As a Data Analyst focused on data visualization and commercial analytics, you’ll support strategic decisions that shape the global customer experience and drive profitable growth. This is a full-time assignment running from October 5th, 2025, through March 31st, 2026.

About the Role

You’ll be part of the Analytics & BI team, working closely with stakeholders across functions to lead data-driven initiatives. This role combines hands-on analysis with business impact, giving you the opportunity to influence strategic decisions through clear and actionable insights. You will report to the Analytics & BI lead and collaborate cross-functionally with commercial and digital teams.

Responsibilities

• Define analysis plans that support retail strategy, omni-channel growth, and customer behavior insights
• Conduct structured, end-to-end analytical projects to support commercial initiatives
• Translate complex business needs into clear, data-backed recommendations for senior stakeholders
• Use SQL, R, and/or Python to explore, analyze, and visualize large-scale internal and external datasets
• Deliver real-time insights through dashboards and visual storytelling that inform key business decisions
• Perform ad-hoc analyses to address emerging business questions
• Collaborate across teams to share findings, refine insights, and align on priorities

About You

You’re a mid- to senior-level Data Analyst with a solid foundation in data exploration and visualization. Your ability to communicate insights clearly, coupled with a sharp business mindset, makes you a valued partner to commercial stakeholders. You thrive in a fast-paced environment and are motivated by the impact your work can have on the customer journey and business growth.

Experience and Skills

• 5+ years of experience in data, insight, or business analyst roles, either in-house or consulting
• Proven track record of translating business challenges into structured analytical solutions
• Proficiency in SQL for working with complex datasets
• Experience using R or Python for data modeling, analysis, and visualization
• Strong skills in data visualization and storytelling through dashboards or reports
• Excellent communication skills, with experience presenting insights to senior stakeholders
• Degree in a quantitative field such as engineering, economics, statistics, business, or finance

About the assignment

For this assignment you will be hired as a full-time consultant by Digitalenta. We offer our consultants a generous package including healthcare allowance, insurance policy, paid vacation days and pension savings. In addition, you'll also have a dedicated consultant manager available throughout your employment with us, in addition to optional networking activities with our network of consultants.