Note: The job is a remote job and is open to candidates in USA. Greenfield Global is a leading producer and supplier of high-purity alcohols and specialty solvents. They are seeking a Commercial Analytics Senior Manager to own the measurement, reporting, and analytical infrastructure across marketing and sales, building reporting suites and delivering analytical models that connect marketing and sales activity to revenue outcomes.

Responsibilities

• 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
• 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
• 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
• 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

Skills

• 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
• 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 (Dataverse, Salesforce Objects)
• Track record presenting analytical results to senior leadership with a focus on business impact
• Exposure to marketing mix modeling, predictive analytics, causal inference, or demand/pipeline forecasting is a plus
• Experience in industrial, chemical, life sciences, energy, or related sectors is strongly preferred — comfort with technically complex subject matter is essential

Benefits

• Formal and informal training opportunities
• Comprehensive health and dental benefits
• Income protection: short- and long-term disability coverage, life insurance, paid personal sick time
• Vacation time exceeding industry standards
• Company funded retirement savings program with individual contribution opportunities
• Meaningful and challenging work
• Curated intentional culture focused on growth and development, engagement, and communication

Company Overview