Top Data & Analytics Jobs

Performs strategic and business analysis supporting sales, marketing, lifecycle, and product teams. Builds dashboards, recurring reports, business cases, scenario models, and presentation-ready insights. Maintains data quality, identifies performance issues, and supports leadership decision-making. Uses generative AI tools to automate reporting, accelerate analysis, and uncover growth opportunities.

Lead North American supply chain analytics by evaluating performance against forecasts and operating plans. Apply optimization, simulation, statistical analysis, data mining, and AI-enabled tools to improve reporting, forecasting, and decision-making. Conduct root cause analysis, drive continuous improvement, and translate complex operational and financial data into recommendations for senior and C-suite leaders. Partner cross-functionally to automate analytics and strengthen supply chain planning and performance.

Design, build, and own scalable data infrastructure for proteomics research and machine learning. Responsibilities include developing production data platforms and pipelines, integrating instruments and LIMS, creating cloud infrastructure with infrastructure-as-code and CI/CD, ensuring data integrity and lineage, and transforming raw experimental data into reliable ML-ready datasets. The role partners closely with scientific teams, establishes engineering standards, sets technical direction, and mentors colleagues.

Leads ticket and subscription revenue management, pricing, forecasting, sales reporting, and audience analytics. Develops dynamic pricing, inventory, promotion, subscription, and revenue strategies; builds forecasts, dashboards, and reports; analyzes customer behavior and sales performance; and translates data into recommendations for marketing, programming, finance, and sales. Manages relationships with analytics and pricing partners while coordinating cross-functional program setup and improving analytical capabilities.

Design, build, and optimize scalable data pipelines, warehouses, lakes, and processing systems for analytics and business intelligence. Ensure data quality, security, reliability, and cost efficiency while collaborating with data scientists, analysts, and engineers. Maintain technical documentation, support Databricks solutions, and apply emerging data engineering technologies. The role requires strong programming, SQL, ETL, orchestration, data modeling, cloud, and big data expertise.

Develop and guide enterprise data architecture strategy, blueprints, roadmaps, models, governance standards, and integration platforms. Partner with leadership, architects, SMEs, and the PMO to align IT initiatives with enterprise goals, reduce data duplication and risk, and support data-driven decision-making. Provide guidance on data management, database, cloud, analytics, compliance, and architecture best practices. The role requires extensive enterprise architecture and data management experience, occasional travel, and an active Secret security clearance.

Design, build, and own scalable data infrastructure for proteomics research and machine learning. Develop production data platforms, automated workflows, cloud infrastructure, pipelines, lakehouse architectures, and integrations with instruments and LIMS. Establish data integrity, lineage, security, and reproducibility standards while partnering with scientific teams. Set technical direction, operate terabyte-scale systems, review designs and code, and mentor colleagues.

Develops durable data literacy, AI readiness, data quality, and user acceptance testing resources across IYT. Responsibilities include researching staff workflows, creating Salesforce data references and training modules, developing AI prompt libraries, establishing regional data stewardship and quality scorecards, designing testing and bug-reporting processes, documenting SOPs, and transitioning ownership to internal staff. The role requires strong organization, documentation, communication, independent project structuring, and proficiency with cloud collaboration tools.

The role involves administering Salesforce, developing automations with Flows and Apex, and maintaining data pipelines to support revenue operations at ElevenLabs.

Analyze business and operational data to identify trends, explain performance, and provide actionable insights. Build and maintain SQL and Python workflows, datasets, pipelines, and reports; validate data quality; apply statistical methods; translate stakeholder questions into analytical requirements; and automate manual processes to improve reporting efficiency and scalability.