Top Data & Analytics Jobs

Analyze user behavior, feature adoption, and retention across a B2B SaaS platform to generate evidence-based product insights. Track journeys, run cohort and funnel analyses, support A/B testing, define product KPIs, ensure data accuracy, and provide structured recommendations to inform roadmap and improve adoption and retention.

Design, build, test and maintain scalable BI solutions. Partner with business stakeholders to gather requirements, produce overall solution design, perform root cause analysis, and optimize performance for complex healthcare business processes.

Gather and document business requirements for GRC implementations, translate regulatory needs into functional specs, build dashboards/reports (SoD, remediation, control effectiveness), support client onboarding and process mapping, manage Agile ceremonies in JIRA/Confluence, and prepare audit-ready documentation while liaising between compliance stakeholders and technical delivery.

Analyze GIS data and OSP designs to evaluate fiber expansion opportunities. Conduct feasibility studies, cost and financial impact analyses, resolve GIS-project discrepancies, prepare reports, and collaborate with engineering, construction, and business teams to support planning and deployment.

Design, implement, and maintain ETL/ELT pipelines and data models for the enterprise EDW. Troubleshoot and optimize performance, ensure data integrity and security, produce SQL-based reports for business consumers, and support complex data management processes across cross-functional teams.

Manage and improve data processes, build and maintain Power BI reports and SQL Server datasets, monitor KPIs, develop SOPs, support stakeholders with analytics and training, and lead ad-hoc profitability and service-metric analyses to drive operational efficiency.

Design, develop, and maintain BI solutions and reports for blood banking applications. Aggregate and analyze data from multiple sources, create queries and interfaces, validate software, troubleshoot systems, and support compliance, QA, and operational needs.

Designs, builds, and deploys data pipelines and integrations to support analytics and machine learning for digital pathology. Partners with product owners and ML teams to extract, transform, validate, and visualize data, enabling insights and model development. Maintains platform knowledge and provides consultative support across teams.

Support development and validation of the in-house reserving platform, manage and validate reserving data, run quarterly reserving processes and reports (including Solvency II), liaise with stakeholders, troubleshoot SRP data anomalies, and act as ResQ SME to improve reserving efficiency.

Work on the data team writing SQL and building pipelines and dashboards to ensure data quality, investigate errors, and support ML/LLM workflows. Use AI/LLM tools to generate and validate large datasets and research inputs for models, collaborating with engineering to improve data infrastructure. Part-time onsite role for a local college or MBA student.