Data & Insight Specialist
Technology, Data & Digital · Data, AI & Analytics · Data Analysis · Business Intelligence · Data Engineering
In short
Responsibilities
- Own and manage a portfolio of commercial data products, reporting solutions, and analytical capabilities.
- Integrate and work with data from multiple internal and external sources to deliver reliable and actionable business insights.
- Develop and continuously improve dashboards, reporting solutions, and analytical tools.
- Manage syndicated market and shopper data from external partners.
- Own relationships with key data suppliers, including budgets, contracts, and commercial negotiations.
- Partner closely with Category Development, Sales, Marketing, and other stakeholders to translate business needs.
- Turn data into meaningful category, shopper, and commercial insights.
- Conduct ad hoc analyses and provide data-driven recommendations.
- Continuously identify opportunities to improve and automate data processes and analytical capabilities.
Requirements
- 5+ years of relevant experience in commercial data products, business intelligence, analytics product management, information management, digital enablement, or a related field.
- Experience acting as the bridge between business functions and IT or data teams, including requirement definition, prioritization, and solution delivery.
- Strong commercial understanding, preferably from FMCG, retail, or consumer goods, and knowledge of market, shopper, or customer data.
- Experience owning or developing a portfolio, roadmap, or lifecycle for data, reporting, analytics, or digital products.
- Strong stakeholder management skills and the ability to influence decisions and align competing needs.
- Experience managing external data or technology suppliers.
- Technical fluency in SQL, Power BI, data models, data integrations, modern cloud-based analytics environments, and data-quality principles.
- Understanding of commercial KPIs and decision processes.
- A relevant degree in Business, Economics, Information Systems, Engineering, Computer Science, Data Science, Mathematics, Statistics, or equivalent practical experience.
- Strong communication skills in English.
Desired Qualifications
- Swedish is an advantage.
- Experience with syndicated market, shopper, or retailer data and related providers.
- Experience driving adoption, capability building, or change for data and digital solutions.
- Familiarity with modern analytics, automation, AI, or predictive use cases in a commercial setting.
- Experience working in an international or matrix organization.
Benefits
- Flexible working model, Power of the Mix, combining office collaboration with remote work flexibility.
- Opportunities to develop professional skills, take on new challenges, and build a career.
- Collaborative and supportive international organization.
- Culture built on trust, cooperation, and a shared ambition.
- Competitive working conditions and collective agreements.
- Commitment to safety and working environment.
- Opportunities to make a meaningful impact.
Skills
About Arla
We are more than 23,000 colleagues across 39 countries and 7,624 dairy farmer-owners in Denmark, Sweden, United Kingdom, Germany, Belgium, Luxembourg, and the Netherlands. We aim to create the future of dairy, to bring healthy and sustainable dairy products to people across the world, and to lead the transition towards sustainable dairy farming and production. We work continuously on the farms, at the dairies, and in our administration to reduce our carbon footprint and environmental impact. We are committed to champion good food habits and inspire a healthy life. We collaborate with NGOs and…
Company
ArlaJob Posted
4 days ago
Employment Type
Full Time
Work mode
Hybrid
Experience Level
Mid-Senior
Locations
Solna, Sweden
Applicants
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