{ "count" : 162293, "data" : [ { "id" : "6a0a2dee1663d49372bc1612", "title" : "Healthcare Analytics – Payor/Provider Finance Data and AI, Managed Care Contracting & Optimization", "company" : "Guidehouse", "industry" : "Healthcare", "salary" : { "min" : 102000.0, "max" : 170000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US - IL, Chicago", "locations" : [ "US - IL, Chicago", "United States of America" ], "timestamp" : "2026-05-18T04:14:16.102", "fingerprint" : "b45633621d301c4dd5d5739b521c28536324efd5d5863e521df9cf490741b17b", "source" : "workday", "language" : "en", "applyUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---IL-Chicago/Healthcare-Analytics---Payor-Provider-Finance-Data-and-AI--Managed-Care-Contracting---Optimization_35052", "externalId" : "35052", "industryFunction" : { }, "locationPoint" : "41.85003,-87.65005", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", 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"Discrepancy resolution", "level" : "intermediate" }, { "name" : "Version control", "level" : "intermediate" }, { "name" : "Automated testing", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Detail oriented" }, { "name" : "Self-directed" }, { "name" : "Collaborative teammate" }, { "name" : "Comfortable leading workstreams" } ], "majorSkills" : "Healthcare analytics, Managed care contracting, Data modeling, SQL, Python, ETL/ELT, BI tools (Power BI/Tableau)", "majorSkillsList" : [ "Healthcare analytics", "Managed care contracting", "Data modeling", "SQL", "Python", "ETL/ELT", "BI tools (Power BI/Tableau)" ], "coreResponsibilities" : "Interpret payer contracts, Model reimbursement terms, Enhance modeling tools with automation, Validate modeled results, Investigate and resolve discrepancies, Maintain a controlled library of contract models, Build/optimize ETL/ELT pipelines, Implement QA/validation checks, Automate contract lookups, grouper logic, case mix normalization, and variance analytics using SQL, Use Python for parsing artifacts, applying calculation engines, regression/variance checks, and generating validation reports, Develop BI dashboards for contract performance, Present findings connecting contract mechanics to RCM KPIs, Align interpretation, data sources, and operationalization with stakeholders, Support pursuits showcasing contract modeling capabilities, Enhance contract modeling tooling, Contribute reusable assets, Uphold SDLC/Agile practices and code review standards", "teamCollaboration" : "Partner with contracting, revenue integrity, and patient financial services teams; Work with Managed Care/Finance, Revenue Integrity/CDM, PFS, and IT/Data teams; Collaborative teammate", "projectManagementSkills" : [ "Comfortable leading workstreams", "Agile practices", "SDLC" ], "domainKnowledge" : "Healthcare analytics; Managed care contracting; Payer contracts (commercial and government); Reimbursement terms; Revenue cycle management; Payer/provider operations; Payment experience", "domainList" : [ "healthcare-analytics", "managed-care-contracting", "payer-contracts-commercial-and-government", "reimbursement-terms", "revenue-cycle-management", "payer-provider-operations", "payment-experience" ], "domainSpecificKnowledge" : [ "Healthcare analytics", "Managed care contracting", "Payer contracts (commercial and government)", "Reimbursement terms", "Revenue cycle management", "Payer/provider operations", "Payment experience" ], "toolProficiency" : [ "Power BI", "Tableau", "Excel", "Azure Data Factory", "Databricks", "SSIS", "Git" ], "communicationSkills" : "Excellent communication; Able to translate technical and contractual details into concise, executive-ready insights; Present findings", "documentationSkills" : "Documentation of assumptions; Documentation of reusable assets", "continuousLearning" : "Tuition Reimbursement; Personal Development & Learning Opportunities; Skills Development & Certifications", "innovationCreativity" : "Enhance our contract modeling tooling: propose schema/logic improvements, performance tuning, error handling, and test harnesses", "problemSolvingSkills" : "Root cause analysis; Investigate and resolve discrepancies", "specialRequirements" : "Travel Required: Up to 10%, Clearance Required: None", "outcomesObjectives" : "Measurable healthcare financial performance; Ensure modeled rates and rules align with contract language and adjudication behavior; Turn findings into clear, executive-ready recommendations; Contract performance (e.g. , allowed vs. expected, underpayment/overpayment detection, denial patterns, yield by payer/product); Connect contract mechanics to RCM KPIs (denial rate, DNFB, AR days, first pass yield, cash acceleration, net revenue)", "qualificationsBasic" : "Bachelor's degree, Minimum THREE (3) years of experience in healthcare analytics, consulting, or adjacent healthcare services with measurable data driven outcomes, Experience building production-grade ETL/ELT processes and implementing data quality frameworks, Proficiency with BI/visualization tools (Power BI or Tableau), Excel skills, Excellent communication", "qualificationsPreferred" : "Hands‑on with Azure Data Factory, Databricks, SSIS (or similar), Understanding of payer/provider operations and payment experience with contract modeling or payment variance analytics is a plus, Experience with Agile practices and Git-based version control, Experience with regulatory reporting and transparency initiatives (e.g. , CMS price transparency, charge master reviews)", "remoteFriendly" : false, "workSiteFlexibility" : "No", "rawDescription" : "**_Job Family_ :** Data Science Consulting ** _Travel Required_ :** Up to 10% **_Clearance Required_ :** None ## ** _What You’ll Do_** : The Healthcare Finance Data and AI team translates healthcare data into measurable healthcare financial performance. This role is dedicated to managed care contracting – you will learn to read payer contracts (commercial and government), model reimbursement terms in our existing tools, and enhance those tools with automation using SQL and Python. You will partner with contracting, revenue integrity, and patient financial services teams to ensure our modeled rates and rules align with contract language and adjudication behavior, and you will turn findings into clear, executive-ready recommendations. * Learn and interpret payer contracts (fee schedules, DRG/APC, per diem, percent-of-charge, case rates, carveouts, stoploss/outlier, multiple procedure reductions, modifiers, bundling/packaging rules, lesser-of logic, escalators, effective dates, term/renewal, amendments). * Translate contract terms into machine-readable logic and configure/model those terms in our existing pricing/adjudication tools. * Validate modeled results by reconciling remittance advice (835/ERA) and historical payments; investigate and resolve discrepancies with root cause analysis. * Maintain a controlled library of contract models (versioning, effective/expiry dates, audit trail, documentation of assumptions). * Build/optimize ETL/ELT pipelines to ingest fee schedules and contract artifacts; implement QA/validation checks (e.g., dimensional completeness, rate reasonableness, variance thresholds). * Use advanced SQL (window functions, CTEs, stored procedures, query tuning) to automate contract lookups, grouper logic, case mix normalization, and variance analytics. * Use Python (preferred) for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports. * Develop Power BI/Tableau dashboards for contract performance (e.g., allowed vs. expected, underpayment/overpayment detection, denial patterns, yield by payer/product). * Own analytics workstreams; present findings that connect contract mechanics to RCM KPIs (denial rate, DNFB, AR days, first pass yield, cash acceleration, net revenue). * Work with Managed Care/Finance, Revenue Integrity/CDM, PFS, and IT/Data teams to align interpretation, data sources, and operationalization. * Support pursuits (POVs, demos) showcasing our contract modeling capabilities and automation. * Enhance our contract modeling tooling: propose schema/logic improvements, performance tuning, error handling, and test harnesses. * Contribute reusable assets (SQL/Python modules, validation checklists, samples, documentation); uphold SDLC/Agile practices and code review standards. **_What You Will Need:_** * Bachelor's degree is required * Minimum THREE (3) years of experience in healthcare analytics, consulting, or adjacent healthcare services with measurable data driven outcomes (revenue cycle management exposure strongly preferred). * Experience building production-grade ETL/ELT processes and implementing data quality frameworks. * Proficiency with BI/visualization tools (Power BI or Tableau) and strong Excel skills. * Excellent communication—able to translate technical and contractual details into concise, executive-ready insights. * Detail oriented, self-directed, collaborative teammate comfortable leading workstreams. **_What Would Be Nice To Have_ :** * Hands‑on with Azure Data Factory, Databricks, SSIS (or similar). * Understanding of payer/provider operations and payment methodologies; experience with contract modeling or payment variance analytics is a strong plus (we will train on contract reading). * Experience with Agile practices and Git-based version control. * Experience with regulatory reporting and transparency initiatives (e.g., CMS price transparency, charge master reviews). #LI-DNI The annual salary range for this position is $102,000.00-$170,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. **_What We Offer_ :** Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend _**About Guidehouse**_ Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [RecruitingAccommodation@guidehouse.com](mailto:RecruitingAccommodation@guidehouse.com). All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [guidehouse@myworkday.com](mailto:guidehouse@myworkday.com). Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [recruiting@guidehouse.com](mailto:recruiting@guidehouse.com). Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. _Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._", "summaryDescription" : "Healthcare Analytics – Payor/Provider Finance Data and AI, Managed Care Contracting & Optimization at Guidehouse. Skills: Healthcare analytics, Managed care contracting, Data modeling, SQL, Python, ETL/ELT, BI tools (Power BI/Tableau). Interpret payer contracts. Model reimbursement terms", "postedDate" : "2026-04-28T00:23:57.081", "createdAt" : "2026-05-18T00:23:57.051", "lastUpdated" : "2026-05-18T04:14:16.102", "ingestTimestamp" : "2026-05-18T00:23:57.051", "mongoId" : "6a0a2dee1663d49372bc1612", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---IL-Chicago/Healthcare-Analytics---Payor-Provider-Finance-Data-and-AI--Managed-Care-Contracting---Optimization_35052", "salaryAnnualMin" : 102000, "salaryAnnualMax" : 170000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data modeling", "ETL/ELT pipeline development", "Data quality framework implementation", "BI dashboard development", "SQL query optimization", "Python scripting", "Regression analysis", "Variance analysis", "Report generation", "Contract modeling", "Payment modeling", "Data reconciliation", "Discrepancy resolution", "Version control", "Automated testing", "Detail oriented", "Self-directed", "Collaborative teammate", "Comfortable leading workstreams", "Healthcare analytics", "Managed care contracting", "SQL", "Python", "ETL/ELT", "BI tools (Power BI/Tableau)", "Reimbursement modeling", "Revenue cycle management", "Contract interpretation", "Adjudication behavior analysis", "Root cause analysis", "Contract performance analysis", "Revenue cycle management KPIs", "Payer contracts", "Commercial contracts", "Government contracts", "Fee schedules", "DRG/APC", "Per diem", "Percent-of-charge", "Case rates", "Carveouts", "Stoploss/outlier", "Multiple procedure reductions", "Modifiers", "Bundling/packaging rules", "Lesser-of logic", "Escalators", "Effective dates", "Term/renewal", "Amendments", "Remittance advice (835/ERA)", "Dimensional completeness", "Rate reasonableness", "Variance thresholds", "Grouper logic", "Case mix normalization", "Variance analytics", "Underpayment detection", "Overpayment detection", "Denial patterns", "Yield by payer/product", "RCM KPIs", "Denial rate", "DNFB", "AR days", "First pass yield", "Cash acceleration", "Net revenue", "CDM", "PFS", "POVs", "Demos", "Schema improvements", "Logic improvements", "Performance tuning", "Error handling", "Test harnesses", "SDLC", "Agile practices", "Code review standards", "Payer operations", "Provider operations", "Payment variance analytics", "Regulatory reporting", "Transparency initiatives", "CMS price transparency", "Charge master reviews", "Payer contracts (commercial and government)", "Reimbursement terms", "Payer/provider operations", "Payment experience", "Power BI", "Tableau", "Excel", "Azure Data Factory", "Databricks", "SSIS", "Git" ], "skillCount" : 98, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 20, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a0a2dee1663d49372bc1613", "title" : "Healthcare Analytics – Payor/Provider Finance Data and AI, Managed Care Contracting & Optimization", "company" : "Guidehouse", "industry" : "Healthcare", "salary" : { "min" : 89000.0, "max" : 148000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "US - IL, Chicago", "locations" : [ "US - IL, Chicago", "United States of America" ], "timestamp" : "2026-05-18T04:11:30.604", "fingerprint" : "5a8e891c7bbbb929ca9cbef8519f12871fc557b945d9f41e239cc40ea7bfa413", "source" : "workday", "language" : "en", "applyUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---IL-Chicago/Healthcare-Analytics---Payor-Provider-Finance-Data-and-AI--Managed-Care-Contracting---Optimization_36911", "externalId" : "36911", "industryFunction" : { }, "locationPoint" : "41.85003,-87.65005", "structuredLocations" : [ { "city" : "Chicago", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Chicago, Illinois, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's degree", "experienceMinYears" : 1, "experienceMaxYears" : 2, "experienceLevel" : "Entry", "technicalSkills" : "SQL, Python, ETL, ELT, Power BI, Tableau, Azure Data Factory, Databricks, SSIS, Git", "professionalSkills" : [ "Managed care contracting", "Reimbursement modeling", "Revenue cycle management", "Contract interpretation", "Root cause analysis", "SDLC/Agile practices", "Code review standards", "Regulatory reporting", "Transparency initiatives" ], "hardSkillsList" : [ "Modeling reimbursement terms", "Building/optimizing ETL/ELT pipelines", "Using advanced SQL (window functions, CTEs, stored procedures, query tuning)", "Using Python for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports", "Developing Power BI/Tableau dashboards", "Contract modeling", "Payment variance analytics" ], "softSkillsList" : [ "Self-directed", "Collaborative teammate", "Comfortable leading workstreams" ], "hardSkills" : [ { "name" : "Modeling reimbursement terms", "level" : "intermediate" }, { "name" : "Building/optimizing ETL/ELT pipelines", "level" : "intermediate" }, { "name" : "Using advanced SQL (window functions, CTEs, stored procedures, query tuning)", "level" : "intermediate" }, { "name" : "Using Python for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports", "level" : "intermediate" }, { "name" : "Developing Power BI/Tableau dashboards", "level" : "intermediate" }, { "name" : "Contract modeling", "level" : "intermediate" }, { "name" : "Payment variance analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Self-directed" }, { "name" : "Collaborative teammate" }, { "name" : "Comfortable leading workstreams" } ], "majorSkills" : "Healthcare Finance Data and AI, Managed care contracting, Reimbursement modeling, SQL, Python, ETL/ELT pipelines, Power BI/Tableau dashboards", "majorSkillsList" : [ "Healthcare Finance Data and AI", "Managed care contracting", "Reimbursement modeling", "SQL", "Python", "ETL/ELT pipelines", "Power BI/Tableau dashboards" ], "coreResponsibilities" : "Learn and interpret payer contracts, Translate contract terms into machine-readable logic and configure/model those terms in existing pricing/adjudication tools, Validate modeled results by reconciling remittance advice (835/ERA) and historical investigate and resolve discrepancies with root cause analysis, Maintain a controlled library of contract models (versioning, effective/expiry dates, audit trail, documentation of assumptions), Build/optimize ETL/ELT pipelines to ingest fee schedules and contract implement QA/validation checks, Use advanced SQL to automate contract lookups, grouper logic, case mix normalization, and variance analytics, Use Python for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports, Develop Power BI/Tableau dashboards for contract performance, Own analytics present findings that connect contract mechanics to RCM KPIs, Support pursuits (POVs, demos) showcasing contract modeling capabilities and automation, Enhance contract modeling tooling: propose schema/logic improvements, performance tuning, error handling, and test harnesses, Contribute reusable assets (SQL/Python modules, validation checklists, samples, documentation); uphold SDLC/Agile practices and code review standards", "teamCollaboration" : "Partner with contracting, revenue integrity, and patient financial services teams; Work with Managed Care/Finance, Revenue Integrity/CDM, PFS, and IT/Data teams to align interpretation, data sources, and operationalization", "projectManagementSkills" : [ "Comfortable leading workstreams" ], "domainKnowledge" : "Healthcare analytics; Managed care contracting; Payer contracts (commercial and government); Reimbursement terms; Revenue cycle management; Payer/provider operations; Payment experience with contract modeling or payment variance analytics; Regulatory reporting; Transparency initiatives", "domainList" : [ "healthcare-analytics", "managed-care-contracting", "payer-contracts-commercial-and-government", "reimbursement-terms", "revenue-cycle-management", "payer-provider-operations", "payment-experience-with-contract-modeling-or-payment-variance-analytics", "regulatory-reporting", "transparency-initiatives" ], "domainSpecificKnowledge" : [ "Healthcare analytics", "Managed care contracting", "Payer contracts (commercial and government)", "Reimbursement terms", "Revenue cycle management", "Payer/provider operations", "Payment experience with contract modeling or payment variance analytics", "Regulatory reporting", "Transparency initiatives" ], "toolProficiency" : [ "Power BI", "Tableau", "Excel", "Azure Data Factory", "Databricks", "SSIS", "Git" ], "communicationSkills" : "Excellent communication—able to translate technical and contractual details into concise, executive-ready insights", "documentationSkills" : "Documentation of assumptions; Documentation of reusable assets", "continuousLearning" : "Tuition Reimbursement, Personal Development & Learning Opportunities; Skills Development & Certifications", "innovationCreativity" : "Enhance our contract modeling tooling: propose schema/logic improvements, performance tuning, error handling, and test harnesses", "problemSolvingSkills" : "Root cause analysis; Investigate and resolve discrepancies", "specialRequirements" : "Travel Required: Up to 10%, Clearance Required: None", "outcomesObjectives" : "Translate healthcare data into measurable healthcare financial performance; Ensure modeled rates and rules align with contract language and adjudication behavior; Turn findings into clear, executive-ready recommendations; Contract performance (e.g. , allowed vs. expected, underpayment/overpayment detection, denial patterns, yield by payer/product); Connect contract mechanics to RCM KPIs (denial rate, DNFB, AR days, first pass yield, cash acceleration, net revenue)", "qualificationsBasic" : "Bachelor's degree, Minimum ONE (1) year of experience in healthcare analytics, consulting, or adjacent healthcare services with measurable data driven outcomes, Experience building production-grade ETL/ELT processes, Implementing data quality frameworks, Proficiency with BI/visualization tools (Power BI or Tableau), Excel skills, Excellent communication—able to translate technical and contractual details into concise, executive-ready insights, Detail oriented, self-directed, collaborative teammate comfortable leading workstreams", "qualificationsPreferred" : "Hands‑on with Azure Data Factory, Databricks, SSIS (or similar), Understanding of payer/provider operations and payment experience with contract modeling or payment variance analytics is a plus, Experience with Agile practices and Git-based version control, Experience with regulatory reporting and transparency initiatives (e.g. , CMS price transparency, charge master reviews)", "remoteFriendly" : false, "workSiteFlexibility" : "No", "rawDescription" : "**_Job Family_ :** Data Science Consulting ** _Travel Required_ :** Up to 10% **_Clearance Required_ :** None Job Posting ## ** _What You’ll Do_** : The Healthcare Finance Data and AI team translates healthcare data into measurable healthcare financial performance. This role is dedicated to managed care contracting – you will learn to read payer contracts (commercial and government), model reimbursement terms in our existing tools, and enhance those tools with automation using SQL and Python. You will partner with contracting, revenue integrity, and patient financial services teams to ensure our modeled rates and rules align with contract language and adjudication behavior, and you will turn findings into clear, executive-ready recommendations. * Learn and interpret payer contracts (fee schedules, DRG/APC, per diem, percent-of-charge, case rates, carveouts, stoploss/outlier, multiple procedure reductions, modifiers, bundling/packaging rules, lesser-of logic, escalators, effective dates, term/renewal, amendments). * Translate contract terms into machine-readable logic and configure/model those terms in our existing pricing/adjudication tools. * Validate modeled results by reconciling remittance advice (835/ERA) and historical payments; investigate and resolve discrepancies with root cause analysis. * Maintain a controlled library of contract models (versioning, effective/expiry dates, audit trail, documentation of assumptions). * Build/optimize ETL/ELT pipelines to ingest fee schedules and contract artifacts; implement QA/validation checks (e.g., dimensional completeness, rate reasonableness, variance thresholds). * Use advanced SQL (window functions, CTEs, stored procedures, query tuning) to automate contract lookups, grouper logic, case mix normalization, and variance analytics. * Use Python (preferred) for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports. * Develop Power BI/Tableau dashboards for contract performance (e.g., allowed vs. expected, underpayment/overpayment detection, denial patterns, yield by payer/product). * Own analytics workstreams; present findings that connect contract mechanics to RCM KPIs (denial rate, DNFB, AR days, first pass yield, cash acceleration, net revenue). * Work with Managed Care/Finance, Revenue Integrity/CDM, PFS, and IT/Data teams to align interpretation, data sources, and operationalization. * Support pursuits (POVs, demos) showcasing our contract modeling capabilities and automation. * Enhance our contract modeling tooling: propose schema/logic improvements, performance tuning, error handling, and test harnesses. * Contribute reusable assets (SQL/Python modules, validation checklists, samples, documentation); uphold SDLC/Agile practices and code review standards. **_What You Will Need:_** * Bachelor's degree is required * Minimum ONE (1) year of experience in healthcare analytics, consulting, or adjacent healthcare services with measurable data driven outcomes (revenue cycle management exposure strongly preferred). * Experience building production-grade ETL/ELT processes and implementing data quality frameworks. * Proficiency with BI/visualization tools (Power BI or Tableau) and strong Excel skills. * Excellent communication—able to translate technical and contractual details into concise, executive-ready insights. * Detail oriented, self-directed, collaborative teammate comfortable leading workstreams. **_What Would Be Nice To Have_ :** * Hands‑on with Azure Data Factory, Databricks, SSIS (or similar). * Understanding of payer/provider operations and payment methodologies; experience with contract modeling or payment variance analytics is a strong plus (we will train on contract reading). * Experience with Agile practices and Git-based version control. * Experience with regulatory reporting and transparency initiatives (e.g., CMS price transparency, charge master reviews). #LI-DNI The annual salary range for this position is $89,000.00-$148,000.00. Compensation decisions depend on a wide range of factors, including but not limited to skill sets, experience and training, security clearances, licensure and certifications, and other business and organizational needs. **_What We Offer_ :** Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace. Benefits include: * Medical, Rx, Dental & Vision Insurance * Personal and Family Sick Time & Company Paid Holidays * Position may be eligible for a discretionary variable incentive bonus * Parental Leave and Adoption Assistance * 401(k) Retirement Plan * Basic Life & Supplemental Life * Health Savings Account, Dental/Vision & Dependent Care Flexible Spending Accounts * Short-Term & Long-Term Disability * Student Loan PayDown * Tuition Reimbursement, Personal Development & Learning Opportunities * Skills Development & Certifications * Employee Referral Program * Corporate Sponsored Events & Community Outreach * Emergency Back-Up Childcare Program * Mobility Stipend _**About Guidehouse**_ Guidehouse is an Equal Opportunity Employer–Protected Veterans, Individuals with Disabilities or any other basis protected by law, ordinance, or regulation. Guidehouse will consider for employment qualified applicants with criminal histories in a manner consistent with the requirements of applicable law or ordinance including the Fair Chance Ordinance of Los Angeles and San Francisco. If you have visited our website for information about employment opportunities, or to apply for a position, and you require an accommodation, please contact Guidehouse Recruiting at 1-571-633-1711 or via email at [RecruitingAccommodation@guidehouse.com](mailto:RecruitingAccommodation@guidehouse.com). All information you provide will be kept confidential and will be used only to the extent required to provide needed reasonable accommodation. All communication regarding recruitment for a Guidehouse position will be sent from Guidehouse email domains including @guidehouse.com or [guidehouse@myworkday.com](mailto:guidehouse@myworkday.com). Correspondence received by an applicant from any other domain should be considered unauthorized and will not be honored by Guidehouse. Note that Guidehouse will never charge a fee or require a money transfer at any stage of the recruitment process and does not collect fees from educational institutions for participation in a recruitment event. Never provide your banking information to a third party purporting to need that information to proceed in the hiring process. If any person or organization demands money related to a job opportunity with Guidehouse, please report the matter to Guidehouse’s Ethics Hotline. If you want to check the validity of correspondence you have received, please contact [recruiting@guidehouse.com](mailto:recruiting@guidehouse.com). Guidehouse is not responsible for losses incurred (monetary or otherwise) from an applicant’s dealings with unauthorized third parties. _Guidehouse does not accept unsolicited resumes through or from search firms or staffing agencies. All unsolicited resumes will be considered the property of Guidehouse and Guidehouse will not be obligated to pay a placement fee._", "summaryDescription" : "Healthcare Analytics – Payor/Provider Finance Data and AI, Managed Care Contracting & Optimization at Guidehouse. Skills: Healthcare Finance Data and AI, Managed care contracting, Reimbursement modeling, SQL, Python, ETL/ELT pipelines, Power BI/Tableau dashboards. Learn and interpret payer contracts. Translate contract terms into machine-readable logic and configure/model those terms in existing pricing/adjudication tools", "postedDate" : "2026-04-28T00:02:37.565", "createdAt" : "2026-05-18T00:02:37.518", "lastUpdated" : "2026-05-18T04:11:30.604", "ingestTimestamp" : "2026-05-18T00:02:37.518", "mongoId" : "6a0a2dee1663d49372bc1613", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://guidehouse.wd1.myworkdayjobs.com/External/job/US---IL-Chicago/Healthcare-Analytics---Payor-Provider-Finance-Data-and-AI--Managed-Care-Contracting---Optimization_36911", "salaryAnnualMin" : 89000, "salaryAnnualMax" : 148000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Modeling reimbursement terms", "Building/optimizing ETL/ELT pipelines", "Using advanced SQL (window functions, CTEs, stored procedures, query tuning)", "Using Python for parsing artifacts, applying calculation engines, regression/variance checks, and generating repeatable validation reports", "Developing Power BI/Tableau dashboards", "Contract modeling", "Payment variance analytics", "Self-directed", "Collaborative teammate", "Comfortable leading workstreams", "Healthcare Finance Data and AI", "Managed care contracting", "Reimbursement modeling", "SQL", "Python", "ETL/ELT pipelines", "Power BI/Tableau dashboards", "Revenue cycle management", "Contract interpretation", "Root cause analysis", "SDLC/Agile practices", "Code review standards", "Regulatory reporting", "Transparency initiatives", "Healthcare analytics", "Payer contracts (commercial and government)", "Reimbursement terms", "Payer/provider operations", "Payment experience with contract modeling or payment variance analytics", "Power BI", "Tableau", "Excel", "Azure Data Factory", "Databricks", "SSIS", "Git" ], "skillCount" : 36, "jobCategory" : "engineering", "seniorityLevel" : "mid", "dataQualityScore" : 1.0, "daysOld" : 20, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare" }, { "id" : "6a2c767e74d8ee00a093a1f6", "title" : "Senior Healthcare Data Analyst - Analytics", "company" : "Qualified Health", "industry" : "Data Engineering", "salary" : { "min" : 120000.0, "max" : 160000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States - Remote", "locations" : [ "United States - Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T03:02:16.190", "fingerprint" : "0abbb1d84b4df4cafa9b4f6b273dff83c581cf58d173d5815ae2e74fa7bf83d4", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/qualified-health-pbc/46ccd928-2aaf-4b74-bab3-02b4698e46dc/application", "externalId" : "46ccd928-2aaf-4b74-bab3-02b4698e46dc", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Analytics engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data visualization", "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 complex data analysis, Collaborate with stakeholders to define data requirements, Ensure data quality and integrity, Optimize data infrastructure for performance and scalability, Stay updated on emerging data technologies", "teamCollaboration" : "Cross-functional teams; Product managers; Engineering teams; Business stakeholders", "domainKnowledge" : "Healthcare data; Clinical data; Healthcare analytics", "domainList" : [ "healthcare-data", "clinical-data", "healthcare-analytics" ], "domainSpecificKnowledge" : [ "Healthcare data", "Clinical data", "Healthcare analytics" ], "toolProficiency" : [ "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "communicationSkills" : "Present findings; Explain complex concepts", "documentationSkills" : "Technical documentation; Data dictionaries", "problemSolvingSkills" : "Analytical problem solving; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data analytics, Proficiency in SQL, Bachelor's degree in a quantitative field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud platforms (AWS, GCP, Azure), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Transform healthcare with us. At Qualified Health, we’re redefining what’s possible with Generative AI in healthcare. Our infrastructure provides the guardrails for safe AI governance, healthcare-specific agent creation, and real-time algorithm monitoring—working alongside leading health systems to drive real change. This is more than just a job. It’s an opportunity to build the future of AI in healthcare, solve complex challenges, and make a lasting impact on patient care. If you’re ambitious, innovative, and ready to move fast, we’d love to have you on board. Join us in shaping the future of healthcare. JOB SUMMARY: Qualified Health is seeking a Senior Healthcare Data Analyst to help our customers and internal teams understand, measure, and communicate the impact of our AI-powered solutions. This role sits at the intersection of healthcare analytics, clinical informatics, and data strategy, serving as the critical link between clinical workflows, source data systems, and the insights that demonstrate value to our health system partners. You will work directly with clinical, technical, and operational stakeholders to translate healthcare data into meaningful measures of clinical, financial, and operational impact. A deep understanding of Epic and healthcare data structures is essential, as much of the evidence demonstrating Qualified Health's success originates from EHR systems and clinical source data. This is a highly visible role with the opportunity to influence product strategy, support customer success, contribute to new product development initiatives, and present insights that are consumed across the organization and by executive stakeholders at leading health systems. KEY RESPONSIBILITIES: Analytics & Value Measurement - Develop reporting frameworks that quantify the clinical, operational, and financial impact of Qualified Health's products. - Build executive-level dashboards, analyses, and value reports that demonstrate ROI and customer outcomes. - Connect clinical data, utilization metrics, workflow performance, and operational KPIs to generate actionable insights. - Identify trends and opportunities that help customers understand the value generated through AI-driven interventions. Clinical Data & Epic Expertise - Translate complex clinical concepts and workflows into structured data models and reporting frameworks. - Leverage deep knowledge of Epic data structures to ensure accurate interpretation of source data and outcome measures. - Partner with customer clinical informatics and analytics teams to understand source systems, validate assumptions, and ensure reporting accuracy. - Reconcile data definitions across organizations and establish standardized approaches for outcome measurement. Data Analysis & Query Development - Develop complex SQL queries to extract, transform, and analyze healthcare data across multiple sources. - Design analytical methodologies that connect patient-level clinical activity to measurable business outcomes. - Navigate large, complex healthcare datasets to uncover insights and answer strategic business questions. - Partner with data engineering teams to ensure data pipelines support reporting and analytics needs. Data Quality & Governance - Establish quality assurance frameworks and validation processes to ensure reporting accuracy. - Develop and maintain data dictionaries, metric definitions, and reporting standards. - Monitor data quality and proactively identify issues that may impact analyses or customer reporting. REQUIRED QUALIFICATIONS: - 5+ years of experience in healthcare data analysis with demonstrated expertise in clinical data mapping and EHR data structures - Deep clinical domain knowledge including understanding of clinical workflows, medical terminology, and healthcare delivery processes - Advanced SQL proficiency with experience writing complex queries against healthcare databases and EHR systems - EHR Systems Expertise: Hands-on experience with Epic EHR platform is required. Exposure to other EHR platforms (Cerner, AllScripts, or NextGen) is helpful. - Healthcare Data Standards: Working knowledge of FHIR, HL7, ICD-10, CPT, SNOMED, and other clinical coding systems - Data Quality Experience: Proven track record developing and implementing data validation frameworks and quality assurance processes - Client-facing Skills: Strong ability to work directly with health system stakeholders, translate technical concepts for clinical audiences, and manage complex data reconciliation projects - Problem-solving Capabilities: Demonstrated ability to troubleshoot complex data mapping issues and develop creative solutions for non-standard data formats - Communication Skills: Excellent written and verbal communication with ability to document complex mappings and present findings to varied technical and clinical audiences - Bachelor's degree in Health Informatics, Healthcare Administration, Data Science, or related field DESIRABLE SKILLS: - Clinical Background: Clinical training, HIM certification, or formal healthcare informatics education - FHIR Implementation Experience: Hands-on experience with FHIR mapping and transformation projects - Epic Certification: Cogito, Caboodle, Clarity, or Chronicles training and certification - Regulatory Knowledge: Understanding of HIPAA, HITECH, and healthcare data governance requirements - Analytics Tools: Proficiency in Python, R, Tableau, or similar analytical platforms - Project Management: Experience leading cross-functional data mapping initiatives - Master's degree in relevant field - Professional certifications in health informatics (RHIA, CHPS, or similar) TECHNICAL ENVIRONMENT: You'll work with healthcare data from diverse sources including: - Epic (Clarity, Chronicles, FHIR APIs) - Cerner, AllScripts, and other major EHR platforms - Claims data (CMS, commercial payers) - Clinical registries and specialty systems - FHIR R4 and legacy HL7 formats IMPACT & GROWTH OPPORTUNITY: As a Senior Healthcare Data Analyst at Qualified Health, you'll directly influence how our AI platform interprets and leverages clinical data from major health systems. Your expertise in clinical data mapping will be fundamental to ensuring our platform delivers accurate, meaningful insights that improve patient care. This role offers significant growth potential as we expand across diverse healthcare organizations and clinical use cases. Why Join Qualified Health? This is an opportunity to join a fast-growing company and a world-class team, that is poised to change the healthcare industry. We are a passionate, mission-driven team that is building a category-defining product. We are backed by premier investors and are looking for founding team members who are excited to do the best work of their careers. Our employees are integral to achieving our goals so we are proud to offer competitive salaries with equity packages, robust medical/dental/vision insurance, flexible working hours, hybrid work options and an inclusive environment that fosters creativity and innovation. Our Commitment to Diversity Qualified Health is an equal opportunity employer. We believe that a diverse and inclusive workplace is essential to our success, and we are committed to building a team that reflects the world we live in. We encourage applications from all qualified individuals, regardless of race, color, religion, gender, sexual orientation, gender identity or expression, age, national origin, marital status, disability, or veteran status. Pay & Benefits: The pay range for this role is between $120,000 and $160,000, and will depend on your skills, qualifications, experience, and location. This role is also eligible for equity and benefits. Join our mission to revolutionize healthcare with AI. To apply, please send your resume through the application below.", "summaryDescription" : "Senior Healthcare Data Analyst - Analytics at Qualified Health. