Top Data Analyst Jobs

The Marketing Data Quality Analyst ensures marketing data accuracy and reliability by developing data quality standards, policies, and managing data governance projects, collaborating with marketing, sales, and IT teams to enhance data integrity for effective campaign execution.

Lead analytics efforts by building dashboards, automations, and AI/ML models; manage data workflows; translate business needs into analytical solutions; communicate insights and mentor junior analysts.

Serve as primary client liaison for client data contribution, quality, and remediation projects. Lead project discovery, scope, testing, implementation, validation and certification. Mentor analysts, perform data quality analysis, troubleshoot feeds, recommend remediations and process improvements, and coordinate with stakeholders to ensure compliant, high-quality client data contributions.

Lead end-to-end analytics projects, design scalable dashboards and measurement frameworks, perform deep-dive analyses and A/B test evaluation, mentor junior analysts, collaborate with engineers, and present insights to stakeholders to drive data-informed decisions.

Support implementation of Bluesight SaaS by extracting, transforming, loading, and validating customer data. Configure infrastructure, write and debug scripts, communicate findings to customers, document processes, and collaborate with product and engineering to improve pipelines and resolve technical issues.

Support Workers' Compensation statistical reporting by aggregating and validating bureau/state data calls, testing and remediating data quality issues, creating and enhancing validation logic, querying databases (Snowflake/SQL), and partnering with IT and stakeholders to improve data management and reporting processes.

Design, build, and maintain scalable, tested data models and transformation pipelines (dbt, Snowflake). Partner with Data Science, Product, and Engineering to codify business logic, enable downstream BI (Hex), enforce Git-based workflows, automated tests, and CI/CD, and drive data quality and observability for clinical and financial analytics.

The Senior Data Analyst delivers metrics and dashboards, collaborates with stakeholders, documents processes, and assists in defining requirements and special projects.

The Senior Data Analyst leads complex projects, analyzes data for decision-making, mentors juniors, and enhances Business Intelligence solutions.

Partner with Marketing, Growth, and CX to design experiments, analyze behavioral and transactional data, map customer journeys, build forecasts, create CX metrics, oversee data pipelines for launches, and translate qualitative feedback into actionable insights to drive acquisition, retention, and lifetime value.

The role involves developing reports and insights for B2B analytics, managing data architecture, and collaborating across teams to enhance health engagement and outcomes.

The Senior Data Analyst will produce reports, insights, and analytics to support strategic decisions, collaborating with teams and clients. They need to ensure data accuracy, manage deliverables efficiently, and communicate findings clearly.

The Data Quality Analyst ensures the accuracy of option price data and collaborates with analysts to enhance model integrity through validation frameworks and statistical analysis.

This role involves compiling quarterly performance reports, supporting RFPs, data analysis, collaborating with stakeholders, and improving reporting processes.

The Data Integrity Analyst will perform data entry, review controls, reconcile data, coordinate with providers, and support process improvements.

The Data Quality Lead Analyst ensures Data Exceptions are identified and reported, improves data quality, and collaborates with stakeholders on data challenges. Responsibilities include driving Data Quality measurement and managing compliance with standards.

The Senior Data Analyst will analyze complex data sets, present recommendations to leadership, lead experimentation, and collaborate with various teams to influence product direction and improve user experience.

Design, implement, and maintain data governance policies, data quality standards, metadata management, and access controls. Promote stewardship, create data dictionaries and catalogs, track governance KPIs, and coordinate with IT, legal, and business stakeholders to resolve data issues and ensure appropriate data use and protection.

Source, validate, reconcile, and enrich sales and asset data from external providers; maintain data quality controls; investigate discrepancies; produce recurring and ad hoc reports; integrate new data sources; document processes; support reallocations and governance; identify automation opportunities and serve as a subject-matter contact across Sales, Finance, Product, and Distribution.

Work with IT and business partners to document processes, define requirements, support SDLC, create UAT scripts and training, troubleshoot Tier 1/2 data/app issues, perform data quality analysis, and manage system operations and change controls.

Partner with stakeholders to analyze process changes, identify segmentation and process improvement opportunities, and present strategy, impact analyses and test results. Perform root-cause and trend analysis, contribute to predictive modeling and analytics, maintain policy/change documentation, act as SME for strategy areas, and drive resolution and change with cross-functional partners and leadership.

The Sr Data Analyst will analyze customer data to provide insights, visualize metrics, and collaborate with teams to optimize strategies. Responsibilities include maintaining analytic tools, conducting ad hoc analyses, and identifying data anomalies.

The role involves investigating streaming fraud, monitoring data for suspicious behavior, developing anti-fraud strategies, and collaborating across teams for documentation and reporting.

The Sr. Data Governance Analyst supports data governance execution, ensuring data quality, compliance, and metadata management across various data domains. Responsibilities include defining data quality rules, resolving issues, and enabling user adoption of governance practices.

The Sr. Data Quality Analyst will focus on data testing, analysis, and SQL skills, with expertise in Informatica and collaborative problem-solving.