Business Data Analyst

At Devoteam, we believe that technology, combined with strong human values, can actively drive change for the better. Discover how Tech for People is shaping the future, creating a positive impact on individuals and the world around us.

With over 25 years of passion for technology and a presence in 18+ countries across EMEA and beyond, we are committed to leveraging innovation, expertise, and human-centric values to make a difference.

True innovation is born from a powerful culture, fused with meaningful values.

Fair and courageous Everyone is treated fairly – this fuels bravery. At Devoteam, we always make fair decisions. We listen and are willing to be challenged, taking courageous decisions as a result. We help our employees to progress at every step and congratulate those who deserve it.

Ambition and results Ambition is nurtured at every step – this drives results. We are ambitious entrepreneurs with a taste for performance, growth and celebrating success. Commitments are always kept as we seek to achieve profitable growth to create value and employment. We aim to bring as much value as possible to our clients, at every touchpoint.

Learning and innovating Curiosity and learning are at our core – this stimulates innovation. At Devoteam, we are curious. We learn and embrace innovation constantly to meet challenges and build partnerships of excellence.

Caring and sharing A caring attitude is infused into our culture – this encourages sharing. We believe in the power of teams, we promote support and collaboration. At Devoteam, we care about our teams and want to work in a positive, productive environment. We support the development of talent and careers, knowing that success is the result of collaboration. Alone, we go faster, but together, we go further.

Because alone, we go faster – but together, we go further.

A Business Data Analyst translates business requirements into data-driven insights, serving as the bridge between data experts and business stakeholders. They apply analytical skills, domain knowledge, and business acumen to interpret complex data sets and produce actionable recommendations that directly impact strategic and operational business decisions. At this level, analysts independently manage analytical projects, collaborate with cross-functional teams, and clearly communicate insights to management and stakeholders, influencing strategic initiatives and driving tangible business outcomes.

• Advanced Excel
  
  Skills:
  
  Pivot tables, advanced formulas, scenario modeling.
• Proficiency with Data Querying: SQL for data retrieval and manipulation.
• Data Visualization:
  Tableau, Power BI, Looker to develop interactive dashboards.
• Analytical Programming:
  Familiarity with Python or R for exploratory analysis.
• Understanding of Data Warehousing:
  Experience with relational databases and data structures for efficient data extraction and interpretation.
• Statistical Methods:
  Capability to perform descriptive analytics, correlation, and regression analysis to interpret business performance.

• Business Acumen:
  Deep understanding of organizational processes, strategies, and KPIs to interpret data in relevant business contexts.
• Requirement Elicitation:
  Ability to gather, clarify, and refine business stakeholder needs and convert them into analytical tasks.
• Strategic Thinking:
  Align data analysis with business objectives, proactively identifying opportunities and recommending improvements.

• Strong Communication:
  Clearly explain analytical findings in straightforward business language, tailored to different stakeholders (including executives).
• Data Storytelling:
  Ability to craft compelling narratives from data to highlight actionable insights.
• Stakeholder Management:
  Comfortably interacting across departments, from technical teams to senior business executives.
• Problem-Solving and Critical Thinking:
  Proactively identify issues and approach business challenges analytically, offering practical solutions.

• Project Leadership:
  Independently manage end-to-end analytical projects from requirement gathering to delivering insights.
• Time Management:
  Efficiently prioritize multiple concurrent tasks or projects to meet deadlines and business expectations.
• Documentation and Reporting:
  Maintain comprehensive documentation of analytical methodologies and findings, ensuring transparency and reproducibility.

• One core certification (CCBA, CAP, or PMI-PBA)
• One complementary certification (optional but preferred)