Top Data & Analytics Jobs

Develop dashboards, reports, data models, metrics, and visualizations while analyzing business data. Build and maintain Python software, APIs, integrations, data pipelines, and workflow automations. Partner with business users to translate requirements into technical solutions, support testing and deployment, troubleshoot issues, document processes, and explore AI and advanced analytics opportunities.

Conducts proactive and responsive prospect research to evaluate donor capacity, affinity, and engagement. Develops research profiles, due diligence reports, briefings, prospect lists, and analytical materials supporting fundraising and stewardship. Maintains prospect records, analyzes wealth screening and institutional data, monitors relevant developments, and advises development staff on portfolio management and cultivation strategies. Also supports research tools, documentation, training, and process improvements while handling confidential information.

Summer technology intern supporting data analytics solutions, including SQL and Python data extraction, transformation, pipelines, reports, and Tableau dashboards in Snowflake. The role applies AI/ML, predictive analytics, natural language querying, and GenAI-assisted analysis to business decision-making. Interns collaborate in Agile teams, refine development backlogs, learn emerging technologies, and build cross-functional relationships.

Supports DIRECTV FOR BUSINESS through KPI analytics, financial analysis, customer segmentation, and process improvement initiatives. The intern analyzes performance drivers, commitments, projects, and customer experience impacts; synthesizes insights into data stories; documents processes; and presents findings to leaders. The role involves cross-functional virtual collaboration and requires proficiency in Excel, PowerPoint, Python, SQL, Power BI, and data visualization.

Own risk analytics initiatives that improve repayment rates, optimize collections costs, monitor trends and emerging risks, and evaluate external agency performance. Partner with stakeholders and vendors to develop actionable insights, support strategic decisions, and apply AI tools to automate reporting and improve collections outcomes. The role requires advanced SQL and experience in credit risk, fraud risk, collections, or related lending analytics.

Analyze gaming performance across game types, venues, states, devices, days, and player demographics. Produce quarterly reports, identify gameplay and player-behavior trends, and recommend data-driven improvements to product strategy, engagement, and revenue. Partner with account teams, visualize findings in Tableau and Power BI, and present actionable insights to leadership and field teams. Manage multiple priorities while working with ambiguous, semi-structured data and AI-assisted analytical tools.

Analyze website behavior and ecommerce KPIs, develop hypotheses, coordinate A/B and multivariate tests, validate tracking, build dashboards, and turn results into actionable recommendations to improve conversion, engagement, and revenue.

Leads and develops a team of Conversion Data Analysts, owning workload prioritization, delivery quality, and performance outcomes. Uses KPIs and data to identify risks, guide decisions, and improve high-volume conversion workflows. Partners with project management, Engineering, Product, Support, and leadership to ensure accurate data mapping and successful customer onboarding. Requires people leadership, SQL, Excel, data validation, CRM, and conversion tooling experience.

Conduct pricing and business data analysis, build statistical and machine learning models, run analytical experiments, and identify trends in complex datasets. Partner with IT, management, data scientists, and third-party pricing software firms to implement solutions. Clean and interpret data, create reports and visualizations, present insights, support pricing decisions, and train others on analytical techniques.

Analyze large relational datasets, develop optimized SQL, validate data quality, troubleshoot discrepancies, maintain ETL pipelines, automate workflows with scripts and scheduling tools, and produce recurring reports and dashboards that support leadership decision-making in a controlled data environment.