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Develop and implement data models. Build and maintain data pipelines", "createdAt" : "2026-06-14T20:16:55.506", "lastUpdated" : "2026-06-16T03:02:16.190", "ingestTimestamp" : "2026-06-14T20:16:55.506", "mongoId" : "6a2c767e74d8ee00a093a1f6", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 120000, "salaryAnnualMax" : 160000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data engineering", "Machine learning", "Statistical modeling", "A/B testing", "Causal inference", "Data warehousing", "ETL processes", "Data visualization", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "Statistical analysis", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Healthcare data", "Clinical data", "Healthcare analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch", "AWS", "GCP", "Azure" ], "skillCount" : 40, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307ca6f292fd229c04a86d", "title" : "Data & Analytics Engineer - Finance Systems", "company" : "Louis Dreyfus Company", "industry" : "International Trade And Development", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Analytics Engineer in Sofia, Bulgaria, adjusted for the Food & Beverage industry." }, "location" : "Sofia, Sofia City Province, BG", "locations" : [ "Sofia", "Sofia City Province", "BG" ], "timestamp" : "2026-06-16T12:13:23.084", "fingerprint" : "e331d39ec65b1fbb6494fbf5e7efa5a566b895a1b264e95bc023f677800c3e49", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LouisDreyfusCompany/744000132168929-data-analytics-engineer-finance-systems-", "externalId" : "744000132168929", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "state" : "Sofia City Province", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Sofia, Sofia City Province, Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "SQL, Python, ETL, Data warehousing, Cloud platforms, Data modeling, Data visualization, Big data technologies, Machine learning frameworks", "professionalSkills" : [ "System design", "Data architecture" ], "hardSkillsList" : [ "ETL processes", "Data warehousing", "Data modeling", "Data visualization", "Big data technologies", "Machine learning frameworks" ], "hardSkills" : [ { "name" : "ETL processes", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" }, { "name" : "Big data technologies", "level" : "intermediate" }, { "name" : "Machine learning frameworks", "level" : "intermediate" } ], "majorSkills" : "Data engineering, ETL, Data warehousing, Cloud platforms", "majorSkillsList" : [ "Data engineering", "ETL", "Data warehousing", "Cloud platforms" ], "coreResponsibilities" : "Design and implement ETL processes, Build and maintain data warehouses, Develop data models, Create data visualizations, Optimize data pipelines, Collaborate with stakeholders, Ensure data quality, Support data-driven decision making", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "domainKnowledge" : "Finance systems", "domainList" : [ "finance-systems" ], "domainSpecificKnowledge" : [ "Finance systems" ], "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering, Experience with ETL processes, Experience with data warehousing, Experience with cloud platforms, Experience with SQL, Experience with Python", "qualificationsPreferred" : "Experience with data modeling, Experience with data visualization tools, Experience with big data technologies, Experience with machine learning frameworks", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. This role will have an impactful contribution to supporting and enhancing Louis Dreyfus Company's OneStream Enterprise Performance Management (EPM) platform, contributing to the delivery of accurate, reliable, and scalable financial planning, reporting, and performance management processes. Partnering with Finance, Data & Analytics teams, Business Process Owners, and external implementation partners, you will develop expertise in Enterprise Performance Management technologies while contributing to platform performance, data quality, governance, and operational stability. Brief: Support LDC’s OneStream-based Enterprise Performance Management platform from Sofia as a core technical engineer, delivering deep configuration, performance optimization, rule development, troubleshooting, and technical platform stability. This role contributes directly to building the Enterprise Performance Management Center of Excellence , enabling scalable operations, technical autonomy, and long‑term value creation across Daily P&L, Actuals, Forecasting, Group Reporting and future Enterprise performance management roadmap components. The resource will join at a key moment (platform ramp‑up and CoE build), work closely with experienced internal and external experts, and quickly take ownership of meaningful technical components that directly impact Finance performance and operational efficiency. Main Responsibilities: * Develop and enhance business rules, calculations, workflows, and data transformation processes. * Support financial reporting, forecasting, planning, and performance management solutions. * Troubleshoot platform issues and investigate data quality or integration challenges. * Work with Finance teams to understand business requirements and translate them into technical solutions. * Optimize system performance and improve reliability of financial processes. * Participate in testing, releases, and deployments across development and production environments. * Create technical documentation, support guides, and reusable development standards. * Collaborate with global stakeholders, implementation partners, and internal technology teams. * Contribute to the growth of the Enterprise Performance Management Center of Excellence and help build future best practices. What Makes This Opportunity Different * Join a newly established Center of Excellence and help shape its future. * Gain expertise in a highly specialized and sought-after technology domain. * Work directly with international Finance and Data teams. * Receive mentorship from experienced OneStream consultants and platform experts. * Exposure to large-scale global financial processes and enterprise systems. * Opportunity to grow into senior engineering, architecture, or product ownership roles. ## Qualifications What We're Looking For Education * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Mathematics, Economics, Finance Technology, or a related field. Experience * Еxperience in Software Development, Data Engineering, Business Intelligence, ERP Systems, Financial Systems, or similar technical roles. * Internship experience is welcomed. * Experience with OneStream, SAP, Oracle, NetSuite, Power BI, Tableau, ETL tools, or similar platforms is considered an advantage but is not required. Technical Skills We are looking for strong technical potential rather than specific platform expertise. Examples of relevant skills include: * SQL and database fundamentals. * Programming experience with Python, C#, Java, VB.NET, or similar languages. * Understanding of data integration and data transformation concepts. * Interest in analytics, reporting, and financial systems. * Familiarity with Git, Azure DevOps, or software delivery processes is a plus. Personal Qualities * Analytical mindset and strong problem-solving skills. * Curiosity and willingness to learn new technologies. * Strong communication and collaboration skills. * Ownership and attention to detail. * Ability to work effectively in a global and multicultural environment. Nice-to-Have Skills * Exposure to cloud technologies, automation, or APIs. * Knowledge of Power BI, data visualization, or reporting tools. * Interest in Python-based analytics, machine learning, or process automation. * Understanding of financial processes such as reporting, budgeting, forecasting, or consolidation. ## Additional Information Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits * 25 annual paid leave * Flexible working hours * Food vouchers * Transportation allowance * Additional medical & dental insurance * Life insurance * Sports card with 90/10 coverage * Various learning & development opportunities * Yearly performance evaluation plans * Social clubs & Wellbeing initiatives * Team buildings & social events * Employee Referral Program", "summaryDescription" : "Data & Analytics Engineer - Finance Systems at Louis Dreyfus Company. Skills: Data engineering, ETL, Data warehousing, Cloud platforms. Design and implement ETL processes. Build and maintain data warehouses", "postedDate" : "2026-06-15T10:48:19.000", "createdAt" : "2026-06-16T01:38:01.559", "lastUpdated" : "2026-06-16T12:13:23.084", "ingestTimestamp" : "2026-06-16T01:38:01.559", "mongoId" : "6a307ca6f292fd229c04a86d", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "ETL processes", "Data warehousing", "Data modeling", "Data visualization", "Big data technologies", "Machine learning frameworks", "Data engineering", "ETL", "Cloud platforms", "System design", "Data architecture", "Finance systems" ], "skillCount" : 12, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3064c8f292fd229cfa2ebf", "title" : "Data & Analytics Engineer - Finance Systems", "company" : "Louis Dreyfus Company", "industry" : "International Trade And Development", "salary" : { "min" : 75000.0, "max" : 110000.0, "currency" : "BGN", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-level Data & Analytics Engineer in Sofia, Bulgaria, adjusted for the Food & Beverage industry." }, "location" : "Sofia, Sofia City Province, BG", "locations" : [ "Sofia", "Sofia City Province", "BG" ], "timestamp" : "2026-06-16T11:19:35.670", "fingerprint" : "d93d2ee22ef402e02b9047b64aba8da20b4c95d6db4065c13d27bf1c9f072d8d", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/LouisDreyfusCompany/744000132168929-data-analytics-engineer-finance-systems-", "externalId" : "744000132168929", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Sofia", "state" : "Sofia City Province", "country" : "Bulgaria", "continent" : "eu", "source" : "llm", "workMode" : "onsite" } ], "locationText" : "Sofia, Sofia City Province, Bulgaria", "employmentType" : "FULL_TIME", "experienceLevel" : "not-applicable", "technicalSkills" : "Python, Java, SQL, NoSQL, AWS, Azure, GCP, ETL, ELT, Spark, Hadoop, Data Warehousing", "professionalSkills" : [ "System design", "Data modeling", "Problem solving" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud infrastructure management" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud infrastructure management", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Cloud Platforms, ETL/ELT", "majorSkillsList" : [ "Data Engineering", "Cloud Platforms", "ETL/ELT" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize ETL/ELT processes, Manage and maintain data warehousing solutions, Ensure data quality and integrity, Collaborate with data scientists and analysts, Implement data security and governance best practices, Monitor and troubleshoot data infrastructure, Stay up-to-date with emerging data technologies", "teamCollaboration" : "Cross-functional teams; Data scientists; Data analysts", "projectManagementSkills" : [ "Agile methodologies" ], "toolProficiency" : [ "SQL", "NoSQL", "Python", "Java", "AWS", "Azure", "GCP", "Spark", "Hadoop" ], "documentationSkills" : "Data documentation", "problemSolvingSkills" : "Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering, Experience with cloud platforms (AWS, Azure, GCP), Experience with data warehousing solutions, Experience with ETL/ELT processes, Experience with SQL and NoSQL databases, Experience with programming languages like Python or Java, Bachelor's degree in Computer Science or related field", "qualificationsPreferred" : "Master's degree in Computer Science or related field, Experience with big data technologies (Spark, Hadoop), Experience with data visualization tools, Experience with CI/CD pipelines, Experience with Agile methodologies", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Louis Dreyfus Company is a leading merchant and processor of agricultural goods. Our activities span the entire value chain from farm to fork, across a broad range of business lines, we leverage our global reach and extensive asset network to serve our customers and consumers around the world. Structured as a matrix organization of six geographical regions and ten platforms, Louis Dreyfus Company is active in over 100 countries and employs approximately 18,000 people globally. This role will have an impactful contribution to supporting and enhancing Louis Dreyfus Company's OneStream Enterprise Performance Management (EPM) platform, contributing to the delivery of accurate, reliable, and scalable financial planning, reporting, and performance management processes. Partnering with Finance, Data & Analytics teams, Business Process Owners, and external implementation partners, you will develop expertise in Enterprise Performance Management technologies while contributing to platform performance, data quality, governance, and operational stability. Brief: Support LDC’s OneStream-based Enterprise Performance Management platform from Sofia as a core technical engineer, delivering deep configuration, performance optimization, rule development, troubleshooting, and technical platform stability. This role contributes directly to building the Enterprise Performance Management Center of Excellence , enabling scalable operations, technical autonomy, and long‑term value creation across Daily P&L, Actuals, Forecasting, Group Reporting and future Enterprise performance management roadmap components. The resource will join at a key moment (platform ramp‑up and CoE build), work closely with experienced internal and external experts, and quickly take ownership of meaningful technical components that directly impact Finance performance and operational efficiency. Main Responsibilities: * Develop and enhance business rules, calculations, workflows, and data transformation processes. * Support financial reporting, forecasting, planning, and performance management solutions. * Troubleshoot platform issues and investigate data quality or integration challenges. * Work with Finance teams to understand business requirements and translate them into technical solutions. * Optimize system performance and improve reliability of financial processes. * Participate in testing, releases, and deployments across development and production environments. * Create technical documentation, support guides, and reusable development standards. * Collaborate with global stakeholders, implementation partners, and internal technology teams. * Contribute to the growth of the Enterprise Performance Management Center of Excellence and help build future best practices. What Makes This Opportunity Different * Join a newly established Center of Excellence and help shape its future. * Gain expertise in a highly specialized and sought-after technology domain. * Work directly with international Finance and Data teams. * Receive mentorship from experienced OneStream consultants and platform experts. * Exposure to large-scale global financial processes and enterprise systems. * Opportunity to grow into senior engineering, architecture, or product ownership roles. ## Qualifications What We're Looking For Education * Bachelor's or Master's degree in Computer Science, Information Systems, Engineering, Mathematics, Economics, Finance Technology, or a related field. Experience * Еxperience in Software Development, Data Engineering, Business Intelligence, ERP Systems, Financial Systems, or similar technical roles. * Internship experience is welcomed. * Experience with OneStream, SAP, Oracle, NetSuite, Power BI, Tableau, ETL tools, or similar platforms is considered an advantage but is not required. Technical Skills We are looking for strong technical potential rather than specific platform expertise. Examples of relevant skills include: * SQL and database fundamentals. * Programming experience with Python, C#, Java, VB.NET, or similar languages. * Understanding of data integration and data transformation concepts. * Interest in analytics, reporting, and financial systems. * Familiarity with Git, Azure DevOps, or software delivery processes is a plus. Personal Qualities * Analytical mindset and strong problem-solving skills. * Curiosity and willingness to learn new technologies. * Strong communication and collaboration skills. * Ownership and attention to detail. * Ability to work effectively in a global and multicultural environment. Nice-to-Have Skills * Exposure to cloud technologies, automation, or APIs. * Knowledge of Power BI, data visualization, or reporting tools. * Interest in Python-based analytics, machine learning, or process automation. * Understanding of financial processes such as reporting, budgeting, forecasting, or consolidation. ## Additional Information Diversity & Inclusion LDC is driven by a set of shared values and high ethical standards, with diversity and inclusion being part of our DNA. LDC is an equal opportunity employer committed to providing a working environment that embraces and values diversity, equity and inclusion. LDC encourages diversity, supports local communities and environmental initiatives. We encourage people of all backgrounds to apply. Sustainability Sustainable value is at the heart of our purpose as a company. We are passionate about creating fair and sustainable value, both for our business and for other value chain stakeholders: our people, our business partners, the communities we touch and the environment around us What We Offer We provide a dynamic and stimulating international environment, which will stretch and develop your abilities and channel your skills and expertise with outstanding career development opportunities in one of the largest and most solid private companies in the world. Our Benefits * 25 annual paid leave * Flexible working hours * Food vouchers * Transportation allowance * Additional medical & dental insurance * Life insurance * Sports card with 90/10 coverage * Various learning & development opportunities * Yearly performance evaluation plans * Social clubs & Wellbeing initiatives * Team buildings & social events * Employee Referral Program", "summaryDescription" : "Data & Analytics Engineer - Finance Systems at Louis Dreyfus Company. Skills: Data Engineering, Cloud Platforms, ETL/ELT. Design, build, and maintain scalable data pipelines. Develop and optimize ETL/ELT processes", "postedDate" : "2026-06-15T10:48:19.000", "createdAt" : "2026-06-15T23:50:15.822", "lastUpdated" : "2026-06-16T11:19:35.670", "ingestTimestamp" : "2026-06-15T23:50:15.822", "mongoId" : "6a3064c8f292fd229cfa2ebf", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "Data pipeline development", "Database management", "Cloud infrastructure management", "Data Engineering", "Cloud Platforms", "ETL/ELT", "System design", "Data modeling", "Problem solving", "Agile methodologies", "SQL", "NoSQL", "Python", "Java", "AWS", "Azure", "GCP", "Spark", "Hadoop" ], "skillCount" : 19, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Food & Beverage", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307f57f292fd229c058281", "title" : "Senior Data and Analytics Engineer", "company" : "Velir", "salary" : { "min" : 160000.0, "max" : 175000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Remote", "locations" : [ "Remote" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:32:01.810", "fingerprint" : "94ede4f511c38a9621a1a064142cdbb189de1e740bcae1d22083fe7aee1c9284", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/velir/jobs/5262333008", "externalId" : "5262333008", "industryFunction" : { }, "structuredLocations" : [ { "country" : "Bulgaria", "continent" : "eu", "workMode" : "remote" } ], "locationText" : "Bulgaria", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "SQL, Python, Spark, Dbt, Snowflake, BigQuery, Databricks, AWS, GCP, Azure, SageMaker, Vertex AI, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow", "professionalSkills" : [ "Data engineering", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Analytics engineering", "Quantitative analysis", "Machine learning", "AI development" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud data platforms", "level" : "intermediate" }, { "name" : "Machine learning models", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "majorSkills" : "Data engineering, Machine learning, Business intelligence, Analytics engineering", "majorSkillsList" : [ "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering" ], "coreResponsibilities" : "Design data pipelines, Build data models, Develop ETL processes, Implement data warehousing solutions, Create business intelligence dashboards, Engineer analytics solutions, Develop and deploy machine learning models, Perform quantitative analysis, Conduct A/B testing, Apply causal inference techniques, Optimize data infrastructure, Ensure data quality and integrity, Collaborate with stakeholders", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "Cloud data stacks; ML frameworks; BI platforms; Statistical methods", "domainList" : [ "cloud-data-stacks", "ml-frameworks", "bi-platforms", "statistical-methods" ], "domainSpecificKnowledge" : [ "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods" ], "toolProficiency" : [ "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "qualificationsBasic" : "5+ years of experience in data engineering, Proficiency in SQL, Experience with Python", "qualificationsPreferred" : "Master's degree preferred, Experience with dbt Cloud, Experience with MLflow, Experience with Databricks, Experience with Snowflake, Experience with BigQuery, Experience with AWS SageMaker, Experience with GCP Vertex AI, Experience with Azure ML Studio, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Velir is an established mid-sized agency with a top-tier portfolio of clients, ranging from the world’s largest non-profits to Fortune 500 brands. As of 2023, Velir acquired Brooklyn Data Company, a premier data and analytics consultancy focused on leadership, process improvement, implementation, and advanced analytics. At Velir, we believe people are our greatest asset. Our culture is built on a foundation of trust, collaboration, and continued improvement. We strive for excellence in everything we do, embracing challenges as opportunities for growth. Our success is driven by a shared passion for making a positive impact on our customers, our communities and each other. We are a remote first company that offers competitive pay and excellent benefits. Overview The Senior Data & Analytics Engineer will play a crucial role in helping our client organizations transform raw data into reliable, well-modeled assets that drive business decisions. This hybrid role bridges data engineering and analytics engineering — combining the infrastructure-building strengths of a data engineer with the transformation, modeling, and semantic layer expertise of an analytics engineer. Core responsibilities include Data Architecture Design, Data Modeling, ELT/ETL Development, Data Quality Assurance, and Scalability Optimization, with a strong emphasis on Databricks as the primary platform. Because our clients are mostly US-based organizations, we look for the ability to communicate with professional proficiency in English, verbally and in writing. Responsibilities Data & Analytics Engineering Expertise: You are responsible for building and maintaining the infrastructure and transformation layers that support the storing, movement, and modeling of data — enabling analysts, AI agents, and business stakeholders to confidently consume, interpret and take action. You will operate across both the data engineering and analytics engineering layers of the data stack, owning pipeline development and maintenance, as well as designing and building the resultant data models. Design, build, and maintain scalable data pipelines and ELT workflows, with Databricks as the primary platform Develop and maintain dbt models that are well-documented, tested, and structured for long-term maintainability Own data modeling decisions and methodology — defining entities, relationships, and grain — in collaboration with analytics and business stakeholders Consistently seek out and deliver on engagement-level vision, tasks, and problems Regularly delivers meaningful improvements to clients' data infrastructure and analytical capabilities Autonomous in approach and provides technical guidance to less experienced engineers Cross-Team Collaboration: You are responsible for collaborating with peers and other functional departments to develop and implement data strategies that support engagement goals and client needs. Collaborate with other data engineers and analytics engineers, data analysts, and clients on end-to-end data requirements Partner with clients and functional managers to plan for data engineering and modeling needs for product or feature launches Create processes and/or documentation templates that help cross-functional teams solve common data problems Drive data solution improvements that impact the client experience or empower internal stakeholders to do their jobs effectively Take initiative to identify, communicate, and solve important problems, coordinating with others on cross-cutting technical issues Project Delivery: You are responsible for ensuring that data engineering and analytics engineering projects are delivered on time, within scope, and within budget. Architect and design data systems and transformation layers using patterns that allow for iterative delivery and future scaling Proactively identify and address technical debt with careful evaluation of development cost Optimize for predictability and a regular cadence of deliverables Keep reliability, maintainability, and scalability of client systems top of mind Ability to identify and prioritize unowned or unglamorous work that enables the broader team to move faster Skills & Qualifications Proven experience as a Data Engineer, Analytics Engineer, or in a hybrid or generalist role, with a focus on designing and developing data pipelines and transformation layers Strong programming skills in Python and SQL Hands-on, deep expertise with Databricks — including Delta Lake, Unity Catalog, and Databricks workflows Strong proficiency with dbt for data transformation, testing, and documentation Demonstrated experience in data modeling — including dimensional modeling, entity-relationship design, and semantic layer development Deep knowledge of data warehousing and ELT/ETL processes Familiarity with data integration and orchestration platforms (e.g., Fivetran, Apache Airflow, Azure Data Factory) Experience with cloud platforms such as AWS, Azure, or Google Cloud Experience with other cloud data warehouses such as Snowflake or Motherduck is a plus Experience with streaming solutions such as Spark Streaming or Kafka is desirable but not required Familiarity with MLOps techniques and platforms is a plus but not required Strong analytical and problem-solving skills Excellent communication and collaboration skills Familiarity with leveraging coding assistants such as Claude Code, CoPilot, and/or Codex is a plus Physical Requirements Frequent sitting at a desk performing work on a computer Reasonable accommodations may be made to enable individuals with disabilities to perform the essential functions Compensation Range: $160,000 - 175,000 annually Please note that compensation packages are finalized after the interview process is concluded. We use a competency-based approach to base pay, which means it is based on the competencies and skills demonstrated for this role. Core Company Values Take the Long View - Ensure the company is built to last Be Courageous - Make the right decisions even when they aren't the easiest decisions Be Genuine - Bring honesty and authenticity to all that you do Work with Focus + Passion - Display purpose and pride in your work and never stop learning As an equal opportunity employer, we are firmly committing to diversity, equity, and inclusion in our hiring efforts. We recognize that we need team members from all backgrounds and experiences to successfully shape a positive employee experience as well as deliver our product and service solutions. To that end, we actively seek candidates who can bring diverse experiences and backgrounds to our team. We know that complex factors and systemic bias can get in the way of us meeting strong candidates, so please don't hesitate to apply even if you're not 100% sure. At this time, Velir does not sponsor candidates and unfortunately cannot accept those on OPT or CPT.", "summaryDescription" : "Senior Data and Analytics Engineer at Velir. Skills: Data engineering, Machine learning, Business intelligence, Analytics engineering. Design data pipelines. Build data models", "postedDate" : "2026-06-16T01:18:38.223", "createdAt" : "2026-06-16T01:18:38.223", "lastUpdated" : "2026-06-16T10:32:01.810", "ingestTimestamp" : "2026-06-16T01:18:38.223", "mongoId" : "6a307f57f292fd229c058281", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 160000, "salaryAnnualMax" : 175000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud data platforms", "Machine learning models", "Statistical analysis", "A/B testing", "Causal inference", "Data engineering", "Machine learning", "Business intelligence", "Analytics engineering", "Data modeling", "ETL development", "Data warehousing", "Quantitative analysis", "AI development", "Cloud data stacks", "ML frameworks", "BI platforms", "Statistical methods", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud", "MLflow", "Snowflake", "BigQuery", "Databricks", "AWS SageMaker", "GCP Vertex AI", "Azure ML Studio" ], "skillCount" : 32, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Senior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2ca45f74d8ee00a09b1815", "title" : "Healthcare Data Automation & QA Analytics Intern", "company" : "MedElite Group, LLC.", "industry" : "Healthcare", "salary" : { "min" : 45000.0, "max" : 65000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level internship in the healthcare industry in Brooklyn, NY, adjusted for company size and specific role responsibilities." }, "location" : "Brooklyn, New York, United States", "locations" : [ "Brooklyn", "New York", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T06:35:48.182", "fingerprint" : "22b78eb5950f979abc49b77cdc3fabb756e76578e0591fa33f35ca8f12a66794", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/medelitellc/jobs/5258038008", "externalId" : "5258038008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Brooklyn", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.6526006,-73.9497211" } ], "locationText" : "Brooklyn, New York, United States", "employmentType" : "INTERNSHIP", "technicalSkills" : "SQL, Python, R, Spark, Tableau, Power BI, Snowflake, BigQuery, Redshift, Databricks, Dbt, Fivetran, Airflow, Delta Lake, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, AWS, GCP, Azure", "professionalSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Quantitative analysis" ], "hardSkillsList" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills" ], "hardSkills" : [ { "name" : "Statistical methods", "level" : "intermediate" }, { "name" : "ML frameworks", "level" : "intermediate" }, { "name" : "BI platforms", "level" : "intermediate" }, { "name" : "Cloud data stacks", "level" : "intermediate" }, { "name" : "Modelling skills", "level" : "intermediate" } ], "majorSkills" : "Data Science, Data Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Automate data processes, Develop and maintain data pipelines, Perform data quality assurance, Analyze data to identify trends and insights, Build and maintain reports and dashboards, Collaborate with cross-functional teams, Support data-driven decision-making, Contribute to data strategy and roadmap", "teamCollaboration" : "Cross-functional teams; Data science teams; Engineering teams; Product teams", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Dbt", "Fivetran", "Airflow", "MLflow" ], "problemSolvingSkills" : "Root cause analysis; Troubleshooting; Data validation", "qualificationsBasic" : "Bachelor's degree in Statistics, Computer Science, Mathematics, or related field, Proficiency in SQL, Experience with Python or R", "qualificationsPreferred" : "Master's degree or PhD, Experience with machine learning frameworks, Cloud platform certifications (AWS, GCP, Azure), Experience with data warehousing solutions, Experience with BI tools", "remoteFriendly" : false, "rawDescription" : "Healthcare Data Automation you think about how it will be consumed and used to make decisions. Communication: Ability to talk to non-technical team members, understand their pain points, and deliver automation that solves their problems. What's In It For You Real-world ownership of projects that directly impact patient care and facility efficiency. Mentorship from experienced data and healthcare professionals. A fast-paced, collaborative environment where your ideas turn into production-level tools. EEO/AAP Statement: MedElite is an equal-opportunity employer. We acknowledge and honor the fundamental value and dignity of all individuals. We pledge ourselves to crafting and maintaining an environment that respects diverse traditions, heritages, and experiences. MedElite is an Equal Employment Opportunity and Affirmative Action employer. We do not discriminate based on race, religion, color, national origin, gender (including pregnancy, childbirth, or related medical conditions), sexual orientation, gender identity, gender expression, age, status as a protected veteran, status as an individual with a disability, or other applicable legally protected characteristics. The above-noted job description is not intended to describe, in detail, the multitude of tasks that may be assigned but rather to give the applicant a general sense of the responsibilities and expectations of this position. As the nature of business demands change so, too, may the essential functions of the position. #INDL", "summaryDescription" : "Healthcare Data Automation & QA Analytics Intern at MedElite Group, LLC.. Skills: Data Science, Data Engineering, Machine Learning, Business Intelligence. Automate data processes. Develop and maintain data pipelines", "postedDate" : "2026-06-14T18:00:40.053", "createdAt" : "2026-06-14T18:00:40.053", "lastUpdated" : "2026-06-16T06:35:48.182", "ingestTimestamp" : "2026-06-14T18:00:40.053", "mongoId" : "6a2ca45f74d8ee00a09b1815", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 45000, "salaryAnnualMax" : 65000, "salaryBand" : "30k-50k", "hasSalary" : true, "allSkills" : [ "Statistical methods", "ML frameworks", "BI platforms", "Cloud data stacks", "Modelling skills", "Data Science", "Data Engineering", "Machine Learning", "Business Intelligence", "Data analysis", "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", "Fivetran", "Airflow", "MLflow" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Entry", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058cdf292fd229cf442ac", "title" : "Primary Care Provider", "company" : "Terrestris Global Solutions", "industry" : "Healthcare", "location" : "Dayton, OH", "locations" : [ "Dayton", "OH" ], "timestamp" : "2026-06-16T08:11:04.858", "fingerprint" : "1ba68a709472769fcb8e818287f20e3f4371760bce4e0469d070742197d71622", "source" : "breezyhr", "language" : "en", "applyUrl" : "https://terrestris-global-solutions.breezy.hr/p/5added071afe01-primary-care-provider", "externalId" : "5added071afe01", "industryFunction" : { }, "structuredLocations" : [ { "city" : "dayton", "state" : "western australia", "country" : "Australia", "continent" : "oceania", "source" : "locations-index", "geo" : "-31.85251,115.97494" } ], "locationText" : "Dayton, OH", "employmentType" : "FULL_TIME", "summaryDescription" : "Primary Care Provider at Terrestris Global Solutions", "createdAt" : "2026-06-15T22:12:46.828", "lastUpdated" : "2026-06-16T08:11:04.858", "ingestTimestamp" : "2026-06-15T22:12:46.828", "mongoId" : "6a3058cdf292fd229cf442ac", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "operations", "jobSubcategory" : "general", "seniorityLevel" : "Mid", "dataQualityScore" : 0.44444445, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.0 }, { "id" : "6a2c905074d8ee00a098019d", "title" : "Healthcare Provider Licensing Manager", "company" : "TeleMed2U", "industry" : "Healthcare", "salary" : { "min" : 85000.0, "max" : 125000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Mid-seniority Healthcare Provider Licensing Manager in the United States, adjusted for industry and remote work." }, "location" : "United States", "locations" : [ "United States" ], "certifications" : [ "CPCS", "CPMSM" ], "timestamp" : "2026-06-15T09:15:22.726", "fingerprint" : "ddcef3bbf8d96ec2e77cc9a3d98fbe695e3c7c6c1830962a5b52c04a41c01e4d", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/telemed2u/jobs/4271936009", "externalId" : "4271936009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceLevel" : "Manager", "professionalSkills" : [ "Process management", "Cross-functional coordination", "Vendor management", "Stakeholder management", "Operational metrics", "Resource planning", "Continuous improvement" ], "hardSkillsList" : [ "Provider licensing", "Multi-state licensing" ], "hardSkills" : [ { "name" : "Provider licensing", "level" : "intermediate" }, { "name" : "Multi-state licensing", "level" : "intermediate" } ], "majorSkills" : "Provider licensing, Licensing operations, Multi-state expansion", "majorSkillsList" : [ "Provider licensing", "Licensing operations", "Multi-state expansion" ], "coreResponsibilities" : "Manage provider licensing lifecycle, Prepare and submit applications, Track license statuses, Communicate with providers, Communicate with licensing boards, Resolve licensing issues, Maintain audit-ready documentation, Build and improve workflows, Build and improve SOPs, Build and improve tracking systems, Support multi-state growth, Monitor regulatory changes, Ensure ongoing compliance, Identify licensing risks, Mitigate licensing risks, Partner with Clinical Operations, Partner with Recruiting, Partner with Credentialing, Partner with Compliance, Track key metrics, Provide reporting to leadership, Support licensing operations build-out, Support licensing team structure build-out", "teamCollaboration" : "Partner with Clinical Operations; Partner with Recruiting; Partner with Credentialing; Partner with Compliance", "projectManagementSkills" : [ "Lead projects", "Lead initiatives", "Drive outcomes" ], "domainKnowledge" : "State licensing regulations; Telehealth compliance; Provider licensure processes", "domainList" : [ "state-licensing-regulations", "telehealth-compliance", "provider-licensure-processes" ], "domainSpecificKnowledge" : [ "State licensing regulations", "Telehealth compliance", "Provider licensure processes" ], "documentationSkills" : "Audit-ready documentation", "problemSolvingSkills" : "Problem-solving skills", "qualificationsBasic" : "3 years provider licensing experience, Multi-state licensing exposure, Operational ownership, State licensing regulations understanding, Telehealth compliance understanding, Provider licensure processes understanding, Organizational skills, Analytical skills, Problem-solving skills, High attention to detail, Manage competing priorities", "qualificationsPreferred" : "Certification through NAMSS, Experience in telehealth, Experience in multi-state healthcare organizations", "remoteFriendly" : true, "rawDescription" : "About TeleMed2U At TeleMed2U, we believe that time is the most valuable resource in healthcare— whether it is time to diagnosis, time to treatment, or time to better health. That is why, since our founding in 2011, we have been dedicated to increasing access to care across 20 medical and behavioral health specialties nationwide. By breaking down traditional barriers to specialty care, TeleMed2U has become a leading technology-enabled healthcare services company, delivering high-quality, convenient, and easy-to-access virtual healthcare solutions. Our integrated approach to chronic disease management empowers both patients and providers, improving health outcomes through seamless care coordination. With a focus on patient-centered innovation, provider collaboration, and data-driven care delivery, TeleMed2U is redefining specialty care—making it faster, simpler, and more accessible for all. About the role TeleMed2U is seeking a Licensing Manager to build, manage, and scale our provider licensing function across multiple states. This is a hands-on role responsible for owning licensing operations end-to-end while establishing the processes and structure needed to support growth. This role will evolve into a people leadership position as the licensing function expands. What you'll do Manage the full lifecycle of provider licensing, including applications, renewals, reinstatements, and multi-state expansion Prepare and submit applications, ensuring accuracy and compliance Track license statuses, expirations, and renewal timelines Communicate with providers and licensing boards to resolve issues Maintain accurate, audit-ready documentation Build and improve workflows, SOPs, and tracking systems Support multi-state growth through scalable licensing processes Monitor regulatory changes and ensure ongoing compliance Identify and mitigate licensing risks Partner with Clinical Operations, Recruiting, Credentialing, and Compliance Track key metrics and provide reporting to leadership Support future build-out of licensing operations and team structure Qualifications Bachelor’s degree in healthcare administration, business administration, or related field preferred; significant professional experience in multi-state provider licensing and demonstrated operational ownership may be considered in lieu of formal education Minimum 3 years of provider licensing experience, including multi-state licensing exposure Proven ability to take ownership and lead projects, initiatives, or functional responsibilities, including influencing stakeholders and driving outcomes Strong understanding of state licensing regulations, telehealth compliance, and provider licensure processes Strong organizational, analytical, and problem-solving skills High attention to detail and ability to manage competing priorities Preferred Certification through NAMSS (e.g., CPCS, CPMSM) Experience in telehealth or multi-state healthcare organizations Physical Requirements Prolonged periods of desk work and computer use Ability to lift up to 15 lbs Compensation Job Type: Full Time Exempt Competitive Salary Schedule: Monday – Friday during normal business hours. Full-Time Employment Benefits Health Benefits (Health/Vision/Dental) Paid Time Off Paid Holidays 401K TeleMed2U is an equal opportunity employer and is committed to providing a workplace that is inclusive and free of discrimination. As an EEO employer, TeleMed2U does not discriminate on the basis of race, color, religion, sex, national origin, age, disability, genetic information, or any other status protected by applicable law or regulation. We strive to create a diverse and welcoming environment for all employees, where each person is recognized and valued for their unique contributions. All employment decisions are based on merit, business needs, and individual qualifications.", "summaryDescription" : "Healthcare Provider Licensing Manager at TeleMed2U. Skills: Provider licensing, Licensing operations, Multi-state expansion. Manage provider licensing lifecycle. 