Top Data & Analytics Jobs

Designs, develops, maintains, and enhances business intelligence solutions using multiple data sources. Builds Power BI dashboards, visualizations, reports, and scorecards with DAX; optimizes reporting performance; gathers requirements; resolves technical issues; documents BI standards; estimates and schedules project work; and communicates progress to management. The role also supports department initiatives and ad hoc reporting requests.

Design, build, and operate scalable batch and streaming data pipelines and analytical data models. Lead data architecture across ingestion, transformation, storage, and serving layers while implementing testing, CI/CD, observability, quality, lineage, governance, and access controls. Integrate restaurant and enterprise data sources, optimize platform performance and cost, deliver production-ready datasets for BI and AI, mentor engineers, and collaborate with cross-functional technical stakeholders.

Collects and analyzes data from project, financial, maintenance, and field systems; builds KPI dashboards and recurring reports; identifies trends, risks, and opportunities; supports budgeting and forecasting; validates data with project and operations teams; and communicates actionable insights to leadership while improving reporting processes.

Build and operate HomeLight’s data engineering systems, including scalable pipelines, ETL workflows, data warehouses, databases, schemas, and APIs. Analyze and visualize data, develop performance metrics, optimize data release processes, and provide reliable data for algorithms and internal teams. The role also involves applying LLMs and prompt engineering, designing service-oriented architectures, and building robust, highly available systems.

Conduct quantitative modeling, statistical analysis, cost-benefit studies, performance assessments, and dashboard or decision-support development for Senior Service College and military education programs. Translate complex data into recommendations, policy inputs, reports, and briefings for senior Department of War leadership, Congress, and government stakeholders. Work independently on high-visibility, mission-critical initiatives while supporting program evaluation and outcomes-based military education policy.

Own the end-to-end architecture and roadmap for MyFitnessPal’s product data stack. Coordinate data platform contributions across engineering, analytics, and BI teams; establish data movement, standardization, governance, security, and compliance practices; evaluate and consolidate tools; manage access, licensing, and spend; and drive architecture standards, documentation, and adoption across the organization.

Leads a 20+ person Analytics Engineering organization responsible for revenue, bookings, people analytics, and go-to-market data pipelines. Sets technical strategy, drives data transformation and governance, owns internal analytics agents and semantic layers, advances AI-assisted engineering, and partners with Product, Engineering, GTM, and business stakeholders. The role also supports customer conversations, thought leadership, cross-functional roadmaps, and enterprise-scale data initiatives.

Performs data quality assurance for large datasets by validating imports, updates, transformations, and extracts. Writes SQL test queries, reviews database logic, executes test cases, identifies defects, verifies corrections, and documents testing results. Collaborates with data engineers, business analysts, project managers, and QA professionals to ensure data integrity and compliance with requirements.

Build and operate scalable Python-first ETL and ELT pipelines for genomic and operational data. Integrate LIMS, laboratory instruments, applications, and third-party sources while guiding architecture and engineering standards. Own data quality, lineage, observability, reproducibility, audit readiness, security, and regulatory compliance across hybrid and cloud environments. Work with SQL databases, workflow orchestration, containers, Kubernetes, AWS data services, distributed processing, streaming, bioinformatics workflows, and infrastructure as code.

Designs and supports enterprise data integrations, ETL/ELT pipelines, APIs, data models, and transformations across Microsoft platforms. Maintains data quality, governance, security, and reliability while developing CI/CD pipelines, deployment automation, and release processes. Troubleshoots integration and deployment issues, manages environments, supports reporting and analytics, and collaborates with technical and business stakeholders to deliver scalable data solutions.