{ "count" : 41669, "data" : [ { "id" : "6a2c6af374d8ee00a090f628", "title" : "Data Quality Data Analyst", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 120000.0, "max" : 180000.0, "currency" : "PLN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Data Quality Data Analyst in Krakow, Poland, with adjustments for the consulting industry and company size." }, "location" : "Poland", "locations" : [ "Poland" ], "timestamp" : "2026-06-16T00:55:31.423", "fingerprint" : "5c743ab6cde29550097dbad4c3616808091c0f263e1d975fe2d8a6eeb23d1234", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8002462", "externalId" : "8002462", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Krakow", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "50.0619474,19.9368564" }, { "city" : "Warsaw", "country" : "Poland", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.2333742,21.0711489" } ], "locationText" : "Krakow, Poland; Warsaw, Poland", "employmentType" : "CONTRACT", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python", "professionalSkills" : [ "Data manipulation", "Root cause analysis" ], "hardSkillsList" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation" ], "hardSkills" : [ { "name" : "Data Quality", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Data joining", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" } ], "majorSkills" : "Data Quality, Data analysis, SQL", "majorSkillsList" : [ "Data Quality", "Data analysis", "SQL" ], "coreResponsibilities" : "Support Data Quality initiatives, Analyze datasets, Understand datasets, Assess datasets, Identify data quality issues, Identify opportunities for improvement, Perform data extraction, Perform data transformation, Perform data joining, Perform data manipulation, Contribute to DRR decommissioning process, Ensure data integrity, Ensure data continuity, Collaborate with business stakeholders, Collaborate with data engineers, Collaborate with technology teams, Define data solutions, Implement data solutions, Conduct data validation, Conduct data reconciliation, Conduct root cause analysis, Document data flows, Document data quality controls, Document analytical findings", "teamCollaboration" : "Collaborate with business stakeholders; Collaborate with data engineers; Collaborate with technology teams", "domainKnowledge" : "Financial services; Banking; Credit; Credit domain", "domainList" : [ "financial-services", "banking", "credit", "credit-domain" ], "domainSpecificKnowledge" : [ "Financial services", "Banking", "Credit", "Credit domain" ], "toolProficiency" : [ "Jupyter Notebooks" ], "communicationSkills" : "Communicate technical findings", "documentationSkills" : "Document data flows; Document data quality controls; Document analytical findings", "problemSolvingSkills" : "Analytical capabilities; Problem-solving capabilities; Root cause analysis", "qualificationsBasic" : "Experience in Data Quality, Data analysis roles, Understand, join, transform, and manipulate datasets, Advanced SQL, Data querying skills, Python, Jupyter Notebooks, Analytical and problem-solving capabilities, Ability to communicate technical findings", "qualificationsPreferred" : "Experience with Prophecy, Data migration experience, Application decommissioning experience, System retirement projects experience, Knowledge of data governance, Data quality frameworks knowledge", "workSiteFlexibility" : "Flexible", "rawDescription" : "Data Analyst – Data Quality (Financial services/Credit) Location: Krakow or Warsaw preferred Capco a Wipro Company Capco a Wipro Company is a leading global technology and management consultancy, dedicated to driving digital transformation across the financial services industry. Our passion lies in helping our clients navigate the complexities of the financial world, and our expertise spans banking and payments, capital markets, wealth, and asset management. We pride ourselves on maintaining a nimble, agile, and entrepreneurial culture, and we are committed to growing our business by hiring top talent. Role Overview We are seeking an experienced Data Analyst with strong Data Quality (DQ) expertise to join us. The successful candidate will initially focus on data quality initiatives and will gradually transition into supporting the DRR decommissioning (demise) process. This role requires strong analytical skills, hands-on data manipulation experience, and the ability to work with complex datasets across multiple sources. Key Responsibilities Support Data Quality (DQ) initiatives within the Credit domain. Analyze, understand, and assess large and complex datasets to identify data quality issues and opportunities for improvement. Perform data extraction, transformation, joining, and manipulation activities to support business and regulatory requirements. Contribute to the DRR decommissioning process, ensuring data integrity and continuity throughout the transition. Collaborate with business stakeholders, data engineers, and technology teams to define and implement data solutions. Conduct data validation, reconciliation, and root cause analysis activities. Document data flows, data quality controls, and analytical findings. Required Skills & Experience Strong experience in Data Quality and data analysis roles. Proven ability to understand, join, transform, and manipulate datasets from multiple sources. Advanced SQL and data querying skills. Hands-on experience with Python, particularly using Jupyter Notebooks for data analysis and exploration. Strong analytical and problem-solving capabilities. Experience working within financial services, banking, or credit-related domains is highly desirable. Ability to communicate technical findings effectively to both technical and non-technical stakeholders. Preferred Skills Experience with Prophecy would be advantageous. Exposure to data migration, application decommissioning, or system retirement projects. Knowledge of data governance and data quality frameworks. Candidate Profile Strong Data Quality practitioner with a data-focused mindset. Comfortable working independently and managing complex analytical tasks. Detail-oriented with a strong focus on data accuracy and integrity. Proactive, collaborative, and adaptable in a changing project environment. We offer a flexible collaboration model based on a B2B contract, with the opportunity to work on diverse projects. Recruitment Process: HR Interview Hiring Manager Technical Interview Client Interview Feedback and offer We have been informed of several recruitment scams targeting the public. We strongly advise you to verify identities before engaging in recruitment related communication. All official Capco communication will be conducted via a Capco recruiter. #LI-Hybrid", "summaryDescription" : "Data Quality Data Analyst at Capco. Skills: Data Quality, Data analysis, SQL. Support Data Quality initiatives. Analyze datasets", "postedDate" : "2026-06-14T20:08:06.986", "createdAt" : "2026-06-14T20:08:06.986", "lastUpdated" : "2026-06-16T00:55:31.423", "ingestTimestamp" : "2026-06-14T20:08:06.986", "mongoId" : "6a2c6af374d8ee00a090f628", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data Quality", "Data analysis", "Data extraction", "Data transformation", "Data joining", "Data manipulation", "Data validation", "Data reconciliation", "SQL", "Root cause analysis", "Financial services", "Banking", "Credit", "Credit domain", "Jupyter Notebooks" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3056b1f292fd229cf2ccf9", "title" : "Clinical Quality Data Analyst", "company" : "Pullman Regional", "industry" : "Healthcare", "salary" : { "min" : 38.75, "max" : 63.41, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "certifications" : [ "Certification in Healthcare Quality (CPHQ)" ], "timestamp" : "2026-06-16T13:07:51.874", "fingerprint" : "c2cbca8a29e468934a454b8c9d6f2a97b13ae57b3ce25a019b7d2b5ad0efccd9", "source" : "workday", "language" : "en", "applyUrl" : "https://pullmanregionalhospital.wd1.myworkdayjobs.com/Careers/job/Pullman-Regional-Hospital/Clinical-Quality-Data-Analyst_JR_26000208", "externalId" : "JR_26000208", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Power BI, Excel, Tableau, EHR reporting systems", "professionalSkills" : [ "Clinical analysis", "Financial analysis", "Systems technology", "Database functionality", "Reporting tools", "Healthcare systems", "Healthcare processes", "Prospective analyses", "Retrospective analyses", "Performance monitoring", "Quality improvement", "Regulatory compliance", "Data abstraction", "Data auditing", "Data validation", "Operational improvement", "Clinical improvement", "Performance improvement projects", "Accreditation surveys", "State audits", "Quality benchmarking" ], "hardSkillsList" : [ "Data analytics", "Quality management", "Patient safety", "Data manipulation", "Data visualization", "Data management", "Electronic medical records", "Data analysis", "Performance improvement" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" }, { "name" : "Quality management", "level" : "intermediate" }, { "name" : "Patient safety", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Electronic medical records", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance improvement", "level" : "intermediate" } ], "majorSkills" : "Healthcare data analytics, Data visualization, Reporting, Quality metrics", "majorSkillsList" : [ "Healthcare data analytics", "Data visualization", "Reporting", "Quality metrics" ], "coreResponsibilities" : "Organize data sets, Manage data sets, Analyze healthcare data, Optimize business operations, Communicate findings, Design solutions, Identify solutions, Facilitate organizational reporting, Monitor outcomes, Demonstrate knowledge of trends, Demonstrate knowledge of issues, Analyze data, Assist in healthcare management, Assist in decision making, Develop dashboards, Maintain dashboards, Develop scorecards, Maintain scorecards, Develop reports, Maintain reports, Monitor hospital quality metrics, Monitor CMS Star Measures, Monitor patient safety indicators, Monitor infection prevention data, Monitor readmission rates, Monitor patient satisfaction measures, Support CMS reporting requirements, Support regulatory compliance activities, Perform data abstraction, Perform data auditing, Perform data validation, Ensure accuracy, Ensure completeness, Identify trends, Identify variances, Identify opportunities, Collaborate with department leaders, Collaborate with nursing staff, Collaborate with providers, Collaborate with administration, Support quality initiatives, Support performance improvement projects, Prepare reports, Prepare presentations, Assist with accreditation surveys, Assist with state audits, Assist with quality benchmarking, Maintain confidentiality, Comply with HIPAA, Comply with hospital privacy policies, Support implementation of reporting tools, Support optimization of reporting tools", "teamCollaboration" : "Department leaders; Nursing staff; Providers; Administration", "projectManagementSkills" : [ "Manage multiple projects" ], "domainKnowledge" : "Healthcare data analytics; Healthcare quality metrics; CMS reporting; Patient safety initiatives; Clinical quality management; Patient safety protocols; Infection control standards; Critical access hospital; Accreditation bodies", "domainList" : [ "healthcare-data-analytics", "healthcare-quality-metrics", "cms-reporting", "patient-safety-initiatives", "clinical-quality-management", "patient-safety-protocols", "infection-control-standards", "critical-access-hospital", "accreditation-bodies" ], "domainSpecificKnowledge" : [ "Healthcare data analytics", "Healthcare quality metrics", "CMS reporting", "Patient safety initiatives", "Clinical quality management", "Patient safety protocols", "Infection control standards", "Critical access hospital", "Accreditation bodies" ], "toolProficiency" : [ "Power BI", "Excel", "Tableau", "EHR reporting systems" ], "communicationSkills" : "Communicate complex data", "problemSolvingSkills" : "Data analysis; Performance improvement", "qualificationsBasic" : "4 years-experience in data analytics, 4 years-experience in quality management, 4 years-experience in patient safety, Knowledge of healthcare quality metrics, Knowledge of CMS reporting, Knowledge of patient safety initiatives, Proficiency with data manipulation software, Experience with data visualization tools, Knowledge of data management applications, Proficiency in managing electronic medical records, Proficiency in data analysis, Proficiency in performance improvement methodologies, Ability to manage multiple projects, Ability to meet deadlines, Ability to communicate complex data, Bachelor's degree in related field", "qualificationsPreferred" : "Master's degree in nursing, Master's degree in Healthcare Administration, Certification in Healthcare Quality (CPHQ), Experience in a critical access hospital, Familiarity with DNV, Familiarity with CMS", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Pay Range:** The base pay range for this position is $38.75-$63.41 Hourly however, base pay offered may vary depending on job-related knowledge, skills, and experience. **Job Title:** Clinical Quality Data Analyst **Work Schedule for this Position:** Monday - Friday 8 am - 5 pm **Company Statement:** Pullman Regional is an innovative, patient-focused, multi-disciplinary based work environment where all members of the team contribute to the exceptional care of our patients and the community. **Position Overview:** The Healthcare Data Analyst is responsible for organizing and managing large and varied data sets and associated decision support tools, analyzing healthcare data to optimize business operations, and communicating the findings through the use of data visualization and detailed reports. Applies advanced level knowledge of clinical and financial analysis as well as systems technology to identify and design solutions with respect to clinical, operational and financial performance improvement. Demonstrates an understanding of database functionality and reporting tools, and knowledge of healthcare systems and processes. Demonstrates exceptional analytical capability to develop, design and execute prospective and retrospective analyses. Facilitates organizational reporting of clinical, operational and financial performance and monitoring outcomes of care processes. **A Day in the Life:** * Demonstrate knowledge of current trends and issues in the healthcare data analytics field. * Analyze data to assist in delivering optimal healthcare management and decision making. * Develop and maintain dashboards, scorecards, and reports for quality improvement initiatives. * Monitor hospital quality metrics and CMS Star Measures, patient safety indicators, infection prevention data, readmission rates, and patient satisfaction measures. * Support CMS Critical Access Hospital reporting requirements and other regulatory compliance activities. * Perform data abstraction, auditing, and validation to ensure accuracy and completeness of submissions. * Identify trends, variances, and opportunities for operational and clinical improvement. * Collaborate with department leaders, nursing staff, providers, and administration to support quality initiatives and performance improvement projects. * Prepare reports and presentations for QMS, Medical Staff, Board of Commissioners, and leadership meetings. * Assist with accreditation surveys, state audits, and quality benchmarking activities. * Maintain confidentiality and comply with HIPAA and hospital privacy policies. * Support implementation and optimization of reporting tools such as Power BI, Excel, Tableau, or EHR reporting systems. **About You!** **This Job is For You if You Have:** * A minimum of 4 years-experience in data analytics, quality management, patient safety, or associated field. * Knowledge of healthcare quality metrics, CMS reporting, and patient safety initiatives. * Proficiency with data manipulation software. * Experience with data visualization tools. * Knowledge of data management applications. * Proficiency in managing electronic medical records. * Proficiency in data analysis and performance improvement methodologies. * Ability to manage multiple projects and deadlines in a fast-paced healthcare environment. * Ability to communicate complex data clearly to clinical and non-clinical audiences. * Strong attention to detail and data accuracy. * Bachelor's degree in Healthcare Administration, Health Information Management, Public Health, Data Analytics, Nursing, Business, or related field preferred. * Associate’s degree in related field will be considered with relevant experience. **A Wow if You Have:** * Master’s degree in nursing, Healthcare Administration, or related field. * Certification in Healthcare Quality (CPHQ) is preferred or must be obtained within a set timeframe upon hiring. * Strong knowledge of clinical quality management, patient safety protocols, and infection control standards. * Previous experience in a critical access hospital setting. * Familiarity with accreditation bodies such as DNV or CMS. **Company Perks:** Our employees are our most important asset and that’s reflected in our benefits. Pullman Regional is proud to offer a variety of benefits to support employees and their families, including: * Medical/Vision, Dental, Health Savings Account, and Paid Leave Time * Employer Paid Life Insurance and Long-Term Disability * Retirement with Employer Matching Contributions * Voluntary Benefits that include: Life Insurance, Critical Illness, Accident Insurance, and Short-Term Disability * Services Discount and EAP Resources **A Few More Important Points:** The job posting highlights the most critical responsibilities and requirements of the job. It is not all-inclusive. There may be additional duties, responsibilities, and qualifications for this job. **Disability Contacts:** Applicants with disabilities who require assistance or accommodation should contact Human Resources at [humanresources@pullmanregional.org](mailto:humanresources@pullmanregional.org) **Current Pullman Regional Employees:** To apply, log into Workday, click the Jobs Hub button.", "summaryDescription" : "Clinical Quality Data Analyst at Pullman Regional. Skills: Healthcare data analytics, Data visualization, Reporting, Quality metrics. Organize data sets. Manage data sets", "postedDate" : "2026-06-16T03:47:11.094", "createdAt" : "2026-06-16T03:47:11.035", "lastUpdated" : "2026-06-16T13:07:51.874", "ingestTimestamp" : "2026-06-16T03:47:11.035", "mongoId" : "6a3056b1f292fd229cf2ccf9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://pullmanregionalhospital.wd1.myworkdayjobs.com/Careers/job/Pullman-Regional-Hospital/Clinical-Quality-Data-Analyst_JR_26000208", "salaryAnnualMin" : 80600, "salaryAnnualMax" : 131892, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Quality management", "Patient safety", "Data manipulation", "Data visualization", "Data management", "Electronic medical records", "Data analysis", "Performance improvement", "Healthcare data analytics", "Reporting", "Quality metrics", "Clinical analysis", "Financial analysis", "Systems technology", "Database functionality", "Reporting tools", "Healthcare systems", "Healthcare processes", "Prospective analyses", "Retrospective analyses", "Performance monitoring", "Quality improvement", "Regulatory compliance", "Data abstraction", "Data auditing", "Data validation", "Operational improvement", "Clinical improvement", "Performance improvement projects", "Accreditation surveys", "State audits", "Quality benchmarking", "Manage multiple projects", "Healthcare quality metrics", "CMS reporting", "Patient safety initiatives", "Clinical quality management", "Patient safety protocols", "Infection control standards", "Critical access hospital", "Accreditation bodies", "Certification in Healthcare Quality (CPHQ)", "Power BI", "Excel", "Tableau", "EHR reporting systems" ], "skillCount" : 47, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0f4f6858b93c861e04fe65", "title" : "Data Quality Analyst", "company" : "Reface", "industry" : "Technology", "salary" : { "min" : 600000.0, "max" : 900000.0, "currency" : "UAH", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Quality Analyst in Ukraine, adjusted for the technology industry and a mid-sized company." }, "location" : "Україна", "locations" : [ "Україна" ], "timestamp" : "2026-06-16T05:41:40.242", "fingerprint" : "6ef13df8496a2e88627a774fcd97f05f1903bd9b0bb1db613264893108924483", "source" : "breezyhr", "language" : "uk", "applyUrl" : "https://reface.breezy.hr/p/77934c7943f6-data-quality-analyst", "externalId" : "77934c7943f6", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Ukraine", "continent" : "eu", "workMode" : "onsite" } ], "locationText" : "Ukraine", "coreResponsibilities" : "Make data foundation stronger, Make data foundation more reliable", "remoteFriendly" : true, "rawDescription" : "Шукаємо в Reface людину, яка буде робити наш data-фундамент міцнішим і надійнішим Reface — українська продуктова компанія, що створює мобільні АІ-застосунки. За 5 років наші продукти завантажили понад 250М разів. Були № 1 в USA App Store, отримали Google Play’s Best App та залучили інвестиції від A", "summaryDescription" : "Data Quality Analyst at Reface. Make data foundation stronger. Make data foundation more reliable", "createdAt" : "2026-06-14T18:37:53.793", "lastUpdated" : "2026-06-16T05:41:40.242", "ingestTimestamp" : "2026-06-14T18:37:53.793", "mongoId" : "6a0f4f6858b93c861e04fe65", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305640f292fd229cf264ef", "title" : "Data Analyst - Quality & Fraud", "company" : "Delivery Hero", "industry" : "Internet", "salary" : { "min" : 55000.0, "max" : 75000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Analyst in the E-commerce industry in Barcelona, Spain, adjusted for seniority and company size." }, "location" : "Barcelona, Spain", "locations" : [ "Barcelona", "Spain" ], "timestamp" : "2026-06-16T10:14:01.602", "fingerprint" : "4cc2b4f5bf6c76a9d8c6ba6e13ef71084189f9c32b380c84fc493a3563a873a9", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/DeliveryHero/744000132180279-data-analyst-quality-fraud-they-she-he-", "externalId" : "744000132180279", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Barcelona", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "41.3825802,2.1770730" } ], "locationText" : "Barcelona, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Excel, Looker, Tableau, PowerBI", "professionalSkills" : [ "Analytical skills", "Coding skills", "Problem-solving skills", "Business mindset", "Strategic vision" ], "hardSkillsList" : [ "Data-driven insights", "Detection frameworks", "Monitoring tools", "Analytical models" ], "softSkillsList" : [ "Organized", "Obsessed with detail" ], "hardSkills" : [ { "name" : "Data-driven insights", "level" : "intermediate" }, { "name" : "Detection frameworks", "level" : "intermediate" }, { "name" : "Monitoring tools", "level" : "intermediate" }, { "name" : "Analytical models", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Organized" }, { "name" : "Obsessed with detail" } ], "majorSkills" : "Quality strategy, Fraud detection, Risk mitigation", "majorSkillsList" : [ "Quality strategy", "Fraud detection", "Risk mitigation" ], "coreResponsibilities" : "Own and define global courier fraud strategy, Ensure consistent implementation, Ensure continuous improvement, Proactively address key courier-related challenges, Develop scalable self-service dashboards, Develop monitoring tools, Empower local teams to act on insights, Perform deep-dive analyses, Identify drivers of quality gaps, Propose clear, actionable solutions, Provide regular updates to leadership, Report on courier quality performance, Highlight risks and opportunities, Develop analytical models, Develop frameworks to monitor fraud risks, Predict potential no-shows, Optimize fleet distribution, Collaborate cross-functionally with Operations, Collaborate with Fraud Prevention, Collaborate with Product, Collaborate with Data teams, Align strategies, Ensure impact, Understand courier pain points, Understand courier motivations, Design data-informed solutions, Drive courier satisfaction, Drive operational excellence", "teamCollaboration" : "Cross-functionally with Operations; Cross-functionally with Fraud Prevention; Cross-functionally with Product; Cross-functionally with Data teams", "domainKnowledge" : "Courier fraud; Risk mitigation; GPS spoofing; Account sharing; Payment abuse", "domainList" : [ "courier-fraud", "risk-mitigation", "gps-spoofing", "account-sharing", "payment-abuse" ], "domainSpecificKnowledge" : [ "Courier fraud", "Risk mitigation", "GPS spoofing", "Account sharing", "Payment abuse" ], "toolProficiency" : [ "BI platforms" ], "communicationSkills" : "Verbal communication; Written communication", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "outcomesObjectives" : "Reduce malicious activity; Guarantee Glovo's fleet remains fair; Guarantee Glovo's fleet remains secure", "qualificationsBasic" : "3+ years of work experience, SQL proficiency, Excel proficiency, BI platforms experience, English is a must", "qualificationsPreferred" : "Degree in Engineering, Degree in Business, Degree in Economics, Degree in Project Management, Degree in Business Analytics, Degree in data driven domain, PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Glovo is part of the Delivery Hero Group, the world’s pioneering local delivery platform, our mission is to deliver an amazing experience—fast, easy, and to your door. We operate in around 70 countries worldwide. Headquartered in Berlin, Germany. Delivery Hero has been listed on the Frankfurt Stock Exchange since 2017 and is part of the MDAX stock market index. If you’re here, it’s because you’re looking for an exciting ride. A ride that will fuel up your ambitions to take on a new challenge and stretch yourself beyond your comfort zone. We’ll deliver a non-vanilla culture built on talent, where we work to amplify the impact on millions of people , paving the way forward together. Not your usual app. We are the fastest-growing multi-category app connecting millions of users with businesses, and couriers, offering on-demand services from more than 170,000 local restaurants, grocers and supermarkets, and high street retail stores. We operate in more than 1500 cities across 23 countries. Together we revolutionise the way people connect with their everyday needs, from delivering essentials to connecting our ecosystem of users through innovative solutions powered by technology. For us, every day is filled with purpose. What makes our ride unique? \uD83E\uDD1D Our culture and strong values. \uD83D\uDCAA Our career development philosophy. \uD83E\uDD1D Our commitment to being a force for good. We have a vision: Building the largest marketplace in your city, to give access to anything in minutes. And this is where your ride starts. YOUR MISSION Join Glovo's Global Operations team and become an integral part of our dynamic and challenging environment, offering numerous opportunities for growth and development. We are seeking a Senior Data Analyst to join the Courier Fraud team, driving the design, monitoring, and implementation of our global anti-fraud and risk mitigation strategy. In this role, you will be responsible for delivering data-driven insights, building detection frameworks and dashboards, and ensuring that our global integrity standards are consistently met and enforced. Your work will be central to reducing malicious activity (such as abuse of cancellations, account sharing, GPS spoofing, and payment abuse) and to guaranteeing that Glovo’s fleet remains fair and secure. THE JOURNEY * Own and define the global courier fraud strategy across all Glovo markets, ensuring consistent implementation and continuous improvement. * Proactively address key courier-related challenges at local, regional, and global levels. * Develop scalable self-service dashboards and monitoring tools that empower local teams to act on quality-related insights. * Perform deep-dive analyses to identify the drivers of quality gaps and propose clear, actionable solutions. * Provide regular updates and reports to leadership on courier quality performance, highlighting risks and opportunities. * Develop analytical models and frameworks to monitor fraud risks, predict potential no-shows, and optimize fleet distribution. * Collaborate cross-functionally with Operations, Fraud Prevention, Product, and Data teams to align strategies and ensure impact. * Step into the shoes of the couriers—understanding their pain points and motivations—to design data-informed solutions that drive both courier satisfaction and operational excellence. ## Qualifications WHAT YOU WILL BRING TO THE RIDE * Degree in Engineering, Business, Economics, Project Management, Business Analytics or any data driven domain. * +3 years of work experience providing internal teams with the necessary data to make the right decisions and proven experience on actionate those insights (this is a must). * Strong analytical and coding skills: Good inSQL and Excel proficiency(or extensive coding experience), and BI platforms experience (Looker, Tableau, PowerBI,…). * Strong strategic vision and business mindset. * Excellent problem-solving and analytical skills. Comfortable to break down complex problems into solutions. * Comfortable working in a high-growth and high-performance environment, dealing with ambiguity while maintaining a positive mindset. * Exceptional verbal and written communication skills (English is a must) * Proactive, organized, and obsessed with detail. Individuals representing diverse profiles, and abilities, encompassing various genders, ethnicities, and backgrounds, are less likely to apply for this role if they do not possess solid experience in 100% of these areas. Even if it seems you don't meet our musts don't let it stop you, we are all about finding the best talent out there! Skills can be learned, and embracing diversity is invaluable. We believe driven talent deserves: * \uD83C\uDF1F An enticing equity plan that lets you own a piece of the action. * \uD83D\uDCAA Top-notch private health insurance to keep you at your peak. * \uD83C\uDF54 Monthly Glovo credit to satisfy your cravings! * \uD83D\uDCB3 Discounts on transportation, food, and even kindergarten expenses. * \uD83C\uDFCA Discounted gym memberships to keep you energized. * \uD83C\uDFD6️ Extra time off, the freedom to work from home two days a week, and the opportunity to work from anywhere for up to three weeks a year! * \uD83D\uDC6A Enhanced parental leave, and office-based nursery. * \uD83E\uDDE0 Online therapy and wellbeing benefits to ensure your mental well-being. Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds - all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [Linkedin](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)! ## Additional Information At Glovo, your success is defined by both results and behaviors. We hire for excellence in craft and for the Leadership Principles that shape how we think, decide, and collaborate. What you achieve matters and how you achieve it defines us. Together, they move the business forward and deliver great experiences. Learn more about our Leadership Principles[ here](https://careers.deliveryhero.com/leadership-principles). Here at Glovo, we thrive on diversity, we believe it enhances our teams, products, and culture. We know that the best ideas come from a mashup of brilliant diverse minds. This is why we are committed to providing equal opportunities to talent from all backgrounds – all genders, racial/diverse backgrounds, abilities, ages, sexual orientations and all other unique characteristics that make you YOU. We will encourage you to bring your authentic self to work, fostering an inclusive environment where everyone feels heard. Feel free to note your pronouns in your application (e.g., she/her/hers, he/him/his, they/them/theirs, etc). So, ready to take the wheel and make this the ride of your life? Delve into our culture by taking a peek at our [Instagram](https://www.instagram.com/lifeatglovo/) and check out our [LinkedIn](https://www.linkedin.com/company/glovo-app/) and [website](https://about.glovoapp.com/)!", "summaryDescription" : "Data Analyst - Quality & Fraud at Delivery Hero. Skills: Quality strategy, Fraud detection, Risk mitigation. Own and define global courier fraud strategy. Ensure consistent implementation", "postedDate" : "2026-06-15T11:42:30.000", "createdAt" : "2026-06-15T23:45:02.060", "lastUpdated" : "2026-06-16T10:14:01.602", "ingestTimestamp" : "2026-06-15T23:45:02.060", "mongoId" : "6a305640f292fd229cf264ef", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data-driven insights", "Detection frameworks", "Monitoring tools", "Analytical models", "Organized", "Obsessed with detail", "Quality strategy", "Fraud detection", "Risk mitigation", "Analytical skills", "Coding skills", "Problem-solving skills", "Business mindset", "Strategic vision", "Courier fraud", "GPS spoofing", "Account sharing", "Payment abuse", "BI platforms" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8d7c74d8ee00a09791d3", "title" : "Data Quality Engineer", "company" : "Gradera", "industry" : "AI Native - Delivery", "salary" : { "min" : 1850000.0, "max" : 2750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Quality Engineer in Hyderabad, India, adjusted for the technology industry and company size." }, "location" : "Hyderabad, India Office ", "locations" : [ "Hyderabad, India Office " ], "timestamp" : "2026-06-15T13:00:41.110", "fingerprint" : "15fbb2cdafb5e0770570b9f5661a2a7bdac3113e09ab8f0e6c03c6e76f886ed0", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/gradera/13c8109f-9ec9-4026-ba28-362313ca1ff8/application", "externalId" : "13c8109f-9ec9-4026-ba28-362313ca1ff8", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Delta Live Tables, Great Expectations, Databricks SQL, PySpark, Unity Catalog, Python, Delta Lake, Iceberg, Neo4j", "professionalSkills" : [ "Data profiling", "Root cause analysis", "Data governance" ], "hardSkillsList" : [ "Data validation", "Anomaly detection", "Statistical analysis" ], "hardSkills" : [ { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" } ], "majorSkills" : "Data quality, Data engineering, ML/AI platforms", "majorSkillsList" : [ "Data quality", "Data engineering", "ML/AI platforms" ], "coreResponsibilities" : "Design data quality frameworks, Implement data quality frameworks, Build automated validation pipelines, Enforce quality standards, Develop data profiling processes, Understand data distributions, Understand data patterns, Understand data anomalies, Define data quality metrics, Track data quality metrics, Implement anomaly detection mechanisms, Identify data drift, Identify quality degradation, Create quality dashboards, Create alerting systems, Collaborate with data engineers, Embed quality checks, Partner with data architects, Establish data quality standards, Establish governance policies, Investigate data quality issues, Perform root cause analysis, Document data quality rules, Document thresholds, Document remediation procedures, Support data certification processes, Drive continuous improvement", "teamCollaboration" : "Data engineers; Data architects; Cross-functional teams", "domainKnowledge" : "Digital twin platforms; Simulation platforms; Operational state data; Temporal consistency; Graph data; ML data quality; Industrial domains", "domainList" : [ "digital-twin-platforms", "simulation-platforms", "operational-state-data", "temporal-consistency", "graph-data", "ml-data-quality", "industrial-domains" ], "domainSpecificKnowledge" : [ "Digital twin platforms", "Simulation platforms", "Operational state data", "Temporal consistency", "Graph data", "ML data quality", "Industrial domains" ], "toolProficiency" : [ "Delta Live Tables", "Great Expectations", "Databricks", "Unity Catalog", "Neo4j" ], "documentationSkills" : "Document data quality rules; Document thresholds; Document remediation procedures", "problemSolvingSkills" : "Root cause analysis", "outcomesObjectives" : "Simulation-ready data products; ML-ready datasets", "qualificationsBasic" : "6+ years experience, 3+ years data quality, Data quality frameworks, Automated validation pipelines, Quality metrics, SQL proficiency, Python proficiency", "qualificationsPreferred" : "6+ years experience, 3+ years data quality, Enterprise-scale data quality frameworks, Lakehouse architectures, Real-time data quality monitoring, Agile, cross-functional teams, Data quality for digital twin, Simulation platforms, Operational state data validation, Temporal consistency checks, Graph data quality validation, ML data quality, Feature validation, Training data quality, Data observability platforms, Industrial domains experience", "rawDescription" : "ABOUT GRADERA Gradera defines a new category of enterprise transformation called Software-Orchestrated Services™ - where software orchestrates human expertise, digital workers, and enterprise systems to deliver governed outcomes at scale. As an AI Native Services firm, we help enterprises redesign how work gets done across operations, product, engineering, customer experience, data, and enterprise workflows to move beyond fragmented AI pilots and disconnected automation toward measurable business outcomes. OVERVIEW We are seeking a detail-oriented Data Quality Engineer to ensure the integrity, accuracy, and reliability of data powering our digital twin and AI platforms. You will design and implement data quality frameworks, build automated validation pipelines, and establish quality metrics that enable trusted, simulation-ready data products. This role is critical to ensuring that operational decisions and ML models are built on a foundation of high-quality, governed data. KEY RESPONSIBILITIES - Design and implement data quality frameworks using Delta Live Tables expectations and Great Expectations - Build automated data validation pipelines that enforce quality standards at ingestion and transformation stages - Develop data profiling processes to understand data distributions, patterns, and anomalies - Define and track data quality metrics (completeness, accuracy, consistency, timeliness, validity) - Implement anomaly detection mechanisms to identify data drift and quality degradation - Create quality dashboards and alerting systems for proactive issue identification - Collaborate with data engineers to embed quality checks into ETL/ELT pipelines - Partner with data architects to establish data quality standards and governance policies - Investigate and perform root cause analysis for data quality issues - Document data quality