{ "count" : 46711, "data" : [ { "id" : "6a0ac3171663d49372e0c782", "title" : "Functional Analyst IV", "company" : "DataMap", "salary" : { "min" : 125500.0, "max" : 178500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Functional Analyst IV in Overland Park, United States, adjusted for the technology industry and company size." }, "location" : "Overland Park, KS", "locations" : [ "Overland Park", "KS" ], "timestamp" : "2026-06-16T05:08:04.994", "fingerprint" : "9ddc5341b35b31a49064971c4b82114282faac393256e8afe0dff69f54d4ff2a", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamap.breezy.hr/p/7ca38100291d-functional-analyst-iv", "externalId" : "7ca38100291d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Overland Park", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9742502,-94.6851702" } ], "locationText" : "Overland Park, Kansas, United States", "employmentType" : "FULL_TIME", "workSiteFlexibility" : "Onsite", "summaryDescription" : "Functional Analyst IV at DataMap", "createdAt" : "2026-06-14T18:54:07.454", "lastUpdated" : "2026-06-16T05:08:04.994", "ingestTimestamp" : "2026-06-14T18:54:07.454", "mongoId" : "6a0ac3171663d49372e0c782", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 125500, "salaryAnnualMax" : 178500, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "id" : "6a307b01f292fd229c042b3b", "title" : "Data Analyst IV", "company" : "itD Tech", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst IV in the US Technology industry, adjusted for remote work and contract employment." }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:45:59.556", "fingerprint" : "6010ea16452ea56360b37a1734bef2b45515b225e997dea6a55987d68938f8cb", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/itd/jobs/4286541009", "externalId" : "4286541009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "CONTRACT", "experienceMinYears" : 8, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, S3, Glue, SageMaker, Athena, Vertex AI, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML engineering", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling", "Machine learning", "Data modeling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "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 science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years Python, SQL proficiency, Bachelor's degree in Statistics, Bachelor's degree in Computer Science, Bachelor's degree in Mathematics", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Experience with TensorFlow, Experience with PyTorch, Experience with XGBoost, Experience with LightGBM, Experience with scikit-learn, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Data Analyst IV itD is seeking a Data Analyst IV to drive customer experience improvements for Reality Labs by transforming customer feedback and operational data into actionable business insights. The ideal candidate will bring deep experience in data analytics, customer experience analytics, and statistical analysis, with a proven track record of delivering data-driven recommendations that improve customer support operations and business outcomes. Location: Remote (U.S.) – PST or CST time zone preferred Duration: 12 months We provide comprehensive medical benefits, a 401(k) plan, paid holidays, and more. Please note that we are only considering direct W2 candidates at this time, as we are unable to offer sponsorship. Responsibilities Analyze customer support operational data, surveys, case transcripts, and other data sources to identify trends, customer pain points, and improvement opportunities. Monitor customer feedback and Voice of Customer metrics (NPS, CSAT, etc.) to identify emerging issues and perform root cause analysis. Integrate customer feedback with transactional, operational, and behavioral datasets to uncover key drivers impacting customer experience. Develop recurring and ad hoc reports that communicate actionable insights and influence business decisions across cross-functional stakeholders. Partner with customer support, operations, and business teams to identify root causes, recommend corrective actions, and measure improvement effectiveness. Apply statistical analysis techniques and data storytelling to translate complex findings into clear business recommendations for technical and non-technical audiences. Utilize SQL, Python, R, AI-powered analytics tools, Salesforce, and other analytical platforms to extract, analyze, and visualize data. Internal Responsibilities Attend regular internal practice community meetings. Collaborate with your itD practice team on industry thought leadership. Complete client case studies and learning material (blogs, media material). Build out material to contribute to the Digital Transformation practice. Attend internal itD networking events (in person and virtual). Work with leadership on career fast-track opportunities. Required Qualifications and Skills 8+ years of experience in data analytics, data science, or related analytical roles. 6+ years of experience with SQL, data querying, and statistical analysis techniques. Strong proficiency in Python, R, or similar scripting languages for data analysis. Experience with Customer Experience (CX) or Voice of Customer (VoC) metrics, including NPS, CSAT, surveys, and customer feedback analysis. Experience analyzing customer support operational metrics and identifying business improvement opportunities. Demonstrated expertise in data storytelling and presenting complex analytical insights to non-technical stakeholders. Experience applying statistical analysis methods to solve business problems. Experience working with or willingness to adopt AI technologies within analytics workflows. Preferred Qualifications and Skills Master's degree in Computer Science, Data Science, Statistics, Mathematics, or a related field. Experience using Generative AI technologies, LLMs, AI agents, and prompt engineering to automate analytics workflows and insight generation. Experience with Salesforce. Knowledge of predictive analytics, machine learning, or AI techniques. Experience supporting customer experience, customer support, customer care, or service-related analytics functions. Education Bachelor's degree in Computer Science, Data Science, Statistics, Mathematics, a related field, or equivalent work experience required. Company Description About itD: We are part of a new generation of consulting and software development company that blends diversity, innovation, and integrity with real business results. Our structure rejects any strong hierarchy, empowering us to deliver excellent results. We are a woman- and minority-led firm. Every day, we challenge ourselves to be considerate, fair and to re-think what great outcomes mean for our customers. This permeates down to how we approach every interaction, on every project, for every client. You’ll thrive here if you are a dynamic self-starter, a difference-maker or someone who wants to deliver great results, without constraints. The itD Digital Experience: Joining us means you’ll be part of our global community, you have a say about your own career journey, and you’ll get a chance to give back to causes that matter. You will experience working with Fortune 500 companies and high-performance teams across numerous industries. itD offers our employees excellent benefits such as medical, dental, vision, life insurance, paid holidays, 401K + matching, networking & career learning and development programs. We are growing and we want to see you grow! Visit https://itdtech.com/careers to learn more about what working at itD can mean for you. 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Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-15T12:40:42.464", "fingerprint" : "4cf2f5a2eb5e25ed612b70d0d76bd5d947f27208fa101cd1723bc7a261aa6527", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=32959", "externalId" : "32959", "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", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Oracle, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Data research", "Business requirements", "Data mining", "Segmentation techniques", "Information analysis", "Objective evaluation", "Problem-solving", "Strategic thinking", "Self-directed planning", "Goal setting", "Pattern recognition", "Risk assessment", "Data quality assessment", "Statistical analysis", "Data modeling", "Database design" ], "hardSkillsList" : [ "Data analysis", "Data research", "Data mining", "Segmentation techniques", "Statistical analysis", "Data modeling", "Database design", "Querying data", "Analyzing data", "Interpreting results", "Identifying data patterns", "Assessing data quality", "Cleaning data", "Pruning data", "Developing data standards", "Statistical modeling", "Graphic analysis" ], "softSkillsList" : [ "Critical thinking", "Interpersonal skills" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data research", "level" : "intermediate" }, { "name" : "Data mining", "level" : "intermediate" }, { "name" : "Segmentation techniques", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Database design", "level" : "intermediate" }, { "name" : "Querying data", "level" : "intermediate" }, { "name" : "Analyzing data", "level" : "intermediate" }, { "name" : "Interpreting results", "level" : "intermediate" }, { "name" : "Identifying data patterns", "level" : "intermediate" }, { "name" : "Assessing data quality", "level" : "intermediate" }, { "name" : "Cleaning data", "level" : "intermediate" }, { "name" : "Pruning data", "level" : "intermediate" }, { "name" : "Developing data standards", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Graphic analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" }, { "name" : "Interpersonal skills" } ], "majorSkills" : "Data analysis, ETL processes, Data quality, SQL querying", "majorSkillsList" : [ "Data analysis", "ETL processes", "Data quality", "SQL querying" ], "coreResponsibilities" : "Consult with customers to identify user needs, Compile and query data based on business requirements, Analyze data using standard statistical tools, Identify data gaps, errors, anomalies, inconsistencies and redundancies, Interpret results to identify significant differences in data, Identify and interpret data patterns and trends, Assess data quality, Clean and prune data to discard irrelevant information, Prepare technical reports to present and interpret data, Identify alternatives and make recommendations on data revisions, Assist in defining, developing and implementing data standards, Assist in developing data quality measures, Analyze data quality results, Implement changes to ensure data quality improvement, Develop software applications for statistical modeling, Develop software applications for graphic analysis, Perform other duties as needed", "teamCollaboration" : "Collaborating with teammates; TWC staff collaboration; Other state agency staff collaboration", "domainKnowledge" : "Oracle Enterprise Data Warehouse", "domainList" : [ "oracle-enterprise-data-warehouse" ], "domainSpecificKnowledge" : [ "Oracle Enterprise Data Warehouse" ], "toolProficiency" : [ "Oracle SQL Developer", "DBeaver", "Microsoft Excel" ], "communicationSkills" : "Present findings; Conduct workshops; Demonstrate work products", "continuousLearning" : "Training and development opportunities", "innovationCreativity" : "Creative problem solver", "problemSolvingSkills" : "Problem solver; Critical thinking; Analyzing problems; Devising effective solutions", "specialRequirements" : "Must be a Texas resident, Willing to relocate to Texas", "outcomesObjectives" : "Improve decision-making; Improve service efficiency; Leverage data for prosperity; Extract, transform, and load data for reporting; Serve employers, individuals, families, and communities of Texas; Develop, maintain, and improve current ETL processes; Make a difference in the lives of Texans", "qualificationsBasic" : "Three years of experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field, SQL proficiency, Oracle SQL Developer, DBeaver, or other similar SQL querying tool experience", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: Texas Workforce Commission connects people with careers across the state. While we are based in Austin on the north lawn of the Texas State Capitol, we have offices statewide. We're a Family Friendly Certified Workplace with great work-life balance, competitive salaries, extensive opportunities for training and development, and fantastic benefits. This position is located at 101 E 15th St, Austin, Texas, in the Information, Innovation and Insight Division. TWC is not considering applications from individuals who require sponsorship for an employment visa, including 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: We are looking for a creative and experienced Data Analyst IV to join the ETL team in TWC’s Division of Information Innovation and Insight (I|3). The division supports the agency’s mission by leveraging data to improve decision-making and service efficiency. That is, we leverage Data for Prosperity. The data analyst will support I|3’s mission to extract, transform, and load data for reporting to better serve the employers, individuals, families, and communities of Texas. Our ideal candidate is a self-starting, motivated, and collaborative problem solver who understands the value of teamwork, critical thinking, attention to detail, interpersonal skills, and data analysis to assist in management of TWC programs. Candidates must be enthusiastic about working collaboratively with teammates, TWC staff, and other state agency staff to deliver accurate information on deadline to a wide variety of stakeholders, including other State Agencies and Local Workforce Development Areas (LWDA). Candidates will have the opportunity to apply their mindset to develop, maintain, and improve current ETL processes, and ultimately make a difference in the lives of Texans. WHAT YOU WILL DO: The Data Analyst IV perform complex (journey-level) data analysis and data research. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. YOU WILL BE TRUSTED TO: -Consult with internal and external customers to identify user needs for business requirements and data sources. -Compile and query data, via an Oracle Enterprise Data Warehouse, based on business requirements to ensure accuracy and understanding of the requirements for development, optimization, and maintenance of data. -Analyze data using standard statistical tools, methods, and techniques with Oracle SQL Developer, DBeaver, and Microsoft Excel for analysis, development, and optimization. -Identify data gaps, errors, anomalies, inconsistencies and redundancies by analyzing the content, structure and relationships within data. -Interpret results to identify significant differences in data. -Identify and interpret data patterns and trends and assess data quality. -Clean and prune data to discard irrelevant information. -Prepare concise, comprehensive technical reports to present and interpret data, identify alternatives and make and justify recommendations on data revisions. -Assist in defining, developing and implementing data standards. -Assist in developing data quality measures, analyzing data quality results and implementing necessary changes to ensure data quality improvement. -Assist with developing software applications or programming to use for statistical modeling and graphic analysis. -Perform other duties as needed. YOU QUALIFY WITH: -Three years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -Relevant academic credits may be applied toward experience qualifications for this position. You Are a Great Fit With: -Experience with data models, database design development, data mining, and segmentation techniques. -Ability for critical thinking with an eye for information analysis, objective evaluation, and problem-solving. -Ability for strategic thinking with an eye for self-directed planning, goal setting, vision, pattern recognition, and risk assessment with opportunities for evaluation. -Ability to communicate effectively. -Experience with analyzing problems and devising effective solutions. -Experience with statistics and analyzing large data sets. -Experience with running queries in Oracle SQL Developer, DBeaver, or other similar SQL querying tool. -Experience presenting findings, workshops, and demonstrations of work products. -Experience with conducting data searches. YOU GAIN: - A Family Friendly Certified Workplace. - Competitive starting salary: $6,290.00 - $7,156.00 /month - 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_PlanningResearchandStatistics.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 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 Analyst IV at Texas Workforce Commission. Skills: Data analysis, ETL processes, Data quality, SQL querying. Consult with customers to identify user needs. 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Austin:101 E 15th St (320-4001) (320TX-4001)
101 E 15th St
Austin, 78778-0001

" ], "timestamp" : "2026-06-16T02:38:26.960", "fingerprint" : "716e016e5f058eb9855401032c89c01bcebdd6a209ee3b5b37bd2a948fba6d7c", "source" : "taleo", "language" : "en", "applyUrl" : "https://aa270.taleo.net/careersection/ex/jobdetail.ftl?job=34989", "externalId" : "34989", "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", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Statistical modeling", "Data analytics", "Data research" ], "hardSkillsList" : [ "Data analysis", "Data research", "Statistical modeling", "Data quality", "Data entry", "Data integrity", "Data collection" ], "softSkillsList" : [ "Active listening", "Linguistic proficiency" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data research", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data entry", "level" : "intermediate" }, { "name" : "Data integrity", "level" : "intermediate" }, { "name" : "Data collection", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Active listening" }, { "name" : "Linguistic proficiency" } ], "majorSkills" : "Data analysis, Statistical modeling, Data research", "majorSkillsList" : [ "Data analysis", "Statistical modeling", "Data research" ], "coreResponsibilities" : "Perform routine data analysis, Perform moderately complex data analysis, Perform journey-level data analysis, Conduct detailed analysis, Conduct extensive research, Provide data quality, Monitor data quality, Implement data quality, Perform complex data analysis, Identify data gaps, Identify data errors, Identify data anomalies, Identify data inconsistencies, Identify data redundancies, Develop databases, Implement databases, Optimize databases, Develop data collection systems, Implement data collection systems, Optimize data collection systems, Develop statistical modeling, Implement statistical modeling, Optimize statistical modeling, Develop data analytics, Implement data analytics, Optimize data analytics, Contribute to experimental studies, Contribute to quasi-experimental studies, Assess causal impact, Conduct simultaneous tasks, Prepare ad hoc analyses, Prepare ad hoc reports, Formulate methods for mitigating data entry, Deploy methods for mitigating data entry, Formulate methods for correcting data entry, Deploy methods for correcting data entry, Formulate methods for mitigating data integrity, Deploy methods for mitigating data integrity, Formulate methods for correcting data integrity, Deploy methods for correcting data integrity, Formulate methods for mitigating data collection, Deploy methods for mitigating data collection, Formulate methods for correcting data collection, Deploy methods for correcting data collection, Present data, Interpret data, Contextualize data, Communicate effectively, Collaborate effectively", "teamCollaboration" : "Education, Career, and Training Services team; Cross-training; Peer mentorship; Workforce program staff; Subject matter experts", "domainKnowledge" : "Adult Education & Literacy; Career & Training Programs; Workforce programs", "domainList" : [ "adult-education-literacy", "career-training-programs", "workforce-programs" ], "domainSpecificKnowledge" : [ "Adult Education & Literacy", "Career & Training Programs", "Workforce programs" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Constructive feedback; Sensitive feedback", "continuousLearning" : "Training opportunities; Professional development opportunities", "innovationCreativity" : "Initiative; Creativity; Independent judgment", "problemSolvingSkills" : "Analytical work; Solve system problems", "specialRequirements" : "Requires writing sample, Requires cover letter, Requires resume, Requires State of Texas Application", "outcomesObjectives" : "Improve TWC services", "qualificationsBasic" : "5+ years data analysis, 5+ years data research, Texas resident or willing to relocate", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "WHO WE ARE: The Texas Workforce Commission (TWC) connects people with careers across the state. The Data Analyst II-IV positions are located at 101 East 15th Street in Austin, TX. The expectation is that candidates will work full-time on-site. We're a Family Friendly Certified Workplace with a great work-life balance, competitive salaries, extensive opportunities for training and professional 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. TWC offers flexible schedules and requires work hours that are Monday to Friday between the hours of 7:00 AM to 6:00 PM. Flex scheduling is available depending on work performance and/or demonstration of need, but the individual should have the ability to be available for most peak business hours (9:00 AM to 5:00 PM). We are seeking creative and experienced Data Analyst II-IV to join the Department of Analytics and Evaluation (A&E) in TWC's Information Innovation & Insight (I|3) division. The Data Analyst will learn quickly, value public service, and pursue analytical work to unlock the power of data to improve TWC's services for Texas employers, individuals, families, and communities. The Data Analyst will work with the Education, Career, and Training Services (ECATS) team, which has eight members. The team specializes in TWC’s Adult Education & Literacy (AEL) and Career & Training (C&T) data. The AEL program is designed to benefit both families and early childhood educators. It ensures that children from vulnerable backgrounds can participate in early childhood education and care, helps parents understand their child’s learning and development, and improves educators’ knowledge of how to engage with vulnerable children and families in early childhood education. Primarily, however, the AEL Program assists adults who are not in school and provides funding for adult education and literacy initiatives. The Department of Labor’s (DOL) Career and Training Programs (C&T) are aimed at improving the employment prospects of adults, youth, and dislocated workers. DOL’s C&T Programs also include initiatives such as Supplemental Nutrition Assistance Program Employment and Training (SNAP E&T), the Noncustodial Parent Choices Program (NCP), and various veterans services. Members of the AELCT team operate collaboratively in an environment that encourages cross-training and peer mentorship. Staff are mostly self-directed and produce high-quality research and evaluation work as well as proactively creating and applying complex statistical models to solve system problems. The Data Analyst will work under limited supervision with broad latitude for the use of initiative, creativity, innovation, and independent judgment. In addition, the position offers access to a wealth of networking and professional development opportunities across I|3, TWC, and with national workforce system partners. Candidates must have excellent active listening skills and deliver criticism and feedback in constructive and sensitive ways. An advanced level of linguistic proficiency and communication is required to be considered for this position. What You Will Do: -Data Analyst II-III: Performs routine to moderately complex (journey-level) data analysis and data research work. Work involves conducting detailed analysis of, and extensive research on, data; providing results; and monitoring and implementing data quality. Works under moderate to general supervision, with limited latitude for the use of initiative and independent judgment. -Data Analyst IV: Performs complex (journey-level) data analysis and data research work. Works under general supervision, with moderate latitude for the use of initiative and independent judgment. Employees at this level may provide guidance to other data analysts and may identify data gaps, errors, anomalies, inconsistencies, and redundancies by analyzing the content, structure, and relationships within data. You Will be Trusted To: -Develop, implement, and optimize databases, data collection systems, statistical modeling, and data analytics techniques; -Contribute to experimental or quasi-experimental studies to assess causal impact of AEL and workforce program interventions -Conduct multiple simultaneous tasks and prepare ad hoc analyses and reports on short timeframes; -Formulate and deploy methods for mitigating and correcting data entry, integrity, and collection issues; -Present, interpret, and meaningfully contextualize data for technical and nontechnical audiences; -Communicate and collaborate effectively with AEL, workforce, and other program staff, subject matter experts, and others; -Develop and follow data governance, peer review, and quality assurance policies and protocols; -Demonstrate proficiency in computer programming and data analytic software use; -Perform other work duties as assigned and required to cultivate the agency’s programs; and -Commit to continuous professional development to cultivate technical skills and program knowledge. -Perform related work as assigned. YOU QUALIFY WITH: -Data Analyst II: One year of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -Data Analyst III: Two years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -Data Analyst IV: Three years of full-time experience in data science, business analytics, computer science, computer information systems, management information systems, accounting, finance, mathematics, statistics, economics, or a related field. -All Levels: Relevant academic credits may be applied toward experience qualifications for this position. You Are A Great Fit With: -Data Analyst II-III - will have knowledge of SQL, Python and/or R, training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, including: measures of central tendency/dispersion; probability distributions; sampling distributions; confidence intervals; hypothesis testing; simple linear regression; and correlation analysis. Will also have training and/or experience in additional analytical techniques, such as: forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; hierarchical models; and interactive data visualization. -Data Analyst IV - will have Knowledge of SQL, Python and/or R, plus training and/or experience in applying descriptive and inferential statistical techniques for business and economic decision making, and mixed methods qualitative and quantitative program evaluation. Will also have training and/or experience in additional analytical techniques, such as: forecasting; general and generalized linear models; nonparametric statistical hypothesis testing; and/or interactive data visualization. Plus, at least two years of experience in data analysis, research, compilation, and/or reporting work in a public administration/healthcare context, for example, in the AEL or another workforce program. You Gain: The position offers access to a wealth of networking and professional development opportunities across I|3, TWC, and with national workforce system partners. - A Family Friendly Certified Workplace. - Competitive starting salary: $5,000.00 - $6,250.00/month - 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. We will only consider applications that include all the following: (1) an attached writing sample (at least 1,000 words of business communication, technical explanation, or creative writing) (2) an attached cover letter explaining why you are interested in the job and how you think you’d be a good fit at the Texas Workforce Commission (3) an attached resume tailored to the Data Analyst II-IV position that specifies the classification you think is appropriate for your skillset (II, III, or IV); please refer to https://hr.sao.texas.gov/CompensationSystem/JobDescriptions/ for details. 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_PlanningResearchandStatistics.