Top Data & Analytics Jobs

Lead analytics to improve player experience, engagement, retention, and monetization. Analyze player lifecycle, run cohort and funnel analyses, design and evaluate A/B tests, build dashboards, define product metrics, investigate KPI changes, and partner with product, marketing, engineering, and data teams to deliver data-driven recommendations and improve data quality.

Support and maintain the Zoho CRM ecosystem, streamline CRM workflows, assist in scrum meetings, process lead data, support feature rollouts and integrations, and maintain dashboards and reports for sales and operations.

Work with large, complex retail datasets to create and improve analytics dashboards and visualizations. Clean and mine data, apply statistical techniques to derive actionable insights, organize/catalog data streams, and communicate findings to non-technical decision-makers. Support multiple departments and manage analytics projects to improve retailer operations.

Lead design and implementation of a scalable enterprise data warehouse: dimensional modeling, ETL/ELT pipelines, cloud data platforms, data governance, performance tuning, monitoring, and mentoring. Collaborate with stakeholders and engineering teams to enable analytics, ensure data quality and security, and support data science/ML workloads including feature engineering and NLP components.

Design and implement data pipelines, APIs, and automated workflows to turn structured and unstructured data into actionable insights. Create dashboards, reports, KPIs, and visualizations; validate and cleanse data; troubleshoot integrations and applications; support Agile delivery; and evaluate AI/LLM-assisted workflows to improve federal customer decision intelligence.

Serve as the Airtable functional expert and administrator: gather requirements, design and build Airtable bases/interfaces/automations, integrate via APIs/middleware, ensure data integrity and reporting, provide user support and training, and support project delivery and UAT.

The Reserves Analyst will manage databases, conduct reserves analysis, generate reports, and support cross-department collaboration in the oil and gas sector.

The Power BI Developer will build enterprise data models, develop and publish reports and dashboards, assist users with data requirements, and work on Azure technologies to support government initiatives.

Design and analyze experiments and surveys, develop sampling and analytic methods, interpret quantitative results, advise clients on policy/strategy, use AI tools to augment analysis, and provide quality assurance for junior staff.

The Data Scientist/Manager will analyze data, develop models, support organizational missions, and provide insights to enhance decision-making for the USDA.