rules, thresholds, and remediation procedures - Support data certification processes for simulation-ready and ML-ready datasets - Drive continuous improvement in data quality practices and tooling OUR CORE DATA QUALITY STACK INCLUDES: Data Quality Frameworks - Delta Live Tables expectations for declarative quality enforcement - Great Expectations for comprehensive data validation - Databricks data profiling and quality monitoring Platform & Tools - Databricks SQL and PySpark for quality checks at scale - Unity Catalog for lineage tracking and governance compliance - Python for custom validation logic and anomaly detection OBSERVABILITY - Quality metrics dashboards and alerting - Data profiling and statistical analysis - Anomaly detection and drift monitoring PREFERRED QUALIFICATIONS - 6+ years of experience in data engineering or data quality roles, with 3+ years focused on data quality - Track record of implementing enterprise-scale data quality frameworks - Experience with Lakehouse architectures (Delta Lake, Iceberg) - Familiarity with real-time data quality monitoring for streaming pipelines - Experience working in agile, cross-functional teams HIGHLY DESIRABLE - Experience with data quality for digital twin or simulation platforms - Familiarity with operational state data validation and temporal consistency checks - Experience with graph data quality validation (Neo4j or similar) - Exposure to ML data quality (feature validation, training data quality) - Experience with data observability platforms - Exposure to industrial domains such as Manufacturing, Logistics, or Transportation is a plus", "summaryDescription" : "Data Quality Engineer at Gradera. Skills: Data quality, Data engineering, ML/AI platforms. Design data quality frameworks. Implement data quality frameworks", "createdAt" : "2026-06-13T23:13:08.257", "lastUpdated" : "2026-06-15T13:00:41.110", "ingestTimestamp" : "2026-06-13T23:13:08.257", "mongoId" : "6a2c8d7c74d8ee00a09791d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data validation", "Anomaly detection", "Statistical analysis", "Data quality", "Data engineering", "ML/AI platforms", "Data profiling", "Root cause analysis", "Data governance", "Digital twin platforms", "Simulation platforms", "Operational state data", "Temporal consistency", "Graph data", "ML data quality", "Industrial domains", "Delta Live Tables", "Great Expectations", "Databricks", "Unity Catalog", "Neo4j" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30655af292fd229cfa72d3", "title" : "Robotics Data Quality Engineer", "company" : "xdof", "industry" : "Robotics", "salary" : { "min" : 125000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Robotics Data Quality Engineer in San Mateo, United States, adjusted for the technology industry and company size." }, "location" : "San Mateo Hybrid", "locations" : [ "San Mateo Hybrid" ], "timestamp" : "2026-06-16T12:38:38.818", "fingerprint" : "71689cf59637a0353ba554dfc62238b9f3574f3a5077e7b3c41472a315f0d917", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/xdof/73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d/application", "externalId" : "73ac48fd-1c6d-4ff5-b16e-87c9f6ec382d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Mateo", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "37.4969040,-122.3330573" } ], "locationText" : "San Mateo, California, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Python, Numpy, Pandas, Matplotlib, Plotly, Protobuf, HDF5, ROS bags", "professionalSkills" : [ "Data validation", "Data visualization", "Schema design", "Data formats", "Root cause analysis" ], "hardSkillsList" : [ "Spatial transformations", "Time-series analysis", "Signal processing" ], "hardSkills" : [ { "name" : "Spatial transformations", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "Signal processing", "level" : "intermediate" } ], "majorSkills" : "Data quality, Robotics data, Data validation, Data pipelines", "majorSkillsList" : [ "Data quality", "Robotics data", "Data validation", "Data pipelines" ], "coreResponsibilities" : "Analyze robotics data, Identify quality issues, Plot joint velocities, Validate camera poses, Check gripper encoder accuracy, Flag anomalous collection sessions, Build automated validation pipelines, Design data formats, Document data formats, Design schemas, Document schemas, Ensure consistency, Ensure versioning, Build data visualization tools, Build dashboards, Validate cross-modal temporal alignment, Synchronize timestamps, Detect dropped frames, Detect clock drift, Define quality metrics, Define quality thresholds, Track data quality improvement, Track data quality degradation, Catalog edge cases, Catalog failure modes, Trace quality issues, Identify root cause", "teamCollaboration" : "Work with partners; Work with internal researchers; Work with data collection operators", "domainKnowledge" : "Robotics; 3D geometry; Coordinate frames; Spatial transformations; Physical systems; Teleoperation systems; Motion capture; Egocentric data collection; Signal processing; Sensor fusion; Time-series analysis; Data versioning; Schema migration; 0->1 environments", "domainList" : [ "robotics", "3d-geometry", "coordinate-frames", "spatial-transformations", "physical-systems", "teleoperation-systems", "motion-capture", "egocentric-data-collection", "signal-processing", "sensor-fusion", "time-series-analysis", "data-versioning", "schema-migration", "0-1-environments" ], "domainSpecificKnowledge" : [ "Robotics", "3D geometry", "Coordinate frames", "Spatial transformations", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Signal processing", "Sensor fusion", "Time-series analysis", "Data versioning", "Schema migration", "0->1 environments" ], "documentationSkills" : "Document data formats; Document schemas", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's or Master's degree, Python data skills, Comfort working with large datasets, Solid understanding of 3D geometry, Solid understanding of coordinate frames, Solid understanding of spatial transformations, Intuition for physical systems", "qualificationsPreferred" : "Hands-on experience with robotics data, Experience with teleoperation systems, Experience with motion capture, Experience with egocentric data collection, Experience with signal processing, Experience with sensor fusion, Experience with time-series analysis, Built internal data visualization tools, Worked on data versioning, Worked on data lineage tracking, Worked on schema migration, Comfortable working in 0->1 environments, Mission-driven, Passionate about robotics", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At xdof, we’re at an inflection point. Frontier labs are racing to build general-purpose robots, and high-quality training data is the bottleneck. We’re building the foundation behind the foundation models – the data collection systems, operational capability, exabyte-scale data warehouse, and software toolchain – to help our partners drive the field forward. The models are only as good as the data. We’re looking for a Robotics Data Quality Engineer to be the person who knows whether our data is trustworthy, across every modality we collect. You’ll analyze, validate, and build tooling around data from teleoperation on real hardware, egocentric capture, UMI-style grippers, and more. If something is wrong with the data, you’re the first to catch it and the one who helps us fix the process. What You’ll Do Data quality engineers are the bridge between raw collection and usable training data. Sample projects include: - analyzing robotics data across modalities to identify quality issues: plotting joint velocities, validating camera poses, checking gripper encoder accuracy, and flagging anomalous collection sessions - building automated validation pipelines that run on ingestion and catch problems before data enters the warehouse - designing and documenting data formats and schemas across collection modalities, ensuring they are consistent, versioned, and well-understood by partners and internal researchers - building data visualization tools and dashboards so the broader team can inspect and understand the data without writing custom scripts - validating cross-modal temporal alignment, including timestamp synchronization, dropped frame detection, and clock drift across camera, joint, and gripper streams - defining quality metrics and thresholds per modality and tracking whether data quality is improving or degrading as collection scales - cataloging edge cases and failure modes into a shared taxonomy so the team has a common language for data issues - working closely with data collection operators to trace quality issues back to their root cause, whether systemic (hardware calibration, sensor drift) or operator-specific About You Baseline skills: - bachelor’s or master’s degree (or equivalent experience) in robotics, computer science, mechanical engineering, or a related field - strong Python data skills (numpy, pandas, matplotlib or plotly) and comfort working with large, messy datasets - solid understanding of 3D geometry, coordinate frames, and spatial transformations - intuition for physical systems: you can look at a trajectory or a joint velocity plot and tell when something is off - experience designing or working with structured data formats (protobuf, HDF5, ROS bags, or similar) You might be a good fit if you: - have hands-on experience with robotics data, whether from a research lab, a robotics startup, or a manipulation/locomotion project - have worked with teleoperation systems, motion capture, or egocentric data collection - have experience with signal processing, sensor fusion, or time-series analysis - have built internal data visualization tools or dashboards for technical teams - have worked on data versioning, lineage tracking, or schema migration in a production setting - are very comfortable working in 0→1 environments - are mission-driven and passionate about robotics: work at xdof is fast-paced and constant. We hope you love what you’re going to be doing, because you’ll be doing a lot of it!", "summaryDescription" : "Robotics Data Quality Engineer at xdof. Skills: Data quality, Robotics data, Data validation, Data pipelines. Analyze robotics data. Identify quality issues", "createdAt" : "2026-06-16T00:28:18.617", "lastUpdated" : "2026-06-16T12:38:38.818", "ingestTimestamp" : "2026-06-16T00:28:18.617", "mongoId" : "6a30655af292fd229cfa72d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125000, "salaryAnnualMax" : 175000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Spatial transformations", "Time-series analysis", "Signal processing", "Data quality", "Robotics data", "Data validation", "Data pipelines", "Data visualization", "Schema design", "Data formats", "Root cause analysis", "Robotics", "3D geometry", "Coordinate frames", "Physical systems", "Teleoperation systems", "Motion capture", "Egocentric data collection", "Sensor fusion", "Data versioning", "Schema migration", "0->1 environments" ], "skillCount" : 22, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69dde3e52beec4dd3d9a03fa", "title" : "Data Analysis and Quality Assurance Director", "company" : "Texas Workforce Commission", "industry" : "Government", "salary" : { "min" : 155000.0, "max" : 220000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Director of Data Analysis and Quality Assurance in Austin, Texas, adjusted for government industry and seniority." }, "location" : "826770", "locations" : [ "826770", "
Austin:1117 Trinity St (320TX-4002)
1117 Trinity St
Austin, 78701-1919

" ], "timestamp" : "2026-06-15T08:50:23.902", "fingerprint" : "59540f617c815fc9a9369d5c690638b92eadeb9abb68f7061cbad208bee2e008", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34107", "externalId" : "34107", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Austin", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "30.2711286,-97.7436995" } ], "locationText" : "Austin, Texas, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Strategic planning", "Policy development", "Data analysis", "Reporting", "Quality assurance", "Process improvement", "Forecasting", "Modeling" ], "hardSkillsList" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "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" }, { "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" } ], "majorSkills" : "Data analysis, Quality assurance, Data engineering, Machine learning", "majorSkillsList" : [ "Data analysis", "Quality assurance", "Data engineering", "Machine learning" ], "coreResponsibilities" : "Direct data reporting and analysis activities, Develop techniques for analyzing and reporting data, Remain compliant with state and federal rules, Develop and establish goals and objectives, Provide direction, guidance, and assistance in developing reports, Provide direction, guidance, and assistance in collecting data, Review and approve reports, Review and approve data collection, Review and approve analysis, Ensure accuracy of reports, Ensure quality reports are distributed, Review guidelines, procedures, rules, Monitor compliance related to contract and procurement databases, Make recommendations to improve data collection, Make recommendations to improve data analysis, Plan, develop, and approve schedules, Plan, develop, and approve priorities, Plan, develop, and approve standards, Review results of special investigations, Review results of internal audits, Review results of research studies, Review results of forecasts, Review results of modeling exercises, Provide direction and guidance, Perform advanced managerial work, Provide direction and guidance in strategic operations, Provide direction and guidance in planning, Establish goals and objectives, Respond to audit requests, Develop guidelines, procedures, policies, rules, and regulations, Develop schedules, priorities, and standards, Coordinate data collection, Coordinate reporting, Coordinate quality, Evaluate data collection, Evaluate reporting, Evaluate quality, Develop data reports, Develop policies and procedures for producing quality reports, Develop policies and procedures for maintaining data integrity, Plan work of others, Assign work of others, Supervise work of others", "teamCollaboration" : "Cross-functional teams; Internal audits; External audits", "projectManagementSkills" : [ "Strategic planning", "Policy development", "Roadmap planning" ], "domainKnowledge" : "Procurement; Contract management; State data reporting; Federal regulations", "domainList" : [ "procurement", "contract-management", "state-data-reporting", "federal-regulations" ], "domainSpecificKnowledge" : [ "Procurement", "Contract management", "State data reporting", "Federal regulations" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Executive presentations; Technical documentation; Client meetings", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Innovative ideas; Streamline processes", "problemSolvingSkills" : "Problem solver; Root cause analysis; Data-driven decision making", "specialRequirements" : "Texas resident required, Relocate to Texas required", "outcomesObjectives" : "Ensure departmental processes are impartial; Ensure departmental processes are transparent; Ensure departmental processes are professional; Acquisitions of program services for the State", "qualificationsBasic" : "Five years of experience in oversight and direction of an agency or in strategic planning and policy development and implementation, Two years of experience in administrative management or supervisory capacity, Two years of experience in data collection and analysis, One year experience in management and direction of staff relevant to data collection and analysis, Experience with state data reporting and analysis", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analysis and Quality Assurance (DAQA) Director Who We Are: Texas Workforce Commission connects people with careers across the state. We are based in Austin on the east side of the Texas State Capitol, in the Business Operations Division located at 1117 Trinity Street in Austin. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas. You must be a Texas resident to work for the Texas Workforce Commission or willing to relocate to Texas. Who You Are: A self-starting, motivated, collaborative problem solver who understands the value of data analysis in measurement of procurement and contract related activities for the Procurement and Contract Services Department. You should share our department’s mission to provide excellent customer service and ensure that departmental processes are impartial, transparent, and professional. You should be innovative and open to new ideas to streamline existing processes. We strive to ensure that acquisitions of program services are conducted with the best outcome for the State in mind. What you Will Do: The Data Analysis and Quality Assurance (DAQA) Director: -Directs data reporting and analysis activities. -Develops and implements techniques for analyzing and reporting data in meaningful ways and remains compliant with state and federal rules and regulations. -Develops and establishes goals and objectives consistent with the agency policy and procedure. -Provides direction, guidance, and assistance in developing reports and collecting data related to contracts and procurement. -Reviews and approves reports, data collection and analysis, and ensures accuracy and that quality reports are distributed. -Reviews guidelines, procedures, rules, and regulations; and monitors compliance related to contract and procurement databases. -Makes recommendations to improve data collection and analysis. -Plans, develops, and approves schedules, priorities, and standards for achieving goals. -Reviews results of special investigations, internal audits, research studies, forecasts, and modeling exercises to provide direction and guidance. -Performs advanced (senior-level) managerial work providing direction and guidance in strategic operations and planning. Works under minimal supervision, with extensive latitude for the use of initiative and independent judgment. You Will be Trusted To: -Establish goals and objectives. -Respond to audit requests from internal and external entities. -Develop guidelines, procedures, policies, rules, and regulations. -Develop schedules, priorities, and standards for achieving established goals. -Coordinate and evaluate data collection, reporting, and quality. -Develop and evaluate data reports and policies and procedures for producing quality reports and maintaining data integrity. -Plan, assign, and supervise the work of others. -Work under limited supervision, with considerable latitude for the use of initiative and independent judgment. -Performs other duties as assigned. You Qualify With: -Five years of full-time experience in the oversight and direction of an agency program; or in strategic planning and policy development and implementation, two years of which must have been in an administrative management or supervisory capacity. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -A minimum of two years’ experience in data collection and analysis. -One year experience in the management and direction of staff relevant to data collection and analysis. -Experience with state data reporting and analysis. You Gain: -A Family Friendly Certified Workplace. -Competitive starting salary: $9,166.67 to $9,583.34/month, depending on experience -Defined Retirement Benefit Plan -Optional 401(k) and 457 accounts -Medical Insurance -Paid time off, including time for vacation, sick and family care leave -Additional benefits for active employees can be found at https://www.ers.texas.gov/Active-Employees/Health-Benefits. VETERANS: Use your military skills to qualify for this position or other jobs! Go to www.texasskillstowork.com to translate your military work experience and training courses into civilian job terms, qualifications, and skill sets. Also, you can compare this position to military occupations (MOS) at the Texas State Auditor's Office by pasting this link into your browser: https://hr.sao.texas.gov/Compensation/MilitaryCrosswalk/MOSC_ProgramManagement.pdf HOW TO APPLY: To be considered, please complete a State of Texas Application for Employment and apply online at www.workintexas.com or on Taleo ( Job Search ). TWC is not considering applications from individuals who require sponsorship for an employment visa, including those with H1B visas or those currently on student or postgraduate visas In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. A position utilizing this classification will be designated as security sensitive according to the Texas Labor Code, Section 301.042. United States-Texas-Austin", "summaryDescription" : "Data Analysis and Quality Assurance Director at Texas Workforce Commission. Skills: Data analysis, Quality assurance, Data engineering, Machine learning. Direct data reporting and analysis activities. Develop techniques for analyzing and reporting data", "createdAt" : "2026-06-14T01:12:18.507", "lastUpdated" : "2026-06-15T08:50:23.902", "ingestTimestamp" : "2026-06-14T01:12:18.507", "mongoId" : "69dde3e52beec4dd3d9a03fa", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 220000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Data analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Quality assurance", "Data engineering", "Machine learning", "Strategic planning", "Policy development", "Reporting", "Process improvement", "Forecasting", "Modeling", "Roadmap planning", "Procurement", "Contract management", "State data reporting", "Federal regulations", "Dbt Cloud" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f2df292fd229c055eac", "title" : "Staff Data Scientist, Discover Personalization and Quality", "industry" : "Technology", "salary" : { "min" : 225000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Staff Data Scientist in Mountain View, CA, adjusted for the technology industry and a large company size." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "[New York, NY, USA, [New York, NY, USA], New York, null, NY, US]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:46:29.512", "fingerprint" : "1b753ce697dfd232a32fa54cf67500ba9977d28e7d9b8f4f918c6432c0ce4afb", "source" : "google", "language" : "en", "externalId" : "92402841288614598", "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", "technicalSkills" : "Python, SQL, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Experiment design", "Causal inference" ], "hardSkillsList" : [ "Data science", "Machine learning", "Statistical modeling", "Experimentation", "Causal inference" ], "hardSkills" : [ { "name" : "Data science", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimentation", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Machine learning, Data science, Personalization, Quality", "majorSkillsList" : [ "Machine learning", "Data science", "Personalization", "Quality" ], "coreResponsibilities" : "Develop and deploy machine learning models, Design and implement experiments, Analyze data to identify trends, Build and maintain data pipelines, Collaborate with engineering teams, Communicate findings to stakeholders, Mentor junior data scientists", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Stakeholders", "domainKnowledge" : "Personalization systems; Data quality frameworks; Recommendation engines; User behavior analysis", "domainList" : [ "personalization-systems", "data-quality-frameworks", "recommendation-engines", "user-behavior-analysis" ], "domainSpecificKnowledge" : [ "Personalization systems", "Data quality frameworks", "Recommendation engines", "User behavior analysis" ], "toolProficiency" : [ "Python", "SQL", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Technical presentations; Data storytelling", "documentationSkills" : "Technical documentation; Model documentation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Analytical thinking", "outcomesObjectives" : "Improve personalization algorithms; Enhance data quality; Drive product innovation", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "summaryDescription" : "Staff Data Scientist, Discover Personalization and Quality. Skills: Machine learning, Data science, Personalization, Quality. Develop and deploy machine learning models. Design and implement experiments", "postedDate" : "2026-06-16T01:48:49.459", "createdAt" : "2026-06-16T01:48:49.459", "lastUpdated" : "2026-06-16T10:46:29.512", "ingestTimestamp" : "2026-06-16T01:48:49.459", "mongoId" : "6a307f2df292fd229c055eac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 225000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data science", "Machine learning", "Statistical modeling", "Experimentation", "Causal inference", "Personalization", "Quality", "Data modeling", "Statistical analysis", "Experiment design", "Personalization systems", "Data quality frameworks", "Recommendation engines", "User behavior analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Python", "SQL", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "skillCount" : 36, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb07074d8ee00a09d9f64", "title" : "Data Quality Assurance Administrator", "company" : "Miovision", "industry" : "Studies", "salary" : { "min" : 19.0, "max" : 20.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Canada Remote", "locations" : [ "Canada Remote" ], "timestamp" : "2026-06-15T08:08:23.169", "fingerprint" : "fc58bf3e7cf9b6a42d6888bcfbf8419b9a7d7089f95d07b3c99d9c02c58b486b", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/miovision/7a5f680a-d92f-4f40-9e88-ba1328f06f8e/application", "externalId" : "7a5f680a-d92f-4f40-9e88-ba1328f06f8e", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Canada", "employmentType" : "FULL_TIME", "technicalSkills" : "Google Workspace, Google Docs, Google Sheets, Google Slides", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Data analysis", "Visual inspection", "Task assignment" ], "softSkillsList" : [ "Feedback champion" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Visual inspection", "level" : "intermediate" }, { "name" : "Task assignment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Feedback champion" } ], "majorSkills" : "Data quality assurance, Customer communication, Process configuration", "majorSkillsList" : [ "Data quality assurance", "Customer communication", "Process configuration" ], "coreResponsibilities" : "Configure studies, Define actionable tasks, Conduct quality checks, Meet accuracy standards, Meet customer requirements, Review study configurations, Validate study configurations, Identify potential issues, Communicate study hold notes, Communicate study updates, Set realistic expectations, Clarify adjustments, Propose solutions, Assign re-configuration tasks, Escalate complex cases, Publish completed studies, Participate in team discussions, Participate in special projects, Bring fresh insights, Bring suggestions, Resolve discrepancies, Share knowledge", "teamCollaboration" : "Cross-functional collaboration; Production leads; Support specialists; Other teams", "domainKnowledge" : "Intelligent mobility; Traffic AI; Traffic signal planning; Traffic operations; Transportation networks; Infrastructure decisions", "domainList" : [ "intelligent-mobility", "traffic-ai", "traffic-signal-planning", "traffic-operations", "transportation-networks", "infrastructure-decisions" ], "domainSpecificKnowledge" : [ "Intelligent mobility", "Traffic AI", "Traffic signal planning", "Traffic operations", "Transportation networks", "Infrastructure decisions" ], "toolProficiency" : [ "Google Workspace" ], "communicationSkills" : "Customer communication; Study hold notes; Study updates", "continuousLearning" : "Continuous growth; Staying curious; Building mastery; Embracing challenges", "problemSolvingSkills" : "Proactive problem solving; Identify potential issues; Propose clever solutions", "outcomesObjectives" : "Ensure data accuracy; Ensure customer requirements; Publish flawless studies; Boost efficiency; Elevate quality", "qualificationsBasic" : "Spatial awareness, Proficient with Google suite, Process-driven mindset", "qualificationsPreferred" : "Data enthusiast, Map enthusiast", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Miovision: At Miovision, we’re unlocking transportation networks that move you. Our vision and mission is to enable smart, fast, safe communities that simply flow, as we drive the Intelligent Mobility Revolution. Backed by the world’s most advanced traffic AI, Miovision’s innovations in traffic signal planning and operations are making it possible for cities to improve the transportation experience for drivers, cyclists and pedestrians. Our values drive us. They’re at the core of everything we do. If they align with yours, proceed through the GREEN light! - All in to win: We're driven by a winning mindset, approaching every challenge with intensity, clarity, and speed. - One Miovision: We succeed as one team, uniting diverse talents, building on trust, and putting our shared mission before ego. - Be better every day: We're committed to continuous growth, staying curious, building mastery, and embracing challenges as learning opportunities. - Make it happen: We are proactive and results-driven, taking ownership, acting with urgency, and focusing on solutions that deliver real impact. - Earn the customer: We are deeply customer-centric, focused on earning our customers' partnership every day by delivering exceptional experiences that drive their success. Position Summary: At Miovision, we are engineering the future of smart transportation, but to keep global traffic flowing smoothly, we need a sharp Data Quality Assurance Administrator to manage our data intersections. Engineers and transportation professionals around the world rely on our traffic studies to make massive infrastructure decisions, and you will be the ultimate quality checkpoint ensuring those studies don't hit any roadblocks. Before our data hits the fast lane, you will perform thorough visual inspections, interpret complex customer requirements, and navigate system limitations to spot any setup collisions. If you are ready to merge your keen eye for detail with proactive customer communication and keep our completed studies cruising at top speed, buckle up! Objectives and Responsibilities: - Precision Processing: Follow established procedures to perfectly configure studies and define clear, actionable tasks for accurate processing. - Quality First: Conduct rigorous quality checks to ensure all data strictly meets our high accuracy standards and exact customer requirements. - Proactive Problem Solving: Review and validate study configurations, proactively identifying potential issues before they escalate, and collaborating closely with production leads and support specialists. - Clear Communication: Confidently communicate study hold notes and updates directly to customers, setting realistic expectations, clarifying adjustments, and proposing clever solutions. - Task Management: Effectively assign re-configuration tasks, escalate complex cases when necessary, and successfully publish completed, flawless studies. - Continuous Improvement: Actively participate in team discussions and special projects, bringing fresh insights and suggestions to the table to boost efficiency and elevate quality. - Cross-Functional Collaboration: Work seamlessly with other teams to resolve discrepancies, share knowledge, and build a stronger, more aligned operation. The Ideal Profile: - Spatially Gifted: You possess strong spatial awareness and can easily visualize complex configurations and physical spaces. - Data & Map Enthusiast: You genuinely geek out over mapping, data analysis, and turning raw information into reliable, highly accurate insights. - Google Workspace Wizard: You are highly proficient with the Google suite—Docs, Sheets, and Slides are essentially your second language. - Process-Driven: You thrive in structured environments, love following a reliable process, and are always looking for ways to optimize how things get done. - A True Team Player: You are deeply team-oriented, highly engaged in group discussions around continuous improvement, and always ready to support your peers. - Feedback Champion: You believe that feedback is a gift—you both give and receive constructive feedback with grace, professionalism, and a genuine desire to grow. Your Rewards & Well-being: We invest in our team with benefits designed for modern life and true work-life balance. - Comprehensive Coverage: Your well-being is covered from day one with comprehensive health benefits, 24/7 virtual healthcare access, and dedicated wellness programs. - Financial Future: Build for tomorrow with our RRSP/401K Matching Plan and share in the company's success through our Variable Incentive Plan. - Time to Recharge: Truly unplug with our unique Mio-Days and flexible vacation policy. - Work & Life Support: We support you with flexible work options, an internet subsidy, a remote work allowance, and enhanced leave for new parents. Sound like your next adventure? Apply now and let's start building together! We are an equal opportunity employer and value diversity at our company. We do not discriminate on the basis of race, religion, colour, national origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Please indicate if you require accommodation on your application, and our team will work with you to meet your accessibility needs. Miovision may use artificial intelligence (AI) to assist in the hiring process for tasks such as helping to identify qualified candidates, taking meeting notes, creating summaries, and streamlining administrative work. These tools are one of several factors considered in the hiring process and do not replace human judgement. We do not use AI to make any final hiring or interview decisions. PLEASE BE AWARE OF FRAUD: Applicants interested in applying for roles at Miovision should apply directly via the details provided on our careers page. We communicate directly with applicants and will not request banking information, payment, or fees during any point of the recruitment process. We do not conduct interviews via text message. If you suspect that a third party is impersonating Miovision or requesting payment for recruitment on behalf of Miovision, please alert us via recruitment@miovision.com. To all recruitment agencies: Miovision does not accept agency solicitation or resumes. Please do not forward resumes to our HR alias e-mail address, to any Miovision employee, or to other Miovision e-mail addresses. Miovision will not pay any fees related to unsolicited resumes.", "summaryDescription" : "Data Quality Assurance Administrator at Miovision. Skills: Data quality assurance, Customer communication, Process configuration. Configure studies. Define actionable tasks", "createdAt" : "2026-06-14T05:04:05.364", "lastUpdated" : "2026-06-15T08:08:23.169", "ingestTimestamp" : "2026-06-14T05:04:05.364", "mongoId" : "6a2cb07074d8ee00a09d9f64", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Visual inspection", "Task assignment", "Feedback champion", "Data quality assurance", "Customer communication", "Process configuration", "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement", "Intelligent mobility", "Traffic AI", "Traffic signal planning", "Traffic operations", "Transportation networks", "Infrastructure decisions", "Google Workspace" ], "skillCount" : 21, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69c94a879bc74574cbbb509d", "title" : "Data Quality Specialist - French, AGI Data Services", "company" : "Evi Technologies Limited", "industry" : "Editorial, Writing, Content Management, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the UK market baseline for a Mid-level Data Quality Specialist in the Technology industry in London, with adjustments for company size and specific role requirements." }, "location" : "London, England, GBR", "locations" : [ "London, England, GBR" ], "timestamp" : "2026-06-15T05:12:03.475", "fingerprint" : "0dd2168ee4dbf2b5289bed39b8f28b29684ec2c63b32e46e6407d871c022dd36", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3199930/apply", "externalId" : "d2f14c38-c7a2-4a3b-acbd-f92857a2c9a1", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "professionalSkills" : [ "Quality strategies", "Metric analysis", "Workflow enhancement" ], "hardSkillsList" : [ "Data patterns", "Data trends" ], "hardSkills" : [ { "name" : "Data patterns", "level" : "intermediate" }, { "name" : "Data trends", "level" : "intermediate" } ], "majorSkills" : "Quality frameworks, Process documentation", "majorSkillsList" : [ "Quality frameworks", "Process documentation" ], "coreResponsibilities" : "Define quality metrics, Implement quality metrics, Create prescriptive actions, Partner to optimize workflow quality, Conduct side-by-sides, Identify opportunities for workflow enhancement, Identify opportunities for quality improvements, Analyze data trends, Develop solutions, Monitor quality performance, Coach operations teams, Create quality metrics reports, Maintain quality metrics reports, Handle customer escalations, Provide recommendations, Evaluate quality tools, Suggest improvements for quality tools, Support process documentation, Support process implementation", "teamCollaboration" : "Collaboration with customers; Collaboration with CPMs; Feedback loop between operations and customers; Partner with operations; Partner with internal support teams", "projectManagementSkills" : [ "Project management skills" ], "domainKnowledge" : "Quality frameworks; Operational excellence", "domainList" : [ "quality-frameworks", "operational-excellence" ], "domainSpecificKnowledge" : [ "Quality frameworks", "Operational excellence" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Root cause analysis", "qualificationsBasic" : "Bachelor's degree or equivalent, Advanced-level proficiency in French language (C1+), Knowledge of advanced English at CEFR C1", "qualificationsPreferred" : "Experience with project management skills, Ability to thrive in a fast-paced environment, Experience in stakeholder management, Dealing with multiple stakeholders at varied levels", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities * Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - Advanced-level proficiency in French language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - Knowledge of advanced English at CEFR C1 Preferred Qualifications: - Experience with strong project management skills and the ability to thrive in a fast-paced environment - Experience in stakeholder management, dealing with multiple stakeholders at varied levels of the organization 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. 