Partner Marketing Data Scientist

Job Title – Data Scientist (Partner Marketing Analyst) Location: 100% Remote US Duration: 15 Months Role Overview This role sits within Partner Marketing organization, supporting analytics, reporting, data modeling, and insights for a large ecosystem of ~1,000 partners. The analyst will own the data infrastructure, pipeline metrics, dashboards, and insights that drive decision-making and growth in partner-sourced revenue. This is a growth opportunity to gain deep exposure to channel ecosystem. Key Responsibilities 1. Analyze Partner Marketing Performance • Analyze trends in partner marketing activities and their impact on: • Partner-sourced pipeline • Customer growth • Lead generation through partner campaigns • Partner engagement (e.g., activity in the Partner Marketing Center) 1. Own Partner Marketing Data Model & KPIs • Maintain all dimensions, definitions, and KPIs including: • Marketing-influenced partner-sourced pipeline • Unique domains • Development Fund ROI (DF ROI) • Activities & partner segmentation • Ensure partner marketing data integrates into the core Marketing analytics stack, not siloed. 1. Define & Manage Conversion + ROI Metrics Examples: • Lead-to-opportunity conversion rates • Development Fund ROI (e.g., 15x vs 8x without partner marketing) • Average deal size (with/without partner marketing) • Cloud ACV & cloud choice rate 1. Build & Maintain Dashboards + Reports Own Tableau and Salesforce dashboards such as: • Partner Marketing OKRs • Partner Influenced Pipeline views • Filters such as: • Managed vs unmanaged partners • Influenced vs non-influenced opportunities • DF vs non-DF • Region, solution, platform, fiscal period Publish quarterly summaries (example: FY25 Influence Summary, FY26 Q1 partner-sourced pipeline). 1. Ensure Alignment with Core Marketing • Standardize definitions across GTM (e.g., “influenced pipeline”). • Collaborate with Marketing Analytics + Marketing Ops to integrate partner metrics into broader scorecards. 1. Strategic Insight & Decision Support Use data to guide: • Partner prioritization • Scaling tactics & solutions in the Partner Marketing Center • Allocation of Development Funds (DF) and MDF • Partner enablement insights • Program KPI definition • Recommendations and measurement of outcomes 1. Data Quality & Collaboration • Work with vendors, data engineers, and stakeholders to ensure high data standards. • Collaborate cross-functionally with: • Marketers • Product teams • Senior leadership Daily Responsibilities • Apply statistics, ML, simulation, and advanced mathematics to identify patterns and opportunities. • Generate and test hypotheses; interpret product experiment results. • Work with engineers to convert prototypes into production-ready features. • Provide BI and visualization support across dashboards (e.g., customer service dashboards). • Perform ad hoc data analysis as needed. Experience Requirements • 5–7 years relevant data science / analytics experience. Top Technical Skills 1. Data Mining Tools (most important) 1. Jira, Confluence 1. SQL 1. Databricks 1. Tableau 1. Salesforce Top Soft Skills 1. Executive communication skills 1. Strong presentation ability 1. Highly organized Top 3 “Must-Haves” (Ranked) 1. Experience in data mining tools 1. Executive communication skills 1. Tableau expertise Target Candidate Profile (Sourcing Wish List) • Tech industry • B2B organizations • Marketing Analytics experience