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 Analyst II-IV at Texas Workforce Commission. Skills: Data analysis, Statistical modeling, Data research. Perform routine data analysis. Perform moderately complex data analysis", "createdAt" : "2026-06-14T19:49:29.622", "lastUpdated" : "2026-06-16T02:38:26.960", "ingestTimestamp" : "2026-06-14T19:49:29.622", "mongoId" : "6a16141b58b93c861e8d30e8", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 95000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data research", "Statistical modeling", "Data quality", "Data entry", "Data integrity", "Data collection", "Active listening", "Linguistic proficiency", "Data analytics", "Adult Education & Literacy", "Career & Training Programs", "Workforce programs", "Dbt Cloud" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Government", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7a7b74d8ee00a09459da", "title" : "Research Analyst (Non-Data)", "company" : "DLH", "industry" : "Government", "salary" : { "min" : 50000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "timestamp" : "2026-06-15T03:42:24.456", "fingerprint" : "2bb47dfc553f404a5533834f75597a203d6d74264f4fb0b1a1b69b07e0caeac1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dlhcorporation/jobs/5160129007", "externalId" : "5160129007", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Data management, Data governance, Data analysis, Data dissemination, Artificial intelligence, Cloud enablement, Modeling, Simulation", "professionalSkills" : [ "Performance evaluation", "Systems engineering", "Digital transformation" ], "hardSkillsList" : [ "Scientific evidence translation", "Program data capture", "Data quality assessment" ], "softSkillsList" : [ "Communication skills" ], "hardSkills" : [ { "name" : "Scientific evidence translation", "level" : "intermediate" }, { "name" : "Program data capture", "level" : "intermediate" }, { "name" : "Data quality assessment", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Communication skills" } ], "majorSkills" : "Public health research, Data analysis, Program management", "majorSkillsList" : [ "Public health research", "Data analysis", "Program management" ], "coreResponsibilities" : "Ensure capture of program data, Produce reports based on program data, Monitor commitment and obligation of funds, Prepare reports on disbursement of funded projects, Help translate scientific evidence, Support coordination and management of program activity", "teamCollaboration" : "Cross-functional teams", "projectManagementSkills" : [ "Research project management" ], "domainKnowledge" : "Public health; HIV prevention; Health operations; National security readiness", "domainList" : [ "public-health", "hiv-prevention", "health-operations", "national-security-readiness" ], "domainSpecificKnowledge" : [ "Public health", "HIV prevention", "Health operations", "National security readiness" ], "communicationSkills" : "Written communication; Verbal communication", "documentationSkills" : "Meticulous documentation", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Problem solving", "specialRequirements" : "Reside within commuting distance of Atlanta, Chicago, or Washington, DC, Occasional in-person meetings", "outcomesObjectives" : "Strengthen nationwide capacity to monitor HIV epidemic", "qualificationsBasic" : "Bachelor's degree in public health, 2 years of experience managing research, Ability to obtain NAC clearance", "qualificationsPreferred" : "Experience handling public health research projects, Experience with systematic reviews, Prior experience with CDC, Master's degree in public health, Detail oriented and able to create meticulous documentation", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About Us DLH delivers improved health and national security readiness solutions for federal programs through science research and development, systems engineering and integration, and digital transformation. Our experts in public health, performance evaluation, and health operations solve the complex problems faced by civilian and military customers alike by leveraging advanced tools – including digital transformation, artificial intelligence, data analytics, cloud enablement, modeling, and simulation, and more. With over 2,400 employees dedicated to the idea that “Your Mission is Our Passion,” DLH brings a unique combination of government sector experience, proven methodology, and unwavering commitment to innovation to improve the lives of millions. Overview DLH Corp, is looking for a Public Health Research Analyst (Non-Data) to join our talented and innovative team supporting the Centers for Disease Control and Prevention (CDC). CDC’s National Center for HIV/AIDS, Viral Hepatitis, STD, and TB Prevention (NCHHSTP), the Division of HIV Prevention (DHP) is charged with preventing HIV infection and reducing the incidence of HIV-related illness and death. The overarching objectives of the contract held by DLH are to assist DHP in addressing its public health mission by providing data management, data governance, data analysis, and data dissemination support to strengthen the nationwide capacity to monitor the HIV epidemic. This position is 100% remote. However, employees may be required to attend occasional in-person meetings, trainings, or team events on an as-needed basis. To support onboarding and compliance requirements, candidates must reside within reasonable commuting distance of Atlanta, GA; Chicago, IL; or Washington, DC. Access to one of these secure office locations is required for smart card issuance, background investigation processing, and other periodic administrative or security-related activities. Responsibilities Ensure the capture of program data. Produce reports based on program data. Monitor the commitment and obligation of funds. Prepare reports on disbursement of funded research or demonstration projects. Help translate scientific evidence from the literature into practical information. Support ongoing coordination and management of program activity. Qualifications Bachelor’s degree in public health or related field. Demonstrated ability to work with multiple data sources to monitor and assess data to ensure data quality, including accuracy and completeness. At least 2 years of experience with managing or running a research or demonstration project. Familiarity with public health research budgets and expenditures. Excellent written and verbal communication skills. Ability to multitask and prioritize competing needs. Must be able to obtain a NAC clearance Preferred Qualifications Experience handling public health research projects. Experience with systematic reviews. Prior experience with CDC, HHS, or other federal or state health agency. Master’s degree in public health or related field. Detail oriented and able to create meticulous documentation of products. Strong organizational and interpersonal skills. Basic Compensation: $50,000 - $70,000 yearly salary The salary range listed reflects what we reasonably expect to pay for this role at the time of posting. The final offer may vary based on skills, experience, geographic location, market conditions, and internal equity. Additional compensation may include performance incentives and program-specific awards. We do not use salary history to determine compensation, in line with applicable law. Benefits DLH Corp offers our employees an excellent benefits package, including Personal Time Off (PTO), medical, dental, vision, supplemental life with AD therefore, we offer a 401(k) Retirement Plan, which includes a matching component. DLH is dedicated to your career development, providing training to help drive success, with access to our best-in-class e-learning suite for formal and informal learning, professional and technical certification preparation, and education assistance at accredited institutions. #LI-REMOTE EEO DLH Corporation is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment. DLH will provide reasonable accommodation to individuals with disabilities and disabled Veterans who need assistance to apply. DLH is committed to maintaining a fair and authentic interview process", "summaryDescription" : "Research Analyst (Non-Data) at DLH. Skills: Public health research, Data analysis, Program management. Ensure capture of program data. 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"llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305abdf292fd229cf54f53", "title" : "Senior International Capability Development Subject Matter Expert (SME)", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior International Capability Development SME in Tampa, USA, adjusted for seniority and full-time employment." }, "location" : "Tampa, FL", "locations" : [ "Tampa, FL" ], "timestamp" : "2026-06-16T08:32:37.657", "fingerprint" : "42310ee9a003b6c843853cbac6026ca3a46ad3192dce7a2605a7b932e9c1063d", "source" : "jazzhr", "language" : "en", "externalId" : "ukPOdlhIZl", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Tampa", "state" : "Florida", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "27.9449854,-82.4583107" } ], "locationText" : "Tampa, Florida, United States", 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"hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c6bda74d8ee00a0915653", "title" : "Warfighting Capability Analyst", "company" : "Anduril Industries", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 185000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Warfighting Capability Analyst in Quincy, United States, adjusted for the defense technology industry and company size." }, "location" : "Quincy, Massachusetts, United States", "locations" : [ "Quincy", "Massachusetts", "United States" ], "timestamp" : "2026-06-15T11:07:46.596", "fingerprint" : "659b58a49077dc2acc7ccde23dce0fa5ca6d0450d2ca99ae8cd439164e3e405d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/andurilindustries/jobs/5162802007?gh_jid=5162802007", "externalId" : "5162802007", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Quincy", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.2509914,-71.0037374" } ], "locationText" : "Quincy, Massachusetts, United States", "technicalSkills" : "AI, Computer vision, Sensor fusion, Networking technology, Data analysis", "professionalSkills" : [ "Capability development", "Defense strategy", "Mission engineering", "Operational analysis", "Market dynamics" ], "hardSkillsList" : [ "Threat analysis", "Force structure analysis", "Campaign analysis" ], "hardSkills" : [ { "name" : "Threat analysis", "level" : "intermediate" }, { "name" : "Force structure analysis", "level" : "intermediate" }, { "name" : "Campaign analysis", "level" : "intermediate" } ], "majorSkills" : "Warfighting capability, Operational analysis, Defense technology", "majorSkillsList" : [ "Warfighting capability", "Operational analysis", "Defense technology" ], "coreResponsibilities" : "Conduct mission analysis, Identify operational problems, Identify capability gaps, Identify product opportunities, Develop concepts of operation, Refine concepts of employment, Develop operational vignettes, Refine mission threads, Develop use cases, Analyze threat environments, Analyze customer missions, Analyze force structure, Analyze operational constraints, Define measures of effectiveness, Define measures of performance, Define operational value propositions, Translate customer needs, Translate mission problems, Build decision-oriented briefings, Build white papers, Build analytic products, Support capture efforts, Support strategy efforts, Support business development, Compare alternative capabilities, Assess trade-offs, Partner with analysts, Partner with engineers, Partner with operators, Ensure technical solutions, Contribute to roadmaps, Contribute to investment priorities, Contribute to campaign analyses, Contribute to product-market fit", "teamCollaboration" : "Engineering teams; Product leaders; Operational stakeholders; Systems analysts; Business-line leaders", "projectManagementSkills" : [ "Capability roadmaps", "Investment priorities" ], "domainKnowledge" : "Defense technology; Military operations; Emerging technology; Customer mission sets; Defense market dynamics; Warfighting needs", "domainList" : [ "defense-technology", "military-operations", "emerging-technology", "customer-mission-sets", "defense-market-dynamics", "warfighting-needs" ], "domainSpecificKnowledge" : [ "Defense technology", "Military operations", "Emerging technology", "Customer mission sets", "Defense market dynamics", "Warfighting needs" ], "communicationSkills" : "Clear communication; Decision-oriented briefings; White papers; Analytic products", "problemSolvingSkills" : "Decompose problems; Structured analysis", "specialRequirements" : "Costa Mesa, CA, Quincy, MA", "qualificationsBasic" : "Operational analysis experience, Military planning experience, Capability development experience, Defense strategy experience, Mission engineering experience, Military operations experience, Intelligence analysis experience", "workSiteFlexibility" : "Flexible", "rawDescription" : "Anduril Industries is a defense technology company with a mission to transform U. S. and allied military capabilities with advanced technology. By bringing the expertise, technology, and business model of the 21st century’s most innovative companies to the defense industry, Anduril is changing how military systems are designed, built and sold. Anduril’s family of systems is powered by Lattice OS, an AI-powered operating system that turns thousands of data streams into a realtime, 3D command and control center. As the world enters an era of strategic competition, Anduril is committed to bringing cutting-edge autonomy, AI, computer vision, sensor fusion, and networking technology to the military in months, not years. ABOUT THE TEAM Anduril is a defense technology company, bringing Silicon Valley talent and funding to the defense sector. Our technology helps our customers solve their toughest challenges by enabling them to make better, more informed decisions in life-and-death situations. We've assembled a diverse team of experts in artificial intelligence, computer vision, sensor fusion, optics, and data analysis to create software and hardware solutions that radically evolve the defense capabilities of the United States and its allies. If you are passionate about solving problems that have real impact, we want you to join Anduril and help us build the future of defense capability. ABOUT THE JOB At Anduril, we are developing unmanned systems for subsurface, surface, land, and air domains that will leverage unsupervised autonomy for the delivery of multi-mission capability to our customers. These projects require Warfighting Capability Analysts who can connect operational problems, threat-informed scenarios, customer needs, and product employment concepts to guide what we build and why it matters. We are looking for our next Warfighting Capability Analyst to join our rapidly growing team. This position is available in either Costa Mesa, CA or Quincy, MA. The Warfighting Capability Analyst supports the development, evaluation, and communication of mission-relevant defense capabilities. This role focuses on understanding what capability the warfighter requires, why it matters, how it would be employed, and how the company should prioritize solutions that deliver operational advantage. The analyst serves as a bridge between customers, business lines, engineering teams, product leaders, and operational stakeholders, translating ambiguous mission problems into structured capability gaps, concepts of employment, measures of effectiveness, operational vignettes, and decision-quality analysis that informs product strategy, growth, and program execution. This role is ideal for individuals who can reason across military operations, emerging technology, customer mission sets, and defense market dynamics, and who can communicate complex operational ideas clearly to both technical and non-technical audiences. WHAT YOU'LL DO Conduct mission analysis to identify operational problems, capability gaps, and opportunities for differentiated product or system employment Develop and refine concepts of operation, concepts of employment, operational vignettes, mission threads, and use cases for current and future systems Analyze threat environments, customer missions, force structure, operational constraints, and campaign-level context to inform capability development Define measures of effectiveness, measures of performance, and operational value propositions for proposed capabilities Support product, growth, and engineering teams by translating customer needs and mission problems into capability priorities and defensible requirements Build clear, decision-oriented briefings, white papers, narratives, and analytic products for internal executives, customers, and external stakeholders Support capture, strategy, and business development efforts by articulating how company capabilities solve specific operational problems Compare alternative capability approaches and assess trade-offs in mission utility, feasibility, scalability, cost, survivability, and operational relevance Partner with systems analysts, engineers, operators, and business-line leaders to ensure technical solutions remain anchored to real warfighting needs Contribute to internal capability roadmaps, investment priorities, campaign analyses, and product-market fit assessments in defense contexts REQUIRED QUALIFICATIONS Experience in operational analysis, military planning, capability development, defense strategy, mission engineering, military operations, intelligence analysis, or a related field Ability to decompose ambiguous operational problems into structured analytic questions and actionable recommendations Strong understanding of military missions, operational concepts, threat-informed planning, and the relationship between technology and warfighting outcomes Excellent written and verbal communication skills, including the ability to produce executive-level briefings and clear analytic narratives Ability to work across technical, operational, and business stakeholders in a fast-paced environment Strong judgment, intellectual curiosity, and comfort operating with incomplete information Ability to translate between customer language, operational need, product strategy, and engineering implications Currently possesses and is able to maintain an active U. S. Secret security clearance PREFERRED QUALIFICATIONS Prior military, DoD, defense industry, intelligence community, operational test, campaign analysis, or warfighting development experience Experience supporting maritime, undersea, autonomous systems, air, surface, C2, ISR, fires, logistics, or other operational mission areas Familiarity with CONOPS development, campaign analysis, wargaming, modeling and simulation, operational test, requirements development, or capability portfolio management Experience working directly with government customers, senior military leaders, product teams, or engineering organizations Experience with both qualitative and quantitative analysis Eligible to obtain and maintain an active U. S. Top Secret security clearance US Salary Range $166,000—$220,000 USD The salary range for this role is an estimate based on a wide range of compensation factors, inclusive of base salary only. Actual salary offer may vary based on (but not limited to) work experience, education and/or training, critical skills, and/or business considerations. Highly competitive equity grants are included in the majority of full time offers; and are considered part of Anduril's total compensation package. Additionally, Anduril offers top-tier benefits for full-time employees, including: Benefits At Anduril, we invest in our people. Our comprehensive, competitive benefits package (available at little to no cost to employees) ensures you’re supported in health, recovery, and whatever comes next. For more information, Explore Our Benefits. Protecting Yourself from Recruitment Scams Anduril is committed to maintaining the integrity of our Talent acquisition process and the security of our candidates. We've observed a rise in sophisticated phishing and fraudulent schemes where individuals impersonate Anduril representatives, luring job seekers with false interviews or job offers. These scammers often attempt to extract payment or sensitive personal information. To ensure your safety and help you navigate your job search with confidence, please keep the following critical points in mind: No Financial Requests: Anduril will never solicit payment or demand personal financial details (such as banking information, credit card numbers, or social security numbers) at any stage of our hiring process. Our legitimate recruitment is entirely free for candidates. Please always verify communications: Direct from Anduril: If you receive an email from one of our recruiters, it will only come from an @anduril.com address. Via Agency Partner: If contacted by a recruiting agency for an Anduril role, their email will clearly identify their agency. If you suspect any suspicious activity, please verify the agency's authenticity by reaching out to contact@anduril.com. Exercise Caution with Unsolicited Outreach: If you receive any communication that appears suspicious, contains grammatical errors, or makes unusual requests, do not engage. Always confirm the sender's email domain is @anduril.com before providing any personal information or clicking on links. What to Do If You Suspect Fraud: Should you encounter any questionable or fraudulent outreach claiming to be from Anduril, please report it immediately to contact@anduril.com. Your proactive caution is invaluable in protecting your personal information and upholding the security and trustworthiness of our recruitment efforts. Data Privacy To view Anduril's candidate data privacy policy, please visit https://anduril.com/applicant-privacy-notice/. By submitting your application, you consent to Anduril Industries using a third-party service provider to conduct pre-employment risk, integrity, and due diligence screening and assessing potential risks as part of your application process. This third-party service provider provides risk-intelligence services that may include analysis of sanctions and watchlists, adverse media, public-record information, and other lawful open-source or commercial data sources. This third-party service provider does not act as a consumer reporting agency. Use of this provider helps to ensure compliance with applicable laws and protect technology, intellectual property, and organizational security.", "summaryDescription" : "Warfighting Capability Analyst at Anduril Industries. Skills: Warfighting capability, Operational analysis, Defense technology. Conduct mission analysis. 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S. data", "intelligence concepts and capabilities", "non-U. S. forces, units, equipment (FUE) and infrastructure data", "allied and partner-related data", "force structure planning", "capability gap assessment", "force posture analysis", "data-driven policy decisions", "requirements generation", "strategic planning", "logistics and force inventories", "personnel readiness databases", "intelligence reports" ], "hardSkillsList" : [ "data acquisition", "data evaluation", "data verification", "data management", "data analysis", "data dissemination", "methodology development", "methodology enhancement", "data collection", "data review", "data transformation", "data tailoring" ], "softSkillsList" : [ "collaborative working relationship" ], "hardSkills" : [ { "name" : "data acquisition", "level" : "intermediate" }, { "name" : "data evaluation", "level" : "intermediate" }, { "name" : "data verification", "level" : "intermediate" }, { "name" : "data management", "level" : "intermediate" }, { "name" : "data analysis", "level" : "intermediate" }, { "name" : "data dissemination", "level" : "intermediate" }, { "name" : "methodology development", "level" : "intermediate" }, { "name" : "methodology enhancement", "level" : "intermediate" }, { "name" : "data collection", "level" : "intermediate" }, { "name" : "data review", "level" : "intermediate" }, { "name" : "data transformation", "level" : "intermediate" }, { "name" : "data tailoring", "level" : "intermediate" } ], "softSkills" : [ { "name" : "collaborative working relationship" } ], "majorSkills" : "Non US Capability Data Acquisition, Functional Area Analysis, Intelligence Analysis, Data Management, Data Analysis", "majorSkillsList" : [ "Non US Capability Data Acquisition", "Functional Area Analysis", "Intelligence Analysis", "Data Management", "Data Analysis" ], "coreResponsibilities" : "Provide subject matter expertise on intelligence and non-U. S. data to support the proper employment and implementation of intel concepts and capabilities within in support of analytic studies., Works with the Intelligence Community to provide the most accurate and up-to-date non-U. S. forces, units, equipment (FUE) and infrastructure data for IC-designated nations., Acquire, evaluate, and verify intelligence community informed non-U. S. military (both conventional and non-conventional) FUE and capability data., Develop, maintain, and enhance methodologies to capture, organize, maintain, and present current, and future year non-U. S. FUE databases., Acquire non-U. S. data to assess, describe, and document the conditions of data availability identify, describe, and document constraints., Develop, maintain, and enhance methodologies to capture, organize, maintain, and present allied and partner-related data to support studies and analyses yearly to include allied forces for scenarios, strategic guidance, and national security strategy., Research allied and partner data to assess, describe, and document the conditions of data availability as well as identify, describe, and document constraints such as classification, format, and data pedigree., Perform updates to data collection and verification methodologies by suggesting changes to how JDS acquires non-U. S. forces data as well as developing options to automate or streamline data review functions within JDS., Update data products quarterly and make new/updated products available to the users in various forms., Create, transform, and tailor datasets to studies, analyses, models, simulations, and other analytic methods that capture enabling capabilities quarterly., Provide analytic support and non-U. S. data and intelligence subject matter expertise to technical studies, analyses, or rapid assessments.", "teamCollaboration" : "Establish a collaborative working relationship with data providers and related subject matter experts to ensure JDS has the most accurate non-U. S. forces data available.", "domainKnowledge" : "U. S. current military operations; munitions; readiness; deployment routines covering air/space, ground, special operations, and maritime domains; The DoW Planning, Programming, Budgeting, and Execution (PPBE) DoW process; Intelligence collection and analysis related to Allies & Partner capabilities and requirements; near-peer adversary capabilities; threat modeling; operational environments; force structure modeling; operation readiness; global logistics data; force structure planning; capability gap assessment; force posture analysis", "domainList" : [ "u-s-current-military-operations", "munitions", "readiness", "deployment-routines-covering-air-space", "ground", "special-operations", "and-maritime-domains", "the-dow-planning", "programming", "budgeting", "and-execution-ppbe-dow-process", "intelligence-collection-and-analysis-related-to-allies-partner-capabilities-and-requirements", "near-peer-adversary-capabilities", "threat-modeling", "operational-environments", "force-structure-modeling", "operation-readiness", "global-logistics-data", "force-structure-planning", "capability-gap-assessment", "force-posture-analysis" ], "domainSpecificKnowledge" : [ "U. S. current military operations", "munitions", "readiness", "deployment routines covering air/space, ground, special operations, and maritime domains", "The DoW Planning, Programming, Budgeting, and Execution (PPBE) DoW process", "Intelligence collection and analysis related to Allies & Partner capabilities and requirements", "near-peer adversary capabilities", "threat modeling", "operational environments", "force structure modeling", "operation readiness", "global logistics data", "force structure planning", "capability gap assessment", "force posture analysis" ], "toolProficiency" : [ "Structured Query Language (SQL)" ], "continuousLearning" : "professional training and development", "innovationCreativity" : "Innovative Projects", "specialRequirements" : "TS/SCI Clearance, Travel Requirements: Minimal 0-20% to NCR region", "outcomesObjectives" : "support collaborative study teams guided by the Analysis Working Group (AWG); develop standardized data products and analytic tools to support Joint analytic efforts focused on Senior Leader decision support; support AWG led SCI/SAP/SAR studies and analyses; assist strategic analysis", "qualificationsBasic" : "BA Degree, A minimum of ten (10) years of experience in at least two (2) of the following areas: Military or operations research-related field (e.g., U. S. current military operations, munitions, readiness, and deployment routines covering air/space, ground, special operations, and maritime domains), The DoW Planning, Programming, Budgeting, and Execution (PPBE) DoW process., Intelligence collection and analysis related to Allies & Partner capabilities and requirements, as well as near-peer adversary capabilities, threat modeling, and operational environments., A minimum of ten (10) years of experience working with DoW stakeholders to collect, maintain, and refine complex datasets (e.g., force structure modeling, operation readiness, and global logistics data), A minimum of three (3) years of demonstrated ability leading DoW analytic and/or operations research teams focused on force structure planning, capability gap assessment, or force posture analysis as a Team, A minimum of 10 years, possessing adeptness in interfacing clients regarding data-driven policy decisions, requirements generation, and strategic planning, as well as demonstrated expertise in using Structured Query Language (SQL) to manage and query logistics and force inventories, personnel readiness databases, and intelligence reports., TS/SCI Clearance", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "**Title:** Non US Capability Data Acquisition SME (Functional Area Analyst IV) KBR’s National Security Solutions team provides high-end engineering and advanced technology solutions to our customers in the intelligence and national security communities. In this position, your work will have a profound impact on the country’s most critical role – protecting our national security. **Why Join Us?