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" : "Data Quality Specialist - French, AGI Data Services at Evi Technologies Limited. Skills: Quality frameworks, Process documentation. Define quality metrics. Implement quality metrics", "postedDate" : "2026-06-13T10:16:12.691", "createdAt" : "2026-06-13T10:16:12.691", "lastUpdated" : "2026-06-15T05:12:03.475", "ingestTimestamp" : "2026-06-13T10:16:12.691", "mongoId" : "69c94a879bc74574cbbb509d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3199930/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data patterns", "Data trends", "Quality frameworks", "Process documentation", "Quality strategies", "Metric analysis", "Workflow enhancement", "Project management skills", "Operational excellence" ], "skillCount" : 9, "jobCategory" : "engineering", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a210e2074d8ee00a0af5d5b", "title" : "Data and AI Consultant", "industry" : "Consulting", "location" : "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]", "locations" : [ "[Johannesburg, South Africa, [222, 216 Rahima Moosa St, Johannesburg, 2001, South Africa], Johannesburg, 2001, GP, ZA]" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:09:43.961", "fingerprint" : "ce5f54c24f1d83855c92bcc25d7de6eb92fe29ce03d92b75ad978f7e88ee4e1a", "source" : "google", "language" : "en", "externalId" : "122332690157314758", "industryFunction" : { }, "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" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkillsList" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, AI, Machine Learning, Data Engineering", "majorSkillsList" : [ "Data Science", "AI", "Machine Learning", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data science solutions, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage business intelligence dashboards, Analyze complex datasets, Provide insights and recommendations, Collaborate with stakeholders, Stay updated on industry trends", "teamCollaboration" : "Cross-functional teams; Client stakeholders", "domainKnowledge" : "Cloud-native architecture; Distributed systems", "domainList" : [ "cloud-native-architecture", "distributed-systems" ], "domainSpecificKnowledge" : [ "Cloud-native architecture", "Distributed systems" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Client presentations; Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years of experience in data science, Proficiency in SQL, Bachelor's degree in Statistics, Computer Science, Mathematics, or related field", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "summaryDescription" : "Data and AI Consultant. Skills: Data Science, AI, Machine Learning, Data Engineering. Develop and implement data science solutions. Build and maintain data pipelines", "postedDate" : "2026-06-16T01:48:00.642", "createdAt" : "2026-06-16T01:48:00.642", "lastUpdated" : "2026-06-16T11:09:43.961", "ingestTimestamp" : "2026-06-16T01:48:00.642", "mongoId" : "6a210e2074d8ee00a0af5d5b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data modelling", "ETL processes", "Data warehousing", "Cloud computing", "A/B testing", "Causal inference", "Data Science", "AI", "Machine Learning", "Data Engineering", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Cloud-native architecture", "Distributed systems", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c957a74d8ee00a098d2de", "title" : "CRM and Data Manager", "company" : "DIM Brands International", "industry" : "Retail", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager in Retail in Rueil-Malmaison, France, adjusted for seniority and company size." }, "location" : "DIM", "locations" : [ "DIM" ], "timestamp" : "2026-06-15T10:19:28.809", "fingerprint" : "f05a02a872fa9bbf998c777d4bd011e4d6e7f569d770000a0b2c45630039132c", "source" : "greenhouse", "language" : "fr", "applyUrl" : "https://job-boards.greenhouse.io/dim/jobs/8002978", "externalId" : "8002978", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Rueil-Malmaison", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "48.8777800,2.1802832" } ], "locationText" : "Rueil-Malmaison, France", "employmentType" : "FULL_TIME", "experienceLevel" : "Manager", "technicalSkills" : "CRM, Data management, Customer Data Platform, IA", "professionalSkills" : [ "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization" ], "hardSkillsList" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management" ], "hardSkills" : [ { "name" : "Data quality monitoring", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "KPI reporting", "level" : "intermediate" }, { "name" : "Customer service management", "level" : "intermediate" } ], "majorSkills" : "CRM, Data Management, Customer Experience, Team Leadership", "majorSkillsList" : [ "CRM", "Data Management", "Customer Experience", "Team Leadership" ], "coreResponsibilities" : "Pilot engagement plans, Pilot retention plans, Pilot satisfaction plans, Supervise campaign implementation, Supervise customer journeys, Supervise activation scenarios, Coordinate CRM program redesign, Coordinate CRM program optimization, Ensure targeting relevance, Ensure database exploitation, Monitor data quality, Identify data anomalies, Track performance, Update key dashboards, Report regularly to management, Share best practices, Share campaign results, Manage collaborators daily, Help collaborators upskill, Track collaborator planning, Resolve daily issues, Supervise European customer service, Optimize response processes, Ensure tool configuration", "teamCollaboration" : "IT teams; E-commerce teams; Retail teams; European countries", "domainKnowledge" : "Retail; E-commerce", "domainList" : [ "retail", "e-commerce" ], "domainSpecificKnowledge" : [ "Retail", "E-commerce" ], "toolProficiency" : [ "Klaviyo", "Gladly" ], "innovationCreativity" : "Propose new ideas; Propose new tools", "problemSolvingSkills" : "Identify anomalies; Resolve issues", "outcomesObjectives" : "Measure action impact", "qualificationsBasic" : "8 to 10 years experience, Management experience, Comfortable with numbers, Understand database functioning, Rigorous, Proficient in campaign management tools, Proficient in customer service tools, Fluent English", "qualificationsPreferred" : "Retail or e-commerce experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "DIM Brands International (DBI) est un fabricant et distributeur éco-responsable de sous-vêtements des marques parmi les plus fortes au monde (DIM, Nur Die, Lovable, La Senza...) pour toute la famille. DIM est le leader du marché en France et la marque préférée des consommateurs français (Étude OpinionWay – 1059 répondants – février 2025), Nur Die est le leader du marché en Allemagne dans le segment des produits de consommation, Lovable est un solide second sur le marché italien de la lingerie et La Senza est une marque canadienne emblématique de sous-vêtements. Les produits DIM sont distribués en Omnicanalité (GMS, Ecommerce et Boutiques DIM). Fondée en 1960, DBI a une longue tradition d'innovation et d'excellence. En 2022, l'entreprise a retrouvé son indépendance et entend accélérer sa croissance en s'appuyant sur une stratégie claire basée sur quatre axes : le développement de ses marques phares, un solide programme d'innovations produits, une stratégie omnicanale forte et un programme d'excellence opérationnelle continue. \"Simplification and Scale\" est notre devise stratégique. Notre ambition est d'ouvrir un nouveau cycle de croissance rentable et de réaliser le plein potentiel mondial de la marque DIM. Le siège de DBI est situé à Rueil-Malmaison, près de Paris, avec des filiales dans toute l'Europe (DACH, Italie, Ibérie, Europe de l'Est, Canada) et des distributeurs au Moyen-Orient, en Asie et en Afrique. Son centre d'approvisionnement (fabrication et logistique) est basé à Autun, en Bourgogne, où plus de 5 milliards de collants ont été produits depuis la création de DIM ! De plus, nous sommes profondément engagés dans une stratégie dynamique ESG, structurée autour de 3 piliers : Planète, Produit, Personnes. Par exemple, la marque DIM est neutre en CO2 scope 1&2, grâce à un mix de réduction et de capture des émissions. Dans ce contexte, la direction e-commerce recrute un CRM and Data Manager en CDI. Contexte & Enjeux Sous la responsabilité de la Directrice E-commerce, vous pilotez les plans d'actions d’engagement, de fidélisation et de satisfaction client de nos différentes marques (Dim, Playtex, Abanderado, Lovable….). Le poste est basé en France (siège), d'où vous coordonnez le périmètre européen. À la tête d'une équipe de 2 personnes (un(e) Responsable CRM et un(e) Responsable Service Client), et en étroite collaboration avec les équipes IT, E-commerce et Retail, vous veillez à la cohérence de l'expérience client depuis le premier contact jusqu'au service après-vente. Manager de proximité, vous aimez le travail en équipe et apportez votre soutien opérationnel à vos collaborateurs en maîtrisant les outils du quotidien. Vos Missions Animation & Déploiement CRM / Fidélisation Superviser et accompagner la mise en œuvre opérationnelle des campagnes, des parcours clients (approche omnicanale) et des scénarios d'activation. Coordonner les projets de refonte ou d'optimisation des programmes CRM pour nos marques en Europe, en lien avec les équipes IT, E-commerce et Retail. Garantir la pertinence des ciblages et la bonne exploitation de la base de données clients (Customer Data Platform) en collaboration avec l'IT. Amélioration continue : Assurer une veille sur les bonnes pratiques du marché et proposer de nouvelles idées ou outils simples (nouveaux canaux, IA d'aide à la rédaction, etc.) pour moderniser nos pratiques. Faire évoluer le programme de fidélité de DIM France et optimiser les scénarios d’automation. Suivi des données & Reporting Suivi de la qualité de la donnée : vous comprenez les flux de données pour repérer les anomalies simples (problèmes d'import, écarts de chiffres, bugs outils) et faites le lien avec les équipes IT pour leur résolution. Suivre la performance : Suivre et mettre à jour les dashboards clés (KPIs d'engagement, conversion, rétention, NPS) pour mesurer l'impact des actions. Partage des résultats : Assurer un reporting régulier auprès de la direction et des pays pour partager les bonnes pratiques et les résultats des campagnes. Management, Support Outils & Service Client Manager et accompagner au quotidien vos 2 collaborateurs : vous les aidez à monter en compétences, suivez leur planning et débloquez avec eux les sujets du quotidien sur les outils (Klaviyo, Gladly, etc.). Superviser le Service Client européen (géré opérationnellement par votre collaborateur), en l'aidant à optimiser les process de réponse et à s'assurer du bon paramétrage de l'outil de ticketing. Profil recherché Expérience : 8 à 10 ans d'expérience en CRM, marketing relationnel ou expérience client, idéalement dans l'univers du retail ou du e-commerce. Management & Posture : Vous avez une première expérience de management et un tempérament de \"facilitateur\". Vous aimez être proche de votre équipe et l'aider concrètement sur le terrain. Sensibilité Tech & Data : Vous êtes à l'aise avec les chiffres et comprenez le fonctionnement d'une base de données. Vous êtes rigoureux(se) et savez repérer quand \"un chiffre ne colle pas\" dans un outil. Compétences outils : Vous avez une bonne maîtrise pratique des outils de gestion de campagne (idéalement Klaviyo) et de service client (Gladly ou équivalent). Qualités personnelles : Forte orientation client, rigueur, bon relationnel pour travailler avec des interlocuteurs variés (IT, Retail, pays). Langues : Anglais courant indispensable pour échanger avec nos interlocuteurs internes et prestataires. Le poste est basé à Rueil-Malmaison dans des locaux au bord de la Seine. Life @DIM : Les collaborateurs sont mis au cœur de la stratégie de l’entreprise, ce qui vous permet d'obtenir les avantages suivants : Évoluer au sein d’un environnement stimulant parmi une équipe jeune et dynamique, et relever de nouveaux défis chaque jour Profiter du restaurant d'entreprise Avoir accès aux ventes organisées par le CE et 30% de réduction sur les produits de nos boutiques et sites internet Avoir un accès à la Conciergerie (services proposés par des esthéticiennes, ostéopathes, cordonniers…) Coaching sportif", "summaryDescription" : "CRM and Data Manager at DIM Brands International. Skills: CRM, Data Management, Customer Experience, Team Leadership. Pilot engagement plans. Pilot retention plans", "postedDate" : "2026-06-14T09:40:26.019", "createdAt" : "2026-06-14T09:40:26.019", "lastUpdated" : "2026-06-15T10:19:28.809", "ingestTimestamp" : "2026-06-14T09:40:26.019", "mongoId" : "6a2c957a74d8ee00a098d2de", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data quality monitoring", "Performance tracking", "KPI reporting", "Customer service management", "CRM", "Data Management", "Customer Experience", "Team Leadership", "Customer engagement", "Customer retention", "Customer satisfaction", "Omnichannel approach", "Data analysis", "Reporting", "Process optimization", "Retail", "E-commerce", "Klaviyo", "Gladly" ], "skillCount" : 19, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Retail", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3066fff292fd229cfb805a", "title" : "Manager, International Data and Strategy", "company" : "The National Football League", "industry" : "Sports & Fitness", "salary" : { "min" : 125000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, United States", "locations" : [ "New York", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:06:39.308", "fingerprint" : "e94f06cfdc68def5c408265f1856d6fe9ae9b66f2e39878d1bcb2aa5fb6e5d61", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/nflcareers/jobs/5263067008", "externalId" : "5263067008", "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", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AWS Redshift, Adobe Marketing Suite, AEP, AEM, AJO, Power BI, Tableau", "professionalSkills" : [ "Data strategy", "Product ownership", "Technical leadership" ], "hardSkillsList" : [ "Data governance", "Data lakes", "Cloud data platforms", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership", "Influencing" ], "hardSkills" : [ { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data lakes", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "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" : "Influencing" } ], "majorSkills" : "Data strategy, Product ownership, Technical leadership", "majorSkillsList" : [ "Data strategy", "Product ownership", "Technical leadership" ], "coreResponsibilities" : "Develop data strategy, Own product roadmaps, Lead technical initiatives, Manage enterprise-scale data initiatives, Oversee cloud data platforms, Oversee data lakes, Oversee governance frameworks, Ensure privacy and compliance, Manage consent data, Engage senior leaders, Work with technical partners, Motivate teams", "teamCollaboration" : "Cross-functional teams; Matrixed organization", "domainKnowledge" : "Fan engagement; Lifecycle marketing", "domainList" : [ "fan-engagement", "lifecycle-marketing" ], "domainSpecificKnowledge" : [ "Fan engagement", "Lifecycle marketing" ], "toolProficiency" : [ "AWS Redshift", "Adobe Marketing Suite", "Power BI", "Tableau" ], "communicationSkills" : "Senior leader engagement; Technical partner communication", "specialRequirements" : "No relocation assistance", "qualificationsBasic" : "5+ years in data strategy, 5+ years in product ownership, 5+ years in technical leadership, Master’s degree or higher, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "Advanced degree preferred, Experience with privacy and compliance standards, Experience with GDPR/CCPA, Experience with consent data management, Knowledge of sports or fan-focused businesses, Understanding of fan engagement, Understanding of lifecycle marketing, Experience with AWS Redshift, Experience with Adobe Marketing Suite, Experience with AEP, Experience with AEM, Experience with AJO, Experience with Power BI, Experience with Tableau, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a highly motivated Manager, International Data advanced degree preferred. 5+ years in data strategy, product ownership, or technical leadership roles. Exposure to enterprise-scale data initiatives, including cloud data platforms, data lakes, and governance frameworks. Experience with privacy and compliance standards, including GDPR/CCPA and consent data management, is preferred. Knowledge of sports or fan-focused businesses, including an understanding of fan engagement and lifecycle marketing, is an advantage. Proven experience working with AWS Redshift, Adobe Marketing Suite (AEP, AEM, AJO), BI Tools like Power BI, Tableau in a production environment is a plus. Demonstrated track record of collaborating across cross-functional teams and influencing decisions in a matrixed organization without direct reporting authority. Excellent communication skills with a demonstrated ability to engage senior leaders, work effectively with technical partners, and motivate teams to achieve high performance. Other Key Attributes / Characteristics Master’s degree or higher in statistics, data science, computer science, or other data related fields Terms / Expected Hours of Work Limited Travel Salary / Pay Range This job posting contains a pay range, which represents the range of salaries or hourly rates that the NFL believes, in good faith, at the time of this posting that it might be willing to pay for the posted job in the location(s) specified. The NFL expects to hire for this position near the middle of the range. Only in truly rare and exceptional circumstances, where an external candidate has experience, credentials or expertise that far exceed those required or expected for the position, would the NFL consider paying a salary or rate near the higher end of the range. Salary $125,000—$160,000 USD Benefits Information To learn more about our comprehensive benefits offerings, please visit: NFL BENEFITS At the NFL, in-person work at our offices is a top priority because it allows us to collaborate more effectively, build stronger connections, and maintain the culture that drives our success. This role requires onsite presence at an NFL office or stadium location, and remote and/or hybrid working options are not offered. NO RELOCATION ASSISTANCE WILL BE PROVIDED. The NFL is committed to building an inclusive work environment that reflects our incredible fan base. We provide an environment of mutual respect where equal employment opportunities are available to all employees and applicants without regard to status as protected by applicable federal, state, and local laws. WHO WE ARE: NFL Core Values: Respect: Everyone matters. We celebrate diverse opinions, honor hard work, and value every contribution. Integrity: We do what's right, even when it's tough. We hold ourselves accountable and always follow through. Team Responsibility: We support each other and our communities. No one is bigger than the game, and every action impacts others. Resiliency: We set high standards, overcome adversity, and adapt to challenges, always striving for excellence. NFL Leadership Attributes: Build Talent: We develop and nurture potential, empowering individuals to grow and succeed. Execute: We take action with precision, delivering results that drive our goals forward. Inspire: We motivate others through vision, energy, and a commitment to excellence. Live Our Values: We embody our core principles in every decision and action. Know the Business: We stay informed, understand our industry, and make decisions that strengthen our position. Think Big: We challenge the status quo, envision bold possibilities, and strive for transformative impact WHO YOU ARE: Talent Attributes: What we expect for our employees: Embody an enthusiastic, proactive can-do attitude Embrace grit, free from ego or entitlement Excel as a relationship builder, with the ability to influence Eager learner, driven by passion rather than just ambition Encompasses an incredible work ethic with an agile mindset", "summaryDescription" : "Manager, International Data and Strategy at The National Football League. Skills: Data strategy, Product ownership, Technical leadership. Develop data strategy. 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"dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Sports", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30794df292fd229c031216", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 192000.0, "max" : 238810.0, "currency" : "CAD", "frequency" : "Yearly" }, "location" : "Toronto, Ontario", "locations" : [ "Toronto, Ontario" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T15:07:30.375", "fingerprint" : "aaf0e33227ca131481be4962d98f3d416a3d9e7ac0a72837e11beccb51a05d5d", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/791ccf38-f164-4521-b05d-6f35fa1e7245/application", "externalId" : "791ccf38-f164-4521-b05d-6f35fa1e7245", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, SQL, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Kubernetes, Terraform, Kafka, Flink, Apache Beam, Lambda, Kinesis, Pub/Sub", "professionalSkills" : [ "Data strategy", "Data modeling", "Business intelligence", "Data governance", "ML systems engineering", "Product intelligence", "AI-powered services", "Data-driven decision-making", "Scalable data engineering", "AI/ML systems", "Cloud-based data architectures", "Real-time analytics", "ML/AI-driven solutions", "Client needs", "Data-as-a-product", "Data assets", "Real-time analytics", "AI-powered automation", "Data-driven insights", "Self-service analytics", "Data pipelines", "Enterprise warehousing", "ML training", "Business reporting", "AI-powered features", "Anomaly detection", "Personalization", "Cost optimization", "MLOps", "CI/CD", "Real-time inference", "Recommendations", "Predictive analytics", "NLP", "Generative AI", "Ethical AI", "AI standards", "BI tools", "Dashboards", "Product analytics", "User behavior", "Feature engagement", "Embedded analytics", "SaaS metrics", "Data privacy", "Data security", "Compliance", "Data lineage", "Metadata management", "MDM", "RBAC", "ABAC", "ReBac", "Data sharing", "Data democratization", "Trusted data", "Documented data", "Team leadership", "Budget management", "Product innovations", "Multi-tenant SaaS", "Customer-facing analytics", "Emerging AI trends", "Responsible AI frameworks" ], "hardSkillsList" : [ "Regression", "Classification", "Clustering", "Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. 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Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities * Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - Advanced-level proficiency in Dutch language (C1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). - Basic-level proficiency in English (B1+ or equivalent fluency by Common European Framework of Reference for Languages (CEFR) standards). Preferred Qualifications: - Speak, write, and read fluently in Dutch 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" : "Data Quality Specialist - Dutch at Amazon Development Center (Netherlands) B. V.. Define and implement quality metrics. Create prescriptive actions for quality issues", "postedDate" : "2026-06-13T02:10:18.149", "createdAt" : "2026-06-13T02:10:18.149", "lastUpdated" : "2026-06-15T01:03:57.254", "ingestTimestamp" : "2026-06-13T02:10:18.149", "mongoId" : "69f9b8034c40e2acd11140ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10409746/apply", "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2a5c3774d8ee00a0613412", "title" : "Quality Engineer - Data Quality & Test Data Management", "company" : "Inovalon", "industry" : "Healthcare", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Engineer in the Healthcare industry in the United States, adjusted for company size and location tier." }, "location" : "BU: Pharmacy", "locations" : [ "BU: Pharmacy", "INDIA" ], "timestamp" : "2026-06-14T20:35:26.587", "fingerprint" : "4af1a309dd752c146df5d44c7c01ab29d33d2b9973a3698a72ef9c41774cf656", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://www.inovalon.com/careers/job/?gh_jid=7743193003", "externalId" : "7743193003", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "technicalSkills" : "SQL, ETL", "professionalSkills" : [ "Data quality assurance", "Test data management", "Data validation", "Data reconciliation", "Data migration testing", "Data conversion testing", "Root cause analysis" ], "hardSkillsList" : [ "SQL query writing", "Data analysis", "Schema validation", "Data model validation", "Test plan creation", "Test case creation" ], "softSkillsList" : [ "Analytical thinking" ], "hardSkills" : [ { "name" : "SQL query writing", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Schema validation", "level" : "intermediate" }, { "name" : "Data model validation", "level" : "intermediate" }, { "name" : "Test plan creation", "level" : "intermediate" }, { "name" : "Test case creation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical thinking" } ], "majorSkills" : "Data Quality, Test Data Management, SQL, Data Validation", "majorSkillsList" : [ "Data Quality", "Test Data Management", "SQL", "Data Validation" ], "coreResponsibilities" : "Own and maintain test data strategies, Create, curate, and validate test datasets, Ensure test data accuracy and alignment, Partner with engineering to mitigate risks, Validate data extractions, transformations, and loads, Test and reconcile data for reports, Test and reconcile data for feeds, Test and reconcile data for analytics, Perform data reconciliation testing, Design and execute test plans for data migrations, Validate migrated data preservation, Use advanced SQL queries for validation, Analyze data issues, Support root-cause analysis, Validate schema changes, Validate data model updates, Validate database-level impacts, Participate in Agile Scrum team, Contribute to sprint planning, Contribute to backlog refinement, Contribute to stand-ups, Contribute to reviews, Contribute to retrospectives, Define data-related acceptance criteria, Identify data quality risks, Communicate data quality risks, Create data-centric test plans, Create data-centric test cases, Leverage AI-assisted tools for test scenarios, Improve coverage for complex data sets, Collaborate to transition data tests to automation, Document and communicate data defects, Identify recurring data issues, Recommend systemic improvements, Contribute to improvements in data quality standards, Contribute to improvements in QA practices", "teamCollaboration" : "Agile Scrum team; Software Engineers; Quality Engineers; Quality Analysts; Product stakeholders; Engineering teams", "projectManagementSkills" : [ "Agile", "Scrum" ], "domainKnowledge" : "Healthcare data; Regulatory outcomes; Healthcare scenarios; Business rules; Healthcare data requirements", "domainList" : [ "healthcare-data", "regulatory-outcomes", "healthcare-scenarios", "business-rules", "healthcare-data-requirements" ], "domainSpecificKnowledge" : [ "Healthcare data", "Regulatory outcomes", "Healthcare scenarios", "Business rules", "Healthcare data requirements" ], "toolProficiency" : [ "AI-assisted tools" ], "communicationSkills" : "Communicate risks", "documentationSkills" : "Document defects", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Analytical thinking; Root cause analysis", "specialRequirements" : "Authorized to work in US", "qualificationsBasic" : "4-8 years experience in software quality assurance, Emphasis on data validation and testing, Complex SQL queries for validation and analysis, Testing data extractions, reports, ETL pipelines, or data migrations, Experience working in Agile Scrum teams, Understanding of SDLC, Agile workflows, and defect management, High attention to detail, Analytical thinking skills, Communicate data quality risks clearly", "qualificationsPreferred" : "Experience in healthcare, Experience in regulated environments, Experience in data-intensive platforms, Familiarity with healthcare data concepts, Familiarity with compliance considerations, Familiarity with reporting requirements, Validating large or complex datasets, Exposure to automation-friendly test design, Experience using AI-assisted tools", "rawDescription" : "Inovalon was founded in 1998 on the belief that technology, and data specifically, would empower the transformation of the entire healthcare ecosystem for the better, improving both outcomes and economics. At Inovalon, we believe that when our customers are successful in their missions, healthcare improves. Therefore, we focus on empowering them with data-driven solutions. And the momentum is building. Together, as ONE Inovalon, we are a united force delivering solutions that address healthcare’s greatest needs. Through our mission-based culture of inclusion and innovation, our organization brings value not just to our customers, but to the millions of patients and members they serve. Role Overview We are seeking a Quality Engineer with a strong data and technical background to focus on test data management, SQL‑driven validation, and data quality assurance for a cloud‑native healthcare application. This role is essential to ensuring the accuracy, consistency, and integrity of data used for reporting, analytics, integrations, and data migrations/conversions. This position operates as a core member of an Agile Scrum team, working closely with Software Engineers, Quality Engineers, Quality Analysts and product stakeholders to validate complex data flows end‑to‑end. The ideal candidate combines traditional QA discipline with deep analytical thinking, strong SQL skills, and a clear understanding of how healthcare data quality impacts customers, regulatory outcomes, and business trust. Key Responsibilities Test Data Management Own and maintain test data strategies that support functional testing, regression testing, performance testing, reporting validation, and data migrations. Create, curate, and validate high‑quality test datasets that reflect real‑world healthcare scenarios, edge cases, and historical data patterns. Ensure test data remains accurate, reusable, and aligned with evolving schemas and business rules. Partner with engineering to identify and mitigate risks related to shared databases and cross‑functional data dependencies. Data Quality & Validation Testing Validate data extractions, transformations, and loads (ETL) used for reporting, downstream feeds, and analytics. Test and reconcile data used in: Operational and regulatory reports Customer‑facing reports Internal analytics and dashboards Perform data reconciliation testing to ensure completeness, accuracy, and consistency across systems. Data Migration & Conversion Testing Design and execute test plans for data migrations and conversions, validating both historical and in‑flight data. Confirm that migrated data preserves: Referential integrity Business rules and calculations Regulatory and healthcare data requirements Partner with engineering and stakeholders to validate pre‑ and post‑migration data states. SQL & Technical Analysis Use advanced SQL queries to validate data correctness, detect anomalies, and identify data quality issues. Independently analyze data issues and support root‑cause analysis in collaboration with engineering teams. Validate schema changes, data model updates, and database‑level impacts as part of sprint delivery. Agile & Scrum Team Participation Act as a full participant in an Agile Scrum team, contributing to sprint planning, backlog refinement, stand‑ups, reviews, and retrospectives. Ensure data‑related acceptance criteria are clearly defined and testable before work enters a sprint. Identify data quality risks early in the sprint lifecycle and communicate them clearly to the team. Test Design & Automation Readiness Create data‑centric test plans and test cases that are structured, repeatable, and automation‑ready. Leverage AI‑assisted tools to help generate test scenarios, identify edge cases, and improve coverage for complex data sets (with appropriate validation and oversight). Collaborate with Quality Engineers to transition suitable data tests into automated pipelines. Defect Management & Continuous Improvement Clearly document and communicate data defects, including reproduction queries, expected vs. actual results, and data impact. Identify recurring data issues and recommend systemic improvements to prevent future defects. Contribute to improvements in data quality standards, metrics, and QA practices. Required Qualifications 4–8 years of experience in software quality assurance with a strong emphasis on data validation and testing. Strong SQL skills, including the ability to write complex queries for validation and analysis. Hands‑on experience testing data extractions, reports, ETL pipelines, or data migrations. Experience working as part of Agile Scrum teams. Strong understanding of SDLC, Agile workflows, and defect management processes. High attention to detail and strong analytical thinking skills. Ability to communicate data quality risks clearly to technical and non‑technical stakeholders. Preferred Qualifications Experience in healthcare, regulated environments, or data‑intensive platforms. Familiarity with healthcare data concepts, compliance considerations, or reporting requirements. Experience validating large or complex datasets across shared databases. Exposure to automation‑friendly test design for data pipelines. Experience using AI‑assisted tools to support test case creation or data analysis. This position is not eligible for immigration sponsorship (e. g. H-1B, TN, or E-3). Applicants must be authorized to work in the United States as a condition of employment. (This is only applicable for US-based positions) If you don’t meet every qualification listed but are excited about our mission and the work described, we encourage you to apply. Inovalon is most interested in finding the best candidate for the job, and you may be just the right person for this or other roles. By embracing inclusion, we enhance our work environment and drive business success. Inovalon strives to provide equal opportunities to the communities where we operate and to our clients and everyone whom we serve. We endeavor to create a culture of inclusion in which our associates feel empowered to bring their full, authentic selves to work and pursue their professional goals in an equitable setting. We understand that by fostering this type of culture, and welcoming different perspectives, we generate innovation and growth. Inovalon is proud to be an equal opportunity workplace. We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender identity or veteran status. We also consider qualified applicants regardless of criminal histories, consistent with legal requirement. To review the legal requirements, including all labor law posters, please visit this link To review the California Consumer Privacy Statement: Disclosures for California Residents, please visit this link", "summaryDescription" : "Quality Engineer - Data Quality & Test Data Management at Inovalon. Skills: Data Quality, Test Data Management, SQL, Data Validation. Own and maintain test data strategies. Create, curate, and validate test datasets", "postedDate" : "2026-06-11T21:19:51.287", "createdAt" : "2026-06-11T21:19:51.287", "lastUpdated" : "2026-06-14T20:35:26.587", "ingestTimestamp" : "2026-06-11T21:19:51.287", "mongoId" : "6a2a5c3774d8ee00a0613412", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "SQL query writing", "Data analysis", "Schema validation", "Data model validation", "Test plan creation", "Test case creation", "Analytical thinking", "Data Quality", "Test Data Management", "SQL", "Data Validation", "Data quality assurance", "Test data management", "Data validation", "Data reconciliation", "Data migration testing", "Data conversion testing", "Root cause analysis", "Agile", "Scrum", "Healthcare data", "Regulatory outcomes", "Healthcare scenarios", "Business rules", "Healthcare data requirements", "AI-assisted tools" ], "skillCount" : 26, "jobCategory" : "engineering", "jobSubcategory" : "3806---software-engineering-cor", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307f83f292fd229c05a1fe", "title" : "Staff Software Engineer, Roads Data Quality", "industry" : "Technology", "salary" : { "min" : 235000.0, "max" : 350000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Software Engineer in Mountain View, adjusted for lead seniority and the technology industry." }, "location" : "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]", "locations" : [ "[Mountain View, CA, USA, [100 Bay Vw Dr, Mountain View, CA 94043, USA], Mountain View, 94043, CA, US]" ], "timestamp" : "2026-06-16T12:12:39.908", "fingerprint" : "348a7b761c0871b3ec1304ce41c8d0238306ed36e9afbaa471c82a9f09cb3bb3", "source" : "google", "language" : "en", "externalId" : "81147441402782406", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "summaryDescription" : "Staff Software Engineer, Roads Data Quality", "postedDate" : "2026-06-16T01:48:28.401", "createdAt" : "2026-06-16T01:48:28.401", "lastUpdated" : "2026-06-16T12:12:39.908", "ingestTimestamp" : "2026-06-16T01:48:28.401", "mongoId" : "6a307f83f292fd229c05a1fe", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 235000, "salaryAnnualMax" : 350000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.5555556, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2a750774d8ee00a065672f", "title" : "Data Quality Professional", "company" : "Harbor", "salary" : { "min" : 1500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote, United States", "locations" : [ "Remote", "United States" ], "timestamp" : "2026-06-14T14:20:45.996", "fingerprint" : "59899ff43b42e3ea7a750d7648943596eb3435b8189ea187abe0a13499cffdfa", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/harborglobal/jobs/5161314007", "externalId" : "5161314007", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "experienceMinYears" : 3, "professionalSkills" : [ "Data quality", "Relationship management", "Data validation", "Data discrepancies", "Data clean-up" ], "hardSkillsList" : [ "Data accuracy", "Information research", "Information validation", "Data discrepancy resolution", "Duplicate record merging", "General data clean-up", "Sound judgment" ], "softSkillsList" : [ "Patience", "Focus", "Problem-solving", "Research" ], "hardSkills" : [ { "name" : "Data accuracy", "level" : "intermediate" }, { "name" : "Information research", "level" : "intermediate" }, { "name" : "Information validation", "level" : "intermediate" }, { "name" : "Data discrepancy resolution", "level" : "intermediate" }, { "name" : "Duplicate