Top Data & Analytics Jobs

Lead end-to-end business analysis for data and technology projects: elicit requirements, create BRDs/functional specs/user stories, map processes, profile source data with SQL, build source-to-target mappings and documentation, support agile delivery and UAT, coordinate stakeholders, and present actionable recommendations to clients.

Lead data management and quality efforts, consult with stakeholders and vendors, design processes and solutions, perform root-cause analysis of complex data errors, implement improvements, integrate technologies, validate deliverables, and present recommendations to senior management to enable AI-ready data and BI solutions.

Design and maintain Power BI semantic models and Microsoft Fabric analytics solutions. Build scalable star schemas, DAX measures, Spark/PySpark pipelines, AI-enabled data experiences, and operational dashboards while partnering with engineers and BI teams to improve data quality, performance, and governance.

Process, validate and QA large survey datasets; produce datasets, tables, codeframes and documentation; support weighting, testing and statistical analyses; learn and apply Python/R, automation and AI-assisted tools; improve automated processing workflows under senior guidance.

Senior data processing analyst responsible for end-to-end survey data processing: specifications, weighting, QA, documentation and deliverables. Produce datasets and tables, perform statistical tests, and modernise/automate workflows (Python/R, replace SPSS). Apply AI-assisted tools, act as technical lead for projects, and mentor junior analysts.

Own and QA high-impact retail data products: design and run QA, investigate and resolve complex data quality issues, collaborate with Insights and Engineering, improve automation and product reliability, and communicate methodology and limitations to clients.

Support VHA specialty care programs with enterprise data management, BI, reporting, and automation. Build Power BI dashboards, automate data acquisition with Microsoft Power Platform, integrate solutions with VA systems, analyze healthcare/financial data, and produce executive reporting, documentation, and training to support decision-making and performance improvement.

Design, build, and maintain interactive dashboards and visual products that translate complex operational and cybersecurity data into clear insights. Collect requirements, create mockups, automate analytics, and produce metrics for patching, vulnerability, and compliance to support executive and operational decision-making.

Lead business analysis for strategic initiatives, driving data-driven decisions, solution design, and cross-functional partnerships. Mentor teams, develop analysis approaches, research process improvements, and ensure solutions meet business objectives within a hybrid, limited-tenure role.

Analyze C&DS project data to produce actionable insights. Build data pipelines, reports, visualizations and predictive/prescriptive models. Collaborate with IT, data governance, and business stakeholders to enable data-driven decision-making, support reporting needs, and ensure data quality and access.

Lead master data governance for product/material domains across Agile PLM and SAP S/4HANA/SAP MDG. Define governance, document requirements and processes, support MDG design and integrations, drive data migration/cleansing, perform impact analysis, and champion data quality across supply chain, manufacturing, and IT stakeholders.

The Data Quality Analyst will validate data accuracy, develop automated testing frameworks, analyze discrepancies, and collaborate on data governance with stakeholders.

The Senior Analyst, Growth Analytics will develop CRM analytics strategy, optimize customer retention, drive lifetime value, analyze experiments, and provide insights to enhance decision-making and business impact at CookUnity.

Maintain data dictionary and lineage; design logical and physical data models; map attributes to source documents; validate data quality; support data governance and compliance; collaborate with BI and analysts to enable reporting and Tableau dashboards.

Serve as product-owner/business analyst for actuarial data and tools within the Global Data Office. Translate actuarial requirements into data engineering specs, lead Agile ceremonies, manage product backlog and roadmaps, align stakeholders, and ensure data governance, lineage, testing, and quality for actuarial reporting, reserving, and pricing use cases.

The Data Quality Analyst audits and standardizes data from various internal sources to ensure accuracy. Responsibilities include developing reports, building data pipelines, and collaborating with teams to manage data integrity.

The Senior Analyst will contribute to data enablement, enhance data access, develop strategic data sets, and support analytics solutions while collaborating with stakeholders to improve overall data management and governance.

Lead data governance activities including profiling, metadata population, data quality remediation, and standards enforcement. Work cross-functionally to implement Informatica-based cataloging and protection, automate data protection, deliver training, and recommend improvements to data quality, standardization, and transformation.

Lead day-to-day management of multi-year data projects (Neighborhood Vitality Index, Hope Starts Here). Conduct quantitative and qualitative analysis, design and analyze surveys, coordinate with external partners and internal teams, perform stakeholder outreach and engagement, and produce accessible data products and communications for non-technical audiences to inform decision-making across Detroit-area organizations.

Own end-to-end analysis of payments, chargebacks, and user lifecycle to identify drivers of net loss. Deep-dive into fraud cases, design and evaluate A/B experiments and risk-rule changes, build monitoring dashboards, partner with Risk, Payments, and Product to convert insights into mitigations, and run ad-hoc analyses of emerging loss trends.

Support OneStream implementation by defining, validating, testing, and stabilizing data flows and interfaces. Perform source-to-target validation, 3-way reconciliation, troubleshoot load failures, support SIT/UAT and cutover, maintain interface documentation, and assist post-go-live stabilization for ERP feeds, GTAS, Advana, and other integrations.

Lead end-to-end analytics work: define core metrics, build reliable data models and pipelines, deliver dashboards and insights, and partner cross-functionally to drive product and business decisions. Mentor stakeholders, document data, and help scale analytics capabilities on an event-driven platform.

Maintain data quality and build automated reports using Microsoft SQL tools, SSRS, and SSIS. Support client implementations, test data exchanges, streamline processes, and produce clear technical/user documentation while responding to internal and client requests.

Support data and process synchronization across Salesforce, CDH, OPH, ETM, C2O, and Mulesoft. Perform data mapping, integrity/quality audits, SQL/SOQL data comparisons, data testing, and governance. Manage cross-functional projects using Agile and JIRA, coordinate data loads, document processes, and report gaps to stakeholders.

Responsible for troubleshooting escalated data issues, resolving data discrepancies, monitoring ETL jobs, performing data engineering and development work (20-25% time), automating operational tasks, building tabular models and reports, and documenting knowledge for Tier 1/2 support. Must support production issues outside normal hours.