Top Data & Analytics Jobs

Client Investment Research Analysts support Bridgewater's investment strategies by collaborating with teams to analyze markets, develop insights, and manage research projects, contributing to client service strategies and informing investment decisions.

Manages BayLegal’s case management data systems, user support, data quality, audits, reporting, dashboards, and grant and contract data collection. The role troubleshoots system issues, coordinates with vendors, improves workflows, maintains documentation, trains staff, and translates program data into actionable information for compliance, performance evaluation, and organizational decision-making. It requires careful handling of confidential information, independent judgment, strong communication, and collaboration with program teams.

Processes, analyzes, validates, and manages spatial and tabular environmental data. Creates accurate maps, figures, graphics, web maps, dashboards, and mobile data collection applications for environmental reports, permits, and regulatory submissions. Coordinates GIS data collection with field teams, integrates GPS and remote sensing data, maintains geospatial databases, and collaborates with environmental scientists, engineers, planners, and project managers.

Analyze short-term staffing performance across a 1–90-day horizon. Identify forecast variances, performance gaps, and operational inefficiencies; develop reports and models; recommend staffing adjustments; support real-time planning during critical events; and improve workforce planning processes through automation and scalable decision-making.

Leads the design and management of scalable cloud database infrastructure across AWS and Azure. Responsibilities include PostgreSQL and SQL Server administration, GraphQL and Hasura API development, cloud migrations, CI/CD automation, infrastructure as code, performance monitoring, security, compliance, data modeling, and mentoring engineers. The role also supports data access layers for AI and application workloads.

Leads LoanPro’s data and analytics strategy as its first BI hire. Integrates CRM, finance, product, and operations data into Domo; builds SQL queries, reports, dashboards, and visualizations; conducts exploratory analysis; translates business needs into analytics requirements; and delivers actionable insights to senior leaders. The role is primarily onsite in Farmington, Utah, with limited discretionary remote work and potential future team-building responsibilities.

Leads architecture and hands-on development of scalable data pipelines, governed data models, semantic layers, analytics products, and AI workflows. Writes production SQL and Python, establishes engineering standards, mentors engineers, and drives design reviews. Builds agentic and LLM solutions using retrieval and managed AI services while ensuring data quality, observability, reliability, privacy, and regulatory compliance for PHI and genomic data. Partners with stakeholders, platform teams, and governance forums to deliver trustworthy business solutions.

Architects and builds enterprise data infrastructure connecting subscribers, content, advertising, and digital products. Leads distributed systems, APIs, event streams, real-time pipelines, Snowflake warehouses, dbt models, backend services, and machine-learning infrastructure for personalization. Establishes standards for observability, security, reliability, testing, and cost efficiency while providing technical leadership across AWS, containerized services, architecture, mentorship, and incident response.

Leads analytics and data engineering for Sales and Revenue Operations. Builds reporting in Looker and Snowflake, manages CRM data flows into cloud warehouses, establishes transformation and modeling layers, and develops forecasts, scoring, churn, and expansion models. Supports territory, quota, pricing, and revenue-truth initiatives while presenting insights to finance and company leadership.

Develops data-driven solutions for audits, investigations, inspections, and program evaluations. Responsibilities include data integration and cleaning, statistical and machine-learning modeling, risk and anomaly detection, dashboard development, reporting, documentation, workflow automation, stakeholder collaboration, and staff training. The role uses Python, SQL, Power BI, Tableau, and related analytical tools while ensuring data quality, reproducibility, security, privacy, and governance compliance.