Top Data & Analytics Jobs

Lead end-to-end analytics for engineering and product: develop SQL and dbt models, build self-service dashboards, define and standardize metrics (DORA, cycle time), run investigations into productivity, AI adoption, reliability and cost, implement data quality tests, integrate third-party data into Snowflake, and produce documentation for stakeholders through VP level.

Lead a small team building Power BI reports, dashboards, and automations to deliver real-time portfolio insights. Own Power BI architecture, data modeling, SQL optimization, stakeholder engagement, QA, process improvements, and collaboration with data engineering to enable scalable analytics for underwriting decisions.

Lead design and operation of a cloud-native data platform: set technical direction, build scalable ingestion/processing/warehousing pipelines (batch & streaming), support ML data needs, mentor engineers, drive projects end-to-end, run planning/standups/on-call, and eventually lead a data engineering team.

Design, build, and maintain scalable AWS-based data pipelines and storage (S3, Redshift, RDS, DynamoDB). Implement IaC (CloudFormation/CDK), ETL optimization, monitoring, security (IAM, OWASP/CIS best practices), and CI/CD/code pipeline controls. Collaborate with product teams, document solutions, and provide training to support analytics and reliable data infrastructure.

Lead development, testing, and documentation of code for cleaning, harmonizing, and analyzing LASI-DAD survey data. Manage data quality control, geospatial integration, codebooks, and public dataset release. Supervise junior programmers, produce tables/figures for publications, and present technical work at conferences.

Design, build, and maintain a robust data ecosystem and ETL pipelines to support digital campaigns, reporting, and analytics. Optimize data assets for performance and quality, partner with stakeholders to translate requirements into solutions, act as a data steward and subject-matter expert, and deliver iterative improvements within a Kanban continuous-delivery framework.

Develop and maintain BI solutions by sourcing data from corporate databases, building KPIs and interactive dashboards, optimizing legacy Excel/MS Access tools with VBA and .NET, migrating manual spreadsheets to centralized BI, documenting tool logic, and researching/implementing AI tools to streamline operations.

Entry-level Business Analyst supporting credit risk, pricing, and partnerships. Analyze internal and external data, develop KPIs, run visual analytics, estimate impacts, recommend process/product improvements, and communicate findings to stakeholders.

Design, build, and maintain scalable GCP-based data pipelines, data lakes/warehouses (BigQuery, Cloud Storage, Snowflake), integrate varied data sources, apply dimensional modeling, and collaborate with data scientists and stakeholders to ensure data quality, accessibility, and PHI security.

Collects and organizes data from CRM and other company sources, analyzes trends and outliers related to production, recruiting, sales and finances, creates scheduled reports, highlights issues and recommends solutions, and presents visual findings to management. Supports cross-department collaboration and performs related duties as assigned.