Top Hybrid Data Analysis Jobs

Analyzes large datasets and develops dashboards, data pipelines, databases, and decision-support solutions for F-22 sustainment. Responsibilities include supply spares and repair recommendations, fleet performance projections, root-cause investigations, KPI monitoring, data governance, automation, and customer-level technical coordination. The role supports readiness-based sparing systems and continuous improvement across logistics and maintenance operations.

Collect, process, and analyze large datasets using statistical methods to answer business questions. Develop dashboards, narratives, KPIs, and actionable insights; maintain data processes and analytics capabilities; ensure data quality; resolve data issues; and translate business problems into functional and technical requirements. Coordinate key tasks and resources to meet cost and schedule objectives while collaborating across departments.

Leads enterprise data analytics, reporting, business intelligence, dashboards, data quality, and data governance supporting Texas child welfare services. Oversees data strategy, advanced analysis, system integration, documentation, and actionable insights for leaders, staff, funders, and policymakers. Supervises analytics personnel, manages priorities and budgets, promotes ethical data stewardship, and ensures compliance with child welfare regulations. Requires collaboration with operational leaders and translation of complex data into service improvement and outcome-focused decisions.

Analyze customer behavior, segmentation, clickstream data, attribution, and marketing campaign performance. Design A/B tests, apply statistical modeling using SQL, Python, and SAS, and develop automated Tableau dashboards and reporting. Provide actionable insights to improve customer acquisition, retention, engagement, and marketing ROI.

Analyze personal loan product performance, customer behavior, funnel conversion, campaigns, and key performance metrics. Design measurement frameworks, identify tracking gaps, conduct root cause analysis, develop A/B tests, support analytics infrastructure, and create dashboards. Partner with Product, Engineering, Data Science, and Business teams to translate insights into product improvements and increased origination volume.

Analyzes credit, liquidity, trade, and reference data to identify trends, data issues, and risk insights. Collaborates with technology teams on remediation solutions, manages data concerns in DCRM, supports regulatory reporting, and recommends policy and process improvements. The role communicates findings to senior stakeholders, influences cross-functional partners, supports decision strategies, and coaches junior team members while ensuring data quality and compliance.

Analyzes complex business data to identify trends, develop models, dashboards, and actionable insights. Collaborates with leaders and cross-functional teams, supports data governance, validates data integrity, applies statistical and predictive techniques, and communicates findings to technical and non-technical audiences. Provides mentorship to junior analysts and may lead projects. Occasional business travel may be required.

Develops data and investment applications for a cloud-based analytics platform. Translates business requirements into technical solutions, prototypes, integrations, tests, reports, and system designs. Onboards and validates structured and unstructured datasets, investigates data exceptions, and collaborates with investment teams, engineers, vendors, QA, and IT. Creates project documentation and supports automated testing using SQL and Python, with a focus on private-market investment decision-making.

Maintains automotive catalog data quality by loading, validating, transforming, and publishing parts, vehicle, labor, tire, and interchange information. Uses Excel, SQL, XML feeds, relational databases, scripting, and catalog systems to identify and resolve defects. Collaborates with product, development, customer support, and data teams, responds to customer queries, maintains data standards, and supports continuous improvement with limited supervision.

Analyze business performance and develop data-driven insights for the U.S. Small and Medium Enterprise business line. Use Python, SQL, data mining, and statistical modeling to define success metrics, track KPIs, identify growth opportunities, and optimize processes. Lead cross-functional projects from conception through rollout while partnering with Sales, Marketing, Product, Finance, and governance teams. Communicate findings, drive alignment, and support strategic and day-to-day business decisions.

Analyze financial services and consumer datasets using statistical methods, quantitative models, and SQL to generate investment insights. Serve as a client-facing subject matter expert, support data trials, explain data methodologies, develop research materials, and collaborate with Product, Data Science, Technology, Commercial, and Client Success teams to improve data products and client adoption.

Analyze financial-crime data to detect unusual activity, validate results, and support reporting and investigations. Develop Tableau dashboards and SQL reports, resolve data-quality and system issues, automate manual processes, document business rules, and translate business requirements into technical solutions. Collaborate with management, business users, technical teams, database administrators, and vendors while providing responsive analytical support.