Top Data & Analytics Jobs

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 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.

Build and lead Vibe’s Marketing Science function, defining measurement strategy and frameworks for incrementality, lift studies, attribution, and marketing mix modeling. Partner with Product, Data Engineering, Sales, Client Success, clients, and measurement providers to ensure statistically rigorous performance reporting. Analyze SQL data, design experiments, resolve discrepancies, present recommendations to senior stakeholders, publish insights, and build a team of analysts and managers.

Supports operations through advanced data analytics, statistical modeling, machine learning, automated ETL pipelines, and data integration. Develops reproducible workflows, dashboards, reports, metrics, and data standards while cleaning and analyzing observational and healthcare data. Collaborates with IT and data engineering teams to improve scalable analytics infrastructure and evaluates emerging analytical technologies. Requires expertise in Stata, R, or SAS, with scripting and querying experience in Python or SQL.

Analyze programmatic advertising marketplace trends, buyer behavior, auction dynamics, publisher performance, and revenue data. Build scalable reports, dashboards, and KPI frameworks; investigate performance fluctuations; identify monetization and optimization opportunities; and translate complex analyses into actionable recommendations. Partner with cross-functional teams, support strategic planning, present insights to executive stakeholders, and improve analytics workflows using SQL, automation, and business intelligence tools.