Top Data Analyst Jobs

The Senior Data Manager/Analyst supports data analysis and project designs for foreign assistance programs, ensuring data quality and developing reporting products.

Own and deliver high-impact retail data products by designing and running QA, investigating and resolving complex data quality issues, improving classification and attribution, collaborating with Insights and Engineering to automate and streamline pipelines, and communicating methodology and limitations to clients and stakeholders.

Lead core business analytics: build and maintain KPI dashboards, run statistical analyses and A/B tests, identify drivers of retention and revenue, support forecasting, partner with Product/Engineering to improve data quality, and use AI/scripting to automate analytics and surface insights for leadership.

Research, evaluate, and manage partnerships with data providers. Assess datasets for coverage and interoperability, support deal structuring, maintain partnership pipeline, and collaborate with product, engineering, and legal to integrate data into the platform.

Design, develop, QA, and maintain BI dashboards using Qlik to transform structured and unstructured data into actionable visualizations. Partner with clients to explore, clean, analyze data, build user-centric UI elements, and communicate insights to technical and non-technical stakeholders.

Support implementation and execution of enterprise data governance: identify critical data elements, assess data quality and controls, develop remediation and policy changes, partner with data stewards and cybersecurity, build metrics and reports, and lead small-to-medium projects and discovery sessions.

Design, program, and maintain research databases; clean and manipulate datasets using SAS or R; collaborate on REDCap design; prepare data sharing plans and datasets for repositories; generate queries, reports, interim analyses, and visualizations; manage Office of Research study databases and support investigators and biostatisticians.

Lead analytics for product or business domains by transforming data into actionable insights. Define and track KPIs, build dashboards and reports, perform EDA, cohort/funnel and A/B test analysis, validate data quality, partner with Product and Engineering, use AI tools to accelerate analysis, mentor junior analysts, and manage end-to-end analytical projects.

Lead analytics and operational insights for Customer Operations: define core metrics, build dashboards and forecasts, model churn/renewal risk, enable self-serve reporting, implement AI-enabled automation, and partner cross-functionally to drive retention, expansion, and support efficiency.

Design and deliver Power BI, SAC, and Tableau dashboards and reports; analyze structured, semi-structured and unstructured data; build models and experiments to uncover insights; translate business needs into actionable visualizations; collaborate with IT, vendors, and commercial teams to scale reporting.

Provide senior operational support for index, fund, product, and account reference data. Ensure data accuracy and timely delivery, lead data quality controls, resolve complex issues, drive process improvements and automation, support onboarding and business continuity, manage vendor and IT interactions, and lead data-related projects and documentation.

Develop and maintain dashboards, reports, and visualizations; analyze business processes and performance metrics; gather stakeholder requirements; support data pipelines and ETL/ELT; validate data quality; contribute to cloud-based analytics modernization; document methods and present findings to technical and non-technical audiences.

Perform healthcare data research, analysis, and reporting focused on Epic Tapestry and managed care measures (HEDIS, P4P, HCC/RAF, PMPM). Develop BI reports/dashboards, present insights to stakeholders, handle ad hoc requests, and obtain required Epic and data-model certifications.

The Senior Data Analyst will develop SQL queries, build ETL processes, design data models, and support BI tools for data-driven decision-making within the organization.

Build automated enterprise reporting across clinical, operations, claims, and risk adjustment; answer ad-hoc SQL questions; design ETL and data marts with engineering; ensure data quality and documentation; develop clinical business logic and regulatory/PACE reports; mentor analysts and set reporting standards.

The Senior Data Analyst collaborates with stakeholders to define KPIs, leads solution delivery, designs data models, and mentors junior members.

As a Senior Data Analyst at ShopMy, you'll improve data foundation, design data models, conduct analyses, and partner with Product and Engineering to ensure data integrity and performance.

The role involves delivering analytical projects in consumer credit, building machine learning models, and collaborating with clients to implement data-driven strategies.

The Data Insights Analyst II analyzes complex data sets to provide insights for strategic decisions, collaborates with teams for performance optimization, and communicates findings using visualization tools.

Lead supply chain data quality and automation efforts: define and enforce data governance, detect and remediate discrepancies, build dashboards and KPIs, and develop automated workflows (RPA, Python, SQL, ETL) to improve master data accuracy and operational efficiency while partnering cross-functionally.

Act as a technical liaison to ensure data quality and execution of marketing campaigns: validate and map client data to standard structures, extract and process customized datasets, design ad-hoc routines, manage project deliverables and timelines, document processes, and troubleshoot implementation issues while communicating with clients and internal teams.

Lead integration and data analysis efforts to connect authoritative sources to Axonius and ServiceNow CMDB. Develop 13 integrations, map and validate schemas, analyze and reconcile data discrepancies, and produce deliverables (test plans, ICDs, data management, architecture, training, security assessments). Train points-of-contact and support CMDB/security data management.

The Data Entry Analyst will manage data within the SAP system, ensuring accuracy and confidentiality, while coordinating with stakeholders and providing reports.

Forecast, allocate, and optimize operations headcount through financial and probabilistic models, dashboards, and data analysis. Partner with Operations, Recruiting, and Finance to align staffing, vendor strategy, and budgets, monitor workforce KPIs, automate reporting, and present strategic recommendations to senior leaders.

Analyze and document complex data structures across legacy and modern systems, produce enterprise master data mappings, data lineage, and transformation rules, collaborate with stakeholders to resolve discrepancies, support data governance and modernization, and ensure DoD/CUI compliance while acting as a subject matter expert.