Top Data Analyst Jobs

Analyzes, cleans, mines, and validates large datasets to support business decisions and process improvements. Develops SQL-based data solutions, dashboards, reports, data visualizations, and testing workflows. Troubleshoots data issues, monitors business controls, documents changes, and communicates findings to stakeholders. Supports projects, ad hoc analysis, compliance processes, and dashboard maintenance using SQL Server and tools such as Power BI, Tableau, or Qlik.

Analyze healthcare and clinical operations data to deliver actionable customer insights, physician performance reporting, care-quality dashboards, and scalable BI solutions. The role requires SQL-based data transformation, dashboard development, collaboration with clinical, product, engineering, and client-facing teams, and clear communication of findings. The analyst will also use AI tools for query generation, data cleaning, pattern recognition, and analytical summaries.

Leads analytical support for retail leadership by translating business questions into requirements, delivering recurring and ad hoc performance analysis, and creating executive-ready narratives and recommendations. Partners with BI, data engineering, and business teams to ensure governed, accurate reporting. Identifies opportunities to scale recurring requests into dashboards and self-service assets, maintains data quality knowledge, and mentors analysts in analytical methods, storytelling, stakeholder communication, and quality assurance.

Analyze medical claims (inpatient, outpatient, SNF, rehab, professional, DME) to identify utilization and root causes. Pull/integrate data, perform QA, present findings, maintain attribution methodology, coordinate stakeholders, and develop tools. Primary coding: Hive, SQL, Python.

Own the measurement framework for a marketplace product, including KPIs, dashboards, instrumentation, reporting, experimentation, statistical modeling, forecasting, and opportunity sizing. Analyze product engagement, conversion funnels, feature performance, and NPS drivers. Partner with Product, Marketing, Sales, and data teams to deliver actionable insights, improve analytics capabilities, and influence commercial and product decisions.

Develops scalable data models, dashboards, reports, and analytical solutions that support business decisions. Partners with stakeholders to translate requirements, ensures data accuracy and usability, provides technical guidance to end users, documents architectures and processes, and communicates findings to technical and non-technical audiences. The role requires advanced Spotfire, SQL, and business intelligence experience, plus familiarity with modern data platforms and AI-assisted development tools.

Own regulatory analytics and reporting by building audit-ready datasets, dashboards, data models, pipelines, governance controls, and compliance automations. Analyze complex financial and compliance data, support audits and risk assessments, monitor data quality, and translate regulatory requirements into reliable reporting solutions using Python, SQL, dbt, and Airflow. Partner with engineering, analysts, compliance teams, and leadership to deliver actionable insights and improve regulatory processes.

Provides data analysis and reporting support for the health vertical. Responsibilities include creating visualizations, automating reports and audits, analyzing web, email, and app engagement data, conducting retention and A/B testing analyses, supporting time-sensitive business requests, and developing expertise in assigned business areas. The role also evaluates how AI can improve analytical workflows and requires collaboration across project teams.

Analyze complex data to solve business problems through innovation, business intelligence, and data management. Build self-service data solutions, dashboards, metrics, and visualization tools; deliver strategic insights; and manage data quality, metadata, lineage, security, access governance, and monitoring. Collaborate with business and technology teams while using scripting languages, data platforms, and AWS services.

Analyzes financial data and systems, develops SQL queries and stored procedures, supports system implementations and workflows, creates actionable reporting, evaluates process improvements, and communicates financial and operational impacts. The role partners with business and technology teams to refine requirements, troubleshoot systems, recommend changes using analytics, and improve solutions involving SQL, SSIS, Databricks, and Python.

Analyzes large datasets from multiple sources, creates and validates recurring reports, monitors process performance and customer satisfaction, and identifies improvements to data collection. The role requires SQL and Python proficiency, data visualization experience with Power BI or Tableau, familiarity with ETL processes, strong analytical skills, attention to detail, and effective communication. It supports healthcare value-based care initiatives and reports to the Manager of Data Analytics.

Analyzes sales commission data, validates calculations and payouts, investigates discrepancies, prepares reports and dashboards, supports commission accruals and accounting entries, maintains commission systems and controls, and develops automated reporting solutions. Partners with Sales Operations, Finance, Payroll, and HR to improve commission accuracy, compliance, efficiency, and compensation-plan effectiveness.

