Retail Business Insights & Analytics Manager

Ancient Crunch Inc.

3d•$95,000 - $120,000•Remote

About The Position

This role builds the analytics backbone for Omnichannel Retail. Turning POS, syndicated, panel, distributor and broker data into insights and decisions our sales team can act on. There's no dashboard to inherit. You're building it. The responsibilities listed below are not exhaustive. As Ancient Crunch scales, the requirements of this position will expand and adapt. The Business Insights & Analytics Manager is expected to lead new initiatives and assume additional duties consistent with this title and the long-term evolution of our sales strategy.

Requirements

4-6 years in CPG retail analytics
Hands-on experience with Circana, Nielsen, or SPINS — not just reading someone else's reports
Comfortable with EDI data and broker reporting structures
SQL, plus a BI tool (Tableau, Looker, or Power BI)
Strong in Excel — you build models, not just format spreadsheets
Can work without a template. This function doesn't exist here yet

Nice To Haves

Experience supporting AOP or long-term planning processes
Highly organized with strong attention to detail — accuracy is non-negotiable in this role
Ability to manage multiple priorities and deliver quality work under tight deadlines
Strong communicator — able to translate complex analysis into clear recommendations for non-financial stakeholders
Self-starter who thrives in a lean, fast-moving environment where structure is still being built

Responsibilities

Retail POS analysis across our retail partners — velocity, distribution, share, and out-of-stocks
Syndicated data (Circana, Nielsen, or SPINS) — pulling it, cleaning it, turning it into a story the sales team can use in a buyer meeting
EDI and broker performance reporting — keeping our brokers and internal team honest on the same numbers
Retail scorecard — building the first version, then keeping them current
Trade spend analysis — what's working, what's burning cash for no lift
Ad hoc analysis for retail buyer meetings and internal planning — this comes up weekly, not quarterly
Own item-level P&Ls across channels, maintaining accurate and up-to-date visibility into margin, pricing, and profitability
Manage and optimize channel pricing strategy, ensuring consistency and competitiveness across retail partners
Lead pack size proliferation analysis, evaluating the financial impact of new or discontinued pack configurations
Support the Annual Operating Plan (AOP) process and long-term planning through scenario modeling and innovation forecasting
Serve as the retail team's A.I. lead — identifying, implementing, and championing A.I. tools and workflows to improve speed and quality of analysis
Translate complex data into clear, actionable recommendations for cross-functional stakeholders
Identify opportunities to improve reporting infrastructure, trade efficiency, and analytical processes as the business scales