Senior Director Marketing Analytics (CPG)
Jobs at Acosta Open At a glance
Director-level Marketing Analytics role at Jobs at Acosta. Rogers · full-time · no salary stated · we estimate $180,875–$236,563 across the United States.
Jobs at Acosta has not published a salary for this role. The figure below is our estimate, not theirs.
growthroles summary, based on the employer's posting.
What you'll do
- Set the analytics direction and roadmap across client reporting, retailer insights, BI, measurement and operational work
- Guide analysis of marketing effectiveness, attribution, incrementality, ROI, forecasting and performance optimization
- Oversee dashboards, reporting systems, data governance and analytics solutions across the organization
- Turn retailer, syndicated, CRM and enterprise data into executive recommendations and clear business presentations
- Build and develop the analytics team while partnering with leaders across Sales, Finance, Operations, Client Services and Technology
What you bring
- A bachelor’s degree in analytics, statistics, mathematics or another listed field
- At least ten years in analytics, business intelligence, consumer insights or a related discipline
- Five or more years leading and developing analytics teams
- Advanced command of Power BI, SQL, Snowflake, Excel and business intelligence platforms
Who this fits
This director-level role suits someone who has led analytics teams and used data to shape executive decisions. You’ll work on-site in the Rogers, Arkansas office three days each week.
From the employer
This is a #Hybrid position, working on-site in our Rogers AR office 3 days a week.
You will lead the organization’s analytics strategy across client reporting, retailer insights, business intelligence, measurement, and operational analytics. Partner with executive leadership to translate complex data into actionable insights that drive growth, strengthen client partnerships, improve performance, and inform strategic decisions.
- Lead the Marketing Analytics function, including client reporting, retailer insights, business intelligence, measurement, and operational analytics.
- Develop and execute the analytics strategy and roadmap to support business growth, client retention, and operational performance.
- Partner with executive leadership to deliver data-driven insights and recommendations that influence business strategy.
- Lead advanced analytics across marketing effectiveness, attribution, incrementality, ROI, forecasting, and performance optimization.
- Oversee enterprise reporting, dashboards, BI platforms, data governance, and analytics solutions.
- Leverage retailer, syndicated, CRM, and enterprise data to identify trends, opportunities, and business drivers.
- Translate complex analytics into compelling executive-level presentations and actionable business stories.
- Collaborate across Sales, Finance, Operations, Client Services, and Technology.
- Lead, coach, and develop a high-performing analytics team.
- Bachelor’s degree in Analytics, Statistics, Mathematics, Computer Science, Business, Economics, or related field required; Master’s degree preferred.
- 10+ years of progressive experience in analytics, business intelligence, consumer insights, data science, or related fields.
- 5+ years of leadership experience managing and developing analytics teams.
- Experience partnering with executive leadership and influencing strategic business decisions through data.
- CPG, retail, shopper marketing, consumer insights, or agency environments strongly preferred.
- Advanced proficiency in Power BI, SQL, Snowflake, Excel, and business intelligence platforms.
- Knowledge of data warehousing, ETL processes, dashboard development, forecasting, attribution, incrementality measurement, and ROI analysis.
- Experience with syndicated and retailer data, including Nielsen, Circana, and retailer-specific platforms, preferred.
- Strong executive communication, data storytelling, stakeholder management, and strategic leadership skills.
Physical Requirements
- Sit for extended periods (typically 6+ hours per day).
- Use a computer, including keyboard and mouse, for prolonged periods.
- Lift and carry light items (e.g., files, office supplies, laptops, typically 20+ pounds).
- Reach, bend, or stoop occasionally to access files or office materials.
- Maintain focus and attention for long periods of desk-based work.
- Follow clear directions.
- Perform repetitive motions (e.g., typing, clicking) consistently throughout the day.
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