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 (Dataverse, Salesforce Objects) • Track record presenting analytical results to senior leadership with a focus on business impact. • Experience in industrial, chemical, life sciences, energy, or related sectors is strongly preferred — comfort with technically complex subject matter is essential. Who You Are • A disciplined individual: demonstrates strong soft skills in communication, problem-solving, accountability, adaptability, and professionalism. • A data storyteller: translates complex analytical outputs into clear, actionable narratives for senior leadership and cross-functional stakeholders. • Proactive by default: identifies opportunities for analysis and new KPIs before being asked, connecting analytical work directly to revenue impact. • Intellectually curious: understands business context before building models, enjoys cross-functional partnership, and gains consensus on measurement approaches impacting the business. • A natural educator who leads with empathy and active listening, bringing clarity to complex analytics across technical and non-technical audiences.
Total Compensation & Care: • Base salary dependent on experience and demonstrated performance • 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
Why Join Greenfield? • We innovate, collaborate, and work with purpose. Our mission is to unlock the potential of people, partnerships, and nature to accelerate sustainable solutions for the health of the planet, and our work has a positive impact on the environment around the world. • Are you passionate about creating exceptional customer experiences, thriving in a culture of innovation, and driving sustainable solutions? At Greenfield, you’ll join a high-performance team dedicated to making a positive impact on the planet while advancing your career. • With offices in the U.S., Canada, and Ireland, Greenfield Global is family-owned and operated and has been awarded “Canada’s Best Managed Companies” Platinum-level designation since 2015.
Core Principles • Innovation: We are constantly seizing opportunities to develop new products, processes and methods to meet the diverse and demanding requirements of our customers. • Collaboration: We are part catalyst, part collaborator. We work with partners to get the most out of our existing products, and to develop custom solutions for our customer requirements. • Responsibility: Our commitment to give back to local communities in the US and Canada goes beyond the bottom line. We give back to the planet by processing renewable resources into low carbon fuels and chemicals. • Agility: Our team is not only fast, we have the flexibility and creativity to pivot with customer needs to develop custom-made, on-time solutions. • Discipline: At every plant, and for every customer, for every shipment, we put quality first. We operate a tight, transparent supply chain while meeting the highest regulatory standards. Greenfield Global USA, Inc. is an equal opportunity employer that is committed to providing a workplace free from harassment and discrimination. All qualified applicants for employment will be considered without regard to race, color, religion, sex, sexual orientation, marital or domestic partner status, gender identity or expression, pregnancy, age, national origin, ancestry, disability status, genetic information, veteran status, or any other legally protected characteristic.
