Top Senior Data & Analytics Jobs

Designs and maintains Power BI reports, dashboards, semantic models, and end-to-end analytics solutions. Builds ETL processes, data pipelines, and data transformations, performs advanced SQL/DAX/M work, automates reporting (including approved AI tools), validates data quality, recommends process improvements, and presents insights to technical and non-technical stakeholders. Individual contributor who may lead moderate-risk projects and deliver user training.

Build and maintain scalable data platforms and systems that transform raw market data into validated analytical datasets, including bars, residuals, curves, volatility surfaces, and greeks. Collaborate with trading, research, and external vendor teams to understand datasets and workflows, implement calculations, document technical solutions, and ensure reliable delivery through strong testing and validation practices.

Own merchant retention and SaaS analytics, identifying drivers of churn, retention, and software adoption. Build trusted metrics, dashboards, data models, and scalable reporting used by executives and cross-functional teams. Partner with Product, Customer Success, Finance, Sales, and Engineering to translate complex analyses into business recommendations, measure retention initiatives, and automate recurring workflows using data and AI tools.

Conduct market and competitive intelligence across Autodesk’s industries, analyzing AI developments, competitors, startups, funding, products, partnerships, research, and regulations. Partner with research teams to define markets, size opportunities, map competitors, test assumptions, and synthesize qualitative and quantitative findings. Lead projects, manage contributors and timelines, produce executive-ready briefs and presentations, and improve intelligence systems and processes using AI and automation with appropriate human validation.

Leads the design, development, and maintenance of scalable data pipelines, ETL/ELT processes, enterprise data warehouses, and data integrations. Establishes data models, quality standards, governance practices, and documentation while ensuring healthcare data security and interoperability through HL7, FHIR, APIs, and SFTP. Partners with clinical, operational, analytical, and IT stakeholders to deliver reliable data solutions, optimize performance, resolve data issues, and mentor junior staff.

Leads the team responsible for the performance, availability, integrity, security, recovery, and scalability of Microsoft and Oracle databases. Establishes database strategies, optimization, patching, compliance, capacity planning, and disaster recovery processes. Oversees database design, data warehouse structures, licensing, upgrades, vendor relationships, and technical projects. Partners with infrastructure and operations teams, mentors junior DBAs, manages third-party resources, and supports mission-critical enterprise applications.

Leads end-to-end ETL processes, develops Power BI dashboards, and uses SQL and BigQuery to deliver business insights. Partners with stakeholders and executives to support strategic decision-making, communicates complex findings clearly, and mentors analysts on data analysis, ETL, and dashboard development best practices.

Owns portfolio-level project performance analytics, KPI development, dashboards, reporting systems, and data governance for a Power EPC organization. Develops executive reports, audits project data quality, leads performance reviews and process improvement initiatives, and supports automation, AI, and digital transformation efforts. Partners cross-functionally with engineering, supply chain, construction, project controls, and leadership to improve project delivery performance and decision-making.

Own and evolve the end-to-end product analytics platform, including instrumentation, event collection, ingestion, raw data storage, data pipelines, analytical models, metrics, dashboards, quality monitoring, observability, lineage, and governance. Partner with software engineers to ensure analytics data is accurate, scalable, traceable, and reliable for business and product decision-making.

Administer and optimize SQL Server, AWS Aurora, PostgreSQL, and related database environments supporting federal workforce reporting. Responsibilities include performance tuning, backup and recovery, replication, data integrity, reporting support, incident troubleshooting, Tier 2/3 support, security controls, audit logging, vulnerability remediation, and technical documentation. The role requires prior Department of Labor IT program experience, federal database administration expertise, and eligibility for DOL Public Trust suitability.