** * **Innovative Projects:** KBR’s work is at the forefront of engineering, logistics, operations, science, program management, mission IT and cybersecurity solutions. * **Collaborative Environment:** Be part of a dynamic team that thrives on collaboration and innovation, fostering a supportive and intellectually stimulating workplace. * **Impactful Work:** Your contributions will be pivotal in designing and optimizing defense systems that ensure national security and shape the future of space defense. **Key Responsibilities:** KBR seeks a Functional Area Analyst to support the CAPE Joint Data Support (JDS) Division. CAPE JDS is a multi-source funded and OSD CAPE managed organization responsible for identifying, collecting, developing, analyzing, managing, and disseminating historical, current, and future years U.S. and Non-U.S. forces inventory, capabilities, and deployment data (including planning, programming, and acquisition data) supporting collaborative study teams guided by the Analysis Working Group (AWG). JDS develops standardized data products and analytic tools to support Joint analytic efforts focused on Senior Leader decision support. Additionally, JDS supports AWG led SCI/SAP/SAR studies and analyses. This task focuses on the collection of future force structure and capabilities data for threat and high-priority nations to assist strategic analysis. The contractor shall: 1\\. Provide subject matter expertise on intelligence and non-U.S. data to support the proper employment and implementation of intel concepts and capabilities within in support of analytic studies. 2\\. Works with the Intelligence Community to provide the most accurate and up-to-date non-U.S. forces, units, equipment (FUE) and infrastructure data for IC-designated nations. 3\\. Acquire, evaluate, and verify intelligence community informed non-U.S. military (both conventional and non-conventional) FUE and capability data. 4\\. Develop, maintain, and enhance methodologies to capture, organize, maintain, and present current, and future year non-U.S. FUE databases. 5\\. Acquire non-U.S. data to assess, describe, and document the conditions of data availability quarterly; identify, describe, and document constraints. 6\\. Develop, maintain, and enhance methodologies to capture, organize, maintain, and present allied and partner-related data to support studies and analyses yearly to include allied forces for scenarios, strategic guidance, and national security strategy. 7\\. Research allied and partner data to assess, describe, and document the conditions of data availability as well as identify, describe, and document constraints such as classification, format, and data pedigree. 8\\. Perform updates to data collection and verification methodologies by suggesting changes to how JDS acquires non-U.S. forces data as well as developing options to automate or streamline data review functions within JDS. 9\\. Update data products quarterly and make new/updated products available to the users in various forms. 10\\. Establish a collaborative working relationship with data providers and related subject matter experts to ensure JDS has the most accurate non-U.S. forces data available. 11\\. Create, transform, and tailor datasets to studies, analyses, models, simulations, and other analytic methods that capture enabling capabilities quarterly. 12\\. Provide analytic support and non-U.S. data and intelligence subject matter expertise to technical studies, analyses, or rapid assessments. **Work Environment:** * **Location:** On-site, Pentagon with Travel to Mark Center * **Travel Requirements:** Minimal 0-20% to NCR region * **Working Hours:** Standard **Qualifications:** **Required:** * BA Degree is required * A minimum of ten (10) years of experience in at least two (2) of the following areas: o Military or operations research-related field (e.g., U.S. current military operations, munitions, readiness, and deployment routines covering air/space, ground, special operations, and maritime domains) o The DoW Planning, Programming, Budgeting, and Execution (PPBE) DoW process. o Intelligence collection and analysis related to Allies & Partner capabilities and requirements, as well as near-peer adversary capabilities, threat modeling, and operational environments. * A minimum of ten (10) years of experience working with DoW stakeholders to collect, maintain, and refine complex datasets (e.g., force structure modeling, operation readiness, and global logistics data); and, * A minimum of three (3) years of demonstrated ability leading DoW analytic and/or operations research teams focused on force structure planning, capability gap assessment, or force posture analysis as a Team Lead; and, * A minimum of 10 years, possessing adeptness in interfacing clients regarding data-driven policy decisions, requirements generation, and strategic planning, as well as demonstrated expertise in using Structured Query Language (SQL) to manage and query logistics and force inventories, personnel readiness databases, and intelligence reports. * TS/SCI Clearance is required for this position. **Basic Compensation:** The offered rate will be based on the selected candidate’s knowledge, skills, abilities and/or experience and in consideration of internal parity. **Additional Compensation:** KBR may offer bonuses, commissions, or other forms of compensation to certain job titles or levels, per internal policy or contractual designation. Additional compensation may be in the form of sign on bonus, relocation benefits, short term incentives, long term incentives, or discretionary payments for exceptional performance. **Ready to Make a Difference?** If you’re excited about making a significant impact in the field of space defense and working on projects that matter, we encourage you to apply and join our team at KBR. Let's shape the future together. **KBR Benefits** KBR offers a selection of competitive lifestyle benefits which could include 401K plan with company match, medical, dental, vision, life insurance, AD&D, flexible spending account, disability, paid time off, or flexible work schedule. We support career advancement through professional training and development. Belong, Connect and Grow at KBR At KBR, we are passionate about our people and our Zero Harm culture. These inform all that we do and are at the heart of our commitment to, and ongoing journey toward being a People First company. That commitment is central to our team of team’s philosophy and fosters an environment where everyone can Belong, Connect and Grow. We Deliver – Together. KBR is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, disability, sex, sexual orientation, gender identity or expression, age, national origin, veteran status, genetic information, union status and/or beliefs, or any other characteristic protected by federal, state, or local law.", "summaryDescription" : "Non US Capability Data Acquisition SME (Functional Area Analyst IV) at KBR. Skills: Non US Capability Data Acquisition, Functional Area Analysis, Intelligence Analysis, Data Management, Data Analysis. Provide subject matter expertise on intelligence and non-U. S. data to support the proper employment and implementation of intel concepts and capabilities within in support of analytic studies.. 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"employmentType" : "FULL_TIME", "experienceMinYears" : 1, "experienceMaxYears" : 3, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, Looker, Tableau", "professionalSkills" : [ "User acquisition analytics", "Marketing analytics", "Growth analytics", "Performance metrics analysis", "A/B testing", "Creative analysis", "Competitive analysis", "Industry trend research" ], "hardSkillsList" : [ "Data analysis", "Performance analysis", "Funnel metrics", "Bidding strategies" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Organized", "Curiosity", "Ownership" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Performance analysis", "level" : "intermediate" }, { "name" : "Funnel metrics", "level" : "intermediate" }, { "name" : "Bidding strategies", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Organized" }, { "name" : "Curiosity" }, { "name" : "Ownership" } ], "majorSkills" : "User Acquisition, Data Analysis, Performance Optimization", "majorSkillsList" : [ "User Acquisition", "Data Analysis", "Performance Optimization" ], "coreResponsibilities" : "Support user acquisition analytics, Track campaign performance, Analyze campaign performance, Optimize campaign performance, Monitor key performance metrics, Analyze key performance metrics, Identify trends, Identify risks, Identify opportunities, Build dashboards, Maintain dashboards, Build reports, Maintain reports, Build recurring analyses, Maintain recurring analyses, Evaluate A/B tests, Support A/B tests, Translate datasets into insights, Translate datasets into recommendations, Present findings, Align UA performance with company goals, Align UA performance with forecasts, Evaluate ad performance, Evaluate app store conversion, Evaluate funnel metrics, Contribute to competitive analysis, Contribute to industry trend research, Assist in improving data processes, Assist in improving documentation, Assist in improving reporting workflows", "teamCollaboration" : "Partnering with UA managers; Collaborate with UA teams; Collaborate with Creative teams; Collaborate cross-functionally; Align with Product teams; Align with Finance teams; Align with Data teams", "domainKnowledge" : "Mobile gaming; Player behavior; Monetization models; Live operations; User acquisition; Marketing KPIs; Growth KPIs", "domainList" : [ "mobile-gaming", "player-behavior", "monetization-models", "live-operations", "user-acquisition", "marketing-kpis", "growth-kpis" ], "domainSpecificKnowledge" : [ "Mobile gaming", "Player behavior", "Monetization models", "Live operations", "User acquisition", "Marketing KPIs", "Growth KPIs" ], "toolProficiency" : [ "Excel", "Google Sheets", "SQL", "Looker", "Tableau" ], "communicationSkills" : "Presenting insights; Verbal communication; Written communication", "documentationSkills" : "Data processes documentation; Reporting workflows documentation", "continuousLearning" : "Desire to learn; Desire to grow", "problemSolvingSkills" : "Problem-solving skills; Analytical skills", "qualificationsBasic" : "1-3 years of experience in a data analytics, growth analytics, or digital marketing analytics role, Advanced proficiency in Excel or Google Sheets, Experience with SQL, Solid understanding of growth and marketing KPIs", "qualificationsPreferred" : "Experience with Python, Experience with BI tools, Experience with experimentation frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking a motivated and analytically driven Data Analyst to join our Growth team, supporting User Acquisition (UA) efforts for our portfolio of mobile card games. In this role, you will work closely with UA, Creative, Product, and Finance partners to analyze performance, surface insights, and help optimize paid acquisition strategies across multiple channels. This is an ideal opportunity for a data-focused analyst who enjoys working with marketing and growth data and is excited to influence decision-making through clear, actionable insights. Responsibilities: Support user acquisition analytics across 2–4 mobile game titles, partnering with UA managers to track, analyze, and optimize campaign performance across channels such as Google Ads, Apple Search Ads, and additional ad networks Monitor and analyze key performance metrics including ROAS, CPI, retention, LTV, and install volume, identifying trends, risks, and opportunities Build and maintain dashboards, reports, and recurring analyses to support UA decision-making and performance reviews Partner with UA and Creative teams to evaluate and support A/B tests across creative concepts, targeting strategies, and bidding approaches Translate complex datasets into clear insights and recommendations, presenting findings to both technical and non-technical stakeholders Collaborate cross-functionally with Product, Finance, and Data teams to align UA performance with broader company goals and forecasts Support creative analysis by evaluating ad performance, app store conversion, and funnel metrics Contribute to competitive analysis and industry trend research to inform growth strategy Assist in improving data processes, documentation, and reporting workflows to support scale and efficiency Qualifications for Position: 1–3 years of experience in a data analytics, growth analytics, or digital marketing analytics role, preferably supporting user acquisition or growth initiatives Strong analytical and problem-solving skills, with the ability to turn raw data into meaningful insights Advanced proficiency in Excel or Google Sheets Experience with SQL required; experience with Python, BI tools (Looker, Tableau, etc.), or experimentation frameworks is a plus Solid understanding of growth and marketing KPIs such as CPI, ROAS, retention, LTV, and conversion rates Excellent written and verbal communication skills, with experience presenting insights to cross-functional audiences Highly organized, detail-oriented, and comfortable managing multiple priorities in a fast-paced environment Interest in mobile gaming and curiosity about player behavior, monetization models, and live operations Self-starter mindset with a strong desire to learn, grow, and take ownership A Little Bit About Us: MobilityWare is one of the leading mobile game publishers of card and puzzle games. With our headquarters in the heart of Orange County and a growing studio in Utah, we’re dedicated to our mission of bringing joy to others one game at a time. Ever since our flagship title Solitaire hit the Apple App Store on the day it opened in 2008, MobilityWare has been entertaining gamers around the world. With a product portfolio that includes beloved hits such as FreeCell, MONOPOLY Solitaire, Spades, Hearts, Mahjong, and Bubble Shooter Pop, our games have been downloaded over 600 MILLION times. MobilityWare was recently named one of Built in LA’s Best Places to Work for the fifth year in a row and we’ve been recognized as one of the Best Places to Work in Orange County five times by the Orange County Business Journal and OC Register. While we’re proud to be the company behind some of mobile gaming’s most popular titles, our most important achievement is creating a work environment that encourages professional growth and prioritizes the wellness of all of our team members. Do we have your attention yet? Here are just some of the perks of working with us: We offer medical (100% paid option), dental (100% paid), vision (100% paid), unlimited PTO/Vacation, life insurance (100% paid), and a 401K with competitive contribution. Annual, all-inclusive company trip for you and a guest. Previous destinations include Hawaii, a Mexican Riviera Cruise, Las Vegas and Los Cabos! In the office we offer things like free lunch, free snacks, and free drinks. Casual workplace that includes a relaxed dress code, plus a newly remodeled office in the heart of Irvine. Growth, growth, growth - we are growing, and we would love for you to join us on the ride. Annual Game Jam to show off your creative chops! In compliance with local law, we are disclosing compensation for this role. The range listed is just one component of MobilityWare’ s total compensation package for employees, which may include short- and long-term incentives and program-specific awards. The disclosed range estimate has not been adjusted for the applicable geographic differential associated with the location at which the position may be filled. Starting pay for the successful applicant will depend on a variety of job-related factors, which may include education, training, experience, certifications, location, business needs, or market demands. This range is based on a full-time position. This range may be modified in the future. The annual base salary pay range for this role is $90,000- $115,000.", "summaryDescription" : "Data Analyst, User Acquisition at MobilityWare. Skills: User Acquisition, Data Analysis, Performance Optimization. Support user acquisition analytics. 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Work with engineering; Work with leadership", "domainKnowledge" : "Alternative data ecosystem; Third-party data acquisition; Data licensing agreements; Privacy considerations; Compliance considerations; Usage-rights considerations", "domainList" : [ "alternative-data-ecosystem", "third-party-data-acquisition", "data-licensing-agreements", "privacy-considerations", "compliance-considerations", "usage-rights-considerations" ], "domainSpecificKnowledge" : [ "Alternative data ecosystem", "Third-party data acquisition", "Data licensing agreements", "Privacy considerations", "Compliance considerations", "Usage-rights considerations" ], "qualificationsBasic" : "3+ years of experience in data acquisitions, 3+ years of experience in alternative data research, 3+ years of experience in partnerships, 3+ years of experience in business development, 3+ years of experience focused on external datasets", "qualificationsPreferred" : "Experience working with alternative data from an investing perspective, Experience working with alternative data from a research perspective, Experience working with alternative data from a marketplace perspective, Experience working with alternative data from a vendor perspective, Negotiated data licensing agreements, Negotiated commercial arrangements for third-party datasets, Evaluated data for representativeness, Evaluated data for methodology risk, Evaluated data for overlap with existing sources, Evaluated data for likely value-add, Worked closely with research teams, Worked closely with engineering teams, Familiarity with privacy considerations, Familiarity with compliance considerations, Familiarity with usage-rights considerations", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT AARU Aaru operates at the frontier of predictive intelligence, using AI to simulate and predict human behavior at scale. By generating and deploying instances of artificial intelligence that mirror humans, called agents, Aaru simulates entire populations with unprecedented accuracy. Our partners work with us for many reasons: they leverage Aaru to refine strategy in volatile geopolitical climates, cut new product innovation timelines from months to minutes, and deploy marketing campaigns that win in an era where consumers have never been harder to understand. We provide organizations with invaluable foresight, empowering them to anticipate outcomes and proactively make the right decisions at the right time, every time. We're a small, dedicated, mission-driven team and we intend to stay that way. We believe the best work happens when exceptionally talented people are given ownership, trust and the space to operate without bureaucratic friction. We work with urgency and intellectual honesty and expect new team members to match our velocity. We seek individuals who thrive at the frontier, who push beyond conventional limits, who bring curiosity and conviction in equal measure, and who want their work to have demonstrable impact in the world. If you're energized by the idea of a small team doing things that feel impossible, let’s build together. ABOUT THE ROLE As a Data Acquisitions Specialist, you will help build Aaru’s external data advantage. You will identify and secure high-value third-party datasets that make our simulations more predictive and versatile. This role is focused on sourcing: mapping the frontier of the data landscape, cultivating vendor relationships, evaluating new opportunities, and driving datasets from initial outreach through diligence and deal execution. You will work closely with research, engineering, and leadership to shape the data assets that underpin Aaru’s long-term edge. RESPONSIBILITIES - Identify and source external datasets and proprietary sources that could materially improve Aaru’s simulations across a range of domains - Conduct outbound outreach to vendors and develop relationships with companies that may not already be actively selling data - Partner with internal teams to understand priority data needs and translate them into a targeted acquisition strategy - Coordinate sample reviews and help evaluate datasets for quality, coverage, uniqueness, usability, and likely incremental value - Compare competing providers within a category and recommend which opportunities are most differentiated and strategically attractive - Own vendor communications throughout the acquisition process, including introductory conversations, diligence, pricing discussions, and contract coordination - Conduct negotiations around licensing rights, exclusivity, trial structures, pricing, and other key commercial terms - Maintain clear records of vendor status, sample outcomes, pricing history, and reasons for pursuing or passing on opportunities YOU MAY BE A FIT IF - You have 3+ years of experience in data acquisitions, alternative data research, partnerships, business development, or a similar role focused on external datasets - You have a strong understanding of the alternative data ecosystem and good judgment around what makes a dataset valuable, differentiated, and difficult to replicate - You are confident conducting external outreach and building relationships with senior counterparts at data vendors and related businesses - You have strong commercial instincts and can weigh data quality, strategic importance, and price in making acquisition recommendations - You are highly organized and able to manage multiple vendor conversations, evaluations, and negotiations at once without sacrificing rigor STRONG CANDIDATES MAY ALSO - Have experience working with alternative data from an investing, research, marketplace, or vendor perspective - Have negotiated data licensing agreements or other commercial arrangements for third-party datasets - Have evaluated data for issues such as representativeness, methodology risk, overlap with existing sources, and likely value-add - Have worked closely with research or engineering teams to determine whether a dataset is worth testing, integrating, or purchasing - Have familiarity with privacy, compliance, and usage-rights considerations relevant to third-party data acquisition - Have a quantitative background and are comfortable performing exploratory data analysis LOCATION This role is based in New York City. Aaru is an in-person company, working 5 days a week in office. Candidates are expected to be located within the New York City metropolitan area or open to relocation.. BENEFITS At Aaru, we take care of our people. In addition to a competitive base salary and equity participation, we offer comprehensive medical, vision, and dental coverage, visa sponsorship and relocation support, and various other benefits and perks.", "summaryDescription" : "Data Acquisition Specialist at Aaru. Skills: Data acquisition, Vendor relationships, Deal execution. Identify and source external datasets. 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Our ad solutions—including streaming tv, display, video, audio and custom ads—leverage Amazon’s innovations and insights to find, attract, and engage intended audiences throughout their daily journeys. With a range of flexible pricing and buying models, including self-service, managed service, and programmatic ad buying, these solutions help businesses build brand awareness, increase product sales, and more. As a Sr. Sales Manager on our US Large Customer Sales Non Endemic team, you will use your 12+ years’ experience selling digital advertising solutions to the Fortune 500 C-Level and their ad agencies to successfully grow and scale the team's category’s domestic revenues. With your broad and long-standing client-side and agency relationships within the digital advertising world, consultative approach and deep understanding of the digital advertising landscape, you will manage a team and act as a strategic partner to your assigned clients and sell a broad range of advertising solutions that will ensure that their business goals are met. This role will require in-office presence and travel as needed. Basic Qualifications: - 12+ years of B2B sales experience - Experience managing teams who deliver on defined goals and timelines - Experience managing teams Preferred Qualifications: - Experience consistently closing sales and generating revenues - Experience that includes strong analytical skills, attention to detail, and effective communication abilities Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. The base salary range for this position is listed below. Your Amazon package will include sign-on payments and restricted stock units (RSUs). Final compensation will be determined based on factors including experience, qualifications, and location. Amazon also offers comprehensive benefits including health insurance (medical, dental, vision, prescription, Basic Life & AD&D insurance and option for Supplemental life plans, EAP, Mental Health Support, Medical Advice Line, Flexible Spending Accounts, Adoption and Surrogacy Reimbursement coverage), 401(k) matching, paid time off, and parental leave. Learn more about our benefits at https://amazon.jobs/en/benefits . USA, NY, New York - 194,700.00 - 263,300.00 USD annually", "summaryDescription" : "Sr. Sales Manager, US LCS Non Endemic at Amazon Advertising LLC. Drive revenue growth. Manage client relationships", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T21:57:35.191", "lastUpdated" : "2026-06-16T06:06:02.301", "ingestTimestamp" : "2026-06-15T21:57:35.191", "mongoId" : "6a305649f292fd229cf26dcb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449173/apply", "salaryAnnualMin" : 194700, "salaryAnnualMax" : 263300, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Advertising technology", "E-commerce", "Retail media" ], "skillCount" : 3, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0ac3171663d49372e0c788", "title" : "IT Analyst IV", "company" : "DataMap", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for IT Analyst IV in Overland Park, adjusted for senior seniority and technology industry." }, "location" : "Overland Park, KS", "locations" : [ "Overland Park", "KS" ], "timestamp" : "2026-06-15T09:32:08.633", "fingerprint" : "5151166a7332e888af293b4a9b67a677dfd8e1fc8f163fc0f4bb9d51b4483b17", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamap.breezy.hr/p/36d2f6837e5f-it-analyst-iv", "externalId" : "36d2f6837e5f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Overland Park", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9742502,-94.6851702" } ], "locationText" : "Overland Park, Kansas, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : false, "summaryDescription" : "IT Analyst IV at DataMap", "createdAt" : "2026-06-14T06:39:20.127", "lastUpdated" : "2026-06-15T09:32:08.633", "ingestTimestamp" : "2026-06-14T06:39:20.127", "mongoId" : "6a0ac3171663d49372e0c788", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.5555556, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.85 }, { "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. Build reports and dashboards", "postedDate" : "2026-06-16T03:44:55.490", "createdAt" : "2026-06-16T03:44:55.447", "lastUpdated" : "2026-06-16T15:40:47.838", "ingestTimestamp" : "2026-06-16T03:44:55.447", "mongoId" : "6a3055c5f292fd229cf216a6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://rogersbh.wd1.myworkdayjobs.com/RBHCareer/job/Executive-Drive-Oconomowoc-WI/Data-Analyst_R7331", "salaryAnnualMin" : 58000, "salaryAnnualMax" : 78000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "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", "Reporting", "SQL", "Power BI", "R", "Microsoft Office", "Python" ], "skillCount" : 18, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "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. Increase user acquisition", "postedDate" : "2026-06-15T23:24:38.409", "createdAt" : "2026-06-15T23:24:38.409", "lastUpdated" : "2026-06-16T09:04:04.324", "ingestTimestamp" : "2026-06-15T23:24:38.409", "mongoId" : "6a305a87f292fd229cf52328", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Quantitative analysis", "Statistical analysis", "Financial analysis", "Complex queries", "A/B testing", "Performance marketing analysis", "Forecasting", "Mobile gaming", "Tableau", "Looker" ], "skillCount" : 10, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Gaming", "llmIndustryConfidence" : 0.98 }, { "id" : "6a0ac3171663d49372e0c78e", "title" : "Quality Assurance Analyst IV", "company" : "DataMap", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : 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"location" : "Madrid, Madrid, Spain", "locations" : [ "Madrid", "Madrid", "Spain" ], "timestamp" : "2026-06-16T01:27:46.648", "fingerprint" : "d1ca2fdeabb3a72f0746f8aae3b8b866aeccdba574590e50920c23b77abcfd42", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/getnet/jobs/4860764101", "externalId" : "4860764101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Madrid", "state" : "Madrid", "country" : "Spain", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "40.4237276,-3.6899043" } ], "locationText" : "Madrid, Madrid, Spain", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceMaxYears" : 15, "experienceLevel" : "Lead", "technicalSkills" : "SQL, Databricks, Power BI", "professionalSkills" : [ "Data Governance", "Data Architecture", "Master Data Management", "Data Security", "Access Control" ], "hardSkillsList" : [ "Data quality", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Regulatory compliance" ], "softSkillsList" : [ "Strategic thinking", "Analytical mindset", "Problem-solving" ], "hardSkills" : [ { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Metadata management", "level" : "intermediate" }, { "name" : "Data lineage", "level" : "intermediate" }, { "name" : "Lakehouse architecture", "level" : "intermediate" }, { "name" : "Domain-driven design", "level" : "intermediate" }, { "name" : "Regulatory compliance", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Strategic thinking" }, { "name" : "Analytical mindset" }, { "name" : "Problem-solving" } ], "majorSkills" : "Data Governance, Data Platform Architecture, Lakehouse", "majorSkillsList" : [ "Data Governance", "Data Platform Architecture", "Lakehouse" ], "coreResponsibilities" : "Evolve global governance operating model, Embed data standards into Lakehouse architecture, Coordinate governance practices across countries, Act as bridge between Business Domains, Data Engineering,, Ensure governance principles are applied, Ensure regulatory requirements are applied, Ensure data quality standards are applied", "teamCollaboration" : "Business