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"Time-series", "A/B testing", "Causal inference" ], "softSkillsList" : [ "Leadership" ], "hardSkills" : [ { "name" : "Regression", "level" : "intermediate" }, { "name" : "Classification", "level" : "intermediate" }, { "name" : "Clustering", "level" : "intermediate" }, { "name" : "Time-series", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Causal inference", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Leadership" } ], "majorSkills" : "Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "AI/ML Engineering", "Data Strategy", "Business Intelligence" ], "coreResponsibilities" : "Define and execute data and AI strategy, Lead cross-functional teams, Establish data-as-a-product principles, Drive innovation in real-time analytics, Partner with Product, Engineering, and Customer Success teams, Design and oversee high-scale, cloud-native data architectures, Implement highly available, fault-tolerant data pipelines, Lead data modeling initiatives, Work with engineering teams to embed AI-powered features, Drive observability, monitoring, and cost optimization, Oversee the development of ML/AI models, Implement MLOps best practices, Lead initiatives in AI-powered recommendations, Ensure bias-free, ethical AI practices, Build and manage BI tools, Develop product analytics frameworks, Implement embedded analytics solutions, Optimize reporting for SaaS metrics, Own data governance frameworks, Define and implement data lineage, Drive role-based access controls, Champion data democratization", "teamCollaboration" : "Cross-functional teams; Product teams; Engineering teams; Customer Success teams", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "B2B SaaS; Cloud-native architecture; Multi-tenant SaaS; SaaS metrics; GDPR; SOC 2; PIPEDA; CCPA", "domainList" : [ "b2b-saas", "cloud-native-architecture", "multi-tenant-saas", "saas-metrics", "gdpr", "soc-2", "pipeda", "ccpa" ], "domainSpecificKnowledge" : [ "B2B SaaS", "Cloud-native architecture", "Multi-tenant SaaS", "SaaS metrics", "GDPR", "SOC 2", "PIPEDA", "CCPA" ], "toolProficiency" : [ "Collibra", "Informatica", "Alation", "Immuta", "JIRA" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; API documentation; Architecture diagrams", "continuousLearning" : "Growth opportunities", "innovationCreativity" : "Innovation", "problemSolvingSkills" : "Root cause analysis; Troubleshooting", "qualificationsBasic" : "10+ years of experience in data engineering, AI/ML, or analytics leadership roles, SQL proficiency, Master's or PhD in", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer, AWS Data Analytics, Databricks Certified, Dbt Certified", "remoteFriendly" : true, "workSiteFlexibility" : "Flexible", "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity. Skills: Data Engineering, AI/ML Engineering, Data Strategy, Business Intelligence. Define and execute data and AI strategy. 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standards, Align on best practices, Oversee system acceptance testing, Coordinate issue resolution, Drive successful tool adoption, Provide training, Provide enablement initiatives", "teamCollaboration" : "Local teams; Global counterparts; Audit engagement teams; KPMG Global; Other member firms", "projectManagementSkills" : [ "SAT testing" ], "domainKnowledge" : "Audit methodology; Risk assessment", "domainList" : [ "audit-methodology", "risk-assessment" ], "domainSpecificKnowledge" : [ "Audit methodology", "Risk assessment" ], "toolProficiency" : [ "AI Transaction Scoring", "Clara AI" ], "communicationSkills" : "Delivering presentations", "continuousLearning" : "Personal development courses; Professional development courses", "qualificationsBasic" : "Qualified accountant (RA, ACA, CA, CPA), Audit background, Experience in risk assessment, Proven experience with data analytics, Proven experience with AI-driven tools, Experience in audit or assurance context, Stakeholder management skills, Excellent communication skills, Excellent leadership skills", "qualificationsPreferred" : "Command of Dutch", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "As Manager Assurance Data & Analytics AI Tooling in Amstelveen, you lead AI-driven audit analytics solutions, shaping how audit teams use data and technology to perform risk assessments and generate audit evidence at scale. Your challenges * Drive the adoption and effective use of AI Transaction Scoring and Clara AI within audit engagements. * Act as product owner, defining and prioritising enhancements aligned with audit methodology. * Support audit teams with technical guidance on AI-driven risk assessment and outputs. * Lead a team delivering high-quality insights and business cases from analytics tools. * Coordinate global alignment, SAT testing, and successful tool releases. As Manager Assurance Data & Analytics AI Tooling, you operate at the intersection of audit and technology within KPMG’s Digital Assurance & Innovation team. You act as the product owner and central coordinator for AI Transaction Scoring (AITS) and Clara AI, ensuring these tools are effectively deployed, adopted, and continuously improved across the audit practice. You work closely with audit engagement teams, supporting them in applying advanced analytics to perform full-population transaction testing and data-driven risk assessments. You are the primary point of contact for technical queries and play a key role in translating complex analytics outputs into actionable insights. In this role, you also lead a team responsible for delivering business cases and insights, ensuring high-quality outcomes and developing team capabilities. You collaborate with KPMG Global and other member firms, aligning on releases, governance standards, and best practices. Additionally, you oversee system acceptance testing (SAT), coordinate issue resolution, and help drive successful tool adoption through training and enablement initiatives. You will be part of a dynamic, innovation-driven environment within Digital Assurance & Innovation, where audit and technology come together to shape the future of the profession. About the team At KPMG’s Digital Assurance & Innovation (Daní), audit and technology converge in a dynamic, scale-up-like environment. The team develops innovative solutions that prepare the audit function for the future, combining business insight with cutting-edge technology to deliver value in new ways. ## Qualifications * Qualified accountant (e.g. RA, ACA, CA, CPA) with a strong audit background and experience in risk assessment. * Proven experience with data analytics or AI-driven tools within an audit or assurance context. * Strong stakeholder management skills, able to work with both local teams and global counterparts. * Excellent communication and leadership skills, comfortable leading teams and delivering presentations. * In addition to English, a strong command of Dutch would be advantageous in order to effectively collaborate with local audit teams and stakeholders across the internal teams. ## Additional Information * Gross salary between €5,085 and €5,500 per month depending on your work experience, variable performance based reward, a fixed expense allowance and a fixed working from home allowance per working day. * 30 vacation days (on a full-time basis) and the option to buy more days or sell your vacation days. * At KPMG we work hybrid, so you can work from home, from the client or at the office. * A completely furnished home office. * A lease car or a mobility budget. * A laptop and iPhones. * Choice to pick from different courses which contribute to your own personal and professional development. * Diversity networks in the areas of pride, gender, ability, cultural diversity, and generations that regularly organize various activities to celebrate differences! * Focus on well-being! There is a gym at the Amstelveen office or you can get a discount for a gym near your house and you get access to different health and/or vitality programs. * ‘Together’ is one of our core values. So you can count on different social activities, like team events, drinks with colleagues and events with all your KPMG colleagues", "summaryDescription" : "Manager Assurance Data & Analytics AI Tooling at KPMG Nederland. Skills: AI Tooling, Data Analytics, Audit. Lead AI-driven audit analytics solutions. Shape how audit teams use data", "postedDate" : "2026-06-15T07:22:59.000", "createdAt" : "2026-06-16T00:19:37.347", "lastUpdated" : "2026-06-16T11:34:17.053", "ingestTimestamp" : "2026-06-16T00:19:37.347", "mongoId" : "6a306b59f292fd229cfd01e4", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Transaction testing", "Data-driven risk assessments", "Leadership", "AI Tooling", "Data Analytics", "Audit", "Risk assessment", "Audit methodology", "Business cases", "SAT testing", "RA", "ACA", "CA", "CPA", "AI Transaction Scoring", "Clara AI" ], "skillCount" : 16, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8ced74d8ee00a0977ab1", "title" : "Marketing Analytics & Optimization Specialist", "company" : "ZODL", "industry" : "Marketing", "salary" : { "min" : 100000.0, "max" : 140000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-15T07:02:30.930", "fingerprint" : "4589fea7b489efdf5a8e5a67364338074a50606a22a1afe32a275488513a319f", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/zodl/cee86612-7f08-4e99-8fbd-c63f24904b1a/application", "externalId" : "cee86612-7f08-4e99-8fbd-c63f24904b1a", "industryFunction" : { }, "structuredLocations" : [ { "workMode" : "remote" } ], "locationText" : "", "employmentType" : "FULL_TIME", "experienceMinYears" : 3, "technicalSkills" : "AI tools, Automation workflows, Google Analytics, App radar, Search Console, Mixpanel, SEO", "professionalSkills" : [ "Analytical thinking", "Creative marketing", "Experimentation", "Content creation", "Campaign strategy", "Growth initiatives", "Reporting systems", "Workflow optimization", "Keyword research", "Organic growth" ], "hardSkillsList" : [ "Marketing analytics", "Growth marketing", "Performance marketing", "Optimization", "Product marketing", "Data-driven marketing", "A/B testing", "Creative performance evaluation", "SEO principles", "Keyword research", "Organic growth strategies", "Pattern recognition" ], "softSkillsList" : [ "Critical thinking" ], "hardSkills" : [ { "name" : "Marketing analytics", "level" : "intermediate" }, { "name" : "Growth marketing", "level" : "intermediate" }, { "name" : "Performance marketing", "level" : "intermediate" }, { "name" : "Optimization", "level" : "intermediate" }, { "name" : "Product marketing", "level" : "intermediate" }, { "name" : "Data-driven marketing", "level" : "intermediate" }, { "name" : "A/B testing", "level" : "intermediate" }, { "name" : "Creative performance evaluation", "level" : "intermediate" }, { "name" : "SEO principles", "level" : "intermediate" }, { "name" : "Keyword research", "level" : "intermediate" }, { "name" : "Organic growth strategies", "level" : "intermediate" }, { "name" : "Pattern recognition", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Critical thinking" } ], "majorSkills" : "Marketing analytics, Growth marketing, Optimization, Experimentation", "majorSkillsList" : [ "Marketing analytics", "Growth marketing", "Optimization", "Experimentation" ], "coreResponsibilities" : "Analyze performance across channels, Track performance across socials, Track performance across websites, Track performance across App Store, Track performance across campaigns, Build dashboards, Build reporting systems, Connect marketing activity to user growth, Identify visuals that drive engagement, Identify narratives that drive engagement, Identify formats that drive engagement, Identify messaging that drives engagement, Link marketing engagement to Zodl downloads, Link marketing engagement to signups, Link marketing engagement to monthly active users, Link marketing engagement to product performance, Identify bottlenecks, Identify friction points, Use pattern recognition to identify resonance, Help replicate resonance, Identify AI tools, Implement AI tools, Optimize AI tools, Build workflows for efficiency, Build workflows for scalability, Build workflows for reporting, Build workflows for research, Build workflows for knowledge management, Build workflows for visibility, Explore AI for marketing operations, Explore AI for experimentation, Explore AI for content workflows, Explore AI for decision-making, Contribute to content creation, Collaborate with marketing team, Brainstorm marketing ideas, Develop creative direction, Plan launches, Plan announcements, Develop campaign strategy, Test narratives, Test formats, Test audiences, Test distribution strategies, Test engagement tactics, Recommend marketing actions, Iterate on marketing actions, Stop marketing actions, Surface high-leverage opportunities, Quantify impact, Provide rationale for prioritization, Develop hypotheses, Design experiments to validate hypotheses, Build culture of iteration, Build culture of data-driven learning, Improve SEO visibility, Improve conversion visibility", "teamCollaboration" : "Marketing Director; Comms Lead; Marketing team; Content & Comms Lead", "domainKnowledge" : "Zcash; Privacy; Financial sovereignty; Open systems; Digital money; User psychology", "domainList" : [ "zcash", "privacy", "financial-sovereignty", "open-systems", "digital-money", "user-psychology" ], "domainSpecificKnowledge" : [ "Zcash", "Privacy", "Financial sovereignty", "Open systems", "Digital money", "User psychology" ], "toolProficiency" : [ "Google Analytics", "App radar", "Search Console", "Mixpanel", "AI tools" ], "innovationCreativity" : "Creative marketing instincts; Creative collaboration", "problemSolvingSkills" : "Analytical thinking; Pattern recognition; Identify bottlenecks; Identify friction points; Root cause analysis", "outcomesObjectives" : "Increase Zodl adoption; Increase ecosystem engagement; Refine marketing strategy; Improve marketing effectiveness; Improve marketing efficiency; Improve user acquisition; Improve user retention; Improve user conversion; Identify new growth opportunities; Identify optimization paths; Build scalable growth systems; Build scalable reporting systems; Prioritize channels; Build marketing organization rooted in evidence", "qualificationsBasic" : "3+ years marketing analytics, 3+ years growth marketing, 3+ years performance marketing, 3+ years optimization, 3+ years product marketing, 3+ years data-driven marketing, Experience content marketing, Experience communications marketing, Experience campaigns marketing, Experience social media marketing, Experience creative marketing, Experience audience psychology, Connect marketing to product outcomes, Experience running A/B tests, Evaluate creative performance, Hands-on AI tools experience, Hands-on automation workflows experience, Hands-on analytics platforms experience, Hands-on reporting platforms experience, Experience SEO principles, Experience keyword research, Experience organic growth strategies, Understand marketing positioning, Understand marketing messaging, Understand user psychology, Understand product adoption, Translate signals into recommendations, Translate signals into prioritizations, Translate signals into strategies", "qualificationsPreferred" : "Experience working in crypto, Genuine interest in Zcash, Genuine interest in privacy, Genuine interest in financial sovereignty, Genuine interest in open systems, Genuine interest in future of digital money", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Location: Remote Reports to: Marketing Director Compensation: $100k-140k ABOUT ZODL Our mission at Zcash Open Development Lab (ZODL) is to put shielded ZEC into the hands of billions of people, and to that end, we created and launched Zodl, a Zcash-powered mobile wallet built for private payments. Along with other independent Zcash teams and developers, our team also supports Zcash through protocol development. THE ROLE We’re looking for a Marketing Analytics & Optimization Specialist to help drive the next phase of growth for ZODL and the Zodl wallet. This role sits at the intersection of analytics, experimentation, content, and growth. You’ll work closely with our Marketing Director and Comms Lead to understand what drives attention, engagement, conversion, retention, and long-term adoption across our marketing and ecosystem efforts. You will help build the analytical foundation behind our marketing organization. You will identify patterns, measure performance, improve efficiency, and help us make smarter decisions across content, campaigns, user acquisition, and growth initiatives. You will help us understand what resonates, which initiatives drive results, and how we should optimize every aspect of our marketing to increase Zodl adoption and overall ecosystem engagement. This role is ideal for someone who combines strong analytical thinking with creative marketing instincts. You should be comfortable moving between analytics, experimentation, and creative collaboration across the broader marketing function. WHY THIS ROLE MATTERS Marketing decisions are often driven by instinct, assumptions, trends, and vanity metrics. We want to build something more rigorous. To grow Zodl adoption, we need to understand what leads to meaningful conversions. You'll help us measure performance, identify opportunities, improve efficiency, and guide decision-making through data rather than assumptions. You will help us treat marketing like a science: form hypotheses, test, measure, and iterate. But numbers alone are not enough. The goal of this role is not simply to report metrics, but to deeply understand how positioning, messaging, content, design, product perception, and user psychology influence growth and adoption. You will be a foundational pillar of our new marketing team. Your work will help us: - Refine marketing strategy using analytics and experimentation - Improve the effectiveness and efficiency of the marketing organization - Improve user acquisition, retention, and conversion - Identify new growth opportunities and optimization paths - Build scalable growth and reporting systems - Prioritize channels that matter - Build a marketing organization rooted in evidence, not guesswork WHAT YOU’LL DO Analyze performance across channels - Track performance across socials, websites, App Store listings, campaigns, and other channels - Build dashboards and reporting systems that show what’s working in real time Connect marketing activity to user growth - Identify which visuals, narratives, formats, and messaging produce the strongest engagement and downstream conversions, not just engagement - Link marketing engagement to Zodl downloads, signups, monthly active users, and other product performance metrics - Identify bottlenecks and friction points - Use pattern recognition to identify what consistently resonates and help us replicate it AI systems + workflow optimization - Help identify, implement, and optimize AI tools and automation systems across the marketing organization - Build workflows that improve efficiency, scalability, reporting, research, knowledge management, and visibility across the team - Explore how AI can improve marketing operations, experimentation, content workflows, and decision-making Content, creation, collaboration, and experimentation - Contribute to content creation across marketing channels when needed, including social posts, articles, clips, and other lightweight marketing assets - Collaborate closely with the marketing team on brainstorming, creative direction, launches, announcements, and campaign strategy - Work with the Content & Comms Lead to test narratives, formats, audiences, distribution strategies, and engagement tactics - Think critically about how content, analytics, psychology, and distribution interact to drive growth Drive data-informed decisions - Recommend what we should do more of, iterate on, or stop doing entirely - Surface high-leverage opportunities based on trends, performance, and experimentation - Quantify impact and provide clear rationale for prioritization - Develop hypotheses and design experiments to validate them - Build a culture of iteration and data-driven learning SEO + discoverability optimization - Improve visibility and conversion across platforms such as App Store, Google Search, social platforms, and other discovery surfaces - Optimize titles, descriptions, keywords, metadata, landing pages, and content structures for discoverability and performance - Identify search trends and organic growth opportunities related to Zcash and Zodl Weekly strategic insights and reporting You’ll deliver concise, high-value weekly reports summarizing: - Key performance metrics - Trends in user behavior - Insights from experiments - Industry and competitor trends - Product performance - Recommendations You’ll help create a clear picture of what’s moving the needle, what isn’t, and where the biggest growth opportunities exist. What Makes You a Great Fit - You are deeply curious and enjoy figuring out why something works or doesn’t work - You understand funnels, how users move through acquisition, activation, retention, and referral flows - You can synthesize data, trends, feedback, research, and performance insights from multiple sources into clear recommendations - You lean naturally toward analytics, numbers, experimentation, systems, and optimization, but you also genuinely enjoy the creative side of marketing and want to contribute beyond dashboards and reporting - You are comfortable creating marketing content when needed, which includes writing posts, creating and editing videos, and exploring other forms of promotional and educational content. - You have strong growth instincts and enjoy experimenting with ideas, formats, messaging, and channels - You are comfortable working across multiple tools, platforms, and workflows, and constantly looking for ways to optimize the process - You communicate insights clearly and can translate data into actionable recommendations - You handle ambiguity well and enjoy improving imperfect systems over time - You handle feedback well and care more about improving outcomes than protecting a particular idea - You are highly collaborative and also can manage projects independently and execute consistently in a remote environment - You are proactive and comfortable operating with autonomy in a fast-moving environment - You are highly organized REQUIREMENTS - Experience working in crypto and genuine interest in Zcash, privacy, financial sovereignty, open systems, and the future of digital money - 3+ years of experience in marketing analytics, growth marketing, performance marketing, optimization, product marketing, or related data-driven marketing roles - Experience in content, communications, campaigns, social media, or other marketing roles that demonstrate strong creative instincts and understanding of audience psychology - Demonstrated ability to connect marketing activity to product outcomes: downloads, signups, retention, monthly active users, and measurable growth. - Strong analytical and pattern-recognition skills, with the ability to spot trends, anomalies, and insights across large data sets. - Experience running A/B tests and evaluating creative performance across channels (social, website, app store, campaigns). - Hands-on experience with AI tools and automation workflows - Hands-on experience with analytics and reporting platforms such as Google Analytics, App radar, Search Console, Mixpanel and similar tools - Experience with SEO principles, keyword research, and organic growth strategies - Ability to understand marketing performance within the broader context of positioning, messaging, user psychology, and product adoption - Ability to translate signals from across marketing, product, user behavior, analytics, and ecosystem activity into clear recommendations, prioritizations, and strategies", "summaryDescription" : "Marketing Analytics & Optimization Specialist at ZODL. Skills: Marketing analytics, Growth marketing, Optimization, Experimentation. Analyze performance across channels. Track performance across socials", "createdAt" : "2026-06-14T09:29:10.296", "lastUpdated" : "2026-06-15T07:02:30.930", "ingestTimestamp" : "2026-06-14T09:29:10.296", "mongoId" : "6a2c8ced74d8ee00a0977ab1", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 100000, "salaryAnnualMax" : 140000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Marketing analytics", "Growth marketing", "Performance marketing", "Optimization", "Product marketing", "Data-driven marketing", "A/B testing", "Creative performance evaluation", "SEO principles", "Keyword research", "Organic growth strategies", "Pattern recognition", "Critical thinking", "Experimentation", "Analytical thinking", "Creative marketing", "Content creation", "Campaign strategy", "Growth initiatives", "Reporting systems", "Workflow optimization", "Organic growth", "Zcash", "Privacy", "Financial sovereignty", "Open systems", "Digital money", "User psychology", "Google Analytics", "App radar", "Search Console", "Mixpanel", "AI tools" ], "skillCount" : 33, "jobCategory" : "marketing", "jobSubcategory" : "growth", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.97 }, { "id" : "6a3074d9f292fd229c009d20", "title" : "Director, Data and AI Engineering", "company" : "Benevity", "industry" : "Technology", "salary" : { "min" : 175000.0, "max" : 250000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for Director, Data and AI Engineering in Calgary, Canada, adjusted for SaaS industry and company size." }, "location" : "Calgary, Alberta", "locations" : [ "Calgary, Alberta", "Vancouver, British Columbia" ], "timestamp" : "2026-06-16T11:55:49.932", "fingerprint" : "48d6e9e7d6092e824c8f4e626ef408c40aef8877a09c5443b28ff1eaf3b039e9", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/benevity/863fc534-814d-4aed-a969-d52dd5e43dc2/application", "externalId" : "863fc534-814d-4aed-a969-d52dd5e43dc2", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calgary", "state" : "Alberta", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "51.0456064,-114.0575410" } ], "locationText" : "Calgary, Alberta, Canada", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "remoteFriendly" : true, "rawDescription" : "MEET BENEVITY Benevity is the way the world does good, providing companies (and their employees) with technology to take social action on the issues they care about. Through giving, volunteering, grantmaking, employee resource groups and micro-actions, we help most of the Fortune 100 brands build better cultures and use their power for good. We’re also one of the first B Corporations in Canada, meaning we’re as committed to purpose as we are to profits. We have people working all over the world, including Canada, Spain, Switzerland, the United Kingdom, the United States and more! We are seeking a Director of Data and ML/AI Engineering to lead our data and AI technology strategy, architecture, and execution within our B2B SaaS Benevity Impact Platform. This role is pivotal in enabling data-driven decision-making, product intelligence, and AI-powered services and automation across our platform. The ideal candidate will have deep expertise in scalable data engineering, AI/ML systems and services, and cloud-based data architectures, with a track record of building highly available, real-time analytics, and ML/AI-driven solutions for SaaS platforms. This role will oversee data science, data modeling, business intelligence, governance, and ML/AI systems engineering, ensuring alignment with our client and business needs. What you’ll do: Leadership & Data Strategy - Define and execute the data and AI strategy for our SaaS platform, ensuring alignment with business objectives and customer needs. - Lead cross-functional teams across data engineering, AI/ML, BI, and governance to deliver scalable, high-impact solutions. - Establish data-as-a-product principles, ensuring data assets are secure, reusable, and monetizable within our platform. - Drive innovation in real-time analytics, AI-powered automation and intelligence for clients. - Partner with Product, Engineering, and Customer Success teams to enhance data-driven insights, reporting, and self-service analytics. Data Engineering & Platform Architecture - Design and oversee high-scale, cloud-native data architectures that support real-time streaming, data lakes / lakehouses, and enterprise warehousing. - Implement highly available, fault-tolerant data pipelines to process, store, and serve insights across the platform. - Lead data modeling initiatives to optimize data structures for analytics, ML training, and business reporting. - Work with engineering teams to embed AI-powered features into the SaaS platform, enabling smart automation, anomaly detection, and personalization. - Drive observability, monitoring, and cost optimization across our cloud-based data infrastructure. AI/ML Engineering & Data Science - Oversee the development of ML/AI models, ensuring they are scalable, explainable, and deployed effectively in production. - Implement MLOps best practices, including CI/CD for models, versioning, and real-time inference. - Lead initiatives in AI-powered recommendations, predictive analytics, NLP, and generative AI to enhance our product offerings. - Ensure bias-free, ethical AI practices and compliance with industry AI standards and regulations. Business Intelligence & Product Analytics - Build and manage BI tools, dashboards, and self-service analytics to provide real-time insights to clients and internal stakeholders. - Develop product analytics frameworks, tracking user behavior, adoption, and feature engagement. - Implement embedded analytics solutions that allow clients to gain actionable insights from their data. - Optimize reporting for SaaS metrics (MRR, ARR, churn, retention, LTV, NPS) and drive data-informed decision-making. Data Governance & Compliance - Own data governance frameworks, ensuring data privacy, security, and compliance (GDPR, SOC 2, PIPEDA, CCPA, etc.). - Define and implement data lineage, metadata management, and master data management (MDM) best practices. - Drive role-based access controls (RBAC, ABAC or ReBac) and ensure secure, auditable data sharing within our SaaS ecosystem. - Champion data democratization, enabling teams to access trusted, well-documented data. What you’ll bring: - 10+ years of experience in data engineering, AI/ML, or analytics leadership roles, ideally in B2B SaaS or cloud-based platforms - Strong expertise in scalable data architectures, ML/AI systems, and embedded analytics - Proven track record in leading high-performance teams, managing budgets, and delivering data-driven product innovations - Experience with multi-tenant SaaS data governance, compliance (SOC 2, GDPR, etc.), and customer-facing analytics - Familiarity with emerging AI trends, including LLMs, Generative AI, and responsible AI frameworks - Familiarity with SaaS product analytics and AI-powered automation use cases - Master’s or PhD in Computer Science, Data Science, AI/ML, or a related field is preferred Technical Skills & Expertise - Data & AI Stacks (Cloud-Native, SaaS-Optimized) - Data Engineering & Storage: BigQuery, Redshift, Delta Lake, Snowflake, Databricks - AI/ML Frameworks: Azure AI, TensorFlow, PyTorch, Hugging Face, MLflow, Vertex AI - MLOps & Pipelines: Kubeflow, SageMaker, Airflow, Feature Stores, DataRobot - BI & Analytics Tools: Looker, Power BI, Mode Analytics, Amplitude, Mixpanel - Data Governance & Security: Collibra, Informatica, Alation, Immuta - Cloud & DevOps: AWS (S3, Lambda, Kinesis), GCP (BigQuery, Pub/Sub), Kubernetes, Terraform - Programming: Python, SQL, Scala, Java - Streaming & Real-Time Data: Kafka, Flink, Apache Beam DISCOVER YOUR PURPOSE AT WORK We’re not employees, we’re Benevity-ites. From all locations, backgrounds and walks of life, who deserve more … Innovative work. Growth opportunities. Caring co-workers. And a chance to do work that fills us with a sense of purpose. If the idea of working on tech that helps people do good in the world lights you up ... If you want a career where you’re valued for who you are and challenged to see who you can become … It’s time to join Benevity. We’re so excited to meet you. WHERE WE WORK At Benevity, we embrace a flexible hybrid approach to where we work that empowers our people in a way that supports great work, strong relationships, and personal well-being. For those located near one of our offices, while there’s no set requirement for in-office time, we do value the moments when coming together in person helps us build connection and collaboration. Whether it’s for onboarding, project work, or a chance to align and bond as a team, we trust our people to make thoughtful decisions about when showing up in person matters most. JOIN A COMPANY WHERE DEIB ISN’T A BUZZWORD Diversity, equity, inclusion and belonging are part of Benevity’s DNA. You’ll see the impact of our massive investment in DEIB daily — from our well-supported employee resources groups to the exceptional diversity on our leadership and tech teams. We know that diverse backgrounds, experiences, skills and passions are what move our business and our people forward, so we're committed to creating a culture of belonging with equal opportunities for everyone to shine. That starts with a fair and accessible hiring process. If you want to feel seen, heard and celebrated, you belong at Benevity. Candidates with disabilities who may require accommodations throughout the hiring or assessment process are encouraged to reach out to accommodations@benevity.com.", "summaryDescription" : "Director, Data and AI Engineering at Benevity", "createdAt" : "2026-06-16T00:25:36.052", "lastUpdated" : "2026-06-16T11:55:49.932", "ingestTimestamp" : "2026-06-16T00:25:36.052", "mongoId" : "6a3074d9f292fd229c009d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "150k-200k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Director", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a307a21f292fd229c03866c", "title" : "Manager, Data Analytics", "company" : "Empower Pharmacy", "industry" : "Pharma", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline data for a Manager, Data Analytics in Houston, United States, adjusted for the healthcare industry and manager seniority." }, "location" : "Houston, Texas, United States", "locations" : [ "Houston", "Texas", "United States" ], "timestamp" : "2026-06-16T13:26:43.592", "fingerprint" : "05f21b76f4c8516ae23bcccc23667970a3adf873d1d9a6b9878b1eb579f324ae", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.empowerpharmacy.com/jobs/4282342009?gh_jid=4282342009", "externalId" : "4282342009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Houston", "state" : "Texas", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "29.7589382,-95.3676974" } ], "locationText" : "Houston, Texas, United States", "experienceMinYears" : 5, "experienceLevel" : "Manager", "technicalSkills" : "AI", "professionalSkills" : [ "Data governance", "Compliance" ], "hardSkillsList" : [ "Data analytics" ], "softSkillsList" : [ "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively" ], "hardSkills" : [ { "name" : "Data analytics", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Customer Focus" }, { "name" : "Strategic AI" }, { "name" : "Optimizes Work Processes" }, { "name" : "Collaborates" }, { "name" : "Resourcefulness" }, { "name" : "Manages Complexity" }, { "name" : "Ensures Accountability" }, { "name" : "Situational Adaptability" }, { "name" : "Communicates Effectively" } ], "coreResponsibilities" : "Leverage AI to drive business innovation, Enhance data analytics capabilities", "domainKnowledge" : "Healthcare; Pharmaceutical manufacturing", "domainList" : [ "healthcare", "pharmaceutical-manufacturing" ], "domainSpecificKnowledge" : [ "Healthcare", "Pharmaceutical manufacturing" ], "specialRequirements" : "Talk and hear, Remain stationary, Use hands and fingers, Move about the office, Stand, walk, reach, Climb or balance, Stoop, kneel, crouch or crawl", "qualificationsBasic" : "5 years of experience in data analytics, 2 years in a leadership position, Experience in a highly regulated industry", "qualificationsPreferred" : "Proven track record of leveraging AI", "remoteFriendly" : false, "rawDescription" : "Empower Pharmacy is a visionary healthcare company dedicated to making quality, affordable medication accessible to millions of patients nationwide. As the nation’s most advanced 503A compounding pharmacy and FDA-registered 503B outsourcing facility, we’re redefining what’s possible in personalized medicine and pharmaceutical manufacturing. We’re proud to be recognized as one of Houston’s fastest-growing private companies and ranked #116 in Healthcare Master’s preferred. Minimum of 5 years of experience in data analytics or related roles, with at least 2 years in a leadership position. Proven track record of leveraging AI to drive business innovation and enhance data analytics capabilities. Experience in a highly regulated industry, with a deep understanding of data governance and compliance. Key Competencies: Customer Focus: Builds trust through customer-centric solutions. Strategic AI: Guides responsible AI adoption and adaptation. Optimizes Work Processes: Drives efficiency with continuous improvement. Collaborates: Partners effectively to achieve shared goals. Resourcefulness: Secures and deploys resources efficiently. Manages Complexity: Simplifies and solves complex challenges. Ensures Accountability: Delivers on commitments with integrity. Situational Adaptability: Adjusts approach to shifting conditions. Communicates Effectively: Tailors messages to diverse audiences. Values: People: Empowering people defines who we are. Quality: Excellence in every product, every time. Service: Serving others is our highest purpose. Innovation: Advancing care through technology and discovery. Employee Benefits, Health and Wellness: We offer comprehensive benefits to support your health, well-being, and future, including medical, dental, and vision coverage, paid time off, 401(k) matching, wellness perks, IV therapy, and compounded medications. Learn more: https://careers.empowerpharmacy.com/benefits/ Physical Requirements: While performing the responsibilities of the job, the employee is required to talk and hear. The employee is often required to remain in a stationary position for a significant amount of the workday and frequently use their hands and fingers to handle or feel in order to access, input, and retrieve information from the computer and other office productivity devices. Employees are regularly required to move about the office and around the corporate campus. The employee is regularly required to stand, walk, reach with arms and hands, climb or balance, and to stoop, kneel, crouch or crawl.", "summaryDescription" : "Manager, Data Analytics at Empower Pharmacy. Leverage AI to drive business innovation. Enhance data analytics capabilities", "postedDate" : "2026-06-16T01:17:33.811", "createdAt" : "2026-06-16T01:17:33.811", "lastUpdated" : "2026-06-16T13:26:43.592", "ingestTimestamp" : "2026-06-16T01:17:33.811", "mongoId" : "6a307a21f292fd229c03866c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data analytics", "Customer Focus", "Strategic AI", "Optimizes Work Processes", "Collaborates", "Resourcefulness", "Manages Complexity", "Ensures Accountability", "Situational Adaptability", "Communicates Effectively", "Data governance", "Compliance", "Healthcare", "Pharmaceutical manufacturing" ], "skillCount" : 14, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a30512ff292fd229cefbdfc", "title" : "Principal, Web Optimization & Data Operations", "company" : "Nintendo", "salary" : { "min" : 145150.0, "max" : 261200.