Data Analyst
Answer the questions that move the business.
Join a curated pool of Data Analysts considered for analysis, insight and decision-support missions with European organizations, through DSB Data Delivery.
- Seniority
- Confirmed
- Context
- European Data delivery
- Review
- By practitioners
- Application
- About 4 minutes
Why this network exists
Insight that lands with the people who decide
Modernized platforms only pay off when someone turns them into answers. This talent pool exists so that DSB can bring analysts who frame the right question, work rigorously and communicate findings that lead to decisions.
Missions vary in scope and duration and are proposed individually. Joining the pool means being considered when a relevant mission opens. It is not a commitment to a specific engagement, and not every applicant will access these missions.
Capability areas this pool supports
- Analytics modernization
- Data products
- Governance programs
- Delivery backlog acceleration
What this pool is built around
- Analysis for decisions, not decks
- SQL-first and tool-agnostic
- Practitioner review of every profile
- Structured qualification for every candidate
- Assessment only after human screening
Typical missions
The work you would be considered for
Illustrative examples of the analysis work behind DSB missions. Each mission defines its own scope.
Frame business questions
Turn a vague request into an answerable question with a clear scope.
Explore and analyze
Query, profile and analyze Data rigorously, with assumptions stated.
Build KPI frameworks
Definitions, ownership and targets that a team can steer by.
Deliver recurring reporting
Reliable, documented reporting that survives your absence.
Validate Data quality
Spot, quantify and escalate the problems that would mislead a decision.
Communicate findings
Clear narratives for business and leadership audiences.
Expertise we value
What relevance looks like
The list below reflects what DSB analysis missions most often need, not a checklist every candidate must tick.
Core relevance
Strong, recent hands-on experience in most of these.
- SQL
- A BI tool such as Power BI or Tableau
- Statistics fundamentals
- Data storytelling
Context-dependent
Valuable on specific missions; not required to join the pool.
- Requirements gathering with business teams
- Python for analysis
- dbt
- Experimentation and A/B testing
- Looker
- Sector knowledge: retail, industrial, real estate
Each mission specifies its own stack. Practitioner review looks at depth and judgment, not keyword matches.
What we look for
Beyond the query
The qualities DSB practitioners look for in a Data Analyst.
Curiosity
You dig until the number makes sense, then check it again.
Rigor
Your assumptions are explicit and your methods are reproducible.
Communication
You lead with the finding and adapt to the audience.
Autonomy
You can take a question from a business owner to a delivered answer.
Delivery mindset
You prefer a useful answer today to a perfect model later.
How it works
A selective process. A human decision.
Every application follows the same structured path. Not every application progresses, and at each step people decide.
- 01
Application
Share who you are, your experience and your main skills. About 4 minutes.
- 02
Initial qualification
DSB reviews your profile against the needs of the relevant talent pool.
- 03
Human screening call
A conversation with a DSB practitioner about your experience and expectations.
- 04
Technical or domain assessment
A focused assessment of your expertise, adapted to your talent pool.
- 05
DSB Verified
Profiles that complete qualification and assessment may join the verified talent pool.
- 06
Relevant opportunities
Verified profiles are considered for missions matching their expertise and availability.
Ready to apply?
Apply as a Data Analyst
Share your experience and main skills in about 4 minutes. DSB practitioners review every application.
No account required. Not every application progresses to the next step.