Top Data & Analytics Jobs

Leads BHSI’s global data strategy and Data Office, establishing governance, improving data quality, modernizing the data ecosystem, enabling analytics and AI, and promoting data literacy. Partners with Technology and business leaders to deliver actionable insights, support underwriting, claims, actuarial, and functional teams, and make data a strategic business asset. Builds cross-functional accountability through data stewardship and drives enterprise-wide transformation.

Build Reducto’s data infrastructure from the ground up, owning warehouses, databases, pipelines, orchestration, transformations, data modeling, reliability, testing, freshness, and lineage. Integrate product, sales, and finance data into trusted company-wide datasets. Partner with Engineering, Finance, Operations, and GTM leaders to define business metrics and priorities. As the founding data hire, establish scalable architecture and standards while supporting analytics and business decision-making.

Designs, builds, and owns enterprise data infrastructure supporting analytics, machine learning, and AI applications. Responsibilities include developing scalable ETL/ELT pipelines, API and database integrations, data models, ingestion frameworks, lake and warehouse architectures, Power BI reporting assets, data quality monitoring, governance, lineage, and reproducibility practices. The role partners with data scientists, machine learning engineers, business teams, and IT while supporting healthcare data environments and third-party data negotiations.

Participate in the software development life cycle, including design, database and code implementation, testing, debugging, troubleshooting, documentation, and maintenance. Collaborate in Agile development meetings, write structured code, complete assigned projects, and consult with team members to achieve desired results. The role is intended for a Computer Science or related bachelor's student with strong problem-solving, critical-thinking, teamwork, and learning abilities.

Administer and support SQL Server and cloud databases for a tolling environment. Responsibilities include database monitoring, installation, upgrades, patching, migration, performance tuning, troubleshooting deadlocks and blocking, resolving application connectivity issues, supporting high availability, and managing very large databases. The role also provides help desk and application support, uses operating-system scripting, and recommends database improvements while collaborating with engineering and operations teams.

Conducts advanced statistical analysis for market research studies, including survey and secondary-data cleaning, regression, ANOVA, experimental design, multivariate modeling, and causal analysis. Uses statistical and business software to automate procedures, create outputs, interpret findings, and communicate insights to internal teams, clients, and nontechnical stakeholders. Supports projects from analytic planning through analysis and presentation while ensuring accurate, timely deliverables.

Leads enterprise risk dashboards, semantic models, data pipelines, and predictive and descriptive analytics using Power BI and SQL. Partners with IT, finance, audit, compliance, and operations teams to ensure data quality, governance, security, and regulatory compliance. Translates complex risk and audit datasets into actionable insights for senior leadership while establishing responsible AI, analytics, and data warehouse governance practices.

Manages data and records for a Department of the Air Force battle-network division, including metadata, knowledge management, CDRLs, configuration and change control, audits, databases, data standards, cybersecurity compliance, and SharePoint administration. Produces reports, tracking tools, file plans, and analytical findings while supporting acquisition documentation, records management, database performance, backup and recovery, and SharePoint users.

Leads a data engineering team and supervises one Data Engineer while designing, maintaining, and optimizing reliable data pipelines and infrastructure. The role integrates internal and external data sources, supports SaaS analytics dashboards and connected platforms, improves data-store performance, and ensures infrastructure quality, security, and uptime. Requires proficiency in Python, databases, distributed processing, orchestration, AWS, and machine learning.

Delivers recurring weekly and monthly sales reporting for Individual Life Insurance distribution partners. Maintains Tableau dashboards and reporting templates, validates and reconciles data across sources, investigates discrepancies, handles routine ad hoc requests, follows documented processes, and escalates complex issues. The role requires accurate execution, clear communication, sound judgment, and continuous improvement of reporting quality and efficiency.