RGM Data Analyst

What You’ll Do
Work directly with business stakeholders to understand commercial challenges, identify analytical needs and define the questions that need to be solved. Design and propose analytical approaches and models that address identified business needs. Perform pricing analytics , with particular focus on price elasticity, price-volume relationships and identification of pricing opportunities. Analyze FMCG data across areas such as sales, pricing, promotions, customers, products, revenue, margins, market share and competitor activity. Query and analyze data independently from multiple internal and external data sources using tools such as SQL, Excel and analytical platforms. Transform complex analyses into clear, compelling visualizations and actionable insights using Power BI or similar tools. Translate business and analytical requirements into user stories, acceptance criteria and documented business rules for development teams. Work closely with Product Managers, Data Engineers and Developers throughout product development, testing and validation. Help develop analytical methodologies and solutions that can be standardized and scaled across markets .

What We're Looking For
Ability to engage with business stakeholders, understand their challenges and translate business needs into analytical solutions . Strong data visualization and storytelling skills, with the ability to turn complex analysis into clear insights and recommendations . Experience translating business requirements into user stories, acceptance criteria and analytical requirements . Strong analytical and structured problem-solving capabilities, with the ability to independently query, explore and analyse complex datasets . Strong working knowledge of SQL , Excel and data visualization tools such as Power BI . Experience in pricing analytics , particularly price elasticity modelling , demand analysis or price-volume relationships. Experience within FMCG, retail, Strategic Revenue Management, Revenue Growth Management, pricing or commercial analytics is highly desirable. Experience working with FMCG datasets such as sales, pricing, promotions, SKU/customer hierarchies, market share or competitor data is an advantage. Experience with external data sources such as NielsenIQ, Circana or similar providers is beneficial. Knowledge of Python, R or other analytical tools is an advantage. Strong communication and collaboration skills, with the ability to work effectively across business and technical teams . We are looking for someone who combines hands-on analytical capability, commercial curiosity and a product mindset —someone who can support the team in understanding the business problem to analyzing the data, developing the right analytical approach and eventually turn the outcome into a scalable digital solution.

We Offer
Stable employment. On the market since 2008, 1800+ talents currently on board in 7 global sites. “Office as an option” model. You can choose to work remotely or in the office. Workation. Enjoy working from inspiring locations in line with our workation policy. Great Place to Work® certified employer. Flexibility regarding working hours and your preferred form of contract. Comprehensive online onboarding program with a “Buddy” from day 1. Cooperation with top-tier engineers and experts. Unlimited access to the Udemy learning platform from day 1. Certificate training programs. Lingarians earn 500+ technology certificates yearly. Upskilling support. Capability development programs, Competency Centers, knowledge sharing sessions, community webinars, 110+ training opportunities yearly. Grow as we grow as a company. 76% of our managers are internal promotions. A diverse, inclusive, and values-driven community. Autonomy to choose the way you work. We trust your ideas. Create our community together. Refer your friends to receive bonuses. Activities to support your well-being and health. Plenty of opportunities to donate to charities and support the environment. Modern office equipment. Purchased for you or available to borrow, depending on your location.