Top Data & Analytics Jobs

One Month AgoSaved
In-Office
New York, NY, USA
50K-50K Annually
Entry level
50K-50K Annually
Entry level
Music
Matches live concert program titles to works in ASCAP’s internal repertory database, classifies works by genre, instrumentation, and duration, creates and updates work records, merges duplicates, and researches member-submitted programs for annual royalty distribution. The role also supports special projects, collaborates with team members, and recommends process improvements. A strong general knowledge of music, especially classical music, plus research, critical-thinking, communication, and database-record maintenance skills is required.
Top Skills: Adobe AcrobatGoogle WorkspaceExcelMicrosoft WordPrep
One Month AgoSaved
In-Office
4 Locations
200K-230K Annually
Senior level
200K-230K Annually
Senior level
Fintech • Software • Financial Services
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.
Top Skills: AppsflyerAWSDbtLookerPythonSigmaSnowflakeSQLSsotTableau
One Month AgoSaved
Hybrid
North Chicago, IL, USA
110K-209K Annually
Senior level
110K-209K Annually
Senior level
Healthtech • Pharmaceutical
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.
Top Skills: DashboardsData MiningData VisualizationPredictive AnalyticsSix Sigma
One Month AgoSaved
Hybrid
Omaha, NE, USA
20-28 Hourly
Internship
20-28 Hourly
Internship
Consumer Web • Food • Manufacturing
Summer 2027 data management internship focused on analyzing business processes, identifying automation and AI opportunities, building dashboards and reports, developing proof-of-concepts, and translating operational challenges into technical solutions. The intern will use tools such as Power BI, Microsoft Fabric, Databricks, Power Platform, Copilot, SQL, and Python while presenting recommendations to business and technology leaders.
Top Skills: Artificial IntelligenceAutomationCopilotDatabricksMicrosoft FabricPower BIPower PlatformPythonSQL
One Month AgoSaved
In-Office
South Seattle, Seattle, WA, USA
100K-300K Annually
Senior level
100K-300K Annually
Senior level
Retail
Analyze customer behavior and business performance to identify strategic opportunities across acquisition, activation, retention, and reactivation. Define measurement strategies, conduct diagnostics, correlations, and hypothesis testing, and transform complex datasets into actionable insights. Create reports, dashboards, visualizations, and presentations that clearly communicate recommendations and support data-driven decisions across the business.
Top Skills: LookerPower BIPythonRSQLTableau
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One Month AgoSaved
Remote or Hybrid
Chicago, IL, USA
79K-95K Annually
Senior level
79K-95K Annually
Senior level
Big Data • Cloud • Food • Pet
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.
Top Skills: CircanaExcelMicrosoft PowerpointNielsenSpins Syndicated Data
One Month AgoSaved
In-Office
Location, WV, USA
90K-100K Annually
Mid level
90K-100K Annually
Mid level
Digital Media
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.
Top Skills: Ai-Assisted ToolsDashboardsData VisualizationPythonRSpreadsheetsSQL
One Month AgoSaved
Hybrid
New York, NY, USA
155K-209K Annually
Senior level
155K-209K Annually
Senior level
Edtech • Machine Learning • Mobile • Other • Software
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.
Top Skills: Google Data StudioPythonRSQLTableau
One Month AgoSaved
In-Office
New York, NY, USA
80K-85K Annually
Mid level
80K-85K Annually
Mid level
Retail • Wearables
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.
Top Skills: ExcelGa4GoogleLookerMetaPower BITableauTiktokYoutube
One Month AgoSaved
Hybrid
New York, NY, USA
85K-100K Annually
Senior level
85K-100K Annually
Senior level
Agency • Edtech • Marketing Tech • Professional Services
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.
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