Top Data & Analytics Jobs

Own FINNY’s analytics warehouse, including dbt models, dimensional data structures, metric definitions, testing, documentation, identity resolution, BI reporting, and semantic-layer strategy. Partner with business teams to translate questions into trusted models and reports, improve AI access to company metrics, and establish software engineering practices for analytics. As the first analytics engineer, help build and eventually lead the data team.

Develop and execute quantitative analytics and statistical modeling projects supporting fair lending activities. Build and test credit risk models for mortgage and financial products, implement models in software, conduct back-testing, stress testing, and performance monitoring, and document methodologies for regulatory model oversight. Provide technical support to business areas, independently resolve complex issues, and communicate analytical findings clearly.

The Quality Assurance Specialist supports SSG Fox SPGP compliance, documentation, data collection, and reporting. Responsibilities include creating workflows and training materials, training staff on data requirements, running data quality reports and dashboards, conducting ETO audits, resolving data issues, reviewing financial assistance compliance, tracking orders, and maintaining procedures and forms. The role also supports program evaluation and accurate outcome documentation.

Analyze structured and unstructured data to identify trends, develop dashboards and reports, establish KPIs, and provide actionable recommendations to leadership. The role owns complex analytics deliverables, supports forecasting and process improvement, communicates insights to stakeholders, responds to ad hoc reporting needs, and leads small projects and initiatives.

Develops advanced business intelligence solutions using data analysis, reporting, dashboards, and visualizations to support leadership decisions. Collects and analyzes structured and unstructured data, identifies trends, creates forecasts, performs root cause analysis, and recommends operational improvements. Maintains Power BI dashboards, data models, and reporting solutions; responds to ad hoc requests; communicates findings to technical and executive stakeholders; and leads small analytical projects.

Maintains the ADEA Data Portal and research data platform, including dashboards, datasets, documentation, functionality, privacy, and security. Collects, cleans, validates, analyzes, and reports dental education data using surveys, administrative sources, scraping, and databases. Develops spreadsheet and interactive visual reports, supports members and vendors, contributes to automation and algorithms, and ensures data integrity and regulatory compliance.

Develop and maintain Databricks-based data pipelines, transformations, notebooks, workflows, and analytics-ready datasets using SQL, Python, and PySpark. Support ETL/ELT, Delta Lake data modeling, validation, troubleshooting, monitoring, documentation, CI/CD, and production support. Collaborate with engineers, analysts, architects, and business teams across Finance, Supply Chain, and Operations while developing knowledge of data governance, security, and quality practices.

Leads USAA’s data and analytics transformation for P&C insurance, developing enterprise strategies, roadmaps, governance, reporting, analytics platforms, and AI-enabled solutions. Builds and scales high-performing teams, partners with Product, Pricing, Underwriting, Compliance, and Finance leaders, and connects data insights to business outcomes. Oversees data management, risk controls, budgeting, talent development, and delivery of scalable production solutions.

Supports ABB’s Sales Excellence team by creating Power BI reports, translating stakeholder objectives into actionable analytics, identifying data-driven sales use cases, and streamlining repeatable tasks with PowerApps, Power Automate, and Excel. Collaborates with commercial teams, manages projects and deadlines, participates in meetings, and develops analytical and communication skills under manager guidance.

Build and optimize large-scale data pipelines and products using Databricks, Apache Spark, Java, and related technologies. Ingest, transform, validate, and prepare data for analytics and machine learning. Work with distributed systems, data lakes, Parquet, and Delta Lake; troubleshoot data quality and model issues in secure environments. Collaborate with engineers, analysts, customers, and stakeholders to deliver production-quality solutions and actionable insights.

Leads and develops a data engineering team responsible for ingestion, Snowflake administration, orchestration, CI/CD, data integrations, and platform reliability. Owns technical strategy, production operations, access controls, cost management, incident response, and engineering standards. Partners with product, analytics engineering, DevOps, and business stakeholders to deliver scalable data solutions. Mentors engineers, sets goals, prioritizes work, and supports organizational growth.