Amylu Foods is seeking an experienced data / category analyst to play a critical role in the development and execution of our business objectives.
This role, working closely with Marketing and Sales, is responsible for analyzing point-of-sale scan, promotion, and consumer panel data.
This role will develop fact-based, actionable insights for the team and assist in data presentations and reports that lead to better assortment and merchandising decisions.
The analyst will be responsible for implementing processes and procedures for best-in-class data reporting. This role also supports category management and shelf validation tasks on an ad-hoc basis.
Responsibilities
- Prep, cleanse and integrate multiple data sources for a complete analysis.
- Produce routine data reports and trackers to ensure strategies and objectives are integrated into sales and marketing team program execution.
- Communicate information to support sales teams with new item launches, marketing campaigns, and internal routines on a weekly / monthly basis, providing actionable insights for the team to implement.
- Develop data reporting cadence and execute on an ongoing basis.
- Assist in sales category business review meeting prep to develop a strong selling story custom to each retailer.
- Curate compelling visual support charts that tell our brand growth and opportunity story.
- Track and analyze promotion execution for category and provide actionable insights to sales and marketing team.
- Understand how to analyze sales lift by retailer and track performance, providing insight on future promotion plans.
- Utilize shopper panel data to assist marketing team in program and message planning.
Required Skills & Abilities
- Strong communication and interpersonal skills
- Sound problem-solving abilities, analytic, and critical thinking skills.
- Strong attention to detail
- Ability to prioritize and manage multiple projects at one time.
- Knowledge of and experience using data reporting tools and tactics
- Knowledge of Nielsen, SPINS, IRI platforms and data sets
- Ability to mine and clean data for easy end user consumption, with the ability to effectively convey complex data and insights to non-technical audiences.
- Proven strong analytical, problem-solving, critical thinking skills.
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