Intelligence, Data Analysis, Data Visualization. Own vision for quality improvement. Shape strategy for customer-facing products", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:13.051", "lastUpdated" : "2026-06-16T09:21:41.696", "ingestTimestamp" : "2026-06-15T22:01:13.051", "mongoId" : "6a30564bf292fd229cf26f97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10448607/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "ETL", "Data models", "Queries", "Statistical methods", "Business requirements", "Metrics", "Reporting", "Business Intelligence", "Data Analysis", "Data Visualization", "Business intelligence", "Reporting systems", "Data modeling", "Data pipeline design", "Address management", "Customer experience", "Last mile delivery", "Tableau", "Quicksight" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 557.86743, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2176d374d8ee00a0c1afd5", "title" : "Manager III, Business Intelligence, GFS (Global Finance Solutions)", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, finance", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Manager III, Business Intelligence, GFS in Bengaluru, India, adjusted for the technology industry and manager seniority." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T05:57:25.572", "fingerprint" : "f4e665cd5f44ec0ac84273dba9c0d6ce3a6520661dfcdf61719840cea35833c6", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438434/apply", "externalId" : "8978656c-f7a5-45eb-a3de-6ba1a6a3b66b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "Redshift, ETL, Excel, QuickSight, Python, Java, R", "professionalSkills" : [ "Business analysis", "Data strategy", "System design", "Data modeling" ], "hardSkillsList" : [ "Business intelligence", "Analytics", "Data visualization", "Machine learning software", "Statistical software" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Machine learning software", "level" : "intermediate" }, { "name" : "Statistical software", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Business Intelligence, Data Engineering, Team Management", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Team Management" ], "coreResponsibilities" : "Lead design, implementation, and delivery of BI solutions, Take ownership of BI infrastructure, Provide system-wide design guidance, Drive BI engineering best practices, Set standards for operational excellence, Perform complex business analysis, Provide strategic recommendations to senior leadership, Design and implement technical solutions, Lead large projects, Divide work effectively, Mentor and develop other BIEs, Provide technical assessments for promotions, Build consensus, Resolve contentious technical issues, Influence organizational BI architecture, Influence cross-team data strategies, Communicate findings to management, Communicate strategic insights to management", "teamCollaboration" : "Partner with manager; Partner with stakeholders; Partner with customers; Work across teams", "projectManagementSkills" : [ "Project prioritization" ], "domainKnowledge" : "Global Finance Solutions; AWS Finance", "domainList" : [ "global-finance-solutions", "aws-finance" ], "domainSpecificKnowledge" : [ "Global Finance Solutions", "AWS Finance" ], "toolProficiency" : [ "Redshift", "ETL tools", "Excel", "QuickSight", "Report scheduling tools" ], "communicationSkills" : "Communicate findings; Communicate insights", "problemSolvingSkills" : "Complex problem solving", "qualificationsBasic" : "7+ years business intelligence and analytics experience, 5+ years managing a business intelligence or analytics team, Experience with SQL, Experience with ETL, Experience with data visualization, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years working with very large data warehousing environment, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years infrastructure components, 10+ years ETL/ ELT, 10+ years reporting/analytic tools and environments, 10+ years data structures, Hands-on SQL coding experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About the Organization: Amazon is a US-based multinational electronic commerce company headquartered in Seattle, Washington. Amazon.com started as an online bookstore, but soon diversified into many other categories, with a vision to be earth's most customer-centric company & to build a place where people can come to find and discover anything they might want to buy online. About the role: Amazon's Global Finance Solutions (GFS) team is a fast-paced, team-focused, dynamic environment and delivering great experiences for our customers is top priority. GFS is seeking a Business Intelligence Engineer to support AWS Finance Team. As a BI Manager You directly manage a BI team with existing systems (e.g., Redshift database, Data Mart) and defined strategy and deliver BI solutions for difficult problems efforts, and decisions. As the manager, you are accountable for the customer experience, project prioritization, data/solution quality, and system maintenance. You are also accountable for the experience of the employees that report to you. You set the example for our Leadership Principles. You take the time to understand the larger picture (i.e., customer needs, business opportunities, and problems to be solved) and share that knowledge. You partner with your manager, stakeholders, and customers (e.g., analysts, scientists, TPMs, etc.) to clarify your team’s mission, vision, and priorities. You help your team see how their work aligns with the organizational goals. You seek long-term, strategic guidance from your manager. Key job responsibilities • Lead the design, implementation, and delivery of BI solutions for complex and ambiguous problems • Take ownership of BI infrastructure and provide system-wide design guidance • Drive BI engineering best practices and set standards for operational excellence • Perform complex business analysis and provide strategic recommendations to senior leadership • Design and implement technical solutions with appropriate analytics strategy and data set design • Lead large projects that require work of multiple team members, dividing work effectively • Mentor and develop other BIEs, providing technical assessments for BIE II and BIE III promotions • Build consensus and resolve contentious technical issues across teams • Influence organizational BI architecture and cross-team data strategies • Communicate findings and strategic insights to management audiences A day in the life A day in the life of a BIE Manager at GFS involves leading complex, large-scale initiatives and providing technical leadership to the team. The day typically starts with strategic planning and architecture discussions, followed by hands-on work on the most critical solutions. You'll spend time mentoring junior team members, conducting design reviews, and collaborating with multiple stakeholders across the organization to ensure BI solutions align with business strategy. The day includes making key technical trade-offs, managing the team and driving best practices that impact the entire organization, all while maintaining Amazon's high standards of operational excellence. Tools used include: 1. SQL (Primarily Redshift) 2. ETL tools (internal) 3. Excel 4. Data visualization tools (QuickSight) 5. Report scheduling tools (internal) 6. Scripting language (e.g., Python, Java, or R) Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Manager III, Business Intelligence, GFS (Global Finance Solutions) at ADCI. Skills: Business Intelligence, Data Engineering, Team Management. Lead design, implementation, and delivery of BI solutions. Take ownership of BI infrastructure", "postedDate" : "2026-06-13T16:37:52.160", "createdAt" : "2026-06-13T16:37:52.160", "lastUpdated" : "2026-06-15T05:57:25.572", "ingestTimestamp" : "2026-06-13T16:37:52.160", "mongoId" : "6a2176d374d8ee00a0c1afd5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438434/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Business intelligence", "Analytics", "Data visualization", "Machine learning software", "Statistical software", "Leadership", "Mentoring", "Business Intelligence", "Data Engineering", "Team Management", "Business analysis", "Data strategy", "System design", "Data modeling", "Project prioritization", "Global Finance Solutions", "AWS Finance", "Redshift", "ETL tools", "Excel", "QuickSight", "Report scheduling tools" ], "skillCount" : 22, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 557.7251, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance" }, { "id" : "6a304f3ff292fd229cee64e8", "title" : "Data Analyst - Business Intelligence", "company" : "Scalian", "industry" : "Information Services", "salary" : { "max" : 50000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : false }, "location" : "Madrid, Spain", "locations" : [ "Madrid", "Spain" ], "timestamp" : "2026-06-16T06:09:46.434", "fingerprint" : "1927f1696d5a71bbcc9d9891ed2ba82c421ee112714372ed16213408bdd13464", "source" : "smartrecruiters", "language" : "es", "applyUrl" : "https://jobs.smartrecruiters.com/Scalian/744000132183819-data-analyst-business-intelligence", "externalId" : "744000132183819", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "remote", "geo" : "40.4167820,-3.7035070" } ], "locationText" : "Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "mid", "technicalSkills" : "Power BI, Tableau, QlikView, Qlik Sense, MicroStrategy", "hardSkillsList" : [ "Data analysis", "Reporting" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Reporting", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data visualization", "majorSkillsList" : [ "Business Intelligence", "Data visualization" ], "coreResponsibilities" : "Work on analytics and data visualization projects", "domainKnowledge" : "Banking sector", "domainList" : [ "banking-sector" ], "domainSpecificKnowledge" : [ "Banking sector" ], "toolProficiency" : [ "Power BI", "Tableau", "QlikView", "Qlik Sense", "MicroStrategy" ], "continuousLearning" : "Certifications; Personalized development plans", "qualificationsBasic" : "3 to 6 years in Business Intelligence, Proficiency in Power BI, Tableau or similar, Experience in data analysis and reporting environments", "qualificationsPreferred" : "Knowledge in QlikView / Qlik Sense, Experience with MicroStrategy, Previous experience in banking sector", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83D\uDD0E ¡Ampliamos nuestro equipo! ¿Buscas un nuevo reto donde puedas desarrollar tu carrera en Business Intelligence y trabajar con herramientas líderes del mercado? Entonces sigue leyendo \uD83D\uDC47 En Scalian , somos más de 6.000 profesionales con presencia internacional en Europa y Norteamérica. Estamos especializados en servicios de Data, Cloud e Inteligencia Artificial , acompañando a nuestros clientes en su transformación digital. \uD83D\uDE80 ¿Qué buscamos? Buscamos un/a Business Intelligence Consultant para integrarse en proyectos con clientes del sector bancario. Trabajarás en proyectos de analítica y visualización de datos. ## Qualifications Requisitos • Experiencia de 3 a 6 años en Business Intelligence • Dominio de Power BI, Tableau u otras herramientas similares • Experiencia en entornos de análisis de datos y reporting Requisitos valorables • Conocimiento en QlikView / Qlik Sense • Experiencia con MicroStrategy • Inglés (nivel opcional) • Experiencia previa en sector bancario ## Additional Information ¿Qué te ofrecemos? \uD83D\uDE80 Proyecto estable en un equipo de alto nivel con tecnologías punteras \uD83D\uDCBB 100% remoto \uD83D\uDCDD Contrato indefinido \uD83D\uDCB0 Salario hasta 50K \uD83D\uDCDA Formación continua, certificaciones y planes de desarrollo personalizados \uD83D\uDD50 Horario flexible para facilitar la conciliación \uD83C\uDF89 Afterworks y eventos de equipo \uD83C\uDF82 Tarde libre en tu cumpleaños \uD83C\uDFCB️‍♂️ Descuentos en gimnasios \uD83D\uDCB2 Retribución flexible (seguro médico, restaurante, transporte, guardería…) \uD83C\uDF0D Proyección internacional dentro del grupo ♻️ Compromiso con la sostenibilidad ⚖️ Entorno inclusivo y diverso", "summaryDescription" : "Data Analyst - Business Intelligence at Scalian. Skills: Business Intelligence, Data visualization. Work on analytics and data visualization projects", "postedDate" : "2026-06-15T11:58:48.000", "createdAt" : "2026-06-15T21:32:09.353", "lastUpdated" : "2026-06-16T06:09:46.434", "ingestTimestamp" : "2026-06-15T21:32:09.353", "mongoId" : "6a304f3ff292fd229cee64e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Data analysis", "Reporting", "Business Intelligence", "Data visualization", "Banking sector", "Power BI", "Tableau", "QlikView", "Qlik Sense", "MicroStrategy" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 553.40936, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69d3e6b92beec4dd3d3f73c8", "title" : "Program Manager II, Routing and Planning", "company" : "Amazon", "industry" : "Project/Program/Product Management--Non-Tech, Program Management, Logistics", "salary" : { "min" : 2500000.0, "max" : 4500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Program Manager II, Routing and Planning in Hyderabad, India, adjusted for mid-seniority, manager experience, and Amazon's company size and e-commerce industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-14T23:48:52.700", "fingerprint" : "a4a8d4644e130084b253b3ea0c20e2eba8e95998c18a6ce60399996c25e7cea4", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383739/apply", "externalId" : "c7de1fd9-b8ab-451f-8eb5-7d07e5771d69", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceLevel" : "Manager", "technicalSkills" : "Excel, SQL", "professionalSkills" : [ "Logistics domain", "Analytical rigor", "Data integrity" ], "hardSkillsList" : [ "Process improvement", "Data analysis", "Root cause analysis", "Metrics tracking" ], "softSkillsList" : [ "Customer obsessed", "Effective communicator", "Adept at learning", "Independent", "Sound judgments" ], "hardSkills" : [ { "name" : "Process improvement", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Root cause analysis", "level" : "intermediate" }, { "name" : "Metrics tracking", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer obsessed" }, { "name" : "Effective communicator" }, { "name" : "Adept at learning" }, { "name" : "Independent" }, { "name" : "Sound judgments" } ], "majorSkills" : "Program management, Process improvement, Cross-functional collaboration, Logistics solutions", "majorSkillsList" : [ "Program management", "Process improvement", "Cross-functional collaboration", "Logistics solutions" ], "coreResponsibilities" : "Program manage solution for last mile problems, Define success criteria for programs, Audit processes, Create/drive metrics to track program health, Influence program health, Collaborate with multiple teams, Develop solutions, Identify areas of opportunity, Develop areas of opportunity, Manage areas of opportunity, Execute analyses to uncover opportunities, Present written business recommendations, Analyze business problems, Solve business problems at their root", "teamCollaboration" : "Cross-functional teams; Business teams; Technical teams; Operations teams; Product teams", "projectManagementSkills" : [ "Program management", "Project management" ], "domainKnowledge" : "Transportation domain; Logistics domain; Last mile problems", "domainList" : [ "transportation-domain", "logistics-domain", "last-mile-problems" ], "domainSpecificKnowledge" : [ "Transportation domain", "Logistics domain", "Last mile problems" ], "toolProficiency" : [ "Excel", "SQL" ], "communicationSkills" : "Effective communicator; Written recommendations", "continuousLearning" : "Learning new tools; Learning new systems", "innovationCreativity" : "Create solutions; Build customized logistics solutions", "problemSolvingSkills" : "Data driven decisions; Solve business problems; Root cause analysis", "outcomesObjectives" : "Improve customer experience; Solve problems for the long term", "qualificationsBasic" : "3+ years program or project management, 3+ years working cross functionally, 3+ years defining and implementing process improvement, Knowledge of Excel (Pivot Tables, VLookUps) advanced, Knowledge of SQL advanced, Experience defining program requirements, Experience using data and metrics to determine improvements", "qualificationsPreferred" : "3+ years driving end to end delivery, Communicating results to senior leadership, 3+ years driving process improvements, Experience in stakeholder management, Experience dealing with multiple stakeholders, Experience building processes, Experience project management, Experience with schedules", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Amazon.com, Inc. (NASDAQ:AMZN), a Fortune 500 company based in Seattle, opened its online retail in July 1995 and today, stands as one of the world’s largest internet retailer. Amazon.com, Inc. seeks to be Earth's most customer-centric company, where customers can find and discover anything they might want to buy online, and endeavors to offer its customers the lowest possible prices. We operate retail websites in 20+ countries, offering millions of products in more than 40 categories worldwide, and we still like to work hard, have fun and make history. Amazon’s Routing and Planning team is looking for an enthusiastic, customer obsessed Program Manager to manage projects, implement and improve metrics, work in collaboration with Amazon’s technology, product, business and operations teams to create solutions for our internal and external customers. To be successful in this role, you need a passion for making data driven decisions which will have direct impact on the customer experience. Some keys to your success are the ability to be an effective communicator to various audiences. The ability to remain flexible and adept to learning new tools and systems is instrumental your role on the team. Our environment is deadline driven, fast paced and requires you to be detail-oriented and comfortable interacting or working with multiple teams (business and technical). The ideal candidate has a background of running large, cross-functional projects. The candidate is as comfortable working on high-level strategy and design, as they are rolling up their sleeves and working on implementation. They have demonstrated the ability to build customized logistics solutions, drive process improvement, standardize procedures and eliminate the root cause of defects within current systems. This job will require strong communication skills while having the ability to work independently in a high pressure, and often ambiguous, work environment. Passion and drive for customer service is a must. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience, and get the right things done. Key job responsibilities Major Responsibilities: · Program manage the solution for last mile related problems from identification, scoping and sizing to creating long term solutions in partnership with tech, product, business and operations · Define success criteria for programs and audits processes and create/ drive right metrics to track and influence program health · Collaborate with multiple teams as a subject matter expert in Transportation and logistics domain and develop solutions that utilize the highest standards of analytical rigor, data integrity and solves problem for the long term · Identify, develop, manage, and execute analyses to uncover areas of opportunity and present written business recommendations · Analyze and solve business problems at their root Basic Qualifications: - 3+ years of program or project management experience - 3+ years of working cross functionally with tech and non-tech teams experience - 3+ years of defining and implementing process improvement initiatives using data and metrics experience - Bachelor's degree - Knowledge of Excel (Pivot Tables, VLookUps) at an advanced level and SQL - Experience defining program requirements and using data and metrics to determine improvements Preferred Qualifications: - 3+ years of driving end to end delivery, and communicating results to senior leadership experience - 3+ years of driving process improvements experience - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization - Experience building processes, project management, and schedules Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Program Manager II, Routing and Planning at Amazon. Skills: Program management, Process improvement, Cross-functional collaboration, Logistics solutions. Program manage solution for last mile problems. Define success criteria for programs", "postedDate" : "2026-06-13T02:21:34.879", "createdAt" : "2026-06-13T02:21:34.879", "lastUpdated" : "2026-06-14T23:48:52.700", "ingestTimestamp" : "2026-06-13T02:21:34.879", "mongoId" : "69d3e6b92beec4dd3d3f73c8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383739/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Process improvement", "Data analysis", "Root cause analysis", "Metrics tracking", "Customer obsessed", "Effective communicator", "Adept at learning", "Independent", "Sound judgments", "Program management", "Cross-functional collaboration", "Logistics solutions", "Logistics domain", "Analytical rigor", "Data integrity", "Project management", "Transportation domain", "Last mile problems", "Excel", "SQL" ], "skillCount" : 20, "jobCategory" : "project-management", "dataQualityScore" : 1.0, "_score" : 549.5898, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69fb5f5d4c40e2acd191fba6", "title" : "Manager Transportation Routing", "industry" : "Education", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager Transportation Routing in Houston, United States, adjusted for the Education industry and manager seniority." }, "location" : "TEXAS-HOUSTON-TRANSPORTATION HB ADMIN", "locations" : [ "TEXAS-HOUSTON-TRANSPORTATION HB ADMIN", "
TRANSPORTATION HB ADMIN (842)
16707 BISSONNET
HOUSTON, 77083

" ], "certifications" : [ "Valid Texas Drivers License" ], "timestamp" : "2026-06-16T03:25:31.588", "fingerprint" : "084cfd906af63fc6f7dd19a5c1199c444ad74614723c131654488089615bdf27", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=190775", "externalId" : "190775", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceLevel" : "Manager", "technicalSkills" : "GIS", "professionalSkills" : [ "Route optimization", "Service planning", "Data analysis" ], "hardSkillsList" : [ "Routing operations", "Load capacity analysis", "Stop feasibility analysis" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Routing operations", "level" : "intermediate" }, { "name" : "Load capacity analysis", "level" : "intermediate" }, { "name" : "Stop feasibility analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Routing operations management, Department leadership, Strategic support", "majorSkillsList" : [ "Routing operations management", "Department leadership", "Strategic support" ], "coreResponsibilities" : "Oversee daily routing operations, Ensure accuracy and integrity of routing data, Review, adjust, and optimize routes, Implement continuous improvement strategies, Maintain routing system readiness, Ensure Routing Department contributes to operational readiness, Direct, supervise, and develop Routing Department, Provide coaching and guidance, Ensure processes and practices align with SOPs, Foster a collaborative culture, Provide routing expertise, Conduct routing impact analyses, Support long-range transportation considerations, Assist with routing-related projects, Collaborate with other departments, Participate in strategic review processes, Serve as a primary routing resource, Coordinate with Transportation leadership, Provide maps, reports, and recommendations, Directly supervise assigned routing staff, Evaluate employee performance, Participates in hiring, onboarding, training, Ensures staff compliance with policies, Coordinates staffing coverage, Assigns and prioritizes work", "teamCollaboration" : "Cross-functional collaboration; Support campuses and families; Coordinate with departments", "domainKnowledge" : "School transportation; Special education transportation; CTE transportation; Magnet transportation; McKinney-Vento transportation; District planning; Fleet capacity; Bell schedule alignment; Campus openings", "domainList" : [ "school-transportation", "special-education-transportation", "cte-transportation", "magnet-transportation", "mckinney-vento-transportation", "district-planning", "fleet-capacity", "bell-schedule-alignment", "campus-openings" ], "domainSpecificKnowledge" : [ "School transportation", "Special education transportation", "CTE transportation", "Magnet transportation", "McKinney-Vento transportation", "District planning", "Fleet capacity", "Bell schedule alignment", "Campus openings" ], "toolProficiency" : [ "Routing systems", "GPS devices" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Process documentation", "continuousLearning" : "Professional development attendance", "problemSolvingSkills" : "Problem-solving; Decision making", "specialRequirements" : "Occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, Lifting/carrying less than 40 pounds, Regularly use hands to finger, handle, or feel objects, Reach with hands and arms, Talk or hear, Close vision, color vision, adjust focus, Occasional prolonged or irregular hours, Maintain emotional control under stress, Prolonged sitting and standing, Frequent twisting, Occasional kneeling, bending, stooping, Prolonged driving, Moderate walking, Frequent climbing, reaching, grasping, Light lifting less than 15 pounds, Work in office and operational settings, Exposure to heat and cold, Exposure to vehicle fumes, noise, Working around moving vehicles, Irregular or prolonged work hours, Extended hours during peak periods, Maintain emotional control in high-stress situations, Exercise sound judgment, Engage in frequent problem-solving, High-volume communication", "qualificationsBasic" : "Minimum 5 years experience in school transportation, routing operations, logistics, or related operational management, Supervisory experience required, Valid Texas Drivers License", "qualificationsPreferred" : "Bachelor's degree in logistics, transportation management, geography, public administration, education, or related field, Four (4) years of professional experience may be considered in lieu of a degree", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Transportation Manager - Routing will provide leadership and oversight for the entire Routing Department, ensuring efficient, accurate, and student‑centered route development across all programs. The Transportation Manager – Routing directs staff, systems, and processes that support daily operations while contributing to long‑range service planning, boundary‑related analysis, and routing‑related project work. This position ensures routing operations are aligned with FBISD policies, departmental goals, and service expectations established by Transportation leadership. Position Description Essential Duties and Responsibilities Routing Operations Management Oversee daily routing operations for Regular Education, Special Education, CTE, Magnet, McKinney-Vento, and specialized transportation programs. Ensure the accuracy and integrity of routing data, maps, bus stops, ride times, and load counts across all routing systems. Review, adjust, and optimize routes to support bell schedules, capacity utilization, ride-time expectations, and overall operational efficiency. Implement continuous improvement strategies to enhance route safety, service delivery, and system efficiency. Maintain routing system readiness to support real‑time operational decision‑making, including emergency response, weather impacts, and significant service disruptions. Ensure the Routing Department contributes effectively to daily operational readiness, communication, and coordination across transportation terminals. Department Leadership & Oversight Direct, supervise, and develop the Routing Department to ensure effective workload distribution, staff performance, and consistent application of FBISD routing standards. Provide coaching, guidance, and ongoing development for Routing Specialists and support staff. Ensure processes, documentation, and routing practices align with district Transportation Standard Operating Procedures (SOPs). Foster a collaborative, customer-focused culture that supports campuses, families, and Transportation leadership. Strategic Support & Analysis Provide routing expertise and input related to enrollment changes, program relocations, and boundary adjustments. Conduct routing impact analyses (ride times, load capacity, stop feasibility) to inform district planning teams. Support long‑range transportation considerations such as fleet capacity, bell schedule alignment, and campus openings, without serving as the district’s primary planner or boundary manager. Project Coordination & System Development Assist leadership with routing‑related projects such as GIS enhancements, software updates, efficiency studies, and service model refinements. Collaborate with other departments (Special Education, Planning, Technology, CTE, etc.) to execute routing initiatives that impact districtwide transportation service. Participate in strategic review processes and provide subject-matter expertise related to routing systems and operational impacts. Stakeholder Communication & Support Serve as a primary routing resource for campuses, families, and district departments. Coordinate with Transportation leadership to respond to escalations, service adjustments, or districtwide operational changes. Provide maps, reports, and routing recommendations as needed for decision‑making. Supervisory Responsibilities Directly supervises assigned routing staff Evaluate employee performance and provide coaching, feedback, and corrective action as needed. Participates in hiring, onboarding, training, and professional development of routing personnel. Ensures staff compliance with district policies, Transportation Standard Operating Procedures, and routing standards. Coordinates staffing coverage to support operational demands, peak periods, and emergency response needs. Assigns and prioritizes work to ensure timely completion of daily routing tasks and projects. Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. Bachelor's degree in logistics, transportation management, geography, public administration, education, or related field preferred. Four (4) years of professional experience may be considered in lieu of a degree. Valid Texas Drivers License Minimum of 5 years experience in school transportation, routing operations, logistics, or related operational management. Supervisory experience required, with proven success managing staff performance and operational processes. Experience working within or coordinating with multiple departments (Transportation, SPED, Planning, Operations) preferred. Knowledge of school bus routing systems, GIS mapping, bus stop design, and transportation safety standards. Understanding of FBISD Transportation SOPs and district expectations for safety, efficiency, customer service, and department effectiveness, as outlined in the Transportation Department Employee Handbook. Strong analytical and problem‑solving skills for evaluating routes, efficiency models, and program impacts. Skilled in leading and developing staff, supported by the district’s emphasis on leadership Strong verbal and written communication skills for collaborating with campuses, families, and district departments. Ability to manage multiple projects and timelines in a high-volume, fast-paced operational environment. Proficiency with routing and transportation software; ability to learn new systems and lead departmental adoption when needed. Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. Additional Information This position requires the use of tools and equipment such as school buses, two‑way radios, GPS devices, safety equipment, and adaptive transportation equipment. The role involves prolonged sitting and standing, with frequent twisting and occasional kneeling, bending, and stooping. Job duties may include prolonged driving, moderate walking, and frequent climbing, reaching, and grasping. Light lifting of work‑related materials weighing less than 15 pounds may be required. Work is performed in both office and operational settings, including transportation facilities, outdoor environments, and school buses. The position involves exposure to heat and cold, vehicle fumes, noise, and working around moving vehicles. Irregular or prolonged work hours may be required, including extended hours during peak operational periods, emergencies, or districtwide events. This position requires the ability to maintain emotional control in high‑stress situations, exercise sound judgment in high‑demand decision‑making environments, and engage in frequent problem‑solving. The role involves high‑volume communication and frequent interaction with campuses, district departments, and community stakeholders to support transportation operations and service delivery. TEXAS-HOUSTON", "summaryDescription" : "Manager Transportation Routing. Skills: Routing operations management, Department leadership, Strategic support. Oversee daily routing operations. Ensure accuracy and integrity of routing data", "createdAt" : "2026-06-14T19:47:51.121", "lastUpdated" : "2026-06-16T03:25:31.588", "ingestTimestamp" : "2026-06-14T19:47:51.121", "mongoId" : "69fb5f5d4c40e2acd191fba6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Routing operations", "Load capacity analysis", "Stop feasibility analysis", "Leadership", "Routing operations management", "Department leadership", "Strategic support", "Route optimization", "Service planning", "Data analysis", "School transportation", "Special education transportation", "CTE transportation", "Magnet transportation", "McKinney-Vento transportation", "District planning", "Fleet capacity", "Bell schedule alignment", "Campus openings", "Valid Texas Drivers License", "Routing systems", "GPS devices" ], "skillCount" : 22, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Manager", "dataQualityScore" : 0.6666667, "_score" : 547.4611, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "68c2e437f8b1b0376634c87b", "title" : "Business Intelligence Manager", "company" : "Amazon Shipping", "industry" : "Business Intelligence, Business Intel Engineer, transportation and logistics", "salary" : { "min" : 2850000.0, "max" : 4550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Business Intelligence Manager in Hyderabad, India, adjusted for manager seniority at a large company in the logistics industry." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T02:51:10.379", "fingerprint" : "c2d94e881df073d3cc42f868d488dd37daa4ab96bf3801114bfe3b17be44216d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3072619/apply", "externalId" : "545dab1d-f48e-42c6-ade1-61c8afcf29b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL, Tableau, Quicksight, R, Python, Weka, SAS, Matlab, Amazon Q", "professionalSkills" : [ "Business analytics", "Data science management", "Analytics frameworks", "Data pipelines", "Reporting solutions", "Business performance", "Key performance indicators", "Process improvement" ], "hardSkillsList" : [ "Data management", "Data visualization", "Statistical analysis", "Machine learning software" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning software", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Business Intelligence, Analytics, Data Management, Reporting", "majorSkillsList" : [ "Business Intelligence", "Analytics", "Data Management", "Reporting" ], "coreResponsibilities" : "Provide data management processes, Build queries and macros, Write VBA code, Organize data, Design reports, Retrieve and analyze data, Design and implement reporting solutions, Take ownership of reporting processes, Build and manage KPIs, Monitor existent metrics, Build new metrics, Support cross-functional teams, Generate complex queries, Innovate to improve customer experience", "teamCollaboration" : "Cross-functional teams; Data engineering teams; Tech teams", "domainKnowledge" : "Global shipping network; Logistics capabilities", "domainList" : [ "global-shipping-network", "logistics-capabilities" ], "domainSpecificKnowledge" : [ "Global shipping network", "Logistics capabilities" ], "toolProficiency" : [ "Excel", "SQL", "VBA", "Tableau", "Quicksight" ], "communicationSkills" : "Translate complex data concepts", "innovationCreativity" : "Business innovation", "problemSolvingSkills" : "Data discrepancies; Process issues", "qualificationsBasic" : "7+ years business intelligence and analytics experience, 5+ years managing a business intelligence or analytics team, Experience with SQL, Experience with ETL, Experience with data visualization using Tableau, Quicksight, or similar tools, Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software", "qualificationsPreferred" : "4+ years working with very large data warehousing environment, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years infrastructure components, 10+ years ETL/ ELT, 10+ years reporting/analytic tools and environments, 10+ years data structures, 10+ years hands-on SQL coding experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Ready to build Amazon's next $100B business? The SWA Business Analytics team is the backbone of data, analytics, and business insights for Amazon Shipping. We're not just crunching numbers—we're revolutionizing how data drives decision-making across a global shipping network. By evolving Amazon's legendary analytics capabilities into an agile, intelligent insights engine, we're creating a data ecosystem that continuously optimizes to deliver actionable intelligence for every business unit and every customer. Every insight we generate is more than just a metric—it spins the flywheel faster, continuously enhancing our shipping network through scale, speed, and intelligence. As we increase our analytical capabilities and reach, we're transforming data-driven decision making for ALL aspects of Amazon Shipping while simultaneously strengthening Amazon's overall logistics capabilities—reducing costs and accelerating growth across our entire ecosystem. What will you do? We're hiring a Manager, Business Analytics who will enhance our ability to deliver data-driven insights with speed and accuracy. Your mission is to create clear pathways for teams to rapidly transform raw data into working solutions while maintaining transparency across our organization. You'll design and implement sophisticated analytics frameworks for worldwide operations, including Commercial Sales, Marketing, Revenue Management, Customer Support, and Sustainability. You'll coordinate essential analytics activities in ways that keep teams focused on business outcomes rather than just data processing. You'll partner with data engineering and tech teams to establish consistent data pipelines and analytics tools that drive accountability while preserving the creativity and autonomy that leads to business innovation. In this role, you'll balance the need for structured analytics with the imperative to maintain customer obsession as we grow, ensuring we can deliver insights with the speed and reliability our business partners expect. You'll also lead the charge in elevating our reporting capabilities through advanced data tools, including artificial intelligence solutions such as Amazon Q. Who are you? You're an experienced analytics leader who has successfully implemented effective frameworks that enable teams to rapidly deliver data-driven insights across complex organizations. You understand that well-designed analytics processes should accelerate business-focused innovation rather than constrain it, and you have a proven track record of increasing analytical accuracy and relevance without creating unnecessary complexity. You have deep experience in business analytics or data science management, with demonstrated success in harmonizing data processes while keeping business outcomes at the center. You should be comfortable refining analytics approaches to focus more directly on business impact, and introducing new methodologies that deliver better insights faster. As this role involves regular interaction with senior leadership, you can translate complex data concepts into clear business terms. The ideal candidate has a history of improving cross-functional collaboration, increasing responsiveness to business needs, and creating organizational clarity in rapidly scaling data environments. You're a thoughtful enabler who measures success by how effectively teams leverage data to drive business growth, maintaining the right balance between analytical rigor and practical application. Key job responsibilities • Provide data management processes such as accessing raw data feeds, building queries and macros, writing VBA code, organizing data and designing reports that present status-at-a-glance visualization for business performance. • Retrieving and analyzing large sets of data using Excel, SQL, and other data management systems. • Designing and implementing reporting solutions to enable stakeholders to manage the business and make effective decisions. • Taking ownership of reporting processes to ensure that each report is accurate and timely with a high degree of customer focus in resolving data discrepancies. • Building and managing related key performance indicators (KPIs) to measure, control, and benchmark reporting processes. • Monitoring existent metrics, building new metrics, and partnering with internal teams to identify process and system improvement opportunities. • Supporting cross-functional teams on the day-to-day execution of the existent program implementation. • Generating complex queries to dive deep on process issues. • Innovating to improve customer experience. Basic Qualifications: - 7+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with SQL - Experience with ETL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Manager at Amazon Shipping. Skills: Business Intelligence, Analytics, Data Management, Reporting. Provide data management processes. Build queries and macros", "postedDate" : "2026-06-13T09:30:02.888", "createdAt" : "2026-06-13T09:30:02.888", "lastUpdated" : "2026-06-15T02:51:10.379", "ingestTimestamp" : "2026-06-13T09:30:02.888", "mongoId" : "68c2e437f8b1b0376634c87b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3072619/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data management", "Data visualization", "Statistical analysis", "Machine learning software", "Leadership", "Business Intelligence", "Analytics", "Data Management", "Reporting", "Business analytics", "Data science management", "Analytics frameworks", "Data pipelines", "Reporting solutions", "Business performance", "Key performance indicators", "Process improvement", "Global shipping network", "Logistics capabilities", "Excel", "SQL", "VBA", "Tableau", "Quicksight" ], "skillCount" : 24, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 546.0111, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69cf3f042beec4dd3d934076", "title" : "Business Intelligence Engineer", "company" : "Amazon Dev Center India", "industry" : "Business Intelligence, Business Intel Engineer, Cloud Computing", "salary" : { "min" : 1750000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Business Intelligence Engineer in Hyderabad, India, with 3+ years of experience at a large technology company." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-16T00:56:35.574", "fingerprint" : "9f63ecfe3f88706678a85210d970042017689d2a1dcbc4fac119607f95901357", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382507/apply", "externalId" : "7d5b41b1-59ca-4f72-9194-edf749a0e918", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "technicalSkills" : "Redshift, Oracle, NoSQL, Tableau, Quicksight, ETL, SQL, Python, R, SAS, Matlab, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Statistical Analysis" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "Data modeling", "Data warehousing", "ETL pipeline development", "SQL querying", "Data processing", "Statistical analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipeline development", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Analysis, Data Visualization, ETL", "majorSkillsList" : [ "Business Intelligence", "Data Analysis", "Data Visualization", "ETL" ], "coreResponsibilities" : "Analyze transaction data, Visualize transaction data, Determine customer behaviors, Output solid analysis report, Provide recommendations, Design experiments, Drive experiments, Form actionable recommendations, Present recommendations to business leaders, Drive decisions, Manage implementation of recommendations, Develop metrics, Support product category growth, Support expansion plans, Serve as liaison between Business and technical teams, Provide actionable insights, Conduct ad hoc investigations, Gather data, Manipulate data, Synthesize data, Model data, Solve problems, Communicate insights, Communicate recommendations", "teamCollaboration" : "Liaison between Business and technical teams", "domainKnowledge" : "Physical retail space", "domainList" : [ "physical-retail-space" ], "domainSpecificKnowledge" : [ "Physical retail space" ], "toolProficiency" : [ "Redshift", "Oracle", "NoSQL", "Tableau", "Quicksight", "R", "SAS", "Matlab" ], "communicationSkills" : "Present recommendations; Communicate insights; Communicate recommendations", "problemSolvingSkills" : "Problem solving", "outcomesObjectives" : "Support product category growth; Support expansion plans", "qualificationsBasic" : "3+ years analyzing data, Experience with Redshift, Experience with Oracle, Experience with NoSQL, Experience with Tableau, Experience with Quicksight, Experience with data modeling, Experience with data warehousing, Experience building ETL pipelines, Experience using SQL, Scripting experience (Python), Experience in Statistical Analysis packages", "qualificationsPreferred" : "Experience with AWS solutions, Experience with EC2, Experience with DynamoDB, Experience with S3, Experience with Redshift, Experience in data mining, Experience with ETL, Experience using databases in a business environment, Experience with large-scale, complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As part of the AWS Applied AI Solutions organization, we have a vision to provide business applications, leveraging Amazon’s unique experience and expertise, that are used by millions of companies worldwide to manage day-to-day operations. We will accomplish this by accelerating our customers’ businesses through delivery of intuitive and differentiated technology solutions that solve enduring business challenges. We blend vision with curiosity and Amazon’s real-world experience to build opinionated, turnkey solutions. Where customers prefer to buy over build, we become their trusted partner with solutions that are no-brainers to buy and easy to use. We’re trying to optimize shopping experience for Amazon’s Customers in the Physical retail space. This role will be a key member of the core Analytics team located in Hyderabad. The successful candidate will be a self-starter comfortable with ambiguity, with strong attention to detail, an ability to work in a fast-paced, high-energy and ever-changing environment. The drive and capability to shape the business group strategy is a must. Key job responsibilities · Analyze and visualize transaction data to determine customer behaviors, and output solid analysis report with recommendation · Design and drive experiments to form actionable recommendations. Present recommendations to business leaders and drive decisions. Also manage implementation of those recommendations. · Develop metrics that helps support product category growth and expansion plans Serve as liaison between the Business and technical teams to achieve the goal of providing actionable insights into current business performance, and ad hoc investigations into future improvements or innovations. This will require data gathering and manipulation, synthesis and modeling, problem solving, and communication of insights and recommendations About the team Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience in Statistical Analysis packages such as R, SAS and Matlab Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer at Amazon Dev Center India. Skills: Business Intelligence, Data Analysis, Data Visualization, ETL. Analyze transaction data. Visualize transaction data", "postedDate" : "2026-06-14T19:21:40.502", "createdAt" : "2026-06-14T19:21:40.502", "lastUpdated" : "2026-06-16T00:56:35.574", "ingestTimestamp" : "2026-06-14T19:21:40.502", "mongoId" : "69cf3f042beec4dd3d934076", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382507/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data visualization", "Data modeling", "Data warehousing", "ETL pipeline development", "SQL querying", "Data processing", "Statistical analysis", "Business Intelligence", "Data Analysis", "Data Visualization", "ETL", "ETL pipelines", "Statistical Analysis", "Physical retail space", "Redshift", "Oracle", "NoSQL", "Tableau", "Quicksight", "R", "SAS", "Matlab" ], "skillCount" : 23, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 544.5978, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c772f74d8ee00a093bf96", "title" : "Business Intelligence Architect", "company" : "Vultr", "industry" : "Accounting & Finance", "location" : "Remote - United States", "locations" : [ "Remote - United States" ], "timestamp" : "2026-06-15T13:27:08.071", "fingerprint" : "01f3d0ca3b8f205a9a1cd980c94b77c113f36e8f1319553cfe7d4bd2d136cc07", "source" : "ashby", "applyUrl" : "https://jobs.ashbyhq.com/vultr/f4f19a70-3089-4e98-b6d7-5de79f051914/application", "externalId" : "f4f19a70-3089-4e98-b6d7-5de79f051914", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Power BI, MySQL, BigQuery, Clickhouse, SQL, M Language", "professionalSkills" : [ "business, accounting, and Finance-focused visualizations and user interfaces" ], "hardSkillsList" : [ "Power BI", "BigQuery", "ETL pipelines", "dimensional data modeling", "database design", "data warehousing", "ETL development", "performance tuning", "OLAP cube design", "tabular data modeling", "Performance Point", "Power Pivot", "Power View", "Power BI Report and Dashboard development" ], "softSkillsList" : [ "analytical skill, problem solving, critical thinking, attention to detail, interpersonal skills, communication skills, proactive" ], "hardSkills" : [ { "name" : "Power BI", "level" : "intermediate" }, { "name" : "BigQuery", "level" : "intermediate" }, { "name" : "ETL pipelines", "level" : "intermediate" }, { "name" : "dimensional data modeling", "level" : "intermediate" }, { "name" : "database design", "level" : "intermediate" }, { "name" : "data warehousing", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "performance tuning", "level" : "intermediate" }, { "name" : "OLAP cube design", "level" : "intermediate" }, { "name" : "tabular data modeling", "level" : "intermediate" }, { "name" : "Performance Point", "level" : "intermediate" }, { "name" : "Power Pivot", "level" : "intermediate" }, { "name" : "Power View", "level" : "intermediate" }, { "name" : "Power BI Report and Dashboard development", "level" : "intermediate" } ], "softSkills" : [ { "name" : "analytical skill, problem solving, critical thinking, attention to detail, interpersonal skills, communication skills, proactive" } ], "majorSkills" : "Power BI, BigQuery, SQL, ETL pipelines, data modeling", "majorSkillsList" : [ "Power BI, BigQuery, SQL, ETL pipelines, data modeling" ], "coreResponsibilities" : "Own, and architect, and build internal datasets for business intelligence reporting. Manage existing infrastructure such as ingestion of data from MySql database to Big Query, Curation of semantic layer between raw source data and Power BI, , internal CRM database, Power Query (M Language), Salesforce, etc. Build automated, accurate reporting dashboards. Designing, developing, and maintaining business intelligence solutions using Power BI. Manage consumption and access of Power BI reporting across the company. Manage and improve existing data models and relationships. Create DAX based calculations and resolve issues. Resolve any issues related to loops and hierarchy. Create and review models and KPIs. Create and review visualizations. Mature BI model to allow for users to build their own reports (self service). Work cross-functionally to improve business intelligence architecture and reporting. Troubleshoot and resolve issues related to performance, environments, monitoring and operability of Power BI reports. Build and manage relationships with key stakeholders across business and IT organizations. Implement enterprise grade best practices in data ingestion, semantic layer, and reporting layer.", "teamCollaboration" : "organizational, interpersonal and communication skills, as well as the ability to work proactively, both individually and as a team.", "toolProficiency" : [ "Power BI, BigQuery, Clickhouse, MySQL, Salesforce, DB Ops tools" ], "communicationSkills" : "communication skills", "problemSolvingSkills" : "problem solving; critical thinking", "qualificationsBasic" : "5+ years of hands-on development experience with Microsoft Business Intelligence stack / Power BI and BigQuery. At least 3 years experience building business, accounting, and Finance-focused visualizations and user interfaces. Background building ETL pipelines. Demonstrates proficiency in the development and administration at least one of the following areas: Back-end data integration and architecture including dimensional data modeling, database design, data warehousing, ETL development, and performance tuning. Front-end reporting and analytics platforms including OLAP cube design, tabular data modeling, Performance Point, Power Pivot, Power View, Power BI Report and Dashboard development. Extremely SQL skills. Experience with Several DB Ops tools. Foundational knowledge of the following areas: Metadata management, Master Data Management, Data Governance, Data Analytics, Security and compliance minded workflows.", "qualificationsPreferred" : "Demonstrated track record of prioritizing, multitasking, and managing multiple projects/assignments simultaneously in a fast-paced environment with tight deadlines. analytical skill set and ability to translate business processes and data into insights and solutions. problem solving, critical thinking skills and a high attention to detail a must. organizational, interpersonal and communication skills, as well as the ability to work proactively, both individually and as a team. Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success.", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "WHO WE ARE Vultr is on a mission to make high-performance cloud infrastructure easy to use, affordable, and locally accessible for enterprises and AI innovators around the world. With 33 global cloud data center locations, Vultr is trusted by hundreds of thousands of active customers across 185 countries for its flexible, scalable, global Cloud Compute, Cloud GPU, Bare Metal, and Cloud Storage solutions. In December 2024 Vultr announced an equity financing at a $3.5 billion valuation. Founded by David Aninowsky and self-funded for over a decade, Vultr has grown to become the world’s largest privately-held cloud infrastructure company. VULTR CARES - 100% company-paid insurance premiums for employee medical, dental and vision plans. - 401(k) plan that matches 100% up to 4%, with immediate vesting - Professional Development Reimbursement of $2,500 each year - 11 Holidays + Paid Time Off Accrual + Rollover Plan - Commitment matters to Vultr! Increased PTO at 3 year and 10 year anniversary + 1 month paid sabbatical every 5 years + Anniversary Bonus each year - $500 stipend for remote office setup in first year + $400 each following year - Internet reimbursement up to $75 per month - Gym membership reimbursement up to $50 per month - Company paid Wellable subscription Join Vultr Vultr is seeking a highly skilled and experienced Business Intelligence (BI) Architect to design, develop, and maintain business intelligence solutions using Power BI. The ideal candidate is an expert in common data stores such as MySQL, BigQuery, Clickhouse, with proven experience maintaining, managing and manipulating systems and data for presentation to meet business needs in PowerBI. This is a highly visible role in a high-growth technology company, which will require interaction with executive team members across multiple functions. This is your opportunity to join our fast growing team and leave your mark on Constant and the future of Cloud Infrastructure. Key Responsibilities - Own, and architect, and build internal datasets for business intelligence reporting - Manage existing infrastructure such as ingestion of data from MySql database to Big Query, Curation of semantic layer between raw source data and Power BI,, internal CRM database, Power Query (M Language), Salesforce, etc. - Build automated, accurate reporting dashboards - Designing, developing, and maintaining business intelligence solutions using Power BI - Manage consumption and access of Power BI reporting across the company - Manage and improve existing data models and relationships - Create DAX based calculations and resolve issues - Resolve any issues related to loops and hierarchy - Create and review models and KPIs - Create and review visualizations - Mature BI model to allow for users to build their own reports (self service) - Work cross-functionally to improve business intelligence architecture and reporting - Troubleshoot and resolve issues related to performance, environments, monitoring and operability of Power BI reports. - Build and manage relationships with key stakeholders across business and IT organizations. - Implement enterprise grade best practices in data ingestion, semantic layer, and reporting layer Qualifications - 5+ years of hands-on development experience with Microsoft Business Intelligence stack / Power BI and BigQuery - At least 3 years experience building business, accounting, and Finance-focused visualizations and user interfaces - Background building ETL pipelines - Demonstrates proficiency in the development and administration at least one of the following areas: - Back-end data integration and architecture including dimensional data modeling, database design, data warehousing, ETL development, and performance tuning - Front-end reporting and analytics platforms including OLAP cube design, tabular data modeling, Performance Point, Power Pivot, Power View, Power BI Report and Dashboard development - Extremely strong SQL skills - Experience with Several DB Ops tools - Foundational knowledge of the following areas: - Metadata management - Master Data Management - Data Governance - Data Analytics - Security and compliance minded workflows - Demonstrated track record of prioritizing, multitasking, and managing multiple projects/assignments simultaneously in a fast-paced environment with tight deadlines - Strong analytical skill set and ability to translate business processes and data into insights and solutions - Strong problem solving, critical thinking skills and a high attention to detail a must. - Strong organizational, interpersonal and communication skills, as well as the ability to work proactively, both individually and as a team. - Ability to thrive in a fast-paced, dynamic, client-facing role where delivering solid work products to exceed high expectations is a measure of success Compensation $125,000 - $135,000 Final compensation will vary depending on years of experience, background/skill set, location, and applicable laws. INCLUSION & PRIVACY We are an equal opportunity employer and are committed to creating an inclusive environment for all employees. We welcome applications from individuals of all backgrounds and experiences, and we prohibit discrimination based on race, color, religion, sex, sexual orientation, gender identity, national origin, age, disability, veteran status, or any other protected status under applicable laws. Vultr will consider qualified applicants with arrest or conviction records in accordance with applicable laws and will not conduct a background check until after an offer of employment has been extended and accepted. We also take your privacy seriously. We handle personal information responsibly and follow applicable laws, including U.S. privacy rules and India’s Digital Personal Data Protection Act, 2023. Your data is used only for legitimate business purposes and is protected with proper security measures. Where allowed by law, applicants may request details about the data we collect, access or delete their information, withdraw consent for its use, and opt out of nonessential communications. For more details, please see our Privacy Policy https://www.vultr.com/legal/privacy/.", "summaryDescription" : "Business Intelligence Architect at Vultr. Skills: Power BI, BigQuery, SQL, ETL pipelines, data modeling. Own, and architect, and build internal datasets for business intelligence reporting. Manage existing infrastructure such as ingestion of data from MySql database to Big Query, Curation of semantic layer between raw source data and Power BI, , internal CRM database, Power Query (M Language), Salesforce, etc. Build automated, accurate reporting dashboards. 