RGM Data Analyst
L
LingaroFMCG analytics
Listing location: Europe; Workplace type: RemoteFull-Time
Salary not disclosed
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Job Details
- Required Skills
- SQLMicrosoft Power BIMicrosoft ExcelData visualization
Requirements
- Engage with business stakeholders and translate their needs into analytical solutions.
- Demonstrate strong data visualization and storytelling skills, turning complex analysis into insights and recommendations.
- Translate business requirements into user stories, acceptance criteria, and analytical requirements.
- Independently query, explore, and analyze complex datasets.
- Have strong working knowledge of SQL and Excel.
- Have experience with data visualization tools such as Power BI.
- Have experience in pricing analytics, particularly price elasticity modelling, demand analysis, or price-volume relationships.
- FMCG, retail, Strategic Revenue Management, Revenue Growth Management, pricing, or commercial analytics experience is highly desirable.
- Experience with FMCG datasets such as sales, pricing, promotions, SKU or customer hierarchies, market share, or competitor data is an advantage.
- Experience with external data providers such as NielsenIQ or Circana is beneficial.
- Knowledge of Python, R, or other analytical tools is an advantage.
- Work effectively across business and technical teams.
Responsibilities
- Work with business stakeholders to understand commercial challenges and define analytical needs.
- Design analytical approaches and models to address business needs.
- Analyze pricing, price elasticity, price-volume relationships, and pricing opportunities.
- Analyze FMCG data covering sales, pricing, promotions, customers, products, revenue, margins, market share, and competitor activity.
- Query and analyze internal and external data using SQL, Excel, and analytical platforms.
- Create visualizations and actionable insights using Power BI or similar tools.
- Translate business and analytical requirements into user stories, acceptance criteria, and documented business rules.
- Collaborate with product managers, product owners, data engineers, BI developers, and commercial teams during product development, testing, and validation.
- Help develop analytical methods and solutions that can be standardized and scaled across markets.
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