Top Data & Analytics Jobs

Analyzes business processes, leasing and legal performance data, and reporting needs to identify efficiency opportunities and actionable insights. Develops AI and non-AI solution roadmaps, documents requirements, coordinates with IT and business teams, supports change management, and resolves data quality and system issues. Produces executive reports, performs ad hoc analysis, presents findings, and drives modernization across Lease Services.

Supports 24/7 grid operations by analyzing scheduling and workforce data, building Power BI and Excel dashboards, identifying trends and risks with SQL and Python, and contributing to process improvements, system migrations, training design, and monthly operations metrics. Presents findings to Control Room leadership and cross-functional stakeholders.

Business Analyst responsible for gathering, documenting, and managing business and IT system requirements. The role collaborates with Java developers and testers, leads cross-functional meetings, translates user needs into technical requirements, and ensures requirements are fully addressed. Candidates must have business analysis experience, Java and DB2 experience, HIPAA 834 transaction-set knowledge, health insurance industry experience, and a high-level understanding of PPACA legislation.

Own trade performance reporting, dashboards, scorecards, promotional ROI analysis, range review support, category insights, and sales projections for major retail customers. The role turns sales and shopper data into commercial recommendations, supports retailer presentations and new product launches, and collaborates with Sales, Marketing, Supply Chain, Demand Planning, and Finance. It requires strong Excel and presentation skills, commercial curiosity, attention to detail, clear communication, and the ability to manage multiple priorities.

Own digital analytics, reporting, dashboard development, data extraction, ETL, and AI-enhanced insight generation for luxury e-commerce. Partner with business leaders and online retail teams to translate questions into analysis, identify trends and opportunities, improve KPIs, and create self-service reporting. Present clear recommendations to leadership, maintain data governance, validate AI-generated insights, and support data and AI initiatives.

Leads the Claims insights and analytics function, partnering with senior Claims, Reserving, Actuarial, Finance, and Underwriting stakeholders. Translates business priorities into reporting, dashboards, data products, predictive analytics, AI, and automation initiatives. Oversees delivery, measurable business value, governance, stakeholder adoption, and team development while improving claims outcomes, operational efficiency, leakage management, reserving effectiveness, and decision-making.

Build user-facing reports, data models, and pipelines in BigQuery; apply statistical analysis to generate insights; troubleshoot analytics stack issues; review schemas and code; collaborate with product and engineering teams; and use AI agents to automate workflows and surface insights. The role requires strong SQL, BigQuery, Looker, Python, data warehousing, statistics, communication, and product judgment.

Build and quality-check short-term-rental market reports using Google Sheets and AirDNA data, investigate local amenities, improve presentation with Claude, edit Markdown and HTML files, and publish polished deliverables through Cloudflare. The role requires strong attention to detail, accurate formatting, dependable delivery, and familiarity with Monday.

Maintain the integrity and accuracy of the Raiser's Edge donor database, monitor gift coding and new records, produce donor, financial, dashboard, and fundraising reports, reconcile gifts with Finance, generate mailing lists and acknowledgment letters, and establish database procedures and best practices. The role also coordinates data flow across software systems, supports development teams, and ensures confidential handling of donor information.

Supports banking applications, integrations, data transformation, reporting, dashboards, data quality, and analytics. Troubleshoots application and integration issues, assists with implementations and testing, validates data, gathers business requirements, maintains reporting documentation, and supports governance, compliance, security, and audit activities. The role also contributes to workflow automation, process improvement, and responsible adoption of AI technologies in financial services.