Top Data & Analytics Jobs

Designs and implements scalable physical data models in Snowflake, translating conceptual and logical models into schemas, tables, and views. Collaborates with data engineering, architecture, governance, business, and technical teams on ETL/ELT, data integration, metadata, documentation, compliance, and pipeline optimization. Requires Data Vault 2.0, SQL, Snowflake, governance, and stakeholder management expertise, with pharmaceutical experience preferred.

Supports data gathering, analysis, reporting, dashboard development, process improvement, requirements documentation, solution testing, data cleanup, project tracking, and ad hoc analysis. Collaborates with senior analysts and business stakeholders to provide insights, validate solutions, maintain data integrity, and support business decisions.

Design and implement scalable data solutions using Microsoft Fabric and Azure. Build and orchestrate ETL/ELT pipelines, develop Power BI reports and DAX, optimize T-SQL and KQL queries, model data for Lakehouse/warehouse architectures, integrate varied data sources with Spark/PySpark, automate processes, ensure governance and security, and troubleshoot pipeline issues.

Analyzes spatial and raster data, prepares and maintains GIS datasets, configures Esri web mapping applications, designs maps, and automates workflows. The role also involves client collaboration, technical documentation, troubleshooting, and mentoring teammates on geospatial tools and best practices.

Leads custom quantitative and qualitative market research projects from questionnaire and screener development through data collection, validation, analysis, reporting, and presentation. Serves as primary client contact, manages vendors, timelines, costs, and project risks, mentors junior researchers, and translates findings into actionable strategic insights. The role is fully remote with occasional travel for in-person interviews.

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 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.