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Redmond, WA", "locations" : [ "Redmond", "WA" ], "timestamp" : "2026-06-16T09:26:25.875", "fingerprint" : "d5a5aa3de493c51cbdcee25f5fbdbeeb3e85a4a44dc2bac632255219ea56d70c", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://careers.nintendo.com/?gh_jid=4257908009", "externalId" : "4257908009", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Redmond", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "47.6694141,-122.1238767" } ], "locationText" : "Redmond, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Nintendo of America About Nintendo of America: From the launch of the Nintendo Entertainment System™ more than 30 years ago, Nintendo’s mission has been to create smiles through unique entertainment experiences. Here at Nintendo of America Inc., we deliver on this mission by partnering closely with Nintendo Co., Ltd., to bring Nintendo’s iconic and cherished franchises including Mario™, Donkey Kong™, The Legend of Zelda™, Metroid™, Animal Crossing™, Pikmin™ and Splatoon™ across the Americas through our video games, hardware systems, and collaborations with partners on a range of other entertainment initiatives like feature films and theme parks. We are an equal opportunity employer offering a welcoming and inclusive environment in service to one another, our products, and the diverse consumers and communities we call home. For more information about Nintendo, please visit the company’s website at https://www.nintendo.com/. SUMMARY: As a subject matter expert, crafts complex scalable business solutions that retrieve and aggregate data from multiple sources to present in a digestible and actionable format for various Nintendo business groups. Channels may vary such as web, retail, etc. Delivers recommendations for improvement to all analytic lines of thinking and technical solutions. DESCRIPTION OF DUTIES Responsible for the end-to-end process and analysis of channel analytics for Nintendo’s marketing. Owner and domain expert of channel analytics and provides insights used to develop digital experiences to attract, engage, and convert customers. Responsible for analytics tracking including design. Ensure data integrity and accuracy including document and maintain tagging library, data dictionary, and ensure solutions are aligned with business objectives. Researches, designs and implements reporting infrastructure that leads to automated and flexible reporting. Design and build dashboards, recurring reports and ad hoc analysis to track key performance indicators and communicate trends effectively. Analyzes and synthesizes multiple data sources to provide actionable insight on customer behavior data and identify opportunities to improve experience. Provides statistical data analysis to support optimization in developing relevant personalization and experimentation of feature displays on Nintendo websites. Leverage advance analytical techniques such as predictive modeling to drive performance. Monitor industry trends, programs and tools that develops the web analytics practice in Marketing. SUMMARY OF REQUIREMENTS Minimum of seven (7) years of experience with business analysis. Must have excellent analytical skills and ability to read autonomously and efficiently, sanity check and analyze data and deliver actionable recommendations. Minimum of five (5) years of experience with analytics tools such as Adobe Analytics, Google Analytics, Quantum Metric. Minimum of five (5) years of experience with advanced functionalities of Excel. Must be proficient with analytic functions such as pivot tables, formulas and statistical inference. Macros a plus. Experience in working with Data visualization tools such as Tableau, building interactive reports, complex dashboards for different audiences, creating calculated KPIs or metrics by writing complex formulas. Demonstrated strength in BigQuery, Python, R and understanding of data warehousing solutions to facilitate analytics capabilities. Must be able to quickly learn new analytical tools and database infrastructure. Strong written and verbal communication skills to articulate and present findings to others and translate analytical findings into easily understandable, actionable insights. Bachelor’s degree in mathematics, computer science, statistics or other quantitative field preferred. Other degrees are okay if the candidate has strong analytical and quantitative skills and relevant work experience. Advanced degree a plus. Applicants must be legally eligible to work in the United States to be considered. Visa sponsorship is not available for this role. This position is hybrid in Redmond, WA. Hybrid positions require regular onsite work following the schedule and guidelines for their division. This position is not open to fully remote status at this time. This position includes the base pay range listed below, potential for a semi-annual discretionary performance bonus, and a comprehensive benefits package that includes medical, dental, vision, 401(k), and paid time off. Pay Range: $145,150—$261,200 USD", "summaryDescription" : "Principal, Web Optimization & Data Operations at Nintendo", "postedDate" : "2026-06-15T23:16:08.346", "createdAt" : "2026-06-15T23:16:08.346", "lastUpdated" : "2026-06-16T09:26:25.875", "ingestTimestamp" : "2026-06-15T23:16:08.346", "mongoId" : "6a30512ff292fd229cefbdfc", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 145150, "salaryAnnualMax" : 261200, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Media", "llmIndustryConfidence" : 0.95 }, { "id" : "6a307956f292fd229c031713", "title" : "Business Analytics Senior Manager (Product, Healthcare)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 170000.0, "max" : 200000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T11:47:07.937", "fingerprint" : "fc7d27a0914d43ce8d8110918428eee5ce9b1ff7653395b55a4d56b926fb51ae", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/fe6496d7-3e80-4321-9463-e0b4d57ed2c5/application", "externalId" : "fe6496d7-3e80-4321-9463-e0b4d57ed2c5", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 8, "experienceLevel" : "Manager", "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, GCP, Azure", "professionalSkills" : [ "Product analytics", "Business intelligence", "Data engineering", "Machine learning", "Statistical modeling", "Quantitative analysis" ], "hardSkillsList" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning models", "A/B testing", "Causal inference" ], "hardSkills" : [ { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Data modeling", "level" : "intermediate" }, { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning models", "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 execute data science strategies, Build and maintain data pipelines, Design and implement ML models, Develop BI dashboards and reports, Conduct advanced statistical analysis, Perform A/B testing and causal inference, Collaborate with product teams, Mentor junior analysts", "teamCollaboration" : "Product teams; Engineering teams; Data science teams", "domainKnowledge" : "Healthcare data", "domainList" : [ "healthcare-data" ], "domainSpecificKnowledge" : [ "Healthcare data" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker" ], "communicationSkills" : "Executive presentations; Technical documentation", "documentationSkills" : "Technical writing; Architecture diagrams", "problemSolvingSkills" : "Root cause analysis; Data-driven decision making", "qualificationsBasic" : "8+ years of experience, Bachelor's degree, SQL proficiency", "qualificationsPreferred" : "Master's degree or PhD, Experience with ML frameworks, Cloud platform certifications", "rawDescription" : "At WHOOP, we're on a mission to unlock human performance. WHOOP empowers users to perform at a higher level through a deeper understanding of their bodies and daily lives. We’re seeking a strategic, insights-oriented Health Product Analytics Senior Manager to join our Product Analytics team and support the Healthcare Product group. This role is ideal for someone who is passionate about behavior change, health outcomes, and creating world-class digital experiences. You’ll support the development of new features focused on early detection, physiological coaching, and personalized health guidance. We are looking for an individual who can be fluent in data, driven by product thinking and is looking to deeply understand and tackle complex analytics challenges. This person should feel empowered to foster their own curiousity and raise support for ideas that meaningfully impact the WHOOP member experience. Ultimately this person should feel comfortable getting their hands dirty as a player-coach, leading and developing analysts alongside their own workstreams. RESPONSIBILITIES: - - Partner with key stakeholders across the Product team, as well as Software, UX, Data Science, Marketing, and Strategic Finance teams to align on goals and quantify impact for key member touchpoints, and identify new sources of value for our members. - Help build and refine health-specific KPIs, including engagement with relevant features, adoption of recommended behaviors, and member-reported value. - Uncover insights about key member segments — including those managing hormonal health, cardiometabolic health, or looking for more personalized wellness support. - Create repeatable tools and processes for analytics across new health features and algorithms— from data pipelines to dashboards and weekly health performance reviews. - Generate and drive the strategic analytic roadmap to unlock insights about our members, how they are using the product and guide our product team with action-oriented recommendations. - Collaborate with a high-performance team, providing thought leadership to identify the most impactful ways to drive decisions and improve retention. - Manage, mentor, and grow a team of analysts, fostering a culture of high performance and continuous improvement. QUALIFICATIONS: - - 8+ years of experience in a deeply strategic/analytical role, including partnership with product and development teams and - Direct experience leading and developing a team, including driving large projects and mentoring junior analysts. - A true player-coach; able to independently take broad business questions, wrangle appropriate data, quickly isolate and model key insights, visualize results and communicate actionable recommendations. - Strong storytelling skills – able to create compelling and concise presentations that convey actionable solutions to complex, ambiguous problems. - Demonstrated success in influencing senior stakeholders and leadership on strategic direction based on analytical recommendations. - Experience and knowledge running experiments (e.g. A/B testing) and working with development teams - Advanced skills in SQL and understanding of ELT (dbt) and data warehousing (Snowflake) structures, as well as data visualization (eg. Looker, Tableau, Hex) This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $170,000 - $200,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. While most offers will typically fall toward the starting point of the range, total compensation will depend on the candidate’s specific qualifications, expertise, and alignment with the role’s requirements.", "summaryDescription" : "Business Analytics Senior Manager (Product, Healthcare) at WHOOP. Skills: Data science, Data engineering, Machine learning, Business intelligence. Develop and execute data science strategies. Build and maintain data pipelines", "createdAt" : "2026-06-16T01:59:48.701", "lastUpdated" : "2026-06-16T11:47:07.937", "ingestTimestamp" : "2026-06-16T01:59:48.701", "mongoId" : "6a307956f292fd229c031713", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 170000, "salaryAnnualMax" : 200000, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data modeling", "Statistical analysis", "Machine learning models", "A/B testing", "Causal inference", "Data science", "Data engineering", "Machine learning", "Business intelligence", "Product analytics", "Statistical modeling", "Quantitative analysis", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Tableau", "Power BI", "Looker" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Manager", "dataQualityScore" : 0.8888889, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.97 }, { "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. 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Business reviews", "domainKnowledge" : "Healthcare Finance Operations; Accounts Receivable; Accounts Payable; Transactional processes", "domainList" : [ "healthcare-finance-operations", "accounts-receivable", "accounts-payable", "transactional-processes" ], "domainSpecificKnowledge" : [ "Healthcare Finance Operations", "Accounts Receivable", "Accounts Payable", "Transactional processes" ], "toolProficiency" : [ "Tableau", "Quicksight", "Oracle", "Python" ], "communicationSkills" : "Data-driven recommendations", "innovationCreativity" : "Automation solutions; AI-powered analytics", "problemSolvingSkills" : "Analytical insights; Uncover patterns; Identify trends; Identify opportunities", "outcomesObjectives" : "Empower AR/AP departments; Deliver actionable insights; Improve business outcomes", "qualificationsBasic" : "5+ years SQL, 5+ years ETL, 5+ years Oracle experience, 3+ years processing large datasets, 1+ years automated reporting, Experience data visualization, Experience data modeling, Experience building ETL pipelines, Experience using SQL, Scripting experience Python", "qualificationsPreferred" : "AWS solutions experience, Data mining experience, Experience using databases", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Join one of Amazon's most impactful analytics organizations, empowering the world's largest Accounts Receivable and Payable departments through advanced data capabilities and real-time, actionable insights. Our Global Data Analytics (GDA) team is the trusted analytics partner for Finance Operations, providing data-driven solutions across global service centers and functions. We are custodians of data and metrics definitions, applying scientific methods to large-scale transactional processes. We're seeking an exceptional Senior Business Intelligence Engineer for our FinOps Healthcare Data and Analytics team. You'll deliver engineering excellence in data visualization, develop pipelines and build analytics solutions. You’ll identify, design and create automation solutions, using artificial intelligence (inter alia). As a key member of a global team of analytics professionals, you'll be a major contributor to business and process outcomes in the area of Healthcare Finance Operations. Key job responsibilities - Support the organization's strategic business objectives, process outcomes and decisions by analytical insights - Collaborate with business leaders and users to optimize data-driven business processes - Provide reliable, accurate, timely reporting for operations activities and leadership decision making - Design and implement complex, scalable, and high-performance data pipelines and models - Collaborate cross-functionally with technology teams, such as data engineers and data scientists, to define and deliver BI solutions - Build reports and dashboards using Amazon QuickSight - Use advanced analytics techniques, such as statistical analysis and predictive modeling, to uncover hidden patterns, trends and opportunities - Implement AI-powered self-service analytics tools - Identify, evaluate, and implement automation opportunities, incl. AI technology; continuously enhance analytics while reducing manual effort - Represent the BI function in business reviews and provide data-driven recommendations to business and process leaders About the team Global Accounts Payable and Global Accounts Receivable are in charge of all AP and AR processes across Amazon's businesses and geographies. Global Data Analytics (GDA) provide data, analytics and insights to AR and AP. Our mission: \"As trusted and business-focused analytics partners, we provide timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes and use automation to improve efficiency.\" Basic Qualifications: - 5+ years of SQL, ETL or Oracle experience - 3+ years of processing large, multi-dimensional datasets from multiple sources experience - 1+ years of developing automated reporting experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Preferred Qualifications: - Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift - Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $89,600/year in our lowest geographic market up to $185,000/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Senior BI Engineer, Healthcare, Finance Operations, Global Data Analytics at Amazon.com Services LLC. Skills: Business Intelligence, Data Engineering, Analytics. Support business objectives. Collaborate with business leaders", "postedDate" : "2026-06-13T06:34:37.672", "createdAt" : "2026-06-13T06:34:37.672", "lastUpdated" : "2026-06-15T03:25:16.281", "ingestTimestamp" : "2026-06-13T06:34:37.672", "mongoId" : "6931903370f0b99d58087a0f", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3136946/apply", "salaryAnnualMin" : 89600, "salaryAnnualMax" : 185000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data modeling", "ETL pipelines", "Statistical analysis", "Predictive modeling", "Business Intelligence", "Data Engineering", "Analytics", "Data visualization", "Data pipelines", "Analytics solutions", "Automation solutions", "Business processes", "BI solutions", "Self-service analytics", "Analytics automation", "Healthcare Finance Operations", "Accounts Receivable", "Accounts Payable", "Transactional processes", "Tableau", "Quicksight", "Oracle", "Python" ], "skillCount" : 23, "jobCategory" : "other", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare" }, { "id" : "6a3059d2f292fd229cf4b1aa", "title" : "Healthcare Data Architect & Manager", "company" : "Harbor Data Systems", "industry" : "Healthcare", "salary" : { "min" : 165500.0, "max" : 234500.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Manager level Healthcare Data Architect & Manager in Austin, United States, adjusted for industry and company size." }, "location" : "Austin, TX", "locations" : [ "Austin, TX" ], "timestamp" : "2026-06-16T07:23:56.784", "fingerprint" : "af5e6259a19c4b7dc72fe29ef94df42e8a93f4ee2186724995d825dd5d612ad9", "source" : "jazzhr", "language" : "en", "externalId" : "w5lh0JmoWP", "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", "experienceLevel" : "Manager", "technicalSkills" : "SQL, Python, Data Warehousing, Data Modeling, ETL, BI Tools, Cloud Data Platforms, Data Governance, Data Security, Data Privacy, HL7, FHIR", "professionalSkills" : [ "Team Management", "Data Strategy", "Stakeholder Management", "Project Leadership" ], "hardSkillsList" : [ "Data Architecture", "Data Warehousing", "Data Modeling", "ETL Development", "BI Implementation", "Cloud Data Management", "Data Governance Implementation", "Data Security Practices", "Data Privacy Compliance" ], "hardSkills" : [ { "name" : "Data Architecture", "level" : "intermediate" }, { "name" : "Data Warehousing", "level" : "intermediate" }, { "name" : "Data Modeling", "level" : "intermediate" }, { "name" : "ETL Development", "level" : "intermediate" }, { "name" : "BI Implementation", "level" : "intermediate" }, { "name" : "Cloud Data Management", "level" : "intermediate" }, { "name" : "Data Governance Implementation", "level" : "intermediate" }, { "name" : "Data Security Practices", "level" : "intermediate" }, { "name" : "Data Privacy Compliance", "level" : "intermediate" } ], "majorSkills" : "Data Architecture, Team Management, Healthcare Data", "majorSkillsList" : [ "Data Architecture", "Team Management", "Healthcare Data" ], "coreResponsibilities" : "Define and implement data architecture strategy, Oversee data warehousing and data modeling efforts, Manage ETL processes and data integration, Lead the selection and implementation of BI tools, Ensure data quality and integrity, Develop and enforce data governance policies, Manage and mentor a team of data professionals, Collaborate with stakeholders to understand data needs, Ensure compliance with data security and privacy regulations, Stay current with industry trends in data management", "teamCollaboration" : "Cross-functional teams; Business stakeholders", "projectManagementSkills" : [ "Project Leadership" ], "domainKnowledge" : "Healthcare Data; Healthcare Data Standards; HIPAA Regulations", "domainList" : [ "healthcare-data", "healthcare-data-standards", "hipaa-regulations" ], "domainSpecificKnowledge" : [ "Healthcare Data", "Healthcare Data Standards", "HIPAA Regulations" ], "toolProficiency" : [ "BI Tools" ], "communicationSkills" : "Stakeholder communication", "documentationSkills" : "Data Governance Policies; Data Architecture Documentation", "problemSolvingSkills" : "Data challenges", "qualificationsBasic" : "5+ years of experience in data architecture, Experience managing data teams, Experience with data warehousing, Experience with data modeling, Experience with ETL processes, Experience with BI tools, Experience with cloud data platforms", "qualificationsPreferred" : "Master's degree preferred, Experience in healthcare data, Experience with healthcare data standards (e.g., HL7, FHIR), Experience with data governance frameworks, Experience with data security and privacy regulations (e.g., HIPAA)", "summaryDescription" : "Healthcare Data Architect & Manager at Harbor Data Systems. Skills: Data Architecture, Team Management, Healthcare Data. Define and implement data architecture strategy. 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Our flagship product, Counterpart Assistant, is embedded into clinicians’ workflows and integrates with EHR systems, helping care teams drive value-based outcomes, close care gaps, and proactively manage chronic disease. As we expand across Medicare Advantage and other value-based care programs, we need analytical talent that can translate complex clinical and financial data into narratives that drive action, for both our internal teams and our payer and provider customers. You will be part of the analytical engine behind Counterpart Health’s value-based care performance insights. This role sits at the intersection of risk adjustment, quality measurement, utilization management, and cost analytics, and you will be expected to own the metrics that matter most to our payer and provider partners. Beyond the numbers, you are a storyteller: you turn dense claims and clinical data into clear, compelling narratives that help customers understand performance, identify opportunities, and take action. You will work closely with Customer Success, Clinical, and Product teams to ensure our analytics are accurate, trusted, and decision-ready. As a Data Analyst, you will: Build and maintain core Value-Based Care (VBC) performance metrics across risk, quality, utilization, and cost domains, including HCC capture rates, RAF scores, PMPM trends, and inpatient/ED utilization rates. Develop customer-facing analytics, reports, and dashboards that surface actionable performance insights for payer and provider partners in a clear, narrative-driven format. Analyze Medicare Advantage performance data, including risk adjustment, quality bonus payments, and benchmark performance, to identify gaps, trends, and opportunities at the patient, provider, and market level. Translate complex data findings into executive-ready narratives: written summaries, slide-ready visuals, and structured QBR materials that tell a coherent story about performance and next steps. Conduct deep-dive utilization and cost analyses, including high-cost claimant reviews, avoidable utilization patterns, and specialty/pharmacy spend trends, to identify levers for improvement. Partner with Customer Success and Provider Operations teams to prepare and deliver performance reviews (QBRs, monthly reporting packages) that communicate value and surface priority action areas for each customer. Collaborate with Data Engineering to validate claims and clinical data pipelines, flag anomalies, and ensure metric consistency across customer populations. Contribute to the development of scalable analytics infrastructure: reusable SQL libraries, metric definitions, and documentation that enable the team to move faster. You should get in touch if you have: 4+ years of hands-on healthcare data analytics experience, with direct exposure to payer or provider customers in a value-based care context. Deep familiarity with VBC metrics: risk adjustment (HCC coding, RAF scores), utilization (IP admissions, ED visits, readmissions), and cost (PMPM, total cost of care, benchmark vs. actual). Strong SQL skills, able to write complex queries across claims, eligibility, and clinical datasets in cloud-based warehouses (BigQuery, Snowflake, or similar). Exceptional data storytelling ability: you can translate analytical findings into clear narratives and visuals that resonate with both clinical and non-technical audiences. Experience building customer-facing reports and dashboards; comfortable presenting findings to external stakeholders (health plans, provider groups, ACOs). Preferred Qualifications: Medicare Advantage experience, including familiarity with CMS risk adjustment models (CMS-HCC v24/v28), Star Ratings methodology, and MA quality bonus payment structures. Familiarity with clinical terminologies: ICD-10, CPT/HCPCS, NDC, SNOMED, LOINC. Experience using Python or R for data manipulation, cohort analysis, or statistical modeling. Background working with EHR or clinical data alongside claims (e.g., for care gap closure, chronic condition identification, or attribution logic). Prior experience in a health plan, risk-bearing provider group, ACO, or health tech company supporting VBC programs. Benefits Overview: Financial Well-Being: Our commitment to attracting and retaining top talent begins with a competitive base salary and equity opportunities. Additionally, we offer a performance-based bonus program, 401k matching, and regular compensation reviews to recognize and reward exceptional contributions. Physical Well-Being: We prioritize the health and well-being of our employees and their families by providing comprehensive medical, dental, and vision coverage. Your health matters to us, and we invest in ensuring you have access to quality healthcare. Mental Well-Being: We understand the importance of mental health in fostering productivity and maintaining work-life balance. To support this, we offer initiatives such as No-Meeting Fridays, monthly company holidays, access to mental health resources, and a generous flexible time-off policy. Additionally, we embrace a remote-first culture that supports collaboration and flexibility, allowing our team members to thrive from any location. Professional Development: Developing internal talent is a priority for Clover. We offer learning programs, mentorship, professional development funding, and regular performance feedback and reviews. Additional Perks: Employee Stock Purchase Plan (ESPP) offering discounted equity opportunities Reimbursement for office setup expenses Monthly cell phone & internet stipend Remote-first culture, enabling collaboration with global teams Paid parental leave for all new parents And much more! About Counterpart Health: In 2018, Clover Health set out to do something unprecedented: build a clinically intuitive, AI-enabled solution that fits within physicians' workflows to help support the earlier diagnosis and management of chronic conditions. Years later, that vision is a reality, with thousands of practitioners using Counterpart Assistant during patient visits to improve disease management, reduce medical expenses, and drive success in value-based care. With an exceptional team of value-based care and technology experts, Counterpart Health is driving value-based care at the speed of software. Counterpart Health is a subsidiary of Clover Health. From Clover’s inception, Diversity & Inclusion have always been key to our success. We are an Equal Opportunity Employer and our employees are people with different strengths, experiences, perspectives, opinions, and backgrounds, who share a passion for improving people's lives. Diversity not only includes race and gender identity, but also age, disability status, veteran status, sexual orientation, religion and many other parts of one’s identity. All of our employee’s points of view are key to our success, and inclusion is everyone's responsibility. #LI-REMOTE Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. We are an E-Verify company. Final pay is based on several factors including but not limited to internal equity, market data, and the applicant’s education, work experience, certifications, etc. A reasonable estimate of the base salary range for this role is: $96,000—$125,000 USD", "summaryDescription" : "Data Analyst, Value-Based Care Analytics at Counterpart Health. Skills: Data Analytics, Value-Based Care, SQL, Python. Develop and maintain data models. Build and optimize ETL/ELT pipelines", "postedDate" : "2026-06-14T20:06:25.639", "createdAt" : "2026-06-14T20:06:25.639", "lastUpdated" : "2026-06-16T01:26:01.010", "ingestTimestamp" : "2026-06-14T20:06:25.639", "mongoId" : "6a2c967574d8ee00a098fa07", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 96000, "salaryAnnualMax" : 125000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Data analysis", "Data manipulation", "Data visualization", "Statistical modeling", "Machine learning modeling", "ETL processes", "Data warehousing", "Data Analytics", "Value-Based Care", "SQL", "Python", "Data modeling", "Statistical analysis", "Machine learning", "Business intelligence", "Data engineering", "Value-based care", "Healthcare analytics", "Healthcare data", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "R", "Spark", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "AWS", "GCP", "Azure", "SageMaker", "Vertex AI", "Synapse", "ML Studio", "Scikit-learn", "TensorFlow", "PyTorch", "XGBoost", "LightGBM", "Hugging Face", "MLflow", "Tableau", "Power BI", "Looker" ], "skillCount" : 49, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "6a3078d3f292fd229c02d070", "title" : "Graduate Software Engineer (Data, Analytics, Automation & AI)", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 32000.0, "max" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Graduate Software Engineer in Birmingham, UK, adjusted for entry-level seniority and the manufacturing industry." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "certifications" : [ "Azure Fundamentals" ], "timestamp" : "2026-06-16T10:51:56.509", "fingerprint" : "3ac6b8684c2c1d91e6d2e2fecb2a22d7de11dff958e08be85ee946197228a2ed", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132141649-graduate-software-engineer-data-analytics-automation-ai-2-years-ftc", "externalId" : "744000132141649", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Java, Data platforms, AI, Automation, Power BI, Azure, AWS", "professionalSkills" : [ "Software engineering principles", "Business engagement", "System integration", "Data governance", "Data quality" ], "hardSkillsList" : [ "Data preparation", "Data transformation", "Performance tracking", "Process automation", "System optimisation", "Dataset validation", "Solution deployment", "Efficiency improvements" ], "hardSkills" : [ { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "Process automation", "level" : "intermediate" }, { "name" : "System optimisation", "level" : "intermediate" }, { "name" : "Dataset validation", "level" : "intermediate" }, { "name" : "Solution deployment", "level" : "intermediate" }, { "name" : "Efficiency improvements", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, AI, Automation, Software Development", "majorSkillsList" : [ "Data Engineering", "AI", "Automation", "Software Development" ], "coreResponsibilities" : "Support development of software solutions, Support enhancement of software solutions, Support optimisation of software solutions, Support delivery of data use cases, Support delivery of analytics use cases, Support delivery of AI use cases, Develop dashboards, Develop visualisations, Assist building AI solutions, Assist deploying AI solutions, Assist building automation solutions, Assist deploying automation solutions, Work on system integration, Work on system optimisation, Support data governance initiatives, Support data quality initiatives, Collaborate with engineers, Collaborate with data specialists, Collaborate with business stakeholders, Assist with testing solutions, Assist with deployment solutions, Assist with monitoring solutions, Assist with continuous improvement, Help identify automation opportunities, Help identify efficiency improvements, Contribute to documentation, Contribute to training materials, Contribute to user support, Participate in agile delivery", "teamCollaboration" : "Global team; Business stakeholders", "projectManagementSkills" : [ "Agile delivery practices" ], "domainKnowledge" : "Enterprise systems; Data platforms; AI-enabled capabilities; GenAI use cases; Intelligent workflows", "domainList" : [ "enterprise-systems", "data-platforms", "ai-enabled-capabilities", "genai-use-cases", "intelligent-workflows" ], "domainSpecificKnowledge" : [ "Enterprise systems", "Data platforms", "AI-enabled capabilities", "GenAI use cases", "Intelligent workflows" ], "toolProficiency" : [ "Power BI" ], "documentationSkills" : "Documentation", "problemSolvingSkills" : "Problem-solving", "outcomesObjectives" : "Improve operational efficiency; Enable better decision-making; Deliver measurable business value", "qualificationsBasic" : "Foundational software development skills, Understanding of data concepts, Basic analytics understanding, Problem-solving ability, Basic SDLC knowledge, Basic version control knowledge, Degree in related technical discipline, Demonstrable foundation in software development, Exposure to real-world working environments", "qualificationsPreferred" : "Experience with Power Platform, Experience with Power BI, Cloud platforms exposure, AI / ML concepts familiarity, APIs experience, Automation tools experience, Experience applying technology to solve problems, Relevant certifications", "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/) Job Purpose: The Graduate Software Engineer will support the development, enhancement and optimisation of enterprise systems, data platforms and AI-enabled capabilities across IT. Working within a global team, the role focuses on applying software engineering principles to real business challenges—leveraging data, analytics, automation and emerging AI technologies to improve operational efficiency, enable better decision-making and deliver measurable business value. This role blends hands-on engineering with business engagement, supporting the delivery of scalable solutions, proof-of-concepts and continuous improvements across platforms and processes. This is a 2 year Fixed Term Contract starting the end of September to be based from our Birmingham site, working Monday to Friday. Assessment days for this position are scheduled to take place on 8th and 9th July at our Birmingham office. Duties: * Contribute to the design, development and enhancement of software solutions across enterprise platforms and systems * Support delivery of data, analytics and AI use cases, including data preparation, transformation, testing and validation of outputs * Develop dashboards and visualisations (e.g. Power BI) to provide actionable insights and track performance outcomes * Assist in building and deploying AI and automation solutions, including GenAI use cases, process automation and intelligent workflows * Work on integration and optimisation of systems to unlock value across the organisation * Support data governance and data quality initiatives, ensuring reliable and trusted datasets * Collaborate with engineers, data specialists and business stakeholders to translate requirements into deliverable solutions * Assist with testing, deployment, monitoring and continuous improvement of solutions in production environments * Help identify opportunities for automation and efficiency improvements across IT and the business * Contribute to documentation, training materials and user support to drive adoption of solutions * Participate in agile delivery practices * You should note that your title and job description are not exhaustive, and the Company may require you from time to time to undertake other reasonable tasks within your capacity. ## Qualifications Skills & Experience Required: Essential: * Foundational software development skills (e.g. Python, Java, or similar) * Understanding of data concepts and basic analytics * Strong problem-solving ability * Ability to communicate and collaborate effectively * Interest in AI, automation and data platforms * Basic SDLC and version control knowledge Desirable: * Experience with Power Platform / Power BI * Exposure to cloud platforms (Azure, AWS) * Familiarity with AI / ML concepts * Experience with APIs or automation tools . Qualifications Essential: * Degree in a related technical discipline (or equivalent practical experience) * Demonstrable foundation in software development (through academic work, projects or practical experience) * Exposure to real-world working environments (e.g. internships, placements, part-time roles or project-based experience) Desirable: * Experience applying technology to solve practical problems (e.g. academic projects, hackathons, personal initiatives) * Relevant certifications aligned to cloud, data or AI technologies (e.g. Azure Fundamentals) ## 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" : "Graduate Software Engineer (Data, Analytics, Automation & AI) at Smiths Group. Skills: Data Engineering, AI, Automation, Software Development. Support development of software solutions. Support enhancement of software solutions", "postedDate" : "2026-06-15T08:28:37.000", "createdAt" : "2026-06-16T01:36:20.757", "lastUpdated" : "2026-06-16T10:51:56.509", "ingestTimestamp" : "2026-06-16T01:36:20.757", "mongoId" : "6a3078d3f292fd229c02d070", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "30k-50k", "hasSalary" : false, "allSkills" : [ "Data preparation", "Data transformation", "Performance tracking", "Process automation", "System optimisation", "Dataset validation", "Solution deployment", "Efficiency improvements", "Data Engineering", "AI", "Automation", "Software Development", "Software engineering principles", "Business engagement", "System integration", "Data governance", "Data quality", "Agile delivery practices", "Enterprise systems", "Data platforms", "AI-enabled capabilities", "GenAI use cases", "Intelligent workflows", "Azure Fundamentals", "Power BI" ], "skillCount" : 25, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Entry", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Manufacturing", "llmIndustryConfidence" : 0.95 }, { "id" : "6a3058fbf292fd229cf44950", "title" : "Graduate Software Engineer (Data, Analytics, Automation & AI)", "company" : "Smiths Group", "industry" : "Mechanical Or Industrial Engineering", "salary" : { "min" : 32000.0, "max" : 40000.