Top Data & Analytics Jobs

Lead the design and delivery of scalable batch and real-time data pipelines across AWS, Snowflake, PostgreSQL, MongoDB, dbt, and Kafka. Establish standards for data modeling, governance, security, testing, observability, and reliability. Build trusted datasets and semantic layers for BI, analytics, AI/ML, RAG, and LLM applications. Drive platform optimization, data integration, MDM, technical strategy, mentoring, and cross-functional collaboration.

Own the technical infrastructure supporting Spotify’s revenue growth programs. Build and maintain dbt models, BigQuery pipelines, dashboards, reports, and LLM-enabled data workflows. Monitor pipeline health, resolve data issues with engineering and Insights teams, and translate sales needs into reliable data products that improve prioritization, outreach, and advertiser growth.

Analyze complex datasets, build Power BI dashboards and reports, write SQL, and use Python with Pandas and NumPy for data manipulation and automation. Work extensively with Snowflake, validate and reconcile data, define KPIs, support forecasting and AI-driven analytics, and translate stakeholder requirements into analytical solutions. Present insights and recommendations while collaborating with business, data engineering, and data science teams to improve reporting, data quality, governance, and self-service BI.

Analyzes specialty-products markets, customer pricing, contracts, forecasts, and strategic performance metrics. Maintains pricing tools, supports growth action plans and business planning, manages agreements and nickel hedges, and prepares market and customer reports and presentations. Coordinates with field representatives, product managers, sales teams, and customers to support commercial activities and corporate reporting.

Senior Business Analyst leading discovery and requirements definition for Data & AI initiatives. Translates business needs into user stories, technical and functional requirements, and acceptance criteria; coordinates stakeholders, data engineers, BI developers, and product owners through delivery. Manages intake, prioritization, sprint progress, and communication while promoting Agile practices, MVPs, process consistency, and data-driven decision-making. Requires experience with analytics environments, Power BI, Tableau, project tracking tools, SDLC, and data concepts.

Designs and maintains scalable data pipelines, data platforms, reporting infrastructure, reconciliation systems, and self-service tools. Develops customer-facing and internal applications, integrates external data, improves data quality and auditability, and optimizes near-real-time processing. The role requires collaboration with engineering, analytics, product, data science, and security teams, along with participation in on-call support and technology evaluation.

Lead PMG’s analytics organization across clients, industries, and regions. Define the analytics capability roadmap, scale teams, guide senior client relationships, and align measurement strategies with business objectives. Oversee attribution, incrementality, reporting, experimentation, and data architecture while partnering cross-functionally. Manage Director-level leaders, succession planning, performance processes, governance, and thought leadership. Use AI, automation, and emerging analytics technologies to improve efficiency, decision-making, and marketing performance.

Establishes and maintains knowledge-management processes, repositories, collaboration tools, taxonomies, workflows, and documentation for classified U.S. Space Force programs. Organizes and validates information from multiple government stakeholders, develops dashboards and leadership products, supports SharePoint, Jira, and Confluence environments, and improves information accessibility, version control, and collaboration. The role also provides end-user assistance, manages sensitive data, documents lessons learned, and supports decision-making through accurate, actionable program knowledge.

Leads reporting, analytics, and data infrastructure activities supporting U.S. business units. Supervises analysts, standardizes KPIs and reporting, ensures data quality, coordinates data engineering and governance with IT, supports M&A integrations, and oversees dashboards, financial reporting, dataflows, and analytics resources. Requires strong Power BI, Excel, SQL or R, automation, BI operations, and stakeholder-management skills.

Own end-to-end data initiatives, including scalable ingestion and transformation pipelines, reusable data models, orchestration, validation, monitoring, and production operations. Improve performance, reliability, and infrastructure costs while partnering with product, operations, platform, ML, and engineering teams. Establish data engineering standards through technical design, code reviews, documentation, mentorship, and strong data quality and security practices.