Consumer Data Analyst

Description

You enjoy working out problems with data. This role involves working with teams across the globe, supporting key business decisions, and improving the quality and speed of our data operations.

The company is a consumer intelligence firm that shows how people buy and where growth can come from. It merged with GfK in 2023 and is a portfolio company of Advent International. It operates in more than 100 markets, and those markets account for over 90% of people on the planet.

Responsibilities

• Work with structured and unstructured data to inform daily operations and business decisions.
• Check data for completeness, accuracy and consistency using BI tools and SQL.
• Investigate anomalies and fix data quality problems alongside local and global colleagues.
• Reply to questions from clients and internal staff with precise, prompt answers.
• Join daily stand-ups to report progress and blockers and stay aligned with team priorities.
• Make sure deliverables arrive on schedule and match client expectations and internal KPIs.
• Spot repetitive tasks that could be automated and take part in those efforts.
• Help write process documentation, build QA dashboards and improve internal tools.
• Assist with strategic projects that refine operational workflows.
• Coordinate with product managers, analysts, and technical and business teams.
• Own sub-projects and drive task execution across global teams.
• Keep operational documentation and SOPs clear and current.

Requirements

• 2-3 years of experience in data operations, analytics or a related field.
• Strong SQL skills.
• Proven use of data visualization tools such as Tableau, Looker or Power BI.
• Analytical thinking and careful attention to detail, since others rely on your data to make decisions.
• Excellent communication skills.
• Fluent English, spoken and written.
• Able to work independently and manage several priorities at once.
• A commercial, business-focused mindset.
• Knowledge of e-commerce data and industry trends.
• Exposure to agile workflows or data product development.

Conditions

Hybrid setup: 3 days working from home and 2 days in the office each week.

The office is close to the city centre and easy to reach by public transport.

The recruitment process may use AI tools for tasks such as screening, assessments and scheduling, but only humans make final hiring decisions.

Only shortlisted candidates will be invited to an interview.

Application documents are handled with strict confidentiality.

Benefits

• Meal vouchers worth € 62.
• Supplementary medical insurance covering preventive care, outpatient and inpatient treatment, and medications and medical products.
• Life insurance.
• Multisport card, self-funded by the employee.
• 3 additional days of paid leave if no leave from the previous year is overdue.
• Free access to LinkedIn Learning.
• Volunteer time off through Global Volunteer Day.
• Free Employee Assistance Program offering confidential counselling for emotional wellbeing.
• Development and relocation programmes to other departments or countries once you are established in your field.
• Stable employment in an international setting with an established market position.