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for an entry-level Graduate Software Engineer in Birmingham, UK, adjusted for the manufacturing industry and company size." }, "location" : "Birmingham, England, United Kingdom", "locations" : [ "Birmingham", "England", "United Kingdom" ], "certifications" : [ "Azure Fundamentals" ], "timestamp" : "2026-06-16T09:11:05.492", "fingerprint" : "628afe091bda181bff61f6bbdffb6cd88899edb2d6cb00ec3fb81b7d71a61467", "source" : "smartrecruiters", "language" : "en", "applyUrl" : "https://jobs.smartrecruiters.com/SmithsGroup2/744000132141649-graduate-software-engineer-data-analytics-automation-ai-2-years-ftc", "externalId" : "744000132141649", "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" : 0, "experienceMaxYears" : 2, "experienceLevel" : "entry", "technicalSkills" : "Python, Java, Data platforms, AI technologies, Power BI, GenAI, APIs, Automation tools", "professionalSkills" : [ "Software engineering principles", "Business engagement", "System integration", "Process optimisation" ], "hardSkillsList" : [ "Data preparation", "Data transformation", "Performance tracking", "System optimisation", "Data governance", "Data quality", "Testing", "Deployment", "Monitoring", "Continuous improvement", "Documentation", "Training materials", "User support" ], "softSkillsList" : [ "Curious minds" ], "hardSkills" : [ { "name" : "Data preparation", "level" : "intermediate" }, { "name" : "Data transformation", "level" : "intermediate" }, { "name" : "Performance tracking", "level" : "intermediate" }, { "name" : "System optimisation", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Testing", "level" : "intermediate" }, { "name" : "Deployment", "level" : "intermediate" }, { "name" : "Monitoring", "level" : "intermediate" }, { "name" : "Continuous improvement", "level" : "intermediate" }, { "name" : "Documentation", "level" : "intermediate" }, { "name" : "Training materials", "level" : "intermediate" }, { "name" : "User support", "level" : "intermediate" } ], "softSkills" : [ { "name" : "Curious minds" } ], "majorSkills" : "Data Engineering, Analytics, Automation, AI", "majorSkillsList" : [ "Data Engineering", "Analytics", "Automation", "AI" ], "coreResponsibilities" : "Support development of software solutions, Support enhancement of software solutions, Support optimisation of software solutions, Support delivery of data use cases, Support delivery of analytics use cases, Support delivery of AI use cases, Develop dashboards, Develop visualisations, Assist building AI solutions, Assist deploying AI solutions, Assist building automation solutions, Assist deploying automation solutions, Work on system integration, Work on system optimisation, Support data governance, Support data quality, Collaborate with engineers, Collaborate with data specialists, Collaborate with business stakeholders, Assist with testing, Assist with deployment, Assist with monitoring, Assist with continuous improvement, Help identify automation opportunities, Help identify efficiency improvements, Contribute to documentation, Contribute to training materials, Contribute to user support, Participate in agile delivery", "teamCollaboration" : "Global team; Business stakeholders; Engineers; Data specialists", "projectManagementSkills" : [ "Agile delivery practices" ], "domainKnowledge" : "Enterprise systems; Data platforms; AI-enabled capabilities; Operational efficiency; Business value; Scalable solutions; Proof-of-concepts; Cloud platforms; AI / ML concepts; APIs; Automation tools", "domainList" : [ "enterprise-systems", "data-platforms", "ai-enabled-capabilities", "operational-efficiency", "business-value", "scalable-solutions", "proof-of-concepts", "cloud-platforms", "ai-ml-concepts", "apis", "automation-tools" ], "domainSpecificKnowledge" : [ "Enterprise systems", "Data platforms", "AI-enabled capabilities", "Operational efficiency", "Business value", "Scalable solutions", "Proof-of-concepts", "Cloud platforms", "AI / ML concepts", "APIs", "Automation tools" ], "toolProficiency" : [ "Power BI" ], "communicationSkills" : "Communicate effectively", "problemSolvingSkills" : "Problem-solving ability", "outcomesObjectives" : "Improve operational efficiency; Enable better decision-making; Deliver measurable business value", "qualificationsBasic" : "Foundational software development skills, Understanding of data concepts, Basic analytics understanding, Problem-solving ability, Basic SDLC knowledge, Basic version control knowledge, Degree in related technical discipline, Demonstrable foundation in software development, Exposure to real-world working environments", "qualificationsPreferred" : "Experience with Power Platform, Experience with Power BI, Exposure to cloud platforms, Familiarity with AI / ML concepts, Experience with APIs, Experience with automation tools, Experience applying technology to solve problems, Relevant certifications aligned to cloud, Relevant certifications aligned to data, Relevant certifications aligned to AI technologies", "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/) Job Purpose: The Graduate Software Engineer will support the development, enhancement and optimisation of enterprise systems, data platforms and AI-enabled capabilities across IT. Working within a global team, the role focuses on applying software engineering principles to real business challenges—leveraging data, analytics, automation and emerging AI technologies to improve operational efficiency, enable better decision-making and deliver measurable business value. This role blends hands-on engineering with business engagement, supporting the delivery of scalable solutions, proof-of-concepts and continuous improvements across platforms and processes. This is a 2 year Fixed Term Contract starting the end of September to be based from our Birmingham site, working Monday to Friday. Assessment days for this position are scheduled to take place on 8th and 9th July at our Birmingham office. Duties: * Contribute to the design, development and enhancement of software solutions across enterprise platforms and systems * Support delivery of data, analytics and AI use cases, including data preparation, transformation, testing and validation of outputs * Develop dashboards and visualisations (e.g. Power BI) to provide actionable insights and track performance outcomes * Assist in building and deploying AI and automation solutions, including GenAI use cases, process automation and intelligent workflows * Work on integration and optimisation of systems to unlock value across the organisation * Support data governance and data quality initiatives, ensuring reliable and trusted datasets * Collaborate with engineers, data specialists and business stakeholders to translate requirements into deliverable solutions * Assist with testing, deployment, monitoring and continuous improvement of solutions in production environments * Help identify opportunities for automation and efficiency improvements across IT and the business * Contribute to documentation, training materials and user support to drive adoption of solutions * Participate in agile delivery practices * You should note that your title and job description are not exhaustive, and the Company may require you from time to time to undertake other reasonable tasks within your capacity. ## Qualifications Skills & Experience Required: Essential: * Foundational software development skills (e.g. Python, Java, or similar) * Understanding of data concepts and basic analytics * Strong problem-solving ability * Ability to communicate and collaborate effectively * Interest in AI, automation and data platforms * Basic SDLC and version control knowledge Desirable: * Experience with Power Platform / Power BI * Exposure to cloud platforms (Azure, AWS) * Familiarity with AI / ML concepts * Experience with APIs or automation tools . Qualifications Essential: * Degree in a related technical discipline (or equivalent practical experience) * Demonstrable foundation in software development (through academic work, projects or practical experience) * Exposure to real-world working environments (e.g. internships, placements, part-time roles or project-based experience) Desirable: * Experience applying technology to solve practical problems (e.g. academic projects, hackathons, personal initiatives) * Relevant certifications aligned to cloud, data or AI technologies (e.g. Azure Fundamentals) ## 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" : "Graduate Software Engineer (Data, Analytics, Automation & AI) at Smiths Group. Skills: Data Engineering, Analytics, Automation, AI. Support development of software solutions. 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Business partner with stakeholders; Partner with senior business leaders", "projectManagementSkills" : [ "Roadmap development" ], "domainKnowledge" : "Order to Cash; Procure to Pay; Accounts Receivable; Accounts Payable; Financial statements; Forecasting; Budgeting", "domainList" : [ "order-to-cash", "procure-to-pay", "accounts-receivable", "accounts-payable", "financial-statements", "forecasting", "budgeting" ], "domainSpecificKnowledge" : [ "Order to Cash", "Procure to Pay", "Accounts Receivable", "Accounts Payable", "Financial statements", "Forecasting", "Budgeting" ], "toolProficiency" : [ "Excel", "SQL", "QuickSight", "Tableau", "Power BI" ], "problemSolvingSkills" : "Identify anomalies; Resolve process defects; Improve business process", "outcomesObjectives" : "Reduce transactional defects; Improve business process; Drive data-backed decisions; Enhance metric governance; Build compelling business cases; Support fast decision making; Support goal measurement; Improve customer experience; Drive strategic decision-making; Drive operational excellence; Drive measurable business impact", "qualificationsBasic" : "Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Engineering, or related field, 7+ years of experience in finance, FP&A, business analytics, or related field, Experience owning end-to-end financial planning, reporting, and data-driven business analysis, Advanced proficiency in Excel (financial modeling, scenario analysis, large dataset manipulation), Experience using data visualization tools (e.g., Tableau, Power BI, QuickSight), Working knowledge of SQL or other data querying languages, Experience working with large, complex datasets across multiple systems, Understanding of financial statements, forecasting, budgeting, and KPI development, Experience partnering with senior business leaders to drive data-backed decisions, Demonstrated ability to manage multiple priorities in a fast-paced, global environment, SQL skills (Intermediate / Expert level)", "qualificationsPreferred" : "Finance Business Acumen, Experience in delivering automation solutions along with Data Analytics", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "The Finance manager will be a part of the high-visibility, growth-oriented, and dynamic Finance Operations, Global Data & Analytics (GDA) team. The GDA team are seeking an exceptionally talented and deeply focused Finance manager who can build reporting objects, and uses financial analytics to influence business outcomes. The role will develop analytical solutions that empower one of the world’s largest Account Receivables and Payables team to operate at scale, and resolve process defects. The role will navigate ambiguity to rapidly build their knowledge of Amazon’s “Order to Cash” and “Procure to Pay” processes (and their accompanying data sets) to become a trusted analytics partner for our 2,000+ business partners across Finance Operations Headquarters and Service Centers. Key job responsibilities - Business partner with Accounts Receivable and Accounts Payable leaders across Service Centers and Headquarters locations to identify, plan and execute on analytical opportunities that enable identification and reduction of transactional defects and work drivers, goal performance measurements, new business expansion health metrics, and operational analysis. - Proactively perform advanced analytics and financial analysis that support the business priorities work, identify anomalies, and improve business process. - Support the BTS region with specific reporting requirements. - Own the FinOps GDA Retail AR and AP development roadmap. - Use of QuickSight/SQL to deliver valuable insights, and invent and simplify. - Business partner with stakeholders to align, document, and govern metric definitions. - Participate in cross-team knowledge sharing. - Creating queries and reporting on-demand. - Develop solutions using low code Quick capabilities and develop AI literacy among business stakeholders. Base pay for this position starts from EUR 3.200+ gross per month and salary depends on the skills and requirements, there will be further pay components such as a sign on bonus and the eligibility to participate in a restricted stock unit scheme operated independently by Amazon.com Inc. in USA. Company benefits apply subject to further terms, including annual membership in medical clinic, life insurance, retirement pension, meal voucher card, career development. A day in the life The Finance Manager will be in charge of building high-performing analytics products relying on SQL, Excel and QuickSight. The role will business partner across global Finance Operations to become an expert in core business processes, and will work backwards to enhance metric governance, identify and action finance analytical opportunities, and leverage data to build compelling business cases that influence our operations. SQL skills (Intermediate / Expert level) is a must to deliver on Job 1 in this role. Sr. FA will focus on ensuring customers adopt the right GDA products, enabling self service capabilities aligned to their use cases, and delivering high priority repeatable dashboards and analyses that support fast decision making, goal measurement, and improved customer experience. The Finance Manager will obsess over Customers, and partner with them throughout business review mechanisms and provide subject matter expertise to identify opportunities for analytics, automation, and GenAI solutions. About the team Global Data Analytics (GDA) is in charge of all the Finance Operations reporting across Amazon's businesses and geographies. GDA's mission is to be trusted and business-focused analytics partners, providing timely data, analytics, and insights across Service Centers (SCs) and global functions. We are custodians of data and metrics definitions. We apply science methods to large-scale transactional processes. We focus on GenAI, advanced analytics, and intelligent automation to deliver trusted AI-augmented, data driven insights that drive strategic decision-making and operational excellence to support Business growth at scale, while ensuring high controllership and at lowest cost to Amazon. Our vision is to empower the world’s largest Accounts Receivable (AR) and Payable (AP) departments to deliver large scale business outcomes by providing timely, accurate, and AI-powered data insights, and automation across Service Centers and global functions—while enabling intuitive self-service analytics that empower customers to independently explore data, accelerate decisions, and drive measurable business impact. Basic Qualifications: - Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Engineering, or related field - 7+ years of experience in finance, FP&A, business analytics, or related field - Experience owning end-to-end financial planning, reporting, and data-driven business analysis - Advanced proficiency in Excel (financial modeling, scenario analysis, large dataset manipulation) - Experience using data visualization tools (e.g., Tableau, Power BI, QuickSight) - Working knowledge of SQL or other data querying languages - Experience working with large, complex datasets across multiple systems - Strong understanding of financial statements, forecasting, budgeting, and KPI development - Experience partnering with senior business leaders to drive data-backed decisions - Demonstrated ability to manage multiple priorities in a fast-paced, global environment - SQL & Creating Dashboards - - Bachelor’s degree in Finance, Accounting, Economics, Data Analytics, Engineering, or related field - - 7+ years of experience in finance, FP&A, business analytics, or related field - - Experience owning end-to-end financial planning, reporting, and data-driven business analysis - - Advanced proficiency in Excel (financial modeling, scenario analysis, large dataset manipulation) - - Experience using data visualization tools (e.g., Tableau, Power BI, QuickSight) - - Working knowledge of SQL or other data querying languages - - Experience working with large, complex datasets across multiple systems - - Strong understanding of financial statements, forecasting, budgeting, and KPI development - - Experience partnering with senior business leaders to drive data-backed decisions - - Demonstrated ability to manage multiple priorities in a fast-paced, global environment - - SQL & Creating Dashboards Preferred Qualifications: - Finance Business Acumen - Experience in delivering automation solutions along with Data Analytics Amazon is an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. We make recruiting decisions based on your experience and skills. We value your passion to discover, invent, simplify and build. Protecting your privacy and the security of your data is a longstanding top priority for Amazon. Please consult our Privacy Notice ( https://www.amazon.jobs/en/privacy_page ) to know more about how we collect, use and transfer the personal data of our candidates. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Finance Manager, Data Analytics, Global Data Analytics (GDA), Finance Operations at Amazon /Slovakia/ s. r. o.. Skills: Data Analytics, Financial Reporting, Business Partnering. Business partner with Accounts Receivable and Accounts Payable. Identify, plan and execute on analytical opportunities", "postedDate" : "2026-06-13T03:52:50.585", "createdAt" : "2026-06-13T03:52:50.585", "lastUpdated" : "2026-06-14T22:29:07.388", "ingestTimestamp" : "2026-06-13T03:52:50.585", "mongoId" : "69c94a789bc74574cbbb413a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3193011/apply", "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Data analytics", "Financial analysis", "Reporting", "Querying", "Data visualization", "Data Analytics", "Financial Reporting", "Business Partnering", "Financial modeling", "Scenario analysis", "Data-driven business analysis", "KPI development", "Business process", "Metric governance", "Roadmap development", "Order to Cash", "Procure to Pay", "Accounts Receivable", "Accounts Payable", "Financial statements", "Forecasting", "Budgeting", "Excel", "SQL", "QuickSight", "Tableau", "Power BI" ], "skillCount" : 27, "jobCategory" : "sales", "dataQualityScore" : 1.0, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Finance" }, { "id" : "6a3051e4f292fd229cf08821", "title" : "Business Development Representative (Healthcare/AI)", "company" : "Phamily", "industry" : "Healthcare", "salary" : { "min" : 45.0, "max" : 55.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Ohio, United States", "locations" : [ "Ohio", "United States" ], "timestamp" : "2026-06-16T07:20:17.919", "fingerprint" : "5ed18d060009bb856af4051b5f5af7641f11f283042c52b94b2bac6af7ca080e", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/jobsatphamily/jobs/5263048008", "externalId" : "5263048008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Oak Brook", "state" : "Illinois", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "41.8327126,-87.9484125" }, { "city" : "New York City", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "hybrid", "geo" : "40.7127281,-74.0060152" } ], "locationText" : "Oak Brook, Illinois, United States; New York City, New York, United States", "employmentType" : "FULL_TIME", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "Healthcare Business Development Representative Location: Oak Brook, Illinois OR New York City, NY Job Type: Full-time: Hybrid - 3 days per week in a shared office Job Reports To: Demand Generation Manager Compensation Options: Contract-to-Hire: $45.00–$55.00 per hour Direct Hire: $70,000–$90,000 base salary plus commission Please note: The direct hire salary range is lower than the contract-to-hire hourly rate because direct hire employees are eligible for the company's benefits package, whereas contractors are not eligible for benefits during the contract period. About Phamily Jaan Health is a leading AI-based care management company serving healthcare providers. For nearly a decade, the company has leveraged its easy-to-use, proprietary technology to enable health systems, medical groups, and ACOs to deliver high-quality, high-ROI proactive care to hundreds of thousands of previously underserved patients. Phamily, the company's core technology platform, has transformed chronic disease management with clinically tested AI and easy-to-use technology that enables physicians and care teams to offer high-touch, individualized patient care that has been proven to reduce investment in extra labor and the overall cost of care. Phamily helps ensure healthcare providers are compensated fairly for providing high-quality care between office visits, while improving the lives of patients with chronic diseases. Learn more at phamily.com. Role Description As our BDR - Pipeline Generation Specialist (Healthcare), you’ll play a key role in taking hot marketing leads and converting them into qualified sales meetings that drive new business. You’ll work closely with our Account Executives and Manager of Demand Generation to identify the right targets, craft compelling messaging, and execute campaigns that deliver results. This is a 90% sales, 10% strategy role that’s a vital part of the bridge between marketing and sales. If you’re a sales professional looking for greater ownership (or less travel) and are ready to build at a high-growth startup, this role is for you. Key Responsibilities: Identify and prioritize the most compelling leads and convert them into qualified meetings using multi-touch, multi-channel sequences You will manage and convert high-volume, event-driven, and inbound lead pipelines: prioritizing, segmenting, and executing targeted outreach to turn interest into qualified sales conversations. Pick up the phone—there’s nothing as impactful as a knowledgeable conversation, and you’ll be comfortable with cold calling, navigating blockers, and getting to your target Create customized cadences and follow up on leads with original, ABM-style outbound messaging Research new accounts, build target lists, create persona playbooks, and constantly test and refine your methodology to drive more qualified meetings Immerse yourself in the healthcare landscape, understand what motivates our ICPs, and always be looking for new opportunities to make an impact Navigate Hubspot like a native (training can be provided, but you’ll be expected to be proficient within 1 month and expert within 3), and ensure all sales activities are properly documented Build a feedback loop with the marketing team to develop and test messaging, measure campaign performance, and report outcomes to company leadership Requirements: Bachelor’s degree (business/marketing/finance or similar) or 1+ years in B2B sales, business development, account management, or similar Excellent communication and interpersonal skills; executive presence with customers and internal teams Analytical mindset, comfortable interpreting data and making clear, defensible recommendations Familiarity with common sales and martech tools, including AI, and enthusiasm about using technology to accelerate the pace without reducing quality Preferred Requirements: Entrepreneurial DNA: A 'builder' mentality with the ability to operate effectively in high-ambiguity environments where processes may not be fully fleshed out. Prior healthcare experience is strongly preferred but not essential for the right candidate Work style & logistics Hybrid - Chicago in-person at least 3 days per week Occasional travel for the team to on-sites or industry events as needed Our compensation & benefits Competitive compensation commensurate with experience: contract to hire rate $45-$55 per hour Potential to earn equity based on performance Remote-friendly work environment Medical, dental, and vision coverage for employees and dependents at a nominal cost Paid maternity leave FSA and Dependent Care account options 401(k) Eligibility after 6 months of full-time employment Collaborative, mission-driven work environment If you take pride in delivering results, embrace challenges, and proactively seek improvement, then this is the place for you. You’ll join a smart, humble, and collaborative team dedicated to improving healthcare. Equal Employment Opportunity Phamily is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees. Employment decisions are made without regard to race, color, religion, sex, national origin, age, disability, genetics, veteran status, sexual orientation, gender identity or expression, or any other legally protected status.", "summaryDescription" : "Business Development Representative (Healthcare/AI) at Phamily", "postedDate" : "2026-06-15T23:20:36.918", "createdAt" : "2026-06-15T23:20:36.918", "lastUpdated" : "2026-06-16T07:20:17.919", "ingestTimestamp" : "2026-06-15T23:20:36.918", "mongoId" : "6a3051e4f292fd229cf08821", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 93600, "salaryAnnualMax" : 114400, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.98 }, { "id" : "69cf3f062beec4dd3d9340ff", "title" : "Data and Analytics Architect", "company" : "ADCI HYD", "industry" : "Operations, IT, Support Engineering, Solution Architect, Cloud Computing", "salary" : { "min" : 2500000.0, "max" : 4000000.0, "currency" : "INR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Senior Data and Analytics Architect in Hyderabad, India, adjusted for the FinTech industry and company size." }, "location" : "Hyderabad, Telangana, IND", "locations" : [ "Hyderabad, Telangana, IND" ], "timestamp" : "2026-06-15T07:27:32.772", "fingerprint" : "5ad498afe6ceb25c77afff66f9b663db573be509c4597dad8763d7801ca5c8cb", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/10382143/apply", "externalId" : "fe65d693-5feb-466a-8c26-5393f1ddf5b6", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Hyderabad", "state" : "Telangana", "country" : "India", "continent" : "as", "source" : "llm", "workMode" : "onsite", "geo" : "17.3605890,78.4740613" } ], "locationText" : "Hyderabad, Telangana, India", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "technicalSkills" : "AWS, Redshift, S3, AWS Glue, Amazon Athena, Amazon QuickSight, AWS Lambda, EMR, Kinesis, FireHose, IAM, SAP", "professionalSkills" : [ "Data engineering", "Analytics architecture", "Data platform design", "Data ingestion", "Data transformation", "Data storage", "Semantic modeling", "Reporting", "Analytics patterns", "Data pipelines", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Business requirements", "Architecture standards", "Data flow diagrams", "Support procedures", "Performance issues", "Data quality concerns", "Corrective actions", "Implementation initiatives", "Migration initiatives", "Modernization initiatives", "Enhancement initiatives", "Platform integration" ], "hardSkillsList" : [ "Data engineering", "Database engineering", "Business intelligence", "Business analytics", "Data warehousing", "Enterprise data platform", "Data pipelines", "Analytics solutions", "Data processing", "Reporting architectures", "Data quality", "Data governance", "Data security", "Operational controls", "Data integration" ], "hardSkills" : [ { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Database engineering", "level" : "intermediate" }, { "name" : "Business intelligence", "level" : "intermediate" }, { "name" : "Business analytics", "level" : "intermediate" }, { "name" : "Data warehousing", "level" : "intermediate" }, { "name" : "Enterprise data platform", "level" : "intermediate" }, { "name" : "Data pipelines", "level" : "intermediate" }, { "name" : "Analytics solutions", "level" : "intermediate" }, { "name" : "Data processing", "level" : "intermediate" }, { "name" : "Reporting architectures", "level" : "intermediate" }, { "name" : "Data quality", "level" : "intermediate" }, { "name" : "Data governance", "level" : "intermediate" }, { "name" : "Data security", "level" : "intermediate" }, { "name" : "Operational controls", "level" : "intermediate" }, { "name" : "Data integration", "level" : "intermediate" } ], "majorSkills" : "Data architecture, AWS data services, Data platform design", "majorSkillsList" : [ "Data architecture", "AWS data services", "Data platform design" ], "coreResponsibilities" : "Lead design of data solutions, Lead implementation of data solutions, Lead support of data solutions, Architect data platforms using AWS, Define data ingestion patterns, Implement data ingestion patterns, Define data transformation patterns, Implement data transformation patterns, Define data storage patterns, Implement data storage patterns, Define semantic modeling patterns, Implement semantic modeling patterns, Define reporting patterns, Implement reporting patterns, Define analytics patterns, Implement analytics patterns, Design data pipelines, Optimize data pipelines, Design batch data processing, Optimize batch data processing, Design near real-time processing, Optimize near real-time processing, Design reporting architectures, Optimize reporting architectures, Ensure data quality, Ensure data governance, Ensure data security, Ensure operational controls, Work with business teams, Work with finance teams, Work with IT teams, Work with application teams, Design reliable data solutions, Design scalable data solutions, Develop architecture standards, Maintain architecture standards, Develop design documents, Maintain design documents, Develop data flow diagrams, Maintain data flow diagrams, Develop support procedures, Maintain support procedures, Monitor data pipelines, Monitor analytics platforms, Monitor reporting solutions, Drive corrective actions", "teamCollaboration" : "Business teams; Finance teams; IT teams; Application teams", "domainKnowledge" : "FinTech; SAP data; Finance reporting; Supply chain reporting; Enterprise operational reporting", "domainList" : [ "fintech", "sap-data", "finance-reporting", "supply-chain-reporting", "enterprise-operational-reporting" ], "domainSpecificKnowledge" : [ "FinTech", "SAP data", "Finance reporting", "Supply chain reporting", "Enterprise operational reporting" ], "documentationSkills" : "Design documents; Data flow diagrams", "problemSolvingSkills" : "Problem-solving", "qualificationsBasic" : "6+ years data engineering experience, 8+ years analytics experience, Experience designing scalable data pipelines, Experience designing cloud-based analytics solutions, Excellent analytical skills, Excellent problem-solving skills, Excellent stakeholder management skills, Ability to work independently, Ability to work as part of a team", "qualificationsPreferred" : "Knowledge of SAP data platforms, Experience with real-time data processing, Experience with event-driven data processing, Experience with data lake architecture, Experience with data warehouse architecture, Experience with hybrid analytics architecture, Experience with enterprise reporting, Experience with KPI frameworks, Experience with dashboard design, Knowledge of finance reporting domains, Knowledge of supply chain reporting domains, Knowledge of enterprise operational reporting domains, Experience leading data modernization initiatives, Experience leading cloud transformation initiatives", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "We are seeking an experienced Data and Analytics Architect to join our team. The ideal candidate will be responsible for leading the design, implementation, and support of scalable data and analytics solutions on AWS, enabling trusted reporting, enterprise insights, and seamless integration across enterprise platforms. The primary focus of this role is AWS-based data engineering, analytics architecture, and modern data platform design, with SAP knowledge considered a strong advantage. Key job responsibilities * Lead the design, implementation, and support of enterprise data and analytics solutions on AWS. * Architect scalable data platforms using AWS services such as Amazon Redshift, Amazon S3, AWS Glue, Amazon Athena, Amazon QuickSuite, AWS Lambda, and related AWS data services. * Define and implement data ingestion, transformation, storage, semantic modeling, reporting, and analytics patterns across structured and semi-structured data sources. * Design and optimize enterprise data pipelines, batch and near real-time data processing, and reporting architectures. * Ensure data quality, governance, security, and operational controls are built into the platform architecture. * Work closely with business, finance, IT, and application teams to design reliable and scalable data solutions aligned with business requirements. * Develop and maintain architecture standards, design documents, data flow diagrams, and support procedures. * Monitor data pipelines, analytics platforms, and reporting solutions for failures, performance issues, and data quality concerns, and drive corrective actions. * Lead implementation, migration, modernization, and enhancement initiatives across data and analytics platforms. * Support integration with enterprise platforms, including SAP and non-SAP systems where required. Basic Qualifications: - Experience with AWS technologies like Redshift, S3, AWS Glue, EMR, Kinesis, FireHose, Lambda, and IAM roles and permissions - 6+ years of data engineering, database engineering, business intelligence or business analytics experience - 8+ years of relevant experience in data engineering, analytics, data warehousing, or enterprise data platform implementation and support. - Experience designing scalable data pipelines and cloud-based analytics solutions across complex enterprise environments. - Excellent analytical, problem-solving, and stakeholder management skills, with the ability to work independently and as part of a team. Preferred Qualifications: - Knowledge of SAP data and analytics platforms such as SAP S/4HANA, BW, Datasphere, or SAC is good to have. - Experience with real-time or event-driven data processing patterns. - Experience with data lake, data warehouse, and hybrid analytics architecture patterns. - Experience with enterprise reporting, KPI frameworks, and dashboard design. - Knowledge of finance, supply chain, or enterprise operational reporting domains. - Experience leading data modernization or cloud transformation initiatives. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.", "summaryDescription" : "Data and Analytics Architect at ADCI HYD. Skills: Data architecture, AWS data services, Data platform design. Lead design of data solutions. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. 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Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families - We got you covered! A variety of snacks, coffee, and teas are always accessible and available in the office kitchen .Tuesday's- Thursday's: Lunch is served, and Thursday’s is Happy hours with a variety of drinks and snacks #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. 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TGH Corporate Center (TGHCORPCTR)
