Top Data & Analytics Jobs

Develops and supports business intelligence and analytics solutions, including data models, datasets, dashboards, reports, and integrated analytics. Partners with business and IT teams on data warehouse and data lake design, governance, data quality, technology performance, and analytics adoption. Uses SQL and Python to extract and shape data, automates dataset monitoring, and incorporates statistical or predictive capabilities into BI solutions.

Build and own analytical data products, dbt models, semantic layers, shared metrics, and data quality systems. Model GA4 and digital analytics data, activate trusted data through reverse ETL, and partner with analysts, product teams, and business stakeholders to support decisions. Mentor engineers and analysts, establish modeling standards, and contribute to self-service and AI-assisted analytics foundations.

Supports provider business development through bundled-payment pricing analytics, financial modeling, and strategic analysis. Builds and refines analytical tools and datasets, develops models for new healthcare bundles, supports provider negotiations, and partners with data science and engineering teams on optimization and data infrastructure. Requires healthcare knowledge, quantitative skills, cross-functional collaboration, and the ability to manage multiple priorities in a fast-paced remote startup environment.

Supports data quality, governance, reporting, Power BI dashboards, LegalServer administration, system support, automation, documentation, training, compliance, and project activities. The role helps ensure accurate and secure organizational data, troubleshoots system issues, validates reporting outputs, supports integrations, and improves processes across Public Counsel’s legal services and operational teams.

Develops Power BI data models, dashboards, reports, scorecards, and complex measures. Cleans and transforms data, optimizes scalable BI solutions, supports data analysis and information management, and partners with clients and technical teams on requirements, architecture, and delivery. The role also involves authoring design documents, coaching team members, evaluating emerging technologies, and working with data warehouses, data marts, ETL, governance, and analytics methodologies.

Manages investment manager data across internal databases, ensuring accuracy, integrity, and timely updates. Reviews financial and legal documents, analyzes investment data using Excel, resolves data issues with internal and external stakeholders, and supports investment operations. The role also oversees outsourced data entry, develops training and documentation, improves processes, partners with IT on technical issues, and contributes to cross-functional projects.

Supports venture capital portfolio analytics through investment database maintenance, data collection and governance, SQL-based dataflows, data transformations, reporting, and performance analysis. Assists with investor data requests and collaborates with investment and technology teams to improve data processes. Requires strong Excel and basic SQL skills, attention to detail, critical thinking, communication, and the ability to manage multiple deadlines.

Build and lead Inovalon’s third-party data governance program, including data asset inventory, licensing controls, contractual rights management, data intake and release governance, audit readiness, compliance monitoring, and KPI reporting. Partner with Legal, Privacy, Procurement, and business leaders to manage data usage, renewals, access revocation, disposition, and downstream obligations. Develop a governance team while applying expertise in healthcare data, HIPAA, de-identification, and data licensing.

Architects and leads enterprise data engineering platforms, including scalable ETL/ELT pipelines, streaming frameworks, cloud infrastructure, data warehouses, and AI/ML data systems. Establishes engineering standards, governance, monitoring, data quality, security, and schema management practices. Designs AI agents using LLMs, partners across business and infrastructure teams, and makes high-impact architectural decisions for reliable, secure, multi-region data environments.

Leads paid media analytics, campaign measurement, reporting frameworks, dashboard development, data governance, and automated reporting across integrated marketing programs. Advises clients and internal teams using cross-channel performance insights, attribution, incrementality, and optimization recommendations. Partners across media, communications, creative, and strategy teams, contributes to proposals and AI initiatives, and mentors analytics talent.