record merging", "level" : "intermediate" }, { "name" : "General data clean-up", "level" : "intermediate" }, { "name" : "Sound judgment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Patience" }, { "name" : "Focus" }, { "name" : "Problem-solving" }, { "name" : "Research" } ], "majorSkills" : "Data quality, Data accuracy, Data validation", "majorSkillsList" : [ "Data quality", "Data accuracy", "Data validation" ], "coreResponsibilities" : "Log in and complete assigned work, Review and update client data, Research and validate information, Resolve data discrepancies, Merge duplicate records, Follow standardized procedures, Perform general data clean-up, Exercise sound judgment, Review audit feedback, Correct errors, Implement coaching guidance, Communicate issues or blockers, Attend and contribute to team meetings", "teamCollaboration" : "Virtual settings; Distributed team; Supportive team environment; Quality Specialists; Client Managers", "domainKnowledge" : "Legal industry data", "domainList" : [ "legal-industry-data" ], "domainSpecificKnowledge" : [ "Legal industry data" ], "communicationSkills" : "Written communication; Verbal communication; Summarize data findings; Task status summary", "continuousLearning" : "Eagerness to improve; Eagerness to learn", "problemSolvingSkills" : "Problem-solving skills", "specialRequirements" : "High-speed internet connection, Dedicated workspace", "outcomesObjectives" : "Deliver accurate data; Deliver high-quality data", "qualificationsBasic" : "3+ years professional work experience, Follow directions carefully, Execute tasks with high accuracy, Technically proficient, Comfortable using software tools, Self-motivated, Organized, Able to manage time independently, Take pride in work, Committed to delivering high standard of quality, Maintain confidentiality, Demonstrate discretion", "qualificationsPreferred" : "Some college coursework, Higher education experience, Experience with CRM systems, Prior work experience in law firm, Familiarity with legal industry data", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Harbor is looking for detail-oriented and committed Data Quality Professionals (DQPs) to join our growing Managed Services team. As a DQP, you’ll play a key role in helping our clients maintain accurate, high-quality data that supports their business development and relationship management efforts. This is a remote position ideal for individuals who thrive in a structured, flexible work environment with a strong emphasis on quality, accuracy, and independence. Our team is distributed across multiple states, working from home offices with the support of experienced Quality Specialists and Client Managers. Join our team as a Data Quality Professional and make a real impact by delivering accurate, high-quality data that helps our clients succeed. Hourly Pay Rate: $15.00 per hour Responsibilities: Log in and complete assigned work each week according to deadlines Review and update client data accurately based on provided Style Guides Research and validate information using internal and external data sources Resolve data discrepancies and merge duplicate records Follow standardized procedures for general data clean-up projects Exercise sound judgment in determining accurate data Review audit feedback weekly, correcting any errors and implementing coaching guidance Communicate issues or blockers proactively with your team Attend and contribute to team meetings Qualifications: You bring 3+ years of professional work experience or similar, ideally in a detail-driven role You follow directions carefully and execute tasks with high accuracy You have strong communication and collaboration skills, especially in virtual settings You are technically proficient and comfortable using software tools and systems You are self-motivated, organized, and able to manage your time independently You take pride in your work and are committed to delivering a high standard of quality You maintain confidentiality and demonstrate discretion when handling sensitive information Preferred Qualifications: Some college coursework or higher education experience Experience with CRM systems (training provided if not) Prior work experience in a law firm or familiarity with legal industry data Technical Requirements: Reliable, high-speed internet connection A quiet, dedicated workspace free from distractions during work hours Core Competencies: Demonstration of Firm Values: Models professionalism, respect, and integrity in day-to-day performance and communication. Collaboration acts as a reliable and supportive resource. Commitment to Client Service: Responds effectively to client needs under the guidance of the Client Manager and team leads. Execution of Work / Operational Competence: Exhibits proficiency in executing data-related tasks with a strong understanding of internal processes and tools. Effective Communication: Demonstrates clear, professional communication and effectively summarizes data findings and task status. Key Skills: Patience, focus, and a proactive mindset Exceptional attention to detail and quality Strong problem-solving and research skills Excellent written and verbal communication Comfortable collaborating across a distributed, remote team A growth mindset and eagerness to improve and learn Why Work With Us? Work from home in a fully remote position with a flexible schedule No dress code – wear what’s comfortable No commute – save time and money Supportive team environment with accessible Quality Specialists and Client Managers Opportunities for advancement – we promote internally and recognize talent About Us: Harbor is the preeminent provider of expert services across strategy, legal technology, operations, and intelligence. Our globally integrated team of 900+ strategists, technologists, and specialists navigate alongside our clients – leading law firms, corporations, and their law departments – to provide essential resources and invaluable insights. Anchored in a rich heritage of deep knowledge, steadfast relationships, and mutual respect, our unwavering dedication lies in shaping the future of the legal industry and fostering enduring partnerships within our community and ecosystem. Harbor is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, ethnicity, color, religion, sex, sexual orientation, gender identity, marital status, civil union status, national origin, ancestry, age, parental status, disabled status, veteran status, or any other legally protected classification, in accordance with applicable law.", "summaryDescription" : "Data Quality Professional at Harbor. Skills: Data quality, Data accuracy, Data validation. Log in and complete assigned work. Review and update client data", "postedDate" : "2026-06-11T22:01:15.704", "createdAt" : "2026-06-11T22:01:15.704", "lastUpdated" : "2026-06-14T14:20:45.996", "ingestTimestamp" : "2026-06-11T22:01:15.704", "mongoId" : "6a2a750774d8ee00a065672f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 3120000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data accuracy", "Information research", "Information validation", "Data discrepancy resolution", "Duplicate record merging", "General data clean-up", "Sound judgment", "Patience", "Focus", "Problem-solving", "Research", "Data quality", "Data validation", "Relationship management", "Data discrepancies", "Data clean-up", "Legal industry data" ], "skillCount" : 17, "jobCategory" : "operations", "jobSubcategory" : "business-operations-solutions-(bos)", "dataQualityScore" : 0.7777778, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "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" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. 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" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. Lead implementation of data solutions", "postedDate" : "2026-06-13T14:22:44.066", "createdAt" : "2026-06-13T14:22:44.066", "lastUpdated" : "2026-06-15T07:27:32.772", "ingestTimestamp" : "2026-06-13T14:22:44.066", "mongoId" : "69cf3f062beec4dd3d9340ff", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/10382143/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration", "Data architecture", "AWS data services", "Data platform design", "Analytics architecture", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration", "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "skillCount" : 42, "jobCategory" : "operations", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "68b706987fc9a711f0f6fdcb", "title" : "Quality Specialist, AGI Data Services", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 1150000.0, "max" : 1750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Specialist in Chennai, India, adjusted for the technology industry and company size." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T05:54:27.596", "fingerprint" : "956925d3e28d1e53cf6edc90bdf23b39a6b6e9d220b62540b63dd1f8d78f6d9f", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3053231/apply", "externalId" : "60db1d94-15d8-4eed-8efe-7609a70e9ecd", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Process expertise", "Process improvement" ], "hardSkillsList" : [ "Data analysis", "Metric analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Metric analysis", "level" : "intermediate" } ], "majorSkills" : "Quality frameworks, Process documentation, Customer relations", "majorSkillsList" : [ "Quality frameworks", "Process documentation", "Customer relations" ], "coreResponsibilities" : "Develop quality strategies, Define metrics, Define audit approaches, Define specific targets, Create prescriptive actions, Examine data patterns, Formulate effective solutions, Manage feedback loop, Identify workflow enhancement opportunities, Identify quality improvement opportunities, Serve as escalation points, Provide strategic recommendations, Evaluate quality tools, Suggest tool refinements, Maintain process documentation, Update process documentation", "teamCollaboration" : "Collaboration with customers; Collaboration with CPMs; Collaboration with operations; Collaboration with internal support teams", "domainKnowledge" : "Data services; Machine Learning", "domainList" : [ "data-services", "machine-learning" ], "domainSpecificKnowledge" : [ "Data services", "Machine Learning" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Problem-solving capabilities; Analytical capabilities", "qualificationsBasic" : "Business English proficiency, Intermediate Excel skills, Experience in Machine Learning/Data Labeling, Process expertise in data services, Experience in coaching and process improvement, Analytical and problem-solving capabilities", "qualificationsPreferred" : "Experience with speech or language data, Ability to work in ambiguous environments, Project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities * Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: * Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling • Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities Preferred Qualifications: * Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management 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" : "Quality Specialist, AGI Data Services at ADCI MAA 12 SEZ. Skills: Quality frameworks, Process documentation, Customer relations. Develop quality strategies. Define metrics", "postedDate" : "2026-06-13T15:06:46.574", "createdAt" : "2026-06-13T15:06:46.574", "lastUpdated" : "2026-06-15T05:54:27.596", "ingestTimestamp" : "2026-06-13T15:06:46.574", "mongoId" : "68b706987fc9a711f0f6fdcb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3053231/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Metric analysis", "Quality frameworks", "Process documentation", "Customer relations", "Process expertise", "Process improvement", "Data services", "Machine Learning" ], "skillCount" : 9, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2176c774d8ee00a0c1adbc", "title" : "Data Engineer, WW Promotions Data and Insights", "company" : "Amazon Development Centre Canada ULC", "industry" : "Data Science, Data Engineering, north america stores", "salary" : { "min" : 103300.0, "max" : 172600.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Vancouver, British Columbia, CAN", "locations" : [ "Vancouver, British Columbia, CAN" ], "timestamp" : "2026-06-15T03:12:51.771", "fingerprint" : "be379a15adb0d165f4e7fbac44c1dc26058391c402487f29249070d19d908bff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "externalId" : "88a730ec-f4bb-4fe3-bfe8-4633080161a6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "AWS, Redshift, S3, Glue, EMR, Kinesis, Lambda, Python, Scala, Airflow", "professionalSkills" : [ "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD" ], "hardSkillsList" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency" ], "softSkillsList" : [ "Mentoring" ], "hardSkills" : [ { "name" : "Data processing systems", "level" : "intermediate" }, { "name" : "Data pipeline performance", "level" : "intermediate" }, { "name" : "Data reliability", "level" : "intermediate" }, { "name" : "Cost-efficiency", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Mentoring" } ], "majorSkills" : "Data engineering, AWS services, Data pipelines", "majorSkillsList" : [ "Data engineering", "AWS services", "Data pipelines" ], "coreResponsibilities" : "Design data processing systems, Build data processing systems, Operate data processing systems, Leverage expertise in Python, Develop custom data processing frameworks, Develop automation tools, Collaborate with data scientists, Collaborate with analysts, Collaborate with product managers, Optimize data pipeline performance, Optimize data pipeline reliability, Optimize data pipeline cost-efficiency, Mentor junior engineers, Share knowledge of data engineering, Stay up-to-date with big data technologies, Stay up-to-date with architectural patterns, Drive adoption of innovative solutions", "teamCollaboration" : "With data scientists; With analysts; With product managers", "domainKnowledge" : "Promotions data; Promotional strategies; Selling Partners; Big data technologies; Architectural patterns", "domainList" : [ "promotions-data", "promotional-strategies", "selling-partners", "big-data-technologies", "architectural-patterns" ], "domainSpecificKnowledge" : [ "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns" ], "toolProficiency" : [ "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "continuousLearning" : "Stay up-to-date with technologies; Drive adoption of solutions", "innovationCreativity" : "Drive adoption of innovative solutions", "problemSolvingSkills" : "Translate business requirements", "qualificationsBasic" : "3+ years of data engineering experience, Experience with data modeling, Experience with warehousing, Experience building ETL pipelines", "qualificationsPreferred" : "Experience with AWS technologies, Experience with non-relational databases, Usage of generative AI tools, Willingness to learn AI prompting, Ability to recognize AI opportunities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you passionate about developing the next generation of data infrastructure capable of handling complex, mission-critical data pipelines and analytics workloads? Do you want to build next generation data engineering solutions that leverage the latest AWS technologies to process a broad range of business and customer data? Join our WW Promotions Data and Insights team, where you'll have the opportunity to continuously improve the systems that enable Amazon's promotional strategies across every major shopping event worldwide. Key job responsibilities 1. Design, build, and operate highly scalable, fault-tolerant data processing systems using modern AWS services like Redshift, S3, Glue, EMR, Kinesis, and Lambda, and orchestration systems using Airflow 2. Leverage your expertise in Python, Scala, or other modern programming languages to develop custom data processing frameworks and automation tools 3. Collaborate closely with data scientists, analysts, and product managers to understand business requirements and translate them into technical solutions 4. Continuously optimize data pipeline performance, reliability, and cost-efficiency using best practices in CI/CD and infrastructure-as-code 5. Mentor junior engineers and share your knowledge of data engineering best practices 6. Stay up-to-date with the latest big data technologies and architectural patterns, and drive the adoption of innovative solutions About the team Promotions reinforce a positive perception of Amazon’s price leadership with shoppers by complementing our everyday great prices with time-bound discounts on a broad selection of high-quality products. For Selling Partners (SPs), promotions create incremental demand for their products and increase their share of voice, clear inventory, and drive traffic to new selection. WW Promotions owns the sourcing and execution of promotions at Amazon and we are their data & analytics team. We serve as the central stewards of promotions data, delivering trusted and governed datasets that power product development, machine learning models, and business analytics across the organization. Basic Qualifications: - 3+ years of data engineering experience - Experience with data modeling, warehousing and building ETL pipelines Preferred Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - Experience with non-relational databases / data stores (object storage, document or key-value stores, graph databases, column-family databases) - Usage of generative AI tools to enhance workflow efficiency, with a willingness to learn effective prompting and evaluation practices. - Ability to recognize opportunities where generative AI could enhance products, workflows, or customer experiences. 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. As a total compensation company, Amazon's package may include other elements such as sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon offers comprehensive benefits including health insurance (medical, dental, vision, prescription, basic life & AD&D insurance), Registered Retirement Savings Plan (RRSP), Deferred Profit Sharing Plan (DPSP), paid time off, and other resources to improve health and well-being. We thank all applicants for their interest, however only those interviewed will be advised as to hiring status. CAN, BC, Vancouver - 103,300.00 - 172,600.00 CAD annually", "summaryDescription" : "Data Engineer, WW Promotions Data and Insights at Amazon Development Centre Canada ULC. Skills: Data engineering, AWS services, Data pipelines. Design data processing systems. Build data processing systems", "postedDate" : "2026-06-13T09:12:42.868", "createdAt" : "2026-06-13T09:12:42.868", "lastUpdated" : "2026-06-15T03:12:51.771", "ingestTimestamp" : "2026-06-13T09:12:42.868", "mongoId" : "6a2176c774d8ee00a0c1adbc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10438823/apply", "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data processing systems", "Data pipeline performance", "Data reliability", "Cost-efficiency", "Mentoring", "Data engineering", "AWS services", "Data pipelines", "Data modeling", "Data warehousing", "ETL pipelines", "Infrastructure-as-code", "CI/CD", "Promotions data", "Promotional strategies", "Selling Partners", "Big data technologies", "Architectural patterns", "Airflow", "Redshift", "S3", "Glue", "EMR", "Kinesis", "Lambda" ], "skillCount" : 25, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca51974d8ee00a09b4ac2", "title" : "Director, Data Management and Systems", "company" : "Apogee Therapeutics", "industry" : "Biotech", "salary" : { "min" : 215000.0, "max" : 245000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T00:34:50.028", "fingerprint" : "a67a650203974e35a7812b79bd50b8cc4f96c4b227cf574f7ee5ceabd7897932", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/apogeetherapeutics/jobs/5161364007", "externalId" : "5161364007", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 12, "experienceLevel" : "Director", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data management", "Systems management", "Data engineering", "Machine learning", "Business intelligence", "Data analytics", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database administration", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning algorithms", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data management, Systems management, Machine learning, Business intelligence", "majorSkillsList" : [ "Data management", "Systems management", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Oversee data management systems, Ensure data integrity, Develop and implement data strategies, Manage data governance policies, Lead data engineering initiatives, Build and maintain data pipelines, Optimize data storage and retrieval, Implement data quality controls, Drive analytics and BI initiatives, Develop predictive models, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Genomics; Drug discovery; Clinical trials", "domainList" : [ "genomics", "drug-discovery", "clinical-trials" ], "domainSpecificKnowledge" : [ "Genomics", "Drug discovery", "Clinical trials" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, SQL proficiency, Bachelor's degree", "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" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Apogee Therapeutics Founded in 2022, Apogee Therapeutics, Inc. (Ticker: APGE) is a well-funded, Nasdaq listed company that offers the opportunity to work in a fast-paced, highly dynamic environment. At Apogee, you can actively contribute to shaping the company culture, take on various roles and responsibilities, and grow professionally. Apogee Therapeutics is a clinical-stage biotechnology company advancing novel biologics with potential for differentiated efficacy and dosing in the largest I ensure accountability and high-quality deliverables. Lead vendor selection and contract input for DM-related services. People Leadership advanced degree preferred. 12+ years of experience in clinical data management within biotech, pharma, or CRO environments. Experience in both operational DM and systems/technology implementation. Demonstrated leadership of DM activities across multiple clinical trials and programs. Technical Expertise Deep knowledge of EDC systems (e.g., Medidata Rave). Strong understanding of CDISC standards (SDTM, CDASH) and data lifecycle. Experience with data integrations, external data (labs, imaging, biomarkers), and decentralized trial technologies. Familiarity with data visualization and analytics tools is a plus. Leadership & Competencies Proven ability to lead cross-functional teams and influence at the program level. Strong strategic thinking with hands-on execution capability. Excellent communication and stakeholder management skills. Experience in fast-paced, growing organizations preferred. Ability to bridge systems/technology with clinical execution. Strong ownership mindset over data quality and delivery timelines. Proactive, solutions-oriented approach to complex data challenges. Effective leadership in ambiguity and evolving clinical landscapes. The anticipated salary range for candidates for this role will be $215,000 - $245,000/year. The final salary offered will depend on several factors, which may include, but is not limited to relevant years of experience, educational background, and geography. What We Offer A great culture, grounded in our C.O.R. E. values: Caring, Original, Resilient and Egoless Opportunity to work in a fast-paced, highly dynamic environment where you help shape the culture and company, wear multiple hats, and learn quickly Market competitive compensation and benefits package, including base salary, performance bonus, equity grant opportunities, health, welfare & retirement benefits We provide competitive time off, including three weeks PTO, two one-week company-wide shutdowns a year and dedicated paid sick leave Commitment to growing you professionally and providing access to resources to further your development Apogee offers regular all team, in-person meetings to build relationships and problem solve E-Verify Participation: As part of the I9 verification of authorization to work in the US, Apogee participates in E-Verify. To learn more about E-Verify please review this poster. Apogee Therapeutics is proud to be an Equal Opportunity employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law. To review our privacy policy, click here 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.", "summaryDescription" : "Director, Data Management and Systems at Apogee Therapeutics. Skills: Data management, Systems management, Machine learning, Business intelligence. Oversee data management systems. Ensure data integrity", "postedDate" : "2026-06-14T20:07:58.302", "createdAt" : "2026-06-14T20:07:58.302", "lastUpdated" : "2026-06-16T00:34:50.028", "ingestTimestamp" : "2026-06-14T20:07:58.302", "mongoId" : "6a2ca51974d8ee00a09b4ac2", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 215000, "salaryAnnualMax" : 245000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ "Data warehousing", "ETL processes", "Data modeling", "Database administration", "Cloud computing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference", "Data management", "Systems management", "Machine learning", "Business intelligence", "Data engineering", "Data analytics", "Quantitative analysis", "Statistical modeling", "Genomics", "Drug discovery", "Clinical trials", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Biotech", "llmIndustryConfidence" : 0.98 }, { "id" : "68b706997fc9a711f0f6fe81", "title" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning", "company" : "Amazon Web Services, Inc.", "industry" : "Data Science, Science, Cloud Computing", "salary" : { "min" : 143300.0, "max" : 247600.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Herndon, Virginia, USA", "locations" : [ "Herndon, Virginia, USA" ], "timestamp" : "2026-06-15T06:03:22.811", "fingerprint" : "2de507a2af9713958cf19fc7bc76811d52243f83d9bf8296e6df9008d561a0ec", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3051327/apply", "externalId" : "17bd976f-c327-4f8f-82fd-e01156aa798f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Herndon", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9695316,-77.3859479" } ], "locationText" : "Herndon, Virginia, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AI algorithms, Generative AI, Machine Learning, Large Language Models, Python, Tensorflow, Keras, PyTorch, MXNet, AWS, SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch, JAX", "professionalSkills" : [ "Business acumen", "Data science", "AI methods" ], "hardSkillsList" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning" ], "hardSkills" : [ { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Numerical optimization", "level" : "intermediate" }, { "name" : "Deep learning", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" } ], "majorSkills" : "Generative AI, Machine Learning, Data Science", "majorSkillsList" : [ "Generative AI", "Machine Learning", "Data Science" ], "coreResponsibilities" : "Research AI algorithms, Design AI algorithms, Develop AI algorithms, Evaluate AI algorithms, Interact with customers, Understand business problem, Aid customers in implementation of AI solutions, Deliver briefing sessions to customers, Deliver deep dive sessions to customers, Guide customer on adoption patterns, Guide customer on paths to production, Create best practice recommendations, Deliver best practice recommendations, Create tutorials, Deliver tutorials, Create blog posts, Deliver blog posts, Create sample code, Deliver sample code, Create presentations, Deliver presentations, Provide customer feedback, Provide market feedback", "teamCollaboration" : "AI/ML scientists; Architects; Product teams; Engineering teams", "domainKnowledge" : "Generative AI; Large Language Models; US Intelligence Community", "domainList" : [ "generative-ai", "large-language-models", "us-intelligence-community" ], "domainSpecificKnowledge" : [ "Generative AI", "Large Language Models", "US Intelligence Community" ], "toolProficiency" : [ "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "communicationSkills" : "Customer briefings; Deep dive sessions; Executive stakeholder presentations", "documentationSkills" : "Best practice recommendations; Tutorials; Blog posts; Sample code; Presentations", "innovationCreativity" : "Drive feature innovation", "problemSolvingSkills" : "Solve complex problems", "specialRequirements" : "TS/SCI with Polygraph, Up to 25% local travel", "qualificationsBasic" : "Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience, 5+ years of experience building models for business applications, Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning, Experience using Python, Hands on experience building models with deep learning frameworks (i. e. Tensorflow, Keras, PyTorch, MXNet), Current, active US Government Security Clearance of TS/SCI with Polygraph", "qualificationsPreferred" : "Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field, AWS experience preferred, Practical experience in solving complex problems in an applied environment, Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX, Experience building applications leveraging GenAI", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Are you excited to help the US Intelligence Community design, build, and implement AI algorithms, including advanced Generative AI solutions, to augment decision making while meeting the highest standards for reliability, transparency, and scalability? The Amazon Web Services (AWS) US Federal Professional Services team works directly with US Intelligence Community agencies and other public sector entities to achieve their mission goals through the adoption of Machine Learning (ML) and Generative AI methods. We build models for text, image, video, audio, and multi-modal use cases, leveraging both traditional ML approaches and state-of-the-art generative models including Large Language Models (LLMs), text-to-image generation, and other advanced AI capabilities to fit the mission. Our team collaborates across the entire AWS organization to bring access to product and service teams, to get the right solution delivered and drive feature innovation based on customer needs. At AWS, we're hiring experienced data scientists with a background in both traditional and generative AI who can help our customers understand the opportunities their data presents, and build solutions that earn the customer trust needed for deployment to production systems. In this role, you will work closely with customers to deeply understand their data challenges and requirements, and design tailored solutions that best fit their use cases. You should have broad experience building models using all kinds of data sources, and building data-intensive applications at scale. You should possess excellent business acumen and communication skills to collaborate effectively with stakeholders, develop key business questions, and translate requirements into actionable solutions. You will provide guidance and support to other engineers, sharing industry best practices and driving innovation in the field of data science and AI. This position requires that the candidate selected must currently possess and maintain an active TS/SCI Security Clearance with Polygraph. The position further requires the candidate to opt into a commensurate clearance for each government agency for which they perform AWS work. Key job responsibilities As an Data Scientist, you will: - Collaborate with AI/ML scientists and architects to research, design, develop, and evaluate AI algorithms to address real-world challenges - Interact with customers directly to understand the business problem, help and aid them in implementation of AI solutions, deliver briefing and deep dive sessions to customers and guide customer on adoption patterns and paths to production. - Create and deliver best practice recommendations, tutorials, blog posts, sample code, and presentations adapted to technical, business, and executive stakeholder - Provide customer and market feedback to Product and Engineering teams to help define product direction - This position may require up to 25% local travel. About the team About AWS Diverse Experiences AWS values diverse experiences. Even if you do not meet all of the 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 and 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 flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - Bachelor's degree in Computer Science, Engineering, related field, or equivalent experience - 5+ years of experience building models for business applications - Experience with algorithms, data structures, parsing, numerical optimization, data mining, parallel and distributed computing, high-performance computing, neural deep learning methods and/or machine learning - Experience using Python and hands on experience building models with deep learning frameworks (i.e. Tensorflow, Keras, PyTorch, MXNet) - Current, active US Government Security Clearance of TS/SCI with Polygraph Preferred Qualifications: - Masters or PhD Degree in computer science, engineering, mathematics, operations research, or in a highly quantitative field - AWS experience preferred, with proficiency in a range of AWS services (e.g., SageMaker, Bedrock, EC2, ECS, EKS, OpenSearch) - Practical experience in solving complex problems in an applied environment - Hands on experience building models with deep learning frameworks like PyTorch, Tensorflow, or JAX - Experience building applications leveraging GenAI 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. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $143,300/year in our lowest geographic market up to $247,600/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. 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, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior Data Scientist - Data and Machine Learning, WWPS ProServe Data and Machine Learning at Amazon Web Services, Inc.. Skills: Generative AI, Machine Learning, Data Science. Research AI algorithms. Design AI algorithms", "postedDate" : "2026-06-13T12:13:39.251", "createdAt" : "2026-06-13T12:13:39.251", "lastUpdated" : "2026-06-15T06:03:22.811", "ingestTimestamp" : "2026-06-13T12:13:39.251", "mongoId" : "68b706997fc9a711f0f6fe81", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3051327/apply", "salaryAnnualMin" : 143300, "salaryAnnualMax" : 247600, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data mining", "Numerical optimization", "Deep learning", "Machine learning", "Generative AI", "Machine Learning", "Data Science", "Business acumen", "Data science", "AI methods", "Large Language Models", "US Intelligence Community", "Tensorflow", "Keras", "PyTorch", "MXNet", "JAX" ], "skillCount" : 17, "jobCategory" : "data", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a2ca53574d8ee00a09b52c1", "title" : "Data Engineer, Data Programme", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 96000.0, "max" : 144000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Singapore, adjusted for the government industry and contract employment type." }, "location" : "Data Programme", "locations" : [ "Data Programme" ], "timestamp" : "2026-06-16T06:16:46.663", "fingerprint" : "38e197a85c7ef59dbaa339c3fa2f606cef5d4f9df237e75700e97621ccabba86", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4003953201?gh_jid=4003953201", "externalId" : "4003953201", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "rawDescription" : "The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT diagnose issues and deploy measures to prevent recurrence; ensure maximum database uptime; Construct, test, and update useful and reusable data models based on data needs of end users. Design and build secure mechanisms for end users and systems to access data in data warehouse. Research, propose and develop new technologies and processes to improve agency data infrastructure. Collaborate with data stewards to establish and enforce data governance policies, best practices and procedures. Maintain data catalogue to document data assets, metadata and lineage. Implement data quality checks and validation processes to ensure data accuracy and consistency. Implement and enforce data security best practices, including access control, encryption, and data masking, to safeguard sensitive data. Learn and share knowledge in a multi-disciplinary team. Additionally, more senior engineers will be expected to: Establish best practices Share your expertise and mentor other engineers Help with recruiting. You are not just here to write code, but also to figure out what we should be building and how we should build it. Your job will be to bring expertise and capability to the public sector. Sometimes this means coding new systems from scratch. Other times this means using the best solutions the community has to offer. We use cloud services, open source software, and commodity hardware as far as possible. Knowing what to build and what to reuse lets us avoid wasting time on solved problems and focus on delivering actual value. [What it is like working here] We build products that serve a variety of agency users, who use them to solve highly meaningful problems pertinent to our society, from transportation, to education, to healthcare. The public sector is full of opportunities where even the simplest software can have a big impact on people’s lives. We are here to improve how we live as a society through what we can offer as a government. Rapid Prototyping - Instead of spending too much time debating ideas we prefer testing them. This identifies potential problems quickly, and more importantly, conveys what is possible to others easily. Reliable Productization - To scale an idea, a prototype or a Minimum Viable Product to a software product, we scrutinize and commit to its usability, reliability, scalability and maintainability. Ownership - In addition to technical responsibilities, this means having ideas on how things should be done and taking responsibility for seeing them through. Building something that you believe in is the best way to build something good. Continuous Learning - Working on new ideas often means not fully understanding what you are working on. Taking time to learn new architectures, frameworks, technologies, and even languages is not just encouraged but essential. We work mostly in Python, JavaScript and Scala. We are looking for proficiency in at least one language and the ability to learn. Strong passion in software engineering is what matters to us. 3+ years full stack software engineering experience in building scalable products Experience with ETL and implementing efficient data pipelines Exposure to cloud or on-prem production environment, and experience in deployment Understanding of devops, CI/CD Have a demonstrated ability in writing efficient code and building software Can write code to solve abstract problems and think critically on how to get the code correct and cover the edge cases Can talk and reason about code with other engineers Have an interest in data science and machine learning Take the initiative to make things happen Want to work for the public good What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.  