lingarogroup - RGM Data Analyst
Requirements
• 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.
Responsibilities
• 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.
Benefits
• 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.
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