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C. NTT DATA is a team of more than 190,000 diverse professionals, operating in more than 50 countries throughout the world. The sectors where we have activities include: telecommunications, finance, industry, utilities, energy, public administration and health. Our mission? Offer technological solutions, business, strategy, development and maintenance of applications, while being a benchmark in consulting. All thanks to the collaboration between teams, the human quality of our people and the fact that we do not conform to what is established, we always seek innovation that brings us closer to the future. Our essence has led us to the forefront of technology, breaking paradigms and providing solutions that truly respond to the needs of each client. Our talent has led us to be one of the top 6 technology companies in the world. Because #Greattech, needs #GreatPeople, like you NTT DATA is looking for high-achieving team players that are quickly adaptable to new challenges and entrepreneurial ventures. We are looking for a Business Analyst III to work onsite in Washington, DC with our global client. Overview The Business Analyst (BA) will act as a key liaison between business stakeholders, technical teams, and vendors, ensuring that business needs are accurately translated into functional and technical requirements for the OutSystems STEP v2 solution. Key Responsibilities Gather, analyze, and document business requirements for digital solutions built on the OutSystems platform. Facilitate workshops, stakeholder interviews, and requirements elicitation sessions. Translate business needs into: User stories Process flows Functional specifications Support backlog creation and refinement in collaboration with the Product Owner. Develop and maintain: Business process models (BPMN/flow diagrams) Use cases and acceptance criteria Ensure traceability from requirements to design, development, and testing. Work closely with Solution Architects and Developers to ensure requirements are feasible and aligned with OutSystems best practices. Participate in sprint planning, reviews, and retrospectives. Support UAT (User Acceptance Testing), including test scenario definition and validation. Identify process improvement opportunities and recommend optimized workflows. Required Qualifications Bachelor’s degree in Business Administration, Information Systems, or related field. 5+ years of experience as a Business Analyst in IT projects. Experience with Agile/Scrum methodologies. Proven experience working with digital platforms or low-code solutions (preferably OutSystems or similar). Strong understanding of SDLC (Software Development Life Cycle). Experience in requirements management tools (e.g., JIRA, Azure DevOps). Preferred Skills Experience in enterprise modernization or legacy system transformation. Familiarity with API integrations, data flows, and enterprise architectures. Experience working in large-scale, multi-stakeholder environments. Knowledge of UX/UI principles and user-centered design. Key Competencies Strong analytical and problem-solving skills Excellent communication and facilitation skills Stakeholder management Attention to detail Ability to translate complex concepts into clear deliverables Why NTT DATA? Empowerment and rewards are the cornerstone of our career development model. We are a young, fast-growing company, with a highly innovative and entrepreneurial spirit, because of this professional experience and growth will be unmatched. Our talent and positive attitude allows us to transform our goals into achievements, and projects into realities. NTT DATA is committed to hiring and retaining a diverse workforce. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, creed, sex, sexual orientation, gender identity, marital status, national origin, age, veteran status, disability, or any other protected class. NTT DATA is an Equal Opportunity Employer Male/Female/Disabled/Veteran and a VEVRAA Federal Contractor.", "summaryDescription" : "Business Analyst III at NTT DATA", "postedDate" : "2026-06-14T21:31:00.117", "createdAt" : "2026-06-14T21:31:00.117", "lastUpdated" : "2026-06-16T05:35:35.476", "ingestTimestamp" : "2026-06-14T21:31:00.117", "mongoId" : "6a2c902074d8ee00a097f5e9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 150000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "_score" : 527.0504, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c733974d8ee00a0932a03", "title" : "Business Intelligence and Systems Analyst", "company" : "EP Equipment", "industry" : "Manufacturing", "salary" : { "min" : 56000.0, "max" : 78000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence and Systems Analyst in the Logistics industry in Cologne, Germany, adjusted for company size and specific industry." }, "location" : "Köln, DE", "locations" : [ "Köln", "DE" ], "timestamp" : "2026-06-16T03:36:59.988", "fingerprint" : "2e8c0557ecb977177f462c9fee4d3a90654603cdfe828ee47c0ffb21b1d0563c", "source" : "personio", "language" : "en", "applyUrl" : "https://ep-equipment-europe.jobs.personio.de/job/2661120", "externalId" : "2661120", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Köln", "country" : "Germany", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.9383610,6.9599740" } ], "locationText" : "Köln, Germany", "technicalSkills" : "Power BI, DAX, Power Query, SQL, HubSpot, Excel, VBA, Sage, SAP HANA", "professionalSkills" : [ "Data modelling", "Process documentation" ], "hardSkillsList" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement" ], "hardSkills" : [ { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Pipeline hygiene", "level" : "intermediate" }, { "name" : "Spreadsheet retirement", "level" : "intermediate" } ], "majorSkills" : "Business intelligence, Data analysis, Systems analysis", "majorSkillsList" : [ "Business intelligence", "Data analysis", "Systems analysis" ], "coreResponsibilities" : "Pull data into Power BI, Build Power BI datasets, Reconcile data across systems, Ensure pipeline hygiene, Retire business spreadsheets, Map data flow", "teamCollaboration" : "Commercial teams; Finance teams; Country MDs; Finance directors", "domainKnowledge" : "Order to cash; After-sales service; Multi-entity operations", "domainList" : [ "order-to-cash", "after-sales-service", "multi-entity-operations" ], "domainSpecificKnowledge" : [ "Order to cash", "After-sales service", "Multi-entity operations" ], "toolProficiency" : [ "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "communicationSkills" : "Explain discrepancies", "documentationSkills" : "Process documentation; Map data flow", "continuousLearning" : "Grow with us", "problemSolvingSkills" : "Trace numbers to source; Explain discrepancies", "outcomesObjectives" : "Turn operations into trusted numbers; Make business flow legible in data; Ensure reporting tells same story", "qualificationsBasic" : "Power BI experience, Trace numbers to source, Understand business flow, Comfortable across CRM, ERP, BI, Fluent English, Power BI data modelling, Power BI DAX, Power BI Power Query, SQL query Sage, SQL query SAP HANA, HubSpot CRM data structure, HubSpot pipeline reporting, Excel proficiency, Power Query proficiency, Process documentation discipline, Map data flow", "qualificationsPreferred" : "VBA proficiency, BPMN proficiency", "workSiteFlexibility" : "Flexible", "rawDescription" : "Your responsibilities We are looking for someone who turns how EP Equipment runs into numbers people trust. EP Equipment is growing fast. Our commercial pipeline lives in HubSpot, our orders and finance run through Sage, and our stock and ledgers sit in SAP HANA. Your job is to pull them all together into Power BI dashboards that our country MDs and finance directors open every morning. When a number on the dashboard is questioned, you can trace it back to the order, the invoice, and the deal, and explain it. This is a flow-first role, not a tool-first one. We care that you understand how a dealer order becomes a delivered forklift, an invoiced job, and a serviced machine, and that you can make that flow legible in data: The reporting layer: Power BI datasets and dashboards that the commercial and finance teams run on. You are responsible for the model underneath them, not just the visuals on top. One number, one meaning: data reconciled across HubSpot, Sage and SAP HANA so the pipeline, the order book and the ledger tell the same story. CRM data quality in HubSpot: pipeline hygiene, properties and structure clean enough that the reporting on top of it can be trusted. Spreadsheet retirement: if a controller is keeping a workbook the business depends on, you replace it with a governed dashboard. What your team does Your profile You have built Power BI that people actually open every morning, not a deck of charts nobody returns to. You can trace a number from a dashboard back to the order, the invoice and the CRM deal, and explain a discrepancy without waiting for IT. You understand the business flow behind the data (order to cash, after-sales, multi-entity), not just the DAX. You are comfortable sitting across CRM, ERP and BI without needing to own any single one of them. Fluent in German; a good working level of English. On the technical side Power BI : data modelling, DAX and Power Query. You build the datasets, not just the charts. SQL: you can query Sage and SAP HANA sources yourself when a report does not add up. HubSpot: CRM data structure, properties and pipeline reporting. Direct experience preferred; strong CRM experience elsewhere works if you pick things up fast. Excel & Power Query, and ideally some VBA, for the workbooks the business still runs on today. Process documentation discipline: BPMN or equivalent. You can map the flow you are reporting on, not just describe it. Even if you are not yet confident in every area, we look forward to hearing from you if you are keen to grow with us. Why us? Modern working environment: Attractive location in Cologne-Mülheim, easily accessible by car and public transport. Start-up flair: A company that thinks innovatively and at the same time has a stable market position. You can grow with us. International team: Work in a multicultural team with colleagues from more than 14 countries. Career opportunities: Take on responsibility early and develop personally and professionally. Public transport, parking space for cars and bikes,drinks, parking, fruits, table football, table tennis. Get in contact with EP Send your CV and one paragraph on a report or dashboard you built that changed a decision: what was wrong or unclear before, what you built, and what the business measured after. Contact: recruiting@ep-equipment.eu", "summaryDescription" : "Business Intelligence and Systems Analyst at EP Equipment. Skills: Business intelligence, Data analysis, Systems analysis. Pull data into Power BI. Build Power BI datasets", "createdAt" : "2026-06-14T20:27:38.844", "lastUpdated" : "2026-06-16T03:36:59.988", "ingestTimestamp" : "2026-06-14T20:27:38.844", "mongoId" : "6a2c733974d8ee00a0932a03", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data reconciliation", "Pipeline hygiene", "Spreadsheet retirement", "Business intelligence", "Data analysis", "Systems analysis", "Data modelling", "Process documentation", "Order to cash", "After-sales service", "Multi-entity operations", "Power BI", "Sage", "SAP HANA", "HubSpot", "Excel", "Power Query", "VBA", "BPMN" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 526.9497, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a889bc74574cbbb51e1", "title" : "Business Intelligence Engineer III, AWS Infrastructure Supply Chain Intelligence", "company" : "Amazon.com Services LLC", "industry" : "Business Intelligence, Business Intel Engineer, Cloud Computing", "salary" : { "min" : 130400.0, "max" : 176300.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-14T23:45:45.956", "fingerprint" : "9041ee54b381c863efbb36ae8a38f277a0f2aeb0248242e5c664aa6a3809b8d0", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3198825/apply", "externalId" : "02622e8d-a765-43ee-a192-879872088dd5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, AWS", "professionalSkills" : [ "Business acumen", "Supply chain", "Data analysis", "Business intelligence" ], "hardSkillsList" : [ "Statistical analysis", "Data mining", "Information retrieval", "Data science", "Scripting", "Data cleaning", "Data transformation", "Data extraction" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Information retrieval", "level" : "intermediate" }, { "name" : "Data science", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics" ], "coreResponsibilities" : "Build reports, dashboards, and analyses, Deliver metrics and insights to the business, Translate business problem statements into analysis requirements, Maintain high bar throughout the execution, Define analytical review, Vet analytical approach with stakeholders, Proactively work with stakeholders to construct use cases, Construct associated standardized outputs, Have a working knowledge of the data available, Report key insight trends, Use statistical rigor to simplify and inform the, Learn and understand a broad range of Amazon’s, Know how, when, and which data resources to", "teamCollaboration" : "Work with stakeholders; Work with internal and external stakeholders; Collaborate with people across AWS; Work with the wider business; Inform the larger team", "domainKnowledge" : "AWS Infrastructure; Supply Chain Intelligence; Manufacturing Operations; Transportation Operations; Reverse Logistics; Datacenter Racks; Data Centers", "domainList" : [ "aws-infrastructure", "supply-chain-intelligence", "manufacturing-operations", "transportation-operations", "reverse-logistics", "datacenter-racks", "data-centers" ], "domainSpecificKnowledge" : [ "AWS Infrastructure", "Supply Chain Intelligence", "Manufacturing Operations", "Transportation Operations", "Reverse Logistics", "Datacenter Racks", "Data Centers" ], "communicationSkills" : "Communicate results to senior leadership", "problemSolvingSkills" : "Identify problems before they happen; Implement solutions that detect and prevent outages; Accurately prioritize projects; Make sound judgments; Improve the customer experience; Get the right things done", "outcomesObjectives" : "Ensure strategic commitments are made; Operations are exceeding desired performance levels; Drive accountability and process improvements using metrics", "qualificationsBasic" : "5+ years of SQL experience, Experience programming to extract, transform and clean large (multi-TB) data sets, Experience with theory and practice of design of experiments and statistical analysis of results, Experience with AWS technologies, Experience in scripting for automation (e. g. Python), Advanced SQL skills, Experience with theory and practice of information retrieval, data science, machine learning and data mining", "qualificationsPreferred" : "Experience working directly with business stakeholders to translate between data and business needs, Experience managing, analyzing and communicating results to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. We are looking for a talented Business Intelligence Engineer to join the Manufacturing Operations, Transportation Operations, and Reverse (MOTOR) organization in support of our Supply Chain Intelligence team. MOTOR manages the manufacturing of datacenter racks and the movement of racks/parts through the supply chain, consisting of transportation, warehousing, and reverse logistics into and out of the data centers. This role requires someone with strong analytic skills and business acumen who will work with stakeholders on strategic projects within MOTOR. The ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. Technical ability to support dashboard creation supporting daily operations, track KPIs, and provide holistic performance measurements to be shared with internal and external stakeholders is desired. The role plays a critical part in ensuring strategic commitments are made and operations are exceeding desired performance levels by using metrics to drive accountability and process improvements. Key job responsibilities - Build reports, dashboards, and analyses to deliver metrics and insights to the business. - Translate difficult business problem statements into analysis requirements and maintain high bar throughout the execution. - Define analytical approach; review and vet analytical approach with stakeholders. - Proactively and independently work with stakeholders to construct use cases and associated standardized outputs. - Have a working knowledge of the data available or needed by the wider business for more complex or comparative analysis. - Report key insight trends, using statistical rigor to simplify and inform the larger team of noteworthy story lines that impact the business. - Learn and understand a broad range of Amazon’s data resources and know how, when, and which About the team This team provides data engineering and business intelligence engineering services to the rest of MOTOR. We are the data experts behind the scenes helping the operational teams focus on operations by ensuring they have accurate, timely data and provide business insights to help improve operational excellence. *Why AWS* Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. *Diverse Experiences* Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. *Work/Life Balance* We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. *Inclusive Team Culture* Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. *Mentorship and Career Growth* We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of SQL experience - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining Preferred Qualifications: - Experience working directly with business stakeholders to translate between data and business needs - Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 130,400.00 - 176,300.00 USD annually", "summaryDescription" : "Business Intelligence Engineer III, AWS Infrastructure Supply Chain Intelligence at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Analytics. Build reports, dashboards, and analyses. Deliver metrics and insights to the business", "postedDate" : "2026-06-13T08:31:28.726", "createdAt" : "2026-06-13T08:31:28.726", "lastUpdated" : "2026-06-14T23:45:45.956", "ingestTimestamp" : "2026-06-13T08:31:28.726", "mongoId" : "69c94a889bc74574cbbb51e1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3198825/apply", "salaryAnnualMin" : 130400, "salaryAnnualMax" : 176300, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data mining", "Information retrieval", "Data science", "Scripting", "Data cleaning", "Data transformation", "Data extraction", "Mentoring", "Business Intelligence", "Data Engineering", "Analytics", "Business acumen", "Supply chain", "Data analysis", "Business intelligence", "AWS Infrastructure", "Supply Chain Intelligence", "Manufacturing Operations", "Transportation Operations", "Reverse Logistics", "Datacenter Racks", "Data Centers" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 525.6251, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a0ac3171663d49372e0c751", "title" : "Business Analyst III", "company" : "DataMap", "industry" : "Technology", "salary" : { "min" : 105000.0, "max" : 145000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Business Analyst III in Overland Park, adjusted for mid-seniority, technology industry, and full-time employment." }, "location" : "Overland Park, KS", "locations" : [ "Overland Park", "KS" ], "timestamp" : "2026-06-16T01:38:05.449", "fingerprint" : "20d1d2dc9af42d9976ddb026d1fdb4b414294f78742880a104ad5dfb9885887f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamap.breezy.hr/p/8fa711f89b54-business-analyst-iii", "externalId" : "8fa711f89b54", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Overland Park", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9742502,-94.6851702" } ], "locationText" : "Overland Park, Kansas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "qualificationsBasic" : "5+ years of experience", "rawDescription" : "Business Analyst III \uD83D\uDCCD Location: Overland Park, KS \uD83C\uDFE2 Company: DataMap \uD83D\uDD17 Client Work: www.datamap.ai/client-experience Why Join DataMap? 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Cross-functional teams; Fulfillment centers; Transportation teams; Software developers; Finance teams; Retail teams", "projectManagementSkills" : [ "Roadmap planning", "Project management" ], "domainKnowledge" : "Delivery speed; Long-term planning; Supply chain; Logistics infrastructure; Fulfillment acceleration; Operations", "domainList" : [ "delivery-speed", "long-term-planning", "supply-chain", "logistics-infrastructure", "fulfillment-acceleration", "operations" ], "domainSpecificKnowledge" : [ "Delivery speed", "Long-term planning", "Supply chain", "Logistics infrastructure", "Fulfillment acceleration", "Operations" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "communicationSkills" : "Data-driven status updates", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving; Root cause analysis", "outcomesObjectives" : "Improve customer experience; Make deliveries faster; Deliver next-day", "qualificationsBasic" : "Experience programming data sets, Experience with design of experiments, Experience with statistical analysis, Experience with AWS technologies, Experience in scripting for automation, Advanced SQL skills, Experience with data science, Experience with machine learning, Experience with data mining, Experience working with business stakeholders, Experience with SQL, Experience with data visualization, Experience with Tableau, Experience with Quicksight", "qualificationsPreferred" : "Experience managing results, Experience communicating results to senior leadership", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Have you ever ordered a product on Amazon websites and wondered how it got delivered to you so fast, and what kinds of systems & processes are running behind the scenes to power the whole operation? If so, this role is for you! The team: Same Day Speed Data - Operations is at the heart of the Amazon customer experience. Each action we undertake is on behalf of our customers, as surpassing their expectations is our passion. - We improve customer experience through continuously optimizing the complex movements of goods from vendors to customers throughout Europe. - Global transportation analytical teams are transversal centers of expertise, composed of engineers, analysts, scientists, technical program managers and developers. We are focused on Amazon most complex problems, processes and decisions. - We work with fulfillment centers, transportation, software developers, finance and retail teams across the world, to improve our logistic infrastructure and algorithms. - Fulfillment acceleration is one of those Global transportation analytical team. We are obsessed by rethinking our advanced end-to-end supply chain to make our deliveries even faster. Our overall mission is simple: we want Amazon to be the place where our customers can be delivered the next-day. Key job responsibilities This role will particularly suit someone with deep data engineering skills and an ability to navigate complex systems The role includes 80% analytical activities and 20% of stakeholder/project management. Innovation & Stakeholder/Project management: - Use and share your insights with partner teams, to influence/build a 3 year roadmap of project to accelerate speed of deliveries - Lead regular business review with partner teams to monitor the progress of projects in the roadmap. - Consolidate progress into crisp and concise data-driven status updates. Data Analytics: - Autonomously develop and lead design and execution of advanced metrics, reporting and bridging capabilities to support design speed strategy in Europe and North America - Turn data into actionable business insights to improve complex tech systems in supply chain. and work with partner teams to prioritize fixing system defects. - Perform detailed data quality checks, proactively identifying and fixing data discrepancies and inaccuracies. - Perform deep-dives and data analysis using SQL (>10TB) to uncover actionable insights for known and unknown problems. Provide recommendation on new metrics or business decision A day in the life An Amazon Business Intelligence Engineer starts the day by analyzing delivery speed data, collaborating with cross-functional teams to optimize processes. They create insightful reports and dashboards to aid decision-making for stakeholders like Operations and Logistics. By leveraging data science techniques, they forecast long-term trends to enhance delivery efficiency and customer satisfaction. They work closely with software developers, applying BI tools to improve system performance. Solving complex problems related to delivery speed and planning, they contribute to Amazon's goal of providing exceptional customer experiences. About the team GTS SLTP acts as the internal consulting team to help teams across Amazon achieves the right balance between customer experience and investments. Team members have a very large scope of impact and regularly interact with leadership two levels above them. Basic Qualifications: - Experience programming to extract, transform and clean large (multi-TB) data sets - Experience with theory and practice of design of experiments and statistical analysis of results - Experience with AWS technologies - Experience in scripting for automation (e.g. Python) and advanced SQL skills. - Experience with theory and practice of information retrieval, data science, machine learning and data mining - Experience working directly with business stakeholders to translate between data and business needs - Experience with SQL - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in the data/BI space Preferred Qualifications: - Experience managing, analyzing and communicating results to senior leadership Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Senior Business Intelligence Engineer, Delivery Speed and Long-term Planning at Amazon EU SARL (Spain Branch). Skills: Business Intelligence, Data Engineering, Delivery Speed, Long-term Planning. Influence build a 3 year roadmap. Lead regular business review", "postedDate" : "2026-06-13T20:01:07.362", "createdAt" : "2026-06-13T20:01:07.362", "lastUpdated" : "2026-06-15T08:57:57.042", "ingestTimestamp" : "2026-06-14T01:26:53.519", "mongoId" : "6a2176f474d8ee00a0c1b5ee", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10436660/apply", "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data quality checks", "Data analysis", "Statistical analysis", "Machine learning", "Data mining", "Business Intelligence", "Data Engineering", "Delivery Speed", "Long-term Planning", "Data engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Stakeholder management", "Project management", "Roadmap planning", "Delivery speed", "Long-term planning", "Supply chain", "Logistics infrastructure", "Fulfillment acceleration", "Operations", "Tableau", "Quicksight" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 508.92822, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305750f292fd229cf37c37", "title" : "Senior Business Intelligence Analyst – Product Analytics", "company" : "ZoomInfo Technologies LLC", "industry" : "Technology", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Analyst in Bulgaria, adjusted for the SaaS industry and remote work." }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:46:55.942", "fingerprint" : "5f805319f5556283dd8f227f06ff5eddef1b3cfa6b34cf8b1616ae9d9b91e93d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.zoominfo.com/careers?gh_jid=8561605002", "externalId" : "8561605002", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Product analytics, Business intelligence, Data science, Data engineering", "majorSkillsList" : [ "Product analytics", "Business intelligence", "Data science", "Data engineering" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Build and optimize data pipelines, Perform complex data analysis, Collaborate with product managers, Identify key product metrics, Drive data-informed product decisions, Communicate findings to stakeholders, Develop and implement A/B tests", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Stakeholders", "domainKnowledge" : "Product analytics; Data science; Data engineering; Machine learning; Business intelligence; Cloud data platforms; Statistical modeling", "domainList" : [ "product-analytics", "data-science", "data-engineering", "machine-learning", "business-intelligence", "cloud-data-platforms", "statistical-modeling" ], "domainSpecificKnowledge" : [ "Product analytics", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Cloud data platforms", "Statistical modeling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Stakeholder communication; Data storytelling", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills; Problem-solving", "outcomesObjectives" : "Drive data-informed product decisions; Identify key product metrics", "qualificationsBasic" : "SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "ZoomInfo is where careers accelerate. We move fast, think boldly, and empower you to do the best work of your life. You’ll be surrounded by teammates who care deeply, challenge each other, and celebrate wins. With tools that amplify your impact and a culture that backs your ambition, you won’t just contribute. You’ll make things happen–fast. Overview We are seeking a Senior Business Intelligence Analyst to help drive product strategy and execution through analytics, measurement, and actionable insights across Product, Product Leadership, and Engineering. This role is responsible for transforming complex product and business questions into actionable insights, scalable measurement approaches, and trusted analytics that influence product outcomes and business performance. This role focuses on product analytics, customer behavior, product performance, and business outcomes. The successful candidate will help Product and Engineering teams understand what is happening, why it is happening, and what actions should be taken next. The ideal candidate combines strong analytical skills, product thinking, business acumen, intellectual curiosity, and a bias toward action. They are comfortable navigating evolving business needs, quickly learning new domains, and applying data to solve complex product and customer challenges. They will independently own analytics initiatives from problem definition through recommendation while helping evolve how analytics supports Product and Engineering organizations. You will operate with a high degree of autonomy and influence, partnering closely with Product Managers, Product Leadership, Engineering, Data Engineering, and Business Intelligence teams to ensure product investments are measurable, impactful, and aligned with business objectives. What You'll Do Product Analytics Ownership • Partner with Product Managers and Engineering leaders to understand customer workflows, product experiences, user behaviors, and business objectives, using data to drive product strategy and decision-making. • Develop a deep understanding of customer workflows, product experiences, and user behaviors to identify opportunities for improved adoption, engagement, retention, and value realization. • Define success metrics and measurement plans for product launches, features, and strategic initiatives. • Develop and refine KPIs and measurement frameworks that align teams around product and business performance. • Partner with Product and Engineering teams to define event tracking requirements and ensure product telemetry supports meaningful measurement and analysis. • Quantify opportunity size and help Product teams prioritize investments based on expected customer