Please note that this will be a 2-year fixed term contract. Learn more about life inside GovTech at go.gov.sg/GovTechCareers. Stay connected with us on social media at go.gov.sg/ConnectWithGovTech", "summaryDescription" : "Data Engineer, Data Programme at GovTech", "postedDate" : "2026-06-14T21:00:53.401", "createdAt" : "2026-06-14T21:00:53.401", "lastUpdated" : "2026-06-16T06:16:46.663", "ingestTimestamp" : "2026-06-14T21:00:53.401", "mongoId" : "6a2ca53574d8ee00a09b52c1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2cb0de74d8ee00a09db551", "title" : "Senior Data and Platform Engineer", "company" : "Avantos", "industry" : "Engineering", "salary" : { "min" : 165000.0, "max" : 225000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on 2024-2025 market data for a Senior Data and Platform Engineer in New York, United States, with adjustments for seniority, company size, and the FinTech industry." }, "location" : "New York City", "locations" : [ "New York City" ], "timestamp" : "2026-06-16T01:43:36.688", "fingerprint" : "791ee05e9a932c88a1a3dc229ccc6d96b88ddb4135d2238f2514febf83289574", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/avantos/4b2dc531-155c-4d8a-97b7-d89e27a59c12/application", "externalId" : "4b2dc531-155c-4d8a-97b7-d89e27a59c12", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" }, { "country" : "United States", "continent" : "na", "workMode" : "remote" }, { "country" : "Canada", "continent" : "na", "workMode" : "remote" } ], "locationText" : "New York, New York, United States; United States; Canada", "employmentType" : "FULL_TIME", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Golang, SQL, Terraform, AWS, Python, Docker, Kubernetes, LLMs, RAG, Vector search", "professionalSkills" : [ "Backend system design", "API design", "Data modeling", "System design" ], "hardSkillsList" : [ "Data engineering", "Platform engineering", "Backend infrastructure" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Platform engineering", "level" : "intermediate" }, { "name" : "Backend infrastructure", "level" : "intermediate" } ], "majorSkills" : "Data platform, AI systems, Infrastructure", "majorSkillsList" : [ "Data platform", "AI systems", "Infrastructure" ], "coreResponsibilities" : "Design backend systems, Implement backend systems, Design data platform, Build data platform, Create scalable systems, Design data models, Design APIs, Make decisions about schemas, Make decisions about indexes, Make decisions about migrations, Make decisions about performance, Own infrastructure for data workloads, Own infrastructure for AI workloads, Enable self-serve data workflows, Improve observability, Improve reliability, Improve performance, Support AI/ML systems, Build tooling for document processing, Build tooling for metadata, Build tooling for normalization", "teamCollaboration" : "Engineering teams; Product teams", "domainKnowledge" : "Fintech; Regulated systems", "domainList" : [ "fintech", "regulated-systems" ], "domainSpecificKnowledge" : [ "Fintech", "Regulated systems" ], "toolProficiency" : [ "Terraform", "AWS", "Docker", "Kubernetes" ], "problemSolvingSkills" : "Performance; Reliability; Failure modes", "specialRequirements" : "Startup environment", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "SENIOR DATA & PLATFORM ENGINEER \uD83D\uDCCD NYC (HYBRID) OR US REMOTE | COMPETITIVE + EQUITY ABOUT AVANTOS Avantos is building the AI-native operating system for financial services — transforming fragmented data into a single, intelligent system that powers workflows, automation, and decision-making. We’re a product-led, fast-moving team at the intersection of AI, fintech, and modern infrastructure. THE ROLE We’re looking for a Senior Data & Platform Engineer to build the data and core platform and infrastructure layer that powers our AI systems. This is not just about pipelines — it’s about creating the systems, tooling, and abstractions that enable engineers and AI workflows to move fast, safely, and reliably. WHAT YOU’LL DO - Design and implement core backend systems and integrations that power the product. - Design and build our data platform (orchestration, pipelines, developer workflows) - Create scalable systems for data ingestion, transformation, and access - Design data models and APIs that won’t collapse under growth. - Make sane decisions about schemas, indexes, migrations, and performance. - Own infrastructure for data + AI workloads (containers, orchestration, cloud services) - Enable self-serve data workflows for engineering and product teams - Improve observability, reliability, and performance across the data stack - Support AI/ML systems (embeddings, vector data, model pipelines) - Build tooling for document processing, metadata, and normalization WHAT WE’RE LOOKING FOR - 7+ years in data engineering, platform engineering, or backend infrastructure - A track record of shipping and owning production systems. - Strong systems thinking (not just pipelines — platform mindset) - Backend system design and API design - Data modeling and relational databases - Performance, reliability, and failure modes - Proficiency in Golang, SQL, Terraform, AWS - Comfort in a fast-moving startup environment BONUS - LLMs / RAG, vector search, fintech or regulated systems - Have startup or early-stage experience. WHY JOIN - Build the foundation layer of an AI-native product - High ownership + direct impact - Work where data, platform, and AI converge THE FIT You’re someone who doesn’t just move data — you build the systems that make data usable at scale.", "summaryDescription" : "Senior Data and Platform Engineer at Avantos. Skills: Data platform, AI systems, Infrastructure. Design backend systems. Implement backend systems", "createdAt" : "2026-06-14T20:21:52.028", "lastUpdated" : "2026-06-16T01:43:36.688", "ingestTimestamp" : "2026-06-14T20:21:52.028", "mongoId" : "6a2cb0de74d8ee00a09db551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 165000, "salaryAnnualMax" : 225000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data engineering", "Platform engineering", "Backend infrastructure", "Data platform", "AI systems", "Infrastructure", "Backend system design", "API design", "Data modeling", "System design", "Fintech", "Regulated systems", "Terraform", "AWS", "Docker", "Kubernetes" ], "skillCount" : 16, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307653f292fd229c01868b", "title" : "Data Reporter, Senior Data Reporter", "company" : "Financial Times", "industry" : "Media", "salary" : { "min" : 145000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Reporter in New York, United States, with adjustments for the media industry and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T11:05:22.596", "fingerprint" : "841d880dee9c0cb749a04eed70320c7034a93595b270ca6b0d46acd3cd552bdc", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/financialtimes33/jobs/4895510101", "externalId" : "4895510101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "New York, New York, United States", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Python, R, Excel, APIs, Databases, Web scraping, HTML, CSS, JavaScript, D3", "professionalSkills" : [ "Data acquisition", "Data cleaning", "Data analysis", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling" ], "hardSkillsList" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Data interpretation", "level" : "intermediate" }, { "name" : "Data visualisation", "level" : "intermediate" }, { "name" : "Journalistic integrity", "level" : "intermediate" } ], "majorSkills" : "Data journalism, Data analysis, Visual storytelling, Data visualisation", "majorSkillsList" : [ "Data journalism", "Data analysis", "Visual storytelling", "Data visualisation" ], "coreResponsibilities" : "Develop original, data-driven stories, Source datasets, Collect datasets, Clean datasets, Analyse datasets, Build compelling charts, Build graphics, Build interactive visualisations, Identify trends within datasets, Identify anomalies within datasets, Identify opportunities within datasets, Run analytical projects, Complete analytical projects, Complete shorter-term assignments, Collaborate with reporters, Collaborate with editors, Collaborate with visual journalists, Support colleagues, Use public records, Use databases, Use APIs, Use web scraping techniques, Use proprietary datasets, Ensure reporting meets highest standards, Ensure analysis meets highest standards, Contribute to development of data journalism capabilities", "teamCollaboration" : "Cross-functional teams; Reporters and editors; Data visualisation team", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Institutional investing; Wealth management; Financial advisory industry", "domainList" : [ "institutional-investing", "wealth-management", "financial-advisory-industry" ], "domainSpecificKnowledge" : [ "Institutional investing", "Wealth management", "Financial advisory industry" ], "toolProficiency" : [ "Flourish", "Adobe Illustrator" ], "communicationSkills" : "Translate quantitative findings", "problemSolvingSkills" : "Data analysis", "outcomesObjectives" : "Produce exclusive, data-driven reporting; Produce visual storytelling; Create engaging visualisations; Create interactive content; Deliver insights readers cannot find elsewhere; Enhance storytelling; Enhance audience engagement; Uncover new reporting opportunities", "qualificationsBasic" : "Demonstrated experience producing data-driven journalism, Interest in data journalism, Interest in visual storytelling, Interest in financial or business news, Proven track record to identify, analyse and communicate compelling stories through data, Experience using Python or R for data acquisition, cleaning, analysis and reporting, Proficiency with Excel, Experience working with APIs, Experience working with databases, Experience working with web scraping techniques, Knowledge of data visualisation standard processes, Exceptional attention to detail, Commitment to accuracy, Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences, Communication skills, Collaboration skills, Project management skills, Experience working successfully within cross-functional teams, Experience working in time-sensitive environments", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About Us The Financial Times is one of the world’s leading news organisations, globally recognised for its authority, integrity and accuracy, with a mission to deliver quality information and services worldwide. At the FT, curiosity thrives and ambitious thinking is rewarded. Here, you’re given the chance to reach millions, create work that matters and deliver impartial journalism in a polarised world. In our warm, collaborative culture, you’ll connect with a diverse community of experts who support your growth, career aspirations and wellbeing. Your future at the FT will be filled with opportunities that challenge and inspire you. With no fixed path, you’ll discover new skills and forge a career that can take you anywhere. Build a newsworthy career at the FT. Our Commitment to Equity in the Workplace We believe in the power of unique perspectives and want all voices in our organisation to be heard, respected and valued. A supportive workplace is one where employees feel they can be themselves and operate to their full potential. We are committed to removing barriers for everyone, with a focus on addressing those faced by underrepresented groups. The Role / Position Overview FT Specialist is seeking a Data Reporter / Senior Data Reporter to join our growing data journalism team, producing exclusive, data-driven reporting and visual storytelling for FundFire and Financial Advisor IQ. This role sits at the intersection of journalism, data analysis and visual design. You will be responsible for sourcing, cleaning, analysing and interpreting complex datasets to uncover original stories covering institutional investments, wealth management and the financial advisory industry. You will also create engaging visualisations and interactive content that help our journalism stand out and deliver insights readers cannot find elsewhere. Working as part of a six-person data visualisation team, you will collaborate closely with reporters and editors across both publications while reporting to the Managing Editor of Data Visualization. The successful candidate will be equally comfortable developing ambitious long-term investigative and analytical projects as well as delivering shorter-turnaround stories that respond to emerging industry trends and news events. We are looking for a curious, collaborative and entrepreneurial journalist who is passionate about using data to reveal meaningful stories and who is committed to continually developing their skills in a fast-evolving newsroom environment. Key Responsibilities Develop original, data-driven stories covering institutional investing, wealth management and financial advisory businesses. Source, collect, clean and analyse structured and unstructured datasets using a range of journalistic and analytical techniques. Build compelling charts, graphics and interactive visualisations that enhance storytelling and audience engagement. Identify trends, anomalies and opportunities within datasets that lead to exclusive reporting. Run and complete both long-term analytical projects and shorter-term assignments driven by current events . Collaborate with reporters, editors and visual journalists across FundFire and Financial Advisor IQ. Support colleagues in applying data journalism procedures and interpreting quantitative information accurately. Use public records, databases, APIs, web scraping techniques and proprietary datasets to uncover new reporting opportunities. Ensure all reporting and analysis meets the highest standards of accuracy, transparency and journalistic integrity. Contribute to the ongoing development of data journalism capabilities across FT Specialist. Required Skills / Experience Demonstrated experience producing data-driven journalism, business reporting or analytical storytelling in a newsroom or comparable environment. Strong interest in data journalism, visual storytelling and financial or business news. Proven track record to identify, analyse and communicate compelling stories through data. Experience using Python or R for data acquisition, cleaning, analysis and reporting. Strong proficiency with Excel and other data analysis tools. Experience working with APIs, databases and web scraping techniques. Knowledge of data visualisation standard processes and experience using tools such as Flourish, Adobe Illustrator, HTML, CSS, JavaScript, D3 or comparable front-end technologies. Exceptional attention to detail and commitment to accuracy. Ability to translate complex quantitative findings into clear and engaging journalism for non-technical audiences. Strong communication, collaboration and project management skills. Experience working successfully within cross-functional teams and time-sensitive environments. What’s in it for You? Our Benefits Our benefits vary by location but we are committed to providing best-in-class perks across all our offices. These include generous annual leave, medical cover, inclusive parental leave packages, subsidised gym memberships and opportunities to give back to the community. Full details of our benefits are available here: https://aboutus.ft.com/careers/benefits. We’ve embraced a 50% hybrid working model (averaging two to three days onsite) that fosters trust and remote adaptability while encouraging in-person camaraderie and peer learning. Additionally, we are open to accommodating specific flexible working pattern requests for all roles where feasible. Accessibility We are committed to creating an inclusive and accessible recruitment process. Please let us know if you require any reasonable adjustments or accommodations during the application process or interview stage. If you would like to discuss your requirements, please contact talent@ft.com and a member of our team will be happy to help. Further Information A reasonable estimate of the salary range for this role is $75,000-$95,000. The upper end of the scale reflects pay of someone who comes in at the senior reporter level, with confirmed experience and strong work to show. Earlier career candidates will be considered for reporter-level roles. To ensure pay fairness, the successful candidate will be offered a salary within the estimated salary range based on a number of considerations including but not limited to: skills; experience and training; certifications; and other business and organisational needs. The disclosed range estimate is for our NYC office and has not been adjusted for other locations. This role is part of the FT Specialist US Guild and covered under a collective bargaining agreement with the Writers’ Guild of America East. At the FT, we embrace innovation and the use of technology and appreciate that individuals may use AI tools as part of their job application process. Whilst we are happy for you to use AI to assist with your application, it is crucial that all information provided is authentic and accurately represents your skills, experience, and qualifications. Candidates should be aware that the use of AI throughout the application process may be monitored to ensure a fair and transparent hiring process for all. Please beware of fraudulent job postings and offers claiming to be from the Financial Times. All legitimate opportunities will direct you to apply through the official Financial Times careers site, and the FT will never ask for financial information, payments, or referrals to third parties during the hiring process. If you have any concerns about the legitimacy of a job posting or suspect any scam activity, please contact talent@ft.com. Interested in the FT but don’t see the right role yet? Join our Talent Community to receive exclusive updates, featured jobs, and insights into working at the FT.", "summaryDescription" : "Data Reporter, Senior Data Reporter at Financial Times. Skills: Data journalism, Data analysis, Visual storytelling, Data visualisation. Develop original, data-driven stories. Source datasets", "postedDate" : "2026-06-16T01:20:06.423", "createdAt" : "2026-06-16T01:20:06.423", "lastUpdated" : "2026-06-16T11:05:22.596", "ingestTimestamp" : "2026-06-16T01:20:06.423", "mongoId" : "6a307653f292fd229c01868b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 210000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Quantitative analysis", "Data interpretation", "Data visualisation", "Journalistic integrity", "Data journalism", "Data analysis", "Visual storytelling", "Data acquisition", "Data cleaning", "Reporting", "Storytelling", "Visualisation", "Interactive content", "Journalistic techniques", "Analytical projects", "Investigative projects", "Business reporting", "Analytical storytelling", "Project management", "Institutional investing", "Wealth management", "Financial advisory industry", "Flourish", "Adobe Illustrator" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.98 }, { "id" : "6a16291c58b93c861e95a08c", "title" : "Utility Data and Modeling Analyst", "company" : "HDR", "salary" : { "min" : 85000.0, "max" : 115000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data adjusted for mid-seniority, Saint Louis Park city tier, and the engineering/consulting industry." }, "location" : "Multiple Locations", "locations" : [ "Multiple Locations" ], "timestamp" : "2026-06-16T02:46:45.498", "fingerprint" : "750234fde7fa9a6099369120843b7d86c965903252b6816af102bf9bdbb7676d", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=779912", "externalId" : "779912", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Saint Louis Park", "state" : "Minnesota", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "44.9475726,-93.3569023" } ], "locationText" : "Saint Louis Park, Minnesota, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "SQL, Power Query, Pandas, Python, R, Plotly, Seaborn, Matplotlib", "professionalSkills" : [ "Data engineering", "Business intelligence", "Data science", "Organizational skills" ], "hardSkillsList" : [ "Data modeling" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data modeling", "majorSkillsList" : [ "Data analysis", "Data modeling" ], "coreResponsibilities" : "Handle confidential information, Prioritize and handle multiple tasks, Manage various managers", "teamCollaboration" : "Employee-owned culture", "domainKnowledge" : "Utility data", "domainList" : [ "utility-data" ], "domainSpecificKnowledge" : [ "Utility data" ], "toolProficiency" : [ "MS Office", "Power BI", "Tableau" ], "communicationSkills" : "Grammar; Punctuation; Proofreading; Spelling; Telephone skills", "qualificationsBasic" : "Degree in closely related field or education/experience combination, Proficiency with MS Office, Proficiency with data engineering tools and languages, Proficiency with business intelligence tools, Proficiency with data science languages, Ability to handle confidential information, Excellent writing and people skills, Math and organizational skills, Flexibility and ability to prioritize, Handle multiple tasks and various managers, Excellent verbal and written communication skills, Commitment to being an active participant of employee-owned culture", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Flexible", "rawDescription" : "Required Qualifications A degree in a closely related field or combination of education and relevant experience Self-motivated, detail-oriented professional, ability to multitask a must Proficiency with MS Office including Word and Outlook Proficiency with data engineering tools and languages such as SQL, Power Query, and Pandas Proficiency with business intelligence tools such as Power BI, Tableau, Plotly, Seaborn, and Matplotlib Proficiency with data science languages such as Python and R Ability to handle confidential information Excellent writing and people skills Strong math and organizational skills Flexibility and ability to prioritize and handle multiple tasks and various managers in a fast-paced environment Excellent verbal and written communication skills including grammar, punctuation, proofreading, spelling and telephone skills An attitude and commitment to being an active participant of our employee-owned culture is a must What We Believe HDR is our company. Together, we build on each other's life experiences and perspectives to make great things possible every day. This shapes our collaborative culture, encourages organizational trust and connects us closer to the clients and communities we serve. Our Commitment As employee owners, we all have a role in creating an inclusive environment where each of us is welcomed, valued, respected and empowered to bring our authentic selves to work every day. Our eight Employee Network Groups (Asian Pacific, Black, Hispanic/Latino(a), LGBTQ+, People with Disabilities, Veterans, Women, Young Professionals) help create a sense of belonging and foster a supportive environment where everyone is empowered to engage and contribute. Each group has an executive sponsor and is open to all employees. United States-Minnesota-Saint Louis Park", "summaryDescription" : "Utility Data and Modeling Analyst at HDR. Skills: Data analysis, Data modeling. Handle confidential information. Prioritize and handle multiple tasks", "createdAt" : "2026-06-14T21:31:19.547", "lastUpdated" : "2026-06-16T02:46:45.498", "ingestTimestamp" : "2026-06-14T21:31:19.547", "mongoId" : "6a16291c58b93c861e95a08c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 115000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "Data analysis", "Data engineering", "Business intelligence", "Data science", "Organizational skills", "Utility data", "MS Office", "Power BI", "Tableau" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a306744f292fd229cfbb1ab", "title" : "Data Scientist", "company" : "Tactile Medical", "industry" : "Healthcare", "salary" : { "min" : 100500.0, "max" : 150675.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Corporate", "locations" : [ "Corporate" ], "timestamp" : "2026-06-16T11:10:49.753", "fingerprint" : "f718036c327c571fbaaee5e06aa45e9f62564105866497cd0528d10a0ff5e709", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tactilemedical/jobs/4282685009", "externalId" : "4282685009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 7, "experienceLevel" : "Mid", "technicalSkills" : "Python, SQL, Salesforce CRM", "professionalSkills" : [ "Predictive modeling", "Data science", "Machine learning" ], "hardSkillsList" : [ "Causal inference", "Predictive analytics", "Statistical modeling" ], "hardSkills" : [ { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Predictive analytics", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Data science, Machine learning, Predictive modeling", "majorSkillsList" : [ "Data science", "Machine learning", "Predictive modeling" ], "coreResponsibilities" : "Build causal inference models, Develop predictive analytics, Train commercial team users, Communicate model pipeline status, Collect internal stakeholder needs, Manage assigned projects", "teamCollaboration" : "Marketing leadership; Market access leadership; Sales excellence leadership; Commercial leadership", "domainKnowledge" : "Healthcare claims data; Referral-based commercial models; Payer coverage dynamics; Prior authorization processes; DME reimbursement; Medical device reimbursement", "domainList" : [ "healthcare-claims-data", "referral-based-commercial-models", "payer-coverage-dynamics", "prior-authorization-processes", "dme-reimbursement", "medical-device-reimbursement" ], "domainSpecificKnowledge" : [ "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement" ], "toolProficiency" : [ "Power BI", "Fabric" ], "communicationSkills" : "Translate technical findings", "problemSolvingSkills" : "Intellectual curiosity", "qualificationsBasic" : "Bachelor's degree in quantitative field, 4-7 years applied data science experience, 4-7 years machine learning experience, Experience creating predictive models for non-data-scientists, Expert-level Python skills, Expert-level SQL skills, Transform messy healthcare data", "qualificationsPreferred" : "Master's or PhD in quantitative field, Survival analysis experience, Salesforce data architecture familiarity, Power BI development experience, Tableau development experience", "rawDescription" : "At Tactile Medical, we specialize in developing at-home therapy devices to treat lymphedema, chronic venous insufficiency and respiratory illnesses. Position Summary The Marketing Data Scientist is the predictive intelligence engine of TCMD's Marketing and Market Access organization. The primary work is finding connections in TCMD's data that no one has looked for yet, building predictive models, and translating validated models into forward-looking tools. This individual synthesizes insights from Tactile’s internal and external data platforms to develop and explore hypotheses for growth. The role's mission is to surface predictive insights from these systems that inform commercial strategy before decisions are finalized. This role collaborates closely with marketing and market access leadership along with sales excellence and commercial leadership. Accountabilities building causal inference models isolating incremental referral lift from specific marketing programs • Develop predictive analytics supporting payer targeting and coverage expansion opportunities • Train commercial team users on how to interpret and act on model outputs and the specific decisions the model is designed to support • Communicate within marketing and market access on status of model pipeline and backlog; routinely collect voice of internal stakeholder needs to drive continuous improvement in data driven decision making • Manage assigned projects to completion on time, within scope, and within budget. • Other duties as assigned. Qualifications Required: • Bachelor's degree in data science, statistics, mathematics, computer science, economics, or a quantitative field with strong statistical foundations • 4-7 years applied data science or machine learning experience, applied in commercial or operational environments • Experience creating predictive models for non-data-scientists to make real commercial or operational decisions • Comfort with messy healthcare commercial data, intellectual curiosity, and the communication discipline to translate technical findings into commercial language • Expert-level modern data science skills in Python and SQL working with structured data and machine-learning frameworks; version-controlled code development and deployment • Ability to transform messy, real-world healthcare data with missing values, inconsistent coding, and multiple granularities into reliable predictive model inputs • Working knowledge of Salesforce CRM architecture, healthcare claims data, Power BI/Fabric deployment environments Preferred: • Master's or PhD in quantitative field • Understanding of referral-based commercial models, payer coverage dynamics, prior authorization processes, and DME/medical device reimbursement • Survival analysis experience — has applied time-to-event modeling in a commercial context (e.g., customer churn, time-to-conversion, time-to-renewal). Particularly relevant for funnel stage duration modeling and HCP churn prediction • Salesforce data architecture familiarity — understands the Salesforce object model well enough to write efficient queries and build reliable features from CRM data without requiring a Salesforce administrator to extract data • Power BI or Tableau development experience sufficient to deploy model scoring outputs as operational dashboards • Experience in a B2B2C or referral-based commercial model where the customer and the end user are different Our total compensation package includes medical, dental and vision benefits, retirement benefits, employee stock purchase plan, paid time off, parental leave, family medical leave, volunteer time off and additional leave programs, life insurance, disability coverage, and other life and work wellness benefits and discounts. Benefits may be subject to generally applicable eligibility, waiting period, contributions, and other requirements and conditions. Below is the starting salary or hourly range for this position, although offers may differ based on the candidate's location, job-specific knowledge, skills and experience. US Pay Range $100,500—$150,675 USD To learn more about our Privacy Statement follow this link - https://tactilemedical.com/privacy-statement/ To learn more about our California Privacy Notice follow this link - https://tactilemedical.com/california-privacy-notice/", "summaryDescription" : "Data Scientist at Tactile Medical. Skills: Data science, Machine learning, Predictive modeling. Build causal inference models. Develop predictive analytics", "postedDate" : "2026-06-15T23:28:42.042", "createdAt" : "2026-06-15T23:28:42.042", "lastUpdated" : "2026-06-16T11:10:49.753", "ingestTimestamp" : "2026-06-15T23:28:42.042", "mongoId" : "6a306744f292fd229cfbb1ab", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100500, "salaryAnnualMax" : 150675, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Causal inference", "Predictive analytics", "Statistical modeling", "Data science", "Machine learning", "Predictive modeling", "Healthcare claims data", "Referral-based commercial models", "Payer coverage dynamics", "Prior authorization processes", "DME reimbursement", "Medical device reimbursement", "Power BI", "Fabric" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca53574d8ee00a09b52c0", "title" : "Data Engineer, Data Practice", "company" : "GovTech", "industry" : "Government", "salary" : { "min" : 105000.0, "max" : 155000.0, "currency" : "SGD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Data Engineer in Singapore's technology industry, adjusted for company size and onsite work mode." }, "location" : "Data Engineering Practice", "locations" : [ "Data Engineering Practice" ], "timestamp" : "2026-06-16T03:21:21.901", "fingerprint" : "8490a2e439a3c7d7898086469705247c468de4949a46b0c423726870413448dd", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://jobs.careers.gov.sg/jobs/greenhouse/4003992201?gh_jid=4003992201", "externalId" : "4003992201", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Singapore", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "Singapore", "rawDescription" : "The Government Technology Agency (GovTech) is the lead agency driving Singapore’s Smart Nation initiatives and public sector digital transformation. As the Centre of Excellence for Infocomm Technology and Smart Systems (ICT & SS), GovTech develops the Singapore Government’s capabilities in Data Science & Artificial Intelligence, Application Development, Smart City Technology, Digital Infrastructure, and Cybersecurity. At GovTech, we offer you a purposeful career to make lives better. We empower our people to master their craft through continuous and robust learning and development opportunities all year round. Our GovTechies embody our Agile, Bold and Collaborative values to deliver impactful solutions. GovTech aims to transform the delivery of Government digital services by taking an \"outside-in\" view, putting citizens and businesses at the heart of everything we do. Play a part in Singapore’s vision to build a Smart Nation and embark on your meaningful journey to build tech for public good. Join us to advance our mission and shape your future with us today! Learn more about GovTech at tech.gov.sg GovTech Data Practice The Data Practice drives innovation and sets best practices for the effective and responsible use of data across the Whole-of-Government (WOG). We work at the intersection of data engineering, AI, privacy, and governance - developing standards, platforms, and tools that enable agencies to build high-quality data products and unlock the value of data for public good. Today, most organisations still struggle with data that is fragmented, inconsistent, and hard to use, alongside AI that is powerful but brittle without strong data foundations, and privacy policies that are difficult to operationalise. We are changing that at a national scale. We are reimagining data engineering itself through AI for Data Engineering (AIDE), which introduces self-improving data pipelines that detect, fix, and optimise themselves, AI-assisted data modelling and quality management at scale, and semantic, context-aware data layers that make data instantly usable for AI. Underpinned by standardised, AI-native architectures, this ensures every agency can build strong foundations from day one. At the same time, a Trusted Data Nation only works if data can be used without compromising privacy or security. We operationalise Privacy-Enhancing Technologies (PETs) into real capabilities, including federated computing to unlock insights without moving data, differential privacy and synthetic data to enable safe sharing, and trusted execution environments to compute on sensitive data securely. Alongside this, we build the golden paths for Singapore by creating reference architectures, reusable components, standard data platforms, and engineering playbooks that scale quality across government. [What you will be working on] You will be involved in: Experimentation and exploration a. Explore AI possibilities that can supercharge data engineering processes. b. Experiment with the latest advancements and translate them into practical capabilities for government. c. Make what is possible accessible to all, driving impact across government and beyond Singapore. d. Build an AI-ready Singapore. Agency Partnership & Pilot Implementation a. Collaborate directly with government agencies to deeply understand their unique privacy challenges and operational constraints b. Design and execute pilots at agencies to test prototype solutions c. Systematically gather user feedback and iterate on solutions based on practical deployment experiences and lessons learned d. Provide ongoing technical consultation and hands-on support to agencies End-to-End Solution Innovation & Development a. Identify opportunities where exploratory technologies can address current common data challenges across government b. Architect and develop scalable solutions designed for widespread adoption across the Whole of Government ecosystem c. Establish clear implementation pathways and adoption frameworks for new technologies Cross-Functional Collaboration a. Work as a collaborative team player alongside fellow data engineers, data scientists, software engineers, and product managers b. Partner strategically with government agencies to align technical solutions with the evolving landscape of regulatory requirements and governance frameworks Strategic Direction & Technical Leadership (for more senior hires) a. Identify and evaluate emerging technologies and their relevance for government use cases b. Shape the team’s direction by defining high-impact problem areas and prioritising initiatives c. Scope and drive projects end-to-end, from early exploration through to scaled deployment across agencies d. Engage stakeholders across policy, engineering, and vendors to align on problem framing and solution design e. Mentor team members and contribute to building a strong, high-performing team [What we are looking for] Bachelor’s degree or higher in Computer Science, Data Science, Business Analytics or a related field, with at least 5-8 years of relevant professional experience. Candidates will be assessed based on their experience and may be considered at the intermediate or senior level. Core Data Engineering skillset • Deep understanding of system design, data structure and algorithms, data modelling, data access, and data storage. • Demonstrated ability in using cloud technologies such as AWS, Azure, and Google Cloud. Prior experience • Experience in architecting data and IT systems. • Strong SQL skills and experience working with analytical data warehouses • Strong Python engineering skills • Experience working with LLM APIs or AI-assisted engineering workflows • Prior experience working in multi-disciplinary teams. Mindset & Collaboration • Curiosity and willingness to learn new domains • Inclination to work in a collaborative, fast-moving Agile environment. • Strong in communication with the ability to explain complex technical concepts clearly to diverse audience What we offer you: GovTech is an equal opportunity employer committed to fostering an inclusive workplace that values diverse voices and perspectives, as we believe that diversity is the foundation to innovation.    