Domains; Data Engineering; Architecture; Global organization", "domainKnowledge" : "Data Governance frameworks; Data quality dimensions; Metadata management; Data lineage; Lakehouse architecture; Domain-driven design; Master Data Management; Data security; Access control models; Regulatory requirements", "domainList" : [ "data-governance-frameworks", "data-quality-dimensions", "metadata-management", "data-lineage", "lakehouse-architecture", "domain-driven-design", "master-data-management", "data-security", "access-control-models", "regulatory-requirements" ], "domainSpecificKnowledge" : [ "Data Governance frameworks", "Data quality dimensions", "Metadata management", "Data lineage", "Lakehouse architecture", "Domain-driven design", "Master Data Management", "Data security", "Access control models", "Regulatory requirements" ], "toolProficiency" : [ "Databricks", "Power BI" ], "communicationSkills" : "Stakeholder management", "documentationSkills" : "Documentation-oriented working style", "continuousLearning" : "Self-development programmes", "problemSolvingSkills" : "Problem-solving capability", "specialRequirements" : "60% on site", "qualificationsBasic" : "Bachelor's degree in Engineering, Computer Science, Mathematics, or related field, Working knowledge of SQL, Fluency in English", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "✨ Your talent drives our future Getnet is a global technology company specializing in payment solutions for commerce. Founded in Brazil and operating across Latin America and the Iberian Peninsula, we support over 1.3 million merchants with end-to-end services — from POS terminals to e-commerce platforms. We are part of PagoNxt, the global fintech of the Santander Group, and operate as an acquiring hub with a strong presence in Spain, Portugal, Brazil, Mexico, Chile, Argentina, and Uruguay. Our mission is clear: to simplify payments with innovation, security, and scale, helping businesses of all sizes grow with agility. We offer a unified platform that integrates hardware, software, fraud prevention, acquiring, reconciliation, and financial services — all in a single ecosystem, so our clients can focus on growing their business. Being part of Getnet means joining a company that combines the innovation of a fintech with the solidity of a global bank. Imagine your future. Care for your career. Simplify your journey. This means you'll have the chance to build impactful solutions, grow with real development opportunities, and thrive in a culture that values well-being, inclusion, and clarity. We combine flexibility, autonomy, and global collaboration — so you can focus on what matters, connect with purpose, and help shape the future. Here, you'll find space to grow, real opportunities to lead, and a culture where everyone belongs and contributes. ✨ If you want to be part of the next generation of financial solutions, this is the place. We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. \uD83D\uDCCC What you'll do We are looking for a Data Governance & Data Platform Architect to join Getnet’s Global Data team in Madrid. This role combines strong functional expertise in Data Governance with a solid technical foundation in modern data platforms. The position will be responsible for evolving the global governance operating model, ensuring data standards are embedded by design into the enterprise Lakehouse architecture, and coordinating governance practices across multiple countries. You will act as a key bridge between Business Domains, Data Engineering, and Architecture, ensuring that governance principles, regulatory requirements, and data quality standards are consistently applied across the global ecosystem. This is not a pure engineering role, but a governance leadership position with architectural oversight and technical depth. Education Bachelor’s degree in Engineering, Computer Science, Mathematics, or related field. \uD83D\uDCCCTechnical & Functional Knowledge Solid understanding of: Data Governance frameworks Data quality dimensions and monitoring approaches Metadata management and data lineage Data architecture principles (Lakehouse, domain-driven design) Master Data Management (MDM) concepts Data security and access control models Working knowledge of SQL and data environments in Databricks (to engage effectively with technical teams). Understanding of regulatory and compliance requirements related to data management. Familiarity with Power BI or similar tools for governance reporting. \uD83D\uDCCC Key Competencies Strong strategic thinking combined with technical depth. Ability to translate governance principles into architectural requirements. Excellent stakeholder management and communication skills. Ability to influence in a matrix and global organization. Analytical mindset with strong problem-solving capability. Structured and documentation-oriented working style. Fluency in English (mandatory). \uD83C\uDFAF What we offer \uD83E\uDE7A Medical insurance \uD83E\uDDB7 Dental insurance \uD83D\uDCAA Wellhub \uD83D\uDE91 Life insurance \uD83D\uDC89 Annual healthcare \uD83D\uDE8C Transportation allowance \uD83C\uDF55 Meal voucher/food voucher \uD83D\uDCB0 Profit sharing program \uD83D\uDCDA Access to self-development programmes \uD83C\uDFE2 Hybrid Collaborative environment: Successful candidate must be prepared to work 60% on site \uD83D\uDCEC Next step Apply and if you know someone who might be looking for this opportunity, share it.", "summaryDescription" : "Data Governance & Data Platform Architect (Functional Lead) at Getnet. Skills: Data Governance, Data Platform Architecture, Lakehouse. Evolve global governance operating model. 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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. Build and deploy machine learning models", "postedDate" : "2026-06-15T12:13:09.000", "createdAt" : "2026-06-16T00:24:08.601", "lastUpdated" : "2026-06-16T12:30:15.270", "ingestTimestamp" : "2026-06-16T00:24:08.601", "mongoId" : "6a305dbff292fd229cf69ec9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modelling", "Statistical analysis", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "Delta Lake" ], "skillCount" : 24, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3068adf292fd229cfc508a", "title" : "Data Analyst", "company" : "NielsenIQ", "industry" : "Market Research", "salary" : { "min" : 35000.0, "max" : 55000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analyst in Sofia, Bulgaria, adjusted for the market research industry and company size." }, "location" : "Sofia, 23, BG", "locations" : [ "Sofia", "23", "BG" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:55:10.156", "fingerprint" : "41b71cbc8ff018a5268f382c567db16eefd9dbd43360ef3143bbc5f0dbd346a7", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/NielsenIQ/744000132186729-data-analyst", "externalId" : "744000132186729", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "42.6977028,23.3217359" } ], "locationText" : "Sofia, Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, 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" : [ "Quantitative analysis", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "hardSkillsList" : [ "Statistical methods", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Design and deploy machine learning models, Create and manage BI dashboards, Perform statistical analysis, Conduct A/B testing, Collaborate with stakeholders, Ensure data quality and integrity", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical modelling", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-modelling" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "qualificationsBasic" : "2+ years of experience, 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", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "As a Data Analyst working as part of a cross-functional development team, you will play a pivotal role in delivering accurate, actionable data insights from a network of over 300,000 devices across the globe. 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 implement data models. Build and maintain data pipelines", "postedDate" : "2026-06-15T12:13:09.000", "createdAt" : "2026-06-15T23:51:53.542", "lastUpdated" : "2026-06-16T10:55:10.156", "ingestTimestamp" : "2026-06-15T23:51:53.542", "mongoId" : "6a3068adf292fd229cfc508a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Modelling skills", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Analytics engineering", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical modelling", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Market Research", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305b70f292fd229cf5dc41", "title" : "Data Analyst", "company" : "Cision", "salary" : { "min" : 1200000.0, "max" : 2000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Bangalore, India, adjusted for the media industry and company size." }, "location" : "Bangalore, India", "locations" : [ "Bangalore", "India", "Chennai", "Tamil Nadu", "India", "Hyderabad", "India", "Mumbai", "Maharashtra", "India" ], "timestamp" : "2026-06-16T07:11:36.606", "fingerprint" : "b5ee6aab5b672e5efea07f9b1d698190275d99dca8abb2866d0ef40bc4dd978e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.eu.greenhouse.io/cision/jobs/4872992101", "externalId" : "4872992101", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Bangalore", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Bangalore, India", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "rawDescription" : "At Cision, we believe in empowering every individual to make an impact. Here, your voice is heard, your ideas are valued, and your unique perspective fuels our collective success. As part of our global team, you'll thrive in an environment that champions curiosity, collaboration, and innovation, all while making meaningful contributions to the brands we accelerate. Join us in shaping the future of communication and building authentic connections that matter. Whether you're solving complex problems or driving bold innovations, your growth is our success, and together, we’ll create the conversations of tomorrow. Empower your impact at Cision. Be seen, be understood, be you. Job Summary: As a Data Analyst, you will be responsible for generating and managing data that drives Cision reports as you will be establishing a solid foundation of accurate and timely data. As a Data nalyst, you will play a critical role in ensuring the success of all deliverables and supporting the coding and report creation process through all phases. Essential Duties and Responsibilities Ensures coding analysis production is consistent, high quality, and aligned with strict delivery timelines by tracking performance and enforcing standards. Provide oversight of junior coding teams, providing guidance on best practices and delivering constructive feedback to address performance gaps, fostering continuous improvement and skill development. Manages content searches and uploading processes, prioritize coding tasks and performs regular data checks while understanding project coding structures. Utilizes knowledge of data flow and our tools to troubleshoot issues and resolve them. Reports regularly to the manager, establish open communications to prioritize tasks and manage workflow. Utilizes established reporting templates and tools to contribute to assigned reports, generate charts, research and write robust qualitative insights. Take ownership of initial data exports and assist in charting and report production as needed. Provides daily support to Senior Analysts and Team Leads. This includes tasks such as contact management, data verification, and report production. Minimum Required Qualifications Bachelor’s degree or 3-5 years of previous experience in coding, query writing and analysis, with a strong background in professional writing and reporting. Proficient in utilizing Excel and PowerPoint for data analysis and presentation purposes. Fluent in English and German. Cision is the global leader in consumer and media intelligence, engagement, and communication solutions. We equip PR and corporate communications, marketing, and social media professionals with the tools they need to excel in today's data driven world. Our deep expertise, exclusive data partnerships, and award-winning products, including CisionOne, Brandwatch, and PR Newswire, enable over 75,000 companies and organizations, including 84% of the Fortune 500, to see and be seen, understand and be understood by the audiences that matter most to them. Cision is committed to fostering an inclusive environment where all employees can be their authentic selves and perform at their best. We believe diversity, equity, and inclusion is vital to driving our culture, sparking innovation and achieving long-term success. Cision is proud to have joined more than 600 companies in signing the CEO Action for Diversity & Inclusion™ pledge and named a “Top Diversity Employer” for 2021 by DiversityJobs.com. Cision is proud to be an equal opportunity employer, seeking to create a welcoming and diverse environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, gender identity or expression, sexual orientation, national origin, genetics, disability, age, veteran status, or other protected statuses. Cision is committed to the full inclusion of all qualified individuals. In keeping with our commitment, Cision will take the steps to assure that people with disabilities are provided reasonable accommodations. Accordingly, if reasonable accommodation is required to fully participate in the job application or interview process, to perform the essential functions of the position, and/or to receive all other benefits and privileges of employment, please contact hr.support@cision.com Cision, Inc. \"the Company\" only communicates with candidates and extends job offers through direct channels, not third parties. Please review our Global Candidate Data Privacy Statement to learn about Cision’s commitment to protecting personal data collected during the hiring process.", "summaryDescription" : "Data Analyst at Cision", "postedDate" : "2026-06-15T23:25:05.991", "createdAt" : "2026-06-15T23:25:05.991", "lastUpdated" : "2026-06-16T07:11:36.606", "ingestTimestamp" : "2026-06-15T23:25:05.991", "mongoId" : "6a305b70f292fd229cf5dc41", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306853f292fd229cfc3573", "title" : "Data Analyst", "company" : "Inetum", "industry" : "Information Technology And Services", "salary" : { "min" : 32000.0, "max" : 45000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data Analyst in Lisbon, Portugal, adjusted for the technology industry." }, "location" : "Lisbon, Lisbon, PT", "locations" : [ "Lisbon", "Lisbon", "PT" ], "timestamp" : "2026-06-16T13:10:07.368", "fingerprint" : "a12aad249206f481b0a306f259e13be6116f7c3795ae7b527bc03895a8cd8007", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/Inetum2/744000132158859-data-analyst", "externalId" : "744000132158859", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Lisbon", "state" : "Lisbon", "country" : "Portugal", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "38.7077507,-9.1365919" } ], "locationText" : "Lisbon, Lisbon, Portugal", "employmentType" : "FULL_TIME", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "technicalSkills" : "Python, Pandas, PySpark, Presto, Airflow, Power Query, DAX", "professionalSkills" : [ "Data-driven solutions", "Data analysis", "Statistical methods", "Data models", "Automated tools", "ETL pipelines", "Data warehousing" ], "hardSkillsList" : [ "Descriptive statistics", "Hypothesis testing" ], "hardSkills" : [ { "name" : "Descriptive statistics", "level" : "intermediate" }, { "name" : "Hypothesis testing", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Data visualization, ETL, Data warehousing", "majorSkillsList" : [ "Data analysis", "Data visualization", "ETL", "Data warehousing" ], "coreResponsibilities" : "Identify business problems, Propose data-driven solutions, Retrieve complex datasets, Clean complex datasets, Prepare complex datasets, Analyze complex datasets, Design analyses, Implement analyses, Develop reports, Develop dashboards, Develop visualizations, Build automated tools, Build automated solutions, Deliver recurring insights, Contribute to data feed industrialization, Contribute to ETL pipelines, Contribute to data warehousing processes, Translate business requirements, Communicate analytical results", "teamCollaboration" : "Collaborate with traders; Collaborate with sales teams; Collaborate with business sponsors; Collaborate with technical teams", "toolProficiency" : [ "Tableau", "Power BI" ], "communicationSkills" : "Communicate analytical results", "problemSolvingSkills" : "Analyze complex information; Synthesize complex information; Simplify complex information", "outcomesObjectives" : "Support decision-making; Support growth", "qualificationsBasic" : "Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field, Professional experience with data visualization tools such as Tableau and/or Power BI, Professional experience in data analysis using programming languages, preferably Python (Pandas), Ability to analyze, synthesize, and simplify complex information, Fluent in English", "qualificationsPreferred" : "Knowledge of descriptive statistics and hypothesis testing is a plus, Familiarity with Big Data technologies such as PySpark, Presto, and Airflow is a plus, Knowledge of Power Query and DAX is a plus", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Inetum is a global leader in IT services, dedicated to delivering innovative solutions to our clients. We are committed to fostering a dynamic and inclusive work environment that values diversity, where creativity and collaboration can thrive. We are present in 19 countries and have more than 28,000 employees worldwide. If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the place for you! Come be part of Inetum! * Identify business problems and propose data-driven solutions to support decision-making and growth * Retrieve, clean, prepare, and analyze complex datasets from multiple sources * Design and implement analyses using statistical methods and data models * Develop reports, dashboards, and visualizations following best practices (Tableau, Power BI) * Build automated tools and solutions to deliver recurring insights efficiently * Contribute to data feed industrialization, ETL pipelines, and data warehousing processes * Translate business requirements into technical specifications for the development team * Communicate complex analytical results clearly to both technical and non-technical stakeholders * Collaborate closely with traders, sales teams, business sponsors, and technical teams ## Qualifications * Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field * Professional experience with data visualization tools such as Tableau and/or Power BI * Professional experience in data analysis using programming languages, preferably Python (Pandas) * Strong ability to analyze, synthesize, and simplify complex information * Knowledge of descriptive statistics and hypothesis testing is a plus * Familiarity with Big Data technologies such as PySpark, Presto, and Airflow is a plus * Knowledge of Power Query and DAX is a plus * Fluent in English", "summaryDescription" : "Data Analyst at Inetum. 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We are committed to fostering a dynamic and inclusive work environment that values diversity, where creativity and collaboration can thrive. We are present in 19 countries and have more than 28,000 employees worldwide. If you are looking for a dynamic, innovative, and technology-driven company, Inetum is the place for you! Come be part of Inetum! * Identify business problems and propose data-driven solutions to support decision-making and growth * Retrieve, clean, prepare, and analyze complex datasets from multiple sources * Design and implement analyses using statistical methods and data models * Develop reports, dashboards, and visualizations following best practices (Tableau, Power BI) * Build automated tools and solutions to deliver recurring insights efficiently * Contribute to data feed industrialization, ETL pipelines, and data warehousing processes * Translate business requirements into technical specifications for the development team * Communicate complex analytical results clearly to both technical and non-technical stakeholders * Collaborate closely with traders, sales teams, business sponsors, and technical teams ## Qualifications * Academic background in Engineering, Economics, Computer Science, Mathematics, Statistics, or a related field * Professional experience with data visualization tools such as Tableau and/or Power BI * Professional experience in data analysis using programming languages, preferably Python (Pandas) * Strong ability to analyze, synthesize, and simplify complex information * Knowledge of descriptive statistics and hypothesis testing is a plus * Familiarity with Big Data technologies such as PySpark, Presto, and Airflow is a plus * Knowledge of Power Query and DAX is a plus * Fluent in English", "summaryDescription" : "Data Analyst at Inetum. Skills: Data analysis, Data visualization, Business intelligence. Identify business problems. Propose data-driven solutions", "postedDate" : "2026-06-15T09:49:28.000", "createdAt" : "2026-06-15T23:56:50.424", "lastUpdated" : "2026-06-16T10:16:20.591", "ingestTimestamp" : "2026-06-15T23:56:50.424", "mongoId" : "6a3064adf292fd229cfa2639", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Descriptive statistics", "Hypothesis testing", "Data analysis", "Data visualization", "Business intelligence", "Data-driven solutions", "Statistical methods", "Data models", "ETL pipelines", "Data warehousing", "Tableau", "Power BI" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3078d3f292fd229c02d06f", "title" : "Data Analyst", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Birmingham, United Kingdom, adjusted for the manufacturing industry and Smiths Group's company size." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "timestamp" : "2026-06-16T11:54:05.894", "fingerprint" : "4f91f7e70bbe746aa961dd2a3547190e3780350b565c508349fd9a48fc376113", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132148445-data-analyst", "externalId" : "744000132148445", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.4948994,-1.8518439" } ], "locationText" : "Birmingham, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Power BI, DAX, Power Query, SQL, SAP, Excel, Python", "professionalSkills" : [ "Data modelling", "ETL processes", "Query tuning", "Dataset management", "Version control" ], "hardSkillsList" : [ "Dimensional modelling", "Star schema", "Data validation", "Data cleansing", "Data reconciliation", "Data quality checks" ], "hardSkills" : [ { "name" : "Dimensional modelling", "level" : "intermediate" }, { "name" : "Star schema", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" } ], "majorSkills" : "Power BI dashboards, Data modelling, ETL processes, SQL", "majorSkillsList" : [ "Power BI dashboards", "Data modelling", "ETL processes", "SQL" ], "coreResponsibilities" : "Design Power BI dashboards, Build Power BI dashboards, Deploy Power BI dashboards, Design Power BI reports, Build Power BI reports, Deploy Power BI reports, Develop data models, Create DAX measures, Optimise DAX measures, Deliver ETL processes, Gather business requirements, Translate business requirements, Ensure data accuracy, Ensure data consistency, Ensure data governance, Optimise report performance, Tune queries, Manage datasets, Work with large datasets, Support deployment pipelines, Support version control practices, Troubleshoot data issues, Troubleshoot reporting issues, Implement data validation, Implement data cleansing, Implement data reconciliation, Maintain Power BI assets, Enhance Power BI assets, Establish data quality checks, Establish monitoring mechanisms, Use advanced Excel", "domainKnowledge" : "SAP data; SAP ECC; SAP BW extracts; Energy sector; Manufacturing sector; Supply Chain sectors; SAP functional areas; Finance; Procurement; Supply Chain", "domainList" : [ "sap-data", "sap-ecc", "sap-bw-extracts", "energy-sector", "manufacturing-sector", "supply-chain-sectors", "sap-functional-areas", "finance", "procurement", "supply-chain" ], "domainSpecificKnowledge" : [ "SAP data", "SAP ECC", "SAP BW extracts", "Energy sector", "Manufacturing sector", "Supply Chain sectors", "SAP functional areas", "Finance", "Procurement", "Supply Chain" ], "toolProficiency" : [ "Power BI", "SAP", "Excel", "Power Query" ], "communicationSkills" : "Communicate insights", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Significant experience in Data Analytics or BI development, Power BI (Desktop & Service) expertise, Proficiency in DAX and Power Query (M), SQL skills, Experience with relational databases, Solid understanding of data modelling, Hands-on experience with SAP data, Knowledge of ETL processes, Knowledge of data pipelines, Analytical skills, Problem-solving skills, Ability to communicate insights clearly to non-technical audiences", "qualificationsPreferred" : "Experience in large enterprise data environments, Understanding of data governance, Understanding of data lineage, Understanding of metadata management, Familiarity with version control tools, Awareness of AI/ML use cases in analytics, Stakeholder management skills, Experience in Energy sectors, Experience in Manufacturing sectors, Experience in Supply Chain sectors, Understanding of SAP functional areas", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths. Visit us at - [www.smiths.com](https://www.smiths.com/) Key Responsibilities * Design, build and deploy interactive Power BI dashboards and reports. * Develop robust data models using star schema and dimensional modelling principles. * Create and optimise DAX measures for performance and scalability. * Deliver ETL processes across SAP, databases and other data sources. * Gather and translate business requirements into analytical solutions. * Ensure data accuracy, consistency and governance across reporting layers. * Optimise report performance, including query tuning and dataset management. * Work with large datasets using SQL and, ideally, Python. * Support deployment pipelines and version control practices. * Troubleshoot data and reporting issues to ensure timely resolution. * Implement data validation, cleansing and reconciliation processes. * Maintain and enhance existing Power BI assets in line with evolving business needs. * Establish data quality checks and monitoring mechanisms. * Use advanced Excel (Power Query, complex formulas, data modelling) to support reporting and automation. ## Qualifications Required Skills & Experience * Significant experience in Data Analytics or BI development. * Strong expertise in Power BI (Desktop & Service) and proficiency in DAX and Power Query (M). * Strong SQL skills and experience with relational databases. * Solid understanding of data modelling (Kimball / Star Schema). * Hands‑on experience with SAP data (ECC, BW extracts). * Knowledge of ETL processes and data pipelines. * Strong analytical and problem‑solving skills. * Ability to communicate insights clearly to non‑technical audiences. Preferred Skills * Experience working in large enterprise data environments. * Understanding of data governance, lineage and metadata management. * Familiarity with version control tools. * Awareness of AI/ML use cases in analytics. * Strong stakeholder management and communication skills. * Experience in Energy, Manufacturing or Supply Chain sectors. * Understanding of SAP functional areas (Finance, Procurement, Supply Chain). ## Additional Information Diversity & Inclusion: We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers)) We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers))", "summaryDescription" : "Data Analyst at Smiths Group. Skills: Power BI dashboards, Data modelling, ETL processes, SQL. Design Power BI dashboards. Build Power BI dashboards", "postedDate" : "2026-06-15T09:14:46.000", "createdAt" : "2026-06-16T01:39:28.953", "lastUpdated" : "2026-06-16T11:54:05.894", "ingestTimestamp" : "2026-06-16T01:39:28.953", "mongoId" : "6a3078d3f292fd229c02d06f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Dimensional modelling", "Star schema", "Data validation", "Data cleansing", "Data reconciliation", "Data quality checks", "Power BI dashboards", "Data modelling", "ETL processes", "SQL", "Query tuning", "Dataset management", "Version control", "SAP data", "SAP ECC", "SAP BW extracts", "Energy sector", "Manufacturing sector", "Supply Chain sectors", "SAP functional areas", "Finance", "Procurement", "Supply Chain", "Power BI", "SAP", "Excel", "Power Query" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058fbf292fd229cf4494f", "title" : "Data Analyst", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 65000.0, "max" : 95000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Birmingham, United Kingdom, adjusted for the manufacturing industry and Smiths Group's company size." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "timestamp" : "2026-06-16T10:25:39.760", "fingerprint" : "596bc0e45d0e74eaf32f5595b6d93419867e81afee1f67c8abf6b9a16275d656", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132148445-data-analyst", "externalId" : "744000132148445", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Birmingham", "state" : "England", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "52.4948994,-1.8518439" } ], "locationText" : "Birmingham, England, United Kingdom", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "Power BI, DAX, Power Query, SQL, SAP, Excel, Python", "professionalSkills" : [ "Data modelling", "ETL processes", "Query tuning", "Dataset management", "Version control" ], "hardSkillsList" : [ "Dimensional modelling", "Star schema", "Data validation", "Data cleansing", "Data reconciliation", "Data quality checks" ], "hardSkills" : [ { "name" : "Dimensional modelling", "level" : "intermediate" }, { "name" : "Star schema", "level" : "intermediate" }, { "name" : "Data validation", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Data reconciliation", "level" : "intermediate" }, { "name" : "Data quality checks", "level" : "intermediate" } ], "majorSkills" : "Power BI dashboards, Data modelling, ETL processes, SQL", "majorSkillsList" : [ "Power BI dashboards", "Data modelling", "ETL processes", "SQL" ], "coreResponsibilities" : "Design Power BI dashboards, Build Power BI dashboards, Deploy Power BI dashboards, Design Power BI reports, Build Power BI reports, Deploy Power BI reports, Develop data models, Create DAX measures, Optimise DAX measures, Deliver ETL processes, Gather business requirements, Translate business requirements, Ensure data accuracy, Ensure data consistency, Ensure data governance, Optimise report performance, Tune queries, Manage datasets, Work with large datasets, Support deployment pipelines, Support version control practices, Troubleshoot data issues, Troubleshoot reporting issues, Implement data validation, Implement data cleansing, Implement data reconciliation, Maintain Power BI assets, Enhance Power BI assets, Establish data quality checks, Establish monitoring mechanisms, Use advanced Excel", "domainKnowledge" : "SAP data; SAP ECC; SAP BW extracts; Energy sector; Manufacturing sector; Supply Chain sectors; SAP functional areas; Finance; Procurement; Supply Chain", "domainList" : [ "sap-data", "sap-ecc", "sap-bw-extracts", "energy-sector", "manufacturing-sector", "supply-chain-sectors", "sap-functional-areas", "finance", "procurement", "supply-chain" ], "domainSpecificKnowledge" : [ "SAP data", "SAP ECC", "SAP BW extracts", "Energy sector", "Manufacturing sector", "Supply Chain sectors", "SAP functional areas", "Finance", "Procurement", "Supply Chain" ], "toolProficiency" : [ "Power BI", "SAP", "Excel", "Power Query" ], "communicationSkills" : "Communicate insights", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "Significant experience in Data Analytics or BI development, Power BI (Desktop & Service) expertise, Proficiency in DAX and Power Query (M), SQL skills, Experience with relational databases, Solid understanding of data modelling, Hands-on experience with SAP data, Knowledge of ETL processes, Knowledge of data pipelines, Analytical skills, Problem-solving skills, Ability to communicate insights clearly to non-technical audiences", "qualificationsPreferred" : "Experience in large enterprise data environments, Understanding of data governance, Understanding of data lineage, Understanding of metadata management, Familiarity with version control tools, Awareness of AI/ML use cases in analytics, Stakeholder management skills, Experience in Energy sectors, Experience in Manufacturing sectors, Experience in Supply Chain sectors, Understanding of SAP functional areas", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Smiths Group designs, manufactures and delivers smarter engineering solutions for mission-critical applications, solving some of the world's toughest problems for our customers, our communities and our world. For over 170 years, Smiths Group has been pioneering progress by improving the world through smarter engineering. We serve millions of people every year, to help create a safer, more efficient and better-connected world, across four major global markets: Energy, General Industry, Security & Defence, and Aerospace. Listed on the London Stock Exchange, Smiths employs 14,600 colleagues in over 50+ countries. This pioneering spirit continues to drive us today, underpinned by our powerful culture. Improving our world is what we do, how we think, and how we will continue to use our passion for technology and engineering to tackle our customers biggest challenges today and in the future. We're looking for people with curious minds. Who want responsibility and relish a challenge. Whether you're an experienced professional or just starting out, our global scale and focus on growth means we have some great career opportunities for you. There's never been a better time to join Smiths. Visit us at - [www.smiths.com](https://www.smiths.com/) Key Responsibilities * Design, build and deploy interactive Power BI dashboards and reports. * Develop robust data models using star schema and dimensional modelling principles. * Create and optimise DAX measures for performance and scalability. * Deliver ETL processes across SAP, databases and other data sources. * Gather and translate business requirements into analytical solutions. * Ensure data accuracy, consistency and governance across reporting layers. * Optimise report performance, including query tuning and dataset management. * Work with large datasets using SQL and, ideally, Python. * Support deployment pipelines and version control practices. * Troubleshoot data and reporting issues to ensure timely resolution. * Implement data validation, cleansing and reconciliation processes. * Maintain and enhance existing Power BI assets in line with evolving business needs. * Establish data quality checks and monitoring mechanisms. * Use advanced Excel (Power Query, complex formulas, data modelling) to support reporting and automation. ## Qualifications Required Skills & Experience * Significant experience in Data Analytics or BI development. * Strong expertise in Power BI (Desktop & Service) and proficiency in DAX and Power Query (M). * Strong SQL skills and experience with relational databases. * Solid understanding of data modelling (Kimball / Star Schema). * Hands‑on experience with SAP data (ECC, BW extracts). * Knowledge of ETL processes and data pipelines. * Strong analytical and problem‑solving skills. * Ability to communicate insights clearly to non‑technical audiences. Preferred Skills * Experience working in large enterprise data environments. * Understanding of data governance, lineage and metadata management. * Familiarity with version control tools. * Awareness of AI/ML use cases in analytics. * Strong stakeholder management and communication skills. * Experience in Energy, Manufacturing or Supply Chain sectors. * Understanding of SAP functional areas (Finance, Procurement, Supply Chain). ## Additional Information Diversity & Inclusion: We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of race, color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Detection, Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers)) We believe that different perspectives and backgrounds are what make a company flourish. All qualified applicants will receive equal consideration for employment regardless of color, religion, sex, sexual orientation, gender identity, national origin, economic status, disability, age, or any other legally protected characteristics. We are proud to be an inclusive company with values grounded in equality and ethics, where we celebrate, support, and embrace diversity. At no time during the hiring process will Smiths Group, nor any of our recruitment partners ever request payment to enable participation – including, but not limited to, interviews or testing. Avoid fraudulent requests by applying jobs directly through our career’s website ([Careers - Smiths Group plc](https://www.smiths.com/careers))", "summaryDescription" : "Data Analyst at Smiths Group. Skills: Power BI dashboards, Data modelling, ETL processes, SQL. Design Power BI dashboards. Build Power BI dashboards", "postedDate" : "2026-06-15T09:14:46.000", "createdAt" : "2026-06-16T00:17:11.397", "lastUpdated" : "2026-06-16T10:25:39.760", "ingestTimestamp" : "2026-06-16T00:17:11.397", "mongoId" : "6a3058fbf292fd229cf4494f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Dimensional modelling", "Star schema", "Data validation", "Data cleansing", "Data reconciliation", "Data quality checks", "Power BI dashboards", "Data modelling", "ETL processes", "SQL", "Query tuning", "Dataset management", "Version control", "SAP data", "SAP ECC", "SAP BW extracts", "Energy sector", "Manufacturing sector", "Supply Chain sectors", "SAP functional areas", "Finance", "Procurement", "Supply Chain", "Power BI", "SAP", "Excel", "Power Query" ], "skillCount" : 27, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3078d1f292fd229c02cf2a", "title" : "Data Analyst", "company" : "ixigo", "industry" : "Internet", "salary" : { "min" : 450000.0, "max" : 750000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Junior Data Analyst in Gurugram, India, with adjustments for the technology industry and entry-level experience." }, "location" : "Gurugram/ Bengaluru, IN", "locations" : [ "Gurugram/ Bengaluru", "IN" ], "certifications" : [ "Certification in data analysis" ], "timestamp" : "2026-06-16T11:35:29.286", "fingerprint" : "deac1b6799e487c8c4c7df4074ab268a2e3dafdd678aa391336f907175ae73a6", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ixigo/744000132149149-data-analyst", "externalId" : "744000132149149", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Gurugram", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "28.4646148,77.0299194" }, { "city" : "Bengaluru", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "12.9767936,77.5900820" } ], "locationText" : "Gurugram, India; Bengaluru, India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 15, "experienceMaxYears" : 99, "experienceLevel" : "executive", "technicalSkills" : "SQL, DWB, ETL, Python, R, Tableau, Power BI, Looker, Google Analytics, Amplitude, Mixpanel, Clevertap, Cursor, N8n", "professionalSkills" : [ "Product analytics", "Business analytics", "Decision sciences", "Data extraction", "Data analysis", "Data visualization", "Stakeholder management", "Database development", "Data system development", "ETL processes" ], "hardSkillsList" : [ "Query scripting", "Statistical methods", "Machine learning concepts", "Regression", "Classification", "Clustering", "Anomaly detection", "A/B testing analysis" ], "softSkillsList" : [ "Analytical", "Problem-solving", "Business acumen" ], "hardSkills" : [ { "name" : "Query scripting", "level" : "intermediate" }, { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning concepts", "level" : "intermediate" }, { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Anomaly detection", "level" : "intermediate" }, { "name" : "A/B testing analysis", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Analytical" }, { "name" : "Problem-solving" }, { "name" : "Business acumen" } ], "majorSkills" : "Data analysis, SQL, Data visualization, Product analytics", "majorSkillsList" : [ "Data analysis", "SQL", "Data visualization", "Product analytics" ], "coreResponsibilities" : "Write complex queries, Extract data from data warehouse, Analyze data to identify trends, Analyze data for patterns, Analyze data for correlations, Create data visualizations, Create reports, Communicate insights to stakeholders, Collaborate with cross-functional teams, Inform product decisions, Develop databases, Maintain databases, Develop data systems, Maintain data systems, Develop ETL processes, Maintain ETL processes, Stay up-to-date with industry trends, Stay up-to-date with emerging technologies", "teamCollaboration" : "Cross-functional teams", "domainKnowledge" : "Product analytics; CRM tools; CDP tools; A/B testing design; Statistical methods; Machine learning concepts", "domainList" : [ "product-analytics", "crm-tools", "cdp-tools", "a-b-testing-design", "statistical-methods", "machine-learning-concepts" ], "domainSpecificKnowledge" : [ "Product analytics", "CRM tools", "CDP tools", "A/B testing design", "Statistical methods", "Machine learning concepts" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Google Analytics", "Amplitude", "Mixpanel", "Clevertap", "Cursor", "N8n" ], "communicationSkills" : "Presentation skills", "problemSolvingSkills" : "Analytical skills; Problem-solving skills", "specialRequirements" : "Safeguarding sensitive company data", "outcomesObjectives" : "Drive product growth; Drive customer satisfaction", "qualificationsBasic" : "1-3 years of experience, Expert proficiency in SQL, Bachelor's degree in Computer Science, Statistics, or related field, Minimum 1-2 years of hands-on experience in product analytics, business analytics, decision sciences, or a related role", "qualificationsPreferred" : "Familiar with user survey tools, Collecting user surveys, Experience with programming languages (Python, R), Certification in data analysis or related field, Master’s degree in Engineering, Statistics, Economics, Data Science, or a related quantitative field, Cloud platform certs", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Launched in 2007 by Aloke Bajpai & Rajnish Kumar, ixigo (Le Travenues Technology Limited) is a technology company focused on empowering Indian travellers to plan, book and manage their trips across rail, air, buses and hotels. ixigo assists travellers in making smarter travel decisions by leveraging artificial intelligence. The ixigo, ConfirmTkt and AbhiBus apps allow travellers to book train tickets, flight tickets, bus tickets, hotels, and cabs, and provide travel utility tools and services developed using in-house proprietary algorithms and crowd-sourced information. With over 54 crore Annual Active Users in Fiscal 2025, ixigo is the leading OTA for Next Billion Users in India. For more information, please visit http://www.ixigo.com We're seeking a detail-oriented and analytical Product Analyst/ Data Analyst to join our team. As a Product Analyst (Data Insights), you will use your expertise in query scripting languages (e.g., SQL, DWB, ETL) to extract insights from our data warehouse, analyze customer behaviour, and inform product decisions. Your goal will be to turn data into actionable recommendations that drive product growth and customer satisfaction.Responsibilities: * Write complex queries using various scripting languages (e.g., SQL, DWB, ETL) to extract data from our data warehouse * Analyze data to identify trends, patterns, and correlations * Create data visualizations and reports to communicate insights to stakeholders * Collaborate with cross-functional teams to inform product decisions * Develop and maintain databases, data systems, and ETL processes * Stay up-to-date with industry trends and emerging technologie Requirements: * 1-3 years of experience in a Product Analyst or similar role * Expertise in query scripting languages (e.g., SQL, DWB, ETL) * Experience with data visualization tools (e.g., Tableau, Power BI) * Strong analytical and problem-solving skills * Excellent communication and stakeholder management skills * Bachelor's degree in Computer Science, Statistics, or related field Nice to Have: * Familiar with user survey tools and collecting user surveys * Experience with programming languages (e.g., Python, R) * Certification in data analysis or related field ## Qualifications * Education: Bachelor’s/Master’s degree in Engineering, Statistics, Economics, Data Science, or a related quantitative field. * Experience: Minimum 1-2years of hands-on experience in product analytics, business analytics, decision sciences, or a related role. * Technical Skills: * Expert proficiency in SQL for complex data extraction and manipulation from large datasets. * Strong command of Python or R for advanced analysis, statistical modeling, and task automation. * Advanced proficiency in data visualization tools (e.g., Tableau, Power BI, Looker) to create impactful, self-service dashboards. * Experience with AI tools e.g. Cursor, n8n for quick prototype, automation and development using AI * Domain Knowledge: * Experience with product analytics and CRM/CDP tools (e.g., Google Analytics, Amplitude, Mixpanel, Clevertap). * Practical experience in designing and analyzing A/B tests. * Analytical Acumen: * Familiarity with statistical methods and machine learning concepts (e.g., regression, classification, clustering, anomaly detection). * Excellent analytical and problem-solving skills with a proven ability to turn data into tangible business impact. * Soft Skills: * Strong business acumen and a passion for understanding user behavior. * Excellent communication and presentation skills, with the ability to explain complex analyses to non-technical stakeholders. ## Additional Information Responsible for safeguarding sensitive company data against unauthorized access, use, or disclosure, and for reporting any suspected security incidents in line with the organization's ISMS (Information Security Management System) policies and procedures.", "summaryDescription" : "Data Analyst at ixigo. Skills: Data analysis, SQL, Data visualization, Product analytics. Write complex queries. Extract data from data warehouse", "postedDate" : "2026-06-15T09:02:23.000", "createdAt" : "2026-06-16T01:34:49.231", "lastUpdated" : "2026-06-16T11:35:29.286", "ingestTimestamp" : "2026-06-16T01:34:49.231", "mongoId" : "6a3078d1f292fd229c02cf2a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Query scripting", "Statistical methods", "Machine learning concepts", "Regression", "Classification", "Clustering", "Anomaly detection", "A/B testing analysis", "Analytical", "Problem-solving", "Business acumen", "Data analysis", "SQL", "Data visualization", "Product analytics", "Business analytics", "Decision sciences", "Data extraction", "Stakeholder management", "Database development", "Data system development", "ETL processes", "CRM tools", "CDP tools", "A/B testing design", "Certification in data analysis", "Tableau", "Power BI", "Looker", "Google Analytics", "Amplitude", "Mixpanel", "Clevertap", "Cursor", "N8n" ], "skillCount" : 35, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a309f59f292fd229c109323", "title" : "Front Office Functional Analyst - H/F", "company" : "Talan", "industry" : "Financial Services", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Front Office Functional Analyst in the Banking industry in Paris, France, adjusted for seniority and industry." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T12:19:43.745", "fingerprint" : "5ad07642b74eed2b98301f82821b59911802d6872841f661ecb127d8fe9adebd", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Talan/744000132129454-front-office-functional-analyst-h-f", "externalId" : "744000132129454", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "Ile-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, Ile-de-France, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL", "professionalSkills" : [ "Booking", "Pricing", "Risk calculation", "Reporting" ], "hardSkillsList" : [ "Support L1", "Support L2", "Support L3" ], "hardSkills" : [ { "name" : "Support L1", "level" : "intermediate" }, { "name" : "Support L2", "level" : "intermediate" }, { "name" : "Support L3", "level" : "intermediate" } ], "majorSkills" : "Front Office, Capital Market, Taux", "majorSkillsList" : [ "Front Office", "Capital Market", "Taux" ], "coreResponsibilities" : "Assurer le support L1, L2, L3, Assurer le support booking, Assurer le support pricing, Assurer le support risque, Assurer le support reporting, Collaborer avec les traders, Traduire les demandes de corrections, Spécifier les demandes de corrections, Travailler avec les développeurs, Spécifier les corrections, Tester les corrections, Communiquer sur les corrections, Suivre le processus de release, Accompagner les users lors des UAT, Mettre à jour la documentation, Créer la documentation", "teamCollaboration" : "Traders de produits structurés; Développeurs de l’équipe", "domainKnowledge" : "Produits de taux; Banque d’investissement; Capital Market", "domainList" : [ "produits-de-taux", "banque-d-investissement", "capital-market" ], "domainSpecificKnowledge" : [ "Produits de taux", "Banque d’investissement", "Capital Market" ], "toolProficiency" : [ "ITIL" ], "documentationSkills" : "Documentation adéquate", "continuousLearning" : "Offre de formation complète; Programme de mentoring", "qualificationsBasic" : "Bac+5, Bonnes connaissances produits de taux, Expérience support front office, Maitrise anglais, Maitrise SQL, Maitrise méthodologie ITIL, 1ère expérience banque d’investissement", "qualificationsPreferred" : "Stage ou alternance", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Fondé en France, Talan est aujourd’hui un groupe international qui accompagne ses clients dans leur transformation Data & IA, de bout en bout, en combinant conseil en management et expertise technologique. Avec plus de 6000 collaborateurs sur 5 continents, nous accélérons les transformations de nos clients à travers des partenariats de long terme, en créant un impact mesurable et durable. Notre proposition de valeur repose sur un écosystème d’innovation structuré : 2 500 experts Data & IA, des solutions propriétaires construites sur des modèles avancés et un laboratoire de recherche appliquée, de développement expérimental et d’innovation. Nous traduisons l’innovation technologique en avantage concurrentiel depuis plus de 20 ans dans des secteurs stratégiques : banques et services financiers, énergie, transport et mobilité, luxe et distribution, santé. Porté par sa promesse de Positive Innovation, Talan s’impose comme un acteur de référence pour répondre à la complexité croissante des environnements économiques, technologiques et réglementaires. Talan est une entreprise responsable, reconnue par ses collaborateurs et attachée à la diversité. Retrouvez nos engagements RSE [ici](https://www.talan.com/global/fr/qui-sommes-nous/notre-vision/engagement-rse) et nos actions en faveur de la diversité [ici](https://www.charte-diversite.com/signataires/talan/) Des aménagements peuvent être proposés si vous êtes en situation de handicap. Rattaché à notre practice Capital Market, vous interviendrez au sein des équipes IT Front Office Taux d’une grande banque d’investissement afin d’assurer le support aux utilisateurs Trading, Ventes, Risk Management, Back Office sur les outils nécessaires au booking, à l’évaluation de leur position et à la production des calculs de risques des produits qu’ils vendent et maintiennent en position. Dans ce cadre, vous * Assurez le support L1, L2, L3, booking, pricing, risque et reporting * Collaborez quotidiennement avec les traders de produits structurés basés essentiellement en Asie, Londres et Paris * Traduisez et spécifier les demandes de corrections remontées par les utilisateurs. * Travaillez avec les développeurs de l’équipe : spécifier, tester, communiquer, suivre le processus de release et accompagner les users lors des UAT sur les demandes de corrections dans le cadre du business as usual. * Mettez à jour ou créer la documentation adéquate. #TalanFrance #LI-SS1 ## Qualifications * Formation Bac+5 (Ecole d’ingénieurs, Ecole de commerce ou Master Spécialisé), * Bonnes connaissances des produits de taux, * Expérience avérée en support front office * Maitrise de l’anglais (oral et écrit) * Maitrise de SQL et de la méthodologie ITIL * 1ère expérience en support ou développement commando en banque d’investissement (Stage ou alternance) ## Additional Information * Locaux modernes en centre-ville * Télétravail jusqu’à 5 jours selon les missions, prime d’équipement de 100 € * Actionnariat salarié * Proximité et convivialité cultivées à tous les niveaux de l’entreprise (Great Place to Work depuis 10 ans, Top 5 des entreprises où il fait bon travailler depuis 5 ans) * Retour de congé maternité possible à 4/5ème sans perte de salaire pendant 6 mois * Permanence handicap (consultant dédié aux collaborateurs en situation de handicap et aux proches aidants). * Offre de formation complète sur site et à distance, programme de mentoring pour les femmes * Mobilité en France et à l’étranger * Tickets restaurant, prime vacances, 50% transport (abonnement transport public), mutuelle * Primes de cooptation de 500 à 4000 € * Top 1% des entreprises évaluées par Ecovadis dans le domaine social, environnemental et éthique", "summaryDescription" : "Front Office Functional Analyst - H/F at Talan. Skills: Front Office, Capital Market, Taux. Assurer le support L1, L2, L3. Assurer le support booking", "postedDate" : "2026-06-15T07:34:05.000", "createdAt" : "2026-06-16T03:34:07.507", "lastUpdated" : "2026-06-16T12:19:43.745", "ingestTimestamp" : "2026-06-16T03:34:07.507", "mongoId" : "6a309f59f292fd229c109323", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Support L1", "Support L2", "Support L3", "Front Office", "Capital Market", "Taux", "Booking", "Pricing", "Risk calculation", "Reporting", "Produits de taux", "Banque d’investissement", "ITIL" ], "skillCount" : 13, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305f20f292fd229cf78f1e", "title" : "Front Office Functional Analyst - H/F", "company" : "Talan", "industry" : "Financial Services", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Mid-level Front Office Functional Analyst in the Banking industry in Paris, France, adjusted for seniority and industry." }, "location" : "Paris, IDF, France", "locations" : [ "Paris", "IDF", "France" ], "timestamp" : "2026-06-16T09:25:51.108", "fingerprint" : "4754aac06b3874f8e0f6c7942b5bdd5de695f3a724efc724754b563597e026e6", "source" : "smartrecruiters", "language" : "fr", "applyUrl" : "https://jobs.smartrecruiters.com/Talan/744000132129454-front-office-functional-analyst-h-f", "externalId" : "744000132129454", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Paris", "state" : "Ile-de-France", "country" : "France", "continent" : "eu", "source" : "llm", "workMode" : "hybrid", "geo" : "48.8534951,2.3483915" } ], "locationText" : "Paris, Ile-de-France, France", "employmentType" : "FULL_TIME", "minimumEducation" : "Master's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL", "professionalSkills" : [ "Booking", "Pricing", "Risk calculation", "Reporting" ], "hardSkillsList" : [ "ITIL methodology" ], "hardSkills" : [ { "name" : "ITIL methodology", "level" : "intermediate" } ], "majorSkills" : "Front office support, Taux products, SQL", "majorSkillsList" : [ "Front office support", "Taux products", "SQL" ], "coreResponsibilities" : "Assurer support L1, L2, L3, Assurer support booking, Assurer support pricing, Assurer support risque, Assurer support reporting, Collaborer avec traders, Traduire demandes corrections, Spécifier demandes corrections, Travailler avec développeurs, Spécifier corrections, Tester corrections, Communiquer corrections, Suivre processus release, Accompagner users UAT, Mettre à jour documentation, Créer documentation", "teamCollaboration" : "Traders; Développeurs; Users", "domainKnowledge" : "Produits de taux; Banque d’investissement; Front Office", "domainList" : [ "produits-de-taux", "banque-d-investissement", "front-office" ], "domainSpecificKnowledge" : [ "Produits de taux", "Banque d’investissement", "Front Office" ], "toolProficiency" : [ "SQL" ], "communicationSkills" : "Oral et écrit", "documentationSkills" : "Documentation adéquate", "continuousLearning" : "Offre de formation; Programme de mentoring", "qualificationsBasic" : "Bac+5, Bonnes connaissances produits de taux, Expérience support front office, Maitrise anglais, Maitrise SQL, Maitrise méthodologie ITIL, 1ère expérience banque d’investissement", "qualificationsPreferred" : "Stage ou alternance", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "Fondé en France, Talan est aujourd’hui un groupe international qui accompagne ses clients dans leur transformation Data & IA, de bout en bout, en combinant conseil en management et expertise technologique. Avec plus de 6000 collaborateurs sur 5 continents, nous accélérons les transformations de nos clients à travers des partenariats de long terme, en créant un impact mesurable et durable. Notre proposition de valeur repose sur un écosystème d’innovation structuré : 2 500 experts Data & IA, des solutions propriétaires construites sur des modèles avancés et un laboratoire de recherche appliquée, de développement expérimental et d’innovation. Nous traduisons l’innovation technologique en avantage concurrentiel depuis plus de 20 ans dans des secteurs stratégiques : banques et services financiers, énergie, transport et mobilité, luxe et distribution, santé. Porté par sa promesse de Positive Innovation, Talan s’impose comme un acteur de référence pour répondre à la complexité croissante des environnements économiques, technologiques et réglementaires. Talan est une entreprise responsable, reconnue par ses collaborateurs et attachée à la diversité. Retrouvez nos engagements RSE [ici](https://www.talan.com/global/fr/qui-sommes-nous/notre-vision/engagement-rse) et nos actions en faveur de la diversité [ici](https://www.charte-diversite.com/signataires/talan/) Des aménagements peuvent être proposés si vous êtes en situation de handicap. Rattaché à notre practice Capital Market, vous interviendrez au sein des équipes IT Front Office Taux d’une grande banque d’investissement afin d’assurer le support aux utilisateurs Trading, Ventes, Risk Management, Back Office sur les outils nécessaires au booking, à l’évaluation de leur position et à la production des calculs de risques des produits qu’ils vendent et maintiennent en position. Dans ce cadre, vous * Assurez le support L1, L2, L3, booking, pricing, risque et reporting * Collaborez quotidiennement avec les traders de produits structurés basés essentiellement en Asie, Londres et Paris * Traduisez et spécifier les demandes de corrections remontées par les utilisateurs. * Travaillez avec les développeurs de l’équipe : spécifier, tester, communiquer, suivre le processus de release et accompagner les users lors des UAT sur les demandes de corrections dans le cadre du business as usual. * Mettez à jour ou créer la documentation adéquate. #TalanFrance #LI-SS1 ## Qualifications * Formation Bac+5 (Ecole d’ingénieurs, Ecole de commerce ou Master Spécialisé), * Bonnes connaissances des produits de taux, * Expérience avérée en support front office * Maitrise de l’anglais (oral et écrit) * Maitrise de SQL et de la méthodologie ITIL * 1ère expérience en support ou développement commando en banque d’investissement (Stage ou alternance) ## Additional Information * Locaux modernes en centre-ville * Télétravail jusqu’à 5 jours selon les missions, prime d’équipement de 100 € * Actionnariat salarié * Proximité et convivialité cultivées à