Skills

Communication Leadership Tableau Jira Data Analysis SQL Data Mining Salesforce Test Prioritization Decision-making Customer Service Organization Marketing Confluence Analytics Data Science Databricks Mathematics

Job Specifications

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)

2. 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.

3. 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

4. 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).

5. 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.

6. 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

7. 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

Data Mining Tools (most important)
Jira, Confluence
SQL
Databricks
Tableau
Salesforce

Top Soft Skills

Executive communication skills
Strong presentation ability
Highly organized

Top 3 “Must-Haves” (Ranked)

Experience in data mining tools
Executive communication skills
Tableau expertise

Target Candidate Profile (Sourcing Wish List)

Tech industry
B2B organizations
Marketing Analytics experience

About the Company

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