value, business impact, and strategic objectives. • Support product teams throughout the product lifecycle, from opportunity identification and prioritization through launch and post-release evaluation. Analytics Execution & Insight Generation • Conduct deep-dive analyses to identify trends, opportunities, risks, and root causes. • Translate complex business questions into actionable insights and recommendations. • Design, analyze, and communicate results from experiments, feature launches, and product initiatives, evaluating customer and business impact. • Identify and quantify opportunities to improve product experiences, customer engagement, retention, and business outcomes through data-driven analysis. • Evaluate tradeoffs between competing product investments and provide analytical recommendations that support roadmap prioritization. Stakeholder Partnership & Data Storytelling • Act as a trusted analytics partner to Product, Engineering, and Leadership teams. • Present analytical findings and recommendations through clear narratives and effective visualizations. • Influence prioritization and strategic decisions through evidence-based insights. • Communicate complex analytical concepts to both technical and non-technical audiences. Analytics Excellence & Innovation • Partner with Data Engineering and Analytics teams to improve data quality, instrumentation, and accessibility. • Leverage modern analytics and AI-powered tools to accelerate analysis and improve team efficiency. • Contribute to scalable analytics best practices, governance, and continuous improvement across the organization. About You • You think beyond dashboards and reporting, focusing on the business decisions, customer behaviors, and product outcomes behind the data. • You bring strong product and analytical instincts, using customer behavior, product usage patterns, and business outcomes to guide recommendations and influence product decisions. • You are naturally curious, comfortable navigating ambiguity, and able to bring structure and clarity to evolving challenges. • You can move seamlessly between technical analysis, stakeholder discussions, and executive communication. • You operate independently, take ownership of outcomes, and effectively influence stakeholders through sound judgment and analytical rigor. What You Bring • 5+ years of experience in Business Intelligence, Product Analytics, Growth Analytics, or related analytical roles within B2B SaaS or technology organizations. • Demonstrated experience influencing product, business, or operational decisions through analytical insights and recommendations. • Strong SQL skills and experience working with large-scale datasets. Experience with Python or other analytical programming languages is a plus. • Experience partnering with cross-functional teams, including Product Management, Engineering, and Business stakeholders. • Proven ability to define KPIs, build measurement frameworks, and translate complex business questions into actionable analysis and recommendations. • Experience analyzing product adoption, customer behavior, engagement, retention, experimentation, or product performance. • Strong communication and data storytelling skills, with the ability to tailor insights to technical and executive audiences. • Demonstrated experience leveraging AI-powered tools and LLMs to accelerate analytical workflows, automate repetitive tasks, improve research efficiency, enhance data exploration, and generate actionable insights. Success in This Role Means • Product teams consistently use your analyses and recommendations to improve product experiences, customer outcomes, and business performance. • Product teams use your analyses to prioritize roadmap investments, evaluate tradeoffs, and make more informed product decisions. • Product and business metrics are trusted, accurate, clearly defined, and consistently applied across the organization. • Complex product and business questions are translated into clear analytical approaches that drive meaningful action and measurable outcomes. • Product opportunities, launches, and strategic initiatives are supported by clear measurement frameworks and well-defined success criteria. • Product launches, experiments, and strategic initiatives have measurable business impact. • Product decisions are increasingly informed by customer behavior, product usage patterns, and business performance insights. • ZoomInfo gains a deeper understanding of customer behavior, product adoption, engagement, and business performance through your work. Equal Employment Opportunity (EEO) Statement Our company does not discriminate in employment on the basis of race, color, religion, sex (including pregnancy and gender identity), national origin, political affiliation, sexual orientation, marital status, disability, genetic information, age, membership in an employee organization, retaliation, parental status, military service, or other non-merit factor. Actual compensation offered will be based on factors such as the candidate’s work location, qualifications, skills, experience and/or training. Your recruiter can share more information about the specific salary range for your desired work location during the hiring process. We want our employees and their families to thrive. In addition to comprehensive benefits we offer holistic mind, body and lifestyle programs designed for overall well-being. Learn more about ZoomInfo benefits here. Below is the US base salary for this position. Additional compensation such as Bonus, Commission, Equity and other benefits may also apply. $112,840—$177,320 USD About us: ZoomInfo (NASDAQ: GTM) is the Go-To-Market Intelligence Platform that empowers businesses to grow faster with AI-ready insights, trusted data, and advanced automation. Its solutions provide more than 35,000 companies worldwide with a complete view of their customers, making every seller their best seller. ZoomInfo is committed to protecting your privacy when you apply for jobs with us. Please review our Job Applicant Privacy Notice for more details on how we handle your personal information. ZoomInfo may use a software-based assessment as part of the recruitment process. More information about this tool, including the results of the most recent bias audit, is available here. ZoomInfo is proud to be an equal opportunity employer, hiring based on qualifications, merit, and business needs, and does not discriminate based on protected status. We welcome all applicants and are committed to providing equal employment opportunities regardless of sex, race, age, color, national origin, sexual orientation, gender identity, marital status, disability status, religion, protected military or veteran status, medical condition, or any other characteristic protected by applicable law. We also consider qualified candidates with criminal histories in accordance with legal requirements. For Massachusetts Applicants: It is unlawful in Massachusetts to require or administer a lie detector test as a condition of employment or continued employment. An employer who violates this law shall be subject to criminal penalties and civil liability. ZoomInfo does not administer lie detector tests to applicants in any location.", "summaryDescription" : "Senior Business Intelligence Analyst – Product Analytics at ZoomInfo Technologies LLC. Skills: Product analytics, Business intelligence, Data science, Data engineering. Develop and maintain BI dashboards. Build and optimize data pipelines", "postedDate" : "2026-06-15T23:23:13.490", "createdAt" : "2026-06-15T23:23:13.490", "lastUpdated" : "2026-06-16T07:46:55.942", "ingestTimestamp" : "2026-06-15T23:23:13.490", "mongoId" : "6a305750f292fd229cf37c37", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Data warehousing", "ETL processes", "Data visualization", "A/B testing", "Causal inference", "Product analytics", "Business intelligence", "Data science", "Data engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud data platforms", "Statistical modeling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 31, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 507.38095, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "69e104402beec4dd3def2501", "title" : "Business Intelligence Manager, AWS Infrastructure, S&OP Planning", "company" : "Amazon Data Services, Inc.", "industry" : "Business Intelligence, Business Intel Engineer, Cloud Computing", "salary" : { "min" : 143000.0, "max" : 194000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T06:04:32.908", "fingerprint" : "5cdb388f8298cb8c2ed33358552f01c3a59a06616ee81f0bb9838f4679607407", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10386218/apply", "externalId" : "059e04da-f9b0-4617-9261-e90aac851851", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "SQL, ETL, Tableau, Quicksight, R, Python, Weka, SAS, Matlab, Redshift, Glue, Airflow", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data visualization", "Metrics design", "Performance measurement", "Reporting capabilities" ], "hardSkillsList" : [ "Data analysis", "Data mining", "Building visualizations", "Generating insights", "SQL coding", "Data modeling" ], "softSkillsList" : [ "Leadership", "Mentoring", "Critical thinking" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Building visualizations", "level" : "intermediate" }, { "name" : "Generating insights", "level" : "intermediate" }, { "name" : "SQL coding", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" }, { "name" : "Critical thinking" } ], "majorSkills" : "Business intelligence, Data analytics, Data visualization", "majorSkillsList" : [ "Business intelligence", "Data analytics", "Data visualization" ], "coreResponsibilities" : "Lead design of scalable solutions, Develop scalable solutions, Maintain scalable solutions, Work with customers, Understand business problems, Propose impactful analyses, Propose impactful solutions, Partner with data engineers, Develop automated solutions, Develop deep understanding of data sources, Identify data sources, Manage prioritization of requests, Allocate work across team, Be responsible for communications, Lead creation of reporting solutions, Minimize ad hoc requests, Hire business intelligence engineers, Mentor business intelligence engineers, Develop business intelligence engineers, Serve as senior SME, Mentor for SQL, Mentor for visualization tools, Write high quality SQL, Retrieve data, Analyze data, Manage customer communication channels, Improve customer communication channels", "teamCollaboration" : "Business partners; Data engineers; Analytics teams; Business owners", "projectManagementSkills" : [ "Prioritization", "Work allocation" ], "domainKnowledge" : "AWS Infrastructure; Supply chain", "domainList" : [ "aws-infrastructure", "supply-chain" ], "domainSpecificKnowledge" : [ "AWS Infrastructure", "Supply chain" ], "toolProficiency" : [ "SQL", "Tableau", "Redshift", "Glue", "Airflow" ], "communicationSkills" : "Verbal communication; Written communication; Customer communication", "documentationSkills" : "Data dictionaries", "continuousLearning" : "Mentorship; Career growth", "innovationCreativity" : "Bold ideas", "problemSolvingSkills" : "Analytical abilities; Data-driven decision making", "qualificationsBasic" : "5+ years business intelligence experience, 5+ years managing BI team, Experience with SQL, Experience with ETL", "qualificationsPreferred" : "4+ years large data warehousing, 10+ years data warehouse technical architectures, 10+ years data modeling, 10+ years infrastructure components, 10+ years ETL/ELT, 10+ years reporting/analytic tools, 10+ years data structures, 10+ years hands-on SQL coding", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "AWS Infrastructure Services owns the design, planning, delivery, and operation of all AWS global infrastructure. In other words, we’re the people who keep the cloud running. We support all AWS data centers and all of the servers, storage, networking, power, and cooling equipment that ensure our customers have continual access to the innovation they rely on. We work on the most challenging problems, with thousands of variables impacting the supply chain — and we’re looking for talented people who want to help. You’ll join a diverse team of software, hardware, and network engineers, supply chain specialists, security experts, operations managers, and other vital roles. You’ll collaborate with people across AWS to help us deliver the highest standards for safety and security while providing seemingly infinite capacity at the lowest possible cost for our customers. And you’ll experience an inclusive culture that welcomes bold ideas and empowers you to own them to completion. Data-driven decision-making is at the core of Amazon’s culture and people who are exceptionally talented at analyzing large sets of data to build insights are critical. Your work will directly impact the decisions and strategy of the entire AWS Infrastructure Services org and our customers. You will be gathering customer needs and insights, mining large and diverse data sets from across AWS Infrastructure, building visualizations and tools for our business partners, generating insights to help senior leaders make critical business decisions. Hence, the successful BIE will not only possess the expertise and passion for analyzing data, designing metrics to measure the performance of the business, and building reporting capabilities and tools, but also will interact directly with business leaders and teams that rely on the metrics and analyses that they produce. The successful candidate will be an expert in data analytics (data engineering and visualizations), and have exemplary verbal and written communication skills. The candidate will need to be comfortable with ambiguity in a fast-paced and ever-changing environment, and able to think big while paying careful attention to detail. The candidate will have to work closely with business partners to answer key business questions through the analytics their team creates. This role requires an individual with excellent analytical abilities, deep knowledge of tools and platforms (like SQL, Tableau, Redshift, Glue, Airflow) for developing business intelligence solutions as well as ability to communicate clearly, and collaborate with both business owners and other analytics teams. Key job responsibilities - Lead the design, development, and maintenance of scalable solutions for ongoing metrics, reports, analyses, dashboards, etc. to support analytical and business needs. - Work directly with customers to understand the business problems at hand and propose impactful analyses and solutions. - Partner with data engineers to develop automated solutions. - Develop a deep understanding of our vast data sources and identify which to use to solve specific business problems. - Manage prioritization of business intelligence requests, allocate work across the team, and be responsible for communications with our customers. - Lead the creation of user-friendly repeatable reporting solutions to minimize ad hoc customer requests. - Hire, mentor and develop business intelligence engineers. - Serve as a senior SME and mentor for SQL and visualization tools (e.g., Tableau). - Write high quality SQL to retrieve and analyze data from relational databases (e.g., AWS Redshift). - Manage and improve our internal customer communication channels (e.g., wikis, data dictionaries). About the team Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (gender diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 5+ years of business intelligence and analytics experience - 5+ years of delivering results managing a business intelligence or analytics team, including employee development and performance management experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with R, Python, Weka, SAS, Matlab or other statistical/machine learning software - Experience with SQL & ETL Preferred Qualifications: - 4+ years of working with very large data warehousing environment experience - 10+ years of data warehouse technical architectures, data modeling, infrastructure components, ETL/ ELT and reporting/analytic tools and environments, data structures and hands-on SQL coding experience Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Seattle - 143,400.00 - 194,000.00 USD annually", "summaryDescription" : "Business Intelligence Manager, AWS Infrastructure, S&OP Planning at Amazon Data Services, Inc.. Skills: Business intelligence, Data analytics, Data visualization. Lead design of scalable solutions. Develop scalable solutions", "postedDate" : "2026-06-13T12:46:05.735", "createdAt" : "2026-06-13T12:46:05.735", "lastUpdated" : "2026-06-15T06:04:32.908", "ingestTimestamp" : "2026-06-13T12:46:05.735", "mongoId" : "69e104402beec4dd3def2501", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10386218/apply", "salaryAnnualMin" : 143000, "salaryAnnualMax" : 194000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data mining", "Building visualizations", "Generating insights", "SQL coding", "Data modeling", "Leadership", "Mentoring", "Critical thinking", "Business intelligence", "Data analytics", "Data visualization", "Data engineering", "Metrics design", "Performance measurement", "Reporting capabilities", "Prioritization", "Work allocation", "AWS Infrastructure", "Supply chain", "SQL", "Tableau", "Redshift", "Glue", "Airflow" ], "skillCount" : 25, "jobCategory" : "other", "dataQualityScore" : 1.0, "_score" : 506.21072, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology" }, { "id" : "6a2c903974d8ee00a097fa2a", "title" : "Business Intelligence & Automation Lead", "company" : "TrueLayer", "industry" : "FinTech", "salary" : { "min" : 95000.0, "max" : 140000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Business Intelligence & Automation role in London, UK, adjusted for the FinTech industry and company size." }, "location" : "London", "locations" : [ "London" ], "timestamp" : "2026-06-16T02:43:51.314", "fingerprint" : "8f38e9c7e72ae896b177bde8de72ec2bd621a6a205ae06d0d64e4b86b94dc694", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/truelayer/jobs/4888733101", "externalId" : "4888733101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "51.5074456,-0.1277653" }, { "city" : "Milan", "country" : "Italy", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "45.4641943,9.1896346" } ], "locationText" : "London, United Kingdom; Milan, Italy", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Looker, LookML, Python, Git, AWS", "professionalSkills" : [ "Data warehousing", "Data lineage", "Unit economics", "Margin leakage", "Operational cohorts", "Financial literacy" ], "hardSkillsList" : [ "Data transformation", "Data mapping", "Data modelling", "Data warehousing", "Automation" ], "hardSkills" : [ { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data mapping", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Automation", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Automation, Data analysis, Financial reporting", "majorSkillsList" : [ "Business Intelligence", "Automation", "Data analysis", "Financial reporting" ], "coreResponsibilities" : "Build production-grade tables, Integrate tables with data warehouse, Own visualisation layer, Evolve visualisation layer, Replace spreadsheets with dashboards, Build self-serve dashboards, Conduct exploratory analysis, Define core performance metrics, Define unit economics, Define margin leakage, Define operational cohorts, Automate workflow, Eliminate manual MoM/YoY reporting, Unify data lineages, Create cohesive reporting model, Translate data to strategic pillars", "teamCollaboration" : "Cross-functional collaboration; Work with Finance; Work with Product; Work with Engineering", "domainKnowledge" : "Modern data stack; Data warehousing; dbt workflows; VC environment; Investment environment; Acquisitions environment; Revenue; Opex; Capital allocation", "domainList" : [ "modern-data-stack", "data-warehousing", "dbt-workflows", "vc-environment", "investment-environment", "acquisitions-environment", "revenue", "opex", "capital-allocation" ], "domainSpecificKnowledge" : [ "Modern data stack", "Data warehousing", "dbt workflows", "VC environment", "Investment environment", "Acquisitions environment", "Revenue", "Opex", "Capital allocation" ], "toolProficiency" : [ "Dbt", "Looker", "Git", "AWS" ], "continuousLearning" : "Learning and development budget", "innovationCreativity" : "Generative AI platforms", "problemSolvingSkills" : "Exploratory analysis; Data wrangling", "specialRequirements" : "Handle sensitive financial data", "outcomesObjectives" : "Deliver scalable dashboards; Eliminate manual reporting", "qualificationsBasic" : "5+ years BI/data/finance analytics experience, Advanced SQL queries, Looker reporting experience, Generative AI platforms experience", "qualificationsPreferred" : "VC/investment/acquisitions environment experience, Python for data processing/modelling/pipelines, Software engineering practices experience, Git experience, Cloud environments experience, Infrastructure tooling experience, Acquisitions support experience, Working across different asset types experience, People management experience, Mentoring experience", "workSiteFlexibility" : "Hybrid", "rawDescription" : "Who we are: TrueLayer is Europe’s fastest-growing Pay by Bank network. We power smarter, safer and faster payments by combining real-time bank payments with financial and identity data. E-commerce, iGaming and Financial Services businesses use our products to onboard new users, accept money and make payouts in seconds, and at scale. Live across 22 countries and with 1 new user joining TrueLayer’s Pay by Bank network every 3 seconds, we’re in a very exciting growth stage. This is why we’re expanding the team across our offices in London, Milan, and Dublin. Listed in Sifted as one of the 100 fastest growing start-ups in UK building production-grade tables that integrate cleanly with our data warehouse Own and evolve the Strategic Finance visualisation layer in Looker; replacing fragile spreadsheets with scalable, self-serve dashboards that stakeholders actually use Conduct deep exploratory analysis to define core performance metrics, unit economics, margin leakage, and operational cohorts Workflow Automation eliminating manual MoM and YoY FP unifying disparate data lineages into one cohesive reporting model Act as a high-fidelity translator across Finance, Product, Engineering, and Commercial; mapping data to strategic pillars that the whole business can work from Handle sensitive financial data with absolute confidentiality and integrity Who you are Mindset you know what good looks like and you deliver it without needing to be told twice A systems thinker who builds for scale, not just for today Naturally inquisitive; you go beyond surface-level trends demonstrating the desire and ability to understand the underlying drivers Confident working cross-functionally, bringing stakeholders along with you rather than around you Comfortable in ambiguity; you take messy, disparate data and bring order to it Technical Skills Solid experience in a BI, data, or finance analytics role (bonus points for a VC, investment, or acquisitions environment) Advanced SQL; writing production-ready queries that clean, transform, and map complex datasets Strong understanding of modern data stack architecture, including data warehousing and dbt workflows Demonstrated experience building reporting in Looker (LookML, views, explores) Hands-on with generative AI platforms and automation tools; you use them to build, not just to explore We would be really excited if you have Python for data processing, modelling, or automated pipelines Familiarity with software engineering practices: Git, cloud environments (AWS), infrastructure tooling Experience supporting acquisitions or working across different asset types Previous people management or mentoring (not a hard requirement, but a signal of seniority) Financial literacy: Revenue, opex, and capital allocation Benefits What you can expect from us: Meaningful equity in the company \uD83D\uDCB0 Flexible hours and hybrid working. Split your time 50/50 between working from home and our welcoming offices in London and Milan , spending 2-3 days per week in the office. Need to collect the kids from childcare? Love a workout in the gym first thing? No worries, we trust you to do your best work within our hybrid framework \uD83E\uDDD8 24 days holiday as standard ✈️ with flexible bank holidays, so you can take those days whenever you like \uD83C\uDF0D 12 fully-paid wellbeing days a year and your birthday off (on top of the holiday allowance) \uD83D\uDD4A️ 2 volunteering days to support causes important to you 90 day ‘work from abroad’ policy \uD83D\uDC69‍\uD83D\uDCBB☀️ Generous parental leave, above and beyond statutory requirements \uD83D\uDC6A Competitive pension contribution at 4% & 4% \uD83E\uDDD3 Private health insurance from the day you start \uD83E\uDDD1‍⚕️ Membership of mental wellbeing platform Spill \uD83E\uDDD8\uD83C\uDFFD‍♀️ A £1000 budget to spend on learning & development each year \uD83D\uDCDA Free lunch from Just Eat \uD83E\uDD59 3 days a week when you are in the office At TrueLayer, we don’t just do inclusion and diversity. We embrace people that have different opinions, perspectives and personalities. Because we believe that by seeing the world from all sorts of angles, we can make life better for all the people who live in it. We strongly encourage applications from underrepresented groups (e. g. people of colour, the LGBTQ+ community, people with disabilities, neurodivergent people, parents, carers, and people from all socio-economic backgrounds). If you’d like to discuss alternative working patterns, please let us know. We will always aim to make appropriate adjustments to ensure we are fully inclusive to people with different needs during our interview process. So if you need us to make any adjustments to suit your individual needs please let us know - we’ll be happy to support you.", "summaryDescription" : "Business Intelligence & Automation Lead at TrueLayer. Skills: Business Intelligence, Automation, Data analysis, Financial reporting. Build production-grade tables. Integrate tables with data warehouse", "postedDate" : "2026-06-14T19:12:02.441", "createdAt" : "2026-06-14T19:12:02.441", "lastUpdated" : "2026-06-16T02:43:51.314", "ingestTimestamp" : "2026-06-14T19:12:02.441", "mongoId" : "6a2c903974d8ee00a097fa2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data transformation", "Data mapping", "Data modelling", "Data warehousing", "Automation", "Business Intelligence", "Data analysis", "Financial reporting", "Data lineage", "Unit economics", "Margin leakage", "Operational cohorts", "Financial literacy", "Modern data stack", "dbt workflows", "VC environment", "Investment environment", "Acquisitions environment", "Revenue", "Opex", "Capital allocation", "Dbt", "Looker", "Git", "AWS" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "_score" : 505.97284, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4982beec4dd3d931b29", "title" : "Business Intelligence Engineer, Enterprise Planning", "company" : "Amazon Kuiper", "industry" : "Business Intelligence, Business Intel Engineer, selling partner services", "salary" : { "min" : 99500.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Bellevue, Washington, USA", "locations" : [ "Bellevue, Washington, USA" ], "timestamp" : "2026-06-15T01:24:51.767", "fingerprint" : "5aa0fba542c4c77eed7fa5cd6c4952d9346daaabf3b507c046d49972e64aebae", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384197/apply", "externalId" : "c34efe33-b7b0-4ccd-88e8-e2f466306843", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bellevue", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6144219,-122.1923370" } ], "locationText" : "Bellevue, Washington, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, SAS, Matlab, Tableau, Quicksight, Redshift, Oracle, NoSQL, EC2, DynamoDB, S3", "professionalSkills" : [ "Data analysis", "Data pipelines", "Reporting solutions", "Business intelligence", "Analytics solutions" ], "hardSkillsList" : [ "Statistical analysis", "Data processing", "Automated reporting", "Data visualization", "SQL queries", "Data pipelines", "Data infrastructure" ], "softSkillsList" : [ "Customer-obsessed", "Problem-solver", "Invent", "Simplify", "Engineering excellence", "Learn", "Share knowledge", "Ambiguity", "Solve problems" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Automated reporting", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "SQL queries", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Data infrastructure", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer-obsessed" }, { "name" : "Problem-solver" }, { "name" : "Invent" }, { "name" : "Simplify" }, { "name" : "Engineering excellence" }, { "name" : "Learn" }, { "name" : "Share knowledge" }, { "name" : "Ambiguity" }, { "name" : "Solve problems" } ], "majorSkills" : "Business intelligence, Data analysis, SQL, Data pipelines", "majorSkillsList" : [ "Business intelligence", "Data analysis", "SQL", "Data pipelines" ], "coreResponsibilities" : "Implement analytics solutions, Maintain analytics solutions, Drive data-informed decisions, Streamline production, Create processes for data analysis, Create processes for reporting, Tackle data challenges, Translate data into insights, Build reporting solutions, Write SQL queries, Develop data pipelines, Build data infrastructure, Maintain data infrastructure, Communicate analytical findings, Communicate methodology, Lead technical initiatives, Share knowledge, Propose new technologies", "teamCollaboration" : "Cross-functional teams; Cross-organizational teams; Diverse stakeholders; Technical teams", "domainKnowledge" : "Satellite technology; Supply chain; Manufacturing; Launch; Facilities; Transportation; Finance; AI/ML advancements; LLMs; GenAI", "domainList" : [ "satellite-technology", "supply-chain", "manufacturing", "launch", "facilities", "transportation", "finance", "ai-ml-advancements", "llms", "genai" ], "domainSpecificKnowledge" : [ "Satellite technology", "Supply chain", "Manufacturing", "Launch", "Facilities", "Transportation", "Finance", "AI/ML advancements", "LLMs", "GenAI" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL", "EC2", "DynamoDB", "S3" ], "communicationSkills" : "Articulate data concepts; Clear documentation; Presentations", "documentationSkills" : "Clear documentation", "continuousLearning" : "Learn knowledge; Share knowledge", "innovationCreativity" : "Invent; Simplify processes; Propose new technologies", "problemSolvingSkills" : "Problem-solver; Solve problems; Uncover insights; Analytical approaches", "specialRequirements" : "U. S. citizen, U. S. permanent resident, Lawfully admitted refugee, Granted asylum", "outcomesObjectives" : "Enable better decision making; Monitor performance; Drive continuous improvement; Improve productivity", "qualificationsBasic" : "3+ years analyzing data, 1+ years processing large datasets, 1+ years performing statistical analysis, 1+ years developing automated reporting, Experience with data visualization, Experience using SQL, Scripting experience (Python)", "qualificationsPreferred" : "Experience with AWS solutions, Experience in data mining, Experience in ETL, Experience using databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Leo is Amazon’s low Earth orbit satellite broadband network. Its mission is to deliver fast, reliable internet to customers and communities around the world, and we’ve designed the system with the capacity, flexibility, and performance to serve a wide range of customers, from individual households to schools, hospitals, businesses, government agencies, and other organizations operating in locations without reliable connectivity. Export Control Requirement: Due to applicable export control laws and regulations, candidates must be a U.S. citizen or national, U.S. permanent resident (i.e., current Green Card holder), or lawfully admitted into the U.S. as a refugee or granted asylum. As a Business Intelligence Engineer (BIE), you will implement and maintain effective analytics solutions that drive data-informed decisions to streamline the production of Leo's satellite technology. You will focus on creating efficient, maintainable, and well-documented processes for data analysis and reporting. As a BIE within Leo Supply Chain, you will tackle complex data challenges and translate them into clear, actionable insights for the business. You are a customer-obsessed problem-solver who will build effective partnerships across Leo's ecosystem, including hardware, software, supply chain, manufacturing, launch, facilities, transportation, and finance teams. Your ability to invent and simplify processes will be key to solving day-to-day data needs. You will use your communication skills to articulate data concepts clearly and collaborate with diverse technical and non-technical stakeholders to deliver results. You will contribute to the team's engineering excellence by implementing best practices and proactively seeking opportunities to learn and share knowledge. Key job responsibilities - Collaborate with cross-functional and cross-organizational teams to understand business needs and implement data-driven solutions that enable better decision making - Define and track key metrics and performance indicators to monitor performance and drives continuous improvement across Leos's operations. - Execute analytical approaches to uncover new insights and share recommendations that improve productivity - Design and build robust, self-service reporting solutions that scale across the organization - Write complex, performant SQL queries and develop efficient data pipelines to support both recurring and ad-hoc analytical needs - Build and maintain data infrastructure in collaboration with BIEs/DEs, focusing on improving data quality and availability - Communicate analytical findings and methodology to diverse stakeholders through clear documentation and presentations - Lead technical initiatives and actively share knowledge with team members, supporting analytics best practices - Maintain awareness of AI/ML advancements (especially around LLMs and GenAI) and propose new technologies for team consideration A day in the life This role will be highly collaborative, requiring partnerships with cross-functional leaders to drive positive results. You will tackle challenging, novel business problems every day and have the opportunity to work with multiple technical teams of Leo. You should be comfortable with a high degree of ambiguity and relish the idea of solving problems that haven't been solved at scale before. Along the way, we guarantee that you will learn a lot, have fun and make a positive impact on millions of people. Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - 1+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of performing statistical analysis experience - 1+ years of developing automated reporting experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, WA, Bellevue - 99,500.00 - 160,000.00 USD annually", "summaryDescription" : "Business Intelligence Engineer, Enterprise Planning at Amazon Kuiper. Skills: Business intelligence, Data analysis, SQL, Data pipelines. Implement analytics solutions. Maintain analytics solutions", "postedDate" : "2026-06-13T02:47:31.495", "createdAt" : "2026-06-13T02:47:31.495", "lastUpdated" : "2026-06-15T01:24:51.767", "ingestTimestamp" : "2026-06-13T02:47:31.495", "mongoId" : "69d5e4982beec4dd3d931b29", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384197/apply", "salaryAnnualMin" : 99500, "salaryAnnualMax" : 160000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Data processing", "Automated reporting", "Data visualization", "SQL queries", "Data pipelines", "Data infrastructure", "Customer-obsessed", "Problem-solver", "Invent", "Simplify", "Engineering excellence", "Learn", "Share knowledge", "Ambiguity", "Solve problems", "Business intelligence", "Data analysis", "SQL", "Reporting solutions", "Analytics solutions", "Satellite technology", "Supply chain", "Manufacturing", "Launch", "Facilities", "Transportation", "Finance", "AI/ML advancements", "LLMs", "GenAI", "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL", "EC2", "DynamoDB", "S3" ], "skillCount" : 39, "jobCategory" : "other", "dataQualityScore" : 0.8888889, "_score" : 503.3329, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a306fc7f292fd229cfecce4", "title" : "Property Manager III", "company" : "Bigos Management", "industry" : "Real Estate", "salary" : { "min" : 55000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "The Palmer (Minneapolis, Minnesota)", "locations" : [ "The Palmer (Minneapolis", "Minnesota)" ], "timestamp" : "2026-06-16T10:24:59.793", "fingerprint" : "eb420d9790cee98623b4ff1d3a890753c200510451b697185b921a5cc176ad29", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.tbigos.com/careers-list.aspx?gh_jid=6030937004", "externalId" : "6030937004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Minneapolis", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9772995,-93.2654692" } ], "locationText" : "Minneapolis, Minnesota, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "professionalSkills" : [ "Property management", "Leasing activity", "Move-in process", "Move-out process", "Unit inspections", "Asset assessment", "Maintenance programs", "Personnel management", "Financial aspects", "Company goals", "Resident relations", "Vendor relations", "Contractor relations", "Team leadership", "Coaching", "Development", "Training", "Rent collection", "Eviction process", "Market research" ], "hardSkillsList" : [ "Financial reporting", "Budget management" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Financial reporting", "level" : "intermediate" }, { "name" : "Budget management", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Property operations, Financial management, Team supervision", "majorSkillsList" : [ "Property operations", "Financial management", "Team supervision" ], "coreResponsibilities" : "Oversee site leasing activity, Maximize property occupancy, Supervise move-in process, Supervise move-out process, Create turnover schedule, Perform unit inspections, Coordinate identified work, Perform physical review of assets, Assess property appearance, Assess property condition, Monitor preventative maintenance programs, Work with maintenance team, Develop positive relationships with residents, Develop positive relationships with vendors, Develop positive relationships with contractors, Develop positive relationships with site team, Lead team to success, Motivate team, Provide service consistent with Core Values, Directly supervise property employees, Coach property employees, Develop property employees, Train property employees, Comply with safety program requirements, Promote safety in the workplace, Ensure activities remain within legal boundaries, Manage rent collection process, Follow up on delinquent accounts, Work through eviction process, Perform regular market research", "teamCollaboration" : "Site team; Residents; Vendors; Contractors", "domainKnowledge" : "Fair housing laws; Company safety program; Company policies", "domainList" : [ "fair-housing-laws", "company-safety-program", "company-policies" ], "domainSpecificKnowledge" : [ "Fair housing laws", "Company safety program", "Company policies" ], "toolProficiency" : [ "Property management software" ], "continuousLearning" : "Educational assistance", "specialRequirements" : "Weekends as needed, Lift up to 10 lbs, Climb stairs, Walk hallways, Walk common areas", "outcomesObjectives" : "Meet company goals", "qualificationsBasic" : "5+ years property management, Supervise employees, Manage rent collection, Perform market research", "qualificationsPreferred" : "Experience with property management software", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "BIGOS MANAGEMENT IS PROUD TO BE NAMED A STAR TRIBUNE TOP WORKPLACE IN 2025 FOR THE 11th TIME LOCATION Palmer - Minneapolis, MN (79 Units) HOURS Monday - Friday: 8:30am - 5:00pm Weekends as needed Scheduled dates and hours subject to change at employer discretion PAY, BENEFITS AND PERKS Hiring Pay Range: $55,000 - $70,000 Competitive benefit package, including HSA employer contribution, and starting 1st of the month after hire 401(k) Plan with employer match Ten paid holidays, no waiting period to receive holiday pay Generous Paid Time Off (PTO) and rollover options Volunteer Time Off (VTO), along with additional company sponsored volunteer opportunities Company paid benefits including Life Insurance, Short Term and Long Term Disability Employee Assistance Program (EAP) Educational Assistance options Rent discount Life Time Fitness Membership discount The hiring pay range and list of benefits that are posted are an estimate and not designed to cover a complete listing of all aspects of the position. Reach out to Human Resources with any questions (hr@tbigos.com). SUMMARY The Property Manager is responsible for all operational and financial aspects of a property and meeting company goals in those areas. This includes ensuring the property is excelling in areas such as leasing, collections, resident relations, maintenance, personnel management, compliance with company safety program, laws, and company policies. Supports our employee-first culture and exemplifies our core values of relationships, development, quality, and responsibility. To perform this job successfully, an individual must be able to perform each duty satisfactorily. The requirements listed below are representative of the knowledge, skill and abilities required. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions of the position. ESSENTIAL JOB DUTIES Property Management Oversee the site’s leasing activity to ensure property occupancy is maximized Supervise the move-in and move-out process, including creating the turnover schedule, performing unit inspections, and coordinating identified work Regularly perform a physical review of the property’s assets assessing property’s appearance and condition, including monitoring Preventative Maintenance programs and working with roving maintenance team for any larger-scale maintenance projects or needs Develop and maintain positive relationships with residents, vendors, contractors, and the site team Leadership Leads team to success, motivating them to provide service consistent with our Core Values Directly supervise property employees, including coaching, development, and training Comply with all safety program requirements and works to promote safety in the workplace Makes sure all activities at the sites remain within the boundaries of all local, state, federal and fair housing laws Financial Manage the rent collection process, including following-up on all delinquent accounts and working through the eviction process as needed Perform regular market research activity by utilizing only public information (i. e. property websites stamina to maintain attention to detail despite interruptions; strength to lift and carry items weighing up to 10 pounds; vision to read printed material and a computer screen; and hearing and speech to communicate in-person and over the telephone. Must be able to quickly and easily navigate the property/building as required to meet the job functions, including climbing stairs and walking the hallways and common areas. Personal Protective Equipment: None Work Environment: Office working conditions, on property", "summaryDescription" : "Property Manager III at Bigos Management. Skills: Property operations, Financial management, Team supervision. Oversee site leasing activity. Maximize property occupancy", "postedDate" : "2026-06-16T01:16:09.023", "createdAt" : "2026-06-16T01:16:09.023", "lastUpdated" : "2026-06-16T10:24:59.793", "ingestTimestamp" : "2026-06-16T01:16:09.023", "mongoId" : "6a306fc7f292fd229cfecce4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 55000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Financial reporting", "Budget management", "Leadership", "Property operations", "Financial management", "Team supervision", "Property management", "Leasing activity", "Move-in process", "Move-out process", "Unit inspections", "Asset assessment", "Maintenance programs", "Personnel management", "Financial aspects", "Company goals", "Resident relations", "Vendor relations", "Contractor relations", "Team leadership", "Coaching", "Development", "Training", "Rent collection", "Eviction process", "Market research", "Fair housing laws", "Company safety program", "Company policies", "Property management software" ], "skillCount" : 30, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 500.62848, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Real Estate", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cdd0874d8ee00a0a5678c", "title" : "Business Intelligence Analyst", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence Analyst in Troy, United States, with adjustments for industry and company size." }, "location" : "Troy, MI", "locations" : [ "Troy, MI" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-15T22:45:56.645", "fingerprint" : "c3637fe23f47702ea7b4ca5175d062f36703a81a49e9e4c17087f15fd2684057", "source" : "jazzhr", "language" : "en", "externalId" : "qS3OCeutOj", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Troy", "state" : "Michigan", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.6055893,-83.1499304" } ], "locationText" : "Troy, Michigan, United States", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence" ], "hardSkillsList" : [ "Data analysis", "Data visualization", "ETL processes", "Database management", "Statistical modeling", "Machine learning algorithms", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Analysis, SQL, Python", "majorSkillsList" : [ "Business Intelligence", "Data Analysis", "SQL", "Python" ], "coreResponsibilities" : "Develop and maintain BI dashboards, Analyze data to identify trends, Build data models, Write SQL queries, Collaborate with stakeholders, Present findings to stakeholders, Ensure data quality, Automate reporting processes", "teamCollaboration" : "Cross-functional teams; Stakeholder communication", "domainKnowledge" : "Data warehousing; Data lakes; Cloud data platforms; Machine learning frameworks; Statistical methods", "domainList" : [ "data-warehousing", "data-lakes", "cloud-data-platforms", "machine-learning-frameworks", "statistical-methods" ], "domainSpecificKnowledge" : [ "Data warehousing", "Data lakes", "Cloud data platforms", "Machine learning frameworks", "Statistical methods" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings", "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Data analysis; Troubleshooting data issues", "qualificationsBasic" : "SQL proficiency, 5+ years experience", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "summaryDescription" : "Business Intelligence Analyst. Skills: Business Intelligence, Data Analysis, SQL, Python. Develop and maintain BI dashboards. Analyze data to identify trends", "createdAt" : "2026-06-14T21:56:26.894", "lastUpdated" : "2026-06-15T22:45:56.645", "ingestTimestamp" : "2026-06-14T21:56:26.894", "mongoId" : "6a2cdd0874d8ee00a0a5678c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data visualization", "ETL processes", "Database management", "Statistical modeling", "Machine learning algorithms", "A/B testing", "Causal inference", "Business Intelligence", "Data Analysis", "SQL", "Python", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data warehousing", "Data lakes", "Cloud data platforms", "Machine learning frameworks", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 45, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "_score" : 497.82904, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.95 }, { "id" : "69fb5f5d4c40e2acd191fbb1", "title" : "Specialist Routing", "company" : "Fort Bend ISD", "industry" : "Education", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Mid-level Specialist Routing role in Houston, United States, with adjustments for the Education industry and company size." }, "location" : "TEXAS-HOUSTON-TRANSPORTATION HB ADMIN", "locations" : [ "TEXAS-HOUSTON-TRANSPORTATION HB ADMIN", "
TRANSPORTATION HB ADMIN (842)
16707 BISSONNET
HOUSTON, 77083

" ], "timestamp" : "2026-06-16T04:58:50.863", "fingerprint" : "8eb64cebfdd41eb2991fabc8de444bc39fcb1557884c8e00b47d9542f3458b5c", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa210.taleo.net/careersection/ex/jobdetail.ftl?job=190772", "externalId" : "190772", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "technicalSkills" : "Microsoft Office Suites, Word, Excel, Outlook", "professionalSkills" : [ "Data entry", "Customer service", "Record keeping", "Reporting" ], "hardSkillsList" : [ "Routing optimization", "Data analysis" ], "hardSkills" : [ { "name" : "Routing optimization", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" } ], "majorSkills" : "Route development, Routing software, Data management", "majorSkillsList" : [ "Route development", "Routing software", "Data management" ], "coreResponsibilities" : "Oversee Transportation Department routes, Continually evaluate Transportation Department routes, Continually evaluate routing software, Communicate effectively with supervisors, Communicate effectively with schools, Communicate effectively with the public, Communicate effectively with bus drivers, Maintain a professional tone in communications, Strive for a high level of customer service, Prioritize confidentiality, Develop bus routes, Modify bus routes, Create new boundaries, Create new hazardous boundaries, Create new stops, Create new runs, Make adjustments to reflect changes, Maintain accurate roster of students, Provide accurate route information, Provide up to date route information, Support District personnel regarding routing software use, Generate reports, Develop Routing reports, Modify Routing reports, Maintain Routing reports, Update student stop count, Update AM/PM stop times, Perform routing optimization, Analyze student data, Configure student data, Generate student data, Visit site locations, Inspect street locations, Inspect address locations, Work on special projects, Create a positive work environment, Maintain a positive work environment, Reconcile routes to reflect accuracy, Perform general office administrative duties, Act as substitute dispatcher, Communicate information required to continue operations, Keep data log, Keep record of important events", "teamCollaboration" : "Inter-office communications; Intra-office communications", "domainKnowledge" : "Student enrollment; Attendance boundaries zones; E-SHARS reports", "domainList" : [ "student-enrollment", "attendance-boundaries-zones", "e-shars-reports" ], "domainSpecificKnowledge" : [ "Student enrollment", "Attendance boundaries zones", "E-SHARS reports" ], "toolProficiency" : [ "TransFinder", "Global Positioning Systems" ], "communicationSkills" : "Effective communication", "documentationSkills" : "Data entry; Report preparation", "continuousLearning" : "Professional development", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Occasional walking, Occasional standing, Occasional sitting, Occasional bending, Occasional stooping, Occasional kneeling, Occasional crouching, Occasional crawling, Lifting/carrying work related items weighing less than 40 pounds, Use hands to finger, Use hands to handle, Use hands to feel objects, Use hands to feel tools, Reach with hands, Talk or hear, Close vision, Color vision, Ability to adjust focus, Occasional irregular hours, Maintain emotional control under stress", "qualificationsBasic" : "High School Diploma or GED, Minimum of 3 years General office and data entry, Ability to problem solve, Ability to work with little or no assistance, Ability to utilize available information to familiarize oneself with streets and subdivisions in Fort Bend ISD, Ability to drive to above referenced locations when needed, Excellent organizational skills, Excellent communication skills, Flexibility in learning new concepts, Flexibility in adapting to job related changes", "qualificationsPreferred" : "Experience with routing software, Experience creating data bases, Experience creating queries, Experience creating reports", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Job Overview The Specialist Routing will oversee and continually evaluate Transportation Department routes and routing software used for supporting day-to-day operations. This position works with the Transportation Routing Supervisor, utilizing Global Positioning Systems information and data to create safe, reliable, and efficient routing for all transportation terminals and needs. Position Description Essential Duties and Responsibilities Administrative Communicate effectively with supervisors, schools, the public, and bus drivers regarding bus route issues and changes that would reflect on the Fort Bend ISD School Zone & Bus Route Web Query Maintain a professional tone in all inter- and intra-office communications, whether email, phone or person, and strive for a high level of customer service Prioritize confidentiality where and as needed Develop, and modify as needed, bus routes based on student enrollment and attendance boundaries zones. Create new 2-mile and hazardous boundaries, stops, runs and make adjustments to reflect the changes Maintain accurate roster of students for reporting purposes and eligibility requirements Provide accurate/ up to date route information and other data supporting preparation of state and local transportation reports Support appropriate District personnel regarding the use of routing software (TransFinder) that is used for generating reports Develop, modify, and maintain Routing reports required for campus, administrator, and transportation record purposes Maintain and update student stop count and AM/PM stop times for routing software program Perform routing optimization for the following school year and other required beginning and end of the year processes as necessary Analyze, configure and generate student data in routing software Visit site locations as needed to inspect street locations and address locations Work on special projects assigned by the Routing Supervisor Work to create and maintain a positive work environment Reconcile routes to reflect accuracy with E-SHARS reports Clerical Exhibit proficiency with Microsoft Office Suites, including but not limited to Word, Excel, and Outlook Perform general office administrative duties Act as substitute dispatcher when needed and communicate information required to continue operations of all Transportation functions. Keep data log/ record of important events and time of occurrence Supervisory Responsibilities NONE Qualification Requirements To perform this job successfully, an individual must be able to perform each of the above essential duties satisfactorily. The requirements listed below are representative of the knowledge, skill, and/or abilities, required unless otherwise stated as preferred. Reasonable accommodations may be made to enable individuals with disabilities to perform the essentials functions. High School Diploma or GED Minimum of 3 years General office and data entry. Experience with routing software preferred Experience creating data bases, queries and reports Ability to problem solve and work with little or no assistance Ability to utilize available information in order to familiarize oneself with streets and subdivisions in Fort Bend ISD Ability to drive to above referenced locations when needed Excellent organizational and communication skills Flexibility in learning new concepts and adapting to job related changes Physical Requirements/Working Conditions The work environment characteristics and physical demands described here are representative of those an employee encounters while performing the essential functions of this job. Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions. Work is performed in classrooms, offices, work stations and meeting rooms. The position requires occasional walking, standing, sitting, bending, stooping, kneeling, crouching, crawling, and lifting/carrying work related items weighing less than 40 pounds, such as books, papers and presentation materials. The employee is regularly required to use hands to finger, handle, or feel objects, tools, or controls; reach with hands and arms; and talk or hear. Specific vision abilities required by this job include close vision, color vision, and the ability to adjust focus. Attendance at conferences and professional development is required. Work involves everyday risks and discomforts which require normal safety precautions when operating equipment or performing job duties. May work prolonged or irregular hours and must be able to maintain emotional control under stress. TEXAS-HOUSTON", "summaryDescription" : "Specialist Routing at Fort Bend ISD. Skills: Route development, Routing software, Data management. Oversee Transportation Department routes. Continually evaluate Transportation Department routes", "createdAt" : "2026-06-14T20:49:50.691", "lastUpdated" : "2026-06-16T04:58:50.863", "ingestTimestamp" : "2026-06-14T20:49:50.691", "mongoId" : "69fb5f5d4c40e2acd191fbb1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Routing optimization", "Data analysis", "Route development", "Routing software", "Data management", "Data entry", "Customer service", "Record keeping", "Reporting", "Student enrollment", "Attendance boundaries zones", "E-SHARS reports", "TransFinder", "Global Positioning Systems" ], "skillCount" : 14, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "_score" : 492.6287, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Education", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306470f292fd229cfa1822", "title" : "Product Manager III", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Product Manager III in the United States, adjusted for mid-seniority, remote work, and the healthcare industry." }, "location" : "Remote, United States", "locations" : [ "Remote", "United States" ], "timestamp" : "2026-06-16T10:12:32.286", "fingerprint" : "a021bd5414a3183de52062a7a385f94e08ab09347e5173afef47c2adb4201ab6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132277249-product-manager-iii", "externalId" : "744000132277249", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Business acumen", "Problem-solving", "Organization", "Relationship building" ], "hardSkillsList" : [ "Story mapping", "Roadmap planning", "Product analytics" ], "hardSkills" : [ { "name" : "Story mapping", "level" : "intermediate" }, { "name" : "Roadmap planning", "level" : "intermediate" }, { "name" : "Product analytics", "level" : "intermediate" } ], "majorSkills" : "Product strategy, Product discovery, Product delivery, User needs", "majorSkillsList" : [ "Product strategy", "Product discovery", "Product delivery", "User needs" ], "coreResponsibilities" : "Drive product outcomes, Execute strategy, Track outcomes, Build relationships, Collaborate with cross-functional teams, See problems through to solutions, Involve in product discovery, Involve in product delivery, Collaborate with business partners, Collaborate with users, Collaborate with designers, Collaborate with engineering, Perform story mapping exercises, Breakdown work for development, Identify cross-team dependencies, Prepare for Roadmap Planning, Participate in Roadmap Planning, Prepare for sprint activities, Participate in sprint activities, Partner with legal teams, Partner with compliance teams, Partner with security teams, Partner with risk teams, Guide creation of user-facing communication, Guide creation of user-facing education, Refine vision, Refine strategy, Execute discovery activities, Identify user needs, Identify user pain points, Create usable experiences, Validate experiences through feedback, Validate experiences through usability testing, Perform end user shadowing, Conduct interviews, Identify user problems, Understand business problems, Advance product, Identify OKRs, Track OKRs, Use data in problem statements, Use data in solution hypotheses, Leverage product analytics, Monitor product performance, Continuously improve product, Evaluate potential features, Prioritize potential features, Align features to OKRs", "teamCollaboration" : "Cross-functional teams; Business partners; Users; Designers; Engineering; Legal teams; Compliance teams; Security teams; Risk teams; UX team; Research teams; Clinic stakeholders; Operations stakeholders; Provider stakeholders; Business stakeholders; Senior business stakeholders", "projectManagementSkills" : [ "Roadmap planning", "Sprint activities" ], "domainKnowledge" : "Kidney care platform; Health tech; 0-1 products; Nephrology practices; Electronic health care records; Renal patient care", "domainList" : [ "kidney-care-platform", "health-tech", "0-1-products", "nephrology-practices", "electronic-health-care-records", "renal-patient-care" ], "domainSpecificKnowledge" : [ "Kidney care platform", "Health tech", "0-1 products", "Nephrology practices", "Electronic health care records", "Renal patient care" ], "communicationSkills" : "User-facing communication; User-facing education", "continuousLearning" : "Internal development programmes; Global career opportunities; Non-linear career paths; Career coaching", "problemSolvingSkills" : "Problem-solving; Data-driven decision making", "specialRequirements" : "Go onsite 3 days/month, Participation in meetings via video calls, Go into corporate offices, Go into client offices, Remain stationary at desk, Work on computer, Bend, Kneel, Crouch, Reach overhead, Hand-eye coordination, Operate computers, Operate office equipment, Close vision, Tolerate fluorescent lighting, Adjust focus, Lift 25 lbs, Valid driver's license, Acceptable driving record", "outcomesObjectives" : "Solve critical business problems; Achieve business objectives; Deliver product meeting requirements; Advance product for users; Advance product for stakeholders; Achieve OKRs; Make informed decisions; Monitor product performance; Continuously improve product", "qualificationsBasic" : "Bachelor's Degree, 4+ years product experience, 4+ years