tous les niveaux de l’entreprise (Great Place to Work depuis 10 ans, Top 5 des entreprises où il fait bon travailler depuis 5 ans) * Retour de congé maternité possible à 4/5ème sans perte de salaire pendant 6 mois * Permanence handicap (consultant dédié aux collaborateurs en situation de handicap et aux proches aidants). * Offre de formation complète sur site et à distance, programme de mentoring pour les femmes * Mobilité en France et à l’étranger * Tickets restaurant, prime vacances, 50% transport (abonnement transport public), mutuelle * Primes de cooptation de 500 à 4000 € * Top 1% des entreprises évaluées par Ecovadis dans le domaine social, environnemental et éthique", "summaryDescription" : "Front Office Functional Analyst - H/F at Talan. Skills: Front office support, Taux products, SQL. Assurer support L1, L2, L3. Assurer support booking", "postedDate" : "2026-06-15T07:34:05.000", "createdAt" : "2026-06-15T23:55:41.017", "lastUpdated" : "2026-06-16T09:25:51.108", "ingestTimestamp" : "2026-06-15T23:55:41.017", "mongoId" : "6a305f20f292fd229cf78f1e", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "ITIL methodology", "Front office support", "Taux products", "SQL", "Booking", "Pricing", "Risk calculation", "Reporting", "Produits de taux", "Banque d’investissement", "Front Office" ], "skillCount" : 11, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Banking", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30511af292fd229cefa673", "title" : "Solutions Architect IV- Data and Analytics", "industry" : "IT", "salary" : { "min" : 85000.0, "max" : 135000.0, "currency" : "EUR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Solutions Architect IV in Bulgaria, adjusted for the technology industry and remote work." }, "location" : "US", "locations" : [ "US" ], "timestamp" : "2026-06-16T11:33:50.217", "fingerprint" : "1a58dd7bf18f2efdc2c046d8f3f4e1b90f08c87a7ddd6966c933a1be53219368", "source" : "lever", "language" : "en", "applyUrl" : "https://jobs.lever.co/jobgether/2b7d6fbe-231c-4004-828c-8606bceba0b0/apply", "externalId" : "2b7d6fbe-231c-4004-828c-8606bceba0b0", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "Oracle Analytics Cloud, ETL, Power BI", "professionalSkills" : [ "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management" ], "hardSkillsList" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs" ], "softSkillsList" : [ "Problem-solving" ], "hardSkills" : [ { "name" : "Data ingestion", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Reporting logic", "level" : "intermediate" }, { "name" : "Data cleansing", "level" : "intermediate" }, { "name" : "Reporting needs", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Problem-solving" } ], "majorSkills" : "Data architecture, Data analytics, Business intelligence", "majorSkillsList" : [ "Data architecture", "Data analytics", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain stakeholder relationships, Ensure data and analytics solutions align with business, Enhance and maintain stability of OAC environments, Enhance and maintain performance of OAC environments, Enhance and maintain scalability of OAC environments, Design data ingestion strategies, Support data ingestion strategies, Establish data governance standards, Maintain data governance standards, Document data sources, Document transformations, Document reporting logic, Promote self-service BI adoption, Promote visualization best practices, Manage user access, Manage security, Manage provisioning for analytics platforms, Support data quality processes, Validate data, Cleanse data, Optimize ETL, Collaborate with business users, Collaborate with IT teams, Troubleshoot system issues, Deliver enhancements, Support reporting needs, Participate in SDLC processes, Participate in project planning, Participate in Agile ceremonies, Communicate status updates, Communicate risks, Contribute to dashboard development, Contribute to report creation, Contribute to migration efforts, Lift and shift OAC content into Power BI", "teamCollaboration" : "Cross-functional collaboration efforts; Business users; IT teams", "projectManagementSkills" : [ "Agile ceremonies", "Project planning", "SDLC processes" ], "domainKnowledge" : "Data lake architectures; Modern data warehouse architectures; Enterprise BI architectures", "domainList" : [ "data-lake-architectures", "modern-data-warehouse-architectures", "enterprise-bi-architectures" ], "domainSpecificKnowledge" : [ "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures" ], "toolProficiency" : [ "Oracle Analytics Cloud", "Power BI" ], "communicationSkills" : "Presentation; Stakeholder management; Explain analytical insights", "documentationSkills" : "Documentation of data sources; Documentation of transformations; Documentation of reporting logic", "problemSolvingSkills" : "Problem-solving abilities", "specialRequirements" : "Willingness to travel periodically", "qualificationsBasic" : "Bachelor's degree in Computer Science, Information Systems, Business Administration, or related field, 5+ years of experience in BI, data analytics, or data architecture roles, Experience with relational databases, Data modeling concepts, ETL processes, Flat file data integration, Deep understanding of data analytics platforms, Reporting frameworks, Enterprise BI architectures, Ability to translate business requirements into technical data solutions, Explain analytical insights in simple terms, Experience working with stakeholders to define priorities, Gather requirements, Deliver data-driven solutions, Knowledge of Agile/Scrum methodologies, Basic project management principles, Communication skills, Presentation skills, Stakeholder management skills", "qualificationsPreferred" : "Hands-on experience with Microsoft Power BI or similar data visualization tools, Familiarity with data lake concepts, Emerging modern data warehouse architectures", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Develop and maintain strong stakeholder relationships to ensure data and analytics solutions align with evolving business requirements and priorities. Enhance and maintain stability, performance, and scalability of existing Oracle Analytics Cloud (OAC) environments. Design and support data ingestion strategies for modern data lake architectures using ETL tools, flat file processing, and integration frameworks. Establish and maintain data governance standards, including documentation of data sources, transformations, and reporting logic. Promote self-service BI adoption and visualization best practices across the organization using OAC and Power BI platforms. Manage user access, security, and provisioning for analytics platforms, ensuring appropriate governance and compliance. Support data quality processes including validation, cleansing, and ETL optimization to ensure reliable reporting outputs. Collaborate with business users and IT teams to troubleshoot system issues, deliver enhancements, and support reporting needs. Participate in SDLC processes, project planning, and Agile ceremonies while ensuring timely communication of status updates and risks. Contribute to dashboard development, report creation, and migration efforts including the “lift and shift” of legacy OAC content into Power BI. Requirements: Bachelor’s degree in Computer Science, Information Systems, Business Administration, or related field. 5+ years of experience in BI, data analytics, or data architecture roles covering design, development, implementation, and support of enterprise analytics solutions. Strong experience with relational databases, data modeling concepts, ETL processes, and flat file data integration. Hands-on experience with Microsoft Power BI or similar data visualization tools strongly preferred. Deep understanding of data analytics platforms, reporting frameworks, and enterprise BI architectures. Strong ability to translate business requirements into technical data solutions and explain analytical insights in simple terms. Experience working with stakeholders to define priorities, gather requirements, and deliver data-driven solutions. Familiarity with data lake concepts and emerging modern data warehouse architectures. Knowledge of Agile/Scrum methodologies and basic project management principles. Strong communication, presentation, and stakeholder management skills across technical and non-technical audiences. Self-starter mindset with strong problem-solving abilities and ability to lead cross-functional collaboration efforts. Willingness to travel periodically as required. Benefits: Competitive base salary with performance-based incentive compensation. Comprehensive health coverage including medical, dental, and vision insurance. Life insurance, disability coverage, and additional voluntary benefit options. Immediate eligibility for 401(k) with employer matching contributions. Generous paid time off including 80 hours (10 days) of company holidays annually. Adoption benefits and family support programs. Inclusive work environment with equal opportunity employment practices. Exposure to modern data architecture transformation and enterprise BI modernization initiatives. ## Additional Information How Jobgether works: We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Why Apply Through Jobgether? Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1", "summaryDescription" : "Solutions Architect IV- Data and Analytics. Skills: Data architecture, Data analytics, Business intelligence. Develop and maintain stakeholder relationships. Ensure data and analytics solutions align with business", "postedDate" : "2026-06-15T10:16:20.862", "createdAt" : "2026-06-15T10:16:20.862", "lastUpdated" : "2026-06-16T11:33:50.217", "ingestTimestamp" : "2026-06-16T03:20:53.708", "mongoId" : "6a30511af292fd229cefa673", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data ingestion", "Data transformation", "Reporting logic", "Data cleansing", "Reporting needs", "Problem-solving", "Data architecture", "Data analytics", "Business intelligence", "Data modeling", "Data governance", "Self-service BI", "User access management", "Data quality processes", "ETL optimization", "System troubleshooting", "Project planning", "Stakeholder management", "Agile ceremonies", "SDLC processes", "Data lake architectures", "Modern data warehouse architectures", "Enterprise BI architectures", "Oracle Analytics Cloud", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a16291c58b93c861e95a3d3", "title" : "Mergers & Acquisition Analyst", "salary" : { "min" : 85000.0, "max" : 130000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Mergers & Acquisition Analyst in Omaha, United States, adjusted for industry and company size." }, "location" : "United States-Nebraska-Omaha", "locations" : [ "United States-Nebraska-Omaha" ], "timestamp" : "2026-06-15T08:28:28.320", "fingerprint" : "a4b5ba41dd8ea28fc65a5a19b8c538ca5a58c9fcbeb9ee1198f42ed8c9728b6f", "source" : "taleo", "language" : "en", "applyUrl" : "https://hdr.taleo.net/careersection/ex/jobdetail.ftl?job=674789", "externalId" : "674789", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Omaha", "state" : "Nebraska", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "41.2587459,-95.9383758" } ], "locationText" : "Omaha, Nebraska, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "technicalSkills" : "Microsoft Excel", "professionalSkills" : [ "Acquisition valuation", "Project management" ], "hardSkillsList" : [ "Valuation techniques" ], "hardSkills" : [ { "name" : "Valuation techniques", "level" : "intermediate" } ], "majorSkills" : "Mergers & Acquisition", "majorSkillsList" : [ "Mergers & Acquisition" ], "coreResponsibilities" : "Manage multiple projects, Manage priorities", "toolProficiency" : [ "Microsoft Excel" ], "specialRequirements" : "Travel up to 20%", "qualificationsBasic" : "Bachelor's degree in related field, Advanced level skill in Microsoft Excel, Knowledge of acquisition valuation techniques, Ability to manage multiple projects and priorities", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Required Qualifications Bachelor's degree in related field Advanced level skill in Microsoft Excel Knowledge of acquisition valuation techniques Ability to manage multiple projects and priorities Willingness to travel up to 20% of the time for business purposes 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-Nebraska-Omaha", "summaryDescription" : "Mergers & Acquisition Analyst. Skills: Mergers & Acquisition. Manage multiple projects. Manage priorities", "createdAt" : "2026-06-14T02:15:06.423", "lastUpdated" : "2026-06-15T08:28:28.320", "ingestTimestamp" : "2026-06-14T02:15:06.423", "mongoId" : "6a16291c58b93c861e95a3d3", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 85000, "salaryAnnualMax" : 130000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Valuation techniques", "Mergers & Acquisition", "Acquisition valuation", "Project management", "Microsoft Excel" ], "skillCount" : 5, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Mid", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustryConfidence" : 0.92 }, { "id" : "6a2c5dc974d8ee00a08de8ce", "title" : "SOC Analyst IV", "company" : "SkyePoint Decisions", "industry" : "Cybersecurity", "salary" : { "min" : 90000.0, "max" : 120000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCIH", "GCIA", "CEH", "Security+" ], "timestamp" : "2026-06-15T00:47:42.821", "fingerprint" : "39aba3e67314a595915c07fc157be3f90908e53229699f42e5664dc45e818b1e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/skyepointdecisionsinc/jobs/4240195009", "externalId" : "4240195009", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SIEM, Endpoint telemetry, Operating systems, Networking, AWS native capabilities", "professionalSkills" : [ "Forensic analysis", "Situational awareness" ], "hardSkillsList" : [ "Tier III support" ], "hardSkills" : [ { "name" : "Tier III support", "level" : "intermediate" } ], "majorSkills" : "SIEM alert triage, Forensic analysis", "majorSkillsList" : [ "SIEM alert triage", "Forensic analysis" ], "coreResponsibilities" : "Provide Tier III support, Perform SIEM alert triage, Conduct forensic analysis, Handle escalations, Maintain situational awareness, Lead shift handovers, Contribute to SOP updates, Contribute to playbook updates, Support Red Team exercises, Support Purple Team exercises", "domainKnowledge" : "Cybersecurity Architecture; Critical Infrastructure; Applications Development", "domainList" : [ "cybersecurity-architecture", "critical-infrastructure", "applications-development" ], "domainSpecificKnowledge" : [ "Cybersecurity Architecture", "Critical Infrastructure", "Applications Development" ], "continuousLearning" : "Certification incentive program", "problemSolvingSkills" : "Root cause analysis", "specialRequirements" : "Active Secret clearance, U. S. Citizen", "qualificationsBasic" : "Bachelor's degree, 6+ years SOC experience, Active Secret clearance, U. S. Citizen", "qualificationsPreferred" : "GCIH certification, GCIA certification, CEH certification, Security+ certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "SkyePoint Decisions is a leading Cybersecurity Architecture and Engineering, Critical Infrastructure and Operations, and Applications Development and Maintenance IT service provider headquartered in Dulles, Virginia with operations across the U. S. We provide innovative enterprise-wide solutions as well as targeted services addressing the complex challenges faced by our federal government clients. Our focus is on enabling our clients to deliver their mission most efficiently and effectively – anytime, anywhere, securely. We combine technical expertise, mission awareness, and an empowered workforce to produce meaningful results. This is a contingent position based upon contract win. SkyePoint Decisions is seeking a SOC Analyst IV to join our team supporting the Department of Education’s (DoED) Federal Student Aid (FSA) Cybersecurity and Privacy Support Services (CPSS) in Washington, DC. This is a remote position. Responsibilities: Provides Tier III support for SIEM alert triage, forensic analysis, and escalation. Maintains situational awareness of SOC tools and telemetry. Leads shift handovers and contributes to SOP/playbook updates. Supports Red Team and Purple Team exercises. Required Qualifications: Bachelor's degree and 6+ years of SOC experience. At least an active Secret clearance. At least one of these certifications: GCIH, GCIA, CEH, Security+. Experience with SIEM, and endpoint telemetry. Experience with operating systems, networking and AWS native capabilities. Must be a U. S. Citizen. Compensation: Salary Range: $90,000-$120,000 The SkyePoint Decisions salary range for this position is a general guideline only. It represents an estimated range for this position and is just one piece of our total compensation package. Salary at SkyePoint is determined by various factors, including but not limited to location, work schedule, the candidate’s combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, market data and business considerations. In addition to a competitive salary, SkyePoint offers benefits including a certification incentive program, PTO, floating federal holiday options, several insurance options including HMO and High Deductible plans with Health Savings Accounts [HSAs], Flex Spending Accounts [FSAs], Full Dental Plans, Vision, ST/LT Disability, Life Insurance, and 401k matched. What We Can Offer You: At SkyePoint, we go B.I. G. (beginning in GRATITUDE) by recognizing all we have and giving back to our employees, families, and communities. It instills a positive mindset that permeates all we do. By beginning in gratitude, SkyePoint can continue to spread living in gratitude each day. Great Benefits: Several insurance options including HMO and High Deductible plans with Health Savings Accounts [HSAs], Flex Spending Accounts [FSAs], Full Dental Plans, ST/LT Disability, Life Insurance, floating federal holiday options, and 401k matched Certificate Incentive Program: To promote professional development, we recognize and reward employees who obtain new certifications aligned with business needs. Flexible Work Environment SkyePoint Decisions is an established ISO 9001:2015 and ISO/IEC 27001:2013 certified small business and appraised at CMMI Level 3 for Services and Development. We possess a common vision of excellence and foster a collaborative team culture built upon individual performance and accountability. We invest in our people and systems to create value for our clients. It is the SkyePoint Way. We are grateful for the opportunity to work with exceptional people and give back to the communities we serve. Our employees value the flexibility at SkyePoint that allows them to balance quality work and their personal lives. SkyePoint Decisions is a participating E-Verify Employer. U. S. Citizenship is required for most positions. Equal Opportunity Employer/Veterans/Disabled. CCPA Disclosure Notice Here", "summaryDescription" : "SOC Analyst IV at SkyePoint Decisions. Skills: SIEM alert triage, Forensic analysis. Provide Tier III support. Perform SIEM alert triage", "postedDate" : "2026-06-12T21:45:20.977", "createdAt" : "2026-06-12T21:45:20.977", "lastUpdated" : "2026-06-15T00:47:42.821", "ingestTimestamp" : "2026-06-12T21:45:20.977", "mongoId" : "6a2c5dc974d8ee00a08de8ce", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 90000, "salaryAnnualMax" : 120000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Tier III support", "SIEM alert triage", "Forensic analysis", "Situational awareness", "Cybersecurity Architecture", "Critical Infrastructure", "Applications Development", "GCIH", "GCIA", "CEH", "Security+" ], "skillCount" : 11, "jobCategory" : "other", "jobSubcategory" : "billable-", "dataQualityScore" : 1.0, "daysOld" : 2, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Cybersecurity" }, { "id" : "6a0ac3171663d49372e0c75a", "title" : "Business Systems Analyst IV", "company" : "DataMap", "industry" : "Technology", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "The estimated salary is based on the market baseline for a Business Systems Analyst IV in Overland Park, United States, with adjustments for seniority, company size, and the technology industry." }, "location" : "Overland Park, KS", "locations" : [ "Overland Park", "KS" ], "timestamp" : "2026-06-15T08:19:47.992", "fingerprint" : "f7149c932e59728706d4c34c9d5003bb0c4bc6e2b8cb3b60ccdea2cbfb707935", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamap.breezy.hr/p/c759bb8b71b9-business-systems-analyst-iv", "externalId" : "c759bb8b71b9", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Overland Park", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9742502,-94.6851702" } ], "locationText" : "Overland Park, Kansas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "rawDescription" : "Business Systems Analyst IV \uD83D\uDCCD Location: Overland Park, KS \uD83C\uDFE2 Company: DataMap \uD83D\uDD17 Client Work: www.datamap.ai/client-experience Why Join DataMap? At DataMap, we implement cutting-edge financial and operations software for some of the world’s largest companies (e.g., Google) and develop innovative,", "summaryDescription" : "Business Systems Analyst IV at DataMap", "createdAt" : "2026-06-13T23:00:00.086", "lastUpdated" : "2026-06-15T08:19:47.992", "ingestTimestamp" : "2026-06-13T23:00:00.086", "mongoId" : "6a0ac3171663d49372e0c75a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 135000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a309be9f292fd229c0f55e1", "title" : "Sr. Data Analyst", "company" : "Tech Holding", "industry" : "Technology", "salary" : { "min" : 750000.0, "max" : 1200000.0, "currency" : "MXN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in Mexico, adjusted for the e-commerce industry and remote work." }, "location" : "Mexico, Remote", "locations" : [ "Mexico", "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T12:44:59.021", "fingerprint" : "6091b732bd75dbcc97fd3ed5815a428ef10221b7aa25eed521f8a249c3720d1f", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/techholding/jobs/4706303005", "externalId" : "4706303005", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Mexico", "continent" : "na", "workMode" : "remote" } ], "locationText" : "Mexico", "employmentType" : "CONTRACT", "minimumEducation" : "Bachelor's", "experienceMinYears" : 4, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Delta Lake, AWS, GCP, Azure, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data manipulation", "Data visualization", "ETL processes", "Model development", "Statistical modeling", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data manipulation", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Model development", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data Science, Machine Learning, Business Intelligence, Data Engineering", "majorSkillsList" : [ "Data Science", "Machine Learning", "Business Intelligence", "Data Engineering" ], "coreResponsibilities" : "Develop and implement data models, Build and maintain data pipelines, Perform statistical analysis, Develop machine learning models, Create business intelligence dashboards, Analyze large datasets, Collaborate with stakeholders, Ensure data quality, Optimize data processes, Communicate findings", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Regression; Classification; Clustering; Time-series analysis", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "regression", "classification", "clustering", "time-series-analysis" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Regression", "Classification", "Clustering", "Time-series analysis" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Fivetran", "Airflow", "Dbt Cloud", "Delta Lake", "AWS S3", "AWS Glue", "AWS SageMaker", "AWS Athena", "GCP BigQuery", "GCP Vertex AI", "Azure Synapse", "Azure ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document data models; Document pipelines", "problemSolvingSkills" : "Data analysis; Troubleshooting data issues", "qualificationsBasic" : "4+ years of experience, SQL proficiency, Bachelor's degree in Statistics, Computer Science, or Mathematics", "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, Experience with Snowflake, Experience with BigQuery, Experience with Redshift, Experience with Databricks, Experience with dbt, Experience with Fivetran, Experience with Airflow, Experience with dbt Cloud, Experience with Delta Lake, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "About us: Working at Tech Holding isn't just a job, it's an opportunity to be a part of something bigger. We are a full-service consulting firm that was founded on the premise of delivering predictable outcomes and high-quality solutions to our clients. Our founders and team members have industry experience and have held senior positions in a wide variety of companies – from emerging startups to large Fortune 50 firms – and we have taken our combined experiences and developed a unique approach that is supported by the principles of deep expertise, integrity, transparency, and dependability. The Role We are seeking a Senior Data Analyst, for a project-based assignment, to help drive data-driven decision making across a fast-growing ecommerce and subscription-based business. In this role, you will collaborate closely with Product, Marketing, Merchandising, and Engineering teams to deliver actionable insights that support growth, retention, personalization, and operational efficiency initiatives. The ideal candidate has strong analytical and statistical skills, deep experience working with modern analytics platforms, and the ability to translate complex data into meaningful business recommendations. This role requires both hands-on analytical execution and the ability to provide technical guidance across cross-functional teams. Key Responsibilities Business Intelligence: Build and maintain dashboards, reports, and ad hoc analyses in Tableau and Snowflake to drive data-driven decisions. Advanced Analytics: Lead hypothesis testing, A/B testing, regression analysis, and forecasting to inform product and marketing strategy. Process Automation: Develop SQL/Python automation and workflow tools (Airflow, dbt) to monitor data quality and alert stakeholders in real time. E-commerce Focus: Drive insights on customer acquisition, retention, and user experience within a subscription-based model. Cross-functional Collaboration: Partner with Engineering, Marketing, and Product to align business needs with data initiatives and drive execution. Communication & Storytelling: Translate complex data into compelling narratives with actionable recommendations for stakeholders at all levels. Required Skills Bachelor's degree in Statistics, Mathematics, Computer Science, or a related quantitative field 4+ years in data analytics or related fields, with 2+ years providing technical guidance to teams Proven experience in an e-commerce environment, preferably subscription-based models Expertise in advanced analytics and statistical methods Proficiency in Tableau, Snowflake, SQL, Python, or R Strong ability to communicate technical details and high-level business strategies to mixed audiences Core Skills Snowflake Tableau SQL / Python A/B Testing dbt / Airflow E-commerce Subscription Models Statistical Analysis Nice to Have Machine learning, A/B testing and experimental design Deep knowledge of e-commerce KPIs and personalization Location Candidates must be authorized to work in and be located in Mexico. #LI-Remote Tech Holding is proud to be an Equal Opportunity Employer and is committed to fostering a diverse and inclusive workplace. We welcome applicants from all backgrounds and experiences, and we consider qualified applicants without regard to race, color, religion, gender, sexual orientation, gender identity, national origin, disability, veteran status, or any other legally protected characteristic. If you require accommodation in the application process, please contact our HR", "summaryDescription" : "Sr. Data Analyst at Tech Holding. Skills: Data Science, Machine Learning, Business Intelligence, Data Engineering. Develop and implement data models. 