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Internal distribution of data", "projectManagementSkills" : [ "Project management" ], "domainKnowledge" : "Managed care; Governmental payers; Commercial payers; Healthcare industry; Reimbursement; Compliance; SOX; Basel III/IV; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "managed-care", "governmental-payers", "commercial-payers", "healthcare-industry", "reimbursement", "compliance", "sox", "basel-iii-iv", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Managed care", "Governmental payers", "Commercial payers", "Healthcare industry", "Reimbursement", "Compliance", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Microsoft Excel", "Microsoft Word", "Microsoft Access", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "communicationSkills" : "Communication skills; Interdepartmental communication", "continuousLearning" : "Maintain knowledge of current developments", "problemSolvingSkills" : "Problem solving; Analytical skills", "qualificationsBasic" : "High School Diploma or GED, 10 years of relevant experience, Bachelor's Degree in related field, 5 years of relevant experience, Superior Microsoft Excel skills, Superior Microsoft Word skills, Superior Microsoft Access skills, Advanced analytical techniques knowledge, Ability to work independently, Working knowledge of physician and hospital services billing, Working knowledge of financial analysis, Working knowledge of contracting methods, Working knowledge of contract interpretation, Ability to maintain high accuracy, Ability to handle multiple competing priorities, Exceptional organizational skills, Ability to learn new systems", "qualificationsPreferred" : "CFA charterholder preferred, CPA preferred, FRM preferred, Series 7/63/65 preferred, CAIA preferred, CFP preferred, ACCA preferred, ACA preferred", "remoteFriendly" : true, "workSiteFlexibility" : "Onsite", "rawDescription" : "Under general supervision of the Vice President of Managed Care, the Senior Managed Care Analyst develops, directs and/or performs analytical and planning functions in support of managed care decision making. Proactively identifies areas of opportunity with regard to reimbursement for the hospital and practitioners. Integrally involved in Managed Care contract functions including analysis of contract language and rate structure, and maintenance of contractual agreements that require updating through system programming. Responsible for internal distribution of data and provides other support as needed in the Managed Care department. Interacts interdepartmentally on operational issues associated with rate implementation and payment variances. Maintains knowledge and understanding of the current developments in the healthcare industry to include: service delivery, reimbursements, compliance/regulations, policies and procedures of Governmental and Commercial payers. Responsible for performing job duties in accordance with mission, vision and values of Tampa General Hospital. Essential Functions: Directs and/or performs analytical and planning functions in support of managed care decision making. Develops and implements decision support strategies into decision support, contract management, and data management systems. Analysis of contract language and rate structure, and maintenance of contractual agreements that require updating through system programming. Loads contract rates into the contract modeling systems and audits entries to verify expected net revenue financial output is calculating correctly. Understands and writes system programming specifically for the purpose of loading contract rates into contract management systems. Educates and communicates contract changes interdepartmentally through distribution of detailed matrixes, summarizations, data entry into database applications, and use of other communication and tracking tools, to include maintaining transplant and physician grids. Extracts data from the decision support systems and provide analysis of data. Maintains knowledge and understanding of the current developments in the healthcare industry. Completes numerous and varied financial projects for the Managed Care and Finance Divisions. High School Diploma or GED with a minimum of 10 years of relevant experience and/or Bachelor's Degree in related field with a minimum of 5 years of relevant experience. An equivalent combination of education and years of experience may be considered. Superior Microsoft Excel, Word and Access skills. Strong analytical, problem solving, and communication skills. Knowledge of advanced analytical techniques. Ability to work independently and bring projects to conclusion. Strong working knowledge of physician and hospital services billing, financial analysis, contracting methods, and contract interpretation. Ability to maintain a high level of accuracy when reviewing data and performing tasks. Detail-oriented with the ability to handle multiple competing priorities. Exceptional organizational skills required and ability to learn new systems. Tampa", "summaryDescription" : "Managed Care Analyst Senior at Tampa General Hospital. Skills: Managed care, Contract analysis, Financial analysis. Develop analytical functions. Perform analytical functions", "createdAt" : "2026-06-14T02:08:00.411", "lastUpdated" : "2026-06-15T11:35:19.766", "ingestTimestamp" : "2026-06-14T02:08:00.411", "mongoId" : "69fc49954c40e2acd1a829a7", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 95000, "salaryAnnualMax" : 135000, "salaryBand" : "75k-100k", "hasSalary" : true, "allSkills" : [ "Financial analysis", "Contract analysis", "Rate analysis", "Data analysis", "System programming", "Problem solving", "Managed care", "Rate structure analysis", "Data distribution", "Financial projects", "Analytical functions", "Planning functions", "Decision support strategies", "Contract management", "Data management", "Contract modeling", "Net revenue calculation", "Contract interpretation", "Project management", "Governmental payers", "Commercial payers", "Healthcare industry", "Reimbursement", "Compliance", "SOX", "Basel III/IV", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring", "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA", "Microsoft Excel", "Microsoft Word", "Microsoft Access", "Bloomberg Terminal", "Reuters Eikon", "FactSet", "Murex", "Calypso" ], "skillCount" : 63, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Senior", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a305649f292fd229cf26d25", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T07:39:42.737", "fingerprint" : "f189dad85d0178b4fb4f4d5d3a02dc6ff4fe6528021c331d657300ba4d0e4a85", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "externalId" : "7d7d3df1-a764-4b2a-b65b-8a777a30d0ee", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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 - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:30.857", "lastUpdated" : "2026-06-16T07:39:42.737", "ingestTimestamp" : "2026-06-15T22:01:30.857", "mongoId" : "6a305649f292fd229cf26d25", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449222/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305649f292fd229cf26d20", "title" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence", "company" : "Amazon Development Center U.S., Inc.", "industry" : "Software Development, Cloud Computing", "salary" : { "min" : 100000.0, "max" : 213800.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "New York, New York, USA", "locations" : [ "New York, New York, USA" ], "timestamp" : "2026-06-16T06:13:39.463", "fingerprint" : "50923704d9285932d87355c66f615fb628a3dee944399657d3377b2bbf68aeb2", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "externalId" : "74feb277-9aca-4907-914e-e556ee6f95b4", "industryFunction" : { }, "structuredLocations" : [ { "city" : "New York", "state" : "New York", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "40.7127281,-74.0060152" }, { "city" : "Arlington", "state" : "Virginia", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "38.8769326,-77.0893094" }, { "city" : "Seattle", "state" : "Washington", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "47.6038321,-122.3300620" } ], "locationText" : "New York, New York, United States; Arlington, Virginia, United States; Seattle, Washington, United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "remoteFriendly" : false, "workSiteFlexibility" : "onsite", "rawDescription" : "Join Amazon's Data Integration organization and help shape the future of AI-driven data integration! We're seeking a talented Software Engineer to join our AI and Platform Excellence (APEX) team. APEX is at the forefront of leveraging AI/ML to revolutionize data integration workflows, making them simpler, and more efficient. As a member of APEX, you'll build core algorithms that harness the power of AI and machine learning to simplify the authoring, troubleshooting, upgrading, and optimization of data integration workflows. Your work will directly impact Amazon's ability to manage and utilize vast amounts of data across its many products and services. Utility Computing (UC) AWS Utility Computing (UC) provides product innovations — from foundational services such as Amazon’s Simple Storage Service (S3) and Amazon Elastic Compute Cloud (EC2), to consistently released new product innovations that continue to set AWS’s services and features apart in the industry. As a member of the UC organization, you’ll support the development and management of Compute, Database, Storage, Internet of Things (Iot), Platform, and Productivity Apps services in AWS, including support for customers who require specialized security solutions for customers who require specialized security solutions for their cloud services. Key job responsibilities - Design, develop, and implement AI/ML-powered products for data integration workflows which simplifies complexity in data processing. - Build and own critical infrastructure powering Amazon's next-generation AI capabilities - Collaborate with data scientists and ML experts to s to transform innovative ideas into production systems - Optimize existing algorithms and systems for performance, scalability, and reliability - Contribute to the full software development lifecycle, from conception to production deployment - Mentor junior engineers and promote best practices in software development and AI implementation A day in the life - Impact: Your work will directly influence how AI capabilities are developed and deployed at Amazon - Innovation: Work at the intersection of advanced AI research and enterprise-scale engineering - Growth: Learn from experts while working with the latest in AI technology - Purpose: Help shape responsible AI development practices and sustainable computing - Team: Join a collaborative environment focused on solving complex, meaningful challenges This role offers unique exposure to both AI infrastructure and product development, positioning you to make significant contributions to Amazon's AI initiatives while working with some of the industry's brightest minds. About the team AWS values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS? Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon conferences, inspire us to never stop embracing our uniqueness. Mentorship & Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why we strive for flexibility as part of our working culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Basic Qualifications: - 3+ years of non-internship professional software development experience - 2+ years of non-internship design or architecture (design patterns, reliability and scaling) of new and existing systems experience - 1+ years of software development engineer or related occupational experience - 1+ years of designing and developing large-scale, multi-tiered, multi-threaded, embedded or distributed software applications, tools, systems, and services using: C#, C++, Java, or Perl experience - 1+ years of Object Oriented Design experience - Bachelor's degree or foreign equivalent in Computer Science, Engineering, Mathematics, or a related field - Experience programming with at least one software programming language Preferred Qualifications: - 3+ years of full software development life cycle, including coding standards, code reviews, source control management, build processes, testing, and operations experience - Bachelor's degree in computer science or equivalent 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 - 158,100.00 - 213,800.00 USD annually", "summaryDescription" : "Software Development Engineer, Data Analytics Integration AI and Platform Excellence at Amazon Development Center U.S., Inc.", "postedDate" : "2026-06-15T00:00:00.000", "createdAt" : "2026-06-15T22:01:18.805", "lastUpdated" : "2026-06-16T06:13:39.463", "ingestTimestamp" : "2026-06-15T22:01:18.805", "mongoId" : "6a305649f292fd229cf26d20", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.jobs/jobs/10449227/apply", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 213800, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Mid", "dataQualityScore" : 0.7777778, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "68c2e41ff8b1b0376634c45b", "title" : "Principal Account Executive, ISV, Data, Analytics, and Generative AI Team", "company" : "Amazon Web Services, Inc.", "industry" : "Sales, Advertising, Account Management, Tech Sales, Cloud Computing", "salary" : { "min" : 153000.0, "max" : 252900.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "San Francisco, California, USA", "locations" : [ "San Francisco, California, USA" ], "timestamp" : "2026-06-16T00:47:11.572", "fingerprint" : "fef4d339cc1f9cd5b89b47f25ded4acee50243fc2df95ece5ff3244a6e85641d", "source" : "amazon", "language" : "en", "applyUrl" : "https://account.amazon.com/jobs/3078620/apply", "externalId" : "4cd91282-d4c7-4411-a381-1800d0bce44d", "industryFunction" : { }, "structuredLocations" : [ { "city" : "San Francisco", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "37.7879363,-122.4075201" } ], "locationText" : "San Francisco, California, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Would you like to be part of a business helping hyper-growth ISVs innovate, and exceed revenue goals? Do you have the business savvy skills necessary to motivate a cross-functional team including sales, product and alliances to deliver business growth for AWS and our ISV partners? AWS is seeking an experienced Principal Account Executive for selling to Strategic ISV’s and to expand the business with our hottest ISV customers. The Principal Account Executive will be responsible for setting a long-term strategy and executing daily to grow customers. In addition to being a customer, these companies partner with AWS as an ISV and have multiple GTM goals. In the role, you will build and maintain broad relationships, develop and manage opportunities, and facilitate a large team of extended resources. Role & Responsibilities The Principal Account Executive is responsible for teaming with all aspects of the customer’s organization. This includes C-level executives, engineering, IT/operations, partner org, and sales. Skills required to build relationships across an account include creative systems thinking, visioning, and executing via collaboration with an extended team to address all ISV customer's needs. The Principal Account Executive is responsible for selling at the most strategic (C-level) within the account and implementing a broad strategy for earning customer acceptance and service implementation. The Principal Account Executive works collaboratively with all appropriate AWS resources (Executives, Partner, Support, Solution Architect) to support customer interests, and will understand how to strongly advocate for the customer in harmony with what the AWS business needs. In addition to new service adoption and new line of business development, this role includes dotted line responsibility for partnership and technical collaboration. About the team Diverse Experiences Amazon values diverse experiences. Even if you do not meet all of the preferred qualifications and skills listed in the job description, we encourage candidates to apply. If your career is just starting, hasn’t followed a traditional path, or includes alternative experiences, don’t let it stop you from applying. Why AWS Amazon Web Services (AWS) is the world’s most comprehensive and broadly adopted cloud platform. We pioneered cloud computing and never stopped innovating — that’s why customers from the most successful startups to Global 500 companies trust our robust suite of products and services to power their businesses. Work/Life Balance We value work-life harmony. Achieving success at work should never come at the expense of sacrifices at home, which is why flexible work hours and arrangements are part of our culture. When we feel supported in the workplace and at home, there’s nothing we can’t achieve in the cloud. Inclusive Team Culture Here at AWS, it’s in our nature to learn and be curious. Our employee-led affinity groups foster a culture of inclusion that empower us to be proud of our differences. Ongoing events and learning experiences, including our Conversations on Race and Ethnicity (CORE) and AmazeCon (diversity) conferences, inspire us to never stop embracing our uniqueness. Mentorship and Career Growth We’re continuously raising our performance bar as we strive to become Earth’s Best Employer. That’s why you’ll find endless knowledge-sharing, mentorship and other career-advancing resources here to help you develop into a better-rounded professional. Basic Qualifications: - 7+ years of technology related sales, business development or equivalent experience - Bachelor's degree or equivalent - Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations or equivalent Preferred Qualifications: - 7+ years creating and implementing long-term transformational account strategies in a customer-facing role or equivalent experience - Experience with AWS and technology as a service (IaaS, SaaS, PaaS) - 7+ years experience with identifying, developing, negotiating, and closing large-scale technology projects with enterprise accounts - 10+ years of quota-carrying technology field sales or business development experience - Experience working with and presenting to C-level executives, IT, and lines of businesses across organizations - A technical or educational background in engineering, computer science, or MIS - Cross functional selling experience (Architect, Sales Engineer, Professional Services, Partner, and ISV) Amazon is an equal opportunity employer and does not discriminate on the basis of protected veteran status, disability, or other legally protected status. Los Angeles County applicants: Job duties for this position include: work safely and cooperatively with other employees, supervisors, and staff; adhere to standards of excellence despite stressful conditions; communicate effectively and respectfully with employees, supervisors, and staff to ensure exceptional customer service; and follow all federal, state, and local laws and Company policies. Criminal history may have a direct, adverse, and negative relationship with some of the material job duties of this position. These include the duties and responsibilities listed above, as well as the abilities to adhere to company policies, exercise sound judgment, effectively manage stress and work safely and respectfully with others, exhibit trustworthiness and professionalism, and safeguard business operations and the Company’s reputation. Pursuant to the Los Angeles County Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Pursuant to the San Francisco Fair Chance Ordinance, we will consider for employment qualified applicants with arrest and conviction records. Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner. Our compensation reflects the cost of labor across several US geographic markets. The base pay for this position ranges from $153,000/year in our lowest geographic market up to $252,900/year in our highest geographic market. Pay is based on a number of factors including market location and may vary depending on job-related knowledge, skills, and experience. Amazon is a total compensation company. Dependent on the position offered, equity, sign-on payments, and other forms of compensation may be provided as part of a total compensation package, in addition to a full range of medical, financial, and/or other benefits. For more information, please visit https://www.aboutamazon.com/workplace/employee-benefits . This position will remain posted until filled. Applicants should apply via our internal or external career site.", "summaryDescription" : "Principal Account Executive, ISV, Data, Analytics, and Generative AI Team at Amazon Web Services, Inc.", "postedDate" : "2026-06-14T19:44:07.785", "createdAt" : "2026-06-14T19:44:07.785", "lastUpdated" : "2026-06-16T00:47:11.572", "ingestTimestamp" : "2026-06-14T19:44:07.785", "mongoId" : "68c2e41ff8b1b0376634c45b", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://account.amazon.com/jobs/3078620/apply", "salaryAnnualMin" : 153000, "salaryAnnualMax" : 252900, "salaryBand" : "150k-200k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.98 }, { "id" : "6a2cf9a674d8ee00a0a9b504", "title" : "Senior Manager, Strategic Finance- Insights and Analytics", "company" : "Lightspeed", "industry" : "Operations", "salary" : { "min" : 135000.0, "max" : 195000.0, "currency" : "CAD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market data for a Senior Manager in Strategic Finance- Insights and Analytics at a SaaS company in Vancouver, Canada, adjusted for seniority and industry." }, "location" : "Vancouver", "locations" : [ "Vancouver" ], "timestamp" : "2026-06-16T02:42:21.126", "fingerprint" : "c918e4b0fed79a48361f9395f3a13b8cd34e3d52315ada5836c322318c8cd2c8", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/lightspeedhq/665b18e9-d46e-4815-b58c-6fd63cf4e05c/application", "externalId" : "665b18e9-d46e-4815-b58c-6fd63cf4e05c", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Vancouver", "state" : "British Columbia", "country" : "Canada", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "49.2608724,-123.1139520" } ], "locationText" : "Vancouver, British Columbia, Canada", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceLevel" : "Manager", "remoteFriendly" : false, "rawDescription" : "Hi there! Thanks for stopping by \uD83D\uDC4B Are you actively looking for a new opportunity? Or just checking the market? Well… you might just be in the right place! We’re looking for a Senior Manager, Strategic Finance- Insights and Analytics to join the Strategic Finance & Insights team working closely with the CFO and Executive Leadership Team on capital markets strategy, long-range planning, and multi-year business design. This role contributes directly to that work by leading the analytical layer that connects Lightspeed's revenue streams and by holding the FP&A relationship with data and analytics partners across the company. What you’ll be doing: You will lead the cross-functional analytical work that supports executive decision-making and serve as a partner to the Data Office and adjacent data and analytics teams. The team is anchored by senior individual contributors who own the forecasting and modeling for each of Lightspeed's revenue streams. This role works across them to produce analyses, methodology, and insights that no single revenue stream owner is positioned to deliver alone. You will report to the Director, Strategic Finance & Insights. Your responsibilities will include: - Insights and Analysis: Lead the structuring, execution, and delivery of cross-functional analyses spanning all revenue streams (Software, Payments, Capital, and Hardware). Translate variances, structural shifts, and emerging trends across the business into clear narratives for senior finance leadership. - Data Partnership and Stewardship: Serve as the senior FP&A point of contact for the Data Office, analytics teams, and platform owners across the company. Represent FP&A's position on the definition and integrity of finance-critical metrics, contribute to cross-functional alignment on master data management, standardized reporting dimensions, and data governance frameworks, and translate between technical data discussions and finance audiences. - Forecasting Methodology and Accuracy: Support the evolution of Lightspeed's forecasting methodology and the framework used to assess forecasting accuracy. Identify structural sources of variance and contribute to improvements in how the team forecasts the business. - AI and Innovation: Integrate AI tools, automation, and emerging analytical techniques into the team's analytical workflows where they meaningfully improve quality or efficiency. What you need to bring: - Experience & Education: - Bachelor's degree in Finance, Economics, Business, Engineering, or a related quantitative field. - 7+ years of progressive FP&A, strategic finance, or analytical experience, ideally in a multi-product SaaS or payments environment. - Experience with EPM platforms (Pigment, Adaptive, Anaplan, or similar). - Experience at a public company is preferred. - Track record of producing executive-facing analysis across multiple business lines or revenue streams. - Experience partnering with data, analytics, or BI teams as a primary stakeholder. - Experience with or exposure to master data management, data governance frameworks, or standardized reporting dimensions is a bonus. - CPA or CFA designation is a bonus. - Technical & Analytical Skills: - Deep fluency in SaaS metrics: NRR, ARPU, churn, LTV/CAC, Rule of 40, etc. - Strong financial modeling skills in Google Sheets/Excel. - Familiarity with SQL and modern data tooling sufficient to partner with data teams as a peer and understand what good looks like. Hands-on coding proficiency is not required. - Comfortable building structure across large, messy datasets where processes don't yet exist. - AI fluency. You use LLMs, copilots, and automation tools in your actual workflow, not just as a talking point. Excitement about what's next matters as much as what you already know. - Communication & Collaboration: - Ability to translate complex analysis into simple, actionable narratives for non-finance stakeholders. - Comfort operating with ambiguity and making methodology calls with incomplete information. - Cross-functional fluency. You've worked across Data, Accounting, and business teams, not just within Finance. - Experience presenting to and influencing senior leadership, not just producing deliverables for them. You’ll enjoy: - A flexible work environment that empowers you to do your best work - A culture that celebrates performance - The chance to make an impact in a team that’s big enough for career growth, but lean enough to make your voice heard - Career-defining opportunities Plus benefits designed to keep you happy, healthy and fulfilled. - Flexible paid time off and remote work policies - Equity options, because this is your company too - Contributions to your pension plan. Your future matters - Training opportunities to grow your skills and career - Health and wellness credit so you feel your best - Time off to volunteer and give back to your community - Interest groups, employee led networks, social committees to sponsored sports teams - Computer purchase program to get your personal Macbook - Enhanced parental leave to support growing families At Lightspeed, we carefully consider a wide range of factors when determining compensation, including your skill set, qualifications, experience, and market data. These considerations can cause your compensation to vary. We reasonably expect the total compensation for this position to be in the range of $140,000-180,000k Lightspeed also provides a variety of employee benefits including, but not limited to, medical, dental, wellness, life and disability insurance, RRSP plan and match, paid parental leave top-up, and paid time off. Please note that this compensation information is solely for candidates hired to perform work within Ontario and reflects the amount Lightspeed is willing to pay at the time of this posting. This role represents an existing vacancy at Lightspeed. Lightspeed uses artificial intelligence–enabled tools to support certain aspects of the recruitment process; all hiring decisions are made by our recruiting and hiring teams. #LI-SS3 To all recruitment agencies: Lightspeed does not accept unsolicited agency resumes. If we have not directly engaged your company in writing to supply candidates for a specific vacancy, Lightspeed will not be responsible for any fees related to unsolicited resumes. Lightspeed is a proud equal opportunity employer and we are committed to creating an inclusive and barrier-free workplace. Lightspeed welcomes and encourages applications from people with disabilities. Accommodations are available on request for candidates taking part in all aspects of the selection process. WHERE TO FROM HERE? Obviously, this has to be mutually beneficial: we want you to step into a role you love, and we want to offer you a place you’re proud to come to every day. For a glimpse into our world check out our career page here https://www.lightspeedhq.com/careers/. Lightspeed is building communities through commerce, and we need people from all backgrounds and lived experiences to do that. We were founded in 2005, in Montreal’s gay village and our original members were all part of the LGBTQ+ community. The ethos of our business has been about inclusion from the very beginning, and we strive to provide a workplace where everyone belongs. WHO WE ARE: Powering the businesses that are the backbone of the global economy, Lightspeed's one-stop commerce platform helps merchants innovate to simplify, scale, and provide exceptional customer experiences. Our cloud commerce solution transforms and unifies online and physical operations, multichannel sales, expansion to new locations, global payments, financial solutions, and connection to supplier networks. Founded in Montréal, Canada in 2005, Lightspeed is dual-listed on the New York Stock Exchange (NYSE: LSPD) and Toronto Stock Exchange (TSX: LSPD). With teams across North America, Europe, and Asia Pacific, the company serves retail, hospitality, and golf businesses in over 100 countries. Lightspeed handles your information in accordance with our Applicant Privacy Statement https://www.lightspeedhq.com/legal/applicant-privacy-statement/. ", "summaryDescription" : "Senior Manager, Strategic Finance- Insights and Analytics at Lightspeed", "createdAt" : "2026-06-14T19:17:26.883", "lastUpdated" : "2026-06-16T02:42:21.126", "ingestTimestamp" : "2026-06-14T19:17:26.883", "mongoId" : "6a2cf9a674d8ee00a0a9b504", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "100k-150k", "hasSalary" : false, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "finance", "jobSubcategory" : "accounting", "seniorityLevel" : "Manager", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "SaaS", "llmIndustryConfidence" : 0.98 }, { "id" : "6a305b67f292fd229cf5d4fc", "title" : "Director, Insights and Analytics", "company" : "Dyne Therapeutics", "industry" : "Biotech", "salary" : { "min" : 190000.0, "max" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Waltham, Massachusetts, United States", "locations" : [ "Waltham", "Massachusetts", "United States" ], "timestamp" : "2026-06-16T08:31:17.425", "fingerprint" : "59f22a5765c588850e3ab8950630ad9bde5cc8895614c342afcde66b49a10ae1", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/dynetherapeutics/jobs/6020363004", "externalId" : "6020363004", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Waltham", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3762385,-71.2355644" } ], "locationText" : "Waltham, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceLevel" : "Director", "technicalSkills" : "Python, R, SQL, JMP, Spotfire", "professionalSkills" : [ "Statistical analysis", "Data analysis", "Data visualization" ], "hardSkillsList" : [ "Statistical modeling", "Experimental design" ], "hardSkills" : [ { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Experimental design", "level" : "intermediate" } ], "majorSkills" : "Statistical modeling, Data analysis", "majorSkillsList" : [ "Statistical modeling", "Data analysis" ], "coreResponsibilities" : "Analyze experimental data, Develop statistical models, Design experiments, Generate reports, Communicate findings", "teamCollaboration" : "Research and Development teams; Cross-functional teams", "domainKnowledge" : "Biotechnology; Drug discovery", "domainList" : [ "biotechnology", "drug-discovery" ], "domainSpecificKnowledge" : [ "Biotechnology", "Drug discovery" ], "toolProficiency" : [ "JMP", "Spotfire", "R", "Python", "SQL" ], "communicationSkills" : "Written reports; Oral presentations", "documentationSkills" : "Technical documentation", "problemSolvingSkills" : "Data interpretation; Troubleshooting", "qualificationsBasic" : "5+ years experience, Bachelor's degree", "qualificationsPreferred" : "Master's degree preferred, PhD preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Company Overview: Dyne Therapeutics is focused on delivering functional improvement for people living with genetically driven neuromuscular diseases. We are developing therapeutics that target muscle and the central nervous system (CNS) to address the root cause of disease. The company is advancing clinical programs for Duchenne muscular dystrophy (DMD) and myotonic dystrophy type 1 (DM1) as well as a preclinical programs for facioscapulohumeral muscular dystrophy (FSHD) and Pompe disease. At Dyne, we are on a mission to deliver functional improvement for individuals, families and communities. Learn more at https://www.dyne-tx.com/, and follow us on X, LinkedIn and Facebook. Role Summary: The Director, Insights and Analytics leads the generation of actionable market, customer, and data-driven insights to inform commercial strategy and execution across Dyne’s portfolio of assets in clinical development for rare neuromuscular diseases. This role integrates forecasting, market research, competitive intelligence, and advanced analytics to shape strategic decisions, optimize go-to-market planning, and enable organizational alignment. The Director serves as a strategic partner across cross-functional teams, translating complex data into clear, impactful recommendations that drive business outcomes. This role is based in Waltham, MA. Primary Responsibilities Include: Forecasting and Strategic Planning Lead development of long-range global forecasting models and scenario planning tools to project product uptake, access, and revenue Evaluate and enhance forecasting methodologies to improve accuracy, scalability, and agility Synthesize inputs across multiple data sources (e.g., market research, competitive intelligence, analogs) to validate assumptions and inform projections Support long-range planning, lifecycle management, and commercial assessments for pipeline and business development opportunities Partner with commercial operations and finance to guide operational forecasting and annual planning processes (AOP/budgeting) Serve as a strategic advisor to cross-functional stakeholders across Brand, Market Access, Finance, Supply, Trade, and IT Market Research and Insights Generation Design and execute global insights generation plans leveraging primary and secondary market research Manage end-to-end market research processes, including RFP development, vendor selection, and project execution Translate research findings into clear, actionable insights and strategic recommendations for senior leadership Ensure all research activities comply with data governance, privacy standards, and relevant external engagement policies Build strong partnerships with internal stakeholders to align insights with business priorities Competitive Intelligence Lead competitive intelligence strategy and analysis for key therapeutic areas, assessing market dynamics and competitive positioning Oversee execution of competitive intelligence activities, including monitoring, reporting, ad hoc analyses, and congress intelligence Deliver timely, actionable insights to inform go-to-market strategies, product development, and positioning Develop executive-ready materials and briefings to support leadership decision-making Represent the organization as the primary point of contact for competitive intelligence and at key congresses Commercial Data Analytics and Capability Building Expand and optimize the organization’s data ecosystem, including evaluation and integration of new data sources and tools Lead development of dashboards, KPIs, and performance tracking frameworks to enable data-driven decision-making Apply advanced analytics, statistical modeling, and trend analysis to generate insights from internal and external data Translate complex data into compelling narratives and recommendations that influence business action Educate stakeholders on data tools, dashboards, and data literacy to drive adoption and impact Ensure adherence to data governance, compliance, and privacy standards Education and Skills Requirements: Bachelor’s degree required; advanced degree (MBA, PhD, PharmD) preferred 10+ years of experience in forecasting, market research, competitive intelligence, and/or data analytics within biotech or pharmaceutical environments Experience supporting product launches and/or rare disease markets preferred Strong understanding of regulatory and compliance considerations related to market research and data usage in pharma/biotech Demonstrated ability to synthesize complex data and communicate insights clearly to diverse audiences, including senior leadership Exceptional data storytelling skills with expertise in translating insights into impactful presentations and recommendations Proven ability to lead through influence in a cross-functional, matrixed environment Experience managing external vendors, including negotiation, scope management, and performance oversight Strong business acumen with the ability to connect insights to strategic and operational decisions Ability to operate effectively in a fast-paced, dynamic environment while managing multiple priorities Demonstrates high standards of professionalism, integrity, and accountability #LI-Onsite MA Pay Range $190,000—$240,000 USD The pay range reflects the base pay range Dyne reasonably expects to pay for this role at the time of posting. Individual compensation depends on factors such as education, experience, job-related knowledge, and demonstrated skills. The statements contained herein reflect general details as necessary to describe the principles functions for this job, the level of knowledge and skill typically required, and the scope of responsibility, but should not be considered an all-inclusive listing of work requirements. Individuals may perform other duties as assigned, including work in other functional areas to cover absences or relief, to equalize peak work periods or otherwise balance workload. Dyne Therapeutics is an equal opportunity employer and will not discriminate against any employee or applicant on the basis of age, color, disability, gender, national origin, race, religion, sexual orientation, veteran status, or any classification protected by federal, state, or local law.", "summaryDescription" : "Director, Insights and Analytics at Dyne Therapeutics. 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We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. In the role, you will support an adult male in living an independent life, attending events in the community as well as supporting at home. You will need to have a manual driving license and be comfortable working in an environment with dogs and other animals. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? 