Top Data & Analytics Jobs

Prepares, reviews, validates, and completes client data packages and electronic data deliverables from laboratory testing. Processes deliverables according to client specifications, corrects routine errors, verifies software output, troubleshoots nonconformances, maintains records, meets deadlines, and identifies workflow and data-quality improvements. The role is primarily administrative and office-based, with occasional laboratory exposure.

Designs and manages database architectures, schemas, dictionaries, migrations, performance monitoring, backups, recovery, security, and documentation. Collaborates with developers, analysts, and administrators to maintain data integrity and support applications. Requires extensive database engineering or administration experience, SQL proficiency, knowledge of major database systems, cloud databases, cross-domain solutions, and big data environments. An active TS/SCI clearance with full-scope polygraph is mandatory.

Paid data analyst intern to collect, clean, and analyze e-commerce and marketing datasets, build dashboards, generate customer and performance insights, support market research, and collaborate with marketing, product, and sales teams to drive data-informed decisions.

Leads enterprise people analytics, workforce planning, forecasting, predictive modeling, dashboards, executive reporting, and workforce data governance. Analyzes turnover, retention, hiring, mobility, productivity, talent pipelines, labor markets, and workforce risks. Partners with HR, business leaders, and executives to provide insights, scenario models, organizational design support, and recommendations for strategic workforce decisions.

Designs, builds, and maintains production data pipelines, databases, warehouses, and reporting assets. Owns data from source to consumption, including requirements gathering, data modeling, database administration, performance tuning, and automation. Partners with GTM Operations, Marketing, Sales, Finance, and Product stakeholders to deliver dependable analytics solutions.

Build and maintain ETL/ELT pipelines, ingest and transform structured and unstructured data, integrate APIs and external sources, improve data quality and monitoring, support dashboards and ML pipelines, optimize warehouse and cloud performance, and contribute to data governance and documentation.

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.