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Product teams; Engineering teams; Clinical teams", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Dbt", "Snowflake", "BigQuery", "Databricks", "Tableau", "Power BI", "Looker", "Airflow", "Fivetran" ], "qualificationsBasic" : "2+ years of experience, SQL proficiency, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred, GCP Professional Data Engineer certification preferred, AWS Data Analytics certification preferred, Databricks Certified certification preferred, Dbt Certified certification preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "\uD83D\uDCCD Hybrid, Palo Alto (Hybrid – 2 days/week in office) Reports to: Director Data Science + Analytics About the Role Join Midi Health as a Growth Analyst. As we scale our D2C and B2B segments (partnering with health systems and employers) and deepen our analytical capabilities across marketing channels, we need a data-driven analyst to grow alongside us. In this role, you will play a critical part in developing actionable dashboards and uncovering insights to drive user conversion. If you love data visualization, story telling, and diving deep into funnel analytics to drive business impact, this is the perfect opportunity to accelerate your career. What You’ll Do Dashboarding & Reporting: Develop, iterate, and maintain comprehensive reports and automated dashboards using our visualization platforms to track KPIs and keep cross-functional stakeholders informed. Funnel & Conversion Analysis: Analyze the end-to-end user journey. B2B Growth Support: Partner with the growth and commercial teams to track performance and scale our B2B initiatives across health system and employer partnerships. Lifecycle Marketing Support: Support the lifecycle marketing team by tracking engagement metrics, user re-engagement campaigns, and email/SMS performance. Grow & Own: Work closely with your mentor to upskill, refine your analytical frameworks, and eventually transition into a senior role owning specific growth and marketing analytics domains. What You Bring Passion for Women's Health Tech: A genuine interest in Midi’s mission to close the gap in midlife care and improve healthcare outcomes for women. Experience: 2-4 years of experience in data analytics, marketing analytics, growth, or a related field. Technical Skills: Proficiency in SQL and data visualization/BI tools (e.g., QuickSight, Tableau, Looker). Strong hands-on experience with event-based analytics platforms (e.g., Amplitude, Mixpanel) and Ad Platform dashboards (Meta, Google, etc.). Analytical Capabilities: Ability to analyze conversion funnels and translate complex data points into a clear narrative. Strong attention to detail in reporting and maintaining data integrity. AI Adoption & Tech Fluency: Comfortable integrating generative AI tools (like Claude) and modern platform AI agents into your daily data workflows to write code faster, troubleshoot tracking schemas, and scale analytics output. Experimentation: Heavy statistical experimentation experience is not required. A basic understanding of straightforward A/B testing is sufficient, and you will learn as you go. Growth Mindset: You are eager to learn, highly collaborative, and excited to be mentored by senior team members while building the foundation to become a domain owner. Interview Process: Recruiter Screen- 30 mins Hiring Manager Screen- 45 mins Technical Screen- 1hr Panel Interviews- 2-3 hours + Lunch in Office in Palo Alto At this time, Midi is unable to provide visa sponsorship. Candidates must be authorized to work in the U. S. without current or future sponsorship needs. The Salary range base salary is 110-120K and will depend on experience.Midi pays a competitive base salary, plus equity and benefits. While you’re waiting for us to review your portfolio, here’s some fun content to check out \uD83C\uDFA5 https://www.youtube.com/watch?v=1px7i6MVjNg #LI-PS1 At this time, Midi is unable to provide visa sponsorship. All Candidates must be authorized to work in the United States without current or future sponsorship needs. Please note that all official communication from Midi Health will come from an @joinmidi.com email address. We will never ask for payment of any kind during the application or hiring process. If you receive any suspicious communication claiming to be from Midi Health, please report it immediately by emailing us at careers@joinmidi.com. Midi Health is an Equal Opportunity Employer. We are committed to pay equity and ensure that all qualified applicants receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or protected veteran status. Our compensation philosophy is based on fair, objective criteria and the impact of the role, regardless of an applicant’s salary history. Please find our CCPA Privacy Notice for California Candidates here.", "summaryDescription" : "Data Analyst at Midi Health. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and maintain data pipelines. Build and optimize data models", "postedDate" : "2026-06-14T20:10:17.436", "createdAt" : "2026-06-14T20:10:17.436", "lastUpdated" : "2026-06-16T02:29:19.617", "ingestTimestamp" : "2026-06-14T20:10:17.436", "mongoId" : "6a2c968d74d8ee00a098fe9d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 110000, "salaryAnnualMax" : 120000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Regression analysis", "Classification modeling", "Clustering algorithms", "Time-series forecasting", "A/B testing", "Causal inference", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt", "Snowflake", "BigQuery", "Databricks", "Tableau", "Power BI", "Looker", "Airflow", "Fivetran" ], "skillCount" : 30, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a0ac3171663d49372e0c768", "title" : "Customer Experience Analyst IV", "company" : "DataMap", "salary" : { "min" : 115000.0, "max" : 165000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Customer Experience Analyst IV in Overland Park, United States, adjusted for the technology industry and company size." }, "location" : "Overland Park, KS", "locations" : [ "Overland Park", "KS" ], "timestamp" : "2026-06-15T06:57:40.949", "fingerprint" : "adadece37165388cd1b16419f87be57a713266a45b7ba1065ed20d882b5c2ae4", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://datamap.breezy.hr/p/040789201280-customer-experience-analyst-iv", "externalId" : "040789201280", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Overland Park", "state" : "Kansas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.9742502,-94.6851702" } ], "locationText" : "Overland Park, Kansas, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "coreResponsibilities" : "Manage customer relationships, Drive customer retention, Ensure customer satisfaction, Facilitate value realization", "remoteFriendly" : false, "summaryDescription" : "Customer Experience Analyst IV at DataMap. Manage customer relationships. Drive customer retention", "createdAt" : "2026-06-14T00:10:04.623", "lastUpdated" : "2026-06-15T06:57:40.949", "ingestTimestamp" : "2026-06-14T00:10:04.623", "mongoId" : "6a0ac3171663d49372e0c768", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 165000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "customer_success", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.9 }, { "id" : "6a305b41f292fd229cf5b606", "title" : "Senior Data Analyst", "company" : "Precision AQ", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Senior Data Analyst in India, adjusted for the healthcare industry and senior experience level." }, "location" : "India", "locations" : [ "India" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:36:13.125", "fingerprint" : "615ce28dcc18080445d64a123f08c11ac06bd77f84eff34424c788667a4a9996", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/precisionaq/jobs/6030402004", "externalId" : "6030402004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Tableau, Power BI, Looker, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Regression analysis", "Classification analysis", "Clustering analysis", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification analysis", "level" : "intermediate" }, { "name" : "Clustering analysis", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and deploy machine learning models, Build and maintain data pipelines, Design and implement BI solutions, Perform quantitative analysis, Engineer data solutions, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Stakeholders", "domainKnowledge" : "Data science; Data engineering; Machine learning; AI; Business intelligence; Analytics engineering; Quantitative analysis; Cloud data stacks; ML frameworks; BI platforms; Statistical methods; Modelling skills", "domainList" : [ "data-science", "data-engineering", "machine-learning", "ai", "business-intelligence", "analytics-engineering", "quantitative-analysis", "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods", "modelling-skills" ], "domainSpecificKnowledge" : [ "Data science", "Data engineering", "Machine learning", "AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "Modelling skills" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Delta Lake", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years experience, Bachelor's degree in Statistics, Computer Science, or Mathematics, SQL proficiency", "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, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio", "remoteFriendly" : false, "rawDescription" : "Role Summary We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data. The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients. Key Responsibilities Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics. Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims. Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization. Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies. Develop and present client-facing insights using dashboards, PowerPoint and visual analytics. Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis. Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance. Ensure data integrity, governance, documentation and reproducibility. Independently manage workload, communicate progress and drive project delivery. Required Qualifications Minimum 5 years’ experience, with 3+ years in relevant analytics roles. Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field. Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson. Strong proficiency in SQL, Python, Excel, PowerPoint. Experience in Pharma/life-science consulting or analytics agencies. Exposure to RWE sources including EHR/EMR, CMS datasets. Understanding of LoT frameworks, treatment guidelines and market-access structures. Preferred / Nice to Haves Working knowledge of Python and visualisation tools (Power BI, Tableau). understanding of data modeling and statistical techniques. Client-facing experience with ability to translate analytics into business insights. Therapy-area familiarity (oncology, immunology, rare diseases). Experience conducting stakeholder workshops or building interactive dashboards. Experience working with global teams and multi-geography datasets. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Senior Data Analyst at Precision AQ. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and deploy machine learning models. 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Ofrecemos a nuestros clientes una combinación única de proximidad, organización sectorial y soluciones de calidad. Presente en más de 26 países, el Grupo tiene cerca de 27.000 colaboradores y apunta a continuar creciendo. ¡En Inetum acompañamos a nuestros clientes y colaboradores en su camino al éxito! Si te gusta reinventarte y resolver problemas con nuevas estrategias, trabajar en proyectos de IT y de negocios: ¡Postula ahora! Actualmente nos encontramos en búsqueda de 1 Data Analyst Pleno para que se integre a nuestro equipo. ## Qualifications Experience • 2+ years of experience in: - Data Analytics - Business Intelligence - Analytics Engineering - Data Product environments • Experience working directly with business stakeholders. • Experience building dashboards and analytical solutions. Technical Knowledge Strong understanding of: • SQL • Python • Data modeling • Dashboard design • Analytical thinking • Business metrics • APIs and ingestion concepts • AI productivity tools Experience with: • Snowflake • Tableau • Python for analytics and automation • Excel / Google Sheets • APIs and ingestion concepts • Automation tools • AI/GenAI productivity tools ## Additional Information *¿QUÉ PODEMOS OFRECERTE?: * Retribución salarial acorde con la experiencia aportada * Plan de carrera: ofrecemos una atractiva carrera profesional en función de la experiencia y potencial personal dentro de una compañía en continua evolución y con un sólido crecimiento * Plan de formación en competencias tecnológicas de acuerdo con las exigencias de los proyectos y clientes. * Retribución flexible: te ofrecemos una retribución a la carta pudiendo elegir diferentes productos y modelar tú mismo cómo distribuirlos: seguro de salud, tickets de comida, guardería, tarjeta transporte, etc. * Flexibilidad horaria", "summaryDescription" : "Data Analyst Pleno at Inetum. Skills: Data Analytics, Business Intelligence, Analytics Engineering, Data Product. Build dashboards. Build analytical solutions", "postedDate" : "2026-06-15T21:26:47.000", "createdAt" : "2026-06-16T01:45:36.719", "lastUpdated" : "2026-06-16T11:41:16.930", "ingestTimestamp" : "2026-06-16T01:45:36.719", "mongoId" : "6a30818ef292fd229c06a8d0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "50k-75k", "hasSalary" : false, "allSkills" : [ "Data modeling", "Dashboard design", "Analytical thinking", "Business metrics", "AI productivity tools", "Data Analytics", "Business Intelligence", "Analytics Engineering", "Data Product", "Snowflake", "Tableau", "Excel", "Google Sheets", "APIs" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305636f292fd229cf25fe5", "title" : "Staff Data Analyst", "company" : "Polymarket", "industry" : "Operations", "salary" : { "min" : 155000.0, "max" : 215000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Staff Data Analyst in New York, adjusted for seniority, FinTech industry, and company size." }, "location" : "New York", "locations" : [ "New York" ], "timestamp" : "2026-06-16T12:07:20.981", "fingerprint" : "2922d370cab8628d0edc2e3c23edd8ad51652a268c66f8d8b9a7f8b3ace119cc", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/polymarket/76cd3f11-bb4d-41dc-beae-9327beab91e0/application", "externalId" : "76cd3f11-bb4d-41dc-beae-9327beab91e0", "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", "experienceMinYears" : 7, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL", "professionalSkills" : [ "Business fundamentals" ], "hardSkillsList" : [ "Data analysis", "Business intelligence", "KPI frameworks", "Forecasting models", "Scenario analyses" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "KPI frameworks", "level" : "intermediate" }, { "name" : "Forecasting models", "level" : "intermediate" }, { "name" : "Scenario analyses", "level" : "intermediate" } ], "majorSkills" : "Data analysis, Business intelligence, Reporting", "majorSkillsList" : [ "Data analysis", "Business intelligence", "Reporting" ], "coreResponsibilities" : "Own executive and board-level reporting, Monitor business performance daily, Surface trends and anomalies, Run deep-dive analyses, Identify what's working, Evaluate impact of product launches, Translate results into recommendations, Build forecasting models, Build scenario analyses, Partner with Product, Partner with Finance, Partner with Growth, Partner with Engineering, Align on metric definitions, Improve reporting systems, Reduce manual work", "teamCollaboration" : "Partner with Product; Partner with Finance; Partner with Growth; Partner with Engineering", "domainKnowledge" : "Core business fundamentals; Acquisition; Retention; Order size; Monetization", "domainList" : [ "core-business-fundamentals", "acquisition", "retention", "order-size", "monetization" ], "domainSpecificKnowledge" : [ "Core business fundamentals", "Acquisition", "Retention", "Order size", "Monetization" ], "communicationSkills" : "Communicate findings clearly; Present findings with conviction", "problemSolvingSkills" : "Digging into raw data; Forming a point of view", "qualificationsBasic" : "7+ years of experience in data analysis or business intelligence, SQL skills, Experience owning business-wide reporting and KPI frameworks", "qualificationsPreferred" : "Experience in crypto, Experience in fintech, Experience in prediction markets, Experience in data-intensive financial product", "workSiteFlexibility" : "Onsite", "rawDescription" : "ABOUT POLYMARKET Polymarket is the world's largest prediction market platform. We enable individuals to express views on real-world events by trading on outcomes across politics, economics, sports, culture, and current affairs. Built as a peer-to-peer marketplace with no centralized \"house,\" Polymarket aggregates diverse opinions into transparent, market-based probabilities that reflect collective expectations about the future. We're growing fast — both in terms of volume ($21B traded in 2025) and adoption as an alternative news source. Our ambition is to become a ubiquitous beacon of truth in global media and we need your help adding fuel to the fire. ABOUT THE ROLE Polymarket is looking for a Staff Data Analyst sitting within the Revenue and Strategic Insights team, reporting directly to the Head of Revenue. You'll own the analytical infrastructure that tells us how the business is actually performing — growth, liquidity, revenue, retention, market health, and everything in between. Right now, too many important questions get answered ad-hoc or inconsistently. You'll fix that. The mandate is straightforward: make sure leadership always has a clear, accurate, and timely picture of what's happening across the business — and make sure that picture is actionable. That means owning KPI frameworks, building the dashboards and reports that executives and the board rely on, and going deep when something looks off or an opportunity is hiding in the data. This is not a support role. You will be expected to come with findings, not just outputs. Polymarket moves fast and the data environment reflects that. You'll be working across a mix of structured and messy data, building analysis from the ground up, and fielding high-priority questions from senior leadership on tight timelines. If you like having a clear problem statement handed to you, this probably isn't the right fit. If you like digging into raw data, forming a point of view, and presenting it with conviction, read on. WHAT YOU'LL DO - Own executive and board-level reporting, including business reviews, KPI dashboards, and recurring performance summaries that give leadership a reliable source of truth on growth, volume, revenue, and retention - Monitor business performance daily and proactively surface trends, anomalies, and risks before leadership has to ask — with clear context on what's driving them and what to do about it - Run deep-dive analyses on user behavior, trading activity, market performance, and revenue drivers to identify what's working, what isn't, and where the biggest opportunities are - Evaluate the impact of product launches, pricing changes, marketing campaigns, and liquidity programs on key business outcomes, and translate results into clear recommendations - Build forecasting models and scenario analyses to support planning cycles, investment decisions, and resource allocation across the business - Partner with Product, Finance, Growth, and Engineering to align on metric definitions, priorities, and how analytical work connects to business decisions - Improve the systems and processes behind how we report, reducing manual work and making it easier to automatically surface the insights that matter most WHAT WE'RE LOOKING FOR - 7+ years of experience in data analysis or business intelligence, with a track record of working directly with senior stakeholders - Strong SQL skills — you can take raw, complex data and turn it into clean, reliable analysis without needing someone to prep it for you - Experience owning business-wide reporting and KPI frameworks, not just contributing to them - Solid understanding of core business fundamentals — acquisition, retention, order size, monetization — so your analysis comes with real context and your recommendations actually land - Ability to communicate findings clearly and concisely to executives — you write and present in a way that builds confidence, not confusion - High attention to detail — you check your work, and then you check it again, because you know that a number error in a board deck has consequences - (Plus) Experience in crypto, fintech, prediction markets, or another data-intensive financial product BENEFITS - Competitive salary & equity - Unlimited PTO - Full Health, Vision, & Dental coverage - 401k match - Hardware setup: new MacBook Pro, big display, & accessories", "summaryDescription" : "Staff Data Analyst at Polymarket. Skills: Data analysis, Business intelligence, Reporting. Own executive and board-level reporting. Monitor business performance daily", "createdAt" : "2026-06-16T00:31:54.905", "lastUpdated" : "2026-06-16T12:07:20.981", "ingestTimestamp" : "2026-06-16T00:31:54.905", "mongoId" : "6a305636f292fd229cf25fe5", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 155000, "salaryAnnualMax" : 215000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Business intelligence", "KPI frameworks", "Forecasting models", "Scenario analyses", "Reporting", "Business fundamentals", "Core business fundamentals", "Acquisition", "Retention", "Order size", "Monetization" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "FinTech", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305a9af292fd229cf533f1", "title" : "Senior Data Analyst", "company" : "Precision Medicine Group", "industry" : "Healthcare", "salary" : { "min" : 1500000.0, "max" : 2500000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data Analyst in India, adjusted for seniority, healthcare industry, and company size." }, "location" : "India", "locations" : [ "India" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T07:03:56.862", "fingerprint" : "de6b96419d27a2f53d0408c9556d44699beeea5a14b90f07b43808a92d06f360", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/precisionmedicinegroup/jobs/6019622004", "externalId" : "6019622004", "industryFunction" : { }, "structuredLocations" : [ { "country" : "India", "continent" : "as", "workMode" : "onsite" } ], "locationText" : "India", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, S3, Glue, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio", "professionalSkills" : [ "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Data modelling" ], "hardSkillsList" : [ "Statistical methods", "Machine learning", "Data modelling" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data modelling", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, ML/AI, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "ML/AI", "Business intelligence" ], "coreResponsibilities" : "Develop and implement data science models, Build and maintain data pipelines, Design and deploy ML/AI solutions, Create and manage BI dashboards, Perform quantitative analysis, Engineer data solutions, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Precision medicine", "domainList" : [ "precision-medicine" ], "domainSpecificKnowledge" : [ "Precision medicine" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "communicationSkills" : "Present findings; Communicate insights", "documentationSkills" : "Document processes; Document models", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "5+ years experience, Bachelor's degree, SQL proficiency", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification, Specific ML framework experience", "remoteFriendly" : false, "rawDescription" : "Role Summary We are seeking a motivated, experienced Senior Data Analyst who will lead analytics efforts around Oncology patient journey, line of therapy (LoT) and structured claims/patient data. The successful candidate will transform large claims datasets into insights that shape strategic decisions for our clients. Key Responsibilities Lead and execute analytics projects focused on patient-journey and line-of-therapy mapping, Brand analytics. Analyze structured claims and patient datasets such as DRG, IQVIA, McKesson, Symphony claims. Conduct exploratory data analysis (EDA) to assess treatment patterns, pathways and utilization. Support HEOR/HCRU analyses including prevalence, burden, incidence and cost-of-illness studies. Develop and present client-facing insights using dashboards, PowerPoint and visual analytics. Build and optimise SQL queries, pipelines; use Excel and Python for automation and analysis. Collaborate with HEOR, market-access, strategy and engineering teams. Ability to gather requirements, articulate approach, timeline and execution with key stakeholders are of equal importance. Ensure data integrity, governance, documentation and reproducibility. Independently manage workload, communicate progress and drive project delivery. Required Qualifications Minimum 5 years’ experience, with 3+ years in relevant analytics roles. Bachelor’s/Master’s in Computer Science, Electronics, Pharmacy, Life Sciences, Data Science, Statistics or related field. Prior Experience with structured datasets: DRG, Symphony, IQVIA, McKesson. Strong proficiency in SQL, Python, Excel, PowerPoint. Experience in Pharma/life-science consulting or analytics agencies. Exposure to RWE sources including EHR/EMR, CMS datasets. Understanding of LoT frameworks, treatment guidelines and market-access structures. Preferred / Nice to Haves Working knowledge of Python and visualisation tools (Power BI, Tableau). understanding of data modeling and statistical techniques. Client-facing experience with ability to translate analytics into business insights. Therapy-area familiarity (oncology, immunology, rare diseases). Experience conducting stakeholder workshops or building interactive dashboards. Experience working with global teams and multi-geography datasets. Any data provided as a part of this application will be stored in accordance with our Privacy Policy. For CA applicants, please also refer to our CA Privacy Notice. Precision Medicine Group is an Equal Opportunity Employer. Employment decisions are made without regard to race, color, age, religion, sex, sexual orientation, gender identity, national origin, disability, veteran status or other characteristics protected by law. If you are an individual with a disability and require a reasonable accommodation to complete any part of the application process or are limited in the ability or unable to access or use this online application process and need an alternative method for applying, you may contact Precision Medicine Group at QuestionForHR@precisionmedicinegrp.com. It has come to our attention that some individuals or organizations are reaching out to job seekers and posing as potential employers presenting enticing employment offers. We want to emphasize that these offers are not associated with our company and may be fraudulent in nature. Please note that our organization will not extend a job offer without prior communication with our recruiting team, hiring managers and a formal interview process.", "summaryDescription" : "Senior Data Analyst at Precision Medicine Group. Skills: Data science, Data engineering, ML/AI, Business intelligence. Develop and implement data science models. Build and maintain data pipelines", "postedDate" : "2026-06-15T23:25:34.608", "createdAt" : "2026-06-15T23:25:34.608", "lastUpdated" : "2026-06-16T07:03:56.862", "ingestTimestamp" : "2026-06-15T23:25:34.608", "mongoId" : "6a305a9af292fd229cf533f1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical methods", "Machine learning", "Data modelling", "Data science", "Data engineering", "ML/AI", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Precision medicine", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker", "Metabase", "Superset", "Qlik", "MicroStrategy" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2c7ae774d8ee00a0947551", "title" : "Data Analyst", "company" : "Gotion, Inc.", "salary" : { "min" : 65000.0, "max" : 70000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Manteno, Illinois, United States", "locations" : [ "Manteno", "Illinois", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:50:47.946", "fingerprint" : "ee4ca9cb65277b55bfdc60d10954637dc85bc5c51739773fb94c910bf70a74ad", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/gotion/jobs/8282912002", "externalId" : "8282912002", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Fremont", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5482697,-121.9885710" } ], "locationText" : "Fremont, California, United States", "employmentType" : "FULL_TIME", "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, Tableau, Power BI, Looker", "professionalSkills" : [ "Quantitative analysis", "Statistical modeling", "Machine learning", "Business intelligence", "Data engineering", "Analytics engineering" ], "hardSkillsList" : [ "Data modeling", "ETL development", "Data warehousing", "Statistical analysis", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL development", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Regression analysis", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data science, Data engineering, Machine learning, Business intelligence", "majorSkillsList" : [ "Data science", "Data engineering", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Develop and maintain data pipelines, Build and deploy machine learning models, Design and implement BI dashboards, Perform statistical analysis, Conduct A/B testing, Collaborate with stakeholders, Ensure data quality, Optimize data infrastructure", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience, Bachelor's degree in Statistics, Computer Science, Mathematics, or related quantitative field, Proficiency in SQL", "qualificationsPreferred" : "PhD preferred, Experience with specific ML frameworks, Cloud platform certifications", "remoteFriendly" : false, "rawDescription" : "Gotion Inc. is based in Silicon Valley, CA, currently building a Manufacturing facility in Manteno, IL and has R&D centers in Ohio, China, Japan and Europe. We innovate in the next generation electric vehicle and energy storage technologies (lithium batteries and related systems) with the aim to accelerate electrified transportation and achieve sustainable development. Gotion is powered by a leading power battery technology company that provides solutions for vehicles including the world's first mass commercial e-bus route. Gotion is a career destination - we are not simply attempting to just fill another job, but to pursue a dream of global green energy together! We offer outstanding opportunities to individuals seeking an exciting and challenging working environment. Everyone is highly valued and plays a vital role in the growth of our organization. About The Team The Product Development Team at Gotion Illinois New Energy Inc. focuses on the design and development of advanced battery products for next-generation energy storage system (ESS) and electric vehicle (EV) applications. We lead the full product development cycle, integrating mechanical, electrical, thermal, and control system to create high-performance battery solutions, along with comprehensive system integration, validation, and certification activities. Role Summary We are looking for two Data Analyst to join our team in Fremont, CA. This is an exciting opportunity for students or recent graduates who are passionate about data processing, analytics, and AI-driven insights. You will work on real-world projects, helping to transform raw data into actionable intelligence. Key Responsibilities Collect, clean, and preprocess large datasets from various sources. Restructure and organize data to ensure consistency and usability. Perform feature engineering to enhance data models for machine learning applications. Collaborate with data scientists and engineers to support ongoing projects. Assist in developing and optimizing data pipelines. Generate reports and visualizations to communicate insights effectively. Qualifications Currently pursuing or recently completed a degree in Data Science, Computer Science, Statistics, or a related field. Strong proficiency in Python and experience with libraries such as Pandas, NumPy, and Scikit-learn. Familiarity with SQL and database management. Basic understanding of machine learning concepts and feature engineering. Strong analytical and problem-solving skills. Ability to work independently and in a team environment. Preferred Qualifications Experience with implementing machine learning in industry is a plus. Knowledge of lithium-ion battery technology is good to have. Experience with cloud platforms like AWS, GCP, or Azure. Knowledge of data visualization tools such as Tableau or Matplotlib. Prior experience with big data frameworks (e.g., Spark) is a plus. The US base salary range for this full-time position is $65,000.00 - $70,000.00 + 15% bonus + benefits. Our salary ranges are determined by role, level, and location. The range displayed on each job posting reflects the minimum and maximum target salaries for the position across all US locations. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training. Your recruiter can share more about the specific salary range for your preferred location during the hiring process. Gotion Inc. is proud to be an equal opportunity employer. We are dedicated to fostering a diverse workforce that reflects the communities we serve, cultivating a culture of inclusion and belonging, and ensuring equal employment opportunities for all. We provide equal opportunity to all individuals regardless of race, creed, color, religion, gender, sexual orientation, gender identity or expression, national origin, disability, age, genetic information, veteran status, marital status, pregnancy or related conditions (including breastfeeding), parental status, criminal histories consistent with legal requirements, or any other characteristic protected by law. At Gotion Inc., we strive to create an environment where everyone feels valued, respected, and empowered to thrive.", "summaryDescription" : "Data Analyst at Gotion, Inc.. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and maintain data pipelines. Build and deploy machine learning models", "postedDate" : "2026-06-14T19:11:49.487", "createdAt" : "2026-06-14T19:11:49.487", "lastUpdated" : "2026-06-16T01:50:47.946", "ingestTimestamp" : "2026-06-14T19:11:49.487", "mongoId" : "6a2c7ae774d8ee00a0947551", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 65000, "salaryAnnualMax" : 70000, "salaryBand" : "50k-75k", "hasSalary" : true, "allSkills" : [ "Data modeling", "ETL development", "Data warehousing", "Statistical analysis", "Regression analysis", "Classification", "Clustering", "Time-series analysis", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Quantitative analysis", "Statistical modeling", "Analytics engineering", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 39, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a30588bf292fd229cf42f15", "title" : "Data & Reporting Analyst", "company" : "Bosun", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Reporting Analyst in Beaufort, United States, adjusted for the logistics industry and full-time onsite work." }, "location" : "Beaufort, SC", "locations" : [ "Beaufort", "SC" ], "timestamp" : "2026-06-16T06:20:20.926", "fingerprint" : "d36a9afdd959cb4b161a018c6917cbebbb7d0efa95fe3e7a642afe5629e59d4f", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://bosun-25f9d5ec70da.breezy.hr/p/7655bd51a1a3-data-reporting-analyst-sql-power-bi-excel-in-office-mid-level", "externalId" : "7655bd51a1a3", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Beaufort", "state" : "South Carolina", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "32.3850708,-80.6923169" } ], "locationText" : "Beaufort, South Carolina, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 2, "experienceMaxYears" : 5, "experienceLevel" : "Mid", "technicalSkills" : "SQL, Power BI, Excel", "hardSkillsList" : [ "Data reporting", "Analytics", "System integrations" ], "hardSkills" : [ { "name" : "Data reporting", "level" : "intermediate" }, { "name" : "Analytics", "level" : "intermediate" }, { "name" : "System integrations", "level" : "intermediate" } ], "majorSkills" : "Data reporting, Analytics, System integrations", "majorSkillsList" : [ "Data reporting", "Analytics", "System integrations" ], "coreResponsibilities" : "Support data reporting, Support analytics, Support system integrations, Build dashboards", "toolProficiency" : [ "SQL", "Power BI", "Excel" ], "qualificationsBasic" : "SQL proficiency, Power BI experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Data Analyst Bosun is partnering with a client to hire a Data & Reporting Analyst to support data reporting, analytics, and system integrations. This position is ideal for a data analyst or business intelligence professional with strong SQL and Power BI experience who enjoys building dashboards", "summaryDescription" : "Data & Reporting Analyst at Bosun. Skills: Data reporting, Analytics, System integrations. Support data reporting. Support analytics", "createdAt" : "2026-06-15T22:12:17.760", "lastUpdated" : "2026-06-16T06:20:20.926", "ingestTimestamp" : "2026-06-15T22:12:17.760", "mongoId" : "6a30588bf292fd229cf42f15", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 75000, "salaryAnnualMax" : 105000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data reporting", "Analytics", "System integrations", "SQL", "Power BI", "Excel" ], "skillCount" : 6, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Logistics", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306a7bf292fd229cfcc996", "title" : "Clinical Data Analyst", "company" : "Arthur Grand Technologies Inc", "industry" : "Information Technology And Services", "salary" : { "min" : 75000.0, "max" : 105000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Clinical Data Analyst in Richmond, United States, adjusted for the healthcare industry and contract employment type." }, "location" : "Richmond, VA, United States", "locations" : [ "Richmond", "VA", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T08:41:03.850", "fingerprint" : "e9b3a1348029e7c7279e61f54ba6663ab72465d766908a28153b147d70490b07", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/ArthurGrandTechnologiesInc/744000132237009-clinical-data-analyst", "externalId" : "744000132237009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Richmond", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.5385087,-77.4342800" } ], "locationText" : "Richmond, Virginia, United States", "employmentType" : "CONTRACT", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "mid", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, AWS, SageMaker, Athena, GCP, Vertex AI, Azure, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Statistical modeling" ], "hardSkillsList" : [ "Data modeling", "ETL processes", "Data warehousing", "Statistical analysis", "Machine learning algorithms", "Data visualization", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "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 Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Develop and implement data pipelines, Build and maintain data models, Perform complex data analysis, Create and manage BI dashboards, Develop and deploy machine learning models, Optimize data infrastructure, Collaborate with stakeholders, Ensure data quality and integrity, Stay updated on emerging technologies", "teamCollaboration" : "Cross-functional teams; Stakeholders", "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Tableau", "Power BI", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow" ], "problemSolvingSkills" : "Data analysis; Troubleshooting", "qualificationsBasic" : "5+ years of experience in data analytics, 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", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) Title of Position:Clinical Data Analyst – Req ID 805128 Location: 6900 Atmore Road,, Richmond, VA.- Onsite Duration: Long Term Employment: Contract Rate: $Negotiable Interview type: Either In-Person OR Video Interview Clinical Operations Informatics Specialist Looking to translate between medical staff, the Electronic Health Record system, and clinical data needs. Skill * Experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary * Experience pulling data out of electronic health record systems * Experience validating EHR data through triangulation with other data within the EHR * Experience documenting workflows from clinical practice into EHR data entry and data management * Ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership Job Description: The role supports workflow improvement, clinical data analysis, and validation work that informs practice and decision making across Health Services. This is a clinical facing role with a work focus on clinical practice and end user experience. They will work closely with the Health Services EHR team and alongside the technical teams responsible for EHR configuration and development. Knowledge, Skills, Abilities or Competencies: Minimum: * Demonstrated experience in independently structuring unclassified medical data from unstructured texts and mapping data elements to standard vocabulary, enabling interoperability, clinical decision support, coding, and data analytics. * Deep understanding of medical vocabularies from both a clinical viewpoint and informatics perspective. * Extensive experience pulling data out of electronic health record systems * Demonstrated experience answering clinical questions into analysis of data from an electronic health record system. * Demonstrated experience validating EHR data with outside data sources * Demonstrated experience validating EHR data through triangulation with other data within the EHR * Demonstrated experience documenting workflows from clinical practice into EHR data entry and data management * Extensive experience with applying national EHR standards to an EHR product. * Demonstrated experience standardizing processes around an EHR implementation. * Demonstrated experience analyzing and documenting clinical workflows in a multidisciplinary care setting * Demonstrated ability to communicate clinical and data findings clearly to non-technical audiences including medical staff and leadership * Experience working in a multidisciplinary clinical environment with multiple stakeholder groups Additional Considerations: * Clinical or medical background (nursing, medicine, pharmacy, or similar) preferred * Correctional or institutional healthcare experience desired; experience in other constrained, multidisciplinary clinical environments may substitute * Experience with EHR systems in a clinical capacity required Core Duties: 1. Clinical workflow documentation * Documenting current workflows, identifying gaps, supporting staff-facing improvements, and contributing to standardization across state facilities. Establish documented inventory of HSU clinical workflows in EHR with prioritized improvement recommendations. 2. Data extraction, analysis and visualization * Pulling data from the EHR to answer clinical and operational questions and validating it against reliable data sets. Building reporting that informs practice, and otherwise visualizing data that supports leadership decision-making with evidence. Establish practice for clinical data extraction and reporting with some completed reports answering live HSU questions. 3. Validation and testing * Validation of EHR updates from user perspective view. Consistent testing coverage of the base system in addition to support for MAR and related project components. Establish documented reduction in validation gaps on EHR changes. 4. Direct support to medical staff * Acting as a clinical point of contact for EHR-related questions and requests, with responsiveness as an explicit value. Successful handoff of documentation and established processes for continuity of work About Arthur Grand Arthur Grand is an IT services firm specializing in Digital Transformation initiatives for Federal, Commercial, State & local customers. Since 2012, Arthur Grand has been successfully supporting and delivering IT services to our customers in the areas of enterprise modernization and transformation with a core focus on emerging technologies including Cloud Solutions (AWS, Azure), Agile Development, Custom Programming, Full Stack Development, DevOps, DevSecOps, CI/CD, Web Development, Mobile APP Development, Data Visualization, Data Warehousing, Financial/ERP System Implementation and Infrastructure Management. Arthur Grand’s culture of delivery excellence, combined with a commitment to bring the best talent to provide services, has earned our company an unparalleled reputation for delivering transformative results. We are a minority-owned staff augmentation and technology consulting company To keep our valued employees, we need to keep them engaged in challenging, interesting work, offer market-relevant benefits, and provide continued opportunities for professional growth. Please send your resume for immediate consideration If you are interested in the above opportunity, we warmly invite you to join our team. Arthur Grand Technologies is an Equal Opportunity Employer (including disability/vets) ## Qualifications Clinical Operations Informatics Specialist Looking to translate between medical staff, the Electronic Health Record system, and clinical data needs. ## Additional Information All your information will be kept confidential according to EEO guidelines.", "summaryDescription" : "Clinical Data Analyst at Arthur Grand Technologies Inc. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data pipelines. 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AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com. #LI-Remote", "summaryDescription" : "Lifecycle Management SME at AppDirect. Drive revenue growth. 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AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com. #LI-Remote", "summaryDescription" : "Lifecycle Management SME at AppDirect. Drive revenue growth. 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AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. 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AppDirect offers a subscription commerce platform to sell any product, through any channel, on any device - as a service. We power millions of subscriptions worldwide for organizations. We do this by our values-driven culture—one that enables you to Be Seen, Be Yourself, and Do Your Best Work. About vCom, an AppDirect Subsidiary vCom is a cloud-based software and managed services company focused on helping enterprises simplify and better manage every phase of their IT lifecycle. Our growth, innovation, and strong customer relationships are driven by our incredible employees who thrive on delivering amazing outcomes for our customers and team members. vCom has been recognized as a \"Best Place to Work\" in the SF Bay Area for 15 consecutive years. About You You are a growth-oriented sales professional with a strong sense of accountability and a collaborative mindset. You bring a consultative approach to customer engagement, along with a solid understanding of technology and SaaS environments. You are skilled at connecting customer goals to meaningful business outcomes and can clearly articulate complex concepts to both technical and executive audiences. You listen carefully, ask thoughtful questions, and translate customer needs into compelling value propositions. You are self-motivated, resourceful, and proactive in building relationships and expanding partnerships. You thrive in dynamic environments and are energized by the opportunity to influence strategy, drive pipeline growth, and help customers solve complex business challenges. What you’ll do and how you’ll have an impact Drive revenue by identifying, qualifying, and advancing new business opportunities across the Traditional Partner Channel, the AppDirect Ecosystem, and direct referral sources; Build consultative relationships with prospective clients to uncover business requirements and recommend tailored solutions leveraging vCom services and the vManager platform; Demonstrate sales leadership throughout the full sales cycle, guiding stakeholders through complex challenges and helping move opportunities toward resolution; Develop expertise in vCom’s value proposition by completing vManager platform training and certification and serving as a trusted subject matter expert; Lead daily execution of sales POD activities, manage pipeline health, and maintain accurate forecasting and funnel performance visibility; Evaluate and apply effective sales methodologies and processes to support strategic business objectives and drive consistent performance. What we’re looking for 5+ Years of Channel Experience selling through partnership 5+ years of experience in technology or SaaS sales, with a proven track record of driving results and closing new business; Bachelor’s degree in a relevant field preferred; Ability to engage credibly with technical professionals, business stakeholders, and executive decision-makers; Strong organizational and time management skills, with experience managing complex, multi-stakeholder sales cycles; Excellent communication, presentation, and relationship-building skills; A proactive, team-oriented mindset with the ability to work effectively in a distributed environment; Authorization to work in the United States. Why join vCom Values-Driven Culture: We are committed to transparency, authenticity, and professional vulnerability; Flexible Work: Join a distributed team using advanced tools to stay connected and productive; Growth Opportunities: Build your career through customized career paths and professional development; Community Impact: Receive 8 hours of paid volunteer time annually to support community organizations; Wellness Support: Access competitive programs that support physical, mental, and financial well-being. At AppDirect, we believe that innovation thrives in an environment that houses diversity of excellence, experience and thought. We respect each AppDirector as their own fingerprint; unique with no one alike. We foster an environment of inclusion without regard to race, religion, age, sexual orientation, or gender identity enabling AppDirectors to embrace their uniqueness to do their best work. As such, we strongly encourage applications from Indigenous peoples, racialized people, people with disabilities, people from gender and sexually diverse communities, and/or people with intersectional identities. At AppDirect we take privacy very seriously. For more information about our use and handling of personal data from job applicants, please read our Candidate Privacy Policy. For more information of our general privacy practices, please see AppDirect Privacy Notice: https://www.appdirect.com/about/privacy-notice At AppDirect, AI tools may assist our recruitment team with administrative automations — always under human oversight. AI tools do not make hiring decisions or solely automated decisions about your candidacy – all decisions are made by our people. By submitting your application, you acknowledge that your information may be processed in this way. You may request access or deletion at any time by contacting privacy@appdirect.com. #LI-Remote", "summaryDescription" : "Lifecycle Management SME at AppDirect. Drive revenue growth. Manage sales pipeline", "postedDate" : "2026-06-15T23:23:01.156", "createdAt" : "2026-06-15T23:23:01.156", "lastUpdated" : "2026-06-16T10:39:11.641", "ingestTimestamp" : "2026-06-15T23:23:01.156", "mongoId" : "6a306061f292fd229cf8bbc7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3051f8f292fd229cf09dcb", "title" : "Power Apps SME", "company" : "Accenture Federal Services", "salary" : { "min" : 145000.0, "max" : 195000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Power Apps SME in Arlington, United States, adjusted for Accenture Federal Services' size and industry." }, "location" : "Arlington, Virginia, United States", "locations" : [ "Arlington", "Virginia", "United States" ], "timestamp" : "2026-06-16T06:47:14.723", "fingerprint" : "a84c426254e8c786fc181efd752bff6490691c5cad35ef38e5f1dc7466552bd5", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://boards.greenhouse.io/accenturefederalservices/jobs/4689496006?gh_jid=4689496006", "externalId" : "4689496006", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" } ], "locationText" : "Arlington, Virginia, United States", "rawDescription" : "At Accenture Federal Services, nothing matters more than helping the US federal government make the nation stronger and safer and life better for people. Our 13,000+ people are united in a shared purpose to pursue the limitless potential of technology and ingenuity for clients across defense, national security, public safety, civilian, and military health organizations. Join Accenture Federal Services, a technology company within global Accenture. Recognized as a Glassdoor Top 100 Best Place to Work, we offer a collaborative and caring community where you feel like you belong and are empowered to grow, learn and thrive through hands-on experience, certifications, industry training and more. Join us to drive positive, lasting change that moves missions and the government forward! The Work: As a PowerApps SME, you will play a pivotal role in designing and developing advanced solutions using PowerApps, with a particular focus on building model-driven applications and architecting Dataverse environments. You will be responsible for leading solutioning discussions with clients, ensuring that their business needs are met through innovative automation and modernization strategies. Your day-to-day work will involve collaborating with cross-functional teams, providing technical guidance to fellow developers, and driving the successful implementation of Power Platform solutions. You will also be expected to demonstrate strong executive presence, effectively communicating complex concepts to both technical and non-technical stakeholders. Responsibilities include: Develop and implement PowerBI reports, dashboards, semantic models, and architecture for data visualization and reporting Create and manage Power Automate workflows to drive automation and process improvement Facilitate solutioning discussions with clients, demonstrating strong executive presence Provide technical guidance and mentorship to other developers on the team Collaborate effectively as a team player, fostering a supportive and innovative environment Drive modernization initiatives and encourage creative thinking within the team. Develop custom C# Dataverse plug-ins for application extensibility Develop PCF controls and front-end frameworks using JavaScript or TypeScript to extend form processing behaviors. Lead the design and development of PowerApps solutions, including model-driven applications Architect and set up Dataverse environments to support business needs Develop and use CI/CD pipelines through either PowerApps Pipelines or Azure DevOps pipelines. Here’s What You Need: Hands-on experience with PowerApps development, Power Automate and PowerBI architecture. Familiarity with setting up and optimizing Dataverse, as well as a proven ability to architect scalable and secure solutions Exposure to process automation, data integration, and creative problem-solving Familiarity with the PAC CLI and its use in environment and solution management. Familiarity with the Power Platform Admin Center to manage environments. Familiarity with Azure DevOps branching, merging and related SDLC tools related to the Power Platform. Power Platform Fundamentals (PL-900), Power Platform Developer Associate (PL-400), and Power Platform Solution Architect (PL-600) certifications Eligibility Requirements: U. S. Citizenship required As required by local law, Accenture Federal Services provides reasonable ranges of compensation for hired roles based on labor costs in the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland. The base pay range for this position in these locations is shown below. Compensation for roles at Accenture Federal Services varies depending on a wide array of factors, including but not limited to office location, role, skill set, and level of experience. Accenture Federal Services offers a wide variety of benefits. You can find more information on benefits here. We accept applications on an on-going basis and there is no fixed deadline to apply. The pay range for the states of California, Colorado, Hawaii, Illinois, Maryland, Massachusetts, Minnesota, New Jersey, New York, Washington, Vermont, the District of Columbia, and the city of Cleveland is: $100,200—$203,400 USD What We Believe As a company wholly dedicated to serving the US federal government, we bring together the best talent to help reinvent how federal agencies operate and deliver greater value for their mission and the American people. We have an unwavering commitment to creating a culture in which all our people are respected, feel a sense of belonging, and have equal opportunity. As a business imperative, every person at Accenture Federal Services has the responsibility to create and sustain a culture where everyone feels welcomed and included. This is grounded in our core values and our experience that hiring and developing great people who reflect different perspectives, experiences, and backgrounds is key to driving innovation and delivering the results that our clients and the country count on. Equal Employment Opportunity Statement We believe that no one should be discriminated against because of their differences. All employment decisions shall be made without regard to age, race, creed, color, religion, sex, national origin, ancestry, disability status, veteran status, sexual orientation, gender identity or expression, genetic information, marital status, citizenship status or any other basis as protected by federal, state, or local law. Our rich diversity makes us more innovative, more competitive, and more creative, which helps us better serve our clients and our communities. For details, view a copy of the Accenture Federal Services Equal Opportunity Policy Statement. Accenture Federal Services is an Equal Employment Opportunity employer. Additionally, as an Affirmative Action Employer for Veterans and Individuals with Disabilities, Accenture Federal Services is committed to providing veteran employment opportunities to our service men and women. Requesting An Accommodation Accenture Federal Services is committed to providing equal employment opportunities for persons with disabilities or religious observances, including reasonable accommodation when needed. If you are hired by Accenture Federal Services and require accommodation to perform the essential functions of your role, you will be asked to participate in our reasonable accommodation process. Accommodations made to facilitate the recruiting process are not a guarantee of future or continued accommodations once hired. If you are being considered for employment opportunities with Accenture Federal Services and need an accommodation for a disability or religious observance during the interview process or for the job you are interviewing for, please speak with your recruiter. Other Employment Statements Applicants for employment in the US must have work authorization that does not now or in the future require sponsorship of a visa for employment authorization in the United States. Candidates who are currently employed by a client of Accenture Federal Services or an affiliated Accenture business may not be eligible for consideration. Job candidates will not be obligated to disclose sealed or expunged records of conviction or arrest as part of the hiring process. The Company will not discharge or in any other manner discriminate against employees or applicants because they have inquired about, discussed, or disclosed their own pay or the pay of another employee or applicant. Additionally, employees who have access to the compensation information of other employees or applicants as a part of their essential job functions cannot disclose the pay of other employees or applicants to individuals who do not otherwise have access to compensation information, unless the disclosure is (a) in response to a formal complaint or charge, (b) in furtherance of an investigation, proceeding, hearing, or action, including an investigation conducted by the employer, or (c) consistent with the Company's legal duty to furnish information. California requires additional notifications for applicants and employees. If you are a California resident, live in or plan to work from Los Angeles County upon being hired for this position, please click here for additional important information.", "summaryDescription" : "Power Apps SME at Accenture Federal Services", "postedDate" : "2026-06-15T23:16:54.445", "createdAt" : "2026-06-15T23:16:54.445", "lastUpdated" : "2026-06-16T06:47:14.723", "ingestTimestamp" : "2026-06-15T23:16:54.445", "mongoId" : "6a3051f8f292fd229cf09dcb", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145000, "salaryAnnualMax" : 195000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Senior", "dataQualityScore" : 0.6666667, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 } ], "status" : 200, "message" : "non us capability data acquisition sme functional area analyst iv jobs", "metadata" : { "title" : "non us capability data acquisition sme functional area analyst iv" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 46711, "totalPages" : 935, "hasNext" : true, "hasPrevious" : false } }

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