Top Data & Analytics Jobs

Analyze competitive pricing, supplier costs, market conditions, and margins to recommend price changes. Maintain product cross-reference and taxonomy databases, monitor competitor and minimum pricing, support contract and quote reviews, and identify sales opportunities from overstock and deadstock. Collaborate with product specialists, merchandising, sales, renovation, and national account teams on pricing strategies, gap analysis, flyer items, catalog pricing, and go-to-market recommendations.

Serves as a strategic analytics partner to Marketing, owning funnel, attribution, ROI, account scoring, experimentation, and pipeline analytics. Builds scalable datasets, dashboards, and quality controls while connecting customer, campaign, product usage, CRM, and revenue data. Delivers executive-ready reporting, QBR insights, and recommendations that improve conversion, marketing investment effectiveness, account-based marketing, product adoption, and pipeline growth.

Supports procurement and transportation analytics by collecting, organizing, and analyzing data related to raw materials, purchasing, purchase orders, suppliers, freight, and shipping. Develops dashboards, reports, and performance metrics using Power BI and Excel, identifies trends and improvement opportunities, validates data, and supports reporting accuracy and process improvements.

Provides day-to-day data and technical support for GOTV campaign staff, including managing VAN support tickets, troubleshooting VAN issues, completing data tasks, writing and debugging SQL queries, and maintaining Google Sheets, reports, and dashboards. The role also supports VAN administration, phone banking, texting programs, documentation, and broader data projects while communicating solutions clearly and managing competing priorities in a fast-paced campaign environment.

Perform advanced pricing and trade analysis for the Grocery segment, using multiple data sources to guide list pricing, promotions, and investments. Analyze market trends, margins, competitive pricing, volume, and promotional tactics to identify risks and opportunities. Translate data into recommendations and leadership presentations, build reporting frameworks, collaborate cross-functionally, and lead pricing process and tool initiatives.

Analyze complex financial and business data to guide planning, forecasting, investment decisions, and strategic growth. Partner with FP&A, Accounting, RevOps, Product, Marketing, Data Engineering, and analytics teams; automate recurring workflows; build self-service dashboards and data assets; improve analytics infrastructure; and communicate actionable insights to technical and non-technical stakeholders.

Investigate offline and direct mail channel performance, attribution, vendor data, and measurement methodologies. Build response, lift, allocation, and regression models; manage direct mail testing data pulls and mail merges; create KPI dashboards; and communicate actionable recommendations to marketing stakeholders. The role requires proactively identifying opportunities, validating data and vendor claims, and translating complex analytical findings into business decisions.

Supports geospatial services for renewable energy projects by maintaining geodatabases, conducting spatial analyses, creating publication-quality maps and permitting exhibits, integrating GPS, aerial imagery, and drone data, and documenting data quality and metadata. Collaborates with engineers, environmental scientists, project managers, and senior GIS analysts while gaining practical experience in site selection, constraints mapping, and permitting deliverables.

Analyze internal and external data to identify trends, build targeted datasets for omnichannel marketing campaigns, and provide product, customer, segment, and business-unit recommendations. Develop and implement statistical response, performance, and lookalike models using Python and R. Create KPIs from multiple data sources and collaborate with internal teams to support campaign performance and decision-making.

Build Baseten’s marketing analytics foundation, including data models, dashboards, segmentation, lifecycle measurement, attribution, experimentation, and conversion optimization. Integrate CRM, advertising, web, email, product, and revenue data to connect customer journeys and enable data-driven marketing decisions. Partner with Demand Gen, Field Marketing, Marketing Operations, Product Marketing, GTM, Finance, Product, and Engineering.