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Cross-functional teams", "projectManagementSkills" : [ "Workstream management", "Prioritize tasks", "Delivery timelines" ], "domainKnowledge" : "Data strategy; Data engineering; Analytics; Data transformation; Data warehousing; Data models; Data pipelines; Cloud-native environments; Data architectures; Analytics solutions; Data engineering best practices; Analytics best practices; Version control; Collaborative development; Iterative delivery; Enterprise data transformation", "domainList" : [ "data-strategy", "data-engineering", "analytics", "data-transformation", "data-warehousing", "data-models", "data-pipelines", "cloud-native-environments", "data-architectures", "analytics-solutions", "data-engineering-best-practices", "analytics-best-practices", "version-control", "collaborative-development", "iterative-delivery", "enterprise-data-transformation" ], "domainSpecificKnowledge" : [ "Data strategy", "Data engineering", "Analytics", "Data transformation", "Data warehousing", "Data models", "Data pipelines", "Cloud-native environments", "Data architectures", "Analytics solutions", "Data engineering best practices", "Analytics best practices", "Version control", "Collaborative development", "Iterative delivery", "Enterprise data transformation" ], "toolProficiency" : [ "Snowflake", "Databricks", "Redshift", "Power BI", "Tableau", "Sigma", "Codex", "Claude Code", "Cursor" ], "communicationSkills" : "Client engagement; Stakeholder engagement; Present findings; Present recommendations; Present solution designs", "continuousLearning" : "Continuous learning; Learning new tools; Learning new platforms; Learning analytics techniques", "problemSolvingSkills" : "Problem solvers; Solve complex client challenges", "specialRequirements" : "Flexibility for travel", "outcomesObjectives" : "Deliver real value; Make a true impact; Enable better decision-making", "qualificationsBasic" : "Bachelor's degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field, 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment, Proficiency in SQL and Python for data transformation, analysis, and pipeline development, Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies, Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent, Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality, Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines, Communication skills and comfort engaging with client stakeholders at varying levels of technical depth, Ability to work independently while collaborating effectively within cross-functional teams", "qualificationsPreferred" : "Experience designing data architectures and analytics solutions in cloud-native environments, Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows, Exposure to Agile or other iterative delivery methodologies, Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions, A demonstrated interest in continuously learning new tools, platforms, and analytics techniques", "rawDescription" : "Transform Your Career We deliver unparalleled opportunities for growth and career advancement. Our dynamic, entrepreneurial culture supports your journey every step of the way. Embrace new challenges and deliver real value to some of the world’s most influential Fortune 100 brands, growth companies transforming their industries, and mid-market firms that need help navigating the defining moments of their lifecycle. Work side by side with business leaders to solve complex client challenges and make a true impact. Love what you do as part of a diverse organization committed to collaboration and continuous learning. The Team – Data & Analytics Our Data & Analytics practice is comprised of functional and technical experts across data strategy, data engineering, analytics, and transformation. We help clients maximize the value of their data by designing modern data platforms, building scalable pipelines, and delivering analytics and reporting solutions that enable better decision-making. Our consultants are hands-on problem solvers who partner closely with clients in fast-paced, project-based environments. Your Impact As a Senior Consultant, Data & Analytics, you will: Design and build modern data warehouses and analytics-ready data models Develop scalable, reliable data pipelines using cloud-based data platforms Implement analytics, reporting, and visualization solutions that translate complex data into clear, actionable insights for client stakeholders Partner with client teams to understand business objectives, data challenges, and success metrics through interviews and working sessions Manage discrete project workstreams, balancing technical execution with client communication and delivery timelines Present findings, recommendations, and solution designs to both technical and non-technical audiences Leverage AI-assisted development environments to design, generate, test, and iterate on production-quality analytics and data engineering code Support broader data transformation initiatives, including system implementations, migrations, and modernization efforts Actively participate in internal knowledge sharing, mentoring, and career development activities At a Minimum, You Will Have: Bachelor’s degree in Information Systems, Computer Science, Data Analytics, Engineering, or a related field 2+ years of relevant experience delivering data, analytics, or data engineering solutions in a consulting or project-based environment Strong proficiency in SQL and Python for data transformation, analysis, and pipeline development Hands-on experience with cloud-based data platforms such as Snowflake, Databricks, Redshift, or similar technologies Experience building dashboards and reports using BI tools such as Power BI, Tableau, Sigma, or equivalent Experience working in AI-assisted development environments (e.g., Codex, Claude Code, Cursor) to accelerate and improve code quality Demonstrated ability to manage workstreams, prioritize tasks, and deliver high-quality, client-facing solutions under tight timelines Strong communication skills and comfort engaging with client stakeholders at varying levels of technical depth Ability to work independently while collaborating effectively within cross-functional teams Flexibility for travel, as needed Preferably, You Will Have: Experience designing data architectures and analytics solutions in cloud-native environments Familiarity with modern data engineering and analytics best practices, including version control and collaborative development workflows Exposure to Agile or other iterative delivery methodologies Experience supporting enterprise data transformation initiatives across finance, operations, or other core business functions A demonstrated interest in continuously learning new tools, platforms, and analytics techniques Determining compensation for this role (and others) at Highspring depends upon a wide array of factors including but not limited to the individual’s skill sets, experience and training, licensure and certifications, office location and other geographic considerations, as well as other business and organizational needs. With that said, as required by local law, Highspring believes that the following salary range reasonably estimates the base compensation for an individual hired into this position in geographies that require salary range disclosure to be between the range below. The individual may also be eligible for a variety of bonus and financial incentives based on individual and company performance. Base Compensation Range $76,194—$122,981 USD", "summaryDescription" : "Senior Consultant - Data & Analytics at Highspring. Skills: Data Warehousing, Data Pipelines, Analytics Solutions, Cloud Platforms. Design modern data warehouses. 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About our young adult - I am a soon to be 18 year old teenage male and I like to listen to quiet voices and silly jokes. I love Man U, Horrid Henry and", "summaryDescription" : "Complex Care Healthcare Assistant at NurtureCare. Support children and young adults. Provide complex health support", "createdAt" : "2026-06-14T19:28:30.620", "lastUpdated" : "2026-06-16T02:02:56.733", "ingestTimestamp" : "2026-06-14T19:28:30.620", "mongoId" : "6a2cbd4874d8ee00a09fd9e0", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex health needs", "Additional health needs" ], "skillCount" : 2, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca40074d8ee00a09af54f", "title" : "Complex Care Healthcare Assistant", "company" : "Thornbury Community Services", "industry" : "Healthcare", "salary" : { "min" : 18.0, "max" : 23.0, "currency" : "GBP", "frequency" : "yearly", "is_estimated" : false }, "location" : "222 Grays Inn Rd, London, WC1X 8HB", "locations" : [ "222 Grays Inn Rd", "London", "WC1X 8HB" ], "timestamp" : "2026-06-16T00:52:45.991", "fingerprint" : "a2ec1ec4c62081a95314f9de379003ab931a0727f050ebc4f4d76e7751030da2", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/tcs/jobs/6353972003", "externalId" : "6353972003", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Cheltenham", "state" : "Gloucestershire", "country" : "United Kingdom", "continent" : "eu", "source" : "llm", "workMode" : "onsite", "geo" : "51.8995685,-2.0711559" } ], "locationText" : "Cheltenham, Gloucestershire, United Kingdom", "experienceMinYears" : 1, "professionalSkills" : [ "Complex care", "Personal care", "Manual handling" ], "majorSkills" : "Complex care, Person-centered care", "majorSkillsList" : [ "Complex care", "Person-centered care" ], "coreResponsibilities" : "Support adult male, Attend community events, Support at home, Build trust with individuals, Build trust with families, Create safe environments, Empower people to take trips, Empower people to reconnect with hobbies, Empower people to thrive in community", "domainKnowledge" : "Complex health needs", "domainList" : [ "complex-health-needs" ], "domainSpecificKnowledge" : [ "Complex health needs" ], "continuousLearning" : "Refresher courses; Specialist practical training; Shadow shifts; Sign offs from nurse", "specialRequirements" : "Manual driving license, Comfortable with dogs, Comfortable with animals", "outcomesObjectives" : "Help people live life to the fullest; Help people remain at home; Help people maintain independence; Help people enjoy things that matter; Help people live with dignity; Help people live with choice; Help people live with joy", "qualificationsBasic" : "12 months UK care experience", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Community Healthcare Assistant – Complex Care (Female) Location: Cheltenham, Gloucestershire Shifts: Days - 07:00-15:00, 07:00-20:00 & 14:00-23:00 Pay Rates (including holiday pay): Days: £18.56 per hour Nights: £20.83 per hour Weekends: £23.07 per hour At Thornbury Community Services, we believe everyone deserves the chance to live life to the fullest. We’re looking for healthcare assistants who want to make a real difference - helping people with complex health needs remain at home, maintain independence, and enjoy the things that matter most to them. Your role goes beyond practical care. You’ll build trust with individuals and their families, create safe environments, and empower people to take trips, reconnect with hobbies, and thrive in their own community. Every shift is an opportunity to change a life. Why This Role Matters Joining Thornbury means being part of something bigger - giving people the chance to live with dignity, choice, and joy despite complex health needs. In the role, you will support an adult male in living an independent life, attending events in the community as well as supporting at home. You will need to have a manual driving license and be comfortable working in an environment with dogs and other animals. What We’re Looking For We’re seeking healthcare assistants who are: · Compassionate and resilient, with a genuine passion for person-centered care. · Experienced in UK care (minimum 12 months). · Skilled in key areas such as: Exposure to clinical complex care Personal care Manual handling Your Benefits as a TCS Healthcare Assistant We value our team and offer a package designed to support your career and wellbeing: · 24/7 Support: Clinical and operational teams available whenever you need them. · Employee Assistance Programme: Round-the-clock wellbeing support. · Upskilling & Training: Access refresher courses and specialist practical training. Shadow shifts and sign offs from a qualified nurse. Apply Today If you want a role where your care changes lives and creates possibilities, apply now. Questions? Contact us at: \uD83D\uDCE7 applications@thornburycommunityservices.co.uk \uD83D\uDCDE 0333 323 3762 #HCACH", "summaryDescription" : "Complex Care Healthcare Assistant at Thornbury Community Services. Skills: Complex care, Person-centered care. Support adult male. 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Fully Flexible Day and Night Shifts, Waking Nights. Current hours and locations available: - NG21 - Adult care - 24 hours - MUST hold a full UK driving", "summaryDescription" : "Complex Care Healthcare Assistant at NurtureCare. Support children and young adults. Provide complex health support", "createdAt" : "2026-06-14T18:37:29.798", "lastUpdated" : "2026-06-15T22:32:20.972", "ingestTimestamp" : "2026-06-14T18:37:29.798", "mongoId" : "6a2cbd4874d8ee00a09fd9df", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "<30k", "hasSalary" : false, "allSkills" : [ "Complex health needs", "Additional health needs" ], "skillCount" : 2, "jobCategory" : "healthcare", "jobSubcategory" : "support", "seniorityLevel" : "Entry", "dataQualityScore" : 0.7777778, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c8c8274d8ee00a0975afd", "title" : "Business Analytics Manager (Finance)", "company" : "WHOOP", "industry" : "Business Intelligence & Analytics", "salary" : { "min" : 150000.0, "max" : 180000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "Boston, MA", "locations" : [ "Boston, MA" ], "certifications" : [ "CFA", "CPA", "FRM", "Series 7", "Series 63", "Series 65", "CAIA", "CFP", "ACCA", "ACA" ], "timestamp" : "2026-06-16T02:22:14.255", "fingerprint" : "5f807f36301ef625123b21a3c347fbdc5f6a9facb9a5522771f77c4f5a893e77", "source" : "ashby", "language" : "en", "applyUrl" : "https://jobs.ashbyhq.com/whoop/982fbfb8-5f32-4c4e-9d55-6165377f073f/application", "externalId" : "982fbfb8-5f32-4c4e-9d55-6165377f073f", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Boston", "state" : "Massachusetts", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "42.3588336,-71.0578303" } ], "locationText" : "Boston, Massachusetts, United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 6, "experienceLevel" : "Manager", "technicalSkills" : "Python, R, SQL, MATLAB, Bloomberg Terminal, Reuters Eikon, FactSet", "professionalSkills" : [ "Financial modeling", "Risk management", "Quantitative analysis" ], "hardSkillsList" : [ "Financial analysis", "Data analysis", "Statistical modeling" ], "hardSkills" : [ { "name" : "Financial analysis", "level" : "intermediate" }, { "name" : "Data analysis", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" } ], "majorSkills" : "Financial analysis, Quantitative modeling, Risk assessment", "majorSkillsList" : [ "Financial analysis", "Quantitative modeling", "Risk assessment" ], "coreResponsibilities" : "Develop financial models, Analyze financial data, Manage risk exposure, Ensure regulatory compliance, Prepare financial reports, Collaborate with stakeholders, Mentor junior analysts", "teamCollaboration" : "Cross-functional teams; Finance department", "domainKnowledge" : "Financial instruments; Regulatory frameworks; Risk methodologies; SOX; Basel III; MiFID II; Dodd-Frank; FINRA; SEC; FCA; GDPR; AML/KYC; Equities; Fixed income; Derivatives; Options; Futures; Swaps; FX; Structured products; Private credit; VaR; CVaR; Stress testing; Monte Carlo; Factor models; Credit scoring", "domainList" : [ "financial-instruments", "regulatory-frameworks", "risk-methodologies", "sox", "basel-iii", "mifid-ii", "dodd-frank", "finra", "sec", "fca", "gdpr", "aml-kyc", "equities", "fixed-income", "derivatives", "options", "futures", "swaps", "fx", "structured-products", "private-credit", "var", "cvar", "stress-testing", "monte-carlo", "factor-models", "credit-scoring" ], "domainSpecificKnowledge" : [ "Financial instruments", "Regulatory frameworks", "Risk methodologies", "SOX", "Basel III", "MiFID II", "Dodd-Frank", "FINRA", "SEC", "FCA", "GDPR", "AML/KYC", "Equities", "Fixed income", "Derivatives", "Options", "Futures", "Swaps", "FX", "Structured products", "Private credit", "VaR", "CVaR", "Stress testing", "Monte Carlo", "Factor models", "Credit scoring" ], "toolProficiency" : [ "Bloomberg Terminal", "Reuters Eikon", "FactSet" ], "communicationSkills" : "Report writing; Presentation skills", "documentationSkills" : "Financial reporting", "problemSolvingSkills" : "Analytical skills", "qualificationsBasic" : "6+ years experience", "qualificationsPreferred" : "CFA charterholder preferred, MBA preferred, Master's degree preferred", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "RESPONSIBILITIES: - - Partner with FP&A on topline forecasting, ensuring assumptions are grounded in operational reality and core business drivers are clearly defined and measurable. - Improve the structure, consistency, and scalability of planning processes across budget, rolling forecast, and long-range planning. - Establish clear frameworks for pacing and variance analysis that increase organizational accountability and improve forecast precision over time. - Translate complex business dynamics into structured, decision-oriented insights for senior leadership. - Partner with Growth and Marketing to ensure initiative-level forecasts align to company targets and reflect sound financial logic. - Build thoughtful business cases for incremental investments and initiatives, grounded in disciplined, data-driven tradeoff analysis. - Help leadership understand the financial implications of strategic decisions - balancing short-term performance with long-term value creation. - Design and institutionalize scalable planning frameworks that improve accuracy and reduce friction across teams. QUALIFICATIONS: - - 6+ years of experience in Financial Analytics, Strategic Finance, Growth Analytics, or a similarly rigorous role within a subscription, DTC, or consumer technology business. - Strong financial modeling skills; comfortable building and refining driver-based forecasts that support executive planning. - Demonstrated ability to deeply understand business models and connect operational drivers to financial outcomes. - Strong track record building business cases and evaluating strategic tradeoffs using structured analytical frameworks. - High bar for analytical integrity and a bias toward accuracy over narrative. - Advanced SQL proficiency required; experience working with complex data models in Snowflake, dbt, or similar environments preferred. - Strong executive presence; able to defend assumptions and recommendations clearly and confidently. - Proven ability to align stakeholders with differing priorities around shared, data-driven conclusions. - Self-starter with a player-coach mentality - equally comfortable shaping strategy and diving deep into the underlying data and models. This role is based in the WHOOP office located in Boston, MA. The successful candidate must be prepared to relocate if necessary to work out of the Boston, MA office. Interested in the role, but don’t meet every qualification? We encourage you to still apply! At WHOOP, we believe there is much more to a candidate than what is written on paper, and we value character as much as experience. As we continue to build a diverse and inclusive environment, we encourage anyone who is interested in this role to apply. WHOOP is an Equal Opportunity Employer and participates in E-verify https://www.e-verify.gov/to determine employment eligibility The WHOOP compensation philosophy is designed to attract, motivate, and retain exceptional talent by offering competitive base salaries, meaningful equity, and consistent pay practices that reflect our mission and core values. At WHOOP, we view total compensation as the combination of base salary, equity, and benefits, with equity serving as a key differentiator that aligns our employees with the long-term success of the company and allows every member of our corporate team to own part of WHOOP and share in the company’s long-term growth and success. The U.S. base salary range for this full-time position is $150,000 - $180,000. Salary ranges are determined by role, level, and location. Within each range, individual pay is based on factors such as job-related skills, experience, performance, and relevant education or training. In addition to the base salary, the successful candidate will also receive benefits and a generous equity package. These ranges may be modified in the future to reflect evolving market conditions and organizational needs. 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We challenge our limits. Always. We’re ambitious. We’re game changers. And we play to win. We set the highest standards and execute beyond them. And if you’re like us, we can offer you the ultimate career opportunity that will light a fire within you. So, what’s the role all about? We are seeking a highly skilled and experienced Senior AI and Analytics AML Product Manager to join our dynamic team. The successful candidate will play a crucial role in leading the development and execution of our AI and analytics AML products. This individual will work closely with cross-functional teams to define product requirements, drive product development, and ensure successful delivery to market. The Senior AI and Analytics Product Manager will leverage their expertise in machine learning, data analytics, and product management to drive innovation and deliver value to our customers. This is a customer-facing role that requires regular interaction with financial institutions (FIs), gathering feedback, building relationships, and understanding the challenges and pain points. The role involves travel and deep engagement with customers to align our products with real-world needs. Knowledge of AML and financial crime is critical to succeed in this position. How will you make an impact? Product Strategy and Roadmap Development: Lead the development of the AI and analytics AML products and roadmap, aligning with the company's overall vision and objectives. Conduct market research and competitive analysis to identify market trends, customer needs, and opportunities for differentiation. Define product priorities and initiatives based on customer feedback, business goals, and technical feasibility. Product Planning and Execution: Collaborate with cross-functional teams including engineering, data science, design, and marketing to define product requirements and specifications. Drive the product development process from concept to launch, ensuring timely delivery and adherence to quality standards. Manage the product lifecycle, including feature prioritization, release planning, and post-launch performance monitoring. AI and Analytics Expertise: Apply deep knowledge of machine learning techniques to enhance product capabilities and drive innovation. Leverage data analytics and visualization tools to derive insights from large datasets and inform product decisions. Stay abreast of advancements in AI technology, industry trends, and best practices to continually improve product offerings. Customer Engagement and Feedback: Work directly with customers, including banks and financial institutions, to understand their challenges and gather actionable feedback. Present product concepts and solutions to customers, aligning product functionality with their needs. Travel as needed to meet with customers, participate in industry events, and ensure products address real-world AML scenarios. Stakeholder Management: Build strong relationships with internal stakeholders, including executives, sales, professional services, and customer success teams, to ensure alignment and support for product initiatives. Collaborate with industry experts and partners to validate product concepts and strengthen market positioning. Performance Tracking and Optimization: Define key performance indicators (KPIs) and metrics to measure the success of AI and analytics products. Analyze product performance data, customer feedback, and market trends to identify opportunities for optimization and growth. Iterate on product features and functionalities based on insights gained from data analysis and feedback loops. Have you got what it takes? Bachelor’s or advanced degree in computer science, engineering, data science, or related field. 3+ years of previous experience in AML products or financial crime detection solutions. Proven track record of 7+ years in product management, with a focus on SaaS \\ machine learning, or analytics products. Proven experience working directly with customers, understanding their needs, and presenting product solutions to address those needs. Strong knowledge of AML domain, detection techniques, and financial institution challenges. Experience working with cross-functional teams in an agile development environment. Excellent communication skills with the ability to effectively collaborate with technical and non-technical stakeholders. Analytical mindset with proficiency in data analysis and problem-solving. Demonstrated leadership abilities with a passion for driving innovation and delivering impactful products. You will have an advantage if you also have: Knowledge of cloud platforms (e.g., AWS, Azure, Google Cloud) and big data technologies. What’s in it for you? Join an ever-growing, market-disrupting, global company where the teams – comprised of the best of the best – work in a fast-paced, collaborative, and creative environment! As the market leader, every day at NiCE is a chance to learn and grow, and there are endless internal career opportunities across multiple roles, disciplines, domains, and locations. If you are passionate, innovative, and excited to constantly raise the bar, you may just be our next NiCEr! Enjoy NiCE-FLEX! At NiCE, we work according to the NiCE-FLEX hybrid model, which enables maximum flexibility: 2 days working from the office and 3 days of remote work, each week. Naturally, office days focus on face-to-face meetings, where teamwork and collaborative thinking generate innovation, new ideas, and a vibrant, interactive atmosphere. Requisition ID: 11207 Reporting into: Director, Product Management Role Type: Individual Contributor #LI-Hybrid About NICE Actimize: NiCE Actimize is the largest and broadest provider of financial crime, risk and compliance solutions for regional and global financial institutions, as well as government regulators. Consistently ranked as number one in the space, NICE Actimize experts apply innovative technology to protect institutions and safeguard consumers’ and investors’ assets by identifying financial crime, preventing fraud and providing regulatory compliance. About NiCE NICE Ltd. (NASDAQ: NICE) software products are used by 25,000+ global businesses, including 85 of the Fortune 100 corporations, to deliver extraordinary customer experiences, fight financial crime and ensure public safety. Every day, NiCE software manages more than 120 million customer interactions and monitors 3+ billion financial transactions. Known as an innovation powerhouse that excels in AI, cloud and digital, NiCE is consistently recognized as the market leader in its domains, with over 8,500 employees across 30+ countries. NiCE is proud to be an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, national origin, age, sex, marital status, ancestry, neurotype, physical or mental disability, veteran status, gender identity, sexual orientation or any other category protected by law.", "summaryDescription" : "Senior AI and Analytics AML Product Manager at NICE. Skills: Product strategy, Roadmap, User stories. Develop product strategy. 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Product teams; Engineering teams; Design teams; Operations teams; Business teams; Multidisciplinary teams", "projectManagementSkills" : [ "Roadmap development", "Prioritization", "Execution" ], "domainKnowledge" : "Machine learning concepts; Generative AI technologies; Large language models; LLMs; Advanced analytics; AI infrastructure; Data privacy; Data governance; AI security; Ethical AI principles", "domainList" : [ "machine-learning-concepts", "generative-ai-technologies", "large-language-models", "llms", "advanced-analytics", "ai-infrastructure", "data-privacy", "data-governance", "ai-security", "ethical-ai-principles" ], "domainSpecificKnowledge" : [ "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "communicationSkills" : "Explain technical concepts; Explain trade-offs", "continuousLearning" : "Product management best practices", "innovationCreativity" : "Culture of innovation", "problemSolvingSkills" : "Navigate ambiguity; Prioritize competing objectives; Execute complex initiatives", "qualificationsBasic" : "Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline, 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products, Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions, Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives, Experience working across multidisciplinary teams in fast-paced environments", "qualificationsPreferred" : "Familiarity with regulated industries, Understanding of data privacy, governance, security, and ethical AI principles", "remoteFriendly" : true, "workSiteFlexibility" : "Remote", "rawDescription" : "## Accountabilities Define and execute a multi-year product vision and roadmap for data and AI platforms, aligning initiatives with business objectives, growth strategies, and operational priorities. Lead the development and deployment of advanced AI, machine learning, generative AI, and analytics solutions, managing the full product lifecycle from ideation and experimentation to scalable production delivery. Collaborate closely with cross-functional stakeholders across product, engineering, design, operations, and business teams to integrate intelligent capabilities into core products and workflows. Establish frameworks for measuring product performance, experimentation, and business impact, using data-driven insights to guide decision-making and optimization efforts. Translate complex business challenges into clear product requirements and act as a bridge between technical specialists and non-technical stakeholders. Promote responsible AI development by partnering with governance, privacy, and compliance stakeholders to ensure ethical, secure, and reliable product outcomes. Mentor team members, contribute to product management best practices, and help foster a culture of innovation, collaboration, and continuous improvement. Requirements Bachelor's or Master's degree in Computer Science, Data Science, Engineering, Mathematics, Statistics, or a related quantitative discipline. 8+ years of product management experience within enterprise SaaS, cloud software, technology, or highly regulated industries, with a strong track record of delivering large-scale products. At least 3 years of hands-on experience launching and scaling machine learning, AI, or data-driven products. Deep understanding of machine learning concepts, generative AI technologies, large language models (LLMs), advanced analytics, and the infrastructure required to support AI solutions. Proven ability to develop product strategies, navigate ambiguity, prioritize competing objectives, and successfully execute complex initiatives. Strong communication and stakeholder management skills, with the ability to explain technical concepts and trade-offs to executive and non-technical audiences. Experience working across multidisciplinary teams in fast-paced environments and influencing decisions without direct authority. Familiarity with regulated industries and an understanding of data privacy, governance, security, and ethical AI principles is considered a strong advantage. Benefits Annual base salary ranging from $161,000 to $221,500, depending on experience, qualifications, and location. Eligibility for performance-based or discretionary bonus programs. Comprehensive healthcare coverage, including medical, dental, vision, life, and disability insurance options. Flexible spending accounts (FSA) and health savings account (HSA) programs. Access to coaching, therapy, and well-being support services. Equity participation through company stock programs. Generous paid time off, including vacation, sick leave, and company holidays. Paid parental leave. 401(k) retirement plan with company matching contributions. Monthly technology allowance. Additional wellness initiatives, employee events, recognition programs, and community-focused activities. ## 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" : "Lead Product Manager, Data and AI. Skills: Machine learning, Generative AI, Analytics solutions. Define product vision and roadmap. Execute product vision and roadmap", "postedDate" : "2026-06-15T09:26:38.520", "createdAt" : "2026-06-15T09:26:38.520", "lastUpdated" : "2026-06-16T13:00:21.262", "ingestTimestamp" : "2026-06-16T03:24:32.331", "mongoId" : "6a305119f292fd229cef9c97", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "75k-100k", "hasSalary" : false, "allSkills" : [ "AI development", "Analytics solutions", "Product performance measurement", "Experimentation frameworks", "Leadership", "Mentoring", "Machine learning", "Generative AI", "Product strategy", "Roadmap development", "Product lifecycle management", "Stakeholder management", "Product requirements", "Data-driven decision making", "Prioritization", "Execution", "Machine learning concepts", "Generative AI technologies", "Large language models", "LLMs", "Advanced analytics", "AI infrastructure", "Data privacy", "Data governance", "AI security", "Ethical AI principles" ], "skillCount" : 26, "jobCategory" : "product", 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Identify high priority risk areas, Explore risks using data analytics, Carry out data analysis, Gather initial requirements, Production deployment, Operations, Solve analytics challenges, Integrate analytics with enterprise-level solution development, Provide viable insights to clients, Manage data architectures, Build data architectures, Optimize data architectures, Convert data into relevant insights, Interpret data using data governance, Interpret data using data quality processes, Design data pipelines for data ingestion, Design data pipelines for data transformation, Ensure reconciliation of data, Ensure accuracy of data, Develop data modelling documentation, Develop architecture documentation, Provide technical trainings on data analytics standards, Provide technical trainings on data analytics procedures, Mentor junior colleagues, Communicate with technical stakeholders, Communicate with non-technical stakeholders, Understand business needs, Define business needs, Translate business needs to data science context, Contribute to design of analytical solutions, Contribute to development of analytical solutions, Respond to risks, Interact cohesively with team members, Be a buddy to new members", "teamCollaboration" : "Agile, collaborative environment; Partnering with stakeholders; Partnering with audit team; Partnering with data analytics consultants; Work with colleagues in South Africa; Work with colleagues in Europe", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory team", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory-team" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory team" ], "toolProficiency" : [ "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow" ], "communicationSkills" : "Communicate technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Deliver creative solutions", "problemSolvingSkills" : "Solve analytics challenges", "qualificationsBasic" : "Data analysis from requirements gathering to deployment, Communicate technical concepts to wide audience, Data transformation and modelling, Formulate conclusions and recommendations, SQL proficiency, 5+ years of experience", "qualificationsPreferred" : "PhD preferred, Specific ML framework experience, Cloud platform certs", "remoteFriendly" : true, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Machine learning, Data engineering, Business intelligence. Apply data analytic techniques. Increase organisation's capacity to anticipate risk", "postedDate" : "2026-06-15T12:25:38.000", "createdAt" : "2026-06-16T01:35:11.907", "lastUpdated" : "2026-06-16T10:55:19.734", "ingestTimestamp" : "2026-06-16T01:35:11.907", "mongoId" : "6a307baef292fd229c047577", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Data analysis", "Data transformation", "Data modelling", "Data architecture", "Data pipelines", "Risk analysis", "Business insights", "Data analytics", "Machine learning", "Data engineering", "Business intelligence", "Risk assessment", "Business needs analysis", "Agile", "Risk and control issues", "Financial risk", "Regulatory team", "Tableau", "Power BI", "Looker", "Snowflake", "BigQuery", "Redshift", "Databricks", "Dbt", "Fivetran", "Airflow", "MLflow" ], "skillCount" : 28, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a306170f292fd229cf96847", "title" : "IRL Data Analytics - Consultant", "company" : "Deloitte", "industry" : "Computer Software", "salary" : { "min" : 450000.0, "max" : 650000.0, "currency" : "ZAR", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for a Junior Data Analytics Consultant in Midrand, South Africa, adjusted for the consulting industry and Deloitte's company size." }, "location" : "Midrand, GP, ZA", "locations" : [ "Midrand", "GP", "ZA" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T10:41:53.011", "fingerprint" : "cfa624aff6aec076545870c7ef6b5d3fbf4b80d80c642519086d671d38789131", "source" : "smartrecruiters", "language" : "en", "applyUrl" : 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"Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization" ], "hardSkills" : [ { "name" : "Statistical analysis", "level" : "intermediate" }, { "name" : "Machine learning", "level" : "intermediate" }, { "name" : "Data engineering", "level" : "intermediate" }, { "name" : "Risk anticipation", "level" : "intermediate" }, { "name" : "Business opportunity maximization", "level" : "intermediate" } ], "majorSkills" : "Data analytics, Data science, Machine learning, Business intelligence", "majorSkillsList" : [ "Data analytics", "Data science", "Machine learning", "Business intelligence" ], "coreResponsibilities" : "Apply data analytic techniques, Increase organisation's capacity to anticipate risk, Maximize business opportunities through data driven insights, Identify high priority risk areas, Explore risks using data analytics, Carry out data analysis, Gather initial requirements, Production deployment, Operations, Solve analytics challenges, Integrate analytics with enterprise-level solution development, Provide viable insights to clients, Manage data architectures, Build data architectures, Optimize data architectures, Convert data into relevant insights, Use data analytics technologies, Provide clear interpretations, Use data governance processes, Use data quality processes, Design data pipelines for data ingestion, Design data pipelines for data transformation, Ensure reconciliation of data, Ensure accuracy of data, Develop data modelling documentation, Develop architecture documentation, Provide technical