Top Hybrid Data Analysis Jobs

Analyze, clean, validate, and reconcile data to produce dashboards, reports, metrics, SQL queries, analytical datasets, and business insights. Partner with stakeholders to define requirements, investigate trends and anomalies, validate data models and workflows, improve data quality, and establish scalable analytics standards and documentation.

Leads marketing and loyalty analytics strategy, measurement frameworks, forecasting, experimentation, campaign reporting, retention analysis, churn modeling, segmentation, and LTV analysis. Partners with Marketing and Finance to connect performance metrics to business goals, automate reporting, and deliver actionable recommendations. Requires strong SQL and Python skills, causal measurement expertise, marketing platform experience, and the ability to communicate insights to senior stakeholders.

Leads a centralized contact center analytics function, managing analysts, prioritizing analytical requests, and setting operating standards. Performs complex analyses and executive insight reporting while building repeatable frameworks, automation, and responsible AI-assisted workflows. Partners with reporting and technology teams on data access and tools including MicroStrategy, Genesys, CallMiner, and Snowflake. Ensures analyses account for TCPA, FCRA, and FDCPA requirements while supporting strategic initiatives across customer service, lending, collections, complaints, workforce management, and related operations.

Develop and optimize advanced SQL transformations, stored procedures, ETL workflows, and data-quality processes for large Medicaid claims and health-related social needs datasets. Build reproducible, documented data pipelines; calculate healthcare quality, equity, and disparity metrics; conduct code reviews; and collaborate with stakeholders to turn complex data into visualizations and policy insights.

Conduct quantitative research for algorithmic trading and market-making strategies. Design, test, deploy, and monitor models supporting pricing, risk, and execution. Build research and backtesting tools, analyze large datasets and model outputs, and collaborate with traders, developers, and senior researchers to translate hypotheses into production trading decisions. Continuously improve strategies based on market dynamics, data drift, and performance results.

Leads product analytics and partners with product and executive leadership to guide strategy, roadmap prioritization, experimentation, and optimization. Translates customer and business questions into measurable outcomes, analytical roadmaps, segmentation, funnel and cohort analyses, and evidence-based recommendations. Owns product measurement frameworks, dashboards, data quality, instrumentation, and governance while communicating insights, trade-offs, and actions to senior stakeholders.

Develop data models, analyses, dashboards, and automated reporting for a collectibles marketplace. Partner with engineering, product, and data platform teams to define business metrics, identify customer experience and growth opportunities, inform strategy, and lead initiatives that improve business performance.

Lead consumer lending analytics and strategy across credit card, HELOC, and Auto/RV products. Evaluate portfolio performance, member behavior, pricing, targeting, risk, profitability, and growth opportunities. Develop strategic recommendations, forecasts, business cases, and analytical frameworks using SQL and large datasets. Partner with finance, credit risk, marketing, operations, and technology leaders while managing, coaching, and developing an analytics team.

Leads complex quantitative and qualitative analysis for Claims Leadership, producing forecasts, reports, dashboards, KPI frameworks, and actionable recommendations. Analyzes multiple data sources, identifies trends and root causes, supports strategic decisions, documents processes, and consults with cross-functional partners. Coaches peers on analytical methods and applies statistical research, visualization, and data storytelling techniques to improve business outcomes.

Supports pricing analytics initiatives through data extraction, reporting, dashboard development, trend analysis, KPI tracking, and recommendations. Partners with business teams across revenue, sales, marketing, digital, and customer organizations; contributes to multi-year pricing offers, recurring performance reviews, quarterly business reviews, and testing of pricing initiatives. Uses BI and data tools to synthesize insights and support revenue management decisions.