Our employee benefits are based on a total rewards approach, offering a holistic and market-competitive suite of perks. These include leave benefits to meet your work-life needs and employee wellness programs.  We champion flexible work arrangements (subject to your job role) and trust that you will manage your own time to deliver your best, wherever you are, and whatever works best for you.  Learn more about life inside GovTech at go.gov.sg/GovTechCareers. Stay connected with us on social media at go.gov.sg/ConnectWithGovTech", "summaryDescription" : "Data Engineer, Data Practice at GovTech", "postedDate" : "2026-06-14T20:08:47.806", "createdAt" : "2026-06-14T20:08:47.806", "lastUpdated" : "2026-06-16T03:21:21.901", "ingestTimestamp" : "2026-06-14T20:08:47.806", "mongoId" : "6a2ca53574d8ee00a09b52c0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "69ce5e3b9bc74574cb677aec", "title" : "T6_Chief Data and AI Architect", "company" : "MBRDI", "industry" : "Manufacturing", "salary" : { "min" : 6000000.0, "max" : 9000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an Executive Chief Data and AI Architect in Bangalore, India, adjusted for industry and company size." }, "location" : "India-Karnataka-Bangalore", "locations" : [ "India-Karnataka-Bangalore", "Brigade Tech Gardens, Katha No. 119, Kundalahalli Village, K.R. Puram Hobli, Ward No. 85, Bangalore" ], "certifications" : [ "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning" ], "timestamp" : "2026-06-15T10:23:16.352", "fingerprint" : "370e2b00770dd492a2575292193f9eb76fd8365da30dfb9faa3fab6b2d172cdd", "source" : "taleo", "language" : "en", "applyUrl" : "https://daimler.taleo.net/careersection/ex/jobdetail.ftl?job=877618", "externalId" : "877618", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "state" : "Karnataka", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, Karnataka, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 10, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Data Architecture, Data Engineering, AI, ML, Spark, Dbt, Kafka, Databricks, Synapse, Snowflake, APIs, Python, R, Scala, TensorFlow, PyTorch, Azure ML, SageMaker, Delta Lake, AWS, GCP, Azure", "professionalSkills" : [ "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence" ], "hardSkillsList" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Model lifecycle management", "level" : "intermediate" }, { "name" : "Model versioning", "level" : "intermediate" }, { "name" : "Model monitoring", "level" : "intermediate" }, { "name" : "Risk assessment", "level" : "intermediate" } ], "majorSkills" : "Data Architecture, AI, ML, Data Engineering", "majorSkillsList" : [ "Data Architecture", "AI", "ML", "Data Engineering" ], "coreResponsibilities" : "Design scalable data architectures, Oversee data ingestion, Oversee data integration, Oversee data transformation, Define metadata best practices, Define data lineage best practices, Define data quality best practices, Lead data model development, Lead data pipeline development, Lead data transformation development, Enable self-serve analytics, Identify AI/ML use cases, Evaluate AI/ML use cases, Design AI solutions, Build AI pipelines, Build ML pipelines, Promote responsible AI, Define AI governance frameworks, Implement AI governance frameworks, Establish model policies, Act as thought leader, Inspire cross-functional teams, Mentor cross-functional teams, Facilitate knowledge sharing, Promote technical excellence, Promote curiosity", "teamCollaboration" : "Cross-functional teams; DevOps teams; Cloud teams; BI teams; Analytics teams; Data Scientists; MLOps engineers; Product owners", "domainKnowledge" : "Data lakehouse; Streaming data; Unstructured data; Structured data; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Responsible AI; Ethical AI; Model interpretability; GenAI", "domainList" : [ "data-lakehouse", "streaming-data", "unstructured-data", "structured-data", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "responsible-ai", "ethical-ai", "model-interpretability", "genai" ], "domainSpecificKnowledge" : [ "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI" ], "toolProficiency" : [ "Dbt Cloud", "Fivetran", "Airflow" ], "communicationSkills" : "Stakeholder communication; Technical concepts communication", "innovationCreativity" : "Innovation", "qualificationsBasic" : "Bachelor's or Master's degree, 10+ years experience, Cloud data platforms experience, AI/ML frameworks knowledge, Governance frameworks experience, Data privacy experience, MLOps experience, Excellent communication skills, Stakeholder management skills, Lead technical teams ability", "qualificationsPreferred" : "AI / GenAI usecase delivery experience, Model interpretability experience, Regulatory compliance experience, Enterprise data modernization experience, AI transformation programs experience, Cloud data architecture certifications, AI certifications", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "About MBRDI: Mercedes-Benz Research and Development India (MBRDI), headquartered in Bengaluru with a satellite office in Pune, is the largest R&D center for Mercedes-Benz Group AG outside of Germany. Our mission is to drive innovation and excellence in automotive engineering, digitalization, and sustainable mobility solutions, shaping the future of mobility. We are seeking a visionary Data and AI Chief Architect to lead the design, development, and governance of department wide data and AI solutions. This role requires a balance of deep technical expertise, architectural vision, and the ability to inspire cross-functional teams toward a unified data and AI strategy. As a key member of the architecture and innovation team, you will shape how data is collected, transformed, and leveraged across the organization — enabling scalable data engineering pipelines, responsible AI adoption, and the delivery of intelligent business outcomes. Key Responsibilities 1. Data Architecture & Engineering Design and implement modern, scalable data architectures (data lakehouse, streaming, APIs, etc.) to support analytics and AI workloads. Oversee data ingestion, integration, and transformation processes across structured and unstructured sources. Partner with DevOps and Cloud teams to ensure data platforms meet enterprise performance, security, and compliance standards. Define best practices for metadata management, data lineage, and data quality frameworks. 2. Data Transformation & Analytics Enablement Lead the development of robust data models, pipelines, and transformations using modern tools (e.g., Spark, dbt, Kafka, Databricks, Synapse, Snowflake, etc.). Collaborate with BI and analytics teams to ensure data is clean, contextual, and analytics-ready. Enable business units to self-serve and innovate through governed data products and APIs. 3. AI Use Case Discovery & Delivery Partner with business stakeholders to identify and evaluate high-impact AI/ML use cases. Provide technical leadership in designing AI solutions — from proof of concept to production deployment. Collaborate with Data Scientists and MLOps engineers to build scalable AI and machine learning pipelines. Promote responsible AI practices ensuring transparency, fairness, and explainability in all AI initiatives. 4. AI Governance & Strategy Define and implement frameworks for AI governance, including ethical AI guidelines, model lifecycle management, and compliance. Establish policies for model versioning, monitoring, and risk assessment. Act as a thought leader on AI maturity and innovation across the organization. 5. Cross-Functional Leadership & Inspiration Inspire and mentor cross-functional teams — including engineers, analysts, and product owners — toward data-driven and AI-powered ways of working. Facilitate knowledge sharing and promote a culture of technical excellence and curiosity. Communicate complex technical concepts to non-technical stakeholders effectively. Required Qualifications Bachelor’s or Master’s degree in Computer Science, Data Engineering, AI, or a related field. 10+ years of experience in data architecture, data engineering, or AI/ML solution design. Proven experience with cloud data platforms (Azure, AWS, or GCP) and modern data stack tools. Strong knowledge of AI/ML frameworks (TensorFlow, PyTorch, Azure ML, SageMaker, etc.). Experience with governance frameworks, data privacy, and MLOps. Excellent communication and stakeholder management skills. Demonstrated ability to lead and inspire technical teams. Preferred Qualifications Experience in AI / GenAI usecase delivery , model interpretability, and regulatory compliance. Prior experience leading enterprise data modernization or AI transformation programs. Certifications in cloud data architecture or AI (e.g., Azure Data Engineer/Architect, AWS Certified Machine Learning). Why Join Us? Be part of a purpose-driven organization that’s shaping the future of mobility. Work on cutting-edge technologies and global projects. Thrive in a collaborative, diverse, and inclusive environment. Access world-class infrastructure and learning opportunities. Equal Opportunity Statement: At MBRDI, we are committed to diversity and inclusion. We welcome applications from all qualified individuals, regardless of gender, background, or ability. Mercedes-Benz Research and Development India Private Limited", "summaryDescription" : "T6_Chief Data and AI Architect at MBRDI. Skills: Data Architecture, AI, ML, Data Engineering. Design scalable data architectures. Oversee data ingestion", "createdAt" : "2026-06-14T08:27:53.793", "lastUpdated" : "2026-06-15T10:23:16.352", "ingestTimestamp" : "2026-06-14T08:27:53.793", "mongoId" : "69ce5e3b9bc74574cb677aec", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data modeling", "Data ingestion", "Data integration", "Metadata management", "Data lineage", "Data quality", "Model lifecycle management", "Model versioning", "Model monitoring", "Risk assessment", "Data Architecture", "AI", "ML", "Data Engineering", "Solution design", "Stakeholder management", "Team leadership", "Thought leadership", "Knowledge sharing", "Technical excellence", "Data lakehouse", "Streaming data", "Unstructured data", "Structured data", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Responsible AI", "Ethical AI", "Model interpretability", "GenAI", "Azure Data Engineer", "Azure Architect", "AWS Certified Machine Learning", "Dbt Cloud", "Fivetran", "Airflow" ], "skillCount" : 41, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Executive", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Automotive", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3087a4f292fd229c08b1f8", "title" : "Business Analyst, Data Masking and Compliance", "company" : "Capco", "industry" : "Consulting", "salary" : { "min" : 118000.0, "max" : 152000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Canada - Toronto", "locations" : [ "Canada - Toronto" ], "timestamp" : "2026-06-16T12:32:44.174", "fingerprint" : "f519232f48132c719665d37d19932956dfa1532fec2df391bf8a340f99776803", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/capco/jobs/8003346", "externalId" : "8003346", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Toronto", "state" : "Ontario", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.6534817,-79.3839347" } ], "locationText" : "Toronto, Ontario, Canada", "employmentType" : "FULL_TIME", "professionalSkills" : [ "Data governance", "Risk remediation", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement" ], "hardSkillsList" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics" ], "hardSkills" : [ { "name" : "Data masking standards", "level" : "intermediate" }, { "name" : "Evidence collection", "level" : "intermediate" }, { "name" : "Compliance reporting", "level" : "intermediate" }, { "name" : "Governance metrics", "level" : "intermediate" } ], "majorSkills" : "Data masking, Compliance, Risk remediation, Data governance", "majorSkillsList" : [ "Data masking", "Compliance", "Risk remediation", "Data governance" ], "coreResponsibilities" : "Assess applications against data masking standards, Identify compliance gaps, Identify remediation requirements, Partner with application owners, Understand application processes, Understand data flows, Understand masking requirements, Design evidence collection processes, Implement evidence collection processes, Demonstrate compliance through objective testing, Facilitate stakeholder discussions, Align business requirements with standards, Support adoption of required controls, Create compliance reporting, Track status, Generate governance metrics", "teamCollaboration" : "Partnering with stakeholders; Bridging business and technology teams; Application owners; Business stakeholders; Senior stakeholders", "projectManagementSkills" : [ "Audit remediation" ], "domainKnowledge" : "Data masking; Data governance; Banking; Payments; Enterprise technology; Risk management; Operational risk", "domainList" : [ "data-masking", "data-governance", "banking", "payments", "enterprise-technology", "risk-management", "operational-risk" ], "domainSpecificKnowledge" : [ "Data masking", "Data governance", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "communicationSkills" : "Stakeholder communication", "continuousLearning" : "Professional development; Industry-leading expertise", "problemSolvingSkills" : "Translating standards; Practical requirements", "outcomesObjectives" : "Strengthen data governance practices; Contribute to risk remediation program", "qualificationsBasic" : "Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services, Stakeholder management and communication skills, Ability to understand business processes, Experience performing data analysis, Process design, process engineering, or operational improvement experience", "qualificationsPreferred" : "Experience with data masking, Experience with data protection, Experience with privacy controls, Experience with information security programs, Knowledge of banking, Knowledge of payments, Knowledge of enterprise technology environments, Familiarity with audit remediation programs, Familiarity with regulatory examinations, Familiarity with control testing frameworks, Experience designing governance reporting, Experience designing compliance dashboards, Experience designing executive-level status reporting, Understanding of risk management frameworks, Understanding of operational risk practices", "rawDescription" : "Drive Enterprise Risk Remediation Through Data Governance Excellence The Role Capco is seeking a Business Analyst, Data Masking and Compliance to support a critical enterprise audit remediation initiative within a leading financial institution. This newly created role will focus on assessing application compliance against enterprise data masking standards, partnering with stakeholders to drive adoption, and establishing sustainable evidence collection and reporting processes. You will play a key role in bridging business and technology teams, helping application owners understand compliance requirements while ensuring regulatory and audit expectations are met. This is an opportunity to influence enterprise-wide controls, strengthen data governance practices, and contribute to a high-profile risk remediation program. What You’ll Do Assess and prioritize applications requiring review against enterprise data masking standards, identifying compliance gaps and remediation requirements. Partner with application owners and business stakeholders to understand application processes, data flows, and masking requirements. Design and implement evidence collection and validation processes that demonstrate compliance through objective testing rather than attestation alone. Facilitate stakeholder discussions to align business requirements with enterprise standards while supporting adoption of required controls. Create compliance reporting, status tracking, and governance metrics that integrate with broader audit remediation KRIs and KPIs. What We’re Looking For Experience delivering risk, compliance, audit remediation, data governance, or regulatory change initiatives within financial services. Strong stakeholder management and communication skills with the ability to build trust, influence outcomes, and navigate competing priorities. Ability to understand business processes and translate enterprise standards into practical application-level requirements. Experience performing data analysis and interpreting data flows, controls, and compliance requirements. Process design, process engineering, or operational improvement experience with a focus on scalable control frameworks. Bonus Points For Experience with data masking, data protection, privacy controls, or information security programs. Knowledge of banking, payments, and enterprise technology environments. Familiarity with audit remediation programs, regulatory examinations, or control testing frameworks. Experience designing governance reporting, compliance dashboards, and executive-level status reporting. Understanding of risk management frameworks and operational risk practices within large financial institutions. Why Join Capco Work on high-impact regulatory and risk transformation initiatives for leading financial institutions. Partner with senior stakeholders across business, technology, risk, and compliance functions. Join a collaborative, entrepreneurial consulting culture that values innovation and practical problem-solving. Access continuous learning, professional development, and industry-leading expertise. Help shape the future of data governance, compliance, and risk management within the financial services industry. Benefits Comprehensive Benefits Coverage – 100% company-paid health, life, and disability insurance effective from Day 1 of employment. Retirement Savings Program – RRSP with the option of receiving a matching employer contribution. Virtual Health Care and Employee & Family Assistance Program available to employees and their dependents. Enhanced parental leave benefits from Day 1 of employment, plus a company-sponsored new parent gift. Wellness reimbursement and a dedicated Business Coach from Day 1 to support your career growth and development. Why This Role Is Open We are currently hiring for this role due to an existing or newly created vacancy within our organization. This position is open as part of our ongoing business needs, and we are actively reviewing applications to fill this role with a qualified candidate who can make an immediate impact. Inclusion at Capco We’re committed to making our recruitment process accessible and straightforward for everyone. If you need any adjustments at any stage, just let us know – we’ll be happy to help. We value each person’s unique perspective and contribution. At Capco, we believe that being yourself is your greatest strength. Our #BeYourselfAtWork culture encourages individuality and collaboration – a mindset that shapes how we work with clients and each other every day. Use of Artificial Intelligence in Talent Acquisition At Capco, we use artificial intelligence (AI) tools to support and enhance several parts of talent acquisition. This includes using AI-enabled features within LinkedIn to help source potential candidates, speeding up routine recruitment communications such as emails and creating compelling and brand-aligned job postings that accurately reflect role requirements, and AI-scheduling applications to improve the efficiency of interview coordination. AI is used as a support tool only. All hiring decisions are made by talent acquisition and hiring teams. Pay Transparency The salary range for this position is listed below. Additionally, this position may also be eligible to receive an annual discretionary/variable bonus payment. Capco is committed to providing fair and equitable compensation to our people. Our compensation policies and salary ranges are designed to allow our people to progress through the salary range as they demonstrate strong performance and develop in their role over time. The base pay offered to selected candidates will be within the salary range and the placement will vary based upon a variety of factors, including, but not limited to job-related knowledge, skills, experience and internal equity. Canada Pay Transparency $118,000—$152,000 CAD", "summaryDescription" : "Business Analyst, Data Masking and Compliance at Capco. Skills: Data masking, Compliance, Risk remediation, Data governance. Assess applications against data masking standards. Identify compliance gaps", "postedDate" : "2026-06-16T01:20:47.212", "createdAt" : "2026-06-16T01:20:47.212", "lastUpdated" : "2026-06-16T12:32:44.174", "ingestTimestamp" : "2026-06-16T01:20:47.212", "mongoId" : "6a3087a4f292fd229c08b1f8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data masking standards", "Evidence collection", "Compliance reporting", "Governance metrics", "Data masking", "Compliance", "Risk remediation", "Data governance", "Stakeholder management", "Data analysis", "Process design", "Process engineering", "Operational improvement", "Audit remediation", "Banking", "Payments", "Enterprise technology", "Risk management", "Operational risk" ], "skillCount" : 19, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Financial Services", "llmIndustryConfidence" : 0.95 }, { "id" : "6931903470f0b99d58087a88", "title" : "Quality Specialist, AGI Data Services", "company" : "ADCI HYD 16 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 850000.0, "max" : 1400000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Specialist in Hyderabad, India, adjusted for the Technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-14T22:43:01.644", "fingerprint" : "477f7f1e4b06d56ff683ce90f32825c733d84361da9b751d3f6e59fd134234c7", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136743/apply", "externalId" : "19ed74ae-b367-4ddf-bf72-cec453db9307", "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 degree", "technicalSkills" : "Excel", "professionalSkills" : [ "Process improvement", "Data services", "Quality strategies" ], "hardSkillsList" : [ "Data analysis", "Process documentation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" } ], "majorSkills" : "Quality management, Process improvement, Data analysis", "majorSkillsList" : [ "Quality management", "Process improvement", "Data analysis" ], "coreResponsibilities" : "Define quality metrics, Implement quality metrics, Create prescriptive actions, Optimize workflow quality, Conduct side-by-sides, Identify workflow enhancement opportunities, Identify quality improvements, Analyze data trends, Develop solutions, Monitor quality performance, Coach operations teams, Create quality metrics reports, Maintain quality metrics reports, Handle customer escalations, Provide recommendations, Evaluate quality tools, Suggest improvements for quality tools, Maintain process documentation, Update process documentation", "teamCollaboration" : "Collaborate with customers; Collaborate with CPMs; Partner with operations; Partner with internal support teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data services; Machine Learning; Data labeling", "domainList" : [ "data-services", "machine-learning", "data-labeling" ], "domainSpecificKnowledge" : [ "Data services", "Machine Learning", "Data labeling" ], "toolProficiency" : [ "Excel" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Problem-solving; Analytical", "qualificationsBasic" : "Business English proficiency, Intermediate Excel skills, Experience in Machine Learning/Data Labeling, Process expertise in data services, Experience in coaching and process improvement, Analytical and problem-solving capabilities", "qualificationsPreferred" : "Experience with speech or language data, Ability to work in ambiguous environments, Project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling • Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities Preferred Qualifications: - * Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management 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" : "Quality Specialist, AGI Data Services at ADCI HYD 16 SEZ. Skills: Quality management, Process improvement, Data analysis. Define quality metrics. Implement quality metrics", "postedDate" : "2026-06-13T01:26:12.565", "createdAt" : "2026-06-13T01:26:12.565", "lastUpdated" : "2026-06-14T22:43:01.644", "ingestTimestamp" : "2026-06-13T01:26:12.565", "mongoId" : "6931903470f0b99d58087a88", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136743/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Process documentation", "Quality management", "Process improvement", "Data services", "Quality strategies", "Project management", "Machine Learning", "Data labeling", "Excel" ], "skillCount" : 10, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true }, { "id" : "693072a470f0b99d58ffb635", "title" : "Quality Specialist, AGI Data Services", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Specialist in Chennai, India, adjusted for the technology industry and company size." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T01:32:58.593", "fingerprint" : "34f015200c4d42501f962db6eadb0a38114fa81d2d449cf25ec90c2ae6846438", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136094/apply", "externalId" : "9aa97ffd-7e86-4d40-b43a-5e45b4b31d33", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Machine Learning, Data Labeling", "professionalSkills" : [ "Process expertise", "Process improvement" ], "hardSkillsList" : [ "Excel skills", "Analytical capabilities", "Problem-solving capabilities" ], "hardSkills" : [ { "name" : "Excel skills", "level" : "intermediate" }, { "name" : "Analytical capabilities", "level" : "intermediate" }, { "name" : "Problem-solving capabilities", "level" : "intermediate" } ], "majorSkills" : "Quality frameworks, Process documentation, Customer collaboration", "majorSkillsList" : [ "Quality frameworks", "Process documentation", "Customer collaboration" ], "coreResponsibilities" : "Develop quality strategies, Create prescriptive actions, Examine data patterns, Formulate effective solutions, Manage feedback loop, Identify workflow enhancement opportunities, Identify quality improvement opportunities, Serve as escalation points, Provide strategic recommendations, Evaluate quality tools, Suggest tool refinements, Maintain process documentation, Update process documentation, Define quality metrics, Implement quality metrics, Partner with customers, Partner with operations, Partner with internal support teams, Optimize workflow quality, Conduct side-by-sides, Analyze data trends, Develop solutions, Monitor quality performance, Coach operations teams, Create quality metrics reports, Maintain quality metrics reports, Handle customer escalations, Provide recommendations, Suggest improvements for quality tools, Support process documentation, Support process implementation", "teamCollaboration" : "Collaboration with customers; Collaboration with CPMs; Collaboration with operations; Collaboration with internal support teams", "domainKnowledge" : "Data services; Quality frameworks", "domainList" : [ "data-services", "quality-frameworks" ], "domainSpecificKnowledge" : [ "Data services", "Quality frameworks" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Business English proficiency", "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Analytical; Problem-solving", "qualificationsBasic" : "Bachelor's degree or equivalent, Business English proficiency, Intermediate Excel skills, Experience in Machine Learning/Data Labeling, Process expertise in data services, Experience in coaching and process improvement, Analytical and problem-solving capabilities", "qualificationsPreferred" : "Experience with speech or language data, Ability to work in ambiguous environments, Project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. 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They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - * Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling • Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities Preferred Qualifications: - * Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management 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" : "Quality Specialist, AGI Data Services at ADCI MAA 12 SEZ. Skills: Quality frameworks, Process documentation, Customer collaboration. Develop quality strategies. Create prescriptive actions", "postedDate" : "2026-06-13T01:21:36.072", "createdAt" : "2026-06-13T01:21:36.072", "lastUpdated" : "2026-06-15T01:32:58.593", "ingestTimestamp" : "2026-06-13T01:21:36.072", "mongoId" : "693072a470f0b99d58ffb635", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136094/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Excel skills", "Analytical capabilities", "Problem-solving capabilities", "Quality frameworks", "Process documentation", "Customer collaboration", "Process expertise", "Process improvement", "Data services", "Excel" ], "skillCount" : 10, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a3055c5f292fd229cf216a6", "title" : "Data Analyst", "company" : "Rogers Behavioral Health", "industry" : "Healthcare", "salary" : { "min" : 58000.0, "max" : 78000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Oconomowoc, WI, adjusted for the healthcare industry and company size." }, "location" : "Oconomowoc, WI", "locations" : [ "Oconomowoc, WI", "United States of America" ], "timestamp" : "2026-06-16T15:40:47.838", "fingerprint" : "81c13d7c6b1ab723124ceaba11eb9471dff168023c6240eadc0356295effaf99", "source" : "workday", "language" : "en", "applyUrl" : "https://rogersbh.wd1.myworkdayjobs.com/RBHCareer/job/Executive-Drive-Oconomowoc-WI/Data-Analyst_R7331", "externalId" : "R7331", "industryFunction" : { }, "locationPoint" : "43.11167,-88.49927", "structuredLocations" : [ { "city" : "Oconomowoc", "state" : "Wisconsin", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "43.1116731,-88.4992659" } ], "locationText" : "Oconomowoc, Wisconsin, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "Power BI, R, SQL, Python, Microsoft Office", "hardSkillsList" : [ "Data analysis", "Statistical analysis", "Data visualization", "Data gathering", "Report development", "Data management", "Data extraction", "Data utilization", "Data cleaning", "Hypothesis testing", "A/B testing", "Regression analysis" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Data gathering", "level" : "intermediate" }, { "name" : "Report development", "level" : "intermediate" }, { "name" : "Data management", "level" : "intermediate" }, { "name" : "Data extraction", "level" : "intermediate" }, { "name" : "Data utilization", "level" : "intermediate" }, { "name" : "Data cleaning", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Reporting, SQL", "majorSkillsList" : [ "Data analysis", "Reporting", "SQL" ], "coreResponsibilities" : "Assist in retrieving data, Build reports and dashboards, Visualize key metrics, Assist with creating research datasets, Participate in data management tasks, Query and merge datasets, Learn and develop proficiency in data analysis tools, Collaborate with the team, Develop a fundamental understanding of data sources, Develop a fundamental understanding of data extraction process, Support team with data extraction, Support team with data utilization, Assist with contextualizing data, Assist with data flow automation, Work closely with data analysts, Work closely with leaders, Understand business needs, Contribute to data-driven decision-making, Participate in innovative data analysis projects, Contribute to organization's journey, Learn and provide support for data analysis tasks, Contribute to data-driven hypothesis testing, Contribute to A testing, Contribute to regression analysis, Contribute to other statistical methods, Participate in meetings, Assist in presenting basic reports, Assist in presenting findings, Assist in presenting analyses, Promote a team atmosphere, Treat individuals with respect, Treat individuals with honesty, Use direct communication, Use active listening skills, Be open to change, Actively support change, Be open to others’ ideas, Be open to others’ points of view, Evaluate employees objectively, Provide employees with periodic feedback, Promote department goals, Promote the mission of the hospital, Communicate goals to fellow staff members, Maintain department policies, Maintain department procedures, Include requirements from external agencies, Maintain function backlog, Communicate function backlog, Educate new staff regarding regulations, Educate new staff regarding requirements, Demonstrate acceptance of student interns, Demonstrate training of student interns, Participate in hospital committees, Participate in performance improvement team meetings, Participate in team projects, Demonstrate punctuality, Demonstrate preparedness, Demonstrate effective communication skills, Demonstrate good organizational skills, Contribute in a positive manner, Contribute in a solution-focused manner, Conduct self in a professional manner, Demonstrate organizational skills, Promote timely response to inquiries, Promote timely task completion, Communicate with all individuals professionally, Attempt to resolve individual issues with peers, Communicate concerns, Provide solutions for concerns, Project a professional image, Wear appropriate professional attire, Influence departments within Rogers, Provide technical guidance", "teamCollaboration" : "Work closely with data analysts; Work closely with leaders; Collaborate with the team", "toolProficiency" : [ "Power BI", "R", "SQL", "Microsoft Office", "Python" ], "communicationSkills" : "Written communication; Verbal communication; Presenting reports; Presenting findings; Presenting analyses", "continuousLearning" : "Tuition reimbursement", "innovationCreativity" : "Innovative data analysis projects", "qualificationsBasic" : "Bachelor's degree in relevant field, 1-3 years experience in data analysis, Experience with data visualization tools, Experience with at least one statistical programming language, Experience querying data using SQL scripting", "qualificationsPreferred" : "Microsoft Fabric experience highly preferred, Desire to build foundational knowledge in advanced analytic/statistical methods", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Summary: The Data Analyst plays an essential role in supporting data gathering, analysis, and report development. This position will utilize data and develop reports, while also being dedicated to learning the fundamentals of data analysis and developing foundational skills to contribute to the organization's data-driven initiatives. The Data Analyst will assist senior team members while also creating output to help system leaders in understanding key metrics. # **__Job Duties & Responsibilities__**: ## Data Gathering and Reporting: * Assist in retrieving data from various sources and build reports and dashboards to visualize key metrics to system leader and/or assist with creating research datasets * Participate in data management tasks by querying and merging datasets. * Learn and develop proficiency in data analysis tools and software such as Power BI, R, SQL, Microsoft Office, Python, and others. ## Data Extraction and Utilization: * Collaborate with the team to develop a fundamental understanding of data sources and the data extraction process. * Support team with data extraction and utilization efforts. * Assist with contextualizing data and data flow automation. ## Collaboration and Learning: * Work closely with data analysts and leaders to understand business needs and contribute to data-driven decision-making. * Participate in innovative data analysis projects and contribute to the organization's journey towards becoming more data-driven. ## Data Analysis Support: * Learn and provide support for data analysis tasks, such as data cleaning and statistical analysis. * Contribute to data-driven hypothesis testing, A/B testing, regression analysis, and other statistical methods. ## Effective Communication: * Participate in meetings and assist in presenting basic reports, findings, and analyses to stakeholders within the system. ## Promote a team atmosphere by treating individuals with respect and honesty and by using direct communication and active listening skills. * Be open to change and actively support change. * Be open to others’ ideas and points of view. * Evaluate employees objectively and provide employees with periodic feedback. ## Promote department goals as well as the mission of the hospital. * Communicate goals to fellow staff members. * Maintain department policies and procedures. * Include requirements and guidelines from external agencies (i.e., Joint Commission, State of Wisconsin). * Maintain and/or communicate to appropriate party function backlog at a set time. * Educate new staff regarding regulations or requirements of those functions that relate to their areas or departments, as directed. * Demonstrate acceptance and training of student interns in the department, as directed. ## Participate in hospital committees, performance improvement team meetings, and team projects, as directed. * Demonstrate punctuality and preparedness. * Demonstrate effective communication skills. * Demonstrate good organizational skills. * Contribute in a positive, solution-focused manner. ## Conduct self in a professional manner. * Demonstrate organizational skills that promote timely response to all inquiries and to task completion. * Communicate with all individuals in a positive and professional manner. * Attempt to resolve individual issues with peers in a positive, calm manner, with a focus on solution. * Communicate concerns and provide solutions for same. * Project a professional image by wearing appropriate, professional attire. * Ability to influence departments within Rogers and provide technical guidance. **Additional Job Description:** ## Requirements/Qualifications * Bachelor's degree in a relevant field (e.g., computer science, math/statistics, economics, psychology, etc.). * 1-3 years of experience in a data analysis-related role * Strong interest in data analysis and a willingness to learn and grow in the field. * Experience with data visualization tools (e.g., Power BI, Tableau, Looker, etc.). * Experience with at least one statistical programming language (e.g., R, Python, SAS, Stata, etc.). * Experience querying data using SQL scripting. * Experience with Microsoft Fabric is highly preferrred. * A desire to build foundational knowledge in advanced analytic/statistical methods. * Exceptional written and verbal communication skills. * A meticulous and detail-oriented approach. With a career at Rogers, you can look forward to a Total Rewards package of benefits, including: * Health, dental, and vision insurance coverage for you and your family * 401(k) retirement plan * Employee share program * Life/disability insurance * Flex spending accounts * Tuition reimbursement * Health and wellness program * Employee assistance program (EAP) _Through UnitedHealthcare, UMR and HealthSCOPE Benefits creates and publishes the Machine-Readable Files on behalf of Rogers Behavioral Health._ _To link to the Machine-Readable Files, please visit_ [**Transparency in Coverage (uhc.com)**](https://nam10.safelinks.protection.outlook.com/?url=https%3A%2F%2Ftransparency-in-coverage.uhc.com%2F&data=05%7C02%7CJumana.Adamjee%40rogersbh.org%7Cd71e809e401648720d4808dc9a097563%7Cd2ad4f331a7a4f81b69f497f7b3e308b%7C0%7C0%7C638554612646435009%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=RbxZA8HjAE8auNJzL9l1u8ekjWZcmstn%2Bh5QOMc0jGU%3D&reserved=0)", "summaryDescription" : "Data Analyst at Rogers Behavioral Health. Skills: Data analysis, Reporting, SQL. Assist in retrieving data. 