Mark Anthony Group is an entrepreneurial drinks company built from the ground up by thinking differently, innovating, and doing the unexpected. Founded in 1972, the company has grown from a one-person wine importing business into an international drinks company with a portfolio that includes White Claw Hard Seltzer, Mike's Hard Lemonade, and Cayman Jack.
Position Summary
This Sr. Analyst, Sales Analytics is a key member of the Analytics & Insights team. This role partners with Regional Sales Leadership, Regional Sales Teams, Sales Enablement and IT to deliver actionable insights, support critical sales tools and processes, and improve commercial execution.
The position is responsible for analyzing distributor and market performance, supporting sales enablement solutions, tracking incentive programs, managing Trax data, and supporting Annual Business Planning for regional sales team. The ideal candidate is highly proficient with commercial data, including VIP depletion data, Circana syndicated data, Trax, Salesforce, and other relevant sales and market datasets, and can translate complex information into clear recommendations that drive action.
Core Duties & Responsibilities
- Analyze distributor depletion, shipment, inventory, execution, and sales performance data to identify business opportunities, risks, and performance drivers.
- Monitor distributor and regional performance against key objectives and provide actionable recommendations to improve execution and growth.
- Support distributor incentive programs, including target development, performance tracking, reporting, and program evaluation for both the on and off premise.
- Develop and maintain recurring sales scorecards, KPI reporting, and leadership-ready performance summaries.
- Provide analytical support for Annual Business Planning, target setting, forecasting, and regional business reviews.
- Partner with Sales Leadership to evaluate sales trends, distribution opportunities, inventory performance, and execution gaps.
Commercial Data Expertise
- Serve as a subject matter expert on VIP depletion data and distributor reporting, including retailer, market, channel, territory, and product-level performance.
- Use Circana syndicated data to evaluate category, brand, channel, retailer, distribution, velocity, and market trends and connect those insights to depletion performance.
- Build working expertise across Trax, Salesforce and other commercial datasets used by the organization.
- Validate data accuracy, identify anomalies, investigate root causes, and clearly communicate data limitations or methodology considerations.
- Promote consistent definitions and appropriate use of commercial data across reporting, analysis, and business planning.
- Serve as a primary analytical support resource for Sales Enablement Solutions and related field capabilities.
- Manage and support Trax data, reporting, issue resolution, and business application.
- Support adoption and continuous improvement of commercial tools and applications through training, documentation, and user support.
- Identify opportunities to streamline processes, automate recurring work, and improve access to actionable sales information.
- Develop dashboards, reporting solutions, and self-service resources that improve field productivity and decision-making.
- Produce and maintain standardized sales reporting, dashboards, and KPI scorecards.
- Support regional Annual Business Planning processes and ongoing performance tracking.
- Prepare executive-ready presentations that translate complex data into clear business stories, implications, and recommendations.
- Support ad hoc analysis for Sales Leadership and cross-functional business initiatives.
- Continuously identify opportunities to simplify reporting, reduce redundancy, and improve the speed and consistency of insights.
- Partner with IT, VIP, and other external data providers to support the accuracy, completeness, and timeliness of commercial data.
- Identify, document, and troubleshoot data or reporting issues and coordinate follow-up through resolution.
- Translate business needs into clear requirements for reporting enhancements, automation, and tool improvements.
- Perform user acceptance testing, validate enhancements, document defects, and support rollout and adoption activities.
- Monitor data quality and escape issues that could affect business reporting, planning, or decision-making.
Cross-Functional Partnership
- Collaborate with Sales, Category Management, Supply Chain, Finance, Marketing, Analytics, and IT to support commercial priorities.
- Participate in cross-functional projects requiring sales analysis, performance measurement, or commercial data expertise.
- Build trusted relationships with internal stakeholders and external data partners.
- Contribute to a data-driven culture by helping stakeholders understand, interpret, and apply commercial insights.
- Bachelor's degree in Business, Analytics, Finance, Economics, Statistics, Mathematics, or a related field.
- 5-7 years of relevant experience in sales analytics, commercial analytics, category analytics, business intelligence, or a related analytical role.
- Consumer packaged goods, beverage alcohol, distributor, retail, or syndicated data experience strongly preferred.
- Strong working knowledge of distributor depletion data and commercial performance measurement.
- Hands-on experience with Circana syndicated data and the ability to interpret category, brand, retailer, channel, distribution, and velocity performance.
- Experience with VIP, Trax, Salesforce, or similar commercial data and reporting platforms preferred.
- Advanced Microsoft Excel skills, including PivotTables, Power Query, XLOOKUP, INDEX/MATCH, and analysis of large datasets.
- Strong proficiency with PowerPoint and demonstrated ability to create clear, compelling data stories.
- Experience with Power BI or a comparable data visualization platform.
- Ability to translate business needs into clear data, reporting, and technology requirements.
- Strong analytical, problem-solving, organizational, and project management skills.
- Excellent written and verbal communication skills, with the ability to work effectively across technical and non-technical teams.
- High attention to detail and a proactive approach to identifying root causes and resolving data or reporting issues.
- Ability to manage multiple priorities, work independently, collaborate across functions and meet deadlines in a fast-paced environment.
Key Success Factors
- Deep understanding of VIP depletion data, Circana syndicated data, and distributor performance.
- Ability to connect market, retailer, and depletion data to practical sales actions.
- Strong command of sales reporting, KPI development, incentive tracking, and business planning support.
- Proactive ownership of data quality, issue resolution, and continuous improvement.
- Ability to simplify complex information and influence decisions through clear insights and recommendations.
- Trusted partnership with Sales Leadership, regional teams, IT, and external data providers.
Compensation offered to prospective team members considers internal equity and may vary based on the position's location and the candidate's job-related knowledge, skills, and experience.
- Competitive annual salary $90,000 to $95,000 in Chicago, IL.
- Bonus plan designed to recognize company performance and individual contributions.
- Comprehensive health and welfare benefits.
- Company matching 401(k) contributions.
- Paid time off, including annual leave, paid sick time, and holidays.
- Opportunities for training, development, and career growth.
Our Values
Best in Our Craft: We set the standard through a relentless pursuit of excellence across our products, processes, and people.
Ambitiously Curious: We stay curious, dream big, and navigate the unknown with an enduring belief in better.
Made With Humility: We bring humility, authenticity, fun, and support to every collaboration and celebrate wins as a team.
Daringly Disruptive: We challenge the status quo, move quickly to seize opportunities, and act scrappily to stay ahead.
Equal Opportunity Employer
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