Top Data & Analytics Jobs

Own marketing analytics and measurement to improve acquisition, campaign performance, and marketing ROI. Lead multi-touch attribution, marketing mix modeling, A/B testing, incrementality studies, and KPI analysis. Partner with Marketing and Product to improve data quality, translate complex findings into recommendations, influence senior stakeholders, and coach peers on analytics practices.

Manages data analysts and leads analytics initiatives for AbbVie Complete Access. Develops complex data models, dashboards, visualizations, reports, KPIs, and predictive analytics to translate data into actionable business insights. Oversees data quality, reporting systems, investigations, process improvements, and operational efficiency while partnering cross-functionally and coaching analytical staff.

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.

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.

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.

Prepares, cleans, validates, and manages data from multiple sources; develops and maintains reports, dashboards, and visualizations; performs routine and ad hoc analyses; documents data definitions and processes; coordinates with IT and data teams; supports users in interpreting reports; and communicates findings to nontechnical audiences.

Nine-week internship supporting Dimensional’s Investment Solutions Content Architecture team. Responsibilities include collecting, organizing, and analyzing data; developing scalable data models; improving processes; and automating data sourcing and content production. Interns will build foundational investment knowledge, contribute to reporting and content creation, and collaborate with Research, Portfolio Management, Trading, Client Group, and Marketing teams.

Build and advance channel intelligence capabilities by collecting and synthesizing customer, retailer, marketplace, competitive, field, syndicated, and commercial data. Develop frameworks, processes, reports, presentations, and actionable recommendations that support commercial growth, program optimization, planning, and decision-making. Partner cross-functionally with field teams, program leaders, clients, and analysts while communicating complex findings through clear business narratives and contributing to organizational capability development.

Own complex analytical workstreams from problem framing through client delivery, translating large datasets into actionable insights, executive narratives, visualizations, and recommendations. Ensure analytical accuracy, methodological rigor, documentation, and quality assurance. Improve workflows and reusable analytical assets, support feasibility assessments, collaborate with clients and internal teams, and mentor analysts.