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Collaboration with CPMs; Collaboration with operations; Collaboration with internal support teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data services; Data labeling", "domainList" : [ "data-services", "data-labeling" ], "domainSpecificKnowledge" : [ "Data services", "Data labeling" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Business English", "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Analytical; Problem-solving", "qualificationsBasic" : "Bachelor's degree or equivalent, Business English proficiency, Intermediate Excel skills, Experience in Machine Learning/Data Labeling, Process expertise in data services, Experience in coaching and process improvement, Analytical and problem-solving capabilities", "qualificationsPreferred" : "Experience with speech or language data, Ability to work in ambiguous environments, Project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - * Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling • Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities Preferred Qualifications: - * Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management 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" : "Quality Specialist, AGI Data Services at ADCI MAA 12 SEZ. Skills: Quality frameworks, Process documentation, Customer collaboration. Develop quality strategies. Create prescriptive actions", "postedDate" : "2026-06-13T00:31:49.718", "createdAt" : "2026-06-13T00:31:49.718", "lastUpdated" : "2026-06-15T02:14:47.595", "ingestTimestamp" : "2026-06-13T00:31:49.718", "mongoId" : "693072a470f0b99d58ffb633", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136089/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quality metrics", "Data patterns", "Metric analysis", "Workflow enhancement", "Quality improvements", "Process documentation", "Quality frameworks", "Customer collaboration", "Process expertise", "Process improvement", "Data analysis", "Project management", "Data services", "Data labeling", "Excel" ], "skillCount" : 15, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6931903470f0b99d58087a87", "title" : "Quality Specialist, AGI Data Services", "company" : "ADCI HYD 16 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 750000.0, "max" : 1250000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Specialist in Hyderabad, India, adjusted for the Technology industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-14T23:59:37.963", "fingerprint" : "1cf39cbd452b30e6bb9c9bdbbe98a6cba8d3c0269213806487853408e40ed1ff", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136745/apply", "externalId" : "1cbd02a1-0f23-42ed-a9d8-05e68a7fa9c5", "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 degree", "technicalSkills" : "Excel", "professionalSkills" : [ "Process improvement", "Data services", "Quality strategies" ], "hardSkillsList" : [ "Data analysis", "Process documentation" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" } ], "majorSkills" : "Quality management, Process improvement, Data analysis", "majorSkillsList" : [ "Quality management", "Process improvement", "Data analysis" ], "coreResponsibilities" : "Define quality metrics, Implement quality metrics, Create prescriptive actions, Optimize workflow quality, Conduct side-by-sides, Identify workflow enhancement opportunities, Identify quality improvements, Analyze data trends, Develop solutions, Monitor quality performance, Coach operations teams, Create quality metrics reports, Maintain quality metrics reports, Handle customer escalations, Provide recommendations, Evaluate quality tools, Suggest improvements for quality tools, Maintain process documentation, Update process documentation", "teamCollaboration" : "Collaborate with customers; Collaborate with CPMs; Partner with operations; Partner with internal support teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data services; Machine Learning; Data labeling", "domainList" : [ "data-services", "machine-learning", "data-labeling" ], "domainSpecificKnowledge" : [ "Data services", "Machine Learning", "Data labeling" ], "toolProficiency" : [ "Excel" ], "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Problem-solving; Data analysis", "qualificationsBasic" : "Business English proficiency, Intermediate Excel skills, Experience in Machine Learning/Data Labeling, Process expertise in data services, Experience in coaching and process improvement, Analytical and problem-solving capabilities", "qualificationsPreferred" : "Experience with speech or language data, Ability to work in ambiguous environments, Project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. 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They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling • Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities Preferred Qualifications: - * Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management 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" : "Quality Specialist, AGI Data Services at ADCI HYD 16 SEZ. Skills: Quality management, Process improvement, Data analysis. Define quality metrics. Implement quality metrics", "postedDate" : "2026-06-12T23:42:35.643", "createdAt" : "2026-06-12T23:42:35.643", "lastUpdated" : "2026-06-14T23:59:37.963", "ingestTimestamp" : "2026-06-12T23:42:35.643", "mongoId" : "6931903470f0b99d58087a87", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136745/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Process documentation", "Quality management", "Process improvement", "Data services", "Quality strategies", "Project management", "Machine Learning", "Data labeling", "Excel" ], "skillCount" : 10, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a305238f292fd229cf0c1d7", "title" : "Data Engineer", "company" : "Utility Warehouse", "industry" : "Utilities", "salary" : { "min" : 95000.0, "max" : 135000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Lead Data Engineer in London, UK, adjusted for the utilities industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T06:04:00.637", "fingerprint" : "cdf3b98b01e574f818779193b5c31a1a7d5c91290a0db6d72db08e845a3fc10f", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UtilityWarehouse1/744000132231128-data-engineer", "externalId" : "744000132231128", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, Docker, Kubernetes", "professionalSkills" : [ "Strategic Problem Solving", "System design", "Planning", "Delivery", "Operational Excellence" ], "hardSkillsList" : [ "ETL", "ELT", "Data modelling", "Dimensional modelling", "Data Vault", "DevOps practices", "Infrastructure as Code", "GitOps", "Data transformation" ], "softSkillsList" : [ "Leadership", "Mentoring" ], "hardSkills" : [ { "name" : "ETL", "level" : "intermediate" }, { "name" : "ELT", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" }, { "name" : "Dimensional modelling", "level" : "intermediate" }, { "name" : "Data Vault", "level" : "intermediate" }, { "name" : "DevOps practices", "level" : "intermediate" }, { "name" : "Infrastructure as Code", "level" : "intermediate" }, { "name" : "GitOps", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" }, { "name" : "Mentoring" } ], "majorSkills" : "Data Engineering, ETL/ELT pipelines, Data warehousing, Data transformation", "majorSkillsList" : [ "Data Engineering", "ETL/ELT pipelines", "Data warehousing", "Data transformation" ], "coreResponsibilities" : "Design ETL/ELT pipelines, Build ETL/ELT pipelines, Maintain ETL/ELT pipelines, Ingest large-scale datasets, Ingest high-frequency streams, Lead data warehouse design, Lead data warehouse evolution, Manage data transformation layer, Orchestrate complex workflows, Orchestrate reliable workflows, Implement automated testing frameworks, Deploy scalable services, Ensure operational health, Partner with Product, Partner with Engineering, Facilitate data design sessions, Optimize data ingestion, Optimize data utilization, Raise technical excellence bar, Conduct code reviews, Conduct design sessions, Document best practices", "teamCollaboration" : "Stakeholder Partnership; Product and Engineering; Cross-functional design sessions; Wider Technology & Product", "projectManagementSkills" : [ "Planning", "Delivery" ], "domainKnowledge" : "Dimensional modelling; Data Vault methodologies; Enterprise schemas; Modern DevOps practices; Cloud-native architecture", "domainList" : [ "dimensional-modelling", "data-vault-methodologies", "enterprise-schemas", "modern-devops-practices", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Dimensional modelling", "Data Vault methodologies", "Enterprise schemas", "Modern DevOps practices", "Cloud-native architecture" ], "toolProficiency" : [ "Dataform", "Dbt", "Docker", "Kubernetes", "GitOps" ], "communicationSkills" : "Clear Communication; Verbal skills; Written skills; Influence technical audiences; Influence non-technical audiences; Communicate technical successes; Communicate technical failures", "documentationSkills" : "Architectural diagrams; Technical documentation", "continuousLearning" : "Seeking latest industry trends; Introducing relevant innovations", "problemSolvingSkills" : "Strategic Problem Solving; Pragmatic problem-solvers", "specialRequirements" : "On-call rotations", "outcomesObjectives" : "Drive digitalisation; Process half-hourly meter reads", "qualificationsBasic" : "Extensive experience leading data systems design, Expert in SQL, Expert in Python, Independently implement complex projects, Deep understanding of dimensional modelling, Deep understanding of Data Vault methodologies, Track record of leading high-impact initiatives, Evaluate proposed work against team goals, Provide critical feedback, Drive end-to-end delivery of large-scale features, Provide high-quality architectural diagrams, Provide technical documentation, Experience with modern DevOps practices, Experience with Infrastructure as Code, Experience with GitOps, Manage transformation layers at scale, Advise senior stakeholders on Data Engineering, Facilitate cross-functional design sessions, Promote data-driven culture, Mentor peers, Communicate technical successes and failures", "qualificationsPreferred" : "Dataform experience preferred, Dbt experience preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. Got your attention? Read on.. We are looking for a \"full-stack\" Data Engineer to build the backbone of our data infrastructure and own the end-to-end data lifecycle. You will architect enterprise-grade systems and build products that drive digitalisation, while tackling high-volume challenges such as processing half-hourly meter reads for our energy customers. Your responsibilities will include: * Pipeline Architecture: Design, build, and maintain robust ETL/ELT pipelines to ingest large-scale datasets and high-frequency streams. * Enterprise Warehousing: Lead the design and evolution of our enterprise data warehouse, ensuring it is scalable and performant. * Modern Transformation: Manage our data transformation layer using Dataform (preferred) or dbt to orchestrate complex, reliable workflows. * Quality & Deployment: Implement automated testing frameworks and deploy scalable services using Docker and Kubernetes to ensure operational health. * Stakeholder Partnership: Act as a strategic partner to Product and Engineering, facilitating data design sessions to optimise how data is ingested and utilised. * Mentorship & Standards: Raise the bar for technical excellence within the squad through code reviews, design sessions, and documenting best practices. ## Qualifications We put people first. It’s all about you.. * Technical Mastery: * You have extensive experience leading the design of data systems and models. * You are an expert in SQL and Python, with a proven ability to independently implement complex, production-ready projects. * You possess a deep understanding of dimensional modelling (Kimball) or Data Vault methodologies, essential for creating scalable enterprise schemas. * Impact & Scope: * You have a track record of leading high-impact initiatives that align with company strategy. You can evaluate proposed work against team goals and provide critical feedback to ensure value delivery. * Planning & Delivery: * You are capable of driving the end-to-end delivery of large-scale features, providing high-quality architectural diagrams and technical documentation. * Operational Excellence: * You have strong experience with modern DevOps practices, including Infrastructure as Code, GitOps, and managing transformation layers at scale. * Business & Domain Knowledge: * You can advise senior stakeholders on applying Data Engineering to solve complex business problems and are comfortable facilitating cross-functional design sessions. * Leadership & Culture: * You role-model UW values by promoting a data-driven culture, mentoring peers, and communicating technical successes and failures clearly to the wider Technology & Product department. Skills / Competencies * Strategic Problem Solving: Ability to break down vague, high-level business requirements into concrete, scalable technical architectures. * Clear Communication: Excellent verbal and written skills, with the ability to influence technical and non-technical audiences. * Accountability: Willingness to take ownership of critical systems and participate in on-call rotations. * Continuous Learning: Proactively seeking out the latest industry trends and introducing relevant innovations to the team. Possible Next Career Steps * Senior Data Engineer * Staff Data Engineer Don’t worry if you don’t have the whole list. If you feel you have most of it and can learn the rest pretty quickly then please don’t hesitate to apply. Overall we are looking for imaginative and pragmatic problem-solvers who want to help make a positive impact with data at UW. ## Additional Information So why pick UW? We’ve got big ambitions so there’s going to be plenty of challenges. There are also a lot of benefits: * Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation. * Performance bonus: An annual discretionary bonus ranging from 15-40%. * Flexible working: We’re a remote-first business. * Work-life balance: We offer an optional four-day working week (90% pay for 90% impact). * Work from anywhere: You can work abroad for up to three weeks, twice every tax year. * Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year. * UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox * Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary). * Family first: Policies designed to help you and your family thrive. * Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership. * Sabbaticals: An eight-week paid sabbatical after four years of service. * Growth: A dedicated learning and development budget and bi-annual promotion cycles. * Inclusion: Join belonging groups that help shape our culture. * Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’. Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.", "summaryDescription" : "Data Engineer at Utility Warehouse. Skills: Data Engineering, ETL/ELT pipelines, Data warehousing, Data transformation. Design ETL/ELT pipelines. Build ETL/ELT pipelines", "postedDate" : "2026-06-15T15:15:10.000", "createdAt" : "2026-06-15T21:52:19.891", "lastUpdated" : "2026-06-16T06:04:00.637", "ingestTimestamp" : "2026-06-15T21:52:19.891", "mongoId" : "6a305238f292fd229cf0c1d7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "ETL", "ELT", "Data modelling", "Dimensional modelling", "Data Vault", "DevOps practices", "Infrastructure as Code", "GitOps", "Data transformation", "Leadership", "Mentoring", "Data Engineering", "ETL/ELT pipelines", "Data warehousing", "Strategic Problem Solving", "System design", "Planning", "Delivery", "Operational Excellence", "Data Vault methodologies", "Enterprise schemas", "Modern DevOps practices", "Cloud-native architecture", "Dataform", "Dbt", "Docker", "Kubernetes" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Utilities", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305238f292fd229cf0c1d8", "title" : "Data Scientist", "company" : "Utility Warehouse", "industry" : "Utilities", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Scientist in London, UK, adjusted for the Utilities industry and company size." }, "location" : "London, England, United Kingdom", "locations" : [ "London", "England", "United Kingdom" ], "timestamp" : "2026-06-16T05:17:10.764", "fingerprint" : "e185dfcd50df3a19dad555f0d7f1176543caf825da31468e8dd6af66f3bcbc1b", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/UtilityWarehouse1/744000132229627-data-scientist-", "externalId" : "744000132229627", "industryFunction" : { }, "structuredLocations" : [ { "city" : "London", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.5074456,-0.1277653" } ], "locationText" : "London, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Python, Pandas, Scikit-learn, SQL", "professionalSkills" : [ "Commercial Acumen", "Data storytelling" ], "hardSkillsList" : [ "Predictive Modelling", "Customer Segmentation", "Clustering techniques", "XLTV modelling", "ROI modelling", "A/B testing analysis" ], "hardSkills" : [ { "name" : "Predictive Modelling", "level" : "intermediate" }, { "name" : "Customer Segmentation", "level" : "intermediate" }, { "name" : "Clustering techniques", "level" : "intermediate" }, { "name" : "XLTV modelling", "level" : "intermediate" }, { "name" : "ROI modelling", "level" : "intermediate" }, { "name" : "A/B testing analysis", "level" : "intermediate" } ], "majorSkills" : "Machine Learning, Predictive modeling, Customer analytics", "majorSkillsList" : [ "Machine Learning", "Predictive modeling", "Customer analytics" ], "coreResponsibilities" : "Develop predictive engines, Build Next Best Action models, Build Customer Segmentation models, Build Churn Propensity models, Own xLTV modelling, Own ROI modelling, Operationalise insights, Design and deploy ML models, Develop Customer Segmentation, Tailor services and communications, Model long-term customer value, Optimize acquisition and retention spend, Productionise scalable models, Monitor models for drift, Monitor models for performance, Design A/B tests, Validate model effectiveness, Measure commercial uplift, Translate statistical outputs, Provide actionable insights", "teamCollaboration" : "Collaborate with product teams; Collaborate with engineering teams; Collaborate with Data Engineers; Collaborate with Machine Learning Engineers; Stakeholder Partnership", "domainKnowledge" : "Retail; B2C subscription; Utilities environment", "domainList" : [ "retail", "b2c-subscription", "utilities-environment" ], "domainSpecificKnowledge" : [ "Retail", "B2C subscription", "Utilities environment" ], "communicationSkills" : "Data storytelling; Explain 'black box' models", "continuousLearning" : "Learning and development budget", "qualificationsBasic" : "Proven Data Science experience, Expert-level Python, Advanced SQL, ML knowledge (Regression, Classification, Clustering, Time-series), Expertise in Churn and Propensity modeling, Ability to link technical metrics to business KPIs, Data storytelling skills", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Hi! We're UW. We’re on a mission to take the headache out of utilities by providing them all in one place. One bill for energy, broadband, mobile and insurance and a whole lot of savings! We’re aiming to double in size as we help more people to stop wasting time and money. Big ambitions, to be delivered by people like you. The challenge For our customers and Partners, UW just needs to work – there when you need it, and invisible when you don’t. Just like flicking a switch. Our proposition to customers is simple, but for our technology teams, the behind-the-scenes complexity is what makes it so interesting. Learn more about life in our Tech teams [here](https://uw.co.uk/about-us/careers/technology). Got your attention? Read on... Are you a driven and curious Data Scientist eager to tackle high-impact business challenges? Join UW's Data team and build predictive engines that directly drive customer strategy. We deliver progress. What you’ll do and how you will make an impact... In this role, you will develop the \"brain\" of our customer interactions through Next Best Action (NBA), Customer Segmentation, and Churn Propensity models. You will also own xLTV and ROI modelling to guide profitable decision-making, working closely with product and engineering teams to operationalise these insights. This isn't a research role. We need a \"full-stack\" data scientist who can own the end-to-end ML lifecycle. You will take your ideas from initial Proof of Concept (POC) and exploratory analysis all the way through to building, deploying, and maintaining production-ready models, collaborating closely with our Machine Learning Engineers. Predictive Modelling: * Design and deploy robust ML models to solve business challenges, specifically Churn Propensity and Next Best Action (NBA) engines. Customer Analytics: * Develop advanced Customer Segmentation using clustering techniques to tailor services and communications. Commercial Valuation: * Own xLTV and ROI logic, modeling long-term customer value to optimize acquisition and retention spend. Deployment & Ops: * Collaborate with Data Engineers to productionise scalable models, ensuring continuous monitoring for drift and performance. Experimentation: * Design and analyse A/B tests to validate model effectiveness and measure commercial uplift. Stakeholder Partnership: * Translate complex statistical outputs into actionable insights for Marketing, Product, Commercial and Ops stakeholders. We work together. Your team and the people you will work with… Our Data teams are small, empowered, and cross-functional, taking full ownership of the solutions they build. We adopt the technologies that best support our goals and continuously raise the bar on how we deliver value. UW’s Data team is a highly driven, impact-focused group dedicated to understanding customer behaviour and shaping the company’s strategic decisions. The team applies advanced data science and machine learning to uncover key drivers of customer actions and to build business-critical models including Customer Lifetime Value and Acquisition Cost. ## Qualifications We put people first. It’s all about you... Required Skills and Experience: Experience: * Proven Data Science experience within a retail, B2C subscription or utilities environment. Modelling Expertise: * Strong ML knowledge (Regression, Classification, Clustering, Time-series). Expertise in Churn and Propensity modeling is essential. Tech Stack: * Expert-level Python (pandas, scikit-learn) and advanced SQL for complex feature engineering. Commercial Acumen: * Ability to link technical metrics to business KPIs. Communication: * Strong data storytelling skills to explain \"black box\" models to business leaders. ## Additional Information Why join UW? We have big ambitions, which means plenty of challenges to tackle and solutions for you to build. We’re looking for people who want to roll up their sleeves and get involved. Our benefits: * Competitive salary: We benchmark against the industry and will share the salary openly during our first conversation. * Performance bonus: An annual discretionary bonus ranging from 15-40%. * Flexible working * Work-life balance: We offer an optional four-day working week (90% pay for 90% impact). * Work from anywhere: You can work abroad for up to three weeks, twice every tax year. * Holiday: 25 days plus bank holidays (increasing with tenure), with the option to trade up to five days each year. * UW discounts: Save on our services and you’ll also get access to 100s of rewards and discounts through Perkbox * Future planning: Matched-contribution pension scheme and life assurance (up to 4x salary). * Family first: Policies designed to help you and your family thrive. * Flexible benefits: An allowance for private health insurance, dental insurance, or gym membership. * Sabbaticals: An eight-week paid sabbatical after four years of service. * Growth: A dedicated learning and development budget and bi-annual promotion cycles. * Inclusion: Join belonging groups that help shape our culture. * Events: Company-wide celebrations including the ‘Great Big Get Together’ and our ‘Good Hearted Go-Getter Awards’. Apply here! You’ve got this far… Hit apply - we can’t wait to hear from you! Worried you don’t meet all the criteria? We welcome applications from diverse and varied backgrounds, so get your application in and let’s chat! Beth Rodgers will be your point of contact throughout the process. Not sure you meet all the requirements? Let us decide! Research shows that women and members of other underrepresented groups tend not to apply for jobs if they think they may not meet every qualification, when in fact they often do. We provide equal opportunities, a diverse and inclusive work environment, and fairness for everyone. You are welcome to apply no matter your age, disability, gender, marriage or civil partnership status, pregnancy and maternity status, race, religion or belief, or sexual orientation. Please don’t be afraid to ask about what we can do to support your needs. All requests will be carefully and fairly considered. Please note, if you are successful and offered a role at UW, you will be subject to a background check. Where checks are unsatisfactory or incomplete and/or a failure to reveal information relating to convictions that you are required to identify as part of the background checks, could lead to withdrawal of an offer of employment.", "summaryDescription" : "Data Scientist at Utility Warehouse. Skills: Machine Learning, Predictive modeling, Customer analytics. Develop predictive engines. Build Next Best Action models", "postedDate" : "2026-06-15T15:14:52.000", "createdAt" : "2026-06-15T21:50:31.805", "lastUpdated" : "2026-06-16T05:17:10.764", "ingestTimestamp" : "2026-06-15T21:50:31.805", "mongoId" : "6a305238f292fd229cf0c1d8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Predictive Modelling", "Customer Segmentation", "Clustering techniques", "XLTV modelling", "ROI modelling", "A/B testing analysis", "Machine Learning", "Predictive modeling", "Customer analytics", "Commercial Acumen", "Data storytelling", "Retail", "B2C subscription", "Utilities environment" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Utilities", "llmIndustryConfidence" : 0.98 }, { "id" : "693072a470f0b99d58ffb634", "title" : "Quality Specialist, AGI Data Services", "company" : "ADCI MAA 12 SEZ", "industry" : "Operations, IT, Support Engineering, Machine Learning Data Operatio, Artificial Intelligence", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Quality Specialist in Chennai, India, adjusted for the technology industry and company size." }, "location" : "Chennai, Tamil Nadu, IND", "locations" : [ "Chennai, Tamil Nadu, IND" ], "timestamp" : "2026-06-15T01:53:15.513", "fingerprint" : "4b7553d49756a38e8c305f077a8b6b12cc36076bce9478300ac8d128ab5d93f2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3136101/apply", "externalId" : "eeffdb18-463e-4975-9097-3e8babf99a4b", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chennai", "state" : "Tamil Nadu", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "13.0836939,80.2701860" } ], "locationText" : "Chennai, Tamil Nadu, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Machine Learning, Data Labeling, Excel", "professionalSkills" : [ "Process expertise", "Process improvement", "Data analysis" ], "hardSkillsList" : [ "Quality metrics", "Data patterns", "Metric analysis", "Workflow enhancement", "Quality improvements", "Process documentation" ], "hardSkills" : [ { "name" : "Quality metrics", "level" : "intermediate" }, { "name" : "Data patterns", "level" : "intermediate" }, { "name" : "Metric analysis", "level" : "intermediate" }, { "name" : "Workflow enhancement", "level" : "intermediate" }, { "name" : "Quality improvements", "level" : "intermediate" }, { "name" : "Process documentation", "level" : "intermediate" } ], "majorSkills" : "Quality frameworks, Process documentation, Customer collaboration", "majorSkillsList" : [ "Quality frameworks", "Process documentation", "Customer collaboration" ], "coreResponsibilities" : "Develop quality strategies, Create prescriptive actions, Examine data patterns, Formulate effective solutions, Manage feedback loop, Identify workflow enhancement opportunities, Identify quality improvements, Serve as escalation points, Provide strategic recommendations, Evaluate quality tools, Suggest tool refinements, Maintain process documentation, Update process documentation, Define quality metrics, Implement quality metrics, Partner with customers, Partner with operations, Partner with support teams, Optimize workflow quality, Conduct side-by-sides, Analyze data trends, Develop solutions, Monitor quality performance, Coach operations teams, Create quality metrics reports, Maintain quality metrics reports, Handle customer escalations, Provide recommendations, Suggest improvements, Support process documentation, Support process implementation", "teamCollaboration" : "Collaboration with customers; Collaboration with CPMs; Collaboration with operations; Collaboration with internal support teams", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Data services; Data labeling", "domainList" : [ "data-services", "data-labeling" ], "domainSpecificKnowledge" : [ "Data services", "Data labeling" ], "toolProficiency" : [ "Excel" ], "communicationSkills" : "Business English", "documentationSkills" : "Process documentation", "problemSolvingSkills" : "Analytical; Problem-solving", "qualificationsBasic" : "Bachelor's degree or equivalent, Business English proficiency, Intermediate Excel skills, Experience in Machine Learning/Data Labeling, Process expertise in data services, Experience in coaching and process improvement, Analytical and problem-solving capabilities", "qualificationsPreferred" : "Experience with speech or language data, Ability to work in ambiguous environments, Project management experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Quality Specialists play a vital role in establishing and maintaining comprehensive quality frameworks across our operations. Their primary responsibility begins with developing robust quality strategies in collaboration with customers and CPMs, encompassing metrics, audit approaches, and specific targets for each workflow. When quality issues arise, these specialists create prescriptive actions, examining data patterns to formulate effective solutions. They maintain a continuous improvement cycle by managing a critical feedback loop between operations and customers, drawing insights from multiple sources including quality auditors, side-by-side observations, and metric analysis. Through regular side-by-side sessions, they identify opportunities for workflow enhancement and quality improvements. The specialists serve as key escalation points for customer concerns, providing strategic recommendations based on their deep understanding of processes. They consistently evaluate quality tools, suggesting refinements to enhance effectiveness, while simultaneously maintaining and updating process documentation to ensure standardization and clarity across all workflows. This comprehensive approach ensures quality remains at the forefront of our operational excellence. Key job responsibilities Define and implement quality metrics for established workflows * Create prescriptive actions for quality issues * Partner with customers, operations and internal support teams to optimize workflow quality * Conduct side-by-sides to identify opportunities for workflow enhancement and quality improvements * Analyze data trends and develop solutions * Monitor quality performance and coach operations teams * Create and maintain quality metrics reports * Handle customer escalations and recommendations * Evaluate and suggest improvements for quality tools * Support process documentation and implementation Basic Qualifications: - Bachelor's degree or equivalent - * Business English proficiency * Intermediate Excel skills (VLOOKUPS, PIVOTS, formulas) * Experience in Machine Learning/Data Labeling • Strong process expertise in data services * Experience in coaching and process improvement * Analytical and problem-solving capabilities Preferred Qualifications: - * Experience with speech or language data preferred * Ability to work in ambiguous environments * Project management 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" : "Quality Specialist, AGI Data Services at ADCI MAA 12 SEZ. Skills: Quality frameworks, Process documentation, Customer collaboration. Develop quality strategies. Create prescriptive actions", "postedDate" : "2026-06-12T23:41:06.622", "createdAt" : "2026-06-12T23:41:06.622", "lastUpdated" : "2026-06-15T01:53:15.513", "ingestTimestamp" : "2026-06-12T23:41:06.622", "mongoId" : "693072a470f0b99d58ffb634", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136101/apply", "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quality metrics", "Data patterns", "Metric analysis", "Workflow enhancement", "Quality improvements", "Process documentation", "Quality frameworks", "Customer collaboration", "Process expertise", "Process improvement", "Data analysis", "Project management", "Data services", "Data labeling", "Excel" ], "skillCount" : 15, "jobCategory" : "operations", "dataQualityScore" : 0.8888889, "daysOld" : 2, "hasLocation" : true, "hasGeo" : true }, { "id" : "6a308a5df292fd229c0960c7", "title" : "Data Science", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Scientist in Los Angeles, adjusted for the technology industry and contract employment type." }, "location" : "Los Angeles, CA, United States", "locations" : [ "Los Angeles", "CA", "United States" ], "timestamp" : "2026-06-16T11:54:21.385", "fingerprint" : "7c866e0cf476f1ad44867b7c77418da5c0a56391b6725c33829ae2ede71bf869", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000132219904-data-science-agentic-ai-", "externalId" : "744000132219904", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "MCP Protocol, AI/ML engineering, Vector embeddings, Prompt engineering, Context engineering, Python, Java, Go, Azure Cloud, Azure AI Search, Redis, Cosmos DB, Blob Storage, Iceberg, Azure Functions, Azure Container Apps", "hardSkillsList" : [ "Data Science", "AI/ML engineering", "Programming", "Cloud deployment", "Database management", "Cloud-native architecture" ], "hardSkills" : [ { "name" : "Data Science", "level" : "intermediate" }, { "name" : "AI/ML engineering", "level" : "intermediate" }, { "name" : "Programming", "level" : "intermediate" }, { "name" : "Cloud deployment", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud-native architecture", "level" : "intermediate" } ], "majorSkills" : "Agentic AI, AI/ML engineering, Azure Cloud", "majorSkillsList" : [ "Agentic AI", "AI/ML engineering", "Azure Cloud" ], "coreResponsibilities" : "Understand hiring strategies, Understand talent availability, Understand compensation benchmarking, Deliver value to clients, Deliver highest return on investment, Understand client needs, Stay knowledgeable of industry trends, Stay knowledgeable of technologies, Design Azure Functions, Manage Azure Functions, Design Azure Container Apps, Manage Azure Container Apps", "domainKnowledge" : "Agentic Layer; MCP Protocol; Cloud-native architecture", "domainList" : [ "agentic-layer", "mcp-protocol", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Agentic Layer", "MCP Protocol", "Cloud-native architecture" ], "toolProficiency" : [ "Azure AI Search", "Redis", "Cosmos DB", "Azure Functions", "Azure Container Apps" ], "qualificationsBasic" : "8+ Years of experience, Hands-on experience with Agentic Layer A2A frameworks, Hands-on experience with MCP Protocol, AI/ML engineering expertise, Vector embeddings expertise, Prompt engineering expertise, Context engineering expertise, Programming skills in Python, Java, or Go, Proficiency in deploying solutions on Azure Cloud, Experience with Azure AI Search, Experience with Redis, Experience with Cosmos DB, Ability to design Azure Functions, Ability to manage Azure Functions, Ability to design Azure Container Apps, Ability to manage Azure Container Apps, Understanding of cloud-native architecture, Understanding of scalability, Understanding of performance optimization, 12+ years Data Science, 6+ years AI/ML engineering, 6+ years programming skills, 6+ years databases, 6+ years Azure Functions and Azure Container Apps", "qualificationsPreferred" : "Blob Storage experience a plus, Iceberg experience a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Client is looking for 8+ Years of experienced Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering. Strong programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud. Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus). Proven ability to design and manage Azure Functions and Azure Container Apps. Strong understanding of cloud-native architecture, scalability, and performance optimization. Must Have Skills: Skill 1 – Yrs of Exp – 12+ - Data Science - Agentic Layer A2A frameworks and MCP Protocol Skill 2 - Yrs of Exp – 6+ - AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering SKill 3 - Yrs Of Exp - 6+ - programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud SKill 4 - Yrs Of Exp - 6+ - databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus) Skill 5 - Yrs of Exp - 6+ - ability to design and manage Azure Functions and Azure Container Apps & cloud-native architecture, scalability, and performance optimization. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or You can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Data Science at Syncreon Consulting. Skills: Agentic AI, AI/ML engineering, Azure Cloud. Understand hiring strategies. Understand talent availability", "postedDate" : "2026-06-15T14:52:48.000", "createdAt" : "2026-06-16T01:42:05.034", "lastUpdated" : "2026-06-16T11:54:21.385", "ingestTimestamp" : "2026-06-16T01:42:05.034", "mongoId" : "6a308a5df292fd229c0960c7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data Science", "AI/ML engineering", "Programming", "Cloud deployment", "Database management", "Cloud-native architecture", "Agentic AI", "Azure Cloud", "Agentic Layer", "MCP Protocol", "Azure AI Search", "Redis", "Cosmos DB", "Azure Functions", "Azure Container Apps" ], "skillCount" : 15, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30592df292fd229cf458d6", "title" : "Data Science", "company" : "Syncreon Consulting", "industry" : "Computer And Network Security", "salary" : { "min" : 155000.0, "max" : 210000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimation is based on the market baseline for a Senior Data Scientist in Los Angeles, with adjustments for the technology industry and contract employment type." }, "location" : "Los Angeles, CA, United States", "locations" : [ "Los Angeles", "CA", "United States" ], "timestamp" : "2026-06-16T07:25:21.403", "fingerprint" : "9094f61c3263137a24a7caf6d5579375deb6ca0b1231429c973f94ad45db7d8d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SyncreonConsulting/744000132219904-data-science-agentic-ai-", "externalId" : "744000132219904", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Los Angeles", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.0536909,-118.2427660" } ], "locationText" : "Los Angeles, California, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "MCP Protocol, Python, Java, Go, Azure Cloud, Azure AI Search, Redis, Cosmos DB, Blob Storage, Iceberg, Azure Functions, Azure Container Apps", "professionalSkills" : [ "AI/ML engineering", "Prompt engineering", "Context engineering", "Cloud-native architecture", "Performance optimization" ], "hardSkillsList" : [ "Vector embeddings", "Scalability" ], "hardSkills" : [ { "name" : "Vector embeddings", "level" : "intermediate" }, { "name" : "Scalability", "level" : "intermediate" } ], "majorSkills" : "Agentic AI, AI/ML engineering, Azure Cloud", "majorSkillsList" : [ "Agentic AI", "AI/ML engineering", "Azure Cloud" ], "coreResponsibilities" : "Understand hiring strategies, Understand talent availability, Understand compensation benchmarking, Deliver value to clients, Deliver highest return on investment, Work closely with staffing trade associations, Work with training organizations, Work with research organizations, Design Azure Functions, Manage Azure Functions, Design Azure Container Apps, Manage Azure Container Apps", "domainKnowledge" : "Agentic Layer; MCP Protocol; Vector embeddings; Prompt engineering; Context engineering; Cloud-native architecture", "domainList" : [ "agentic-layer", "mcp-protocol", "vector-embeddings", "prompt-engineering", "context-engineering", "cloud-native-architecture" ], "domainSpecificKnowledge" : [ "Agentic Layer", "MCP Protocol", "Vector embeddings", "Prompt engineering", "Context engineering", "Cloud-native architecture" ], "toolProficiency" : [ "Azure Functions", "Azure Container Apps" ], "qualificationsBasic" : "8+ Years of experience, Hands-on experience with Agentic Layer A2A frameworks, Hands-on experience with MCP Protocol, AI/ML engineering expertise, Vector embeddings expertise, Prompt engineering expertise, Context engineering expertise, Programming skills in at least two of Python, Java, Go, Proficiency in deploying solutions on Azure Cloud, Experience with Azure AI Search, Experience with Redis, Experience with Cosmos DB, Ability to design Azure Functions, Ability to manage Azure Functions, Ability to design Azure Container Apps, Ability to manage Azure Container Apps, Understanding of cloud-native architecture, Understanding of scalability, Understanding of performance optimization, 12+ Yrs of Exp - Data Science, 6+ Yrs of Exp - AI/ML engineering, 6+ Yrs of Exp - programming skills, 6+ Yrs of Exp - databases, 6+ Yrs of Exp - Azure Functions and Azure Container Apps", "qualificationsPreferred" : "Blob Storage experience a plus, Iceberg experience a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We provide Recruitment and Staffing services to many industries and domain through our innovative and customized solutions and passionate commitment to research. Ability to understand the hiring strategies, availability of talent and compensation benchmarking makes us proud hiring partner for various industries. We work as trusted business partners and always strive to deliver the most value and highest return on investment for our clients. We are highly trained business professionals with strong understanding of clients need. We work closely with the leading staffing trade associations, training, and research organizations to ensure we are knowledgeable of the latest industry trends and technologies. Client is looking for 8+ Years of experienced Hands-on experience with Agentic Layer A2A frameworks and MCP Protocol. Expertise in AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering. Strong programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud. Experience with databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus). Proven ability to design and manage Azure Functions and Azure Container Apps. Strong understanding of cloud-native architecture, scalability, and performance optimization. Must Have Skills: Skill 1 – Yrs of Exp – 12+ - Data Science - Agentic Layer A2A frameworks and MCP Protocol Skill 2 - Yrs of Exp – 6+ - AI/ML engineering, specifically vector embeddings, prompt engineering, and context engineering SKill 3 - Yrs Of Exp - 6+ - programming skills in at least two of the following: Python, Java, Go. Proficiency in deploying solutions on Azure Cloud SKill 4 - Yrs Of Exp - 6+ - databases such as Azure AI Search, Redis, and Cosmos DB (Blob Storage and Iceberg are plus) Skill 5 - Yrs of Exp - 6+ - ability to design and manage Azure Functions and Azure Container Apps & cloud-native architecture, scalability, and performance optimization. Regards, Mohammed ilyas, PH - 229-264-4024 or Text - 229-469-1455 or You can share the updated resume at Mohammed@vtekis. com ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Data Science at Syncreon Consulting. Skills: Agentic AI, AI/ML engineering, Azure Cloud. Understand hiring strategies. Understand talent availability", "postedDate" : "2026-06-15T14:52:48.000", "createdAt" : "2026-06-15T23:46:49.654", "lastUpdated" : "2026-06-16T07:25:21.403", "ingestTimestamp" : "2026-06-15T23:46:49.654", "mongoId" : "6a30592df292fd229cf458d6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 210000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Vector embeddings", "Scalability", "Agentic AI", "AI/ML engineering", "Azure Cloud", "Prompt engineering", "Context engineering", "Cloud-native architecture", "Performance optimization", "Agentic Layer", "MCP Protocol", "Azure Functions", "Azure Container Apps" ], "skillCount" : 13, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305d19f292fd229cf64a27", "title" : "Data Engineer", "company" : "lastminute. com", "industry" : "Internet", "salary" : { "min" : 125000.0, "max" : 165000.0, "currency" : "CHF", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Engineer in Chiasso, Switzerland, adjusted for the e-commerce industry and company size." }, "location" : "Chiasso, TI, CH", "locations" : [ "Chiasso", "TI", "CH" ], "timestamp" : "2026-06-16T14:06:13.109", "fingerprint" : "df401c5f164127731ec6e19c1aa8b2ed5e0a130956fa9f1c7fed470301ea4429", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/lastminutecom/744000132224083-data-engineer", "externalId" : "744000132224083", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Chiasso", "state" : "Ticino", "country" : "Switzerland", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "45.8355209,9.0290169" } ], "locationText" : "Chiasso, Ticino, Switzerland", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Google Cloud Platform, BigQuery, Dbt, Airflow, Terraform, Python", "professionalSkills" : [ "Data modeling", "System design" ], "hardSkillsList" : [ "Data pipeline development", "Data architecture", "Data transformation", "Infrastructure provisioning", "Cloud infrastructure management" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Data architecture", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Infrastructure provisioning", "level" : "intermediate" }, { "name" : "Cloud infrastructure management", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Data pipelines, Google Cloud Platform, Dbt", "majorSkillsList" : [ "Data engineering", "Data pipelines", "Google Cloud Platform", "Dbt" ], "coreResponsibilities" : "Design data pipelines, Develop data pipelines, Maintain data pipelines, Design data architectures, Develop data architectures, Maintain data architectures, Leverage AI to optimize data processes, Generate deeper insights, Partner with stakeholders, Understand data needs, Translate requirements into technical solutions, Manage competing demands, Prioritize projects, Ensure performance of data systems, Ensure reliability of data systems, Ensure scalability of data systems, Rigorous testing, Maintenance of data systems", "teamCollaboration" : "Business stakeholders; Internal stakeholders", "projectManagementSkills" : [ "Prioritization" ], "domainKnowledge" : "Travel industry; Digital industry; E-commerce industry", "domainList" : [ "travel-industry", "digital-industry", "e-commerce-industry" ], "domainSpecificKnowledge" : [ "Travel industry", "Digital industry", "E-commerce industry" ], "toolProficiency" : [ "Dbt", "Airflow", "Terraform" ], "communicationSkills" : "Presentation skills; Influencing stakeholders", "continuousLearning" : "Access to e-learning platforms; Internal platform training", "innovationCreativity" : "Champion new approaches; Leverage AI", "problemSolvingSkills" : "Translate requirements into technical solutions", "outcomesObjectives" : "Deliver maximum business value", "qualificationsBasic" : "5 years of experience as a data engineer, Knowledge of SQL, Hands-on experience with Google BigQuery, Expertise in data modeling, Developing and maintaining data transformation pipelines, Experience with workflow management engines, Proficiency in at least one programming language, Exceptional communication and presentation skills", "qualificationsPreferred" : "Familiarity with data visualization tools, Develop and implement solutions to scrape and extract data, Previous experience in the travel, digital, or e-commerce industries, A understanding of data analysis principles", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "At lastminute.com, we live for the holidays. We are the European Travel-Tech leader in Dynamic Holiday Packages. With technology, we turn spontaneous thoughts into meaningful experiences, helping people travel the world. We are looking for a Data Engineer to join our team of around 1,700 people worldwide to help us power up the traveller's journey for millions of holidaymakers. If you are passionate about using data to improve business performance, enjoy challenging projects and are skilled at data modeling, keep on reading, as you might be the perfect fit for this job. The job in brief: * Job Title - Data Engineer * Working model - hybrid in Chiasso * Team - you will join the Data Analytics Team * Level - Professional * Location - Chiasso, Switzerland * Contract - Permanent - full-time (36 h/week) What your impact will be: * Architect & Build: Design, develop, and maintain robust and scalable data pipelines and architectures on Google Cloud Platform (GCP). * Innovate: Champion new approaches and technologies, leveraging AI to optimize data processes and generate deeper insights. * Collaborate: Partner closely with internal and business stakeholders to understand their data needs, translating requirements into effective technical solutions. * Prioritize: Manage competing demands and strategically prioritize projects to deliver maximum business value. * Ensure Quality: Guarantee the performance, reliability, and scalability of our data systems through rigorous testing and maintenance. ## Qualifications Your expertise: * Experience: 5 years of experience as a data engineer, with a proven track record of building and maintaining production-grade data systems. * Cloud Expertise: Strong knowledge of SQL and hands-on experience with cloud-based Big Data platforms like Google BigQuery. * ETL/ELT: Expertise in data modeling and developing and maintaining data transformation pipelines using tools like dbt. * Orchestration: Experience with workflow management engines such as Airflow. * Automatization: Use Terraform/AWS CloudFormation to manage and automate the provisioning and configuration of cloud infrastructure. * Programming: Proficiency in at least one programming language, with a strong preference for Python. * Communication: Exceptional communication and presentation skills, with the ability to influence technical and non-technical stakeholders. Desirable: * Visualization: Familiarity with data visualization tools such as Qlik, Tableau, Looker, or Power BI. * Extract and Process: Develop and implement solutions to scrape and extract data from various sources and transform it into a usable format. * Domain Knowledge: Previous experience in the travel, digital, or e-commerce industries. * Analytical Skills: A strong understanding of data analysis principles and how to apply them to improve business outcomes. ## Additional Information Perks of working with us : How we work together: * An inclusive, friendly, and international environment (you’ll be working with colleagues from +10 countries and over 48 nationalities) * Shorter working week (36h as full time), with a half working day on Fridays * Flexible start and end of the working day, with core hours from 10:00 to 4:00 pm * Possibility to work from anywhere for a period of time per year defined according to local regulations How we learn together : * Fri-Yays: half a day on Friday morning with a no-meeting mandate and dedicated to deep work, personal growth, learning and training and/or focus time. * Professional and managerial skills development training paths, access to e-learning platforms such as O’reilly, Udemy, Coursera (depending on the department), and to our internal platform offering bespoke training content Other perks : * 2 paid days off per year for volunteering purposes * Occasional social events to foster connections among colleagues * Travel industry discounts and flash exclusive staff fares * We support our employees through life's significant moments with leave options (e.g parental responsibilities, marriages, bereavements, relocations, etc.) in line with local laws. Wish you were here? We do, too! Selection process steps* : * HR interview * 1st Manager Interview (30 minutes) * 2nd Manager Interview + Technical Test (1 hour) * 3rd Manager interview + Data Architect (1 hour) * Offer extended (*Please note the process can slightly vary. The recruiter in charge will share more details when setting up the interview) Our commitment to celebrate diversity and generate belonging At the heart of our culture is a commitment to inclusion across race, gender, age, sexual orientation, religion, gender identity or expression, and accessibility. We strongly believe in an equal opportunity space, which is welcoming and celebrates the uniqueness of everyone who works here. We value different lived experiences and respect viewpoints, as we know unicity drives innovation. We want to make sure our people reflect the communities across the world we help travel. Eligibility criteria: By submitting your information and application, you confirm that you are legally authorised to work in the country of employment and that you do not require visa sponsorship to obtain employment visa status.", "summaryDescription" : "Data Engineer at lastminute. com. Skills: Data engineering, Data pipelines, Google Cloud Platform, Dbt. Design data pipelines. Develop data pipelines", "postedDate" : "2026-06-15T14:52:19.000", "createdAt" : "2026-06-16T00:21:55.916", "lastUpdated" : "2026-06-16T14:06:13.109", "ingestTimestamp" : "2026-06-16T00:21:55.916", "mongoId" : "6a305d19f292fd229cf64a27", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Data architecture", "Data transformation", "Infrastructure provisioning", "Cloud infrastructure management", "Data engineering", "Data pipelines", "Google Cloud Platform", "Dbt", "Data modeling", "System design", "Prioritization", "Travel industry", "Digital industry", "E-commerce industry", "Airflow", "Terraform" ], "skillCount" : 17, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a87f292fd229cf52328", "title" : "Data Analyst", "company" : "Scopely", "industry" : "Media", "salary" : { "min" : 950000.0, "max" : 1550000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Bangalore, India, with mid-level experience in the gaming industry, adjusted for company size and onsite work mode." }, "location" : "Bangalore", "locations" : [ "Bangalore" ], "timestamp" : "2026-06-16T09:04:04.324", "fingerprint" : "acd99eed97a7e82aa2450ab159df05e3544833595bc70fc68360274008434d6d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/scopely/jobs/5226372008?gh_jid=5226372008", "externalId" : "5226372008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "hybrid", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Python, Tableau, Looker, R, SAS, SPSS, Matlab", "professionalSkills" : [ "Performance marketing analysis", "Forecasting" ], "hardSkillsList" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing" ], "hardSkills" : [ { "name" : "Quantitative analysis", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Complex queries", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" } ], "coreResponsibilities" : "Deliver actionable insights, Increase user acquisition, Increase engagement, Increase monetization, Provide reports, Design analytics events, Implement analytics events, Design queries, Implement queries, Evaluate game features, Improve game features, Perform analyses, Identify trends, Analyze trends, Interpret trends, Analyze issues, Interpret issues, Analyze opportunities, Interpret opportunities, Perform competitor analysis, Answer business questions, Generate business reports, Perform exploratory data analysis, Generate ad-hoc reports, Design statistical testing, Implement statistical testing", "teamCollaboration" : "Work collaboratively with game teams", "domainKnowledge" : "Mobile gaming", "domainList" : [ "mobile-gaming" ], "domainSpecificKnowledge" : [ "Mobile gaming" ], "toolProficiency" : [ "Tableau", "Looker" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "qualificationsBasic" : "B. TechS in Computer Science, B. TechS in Statistics, B. TechS in Math, B. TechS in Physics, 2+ years overall experience, 2+ years SQL/Python experience, 2+ years reporting system experience", "qualificationsPreferred" : "Advanced degrees, 2+ years mobile gaming domain, Statistical background, Onboarding analysis experience, Early funnel analysis experience", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Scopely is looking for a Data Analyst to join Bingo Bash team in Bangalore on a hybrid basis! At Scopely, we care deeply about what we do and want to inspire play, every day - whether in our work environments alongside our talented colleagues, or through our deep connections with our communities of players. We are a global team of game lovers who are developing, publishing and innovating the mobile games industry, connecting millions of people around the world daily. Bingo Bash is a highly international team working on the biggest video game from India to date (measured by revenue). Here you will work on a top-grossing F2P game with significant and growing daily revenues, and help create fresh content for our players.. What You’ll Do Work collaboratively with game teams to deliver actionable insights into our games to further increase user acquisition, engagement and monetization using statistical techniques & provide reports Design and implement new analytics events and queries for new game features, game events and player offers, to make sure the team gets the information they need to evaluate and improve the game Proactively perform a wide range of analyses to identify/analyze/interpret trends, issues, and opportunities across games and perform competitor analysis Answer business-related questions & generate business reports through exploratory data analyses and ad-hoc reporting Design and implement advanced statistical testing for specific problem-solving needs(e. g. A/B testing) What We’re Looking For B.Tech/BS in Computer Science, Statistics, Math, Physics or other quantitative disciplines 2+ years of overall experience in a data analyst, financial analyst, scientist or similar role performing quantitative, statistical or financial analysis 2+ years’ experience using SQL/Python, including complex queries from multiple data sources 2+ years’ experience creating reports using Tableau/Looker or a similar reporting system Experience creating, operating and analyzing multiple simultaneous A/B tests Excellent analytical and problem-solving skills, including forecasting and performance marketing analysis Strong communication and presentation skills, including extensive use of chart and table tools Passion for speed and large data sets Bonus Points Demonstrates openness to using AI-enabled tools to improve analytical workflows, accelerate insight generation, and support high-quality data-driven decision-making. Advanced degrees a plus 2+ years within the mobile gaming domain Strong statistical background Experience with R, SAS, SPSS, Matlab or other statistical modeling packages Had experience of onboarding/early funnel analysis At Scopely, we create games for everyone - and want to ensure that the people behind our games reflect that! We are committed to creating a diverse, supportive work environment where everyone is treated with respect. We are committed to providing equal employmentopportunities and welcome individuals from all backgrounds to join us & embrace the Adventure! About Scopely Scopely is a leading video game and global interactive entertainment company, home to many of the world’s most beloved and enduring experiences, including two of the most successful mobile games of all-time “MONOPOLY GO!” and “Pokémon GO,” along with “Stumble Guys,” “Star Trek™ Fleet Command,” “MARVEL Strike Force,” “WWE Champions,” the Scrabble® franchise, “Yahtzee® With Buddies,” and many others. Across mobile, web, PC, and console, Scopely creates, develops, publishes, and live-operates one of the most diversified and award-winning portfolios in the games industry — bringing hundreds of millions of players together through a shared love of play. Founded in 2011, Scopely is powered by its exceptional team — including thousands of world-class gamemakers around the globe, a distinctive tenet-driven culture, and its proprietary technology platform, Playgami. Together, these strengths have fueled Scopely’s position as the #1 mobile games company in the U. S. and #2 globally, generating more than $10 billion in lifetime revenue. Whether building global sensations like “MONOPOLY GO!” from the ground up, or expanding through strategic acquisitions, including the FoxNext, GSN, and Niantic games businesses — Scopely consistently delivers experiences players love today and return to for years to come. Recognized multiple times as one of the \"100 Most Influential Companies in the World\" by TIME magazine and one of Fast Company's \"World's Most Innovative Companies\" and “Best Workplaces for Innovators,” Scopely believes that video games can be a force for good — creating meaningful connections, vibrant communities, and making life better through play. Scopely has global operations and partners across four continents in more than a dozen countries worldwide. For more information, visit: https://www.scopely.com/. Notice to Candidates: Scopely will never request payment or financial information during the application or hiring process. Please apply only through our official website and verify that all Talent Partner communications come from an email address ending in @scopely.com. Should you have any questions or encounter any fraudulent requests/emails/websites, please immediately contact recruiting@scopely.com. Our job applicant privacy policies are available here: California Privacy Notice and EEA/UK Privacy Notice. Employment at Scopely is based solely on a person's merit and qualifications. Scopely 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 related condition (including breastfeeding), or any other basis protected by law. We also consider qualified applicants with arrest or conviction records, consistent with applicable federal, state and local law.", "summaryDescription" : "Data Analyst at Scopely. Deliver actionable insights. 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In this role, you’ll engage in analyzing large datasets to identify and rectify quality issues, continually monitor and optimize data pipelines, and implement robust quality control measures. You'll also contribute to automation efforts to streamline data processing, enhancing our team’s efficiency and the quality of our deliverables. If you are passionate about data quality, have a keen eye for detail, and thrive in collaborative environments, this role offers a unique opportunity to work on a significant global scale. Key Responsibilities * Ensure the accuracy, consistency, and integrity of large-scale datasets * Analyze data to identify anomalies, trends, and quality issues, and propose solutions * Support the implementation and maintenance of data quality checks and validation processes * Monitor and troubleshoot data pipelines to ensure reliable data flow and availability * Collaborate with cross-functional teams (engineering, product, operations) to address data-related challenges * Develop and maintain dashboards and reports to track data quality and key metrics * Contribute to automation efforts that improve efficiency and reduce manual data handling * Document data processes, definitions, and quality standards ## Qualifications Required skills and knowledge * Solid experience with SQL and at least basic-to-intermediate proficiency in Python * 2 years of experience in data analysis, data quality, or related roles * Familiarity with data warehousing concepts and ETL processes * Strong analytical thinking and problem-solving skills * Good attention to detail with a structured, methodical approach to work * Ability to communicate insights clearly to both technical and non-technical stakeholders * Experience working in collaborative, cross-functional teams * Strong communication skills * Fluent level of English language, both written and spoken ## Additional Information Optional Skills and knowledge * Exposure to big data tools such as AWS Athena, Apache Spark, or similar * Experience with data visualization tools (e.g., Grafana, Power BI, Tableau) * Basic understanding of data pipeline monitoring and optimization * Experience with data quality frameworks or testing approaches * Agile development in general and scaling agile frameworks like Less or SAFe in particular Salary: €21,700 to €32,500 gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria . Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Analyst at NielsenIQ. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. 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Key Responsibilities * Ensure the accuracy, consistency, and integrity of large-scale datasets * Analyze data to identify anomalies, trends, and quality issues, and propose solutions * Support the implementation and maintenance of data quality checks and validation processes * Monitor and troubleshoot data pipelines to ensure reliable data flow and availability * Collaborate with cross-functional teams (engineering, product, operations) to address data-related challenges * Develop and maintain dashboards and reports to track data quality and key metrics * Contribute to automation efforts that improve efficiency and reduce manual data handling * Document data processes, definitions, and quality standards ## Qualifications Required skills and knowledge * Solid experience with SQL and at least basic-to-intermediate proficiency in Python * 2 years of experience in data analysis, data quality, or related roles * Familiarity with data warehousing concepts and ETL processes * Strong analytical thinking and problem-solving skills * Good attention to detail with a structured, methodical approach to work * Ability to communicate insights clearly to both technical and non-technical stakeholders * Experience working in collaborative, cross-functional teams * Strong communication skills * Fluent level of English language, both written and spoken ## Additional Information Optional Skills and knowledge * Exposure to big data tools such as AWS Athena, Apache Spark, or similar * Experience with data visualization tools (e.g., Grafana, Power BI, Tableau) * Basic understanding of data pipeline monitoring and optimization * Experience with data quality frameworks or testing approaches * Agile development in general and scaling agile frameworks like Less or SAFe in particular Salary: €21,700 to €32,500 gross per year. Placement within the range will depend on objective criteria including experience, skills, and internal equity considerations. We are committed to equal pay and pay transparency. Remuneration decisions are made using gender-neutral and objective criteria . Our Benefits * Flexible working environment * Volunteer time off * LinkedIn Learning * Employee-Assistance-Program (EAP) NIQ may utilize artificial intelligence (AI) tools at various stages of the recruitment process, including résumé screening, candidate assessments, interview scheduling, job matching, communication support, and certain administrative tasks that help streamline workflows. These tools are intended to improve efficiency and support fair and consistent evaluation based on job-related criteria. All use of AI is governed by NIQ’s principles of fairness, transparency, human oversight, and inclusion. Final hiring decisions are made exclusively by humans. NIQ regularly reviews its AI tools to help mitigate bias and ensure compliance with applicable laws and regulations. If you have questions, require accommodations, or wish to request human review were permitted by law, please contact your local HR representative. For more information, please visit NIQ’s AI Safety Policies and Guiding Principles: https://www.nielseniq.com/global/en/ai-safety-policies. About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View™. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: [LinkedIn](https://www.linkedin.com/company/nielseniq/mycompany/) | [Instagram](https://www.instagram.com/nielseniq/) | [Twitter](https://twitter.com/nielseniq) | [Facebook](https://www.facebook.com/NielsenIQ.global/) Our commitment to Diversity, Equity, and Inclusion At NIQ, we are steadfast in our commitment to fostering an inclusive workplace that mirrors the rich diversity of the communities and markets we serve. We believe that embracing a wide range of perspectives drives innovation and excellence. All employment decisions at NIQ are made without regard to race, color, religion, sex (including pregnancy, sexual orientation, or gender identity), national origin, age, disability, genetic information, marital status, veteran status, or any other characteristic protected by applicable laws. We invite individuals who share our dedication to inclusivity and equity to join us in making a meaningful impact. To learn more about our ongoing efforts in diversity and inclusion, please visit the [https://nielseniq.com/global/en/news-center/diversity-inclusion](https://nam02.safelinks.protection.outlook.com/?url=https%3A%2F%2Fnielseniq.com%2Fglobal%2Fen%2Fnews-center%2Fdiversity-inclusion&data=05%7C02%7CJenny.Rebecca%40nielseniq.com%7C6e534cbe3eb041842d5f08dc6dca121e%7C6ac7a1f45fb14153bb4f12d2020a1f7d%7C0%7C0%7C638505961881417602%7CUnknown%7CTWFpbGZsb3d8eyJWIjoiMC4wLjAwMDAiLCJQIjoiV2luMzIiLCJBTiI6Ik1haWwiLCJXVCI6Mn0%3D%7C0%7C%7C%7C&sdata=B%2Fp40oNUpJOw1CNoc87EFXk%2BvxeO1jxYOSRCEKM%2Fz5Q%3D&reserved=0)", "summaryDescription" : "Data Analyst at NielsenIQ. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and implement data models. 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This role is ideal for a professional who combines strong project leadership, business analysis, and stakeholder manag", "summaryDescription" : "Project Lead - Data and Analytics at Collectiv. Skills: Data science, Data engineering, ML/AI, Business intelligence. Lead client-facing initiatives. 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We run high-impact data acquisition programs, such as our web crawler and our data partnerships, and work closely with research to build the training datasets for our models. Our work advances the intelligence of our models and teaches them new skills that hundreds of millions of people benefit from every day. ABOUT THE ROLE We are hiring a Program Manager to join our team. In this role, you will lead programs to acquire training data to advance our research roadmap. You will work with researchers to define requirements, design and manage acquisition workflows, and establish processes to execute them at scale. This role requires a blend of strategic thinking and hands-on execution. The ideal candidate can navigate ambiguity, break down complex problems, manage cross-functional stakeholders, and drive alignment across technical and business teams. This role may require living close to some physical operations across the US and some hybrid travel to San Francisco. IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. 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About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. In addition, job duties require access to secure and protected information technology systems and related data security obligations. To notify OpenAI that you believe this job posting is non-compliant, please submit a report through this form https://form.asana.com/?d=57018692298241&k=5MqR40fZd7jlxVUh5J-UeA. No response will be provided to inquiries unrelated to job posting compliance. We are committed to providing reasonable accommodations to applicants with disabilities, and requests can be made via this link https://form.asana.com/?k=bQ7w9h3iexRlicUdWRiwvg&d=57018692298241. OpenAI Global Applicant Privacy Policy https://cdn.openai.com/policies/global-employee-and-contractor-privacy-policy.pdf At OpenAI, we believe artificial intelligence has the potential to help people solve immense global challenges, and we want the upside of AI to be widely shared. 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IN THIS ROLE, YOU WILL: - Work closely with research to understand data needs and define acquisition priorities and timeline that are aligned with our research roadmap. - Translate research objectives into clear technical requirements and operational plans, ensuring data workflows, timelines, and quality standards are executed to the highest quality standards. - Lead vendor and partner engagements for data sourcing – including evaluating suppliers, negotiating agreements, and managing delivery. - Establish and maintain metrics for data quality, throughput, efficiency, and overall program performance, ensuring visibility to leadership and cross-functional partners. - Identify gaps in our data ecosystem and proactively drive initiatives to strengthen our data acquisition and creation capabilities over time. YOU MIGHT THRIVE IN THIS ROLE IF YOU: - Have 8+ years of experience in operations, strategy, venture capital, private equity, or consulting, with at least 5 years operating within a company. 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About OpenAI OpenAI is an AI research and deployment company dedicated to ensuring that general-purpose artificial intelligence benefits all of humanity. We push the boundaries of the capabilities of AI systems and seek to safely deploy them to the world through our products. AI is an extremely powerful tool that must be created with safety and human needs at its core, and to achieve our mission, we must encompass and value the many different perspectives, voices, and experiences that form the full spectrum of humanity. We are an equal opportunity employer, and we do not discriminate on the basis of race, religion, color, national origin, sex, sexual orientation, age, veteran status, disability, genetic information, or other applicable legally protected characteristic. For additional information, please see OpenAI’s Affirmative Action and Equal Employment Opportunity Policy Statement https://cdn.openai.com/policies/eeo-policy-statement.pdf. Background checks for applicants will be administered in accordance with applicable law, and qualified applicants with arrest or conviction records will be considered for employment consistent with those laws, including the San Francisco Fair Chance Ordinance, the Los Angeles County Fair Chance Ordinance for Employers, and the California Fair Chance Act, for US-based candidates. For unincorporated Los Angeles County workers: we reasonably believe that criminal history may have a direct, adverse and negative relationship with the following job duties, potentially resulting in the withdrawal of a conditional offer of employment: protect computer hardware entrusted to you from theft, loss or damage; return all computer hardware in your possession (including the data contained therein) upon termination of employment or end of assignment; and maintain the confidentiality of proprietary, confidential, and non-public information. 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