Analyzes sales commission data, reconciles transactions, investigates discrepancies, prepares reports and dashboards, supports accruals and accounting entries, maintains commission systems and controls, and improves reporting automation and compensation plan processes.

Develop and maintain Power BI dashboards, data visualizations, analytics solutions, and reporting tools for DHS clients. Lead data cleaning and transformation using Python, support data-driven decision-making, gather requirements, present technical findings to nontechnical audiences, and contribute to business development, proposals, internal initiatives, and professional development.

Develops and maintains Power BI dashboards, data visualizations, analytics solutions, and reporting tools for DHS decision-making. Leads data-cleaning scripts using R, supports ad hoc analytical requests, gathers requirements, presents technical findings to clients, and contributes to business development and internal initiatives. The role also involves data integration, UI/UX for dashboards, and client-focused consulting.

Supports Mission Partner Affiliation Sponsor activities through database development and maintenance, stakeholder coordination, data validation, recurring and ad hoc reporting, research, process evaluation, documentation, training, and day-to-day operational support. The role requires knowledge of HSPD-12 and credentialing and access management processes, independent functional work, and the ability to obtain required federal suitability or security determinations.

Analyzes fraud alerts, suspicious activity, and large datasets for banking, financial services, and e-commerce clients. Builds and optimizes fraud detection rules, models, workflows, dashboards, and reports; performs root cause analysis; researches emerging fraud and cybersecurity risks; and provides data-driven recommendations. Acts as a trusted client-facing consultant supporting ThreatMetrix and other fraud and identity solutions, balancing fraud mitigation, operational efficiency, and customer experience.

Supports enterprise data migration initiatives across ERP and system modernization programs. Responsibilities include source-data analysis, cleansing, mapping, transformation, reconciliation, testing, migration execution, defect resolution, reporting, and stakeholder coordination. The role partners with business, technical, and consulting teams to ensure data quality, compliance, and operational readiness throughout mock loads, cutovers, and production deployments.

Build and maintain data pipelines from manufacturing and business systems into reporting datasets. Manage data lineage, quality, validation, reconciliation, governance, and SOX-compliant controls. Partner with IT, Finance, Operations, Supply Chain, and other teams to resolve data issues and define business metrics. Use Python, pandas, SQL, Git, and Jira to deliver reliable business intelligence solutions and support dashboards and reports.

Build and maintain data pipelines from ERP, manufacturing, supply chain, finance, and other systems into reporting datasets. Document data lineage, perform validation and reconciliation, maintain SOX-compliant processes, and resolve data quality issues. Collaborate with IT and business teams to define metrics and deliver reliable reporting solutions using Python, pandas, SQL, Git, and Jira.

Analyzes, cleanses, maps, transforms, reconciles, and validates data throughout enterprise migration projects. Supports ERP implementations, mock loads, testing, cutover planning, production deployments, and troubleshooting. Develops data-quality metrics, mapping specifications, reconciliation reports, and business controls while collaborating with stakeholders, consultants, developers, and project managers. Communicates risks and recommends improvements to data governance and migration procedures.

Leads Data Analyst Assistants and supports assessment, evaluation, and research projects. Responsibilities include data collection, cleansing, transformation, modeling, analysis, dashboard development, visualization, stakeholder coordination, workflow improvement, and analytical tool training. The role provides project guidance, ensures timely deliverables, safeguards sensitive data, and communicates insights through compelling data storytelling.

Analyze data quality, lineage, controls, and regulatory reporting processes; develop machine learning and predictive models; build automated data pipelines and workflows; create Tableau dashboards; apply data governance and validation practices; support audits and regulatory examinations; optimize databases and queries; and conduct end-to-end testing, UAT coordination, documentation, and deployment readiness activities.

Analyze contributor performance, dataset quality, production efficiency, and client delivery metrics. Build dashboards and reports, conduct cohort and trend analysis, monitor quality benchmarks, identify data integrity issues, and translate findings into actionable recommendations. Collaborate with Data Operations, Engineering, Product, and Quality Assurance teams to define metrics and evaluate improvements.

Lead BI developer owning end-to-end reporting for marketing verticals. Build and standardize dashboards, model complex/third-party data (LookML), partner with Yield, Paid Media, and Account Management to deliver actionable analyses that optimize campaign performance, conversion, and revenue.