trainings on data analytics standards, Provide technical trainings on data analytics procedures, Mentor junior colleagues, Communicate with technical stakeholders, Communicate with non-technical stakeholders, Understand business needs, Define business needs, Translate business needs to data science context, Contribute to design of analytical solutions, Contribute to development of analytical solutions, Respond to risks, Continuously improve yourself, Solve clients' problems, Interact cohesively with team members, Be a buddy to new members", "teamCollaboration" : "Agile, collaborative environment; Partnering with stakeholders; Audit team; Data analytics consultants; Financial Risk & Regulatory team", "projectManagementSkills" : [ "Agile" ], "domainKnowledge" : "Risk and control issues; Financial risk; Regulatory", "domainList" : [ "risk-and-control-issues", "financial-risk", "regulatory" ], "domainSpecificKnowledge" : [ "Risk and control issues", "Financial risk", "Regulatory" ], "toolProficiency" : [ "Dbt Cloud" ], "communicationSkills" : "Technical concepts; Storytelling skills", "documentationSkills" : "Data modelling documentation; Architecture documentation", "continuousLearning" : "Personal learning and development", "innovationCreativity" : "Innovate; Creative solutions", "problemSolvingSkills" : "Analytics challenges", "qualificationsBasic" : "5+ years of experience, SQL proficiency, Data analysis experience, Excellent communication skills", "qualificationsPreferred" : "PhD preferred, GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified certification, Dbt Certified certification", "remoteFriendly" : false, "workSiteFlexibility" : "Hybrid", "rawDescription" : "About Africa Talent Africa Talent by Deloitte (Africa Talent) is a standalone division of Deloitte, owned by Deloitte Africa and Deloitte Netherlands, based in South Africa. Our goal is to meet the growing demand for Talent in Africa and Europe; by recruiting and developing Talent throughout Sub Saharan Africa in order to service the diverse needs and to enable projects at our clients. Talent employed will have the full experience of Deloitte, while getting both international and local exposure to a diverse set of clients, working remotely from Africa. It will take advantage of the demographic reality of Africa as a future source of talent for both Africa and Europe and at its core, the goal is to create employment in Africa and invest in African talent. The ethos of our organisation is characterised by vision, purpose beyond profit and an appetite to innovate and deliver creative, high impact solutions to client challenges. Every day, your work will make an impact that matters, while you thrive in a dynamic culture of inclusion, collaboration, and high performance. As the undisputed leader in professional services, Deloitte – Africa Talent - is where you will find unrivalled opportunities to succeed and realize your full potential. This new team is a true encapsulation of hybrid work whereby you gain access and exposure to learn from and engage with colleagues in South Africa and across Europe, while working virtually from your local Deloitte office, or from home. The learning consultant is key to the continued development of our Africa Talent Professionals and key to the value we add to making our clients responsible businesses. Being a quickly growing division also brings ample opportunities for personal growth in the role. What’s in it for you? • An ever dynamic and growing internal scaleup with a purpose • The stability and trustworthiness of a purpose driven global brand, ready to build your own future and add to Africa’s prosperity • Being the driver of Africa Talent’s day-to-day operations • A competitive package of benefits • A hybrid work environment with possibility to work at home some days • A driven and ambitious team that looks to you for making the team tick A member of the Data Analytics team, you will assist with applying data analytic techniques to increase an organisation’s capacity to anticipate risk and maximise business opportunities through data driven insights. Deloitte’s deep and thorough understanding of underlying risk and control issues, combined with our knowledge of technology and analytic skills, uniquely helps us to identify high priority risk areas in our client’s businesses and explore those risks using data analytics. Successful candidates will have demonstrated their ability to carry out data analysis from initial requirements gathering through to production deployment and operations. They would have communicated a deep interest in solving analytics challenges using many different techniques and technologies and have demonstrated their ongoing commitment to personal learning and development in this discipline. Excellent communication skills with demonstrated ability to clearly communicate technical concepts to a wide audience is a must. Expertise in data transformation and modelling analytic results, you’ll formulate conclusions and recommendations to client stakeholders, leveraging strong consulting, communication, visualization including storytelling skills. • Work in an agile, collaborative environment, partnering with other stakeholders including audit team and data analytics consultants to integrate the analytics with enterprise-level solution development with the aim of providing viable insights to clients. • Responsible for managing, building and optimizing data architectures and Convert into relevant insights using data analytics technologies and clear interpretations using data governance and data quality processes. • Design of data pipelines for data ingestion and data transformation and ensure the reconciliation and accuracy of the data • Development of data modelling and architecture documentation • Provide technical trainings on data analytics standards and procedures including mentorship to junior colleagues. • Communicate with technical and non-technical stakeholders to understand and define business needs and translate them to a data science context • Contribute to the design and development of analytical solutions in response to these risks. • A passion for continuously improving yourself and how we best solve our clients’ problems • Interact cohesively with other members of the Financial Risk & Regulatory team, including being a buddy to new members of the team. • Open and honest communication to understand what is required of you and how you and others can improve. • Contribute to the analysis and interpretation of data towards relevant communications to explain the value of the work completed. • Assist in identifying and collecting data from financial systems and other related data sources • Assist in assessing and determining the techniques and tools to be used in collection, analysis and communication for a project • Apply selected analytical techniques and tools to achieve project outcomes • Ability to effectively work in technical cross-functional teams • Provide expertise on data analytics and digital transformation • Ability to work independently and manage multiple tasks while maintaining project timelines • Understanding of ML and AI concepts and its applicability. • SAP experience an advantage. • Project management skills essential for this role. • Practical data engineering skillset is a basic requirement but fundamental domain experience in any field is a complimentary advantage ## Qualifications Are you someone with: • 2- 3 years experience with MS SQL Server and experience in visual communication of analysis (i.e. Tableau and Power BI) • Experience extracting and analysing data from complex data sets and systems • Strong attention to detail with a curiosity to understand data • Ability to thrive working in a team environment and serving clients with distinction • Ability to turn data into insights and communicate insights effectively with our clients • Ideally, experience in visual communication of analysis (e.g. Tableau, Qlik, Power BI) • Strong Knowledge of Excel and VBA ## Additional Information We are always interested in talking with professionals about their next career experience. If you have a passion for learning from talented people and benefit from the support of a global organization and network, apply online now. If you believe that you meet most of the criteria above, we encourage you to apply. Deloitte is an equal opportunities employer and will ensure any reasonable accommodations are implemented as part of the recruitment and selection process. Note: The list of tasks / duties and responsibilities contained in this document is not necessarily exhaustive. Deloitte may ask the employee to carry out additional duties or responsibilities, which may fall reasonably within the ambit of the role profile, depending on operational requirements. Be careful of Recruitment Scams: Fraudsters or employment scammers often pose as legitimate recruiters, employers, recruitment consultants or job placement firms, advertising false job opportunities through email, text messages and WhatsApp messages. They aim to cheat jobseekers out of money or to steal personal information. To help you look out for potential recruitment scams, here are some Red Flags: * Upfront Payment Requests : Deloitte will never ask for any upfront payment for background checks, job training, or supplies. * Requests for Personal Information : Be wary if you are asked for sensitive personal information, especially early in the recruitment process and without a clear need for it. Fraudulent links or contractual documents may require the provision of sensitive personal data or copy documents (e.g., government issued numbers or identity documents, passports or passport numbers, bank account statements or numbers, parent’s data) that may be used for identity fraud. Do not provide or send any of these documents or data. Please note we will never ask for photographs at any stage of the recruitment process. * Unprofessional Communication : Scammers may communicate in an unprofessional manner. Their messages may be filled with poor grammar and spelling errors. The look and feel may not be consistent with the Deloitte corporate brand. If you're unsure, make direct contact with Deloitte using our official contact details. Be careful not to use any contact details provided in the suspicious job advertisement or email. At Deloitte, we want everyone to feel they can be themselves and to thrive at work—in every country, in everything we do, every day. We aim to create a workplace where everyone is treated fairly and with respect, including reasonable accommodation for persons with disabilities. We are committed to employment equity and building a diverse and inclusive workplace across the African continent. Our recruitment processes are aligned with our Employment Equity Plan and the principles of the Employment Equity Act. Preference may be given to candidates from designated groups. We actively support the inclusion of people with disabilities and embrace neurodiversity in the workplace. We recognise and value the unique strengths that neurodivergent individuals bring, and we are committed to creating an environment where everyone can thrive. If you require reasonable accommodations in relation to your disability and neurodiverse needs during the recruitment process, please let us know. We are happy to make adjustments to suit your individual needs.", "summaryDescription" : "IRL Data Analytics - Consultant at Deloitte. Skills: Data analytics, Data science, Machine learning, Business intelligence. Apply data analytic techniques. Increase organisation's capacity to anticipate risk", "postedDate" : "2026-06-15T12:25:38.000", "createdAt" : "2026-06-16T00:16:19.926", "lastUpdated" : "2026-06-16T10:41:53.011", "ingestTimestamp" : "2026-06-16T00:16:19.926", "mongoId" : "6a306170f292fd229cf96847", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryBand" : "200k+", "hasSalary" : false, "allSkills" : [ "Statistical analysis", "Machine learning", "Data engineering", "Risk anticipation", "Business opportunity maximization", "Data analytics", "Data science", "Business intelligence", "Data transformation", "Data modelling", "Analytics engineering", "Quantitative analysis", "Agile", "Risk and control issues", "Financial risk", "Regulatory", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "Dbt Cloud" ], "skillCount" : 21, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Junior", "dataQualityScore" : 1.0, "daysOld" : 0, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "Consulting", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ebf7c74d8ee00a0e9ab2c", "title" : "Managed Care Executive", "company" : "Labcorp", "industry" : "Healthcare", "salary" : { "min" : 100000.0, "max" : 100000.0, "currency" : "USD", "frequency" : "yearly" }, "location" : "United States of America", "locations" : [ "United States of America" ], "timestamp" : "2026-06-15T23:33:31.994", "fingerprint" : "762c75ef88da58b7540aad09c7d0686a7472d038ce6800fcf95c262e91516be1", "source" : "workday", "language" : "en", "applyUrl" : "https://labcorp.wd1.myworkdayjobs.com/External/job/San-Diego-CA/Managed-Care-Executive---West-Division_2619445", "externalId" : "2619445", "industryFunction" : { }, "locationPoint" : "51.43667,5.97917", "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "onsite" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "minimumEducation" : "Bachelor's", "experienceMinYears" : 3, "experienceMaxYears" : 99, "experienceLevel" : "Executive", "coreResponsibilities" : "Drive revenue growth, Develop and execute sales strategies, Manage client relationships, Achieve sales targets, Identify new business opportunities, Negotiate and close deals, Collaborate with internal teams, Provide market feedback", "teamCollaboration" : "Internal teams", "outcomesObjectives" : "Drive revenue growth; Achieve sales targets", "remoteFriendly" : false, "workSiteFlexibility" : "Onsite", "rawDescription" : "Labcorp is seeking a **Managed Care Executive** to join our team. The territory for this position will cover parts of the West Coast of country. The ideal candidate will reside in CA or OR. **Primary Responsibilities:** * Responsible for the development of new managed care relationships, as well as the retention and growth of existing regional managed care plans within the West Division. * Act as liaison for implementation of initiatives for national managed care organizations. * Negotiate new agreements and manage existing agreements between Labcorp and its managed care organization clients. Provide oversight to ensure contractual deliverables and service levels are met. Negotiate as appropriate to arrive at cost-effective, client friendly solutions. * Establish, build and maintain positive, professional relationships at all decision levels within managed care organizations. * Reinforce our superiority as the national laboratory service and information leader in the healthcare industry. * Demonstrate value-added solutions using a professional consultative approach. * Work in conjunction with the Regional Managers of Business Development to identify additional new business opportunities. * Assume responsibility and accountability for assigned managed care revenue retention. Provide input for service enhancement and new service innovation. Communicate and resolve issues, concerns and problems in a solution-oriented manner. * Keep management and the sales team apprised of competitive activity within assigned region/accounts. * Provide management with timely reporting as required and requested. **Required Qualifications:** * Bachelor’s degree * 3 years, account management, or sales experience in the healthcare industry, preferably specializing in managed care * Valid driver's license along with a clean driving record. Must be able to travel within assigned territory. **Preferred Qualifications:** * Graduate degree * 5 or more years account management or sales experience in the healthcare industry specializing in managed care. **Additional Job Standards:** * Strong understanding of managed care organizations and providers (i.e., health plans, contracting fees.) * Financial and contracting acumen experience * Ability to increase productivity, plan penetration, and collaboration with the ACO, hospital and physician sales teams * Proven experience collaborating with various internal stakeholders, such as Legal, Revenue Cycle Management, IT, Quality team. * Consultative sales experience calling on all levels within a managed care organization * Proficient in MS Office - Excel (creating spreadsheets) and PowerPoint (creating sales presentations) * Ability to build strong and positive business relationships * Ability to motivate in a team setting * Ability to exhibit strong time management, organizational and research skills **Application window open through:** 6/26/2026 **Pay Range:** $100,000 to $130,000 base salary All job offers will be based on a candidate’s skills and prior relevant experience, applicable degrees/certifications, as well as internal equity and market data. **Variable Compensation Sales:** The position is also eligible for bonus and/or commissions under the applicable variable compensation plan. Bonus/commissions are earned based on achievement of performance metrics under the plan. **Benefits:** Employees regularly scheduled to work 20 or more hours per week are eligible for comprehensive benefits including: Medical, Dental, Vision, Life, STD/LTD, 401(k), Paid Time Off (PTO) or Flexible Time Off (FTO), Tuition Reimbursement and Employee Stock Purchase Plan. Employees regularly scheduled to work less than 20 hours, Casual, Intern, and Temporary employees are only eligible to participate in the 401(k) Plan. Employees who are regularly scheduled to work a 7 on/7 off schedule are eligible to receive all the foregoing benefits except PTO or FTO. For more detailed information, please**[click here](https://careers.labcorp.com/global/en/us-rewards-and-wellness). ** **Labcorp is proud to be an Equal Opportunity Employer:** Labcorp strives for inclusion and belonging in the workforce and does not tolerate harassment or discrimination of any kind. We make employment decisions based on the needs of our business and the qualifications and merit of the individual. Qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex (including pregnancy, childbirth, or related medical conditions), family or parental status, marital, civil union or domestic partnership status, sexual orientation, gender identity, gender expression, personal appearance, age, veteran status, disability, genetic information, or any other legally protected characteristic. Additionally, all qualified applicants with arrest or conviction records will be considered for employment in accordance with applicable law. **We encourage all to apply** If you are an individual with a disability who needs assistance using our online tools to search and apply for jobs, or needs an accommodation, please visit our [accessibility site](https://careers.labcorp.com/global/en/accessibility) or contact us at [Labcorp Accessibility.](mailto:Disability_apply@LabCorp.com) For more information about how we collect and store your personal data, please see our [Privacy Statement](https://www.labcorp.com/about/web-privacy-policy).", "summaryDescription" : "Managed Care Executive at Labcorp. Drive revenue growth. Develop and execute sales strategies", "postedDate" : "2026-06-12T21:59:52.408", "createdAt" : "2026-06-14T21:59:52.359", "lastUpdated" : "2026-06-15T23:33:31.994", "ingestTimestamp" : "2026-06-14T21:59:52.359", "mongoId" : "6a2ebf7c74d8ee00a0e9ab2c", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "sourceUrl" : "https://labcorp.wd1.myworkdayjobs.com/External/job/San-Diego-CA/Managed-Care-Executive---West-Division_2619445", "salaryAnnualMin" : 100000, "salaryAnnualMax" : 100000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "sales", "jobSubcategory" : "revenue", "seniorityLevel" : "mid", "dataQualityScore" : 0.8888889, "daysOld" : 3, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Healthcare", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2c92ba74d8ee00a09866b9", "title" : "Staff Data Engineer, Cloud Optimization", "company" : "Attentive", "industry" : "Technology", "salary" : { "min" : 240000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : false }, "location" : "United States", "locations" : [ "United States" ], "timestamp" : "2026-06-16T02:39:43.248", "fingerprint" : "c87b140aaa1fa6cb419d70807c470e2c451f66f9afc9d859ebc300d35a9609ef", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/attentive/jobs/4120604009", "externalId" : "4120604009", "industryFunction" : { }, "structuredLocations" : [ { "country" : "United States", "continent" : "na", "workMode" : "remote" } ], "locationText" : "United States", "employmentType" : "FULL_TIME", "experienceMinYears" : 5, "experienceMaxYears" : 10, "experienceLevel" : "Senior", "remoteFriendly" : true, "rawDescription" : "Attentive® is the AI marketing platform for 1:1 personalization redefining the way brands and people connect. We’re the only marketing platform that combines powerful technology with human expertise to build authentic customer relationships. By unifying SMS, RCS, email, and push notifications, our AI-powered personalization engine delivers bespoke experiences that drive performance, revenue, and loyalty through real-time behavioral insights. Recognized as the #1 provider in SMS Marketing by G2, Attentive partners with more than 8,000 customers across 70+ industries. Leading global brands like Crate and Barrel, Urban Outfitters, and Carter’s work with us to enable billions of interactions that power tens of billions in revenue for our customers. With a distributed global workforce and employee hubs in New York City, San Francisco, London, and Sydney, Attentive’s team has been consistently recognized for its performance and culture. We’re proud to be included in Deloitte’s Fast 500 (four years running!), LinkedIn’s Top Startups, Forbes’ Cloud 100 (five years running!), Inc.’s Best Workplaces, and the Human Rights Campaign Foundation's Corporate Equality Index! About the Role Our Platform Infrastructure team is the backbone of everything we do at Attentive, providing a resilient and cost-effective platform that seamlessly handles billions of events from over 100 million customers daily. We own everything from compute, persistence, and networking to observability and deployments. Joining our team offers a high-growth career opportunity to collaborate with some of the world’s most talented engineers in a high-performance, high-impact culture. As a Staff Engineer in Cloud Optimization, you will have the opportunity to work across all of the engineering teams at Attentive, focusing on implementing and driving cost optimizations across our Software Stack. You will collaborate and work with engineers, product managers and our finance team. Your work will drive millions of cost savings, provide enhanced visibility and improve our cost model. What You’ll Accomplish Spearhead FinOps initiatives to increase cost transparency and optimize resource utilization across teams Provide guidance and mentorship to engineers on cost-optimization best practices Collaborate with teams across the organization to implement cost-saving measures Analyze, troubleshoot, coordinate, and resolve complex infrastructure issues Proactively lead infrastructure initiatives that have a company-wide impact Partner with engineering teams to influence cost-effective architectural and design choices Develop automation workflows to enhance team productivity and efficiency Foster a culture of continuous improvement by encouraging innovative thinking and challenging established norms Your Expertise 2+ years of experience in FinOps or cloud cost management 5+ years of experience in cloud infrastructure management, development or related roles Strong analytical and problem-solving skills with a keen attention to detail Excellent communication and leadership abilities You have development experience working with data warehouse tools like Snowflake, Clickhouse, Trino, etc You’ve experience with open source data storage formats such as Apache Iceberg, Parquet, Arrow, or Hudi You are knowledgeable about data modeling, data access, and data replication techniques, such as CDC. Ability to work collaboratively in a cross-functional team environment Proven experience as a Software Engineer with a focus on high throughput scalable systems. In-depth knowledge of high throughput processing technologies such as Spark, Flink, and/or Kafka. Proficiency in Java and strong understanding of object-oriented design, data structures, algorithms, and optimization. What We Use Our backend is Java / Kotlin / Spring Boot microservices, built with Gradle, coupled with things like DynamoDB, Aurora, AirFlow, Postgres, and Redis, hosted via AWS Our infrastructure runs primarily in Kubernetes hosted in AWS’s EKS, using tooling like Istio, Datadog, Terraform, CloudFlare, and Helm Our frontend is built with React and TypeScript, and uses best practices like GraphQL, Storybook, Radix UI, Vite, esbuild, and Playwright Our automation is driven by custom and open source machine learning models, industry-leading LLMs, lots of data and tech like Python, Metaflow, HuggingFace, PyTorch, TensorFlow, and Pandas You'll get competitive perks and benefits, from health & wellness to equity, to help you bring your best self to work. For US based applicants: The US base salary range for this full-time position is $180,000 - $240,000 annually + equity + benefits Our salary ranges are determined by role, level and location #LI-HB1 By applying for this position, your data will be processed as per Attentive's Privacy Policy. Attentive Company Values Default to Action - Move swiftly and with purpose Be One Unstoppable Team - Rally as each other’s champions Champion the Customer - Our success is defined by our customers' success Act Like an Owner - Take responsibility for Attentive’s success Learn more about AWAKE, Attentive’s collective of employee resource groups. If you do not meet all the requirements listed here, we still encourage you to apply! No job description is perfect, and we may also have another opportunity that closely matches your skills and experience. At Attentive, we know that our Company's strength lies in the diversity of our employees. Attentive is an Equal Opportunity Employer and we welcome applicants from all backgrounds. Our policy is to provide equal employment opportunities for all employees, applicants and covered individuals regardless of protected characteristics. We prioritize and maintain a fair, inclusive and equitable workplace free from discrimination, harassment, and retaliation. Attentive is also committed to providing reasonable accommodations for candidates with disabilities. If you need any assistance or reasonable accommodations, please let your recruiter know.", "summaryDescription" : "Staff Data Engineer, Cloud Optimization at Attentive", "postedDate" : "2026-06-14T18:38:15.205", "createdAt" : "2026-06-14T18:38:15.205", "lastUpdated" : "2026-06-16T02:39:43.248", "ingestTimestamp" : "2026-06-14T18:38:15.205", "mongoId" : "6a2c92ba74d8ee00a09866b9", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 240000, "salaryBand" : "200k+", "hasSalary" : true, "allSkills" : [ ], "skillCount" : 0, "jobCategory" : "engineering", "jobSubcategory" : "software", "seniorityLevel" : "Lead", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : false, "llmIndustry" : "Technology", "llmIndustryConfidence" : 0.95 }, { "id" : "6a2ca53b74d8ee00a09b550a", "title" : "Data & Analytics Engineer", "company" : "True Classic", "industry" : "E-Commerce", "salary" : { "min" : 115000.0, "max" : 155000.0, "currency" : "USD", "frequency" : "yearly", "is_estimated" : true, "estimation_basis" : "Market baseline for Data & Analytics Engineer in Calabasas, CA, adjusted for mid-seniority and e-commerce industry." }, "location" : "Calabasas, California, United States", "locations" : [ "Calabasas", "California", "United States" ], "certifications" : [ "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified" ], "timestamp" : "2026-06-16T01:02:24.906", "fingerprint" : "4cb8ccd16e8ac76cf43a896155e7386d14131af5150e59a8e8bdadf542736a81", "source" : "greenhouse", "language" : "en", "applyUrl" : "https://job-boards.greenhouse.io/trueclassicteesllc/jobs/5238831008", "externalId" : "5238831008", "industryFunction" : { }, "structuredLocations" : [ { "city" : "Calabasas", "state" : "California", "country" : "United States", "continent" : "na", "source" : "llm", "workMode" : "onsite", "geo" : "34.1446643,-118.6440970" } ], "locationText" : "Calabasas, California, United States", "employmentType" : "FULL_TIME", "technicalSkills" : "SQL, Python, R, Scala, Spark, Dbt, Snowflake, BigQuery, Redshift, Databricks, Fivetran, Airflow, Dbt Cloud, Delta Lake, AWS, GCP, Azure, SageMaker, Vertex AI, Synapse, ML Studio, Scikit-learn, TensorFlow, PyTorch, XGBoost, LightGBM, Hugging Face, MLflow, Tableau, Power BI, Looker", "professionalSkills" : [ "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture" ], "hardSkillsList" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization" ], "hardSkills" : [ { "name" : "Data pipeline development", "level" : "intermediate" }, { "name" : "Database management", "level" : "intermediate" }, { "name" : "Cloud computing", "level" : "intermediate" }, { "name" : "Machine learning implementation", "level" : "intermediate" }, { "name" : "Statistical modeling", "level" : "intermediate" }, { "name" : "Data visualization", "level" : "intermediate" } ], "majorSkills" : "Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence", "majorSkillsList" : [ "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence" ], "coreResponsibilities" : "Design, build, and maintain scalable data pipelines, Develop and optimize data models and schemas, Implement ETL/ELT processes, Build and manage data warehouses and data lakes, Develop and deploy machine learning models, Create and maintain BI dashboards and reports, Perform data analysis to drive business insights, Ensure data quality and integrity, Collaborate with stakeholders to understand data needs, Automate data processes, Monitor and troubleshoot data systems", "teamCollaboration" : "Cross-functional teams; Engineering teams; Product teams; Business stakeholders", "domainKnowledge" : "E-commerce analytics; Customer behavior analysis; Marketing analytics; Supply chain analytics", "domainList" : [ "e-commerce-analytics", "customer-behavior-analysis", "marketing-analytics", "supply-chain-analytics" ], "domainSpecificKnowledge" : [ "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics" ], "toolProficiency" : [ "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "problemSolvingSkills" : "Data analysis; Troubleshooting; Root cause analysis", "qualificationsBasic" : "5+ years of experience in data engineering or analytics engineering, Proficiency in SQL, Bachelor's degree in Computer Science, Statistics, Mathematics, or related field", "qualificationsPreferred" : "Master's degree or PhD preferred, Experience with cloud data warehouses (Snowflake, BigQuery, Redshift), Experience with data pipeline orchestration tools (Airflow, Prefect), Experience with BI tools (Tableau, Power BI, Looker), Experience with ML frameworks (scikit-learn, TensorFlow, PyTorch), GCP Professional Data Engineer certification, AWS Data Analytics certification, Databricks Certified Associate, Dbt Certified Developer", "rawDescription" : "True Classic is hiring a Data & Analytics Engineer to partner in owning our data platform infrastructure and to serve as a key builder connecting our data warehouse to our AI, finance, and business stakeholder teams. This role will support core analytics engineering functions, ensuring clean, well-structured, and reliable data pipelines built to best practice standards. This role is ideal for someone who is hands-on and technically rigorous, with a strong command of data engineering best practices — including pipeline design, data modeling, testing, and documentation — and can contribute meaningfully to a mid-build platform in a fast-paced, evolving environment. All of True Classic’s roles are global and omni-channel, leading designated areas of accountability across all product categories, countries, and sales and marketing channels. This role will have impact across DTC, retail, wholesale, marketplaces, and emerging channels, ensuring strategic alignment and executional rigor across the enterprise. Areas of Accountability Extend & Maintain the Data Platform Build and maintain dbt models following best practices for modularity, testing, documentation, and code quality Contribute to completion of open data model workstreams across inventory, media, and product functions Expand data source connectivity and pipeline coverage across marketing and fulfillment systems Maintain and improve ETL/ELT workflows via Daasity and BigQuery Help monitor and optimize cloud data infrastructure for cost and performance Bridge Data to the Business Deploy and maintain Omni dashboards on top of BigQuery for cross-functional stakeholders Support business KPI tracking by structuring financial data for forecasting, cost modeling, and channel-level P&L Contribute to predictive models for demand forecasting, inventory planning, and revenue projections Build and maintain the serving layer that the AI team queries — clean, modeled BigQuery tables in place of direct API calls AI-Augmented Development Use AI coding tools (Claude Code, Cursor, Copilot) daily to write dbt models, debug pipelines, and accelerate development Collaborate with the AI team to ensure the warehouse serves their applications with clean inputs for automation, ML models, and real-time ops tools Identify opportunities where AI can automate data quality checks, anomaly detection, and pipeline monitoring Cross Functional Collaboration Work with finance to ensure financial data structures support forecasting and P&L reporting needs Partner with the AI team to ensure warehouse outputs support downstream automation and machine learning applications Work alongside merchandising, operations, and analytics stakeholders to translate business questions into reliable data models and visualizations Qualifications 4+ years of experience in data engineering or analytics engineering Strong understanding of data engineering best practices: pipeline design, data modeling, testing, and documentation Hands-on experience with dbt Cloud, Google BigQuery, and SaaS API pipeline development Strong SQL skills including joins, window functions, and CTEs Python proficiency for pipeline scripting, API integrations, and light modeling Familiarity with statistical modeling and predictive analytics (regression, time series) Comfortable working with non-technical stakeholders to translate business questions into data models and visualizations Proficiency with AI coding tools — daily use expected Preferred Qualifications NetSuite or ERP experience Daasity, Shopify/Amazon data Marketing attribution platforms (Meta CAPI, Google Ads, Triple Whale), Omni/Looker, GitHub-based workflows Workplace Arrangement This role is on-site (5x week in office) based in Calabasas, CA. Compensation and Benefits Compensation Competitive Salary + bonus Time Off Unlimited PTO and sick time Health & Wellness Company-paid medical, dental, and vision insurance $100/month Health & Wellness stipend Free Employee Assistance Program (EAP) Work & Growth Support $100/month Personal Workspace/Office stipend Perks $1,000/year True Classic merchandise allowance 401(k) plan with 3% company match True Classic is proud to be an equal opportunity employer. We celebrate and support differences in race, religion, color, national origin, gender, sexual orientation, gender identity, age, veteran status, and abilities. If you need assistance or accommodation due to a disability, please contact Human Resources. At True Classic, our purpose is simple: empower everyone to look good and feel good. Founded in 2019, we’re a fast-growing apparel brand obsessed with fit, quality, and impact. But we’re building more than great products—we’re building a high-performance team where smart, driven people do meaningful work, move fast, and see the direct results of what they create. Everything we do is guided by the True Classic Operating System (TCOS)—the principles that shape how we work, make decisions, and win together: Move the Needle – Our #1 value and the ultimate filter for decision-making. We focus on delivering tangible, measurable results that drive real business impact. Paint the Picture – We set clear vision and help others see what great looks like. Seek the Truth – We use data, customer insight, and curiosity to guide decisions. Get 1% Better – We continuously improve how we work through strong systems and small wins. Build Leverage – We maximize impact with the right mix of people, tools, automation, and AI. Crush the Challenge – We surface problems early and take ownership to solve them. Go Fast – We take initiative, move with urgency, and bias toward action. Be Creative – We challenge the norm and find better ways to win. Lead with Empathy – We care deeply about our customers and each other. If you thrive in fast-paced environments, take ownership of your work, and want to build something that actually moves the needle—join us and help shape what’s next at True Classic!", "summaryDescription" : "Data & Analytics Engineer at True Classic. Skills: Data Engineering, Analytics Engineering, Machine Learning, Business Intelligence. Design, build, and maintain scalable data pipelines. Develop and optimize data models and schemas", "postedDate" : "2026-06-14T19:16:27.116", "createdAt" : "2026-06-14T19:16:27.116", "lastUpdated" : "2026-06-16T01:02:24.906", "ingestTimestamp" : "2026-06-14T19:16:27.116", "mongoId" : "6a2ca53b74d8ee00a09b550a", "processingStatus" : "llm_updated", "llmProcessingStatus" : true, "salaryAnnualMin" : 115000, "salaryAnnualMax" : 155000, "salaryBand" : "100k-150k", "hasSalary" : true, "allSkills" : [ "Data pipeline development", "Database management", "Cloud computing", "Machine learning implementation", "Statistical modeling", "Data visualization", "Data Engineering", "Analytics Engineering", "Machine Learning", "Business Intelligence", "Data modeling", "ETL development", "Data warehousing", "Business intelligence", "Data analysis", "Statistical analysis", "Machine learning", "A/B testing", "Causal inference", "Data governance", "Data quality", "Data architecture", "E-commerce analytics", "Customer behavior analysis", "Marketing analytics", "Supply chain analytics", "GCP Professional Data Engineer", "AWS Data Analytics", "Databricks Certified", "Dbt Certified", "SQL", "Python", "R", "Spark", "Dbt", "Snowflake", "BigQuery", "Redshift", "Databricks", "Airflow", "Tableau", "Power BI", "Looker", "Scikit-learn", "TensorFlow", "PyTorch" ], "skillCount" : 46, "jobCategory" : "engineering", "jobSubcategory" : "data", "seniorityLevel" : "Mid", "dataQualityScore" : 0.8888889, "daysOld" : 1, "hasLocation" : true, "hasGeo" : true, "llmIndustry" : "E-Commerce", "llmIndustryConfidence" : 0.98 } ], "status" : 200, "message" : "healthcare analytics payor provider finance data and ai managed care contracting optimization jobs", "metadata" : { "title" : "healthcare analytics payor provider finance data and ai managed care contracting optimization" }, "pagination" : { "page" : 0, "limit" : 50, "totalCount" : 162293, "totalPages" : 3246, "hasNext" : true, "hasPrevious" : false } }

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