Data Analyst - Hybrid

• Analyze, interpret and provide insights/conclusions on large amounts of transaction and customer/shopper data globally and by marketing area, to communicate impactful recommendations to business leaders
• Creatively articulate the insights behind the data and help our team iterate category futures
• Manage cross-functional stakeholder needs both effectively and sensitively
• Own seasonal reporting related tasks including building and launching sell through and seasonal performance reports for all assigned categories

Skill Set:
1. Advance level Excel and Powerpoint
2. Intermediate to advance level knowledge in business analytics software. QMF, and Power BI
3. Knowledge in using SQL and Big Data Query.
4. Able to handle Big data analysis

Relevant Experience:

• 4-year College degree or equivalent grocery industry experience required. 2-year general retail experience a plus. Financial, Accounting, or Economics degree is a plus
• 1-3 years' experience working with shopper-generated or household/transaction-level data
• Passion for Data and Financial Analytics
• Strong Financial Acumen, ability to work with and understand large volumes of financial data. Understanding of P&L and vendor funding is a plus
• Proficient computer skills using Microsoft Office Suite, with advanced level on Excel and Power Point
• Intermediate to advanced level expertise using business analytics software. QMF, and Power BI preferred
• Basic understanding of computer programming language such as Python and SQL a plus
• General knowledge of segmentation models and an ability to synthesize and summarize large amounts of information clearly and concisely
• High degree of initiative with strong planning skills; must be able to work independently and be a team player
• Strong attention to detail and an ability to solve complex problems