Senior Data Analyst

WHAT DO SENIOR DATA ANALYSTS DO @ METRUM (part of Resultance Group)?

Our Senior Data Analysts are analytical problem-solvers with a strong business mindset and a passion for turning data into impact.

As specialists in Data Reporting & Visualization, they turn complex data into meaningful insights, enabling organizations to make data-driven decisions and optimize their performance. With expertise in data analysis and data visualization tools (like Power BI), they design and implement cutting-edge reporting solutions that enhance productivity and streamline decision-making.

At Metrum, the technical arm of Resultance Group, you will work at the heart of data-driven transformation, supporting organizations in optimizing performance through high-quality analytics, reporting, and insights.

Sounds exciting?

And more precisely, you will help organizations leverage data to drive operational excellence and smarter decision-making.

WHAT WILL YOU DO ?

Data & Analytics

• Lead complex data analyses to answer strategic business questions

• Perform advanced exploratory data analysis (EDA) to identify trends, risks, and opportunities

• Define and monitor KPIs aligned with business objectives

• Design, build, and maintain executive-level dashboards and reports

• Translate analytical findings into clear, actionable recommendations for stakeholders
  
  

Advanced Analytics & Modeling

• Build and maintain analytical models (forecasting, segmentation, cohort analysis)

• Conduct A/B testing and experimentation analysis

• Define analytical frameworks and methodologies for client use cases

• Review and validate analytical work produced by junior analysts

• Ensure robustness, consistency, and interpretability of analyses
  
  

Data Engineering & Data Modeling

• Design, build, and maintain reliable data pipelines (batch and streaming)

• Develop and optimize complex SQL transformations on large-scale data platforms

• Implement data models optimized for analytics and performance

• Ensure data quality, lineage, and consistency across the data stack

• Collaborate closely with platform and infrastructure teams
  
  

Tools, Platforms & Analytics Stack

• Work hands-on with modern data stacks (Synapse, Databricks, Snowflake, etc.)

• Build and maintain analytics infrastructure supporting self-service BI

• Implement orchestration and transformation frameworks

• Contribute to CI/CD practices for analytics and data pipelines

• Evaluate and recommend tools and architectural improvements
  
  

Business Intelligence & Data Visualization

• Design and maintain advanced dashboards for operational and executive audiences

• Define visualization standards and data storytelling best practices

• Ensure dashboards are powered by scalable, well-modeled data sources

• Enable self-service analytics for business teams

• Monitor usage and continuously improve analytics products
  
  

Client & Stakeholder Engagement

• Act as the primary analytics point of contact for clients

• Understand business needs and translate them into analytical requirements

• Present insights and recommendations to senior stakeholders and executives

• Support decision-making through data storytelling and visualization

• Contribute to scoping, planning, and delivery of analytics engagements
  
  

Leadership, Mentoring & Quality

• Mentor junior data analysts

• Contribute to define analytics best practices and standards within the organization

• Review deliverables to ensure quality, clarity, and business relevance

• Contribute to internal knowledge sharing and training initiatives

• Promote a data-driven culture within client organizations
  
  

Transversal & Strategic Contributions

• Support pre-sales activities (use-case design, demos, proposals)

• Contribute to analytics strategy and roadmap definition for clients

• Participate in internal R&D or innovation initiatives

• Drive continuous improvement of analytics processes and workflows

• Represent the analytics practice in internal or external communities
  
  

OK, AND HOW CAN YOU GET THERE?

• You hold a Master’s degree in Data Science, Business Analytics, Economics, Engineering, Computer Science, or a related field

• You are fluent in French and English (any other languages such as German are strong assets)

• You have 2-3 years' experience in:
  
  

SQL and relational databases

SQL Server / SQL Server Management Studio

SSIS, SSAS, SSRS

Power BI or equivalent

T-SQL, PL/SQL, or equivalent language

Use of cloud environments (Azure, AWS, GCP)

Code versioning with Git

Setting up collaborative notebooks (Databricks, Jupyter)

Introduction to MLOps best practices (testing, simple monitoring)

• Translating complex data into clear, actionable insights

• You are comfortable working with stakeholders and understanding business needs

• You enjoy working in a collaborative, consulting-oriented environment

• You are curious, structured, and eager to grow your expertise
  
  

WHY JOIN METRUM (RESULTANCE GROUP)?

APPLY APPLY APPLY, YOUR FUTURE LIES HERE!

• A permanent contract in Luxembourg

• Competitive salary package with attractive benefits (such as a company car, fuel card, meal vouchers, health insurance, and a bonus based on your performance)

• The opportunity to work on high-impact data projects across multiple industries

• Strong career and skill development within a growing data & analytics practice

• Continuous learning opportunities and access to expert mentors

• A supportive, people-first culture within a recognized consulting group

• Hybrid working model (office and clients’ offices based), with flexibility and trust