digital product experience, 4+ years product experience focused on digital products, 4+ years experience building health tech products, 4+ years experience building 0-1 products, 4+ years experience writing requirements for user stories, 4+ years experience writing requirements for software features, 4+ years experience creating complex spreadsheets, 4+ years experience creating complex presentations, 4+ years experience working in health care, 4+ years experience working towards delivery of web applications, 4+ years experience working towards delivery of mobile applications", "qualificationsPreferred" : "Local to Denver, CO preferred, Experience with nephrology practices, Experience using electronic health care records systems, Experience providing care for renal patients", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. *Location: Can be Remote in the US but prefer local to Denver, CO (If local will be required to go onsite 3 days a month) Our digital product team is critical to enabling our kidney care platform, and our product team is growing! We have an opportunity for a Product Manager to drive product outcomes which solve critical business problems. Your primary activities will include executing strategy and tracking outcomes for a critical clinical capability. We are looking for someone who is an expert relationship builder, has a bias towards action, can collaborate with cross-functional teams, and is obsessive about seeing problems through to solutions. Execution & Delivery: * Product Managers are involved in product discovery through product delivery * Collaborate with business partners, users, designers and engineering to ensure solutions are achieving business objectives * Perform story mapping exercises with your team to breakdown work for development * Identify cross-team dependencies impacting or impacted by your product lane * Prepare for and participate in Roadmap Planning and sprint activities * Partner closely with our legal, compliance, security, and risk teams to ensure that we are delivering a product that meets all legal and compliance requirements. * Guide the creation of user-facing communication & education related to features & capabilities. Discovery & Strategy: * Partner with product leadership to refine vision and strategy for your product area. * Partner with engineering and UX/research to execute discovery activities that bring to light user needs & pain points * When appropriate, collaborate with the UX team to create usable experiences which are validated through rapid feedback and usability testing iterations. * Perform end user shadowing/conduct interviews and collaborate with our clinic, operations, provider, business stakeholders, and our design and research teams to identify and understand user problems to solve. * Work to understand DaVita's identified business problems in order to advance our product in a way that works for our users and stakeholders Data-Driven Decision Making: Identify and track OKRs for outcome-based advancements of the product * Use data in formulating problem statements and solution hypotheses that are quantifiable * Leverage product analytics to make informed decisions, monitor product performance, and continuously improve the product toward OKR achievement * Evaluate and prioritize potential features for your product area, and align features to respective objectives and key results (OKRs) ## Qualifications * Bachelor's Degree * 4+ years of product experience, focused on digital products * Business acumen, an insatiable curiosity, and a desire to lead * Exceptional problem-solving, organization, communication skills * Inspire those around you to care about and understand the \"why\" behind a solution * Skilled in juggling multiple tasks, prioritizing them effectively, and delivering on tight deadlines. * An ability to thrive in an organization that changes quickly * Demonstrated ability to easily build expertise in unfamiliar domains * Strong relationship building skills and the ability to partner with technical, clinical, and senior business stakeholders to accomplish goals * Experience building health tech products and 0-1 products from inception to launch * Experience writing requirements for user stories or software features, creating complex spreadsheets or presentations, working in health care, or working towards the delivery of web or mobile applications * Industry experience can be an invaluable substitute for direct product management skills. Candidates that possess knowledge of nephrology practices, using electronic health care records systems, or providing care for renal patients will be strongly considered ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. Additional Employee Requirements * Participation in both internal meetings and external meetings via video calls, as necessary. * Ability to go into corporate or client offices to work onsite, as necessary. * Prolonged periods of remaining stationary at a desk and working on a computer, as necessary. * Ability to bend, kneel, crouch, and reach overhead, as necessary. * Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary. * Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary. * For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. * For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function. *If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) * Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options * Flexible Spending Accounts (Medical, Transit, and Dependent Care) * Employer Paid Life Insurance and AD&D Coverages * Health Savings account paired with our low-cost High Deductible Medical Plan * 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Product Manager III at Endava. Skills: Product strategy, Product discovery, Product delivery, User needs. Drive product outcomes. Execute strategy", "postedDate" : "2026-06-15T19:59:32.000", "createdAt" : "2026-06-15T23:50:46.442", "lastUpdated" : "2026-06-16T10:12:32.286", "ingestTimestamp" : "2026-06-15T23:50:46.442", "mongoId" : "6a306470f292fd229cfa1822", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Story mapping", "Roadmap planning", "Product analytics", "Product strategy", "Product discovery", "Product delivery", "User needs", "Business acumen", "Problem-solving", "Organization", "Relationship building", "Sprint activities", "Kidney care platform", "Health tech", "0-1 products", "Nephrology practices", "Electronic health care records", "Renal patient care" ], "skillCount" : 18, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 487.3727, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a30780cf292fd229c0291dc", "title" : "Product Manager III", "company" : "Endava", "industry" : "Information Technology And Services", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Product Manager III in the United States, adjusted for mid-seniority, remote work, and the healthcare industry." }, "location" : "Remote, United States", "locations" : [ "Remote", "United States" ], "timestamp" : "2026-06-16T10:48:05.632", "fingerprint" : "1016fc9f548fe6384bed861878941ab805482529b6e80806aa3ec1b7726fa328", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Endava/744000132277249-product-manager-iii", "externalId" : "744000132277249", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "professionalSkills" : [ "Business acumen", "Problem-solving", "Organization", "Relationship building" ], "hardSkillsList" : [ "Story mapping", "Roadmap planning", "Sprint planning", "User story creation", "Feature prioritization" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Story mapping", "level" : "intermediate" }, { "name" : "Roadmap planning", "level" : "intermediate" }, { "name" : "Sprint planning", "level" : "intermediate" }, { "name" : "User story creation", "level" : "intermediate" }, { "name" : "Feature prioritization", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Product strategy, Product roadmap, User stories, Cross-functional collaboration", "majorSkillsList" : [ "Product strategy", "Product roadmap", "User stories", "Cross-functional collaboration" ], "coreResponsibilities" : "Drive product outcomes, Execute strategy, Track outcomes, Build relationships, Collaborate with cross-functional teams, See problems through to solutions, Participate in product discovery, Participate in product delivery, Collaborate with business partners, Collaborate with users, Collaborate with designers, Collaborate with engineering, Perform story mapping exercises, Breakdown work for development, Identify cross-team dependencies, Prepare for Roadmap Planning, Participate in Roadmap Planning, Prepare for sprint activities, Participate in sprint activities, Partner with legal teams, Partner with compliance teams, Partner with security teams, Partner with risk teams, Guide creation of user-facing communication, Guide creation of user-facing education, Refine vision, Refine strategy, Execute discovery activities, Identify user needs, Identify user pain points, Create usable experiences, Validate experiences through feedback, Validate experiences through usability testing, Perform end user shadowing, Conduct interviews, Identify user problems, Understand business problems, Advance product, Identify OKRs, Track OKRs, Use data in problem statements, Use data in solution hypotheses, Leverage product analytics, Make informed decisions, Monitor product performance, Continuously improve product, Evaluate potential features, Prioritize potential features, Align features to objectives, Align features to key results", "teamCollaboration" : "Cross-functional teams; Business partners; Users; Designers; Engineering; Legal teams; Compliance teams; Security teams; Risk teams; UX team; Research teams; Clinic stakeholders; Operations stakeholders; Provider stakeholders; Business stakeholders; Senior business stakeholders", "projectManagementSkills" : [ "Roadmap planning", "Sprint activities" ], "domainKnowledge" : "Kidney care platform; Health tech; Nephrology practices; Electronic health care records; Renal patient care", "domainList" : [ "kidney-care-platform", "health-tech", "nephrology-practices", "electronic-health-care-records", "renal-patient-care" ], "domainSpecificKnowledge" : [ "Kidney care platform", "Health tech", "Nephrology practices", "Electronic health care records", "Renal patient care" ], "toolProficiency" : [ "JIRA" ], "communicationSkills" : "User-facing communication; User-facing education", "continuousLearning" : "Internal development programmes; Global career opportunities; Career coaching", "innovationCreativity" : "Prototype development", "problemSolvingSkills" : "Problem-solving; Data-driven decision making", "specialRequirements" : "Go onsite 3 days a month, Participation in internal meetings, Participation in external meetings, Work onsite, Remain stationary at desk, Work on computer, Bend, Kneel, Crouch, Reach overhead, Hand-eye coordination, Operate computers, Operate office equipment, Close vision, Toleration of fluorescent lighting, Adjusting focus, Lift 25 lbs, Valid driver's license, Acceptable driving record", "outcomesObjectives" : "Solve critical business problems; Achieve business objectives; Advance product for users; Advance product for stakeholders; Achieve OKR achievement", "qualificationsBasic" : "Bachelor's Degree, 4+ years product experience, 4+ years digital product experience, 4+ years product experience focused on digital products, 4+ years experience building health tech products, 4+ years experience building 0-1 products, 4+ years experience writing requirements for user stories, 4+ years experience writing requirements for software features, 4+ years experience creating complex spreadsheets, 4+ years experience creating complex presentations, 4+ years experience working in health care, 4+ years experience working towards delivery of web applications, 4+ years experience working towards delivery of mobile applications", "qualificationsPreferred" : "Experience building 0-1 products from inception to launch, Experience writing requirements for user stories, Experience writing requirements for software features, Experience creating complex spreadsheets, Experience creating complex presentations, Experience working in health care, Experience working towards delivery of web applications, Experience working towards delivery of mobile applications, Knowledge of nephrology practices, Experience using electronic health care records systems, Experience providing care for renal patients", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Technology is our how. And people are our why. For over two decades, we have been harnessing technology to drive meaningful change. By combining world-class engineering, industry expertise and a people-centric mindset, we consult and partner with leading brands from various industries to create dynamic platforms and intelligent digital experiences that drive innovation and transform businesses. From prototype to real-world impact - be part of a global shift by doing work that matters. *Location: Can be Remote in the US but prefer local to Denver, CO (If local will be required to go onsite 3 days a month) Our digital product team is critical to enabling our kidney care platform, and our product team is growing! We have an opportunity for a Product Manager to drive product outcomes which solve critical business problems. Your primary activities will include executing strategy and tracking outcomes for a critical clinical capability. We are looking for someone who is an expert relationship builder, has a bias towards action, can collaborate with cross-functional teams, and is obsessive about seeing problems through to solutions. Execution & Delivery: * Product Managers are involved in product discovery through product delivery * Collaborate with business partners, users, designers and engineering to ensure solutions are achieving business objectives * Perform story mapping exercises with your team to breakdown work for development * Identify cross-team dependencies impacting or impacted by your product lane * Prepare for and participate in Roadmap Planning and sprint activities * Partner closely with our legal, compliance, security, and risk teams to ensure that we are delivering a product that meets all legal and compliance requirements. * Guide the creation of user-facing communication & education related to features & capabilities. Discovery & Strategy: * Partner with product leadership to refine vision and strategy for your product area. * Partner with engineering and UX/research to execute discovery activities that bring to light user needs & pain points * When appropriate, collaborate with the UX team to create usable experiences which are validated through rapid feedback and usability testing iterations. * Perform end user shadowing/conduct interviews and collaborate with our clinic, operations, provider, business stakeholders, and our design and research teams to identify and understand user problems to solve. * Work to understand DaVita's identified business problems in order to advance our product in a way that works for our users and stakeholders Data-Driven Decision Making: Identify and track OKRs for outcome-based advancements of the product * Use data in formulating problem statements and solution hypotheses that are quantifiable * Leverage product analytics to make informed decisions, monitor product performance, and continuously improve the product toward OKR achievement * Evaluate and prioritize potential features for your product area, and align features to respective objectives and key results (OKRs) ## Qualifications * Bachelor's Degree * 4+ years of product experience, focused on digital products * Business acumen, an insatiable curiosity, and a desire to lead * Exceptional problem-solving, organization, communication skills * Inspire those around you to care about and understand the \"why\" behind a solution * Skilled in juggling multiple tasks, prioritizing them effectively, and delivering on tight deadlines. * An ability to thrive in an organization that changes quickly * Demonstrated ability to easily build expertise in unfamiliar domains * Strong relationship building skills and the ability to partner with technical, clinical, and senior business stakeholders to accomplish goals * Experience building health tech products and 0-1 products from inception to launch * Experience writing requirements for user stories or software features, creating complex spreadsheets or presentations, working in health care, or working towards the delivery of web or mobile applications * Industry experience can be an invaluable substitute for direct product management skills. Candidates that possess knowledge of nephrology practices, using electronic health care records systems, or providing care for renal patients will be strongly considered ## Additional Information Discover some of the global benefits that empower our people to become the best version of themselves: * Finance: Competitive salary package, share plan, company performance bonuses, value-based recognition awards, referral bonus; * Career Development: Career coaching, global career opportunities, non-linear career paths, internal development programmes for management and technical leadership; * Learning Opportunities: Complex projects, rotations, internal tech communities, training, certifications, coaching, online learning platforms subscriptions, pass-it-on sessions, workshops, conferences; * Work-Life Balance: Hybrid work and flexible working hours, employee assistance programme; * Health: Global internal wellbeing programme, access to wellbeing apps; * Community: Global internal tech communities, hobby clubs and interest groups, inclusion and diversity programmes, events and celebrations. Additional Employee Requirements * Participation in both internal meetings and external meetings via video calls, as necessary. * Ability to go into corporate or client offices to work onsite, as necessary. * Prolonged periods of remaining stationary at a desk and working on a computer, as necessary. * Ability to bend, kneel, crouch, and reach overhead, as necessary. * Hand-eye coordination necessary to operate computers and various pieces of office equipment, as necessary. * Vision abilities including close vision, toleration of fluorescent lighting, and adjusting focus, as necessary. * For positions that require business travel and/or event attendance, ability to lift 25 lbs, as necessary. * For positions that require business travel and/or event attendance, a valid driver’s license and acceptable driving record are required, as driving is an essential job function. *If requested, reasonable accommodations will be made to enable employees requiring accommodations to perform the essential functions of their jobs, absent undue hardship. USA Benefits (Full time roles only, does not apply to contractor positions) * Robust healthcare and benefits including Medical, Dental, vision, Disability coverage, and various other benefit options * Flexible Spending Accounts (Medical, Transit, and Dependent Care) * Employer Paid Life Insurance and AD&D Coverages * Health Savings account paired with our low-cost High Deductible Medical Plan * 401(k) Safe Harbor Retirement plan with employer match with immediately vest At Endava, we’re committed to creating an open, inclusive, and respectful environment where everyone feels safe, valued, and empowered to be their best. We welcome applications from people of all backgrounds, experiences, and perspectives—because we know that inclusive teams help us deliver smarter, more innovative solutions for our customers. Hiring decisions are based on merit, skills, qualifications, and potential. If you need adjustments or support during the recruitment process, please let us know.", "summaryDescription" : "Product Manager III at Endava. Skills: Product strategy, Product roadmap, User stories, Cross-functional collaboration. Drive product outcomes. Execute strategy", "postedDate" : "2026-06-15T19:59:32.000", "createdAt" : "2026-06-16T01:35:35.946", "lastUpdated" : "2026-06-16T10:48:05.632", "ingestTimestamp" : "2026-06-16T01:35:35.946", "mongoId" : "6a30780cf292fd229c0291dc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Story mapping", "Roadmap planning", "Sprint planning", "User story creation", "Feature prioritization", "Leadership", "Product strategy", "Product roadmap", "User stories", "Cross-functional collaboration", "Business acumen", "Problem-solving", "Organization", "Relationship building", "Sprint activities", "Kidney care platform", "Health tech", "Nephrology practices", "Electronic health care records", "Renal patient care", "JIRA" ], "skillCount" : 21, "jobCategory" : "product", "jobSubcategory" : "product_management", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "_score" : 486.74738, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "id" : "6a210e7b74d8ee00a0af7c69", "title" : "Technical Program Manager III, Infrastructure Capacity Planning, Cloud Networking", "industry" : "Technology", "salary" : { "min" : 155000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Technical Program Manager III in the Technology industry in Reston, VA, adjusted for company size and remote work." }, "location" : "[Reston, VA, USA, [Reston, VA, USA], Reston, null, VA, US]", "locations" : [ "[Reston, VA, USA, [Reston, VA, USA], Reston, null, VA, US]", "[Addison, TX, USA, [Addison, TX, USA], Addison, null, TX, US]", "[Thornton, CO, USA, [Thornton, CO, USA], Thornton, null, CO, US]" ], "timestamp" : "2026-06-16T14:33:43.612", "fingerprint" : "70057d02484474c154489805b73ed070c21514735ade53690b96b24e5e2b400a", "source" : "google", "language" : "en", "externalId" : "143332756758110918", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Reston", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "remote", "geo" : "38.9532820,-77.3464516" } ], "locationText" : "Reston, Virginia, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "domainKnowledge" : "Cloud Networking; Infrastructure Capacity Planning", "domainList" : [ "cloud-networking", "infrastructure-capacity-planning" ], "domainSpecificKnowledge" : [ "Cloud Networking", "Infrastructure Capacity Planning" ], "remoteFriendly" : true, "summaryDescription" : "Technical Program Manager III, Infrastructure Capacity Planning, Cloud Networking", "postedDate" : "2026-06-16T01:51:24.112", "createdAt" : "2026-06-16T01:51:24.112", "lastUpdated" : "2026-06-16T14:33:43.612", "ingestTimestamp" : "2026-06-16T01:51:24.112", "mongoId" : "6a210e7b74d8ee00a0af7c69", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Cloud Networking", "Infrastructure Capacity Planning" ], "skillCount" : 2, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "_score" : 483.53854, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104432beec4dd3def292d", "title" : "Business Analyst III", "company" : "Amazon Advertising LLC", "industry" : "Corporate Operations, Planning/Development, no business category", "salary" : { "min" : 121526.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Seattle, Washington, USA", "locations" : [ "Seattle, Washington, USA" ], "timestamp" : "2026-06-15T01:39:28.440", "fingerprint" : "d6bbad3e2e3a17de15bd6761503cbaab978cc2d404c8bf4c966520953f705b48", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10383529/apply", "externalId" : "29032a8f-5052-4113-9be7-f6f588dfd979", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's degree", "experienceMinYears" : 1, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, ETL, Oracle, R, SAS, STATA, SPSS, Kibana, OBIEE, SageMaker, Prophet, SARIMA, RedShift, QuickSight", "professionalSkills" : [ "Business intelligence", "Data mining", "Big data analysis", "Mathematical modeling", "Forecast analysis", "Metrics reporting", "Automated reporting", "Campaign targeting", "Campaign optimization", "Data-driven solutions", "Statistical analysis", "Model development", "Model validation", "Model implementation" ], "hardSkillsList" : [ "Statistical analysis", "Mathematical modeling", "Data mining", "Big data analysis", "Business intelligence", "Automated reporting" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Mathematical modeling", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Big data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Automated reporting", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Statistical modeling, Business intelligence", "majorSkillsList" : [ "Data analysis", "Statistical modeling", "Business intelligence" ], "coreResponsibilities" : "Manage metrics reporting, Perform data mining, Perform big data analysis, Provide strategic advice on business forecast models, Collect business use cases, Research opportunities to help Amazon leverage its data, Evaluate opportunities to help Amazon leverage its data, Support business functions through complicated mathematical modeling, Analyze forecast data, Analyze metrics data, Automate reports for promotional campaigns, Automate reports for project launch campaigns, Utilize database technologies to design business intelligence tools, Utilize database technologies to develop business intelligence tools, Utilize database technologies to evaluate business intelligence tools, Design automated reports for campaign targeting, Develop automated reports for campaign targeting, Evaluate automated reports for campaign targeting, Design automated reports for campaign optimization, Develop automated reports for campaign optimization, Evaluate automated reports for campaign optimization, Transform complicated business problems into mathematics modeling, Provide data-driven solutions, Perform statistical analysis, Establish scalable processes for large scale data analyses, Establish efficient processes for large scale data analyses, Establish automated processes for large scale data analyses, Establish scalable processes for model development, Establish efficient processes for model development, Establish automated processes for model development, Establish scalable processes for model validation, Establish efficient processes for model validation, Establish automated processes for model validation, Establish scalable processes for model implementation, Establish efficient processes for model implementation, Establish automated processes for model implementation", "domainKnowledge" : "Business forecast models; Data leverage; Mathematical modeling; Clustering; Cross-session regression; Panel data regression; Long term forecasting", "domainList" : [ "business-forecast-models", "data-leverage", "mathematical-modeling", "clustering", "cross-session-regression", "panel-data-regression", "long-term-forecasting" ], "domainSpecificKnowledge" : [ "Business forecast models", "Data leverage", "Mathematical modeling", "Clustering", "Cross-session regression", "Panel data regression", "Long term forecasting" ], "toolProficiency" : [ "SQL", "ETL", "Oracle", "R", "SAS", "STATA", "SPSS", "Kibana", "OBIEE", "SageMaker", "RedShift", "QuickSight" ], "innovationCreativity" : "Highly innovative business intelligence tools", "problemSolvingSkills" : "Transform complicated business problems into mathematics modeling; Provide data-driven solutions", "qualificationsBasic" : "Master's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience, Bachelor's degree or foreign equivalent in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience, one year of experience in using database technologies, including SQL, ETL, one year of experience in processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction, one year of experience in performing statistical analysis including long term forecasting of associate handled contacts using SageMaker to run Prophet and SARIMA, one year of experience in developing automated reporting using Advanced Excel by carrying out hyper-parameter tuning and developing final, one year of experience in maintaining data integrity to assure input/output accuracy in various RedShift databases and QuickSight datasets", "qualificationsPreferred" : "PhD preferred, specific ML framework experience, cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "MULTIPLE POSITIONS AVAILABLE Employer: AMAZON ADVERTISING LLC Offered Position: Business Analyst III Job Location: Seattle, Washington Job Number: AMZ9686403 Position Responsibilities: Support senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models. Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. 40 hours / week, 8:00am-5:00pm, Salary Range $121,526/year to $160,000/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) using database technologies, including SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; (3) performing statistical analysis including long term forecasting of associate handled contacts using SageMaker to run Prophet and SARIMA models; (4) developing automated reporting using Advanced Excel by carrying out hyper-parameter tuning and developing final forecasts; and (5) maintaining data integrity to assure input/output accuracy in various RedShift databases and QuickSight datasets.#0000 Preferred Qualifications: Please see job description and the position requirements above. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Analyst III at Amazon Advertising LLC. Skills: Data analysis, Statistical modeling, Business intelligence. Manage metrics reporting. Perform data mining", "postedDate" : "2026-06-13T04:08:38.580", "createdAt" : "2026-06-13T04:08:38.580", "lastUpdated" : "2026-06-15T01:39:28.440", "ingestTimestamp" : "2026-06-13T04:08:38.580", "mongoId" : "69e104432beec4dd3def292d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10383529/apply", "salaryAnnualMin" : 121526, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Mathematical modeling", "Data mining", "Big data analysis", "Business intelligence", "Automated reporting", "Data analysis", "Statistical modeling", "Forecast analysis", "Metrics reporting", "Campaign targeting", "Campaign optimization", "Data-driven solutions", "Model development", "Model validation", "Model implementation", "Business forecast models", "Data leverage", "Clustering", "Cross-session regression", "Panel data regression", "Long term forecasting", "SQL", "ETL", "Oracle", "R", "SAS", "STATA", "SPSS", "Kibana", "OBIEE", "SageMaker", "RedShift", "QuickSight" ], "skillCount" : 34, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 481.1926, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3050c6f292fd229cef5219", "title" : "Facilities Manager III", "company" : "Entrata", "industry" : "People", "salary" : { "min" : 80800.0, "max" : 126500.