Top Data Analyst Jobs

The Lead Data Analyst will analyze user journeys, recommend product changes, develop dashboards, and drive strategic initiatives through data analysis and experimentation frameworks.

Provide reporting and real-time analytics for a 24x7 Tier II Service Desk. Write T-SQL against Microsoft/warehouse databases, build SSRS reports, validate results, and partner with leadership on ad-hoc and scheduled reporting. Onsite in Columbia, SC, and must be eligible for Secret clearance.

As a Data Analyst, you'll drive data insights for product development at Grow Therapy, supporting reporting and experimentation projects.

Design, build, and maintain data solutions to support enterprise risk. Partner with business to produce dashboards and analyses, drive data quality, metadata and lineage practices, manage data access governance, and use open-source tools and cloud services to enable self-service analytics.

Lead validation of enterprise-wide analytical tools for risk management: plan and execute validation projects, assess methodology quality and tool risk, prototype best practices, communicate findings, and coach junior staff.

Lead data analytics for network and merchant compliance: design tests, build models and reporting, mine large datasets, improve data quality and processes, advise stakeholders on risk, and manage a team to implement compliance analytics solutions.

Design and maintain core SMB Payments metrics and dashboards, perform deep-dive analyses to surface trends and drivers, build scalable datasets and self-service analytics, and apply LLM/AI techniques to augment analytics while ensuring secure, auditable production solutions.

Maintain and automate marketing performance reporting, build actionable Power BI dashboards, query and integrate data from ad platforms and CRMs, detect anomalies, and provide insights on CTR, CVR, ROAS, attribution, and testing to support paid media and SEO teams.

Run and analyze product experiments, define product metrics and telemetry for web and mobile, build funnel/retention/cohort analyses using SQL and Python on Snowflake, maintain Omni dashboards, create AI-agent workflows to automate routine analysis, and translate findings into clear product recommendations alongside PMs, designers, and engineers.

Work with large game datasets to measure and improve VIP engagement, campaign effectiveness, and player support. Build data models, dashboards, and analyses; collaborate with game analysts, product teams, and stakeholders to provide insights and ad-hoc reporting to optimize player outreach and satisfaction.

Partner with client-facing teams to deliver and automate high-quality, scalable client reports and custom analyses using Snowflake/SQL and modern data tooling. Improve report accuracy, documentation, visualizations, and drive insights for strategic decisions.

Build and govern KPIs and dashboards, partner with stakeholders on measurement, develop scalable data pipelines, run deep-dive analyses, close reporting gaps, and promote best practices in visualization and metric consistency.

As a Principal Data Analyst, you'll innovate, build and maintain data solutions using scripting languages and cloud services to tackle business problems, providing insights and managing data quality.

Provide reporting and real-time analytics for a 24x7 Tier II service desk. Design, validate, and deliver ad hoc and scheduled reports using SQL/SSRS, working with leadership. Onsite role in Columbia, SC supporting government customer.

The Jr. Business Data Analyst will communicate with clients, analyze performance data, manage PPC campaigns, and develop SEO strategies.

Translate business needs into functional requirements; analyze and validate data; design and deliver scalable data warehouses, marts, and lakes; collaborate with architecture, engineering, governance, and business teams; lead solution design and estimations; provide people leadership and coach talent; support global/onshore-offshore delivery and ensure data quality, documentation, and enterprise standards.

The Senior Data Analyst oversees performance reporting tools, automates data pipelines, conducts quantitative analyses, and communicates findings to various stakeholders.

The Senior Data Analyst will own data models and drive analytical initiatives, ensuring data quality and reliability while providing insights to stakeholders. Responsibilities include managing dashboards and supporting the team with analytics.

The Senior Data Analyst will innovate and manage data solutions, provide business intelligence, and ensure data quality management while collaborating with various teams.

Perform complex analyses of large healthcare claims datasets to support Payment Integrity operations. Design, validate, and maintain production queries, reports, dashboards, and KPI frameworks. Lead root-cause analysis, data validation, and forecasting. Partner with business and technical stakeholders to translate requirements, monitor data quality and algorithm performance, and deliver actionable recommendations to improve operational outcomes and compliance.

Design, build, and maintain data solutions to support card business decisions. Mine diverse data sources, develop analytics, dashboards, and data-quality tooling. Partner with business stakeholders, enforce data governance, and collaborate with tech teams on security and access.

Support product managers and tech leads by defining backtesting and validation plans, performing data analysis and validation for client deployments, improving data flows and operations, and conducting financial securities research and modeling (regression, simulations, portfolio risk analytics).

Lead analytics for Business Cards & Payments field strategy by building data solutions, dashboards, and data-quality tooling. Partner with business stakeholders to deliver insights, manage data governance, and implement self-service analytics using scripting, BI tools, and cloud services.

Support asset-level data intake, validation, and exception triage for private markets. Ensure data quality and standardization, perform trend analysis to inform product and process improvements, coordinate onshore/offshore delivery, document operational logic, and collaborate with Product, Data, and Engineering teams to improve workflows and client reporting.

Lead Avail analytics by building KPI frameworks, automated dashboards, and end-to-end analyses. Partner with stakeholders to define needs, source data, perform ETL/EDA, generate insights, and inform strategy across product, marketing, operations, and finance.