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Data Analyst
Cookie InformationData Analyst enhancing data insights across DSV's analytics platforms. Collaborating with various teams to ensure data quality and alignment with enterprise goals.
Tech Stack
Tools & technologiesAWSAzureCloudPython
About the role
Key responsibilities & impact- Support squads in complex data analysis and stakeholder situations
- Strengthen collaboration and ways of working between business, data, and engineering teams
- Validate and challenge data requirements and mappings to ensure alignment with the enterprise data platform vision
- Collaborate closely with solution architects, information architects, subject matter experts, business analysts, and squad leads
- Perform in-depth data profiling and analysis to uncover patterns, anomalies, and inconsistencies in data
- Develop and execute data validation and verification processes
- Create detailed reports and visualizations to communicate data profiling results and insights
Requirements
What you’ll need- 2-5 years of experience in roles such as Mapping Analyst, Data Analyst, Data Scientist or similar senior positions
- Solid experience working in agile delivery environments such as Scrum, Kanban , or Spotify-inspired models
- Proven ability to engage business and data stakeholders to capture business definitions, source data semantics, and transformation logic
- Experience working closely with data engineers, solution architects, information architects, and product owners in data platform or analytics environments
- Clear and precise communication in English, both verbally and in written documentation
- Comfortable managing competing priorities in a complex, global, and matrix organisation
- Familiar with data platforms, data warehousing or lakehouse concepts, business intelligence, and data transformation patterns
- Experience with data profiling tools (e.g. Databricks, or similar)
- Familiarity with data quality frameworks and concepts such as data cleansing, data governance, and master data management
- Exposure to logistics, supply chain, or transport domains is beneficial, but not required
- Knowledge of programming languages like Python or R for data analysis (preferred)
- Knowledge of cloud systems (e.g. AWS or Azure) is a plus
- Experience in software development is a plus
Benefits
Comp & perks- Sharing the costs of sports activities
- Private medical care
- Sharing the costs of foreign language classes
- Sharing the costs of professional training & courses
- Life insurance
- Integration events
- Corporate gym
- Corporate sports team
- Coffee / tea
- Parking space for employees
- Extra social benefits
- Holiday funds
- Christmas gifts
- Employee referral program
- Charity initiatives
- Bicycle parking
- Modern and ergonomic office
- Yoga in the office
ATS Keywords
✓ Tailor your resumeApplicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard Skills & Tools
data analysisdata profilingdata validationdata verificationdata transformationPythonRdata warehousingdata governancedata cleansing
Soft Skills
collaborationcommunicationstakeholder engagementprioritizationproblem-solving