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Core Competencies
Role fitCore Competencies
Use this summary to align your resume positioning with the role.
Demonstrates expertise in data analysis, KPI design, and the development of interactive dashboards to drive business insights. Proficient in translating business needs into actionable data requirements while fostering a data-driven culture across the organization.
Highest-signal resume keywords
Data AnalysisKPI DesignSQLRPython
ATS Keywords
Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills
Data ModellingBusiness Process ImprovementData Quality ManagementAnalytical ThinkingMachine Learning
Soft Skills
Strong Communication SkillsResults-OrientedProactiveIndependent
Tools & Technologies
Reporting ToolsInteractive DashboardsSAP
Industry Keywords
Business IntelligenceData-Driven CultureStakeholder EngagementActionable Insights
Tech Stack
Tools & technologiesPythonSQL
About the role
Key responsibilities & impact- Act as a bridge between developers and business stakeholders by translating business needs into data requirements
- Design, test, and implement KPIs, metrics, and data models
- Develop interactive dashboards and reports
- Support implementation and adoption of reporting tools, including training and documentation
- Contribute to building a data-driven culture across the organization
- Analyze business KPIs including sales pipeline, revenues, costs, and churn
- Highlight key performance trends
- Prepare and present actionable insights to senior stakeholders
- Identify and improve business processes based on analytical findings
- Support business cases with data models and provide insight-driven recommendations
- Flag and resolve data quality issues affecting business reporting
- Collaborate with business units and development teams to turn data into actionable insights and data products
- Take end-to-end responsibility from data requirement translation to communicating analytical findings
Requirements
What you’ll need- Bachelor's or Master’s degree in a relevant field (Economics, Business, (Data) Science, etc.)
- Preferably 2–4 years of relevant data analysis experience
- Ability to switch between high-level analytical thinking, constructing hypotheses, and detailed data modelling
- Strong analytical capabilities
- Working experience with either SQL, R, or Python
- Strong communication skills
- Fluency in English; Dutch is a plus
- Results-oriented, independent, proactive, and self-starting
- Machine Learning experience is a plus
- SAP experience is a plus
Benefits
Comp & perks- Participation in annual company bonus scheme and company pension
- Internet allowance
- Working from home policy
- Work from abroad: Up to 4 weeks per year, following policy guidelines
- Lease bike plan
- 25 days of paid time off (and the option to buy or sell up to 5 more days)
- Free lunch, parking, and fresh fruit provided when in the office
- Access to the Leaseweb Academy, a personalized learning platform offering a variety of studies, (Dutch) courses, and trainings
- Fun events year-round – from virtual pub quizzes to summer parties, company runs, quarterly hackathons and much more
- Monthly after work drinks
- A multicultural work environment
- Plenty of personal and professional growth opportunities
