Top Data & Analytics Jobs

Lead data discovery and design of enterprise data models, contracts, validation rules, and QA practices. Define metadata, data quality checks, and governance; partner with stakeholders and engineers to implement automated validation and ensure reusable, trustworthy city data.

Lead SAP master data processes for customer, vendor, and material domains. Ensure data integrity, governance, and compliance; define and enforce standards and KPIs; partner with cross-functional teams to resolve data issues and drive continuous improvement across global business processes.

The Business Intelligence Analyst at Crystal Run Healthcare will create reports and dashboards, gather requirements, and collaborate with development teams to support decision-making processes in healthcare operations.

As an Analytics Engineer, you'll manage the data stack, design database architecture, build data pipelines, and oversee reporting and data quality.

Lead architecture and technical direction for Haus's data ingestion and normalization platform. Design systems for schema evolution, data contracts, data quality, lineage, reproducible pipelines, and observability. Drive GCP/BigQuery/dbt decisions, mentor engineers, own incident response, and partner with data science and product to ensure reliable data foundations and AI-driven data-quality workflows.

Lead and mentor a team of Data Analysts to own regional data strategy and quality across web and mobile products. Partner with product, engineering, and commercial teams to deliver insights, improve tools, automate workflows, and drive product and user growth.

The Associate Actuary will lead actuarial model development for life insurance products, support valuation services, oversee model lifecycles, drive strategic initiatives, and foster talent development within the actuarial team.

Build and operate the data platform powering Vantaca IQ: ingestion and CDC pipelines, data modeling, aggregations and materializations, multi-tenant isolation, query/metrics APIs and reporting surfaces, LLM grounding/eval harnesses, and governed semantic layers to serve humans and agents with trustworthy intelligence.

Design, build, and maintain batch and real-time ETL pipelines and data lake architecture using AWS services, Python, PySpark, and SQL. Ensure data quality, governance, and compliance; support reporting and ML models; mentor junior engineers and document data products.

Design, build, and maintain scalable data ingestion and ETL pipelines across a growing data lake. Define and enforce data quality standards, SLOs, and validation frameworks. Optimize pipelines for performance and cost, expand monitoring and alerting, and enable stakeholders to self-serve on data infrastructure.