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "Lehi, Utah", "locations" : [ "Lehi, Utah" ], "timestamp" : "2026-06-16T13:21:21.310", "fingerprint" : "f661cafebfe95e9293f25fb459ac82bac263f2466c27fb4fdbd0a70b58ba75fe", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/entrata/c9e0975a-368e-4f8f-b450-fdf856f80993/apply", "externalId" : "c9e0975a-368e-4f8f-b450-fdf856f80993", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lehi", "state" : "Utah", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.3881114,-111.8486019" } ], "locationText" : "Lehi, Utah, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "## Description Since 2003, Entrata has evolved from a visionary, student-led startup into a global leader in AI-driven property management technology. Today, we power the industry's most essential operating system, serving owners and residents worldwide through a comprehensive suite of intelligent leasing, payment, and communication tools powered by cutting-edge AI. With a proven track record of sustained growth and a global team of more than 2,200 employees, we offer the rare combination of established stability and high-velocity innovation. Recognized by the Silicon Slopes Hall of Fame and the Utah Business Fast 50, Entrata fosters a culture of radical transparency and entrepreneurial energy. At Entrata, we create an environment where different perspectives are valued and respected. Those perspectives challenge assumptions, strengthen our decisions, and raise the bar as we reshape the global living experience through AI-powered solutions. The Facilities Manager III oversees day-to-day office operations and strategic workplace initiatives to ensure a safe, efficient, and world-class employee experience across corporate and regional locations. This role bridges the gap between high-level project execution and seamless daily operations by independently assessing complex facilities issues and determining effective courses of action. By proactively managing budgets and space utilization, the Facilities Manager III aligns physical workplace environments with company goals and headcount growth. ## Responsibilities Proactively manage and maintain smooth day-to-day office operations at HQ, Logan, and Dallas locations, ensuring problems are identified and resolved before they impact staff. Strategically manage and continuously audit space utilization across HQ and regional offices to maximize footprint efficiency and align real estate planning with headcount growth. Proactively manage facility OPEX and capital budgets to identify areas of optimization and enhance the employee experience. Serve as the primary point of contact for facilities-related inquiries, comfortably collaborating and communicating with all levels of personnel, including executive leadership. Familiarity with physical security controls, audit processes, and documentation standards Maintain accurate asset inventories and lifecycle plans to support proactive repairs and capital planning Lead sustainability efforts, including energy efficiency, waste reduction, and environmentally responsible workplace practices Develop and maintain business continuity and disaster recovery plans for all office locations Conduct regular risk assessments and drills to ensure preparedness Use data and reporting to drive decision-making on space planning, vendor performance, and cost optimization Experience supporting SOC 2, ISO 27001, insurance requirements, or similar compliance frameworks preferred Lead complex facilities projects from conception to completion, including office openings, office footprints decommissioning/closures, and major structural or aesthetic construction upgrades. Manage the implementation, deployment, and ongoing vendor relationships for workplace technologies (e.g., modern access control and visitor management systems). Coordinate with external contractors, architects, landlords, and internal stakeholders to ensure projects are delivered on time, within scope, and on budget. Oversee and strictly enforce building safety protocols, emergency preparedness plans, and local legal/regulatory compliance requirements across all three jurisdictions. ## Essential Functions Ensure building safety protocols and emergency preparedness plans are strictly enforced and compliant with local regulations. Maintain a clean, functional, and welcoming physical environment through diligent oversight of janitorial and maintenance services. Resolve moderately complex facilities problems by adapting existing approaches and devising new solutions based on limited precedent. Facilitate cross-functional collaboration and clear communication about facility updates across all levels of personnel. Travel domestically for physical building projects as required to maintain business relationships and achieve objectives. Ability to prioritize tasks effectively by meeting deadlines and managing workload efficiently. Maintain professional interaction with internal and external stakeholders. Ability to work in a fast-paced and high-stress environment. ## Minimum Qualifications Typically requires a minimum of 3-5 years of related experience with a Bachelor’s degree in Facilities Management, Corporate Real Estate, or a related field. Equivalent work experience that demonstrates full proficiency in professional facilities knowledge and the ability to lead portions of a project. Proficient knowledge of facilities management principles, practices, and industry standards. Strong ability to work independently and exercise sound judgment when evaluating courses of action for complex issues. Excellent persuasion and communication skills to effectively interface with diverse stakeholders and executive leadership. Demonstrated experience in project management and vendor relationship management. Ability to anticipate internal business challenges and recommend proactive process improvements. ## Physical Requirements The physical demands described here are representative of those that must be met by an employee to successfully perform the essential functions of this position. Reasonable accommodations may be made to enable individuals with disabilities to perform these essential functions. Operational & Manual Tasks: This position requires frequent physical activity, including lifting, carrying, pushing, or pulling equipment and materials weighing up to 50 pounds. The role involves standing for extended periods, bending, crouching, kneeling, and reaching overhead to perform maintenance, cleaning, or installation tasks (e.g., patching, painting, hanging fixtures/TVs, and managing storage or garage areas). Office Environment: While a portion of the work is performed in an office environment requiring the use of standard office equipment (computers, phones, keyboards) and involves sedentary tasks, the candidate must be able to transition seamlessly to the physical facility environment. Visual & Dexterity: Requires close visual acuity for data analysis and reporting, as well as the manual dexterity required to safely operate tools and maintenance equipment. Travel: Periodic travel is required to support multiple locations. This involves prolonged standing, walking through client sites, and the ability to transport business materials between sites. ## AI and Operational Fluency AI Integration: Utilize company-approved GenAI tools to accelerate high-value deliverables. Strategic Oversight: Exercise critical judgment as the \"Human-in-the-Loop,\" by auditing AI outputs for factual accuracy, brand alignment, and the removal of hallucinations. Data Governance: Ensures no proprietary or Personally Identifiable Information (PII) data is exposed to unauthorized models. Prompt Competency: Demonstrates the ability to craft clear, context-rich prompts to achieve consistent, high-quality results across various business domains. ## Additional Information Benefits: Flexible and transparent culture with remote and hybrid work options, generous vacation time, and frequent company recharge days for work-life balance. Comprehensive medical, dental, and vision coverage, including fertility benefits, available for eligible employees and their families. HSA/FSA options and employer-paid disability benefits provided for eligible employees. Access to 401(k) or similar retirement plans with employer matching for eligible employees, ensuring long-term financial security. Wellness initiatives promoting physical and mental well-being, access to an onsite gym at HQ, gym memberships, mental health resources, wellness challenges, and employee assistance programs. Entrata Cares programs offers opportunities for volunteerism, charity events, and giving back to our community. Exclusive Previ cell phone plan and discounts on services or local business partnerships for additional employee benefits. Bi-annual swag drops for employees Currently, Entrata hires in Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, Florida, Georgia, South Carolina, Ohio, Pennsylvania, and Illinois for Exempt roles and Arizona, Idaho, Utah, Wyoming, Texas, North Carolina, and Florida for Non-Exempt roles. Entrata is dedicated to creating a workplace where a diverse and inclusive team thrives in an environment free from discrimination. We provide equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity, protected veteran status, or any other applicable characteristics protected by law. It’s a great place to work! Will you join us?", "summaryDescription" : "Facilities Manager III at Entrata", "postedDate" : "2026-06-15T16:37:44.001", "createdAt" : "2026-06-15T16:37:44.001", "lastUpdated" : "2026-06-16T13:21:21.310", "ingestTimestamp" : "2026-06-16T03:20:13.988", "mongoId" : "6a3050c6f292fd229cef5219", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 80800, "salaryAnnualMax" : 126500, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 480.46136, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30679ef292fd229cfbfb4d", "title" : "Engineering Manager - Revenue Intelligence", "company" : "Cloudbeds", "industry" : "SaaS", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager level Engineering role in Bulgaria, adjusted for the tech industry and remote work." }, "location" : "United Kingdom", "locations" : [ "United Kingdom" ], "timestamp" : "2026-06-16T08:22:21.588", "fingerprint" : "af18050682a1ffae7b471c85c84378a831fc1c3d5beafd63d4157da8a0b68edd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/cloudbedsthirdpartyboard/jobs/4706005005", "externalId" : "4706005005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "What Makes Us Unique At Cloudbeds, we're not just building software, we’re transforming hospitality. Our intelligently designed platform powers properties across 150 countries, processing billions in bookings annually. From independent properties to hotel groups, we help hoteliers transform operations and uplevel their commercial strategy through a unified platform that integrates with hundreds of partners. And we do it with a completely remote team. Imagine working alongside global innovators to build AI-powered solutions that solve hoteliers' biggest challenges. Since our founding in 2012, we've become the World's Best Hotel PMS Solutions Provider and landed on Deloitte's Technology Fast 500 again in 2024 – but we're just getting started. Location: Remote How You'll Make an Impact: Cloudbeds is looking for a passionate and experienced Engineering Manager to join our Revenue Intelligence team. This role is crucial for our success, and we will need a top-notch Engineering Manager with an extensive background in developing large-scale systems. Cloudbeds is looking for someone who can lead, manage, coach, and mentor software developers towards delivering timely, high-quality software together with them. Our Revenue Intelligence Team: The Revenue Intelligence team sits at the heart of our Cloudbeds Signals AI platform, connecting hospitality data, pricing science, and hotel operations into a coherent whole. The team blends deep analytical curiosity with genuine empathy for the day‑to‑day realities of revenue managers and hoteliers. This team is dedicated to building and scaling our revenue marketing platform to meet our global customers' diverse needs, unrivaled in the sector. This is an opportunity to work with a company completely transforming the world of travel technology. You will be an essential member of the team as we march toward our goal of powering every lodging business in the world. What You Bring to the Team: Manage a high-performing, agile software team in a rapidly growing, global organization. Be a hands-on manager and be able to contribute to the codebase. Actively participate in coding and development tasks, contributing your expertise and technical skills to ensure the successful implementation of software solutions. Lead by example and be a role model for the team. Conduct regular code reviews to ensure adherence to coding standards, best practices, and maintainable code. Work closely with the team to identify and address technical challenges and ensure high-quality deliverables. Foster a collaborative and inclusive team environment. Promote effective communication, knowledge sharing, and cross-team collaboration to facilitate the successful execution of projects. Set performance expectations and conduct regular performance evaluations for team members. Provide feedback, coaching, and mentorship to support their growth and development. Identify opportunities for process optimization, automation, and efficiency improvements within the software development lifecycle. Implement best practices and establish scalable processes to enhance team productivity. What Sets You Up for Success: 7+ years of backend development experience (e. g. C# or Java) 2 + years of experience managing remote, international backend engineers 1+ years of experience driving AI Coding strategies A passion for delivering value to customers via agile software development. Excellent knowledge of SaaS software technologies, best practices, and design patterns Excellent project management and organizational skills Excellent time management, prioritization, and decision-making skills driving high-impact, rapid, and iterative change in a fast-moving environment Excellent communication, documentation, and presentation skills Experience with coaching and mentorship to elevate team performance Experience with ML Systems, Architectures, and Techniques BS or MS in computer science or a related technical field Bonus Skills to Stand Out: Understanding of SOLID principles and software design patterns Strong Python experience Strong Experience with Postgres or other relational databases Observability and Monitoring experience Experience with Docker, Terraform Experience with AWS Strong Claude Code understanding #LI-IK1 What to Expect - Your Journey with Us Behind Cloudbeds' revolutionary technology is a team of redefining what's possible in hospitality. We're 650+ employees across 40+ countries, bringing together elite engineers, AI architects, world-class designers, and hospitality veterans to solve challenges others haven't dared to tackle. Our diverse team speaks 30+ languages, but we all share one language: a passion for innovation and travel. From pioneering breakthroughs in machine learning to revolutionizing how hotels operate, we're not just watching the future of hospitality unfold – we're coding it, designing it, writing it and shipping it. If you're ready to work alongside some of the brightest minds in tech who are obsessed with using AI to transform a trillion-dollar industry, this is your chance to be part of something extraordinary. Learn more online at cloudbeds.com Company Awards to Check Out! Best All-In-One Hotel Management System | HotelTechAwards (2025) Overall 10 Best Places to Work | HotelTechAwards (2025) Most Loved Workplace® Certified (2024) Top 10 People’s Choice(2024) Deloitte Technology Fast 500 (2024) Discover our Benefits: Remote First, Remote Always PTO in accordance with local labor requirements Monthly Wellness Fridays - enjoy an extra long weekend every month Full Paid Parental Leave Home office stipend based on country of residency Professional development courses in Cloudbeds University Access to professional development, including manager training, upskilling and knowledge transfer. Everyone is Welcome - A Culture of Inclusion Cloudbeds is proud to be an Equal Opportunity Employer that celebrates the diversity in our global team! We do not discriminate based upon race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. Cloudbeds is committed to the full inclusion of all qualified individuals. As part of this commitment, Cloudbeds will ensure that persons with disabilities are provided reasonable accommodations in the hiring process. We encourage deaf, hard of hearing, deaf-blind, and deaf-disabled individuals to apply. If reasonable accommodation is needed to participate in the job application or interview process or to perform essential job functions, please contact our HR team by phone at (858) 201-7832 or via email at accommodations@cloudbeds.com. Cloudbeds will provide an American Sign Language (ASL) interpreter where needed as a reasonable accommodation for the hiring processes. To all Staffing and Recruiting Agencies: Our Careers Site is only for individuals seeking a job at Cloudbeds. Staffing, recruiting agencies, and individuals being represented by an agency are not authorized to use this site or to submit applications, and any such submissions will be considered unsolicited. Cloudbeds does not accept unsolicited resumes or applications from agencies. Please do not forward resumes to our jobs alias, Cloudbeds employees, or any other company location. Cloudbeds is not responsible for any fees related to unsolicited resumes/applications. #LI-REMOTE", "summaryDescription" : "Engineering Manager - Revenue Intelligence at Cloudbeds", "postedDate" : "2026-06-15T23:28:29.320", "createdAt" : "2026-06-15T23:28:29.320", "lastUpdated" : "2026-06-16T08:22:21.588", "ingestTimestamp" : "2026-06-15T23:28:29.320", "mongoId" : "6a30679ef292fd229cfbfb4d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "_score" : 480.16324, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Hospitality", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e430f8b1b0376634c798", "title" : "Business Intelligence Engineer", "company" : "Amazon Japan G. K.", "industry" : "Business Intelligence, Business Intel Engineer, Logistics", "salary" : { "min" : 1.2E7, "max" : 1.8E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Business Intelligence Engineer in Tokyo, Japan, adjusted for Amazon's company size and the logistics industry." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T03:42:43.339", "fingerprint" : "2202ab11c29800ab58e5dca303ff53036145d1828184f45dacd026862b8e3a6a", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3074053/apply", "externalId" : "b7b566cd-10b5-4ed5-a88d-3bbd9b3a176f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Redshift, Oracle, NoSQL, SQL, Python, Tableau, Quicksight, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Data visualization", "Statistical analysis" ], "hardSkillsList" : [ "Data analysis", "Data interpretation", "SQL querying", "Data processing", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Data Analysis", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Data Analysis" ], "coreResponsibilities" : "Design data pipelines, Implement data pipelines, Design reports, Implement reports, Design dashboards, Implement dashboards, Deliver metrics, Deliver insights, Build automated reporting solutions, Maintain automated reporting solutions, Ensure data quality, Ensure data reliability, Partner with stakeholders, Understand business requirements, Translate requirements into technical specifications, Develop documentation, Maintain documentation, Create SQL queries, Optimize SQL queries, Create scripts, Optimize scripts, Collaborate with data engineering teams, Improve data infrastructure, Improve visualization platforms, Participate in business reviews, Build sustainable data solutions, Create insightful dashboards, Ensure data quality across systems, Translate business requirements into technical solutions, Leverage technical expertise, Deliver effective solutions", "teamCollaboration" : "Partner with stakeholders; Collaborate with data engineering teams; Collaborate with strategy & ops teams", "domainKnowledge" : "Heavy & Bulky logistics; Supply chain logistics", "domainList" : [ "heavy-bulky-logistics", "supply-chain-logistics" ], "domainSpecificKnowledge" : [ "Heavy & Bulky logistics", "Supply chain logistics" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL" ], "documentationSkills" : "Develop documentation; Maintain documentation", "continuousLearning" : "Enhance skills", "problemSolvingSkills" : "Analytical challenges", "specialRequirements" : "Business trips within and outside Japan", "outcomesObjectives" : "Deliver metrics and insights that drive business decisions; Create and improve indicators and dashboards", "qualificationsBasic" : "Bachelor's degree in sciences, engineering, finance or equivalent, 5+ years of analyzing and interpreting data, Redshift, Oracle, NoSQL etc. experience, Data modeling, warehousing and building ETL pipelines experience, Data visualization using Tableau, Quicksight, or similar tools experience, SQL to pull data from a database or data warehouse experience, Scripting experience (Python) to process data for modeling", "qualificationsPreferred" : "Forecasting and statistical analysis experience, AWS solutions such as EC2, DynamoDB, S3, and Redshift experience, Developing and presenting recommendations of new metrics allowing better understanding of the performance of the business experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about transforming complex business challenges into data-driven solutions? AMXL Japan is looking for a Business Intelligence Engineer to build and maintain data pipelines, reports, and dashboards necessary for business operations. Join us in shaping the future of Heavy & Bulky logistics while delivering impactful insights through data analysis. At Amazon, we're working to be the most customer-centric company on earth. We operate one of the largest e-commerce businesses in Japan. Our supply chain logistics is becoming more complex every day under continuous growth of Amazon Japan. We are looking for a Business Intelligence Engineer to create and improve indicators and dashboards related to transportation, stable operation and efficiency of operations using AWS and Amazon internal tools. Key job responsibilities - Design and implement data pipelines, reports, and dashboards to deliver metrics and insights that drive business decisions - Build and maintain automated reporting solutions while ensuring data quality and reliability - Partner with stakeholders to understand business requirements and translate them into technical specifications - Develop and maintain documentation for data processes, metrics definitions, and analytical solutions - Create and optimize SQL queries and scripts for data extraction and transformation - Collaborate with data engineering teams to improve data infrastructure and visualization platforms A day in the life You begin your day participating in business reviews to stay aligned with critical network metrics and performance indicators. You collaborate with strategy & ops teams to understand key analytics challenges and build sustainable data solutions. You develop and maintain data pipelines, create insightful dashboards, and ensure data quality across systems. Working closely with stakeholders, you translate business requirements into technical solutions. You take business trips within and outside Japan as needed to enhance your skills and validate solutions. When analytical challenges emerge, you leverage your technical expertise to deliver effective solutions. About the team AMXL JP team is a single threaded organization that owns Amazon's end-to-end Heavy & Bulky (H&B) logistics network with our willing and equally customer obsessed partners, offering shipping, service & support for consumers and companies in a safe, reliable, seamless, standardized, and sustainable way that surprises and delights our customers. Our delivery partners are experienced in H&B deliveries, providing special handling services such as Room of Choice Delivery, Installation/Assembly and Recycling/Haul-Away. Basic Qualifications: - Bachelor's degree in sciences, engineering, finance or equivalent - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with forecasting and statistical analysis - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer at Amazon Japan G. K.. Skills: Business Intelligence, Data Engineering, Data Analysis. Design data pipelines. Implement data pipelines", "postedDate" : "2026-06-13T19:14:28.758", "createdAt" : "2026-06-13T19:14:28.758", "lastUpdated" : "2026-06-15T03:42:43.339", "ingestTimestamp" : "2026-06-13T19:14:28.758", "mongoId" : "68c2e430f8b1b0376634c798", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3074053/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data interpretation", "SQL querying", "Data processing", "Data visualization", "Business Intelligence", "Data Engineering", "Data Analysis", "Data modeling", "Data warehousing", "ETL pipelines", "Statistical analysis", "Heavy & Bulky logistics", "Supply chain logistics", "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "_score" : 479.96396, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "69e104432beec4dd3def293f", "title" : "Business Analyst III", "company" : "Amazon Web Services, Inc.", "industry" : "Corporate Operations, Planning/Development, no business category", "salary" : { "min" : 146772.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Mountain View, California, USA", "locations" : [ "Mountain View, California, USA" ], "timestamp" : "2026-06-15T02:27:53.250", "fingerprint" : "556f406753674d000b35f9c36654999db7f96d81fea85337419a74fd4aa0cc91", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382830/apply", "externalId" : "8819f1ef-85c8-46c5-b15e-ac19f6cb7726", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Mountain View", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.3893889,-122.0832101" } ], "locationText" : "Mountain View, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's degree", "experienceMinYears" : 1, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, ETL, Oracle, R, SAS, STATA, SPSS, Kibana, OBIEE, Datanet, MS Excel, Erlang", "professionalSkills" : [ "Data mining", "Big data analysis", "Business forecast models", "Mathematical modeling", "Data-driven solutions", "Model development", "Model validation", "Model implementation" ], "hardSkillsList" : [ "Statistical analysis", "Clustering", "Regression", "Panel data regression" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Panel data regression", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Mathematical modeling", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Mathematical modeling" ], "coreResponsibilities" : "Manage metrics reporting, Perform data mining, Perform big data analysis, Provide strategic advice, Collect business use cases, Research opportunities, Evaluate opportunities, Analyze forecast data, Analyze metrics data, Automate reports, Design business intelligence tools, Develop business intelligence tools, Evaluate business intelligence tools, Transform business problems, Provide data-driven solutions, Perform statistical analysis, Establish automated processes, Develop models, Validate models, Implement models", "domainKnowledge" : "Business intelligence; Data analysis", "domainList" : [ "business-intelligence", "data-analysis" ], "domainSpecificKnowledge" : [ "Business intelligence", "Data analysis" ], "toolProficiency" : [ "MS Excel", "Macros" ], "innovationCreativity" : "Innovative business intelligence tools", "problemSolvingSkills" : "Transform complicated business problems; Provide data-driven solutions", "qualificationsBasic" : "Master's degree or foreign equivalent, 1 year experience in job offered or related, Database technologies including SQL, ETL, Processing large, multi-dimensional datasets, Developing automated reporting using advanced MS Excel skills, Macros knowledge, Erlang knowledge", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "MULTIPLE POSITIONS AVAILABLE Employer: AMAZON WEB SERVICES, INC. Offered Position: Business Analyst III Job Location: Mountain View, California Job Number: AMZ9488250 Position Responsibilities: Support senior management by managing metrics reporting and performing data mining and big data analysis to provide strategic advice on business forecast models. Collect business use cases, research and evaluate opportunities to help Amazon leverage its data to support business functions through complicated mathematical modeling. Analyze forecast and metrics data. Automate reports for promotional and project launch campaigns. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. 40 hours / week, 8:00am-5:00pm, Salary Range $146,772/year to $185,000/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered or as a Business Analyst, Business Intelligence Engineer, Data Engineer, Data Miner or a related occupation. Employer will accept a Bachelor's degree or foreign equivalent degree in Business Administration, Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) using database technologies, including SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources including Kibana, OBIEE, Datanet or equivalent data extraction tool; and (3) developing automated reporting using advanced MS Excel skills including macros and erlang knowledge.#0000 Preferred Qualifications: Please see job description and the position requirements above. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Analyst III at Amazon Web Services, Inc.. Skills: Data analysis, Business intelligence, Mathematical modeling. Manage metrics reporting. Perform data mining", "postedDate" : "2026-06-13T04:16:41.617", "createdAt" : "2026-06-13T04:16:41.617", "lastUpdated" : "2026-06-15T02:27:53.250", "ingestTimestamp" : "2026-06-13T04:16:41.617", "mongoId" : "69e104432beec4dd3def293f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382830/apply", "salaryAnnualMin" : 146772, "salaryAnnualMax" : 185000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Statistical analysis", "Clustering", "Regression", "Panel data regression", "Data analysis", "Business intelligence", "Mathematical modeling", "Data mining", "Big data analysis", "Business forecast models", "Data-driven solutions", "Model development", "Model validation", "Model implementation", "MS Excel", "Macros" ], "skillCount" : 16, "jobCategory" : "operations", "dataQualityScore" : 1.0, "_score" : 479.92014, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "69d5e4962beec4dd3d9319a9", "title" : "Business Intelligence Engineer", "company" : "Amazon EU SARL", "industry" : "Business Intelligence, Business Intel Engineer, operations", "salary" : { "min" : 55000.0, "max" : 80000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Business Intelligence Engineer in Barcelona, Spain, adjusted for the e-commerce industry and company size." }, "location" : "Barcelona, Catalonia, ESP", "locations" : [ "Barcelona, Catalonia, ESP" ], "timestamp" : "2026-06-15T05:43:42.539", "fingerprint" : "6af698673a29ec301d4bf3a78dd9f68bcf491644a92c8080471c7c7c7d7fc364", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10384958/apply", "externalId" : "63dcf9e1-8557-4e50-9235-58cc9cb1f66c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "state" : "Catalonia", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Catalonia, Spain", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Redshift, Python, AWS, ETL, JavaScript", "professionalSkills" : [ "Tool development", "Network operations", "Flow management" ], "hardSkillsList" : [ "Metrics", "Data models", "Queries", "Cloud environments", "Dashboarding", "T-test", "Chi-squared" ], "hardSkills" : [ { "name" : "Metrics", "level" : "intermediate" }, { "name" : "Data models", "level" : "intermediate" }, { "name" : "Queries", "level" : "intermediate" }, { "name" : "Cloud environments", "level" : "intermediate" }, { "name" : "Dashboarding", "level" : "intermediate" }, { "name" : "T-test", "level" : "intermediate" }, { "name" : "Chi-squared", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Analytics", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Analytics" ], "coreResponsibilities" : "Manage intake, Coordinate requirements, Gather requirements, Develop analytics dashboards, Develop deep-dive tools, Optimize end-to-end network flows, Prioritize initiatives, Design technical solutions, Implement technical solutions, Enable real-time network monitoring, Enable decision-making, Drive best practices, Support capacity management, Support risk mitigation, Support automation initiatives, Build ETL pipelines, Refine dashboards, Automate manual processes, Influence tech roadmap, Propose automation initiatives, Shape data usage", "teamCollaboration" : "Collaborating with operations teams; Partnering with operations; Stakeholder meetings; Present findings to managers; Collaborate with data engineers", "projectManagementSkills" : [ "Roadmap planning" ], "domainKnowledge" : "Network operations; Fulfillment center flow management; Capacity management; Network capacity; Flow optimization; European network", "domainList" : [ "network-operations", "fulfillment-center-flow-management", "capacity-management", "network-capacity", "flow-optimization", "european-network" ], "domainSpecificKnowledge" : [ "Network operations", "Fulfillment center flow management", "Capacity management", "Network capacity", "Flow optimization", "European network" ], "toolProficiency" : [ "Tableau", "QuickSight", "MicroStrategy", "PowerBI", "Excel" ], "communicationSkills" : "Customer-focused", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical skills", "outcomesObjectives" : "Optimize network flows; Drive performance measurement; Drive innovation; Drive execution; Optimize end-to-end network flows; Enable real-time network monitoring; Enable decision-making; Support intraweek capacity management; Support risk mitigation; Support automation initiatives; Deliver network execution excellence", "qualificationsBasic" : "Experience building data artifacts, Experience with scripting language, Experience with analytics visualization tools, Experience with statistical methods, Experience with data visualization, SQL proficiency", "qualificationsPreferred" : "Experience analyzing data with Redshift, Experience with Oracle, Experience with NoSQL, Experience with statistical analysis, Experience with co-relation analysis, Python proficiency, JavaScript preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you interested in a high-impact role with exposure to senior leaders? The EU Network Flow and Technologies (NFT) team is seeking a customer-focused Business Intelligence Engineer with strong analytical and technical skills to drive performance measurement, innovation, and execution in network operations and fulfillment center flow management. Collaborating closely with Amazon Fulfillment Center Operations, Transportation Services, and data teams, you will be responsible for developing analytics dashboards, deep-dive tools, and influencing product roadmaps using data, AWS services, and insights to optimize end-to-end network flows. Key job responsibilities As a Business Intelligence Engineer, your responsibilities include: - Managing intake, coordinating, and gathering requirements from business partners to handle increased data volume and the demand for more cost-efficient and scalable pipelines and tech solutions that support network capacity management and flow optimization. - Prioritizing initiatives, designing and implementing technical solutions with appropriate strategies and design principles to enable real-time network monitoring and decision-making. - Driving best practices in Operational Excellence while supporting intraweek capacity management, risk mitigation, and automation initiatives across EU fulfillment centers. Ideal candidate: Strong in SQL, Redshift, metrics, ETL, tool development, cloud environments, and dashboarding. Python proficiency required; JavaScript preferred. Excels in translating customer needs into innovative BI solutions, passionate about leveraging data for informed decisions and network optimization. A day in the life You'll start by reviewing network flow metrics across EU fulfillment centers, identifying capacity risks needing immediate attention. Throughout the day, you'll partner with operations teams to translate pain points into technical solutions- building ETL pipelines, refining dashboards, and automating manual processes. Expect to move between SQL/Python coding sessions, stakeholder meetings, and data quality troubleshooting. You might present findings to operations managers one hour, then collaborate with data engineers on pipeline optimization the next. During peak periods, you'll respond to urgent requests while balancing long-term scalable solutions. Beyond core responsibilities, you'll influence the NFT tech roadmap, propose automation initiatives, and shape how the European network uses data for capacity decisions. About the team The EU Network Flow and Technologies (NFT) team optimizes end-to-end network operations across European fulfillment centers, partnering with operations to balance cost, service, and speed. We manage intraweek capacity, performance, and labor across all volume flows, driving tech solutions and automation as trusted partners to local teams. Our focus spans network flow management through real-time signals, BI analytics and dashboards for FC operations, risk management tools to identify performance and capacity defects, and continuous automation innovation. We embrace data-driven evolution, refusing the status quo to deliver network execution excellence through iterative improvements and scalable solutions. Basic Qualifications: - Experience building and maintaining basic data artifacts (e.g., ETL, data models, queries) - Experience with scripting language (e.g., Python, Java, or R) - Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) - Experience with data visualization using Tableau, Quicksight, or similar tools Preferred Qualifications: - Experience in analyzing and interpreting data with Redshift, Oracle, NoSQL etc. - Experience with statistical analysis, co-relation analysis Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer at Amazon EU SARL. Skills: Business Intelligence, Data Engineering, Analytics. Manage intake. Coordinate requirements", "postedDate" : "2026-06-13T18:49:21.341", "createdAt" : "2026-06-13T18:49:21.341", "lastUpdated" : "2026-06-15T05:43:42.539", "ingestTimestamp" : "2026-06-13T18:49:21.341", "mongoId" : "69d5e4962beec4dd3d9319a9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10384958/apply", "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Metrics", "Data models", "Queries", "Cloud environments", "Dashboarding", "T-test", "Chi-squared", "Business Intelligence", "Data Engineering", "Analytics", "Tool development", "Network operations", "Flow management", "Roadmap planning", "Fulfillment center flow management", "Capacity management", "Network capacity", "Flow optimization", "European network", "Tableau", "QuickSight", "MicroStrategy", "PowerBI", "Excel" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "_score" : 479.61026, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "69d5e4962beec4dd3d93196b", "title" : "Business Intelligence Engineer", "company" : "ADCI", "industry" : "Business Intelligence, Business Intel Engineer, selling partner services", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Business Intelligence Engineer in Bengaluru, India, adjusted for mid-seniority, e-commerce industry, and company size." }, "location" : "Bengaluru, Karnataka, IND", "locations" : [ "Bengaluru, Karnataka, IND" ], "timestamp" : "2026-06-15T03:36:59.040", "fingerprint" : "734e9a322c9d55937602f16688cb9058fdda4516cb7ff794a41894da4aa24268", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10385214/apply", "externalId" : "5163c3fc-1477-46ff-8185-60b01d7b6184", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bengaluru", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bengaluru, Karnataka, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "Redshift, Oracle, NoSQL, Python, AWS, EC2, DynamoDB, S3", "professionalSkills" : [ "Marketplace economics", "Fee structures", "Seller behavior analysis", "Product innovation", "Global commerce" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Data warehousing", "ETL pipeline development", "SQL querying", "Scripting", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL pipeline development", "level" : "intermediate" }, { "name" : "SQL querying", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Business Intelligence, Data Engineering, Data Analysis", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Data Analysis" ], "coreResponsibilities" : "Uncover insights by analyzing datasets, Identify patterns, Track business-critical metrics, Analyze business-critical metrics, Partner with product managers, Partner with engineers, Partner with stakeholders, Define business metrics, Transform discoveries into recommendations, Develop data narratives, Deliver data narratives, Influence product strategy, Influence decision-making, Lead cross-functional collaborations, Architect data pipelines, Extract data, Transform data, Deliver insights, Build reporting solutions, Pioneer GenAI tools", "teamCollaboration" : "Product managers; Scientists; Engineers; Business leaders; Cross-functional collaborations", "domainKnowledge" : "Seller Fees Tech; Marketplace economics; Fee structures; Seller behavior; Global commerce", "domainList" : [ "seller-fees-tech", "marketplace-economics", "fee-structures", "seller-behavior", "global-commerce" ], "domainSpecificKnowledge" : [ "Seller Fees Tech", "Marketplace economics", "Fee structures", "Seller behavior", "Global commerce" ], "toolProficiency" : [ "Tableau", "Quicksight" ], "communicationSkills" : "Presenting recommendations; Data narratives", "innovationCreativity" : "GenAI tools", "problemSolvingSkills" : "Analyze massive datasets; Identify patterns; Decode complex fee structures; Uncover hidden patterns; Solve complex business puzzles", "outcomesObjectives" : "Optimize fee structures; Optimize seller experiences; Drive product innovations; Drive measurable results; Tangible improvements", "qualificationsBasic" : "3+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Data modeling experience, Data warehousing experience, ETL pipelines experience, SQL data pulling, Python scripting experience, Develop new metrics, Present new metrics", "qualificationsPreferred" : "AWS solutions experience, Data mining experience, ETL experience, Large-scale datasets experience, Tableau experience, Quicksight experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Business Intelligence Engineer II in the Seller Fees Tech organization, you'll be at the epicenter of Amazon's 3P fee systems ecosystem, wielding data as your superpower to revolutionize how millions of Selling Partners succeed on our platform! Dive into the world of marketplace economics where your analytical genius will decode complex fee structures, uncover hidden patterns in seller behavior, and drive product innovations that directly impact over 2MM+ active sellers worldwide. In this high-impact role, you'll collaborate with product managers, scientists, engineers, and business leaders to tackle fascinating challenges at the intersection of technology, finance, and global commerce. The Seller Fees Tech organization is where data meets real-world impact – every insight you generate can trigger a chain reaction across global stores, directly affecting seller profitability, and Amazon's bottom line. If you're passionate about leveraging latest analytical techniques (including GenAI) to solve complex business puzzles with massive scale and significance, this role offers the perfect blend of intellectual challenge and meaningful impact! Key job responsibilities A. Data Analysis & Insights Uncover insights by analyzing massive datasets, identifying patterns that reveal opportunities to optimize fee structures and seller experiences Track and analyze business-critical metrics that reveal the performance of fee structures and incentive programs across international marketplaces B. Business Partnership & Influence Partner with product managers, engineers, and key stakeholders to define business metrics Transform complex analytical discoveries into actionable business recommendations that drive measurable results Develop and deliver compelling data narratives that influence product strategy and decision-making Lead cross-functional collaborations that turn your analytical insights into tangible improvements C. Technical Implementation & Innovation Architect sophisticated data pipelines that extract, transform, and deliver critical insights Build scalable, automated reporting solutions Pioneer the application of latest GenAI tools to unlock deeper insights and analytical capabilities Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience developing and presenting recommendations of new metrics allowing better understanding of the performance of the business Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - Experience with data visualization using Tableau, Quicksight, or similar tools Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer at ADCI. Skills: Business Intelligence, Data Engineering, Data Analysis. Uncover insights by analyzing datasets. 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Business functions; Mathematical modeling; Business intelligence tools; Campaign targeting; Data analysis; Model development", "domainList" : [ "forecasting-technologies", "business-functions", "mathematical-modeling", "business-intelligence-tools", "campaign-targeting", "data-analysis", "model-development" ], "domainSpecificKnowledge" : [ "Forecasting technologies", "Business functions", "Mathematical modeling", "Business intelligence tools", "Campaign targeting", "Data analysis", "Model development" ], "toolProficiency" : [ "SQL", "ETL", "Oracle", "R", "SAS", "STATA", "SPSS" ], "innovationCreativity" : "Develop new forecasting technologies; Develop highly innovative business intelligence tools", "problemSolvingSkills" : "Transform complicated business problems into mathematics modeling", "qualificationsBasic" : "Master's degree or foreign equivalent, 1 year of experience, Bachelor's degree or foreign equivalent, 5 years progressive post-baccalaureate experience, 1 year experience using SQL, 1 year experience using ETL, 1 year experience processing large, multi-dimensional datasets, 1 year experience performing statistical analysis, 1 year experience developing automated reporting", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "MULTIPLE POSITIONS AVAILABLE Employer: AMAZON DATA SERVICES, INC. Offered Position: Business Intel Engineer III Job Location: Cupertino, California Job Number: AMZ9890888 Position Responsibilities: Support senior management by managing metrics reporting and performing mathematical and statistical modeling to produce business forecasts. Research, design, and develop new forecasting technologies to help Amazon leverage its data to support business functions through complicated mathematical modeling. Utilize database technologies, including SQL, ETL, and Oracle to design, develop, and evaluate highly innovative business intelligence tools and automated reports for campaign targeting and optimization. Transform complicated business problems into mathematics modeling and provide data-driven solutions. Perform statistical analysis, including clustering, cross-session and panel data regression using R, SAS, STATA, and SPSS. Establish scalable, efficient, automated processes for large scale data analyses, model development, model validation, and model implementation. 40 hours / week, 8:00am-5:00pm, Salary Range $149,900/year to $202,800/year. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, visit: https://www.aboutamazon.com/workplace/employee-benefits. Amazon.com is an Equal Opportunity-Affirmative Action Employer – Minority / Female / Disability / Veteran / Gender Identity / Sexual Orientation.#0000 Basic Qualifications: Position Requirements: Master’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and one year of experience in the job offered, or as a Data Engineer, Data Miner, or a related occupation. Employer will accept a Bachelor’s degree or foreign equivalent degree in Computer Science, Engineering, Mathematics, Statistics, Economics, or a related field and five years of progressive post-baccalaureate experience in the job offered or a related occupation as equivalent to the Master's degree and one year of experience. Must have one year of experience in the following skill(s): (1) using SQL, ETL or Oracle; (2) processing large, multi-dimensional datasets from multiple sources; (3) performing statistical analysis; and (4) developing automated reporting.#0000 Preferred Qualifications: Please see job description and the position requirements above. Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. 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Come join our team and build new discovery and shopping products that connect customers with their vehicle of choice. We're looking for a talented Business Intelligence Engineer (BIE) to join the fast growing team. This high-visibility role will be responsible for supporting local data management, report creation, and strategic analytic needs for our day to day operation and decision making. A successful candidate will be a self-starter, comfortable with ambiguity, and be able to create and maintain automated processes efficiently. They will set the vision, define the roadmap, and work alongside stakeholders across organizations to deliver results. They know and love working with business intelligence tools, can model multidimensional datasets, and can collaborate effectively with business and tech leaders to answer key business questions in a fraction of the time that it takes their peers. This role will have an immediate and lasting impact on both internal and external customers, and provides a unique opportunity to impact Amazon’s Advertising and Retail business. Key job responsibilities • Partner with stakeholders: Gather requirements and deliver end-to-end BI solutions (dashboards, data models, reporting) that address key business needs. • Build scalable data solutions: Design and maintain ETL pipelines and data models using SQL and scripting languages to integrate data from multiple sources (e.g., Redshift, Oracle). • Insights & decision support: Analyze performance trends, identify key drivers, and deliver actionable, data-driven recommendations to inform strategy and planning. • Ensure data quality & rigor: Apply best practices in data integrity, validation, experiment design, and documentation to maintain a trusted data source. • Innovate with data & AI: Evaluate and implement new data technologies and AI-driven approaches to automate insights and improve decision-making efficiency. A day in the life • This role supports the Ads Autos strategic finance and business leadership teams to drive informed decision making. • You will support the Ads Autos Store with robust data needs that span various business domains which are all related to a new line of business for Amazon • Our team supports multiple reporting mechanisms, including development of systems on AWS, micro services, and pipelines Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data modeling, warehousing and building ETL pipelines - Experience in writing complex, highly-optimized SQL queries across large datasets - Experience with statistical analytics and programming languages such as R, Python, Ruby, etc. - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Experience visualizing data in Tableau or other relevant data visualization software Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, CA, Sunnyvale - 114,500.00 - 185,000.00 USD annually USA, NY, New York - 109,500.00 - 185,000.00 USD annually USA, WA, SEATTLE - 99,500.00 - 160,000.00 USD annually", "summaryDescription" : "Business Intelligence Engineer at Amazon Advertising LLC. Skills: Business Intelligence, Data Engineering, ETL, SQL. Gather requirements. 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Partner with product teams; Collaborate with CMT teams; Collaborate with Retail business teams; Collaborate with teams on data accuracy; Collaborate with teams on data consistency", "domainKnowledge" : "Pricing analytics; Amazon's pricing systems", "domainList" : [ "pricing-analytics", "amazon-s-pricing-systems" ], "domainSpecificKnowledge" : [ "Pricing analytics", "Amazon's pricing systems" ], "toolProficiency" : [ "Tableau", "Quicksight", "Redshift", "Oracle", "NoSQL", "R", "SAS", "Matlab", "Python" ], "problemSolvingSkills" : "Problem-solving skills", "outcomesObjectives" : "Improve competitive position; Improve customer value perception; Deliver actionable insights", "qualificationsBasic" : "5+ years analyzing data, Redshift experience, Oracle experience, NoSQL experience, Tableau experience, Quicksight experience, Data modeling experience, Data warehousing experience, ETL pipelines experience, R experience, SAS experience, Matlab experience, SQL data pull experience, Python scripting experience, Bachelor's degree in sciences, Bachelor's degree in engineering, Bachelor's degree in finance", "qualificationsPreferred" : "AWS EC2 experience, AWS DynamoDB experience, AWS S3 experience, AWS Redshift experience, Data mining experience, ETL experience, Experience using databases in a business environment, Experience with large-scale, complex datasets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The CMT Central Analytics Team leads pricing analytics to improve Amazon's competitive position and customer value perception. We seek a Business Intelligence (BI) Engineer to strengthen our data-driven decision-making processes. This position combines strategic planning with direct implementation. The role requires strong analytical capabilities, experience with BI solutions, business acumen, and the ability to collaborate across CMT teams. The BI Engineer will own and automate reporting solutions, support CMT and Retail business teams, analyze pricing data to identify key decision drivers, and deliver actionable insights. We need a self-directed professional who thrives in dynamic environments. The successful candidate will demonstrate the ability to work independently, quick comprehension of Amazon's pricing systems, problem-solving skills, and experience managing multiple priorities Key job responsibilities 1. Partner with CMT business and product teams to analyze business drivers and technical requirements. Develop data models, conduct analysis, and provide solutions to product challenges. 2. Develop and implement key performance indicators (KPIs) to measure business performance and product impact. Transform metrics into actionable insights. 3. Design and build automated, self-service reporting platforms for large-scale data analysis. 4. Write and optimize SQL queries for both scheduled reporting and ad-hoc analysis. 5. Lead data infrastructure management for the CMT central analytics team. Select appropriate data sources and collaborate with teams to ensure data accuracy and consistency. 6. Architect and implement end-to-end data solutions for new product launches, from requirements gathering to deployment Basic Qualifications: - 5+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Bachelor's degree in sciences, engineering, finance or equivalent Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer II, CMT at ADCI. Skills: Business Intelligence, Data analysis, SQL, ETL. Analyze business drivers. 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K.", "industry" : "Business Intelligence, Business Intel Engineer, Operations", "salary" : { "min" : 8500000.0, "max" : 1.3E7, "currency" : "JPY", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Business Intelligence Engineer in Tokyo, Japan, adjusted for the logistics industry and Amazon's company size." }, "location" : "Tokyo, JPN", "locations" : [ "Tokyo, JPN" ], "timestamp" : "2026-06-15T07:52:35.179", "fingerprint" : "e4ccded38f7cc8a7731f9a27750ffa5dc2a82bae74402fd16ab44e22b6f09f2a", "source" : "amazon", "language" : "ja", "applyUrl" : "https://account.amazon.com/jobs/3137080/apply", "externalId" : "f07a411c-0444-4200-941e-9db96b13f1a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tokyo", "country" : "Japan", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "35.6768601,139.7638947" } ], "locationText" : "Tokyo, Japan", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Redshift, Oracle, NoSQL, Tableau, Quicksight, R, SAS, Matlab, AWS, EC2, DynamoDB, S3, Lambda", "professionalSkills" : [ "Data analysis", "Data modeling", "ETL pipelines", "Statistical analysis", "Data visualization", "BI dashboard development", "Data pipeline construction", "Process automation", "Metrics development", "Reporting", "KPI development" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "ETL", "Statistical analysis", "Data visualization", "SQL", "Scripting" ], "softSkillsList" : [ "Flexibility", "Speed", "Problem solving", "Root cause analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "SQL", "level" : "intermediate" }, { "name" : "Scripting", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Flexibility" }, { "name" : "Speed" }, { "name" : "Problem solving" }, { "name" : "Root cause analysis" } ], "majorSkills" : "Business Intelligence, Data Engineering, Data Analysis", "majorSkillsList" : [ "Business Intelligence", "Data Engineering", "Data Analysis" ], "coreResponsibilities" : "Propose actionable measures through data analysis, Support FC operations problem solving, Build data pipelines, Automate processes, Design and develop metrics, reports, and dashboards, Communicate with stakeholders, Clarify essential needs, Propose ideal state, Provide data handling best practices, Build mechanisms for maximum data utilization", "teamCollaboration" : "FC Network Planning team; Business specialists; Internal customers; Stakeholders", "domainKnowledge" : "FC operations; Logistics management; Supply chain", "domainList" : [ "fc-operations", "logistics-management", "supply-chain" ], "domainSpecificKnowledge" : [ "FC operations", "Logistics management", "Supply chain" ], "toolProficiency" : [ "Redshift", "Oracle", "NoSQL", "Tableau", "Quicksight", "R", "SAS", "Matlab", "Python" ], "communicationSkills" : "Business document creation; Email communication", "documentationSkills" : "Design documents", "continuousLearning" : "Learn new BI technologies", "problemSolvingSkills" : "Identify problem essence; Identify root cause; Consider fundamental countermeasures; Execute countermeasures", "outcomesObjectives" : "Contribute to cost reduction; Improve delivery speed; Expand selection", "qualificationsBasic" : "3+ years analyzing data with Redshift, Oracle, NoSQL, Data visualization experience, Data modeling, warehousing, ETL pipelines, Statistical Analysis packages experience, SQL and scripting experience, Bachelor's degree in Information Engineering, Computer Science, Engineering, Mathematics, or Physics, 3+ years business data analysis experience, 3+ years KPI development, data extraction, visualization, reporting, Complex, highly optimized SQL experience, Fluent Japanese, Business document and email communication in English", "qualificationsPreferred" : "AWS solutions experience, Data mining, ETL experience, Master's degree or higher, Business intelligence experience, Data engineering experience, Basic cloud tool usage, 2+ years logistics, service, or manufacturing experience, Process improvement experience, Management experience with multiple stakeholders, Complex, large-scale problem-solving experience, Experience in tight schedule environments", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "アマゾンは“地球上でもっとも豊富な品揃え”と“地球上でもっともお客様を大切にする企業であること”をミッションとしています。私達の提供するCustomer Experience（顧客満足度）は、品揃え、低価格、および利便性の三つの柱があります。アマゾンジャパンはオペレーション（運営・推進）事業の拠点として、約30のフルフィルメントセンター（Fulfillment Center, FC）を持ち、よりよいCustomer Experienceを提供するために拡大を続けています。FCは最先端のシステム、設備が導入された物流拠点で、2023年には14億個を超える商材を出荷しています。FCの物流管理業務は、物流倉庫の管理というよりは製造業に近い工程管理となっています。この度、APEX-RoW Technology Solutions (ARTS)は、FC Network Planning チームと共に、FCのオペレーションを、テクノロジーで意欲的に支える、顧客志向のBusiness Intelligence Engineerを募集します。本ポジションは、日本全国のAmazon Fulfillment Network全体から取得するBig Dataを効率的に有効活用して、オペレーション部門が継続的にお客様のために、コスト削減、配送スピードの向上、セレクションの拡大をしていくことに貢献します。オペレーションの課題にデータ分析、データパイプライン構築、データ可視化などの最新の手法を提供することで、標準化、自動化、最適化を推進します。本ポジションの魅力非常に速いスピードで業務が展開され、日々多くの変化があります。事業が急速に拡大していく中、新しいことに積極的にチャレンジすることが可能な環境であり、ビジネスの成長と共に自分自身も成長することができます。また、データマネジメントの観点では以下のような環境です。 - データドリブンな組織で、ビッグデータを長期に渡ってビジネスに有効に活用する手法を学びます - 多様なバックグラウンド・スキルを持つエンジニアのメンバー、ビジネス側のスペシャリスト達と共にプロジェクトを推進します - KPI、BIダッシュボード、データパイプライン等の設計と構築において全工程で関与することができ、裁量を持って推進いただけます - AWS（Redshift、S3、Lambda、QuickSight等）のスタンダードに基づいた開発ができるBIEとして成長できます活躍していただける方 - フレキシビリティとスピード感を常に持ち、お客様とAmazonがより良くなるために主体的に課題解決やアクションに取り組める方 - 課題の本質を見極め、問題の根本原因を特定し、本質的な対策を考え、実行することができる方 - 社内の顧客にあたる部門、ステークホルダーと協力しながら、改善を進めていくことができる方 Key job responsibilities - データ分析によりアクション可能な施策の提案を行いFCオペレーションの課題解決をサポートする - データパイプラインを構築し一連のプロセスを自動化する - メトリクス、レポート、ダッシュボードを設計・開発する - ステークホルダーと丁寧なコミュニケーションを行い、本質的なニーズを明らかにし、あるべき姿を提案できる - 社内におけるデータハンドリングのベストプラクティスを顧客に提供し、データを最大限に活用できるメカニズムを構築する A day in the life 平均的な一日の業務の流れは以下の通りです。 - 毎日のスタンドアップミーティングに出席し、ステータスのアップデートを行う - 社内のステークホルダーとミーティングをしてニーズを確認する - 仕様をまとめてデザインドキュメントを作成する - BI分析/ソリューションを開発する - 新しいBIテクノロジーについて学ぶ Basic Qualifications: - 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling - Speak, write, and read fluently in Japanese - 情報工学、コンピュータサイエンス、エンジニアリング、数学、物理、などの学士号 - ビジネス分野における3年以上のデータ分析経験 - ビジネス要件の集約、BIツールを使用してのデータ抽出、KPI策定、データ可視化、レポート作成などの3年以上の経験 - 大規模なデータセットを使い複雑で高度に最適化されたSQLを作成した実務経験 - スクリプトまたはコンピューティング言語の経験（例：Pythonなど） - 日本語が流暢で、ビジネス上のドキュメント作成やメールでのコミュニケーションが英語でできる - 多国籍/多様性のあるグループで働くことができる Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets - 関連する技術分野の修士号以上 - ビジネスインテリジェンス、データエンジニアリングの経験 - クラウドベースの基本的なツールの使用経験 - ロジスティクス、サービス、製造業界での2年以上の実務経験 - プロセス改善の推進経験 - 組織の様々なレベルで複数のステークホルダーを扱うマネジメントの経験 - 複雑で大規模な問題解決の経験、タイトなスケジュール環境での業務経験 Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Business Intelligence Engineer at Amazon Japan G. K.. Skills: Business Intelligence, Data Engineering, Data Analysis. Propose actionable measures through data analysis. 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