Commercial Analytics Senior Manager

Job Title: Commercial Analytics Senior Manager
Department: Marketing
Reporting to: Director of Marketing Operations & Analytics
Location: Remote

About the Role:
Greenfield is looking for a Commercial Analytics Senior Manager to join our growing team. This role owns the measurement, reporting, and analytical infrastructure across marketing and sales. You will build the reporting suite, define KPIs and targets, and deliver the analytical models that connect marketing and sales activity to revenue outcomes. This is a hands-on, technical role that is equally comfortable building a semantic model in Fabric as presenting attribution results to senior leadership.

This is a marketing-start up within a 35-year-old company rich with history, culture and deep values. This role requires an individual who is comfortable in an adapting, growing environment in the middle of exciting digital transformation.


Who We Are:
Since 1989, Greenfield Global has been the leading producer and supplier of high-purity alcohols, specialty solvents, custom blended solutions, and fuel ethanol to businesses worldwide.
Greenfield’s primary markets are life science (including pharma/biopharma and medical devices), food, flavor, fragrance, personal care, beverage alcohols, industrials, and renewable fuels. Annually, the company fulfills over 35,000 orders in more than 50 countries through its extensive global supply chain.
Greenfield’s low-carbon ethanol helps industries reduce their carbon emissions and meet environmental objectives. Our team of researchers and engineers continue to lead innovation in sustainable energy and chemicals, including green hydrogen, green methanol, sustainable aviation fuel, and renewable natural gas.
Job Responsibilities:
Reporting & Measurement
• Own the commercial analytics function: design, build, and roll out reporting suites and dashboards in Power BI for stakeholders across marketing, sales, operations, and finance.
• Define and govern targets, goals, and KPIs across marketing and sales, proactively identifying new measurement opportunities that connect directly to revenue outcomes.
• Present results and recommendations to senior leadership with clear, compelling data storytelling.
Analytics & Modeling
• Develop and operationalize analytical models including attribution, segmentation, CLTV, churn/retention, lead scoring, predictive analytics, and causal inference.
• Design and execute A/B testing and experimentation programs with appropriate statistical methodology.
Data Infrastructure & Governance
• Build and maintain semantic models and data pipelines in Microsoft Fabric and/or Databricks, connecting CRM, marketing automation, ecommerce, and third-party data sources.
• Manage data quality, hygiene, and governance across CRM and marketing automation platforms throughout the sales funnel.
Cross-Functional Partnership & Communication
• Partner with stakeholders across marketing, sales, operations, and finance to translate business questions into analytical workstreams and ensure outputs are actionable.
• Align measurement frameworks and KPI definitions with marketing and sales leads to ensure shared accountability for targets.
• Train and enable non-technical stakeholders to self-serve on dashboards and interpret reporting outputs.
Your Experience Should Include:
• Technical & Analytical
◦ 7+ years in commercial analytics, marketing analytics, revenue operations, or a related quantitative discipline.
◦ Proficient in Python or R and SQL, with experience across structured and unstructured data formats.
◦ Hands-on with Microsoft Fabric and/or Databricks for big data processing, data engineering, and analytics workloads.
◦ Skilled in building semantic models, data models, and ETL/ELT pipelines at scale.
◦ Proficient in Power BI and PowerQuery for dashboard development and reporting.
◦ Familiar with DevOps practices including version control, CI/CD, and environment management.
◦ Demonstrated use of AI tools to enhance analytical productivity.
◦ Proven experience operationalizing models including marketing attribution, customer segmentation, churn/retention, CLTV, and lead scoring.
◦ Experience designing and executing A/B tests and experimentation programs with statistical rigor.
◦ Exposure to marketing mix modeling, predictive analytics, causal inference, or demand/pipeline forecasting is a plus.
Business
• Experience designing, building, and rolling out reporting suites and KPI frameworks across marketing, sales, operations, and finance in a B2B environment.
• Direct exposure to marketing and sales platforms (CRM, marketing automation) and their underlying data structures (