Top Data & Analytics Jobs

Leads Sensient’s global Business Intelligence practice and data strategy. Oversees BI, data warehousing, enterprise reporting, IT infrastructure, and reporting capabilities. Advises senior leadership, manages technology selection and implementation, coordinates infrastructure priorities, supports contract negotiations, and drives continuous improvement. The role leads IT teams and collaborates globally to turn complex data into actionable business insights while ensuring systems meet organizational needs, budgets, and timelines.

Analyzes syndicated retail data and client information to identify growth opportunities, deliver strategic insights and recommendations, and support client decision-making. Manages client needs and concurrent projects, coordinates training on SPINS data and applications, builds relationships across client organizations, and identifies relevant SPINS solutions. Requires strong analytical skills, business acumen, advanced Excel and PowerPoint capabilities, and experience with CPG, consulting, market research, or syndicated data.

Own ETF data quality and accuracy across VettaFi’s consumer platforms. Audit and improve LLM-generated classifications, descriptions, and data extractions; build and maintain a unified ETF taxonomy and ontology; manage market data vendors; collaborate with Product, Engineering, and Marketing; and establish KPIs for data quality, completeness, timeliness, and platform performance.

Designs, develops, and optimizes enterprise Snowflake data platforms, pipelines, data models, and ELT/ETL workflows. Builds reliable data lake and warehouse solutions, manages Snowflake performance and costs, implements data quality and governance practices, and supports cloud data environments on Azure or AWS. Partners with analysts, scientists, engineers, and business stakeholders to deliver scalable solutions, troubleshoot platform issues, influence architecture, and mentor junior engineers.

Finds, analyzes, and visualizes datasets to produce accountability-focused news, investigative reports, explainers, and breaking-news context. Reports and writes across platforms, conducts interviews, creates videos, appears on camera, and translates complex findings into accessible journalism. Collaborates with national, local, product, growth, and newsroom teams to validate data, localize stories, build storytelling tools, and understand audience needs.

Analyze global performance marketing campaigns, measure media-spend impact, develop data-driven user-growth strategies, define marketing KPIs, and transform complex data into actionable insights. The role partners with data science and marketing technology teams, shapes backend data design, and builds dashboards in tools such as Tableau. Candidates need strong SQL, marketing analytics, data visualization, communication, and analytical skills, with occasional statistical programming experience preferred.

Administer and monitor AWS PostgreSQL databases, optimize complex queries, review schemas and indexes, guide data architecture, support releases and infrastructure growth, and maintain RDS systems. The role also automates manual workflows using AI tools, collaborates cross-functionally, and mentors junior and mid-level engineers while establishing database best practices.

Analyze omnichannel media performance, CRM data, customer lifecycle behavior, and consumer insights. Build dashboards, reporting frameworks, forecasts, and executive summaries while identifying opportunities to improve acquisition, retention, personalization, media effectiveness, and commercial performance across retail and e-commerce.

Maintains accurate formulas, ingredient and product specifications, and process instructions in PLM and ENF systems. Reviews and updates R&D documentation, manages item creation and obsolescence, supports approvals with internal stakeholders and suppliers, and follows data-management standards, SOPs, and checklists. The role requires meeting project deadlines, careful attention to detail, collaboration, problem-solving, and foundational knowledge of food science, engineering, quality assurance, and food-industry processes.

Own and build Underdog’s regulatory reporting data platform, including dbt models, resilient pipelines, automated validations, monitoring, and reporting roadmaps. Partner with regulators, engineering, product, compliance, and leadership; lead audits, investigations, root-cause fixes, data governance, and on-call operations. WOOF WOOF.