Data Analyst

Eltrona Interdiffusion; Berlin; Hybrid; EUR 45.000 - 65.000; Vollzeit

Zusammenfassung

A leading telecommunications company in Berlin is seeking a Full-time Data Analyst to play a critical role in building its analytics ecosystem. The successful candidate will collect and analyze data, transform insights for stakeholders, and develop reporting tools using R and Python. Strong skills in SQL and familiarity with BI tools like Power BI are essential. The role offers a permanent contract, flexible working hours, and benefits including meal vouchers and a company subscription.

Leistungen

Flexible working hours

Meal vouchers

Free company subscription

Qualifikationen

• Strong proficiency in R for data analysis.
• Good knowledge of SQL for structured data querying.
• Experience with BI and data visualization tools like Power BI or Tableau.

Aufgaben

• Collect, structure, validate, and analyze data from multiple sources.
• Transform raw data into actionable insights for business stakeholders.
• Develop and maintain analytics assets using R and Python.

Kenntnisse

R

SQL

Python

BI tools (Power BI, Tableau, etc.)

Data modeling

Statistical analysis

Problem solving

Communication

Jobbeschreibung

Eltrona is the historic cable television provider in Luxembourg. The company is 100% owned by the Belgian cable company Telenet (a subsidiary of Liberty Global). Eltrona operates a hybrid fiber-coaxial network that can deliver ultra-high-speed internet to more than 80% of households and businesses in Luxembourg.

The company’s mission is to become the leading alternative internet service provider, significantly increase its market share, and transform into a high-performing telecommunications company.

It is in this context that we are looking for a Full time Data Analyst

The Data Analyst will play a foundational role in building our analytics and data ecosystem from the ground up. This position bridges business needs, analytics, and data engineering, and ensures continuity of existing R and Python-based analytical scripts, while enabling scalable reporting and self-service analytics across departments.

Key Responsibilities

• Collect, structure, validate, and analyze internal and external data from multiple sources
• Transform raw and fragmented data into clear, reliable, and actionable insights for business stakeholders
• Ensure insights are presented in a tangible, concise, and audience-appropriate way to support and influence deci-sion-making
• Develop, maintain, and evolve analytics assets using R and Python (existing scripts and new developments)
• Design and build dashboards, reports, and KPI frameworks covering metrics requested by all departments
• Enable and support self-service analytics while ensuring data consistency and quality
• Actively contribute to the definition and implementation of the company’s Data Warehouse, starting from a non-existent or low-maturity state
• Collaborate with IT and business teams to define data models, KPIs, metrics, and data quality rules
• Identify trends, patterns, and forecasts using statistical and analytical techniques
• Automate data preparation, analysis, and reporting processes where relevant
• Document analytics processes, datasets, and assumptions to ensure transparency and reusability
• Support management and departments with data-driven analysis and ad-hoc requests
• Collaborate closely with the IT Manager and technical teams to align analytics, infrastructure and data strategy.

Technical and Soft Skills

• Strong proficiency in R (mandatory) for data analysis, scripting, and automation
• Good knowledge of SQL and structured data querying
• Knowing Python for analytics, data processing, and automation is an advantage
• Experience with BI and data visualization tools (e.g. Power BI, Tableau, Looker or equivalent)
• Strong understanding of data modeling, KPIs, metrics definition, and reporting logic
• Familiarity with statistical analysis, forecasting techniques, and trend analysis
• Ability to design scalable analytics assets aligned with future Data Warehouse architectures
• Strong analytical and problem-solving mindset
• Ability to communicate complex data insights clearly to non-technical audiences
• Comfortable working with ambiguity and evolving requirements
• Autonomous, proactive, and results-oriented
• Strong sense of ownership and accountability
• Ability to manage multiple requests from different departments
• Structured, organized, and detail-oriented
• Collaborative mindset and ability to work in cross-functional teams

Required and Preferred Experience

• Experience in Business Intelligence, Data Analytics, or Analyt-ics Engineering roles
• Hands-on experience with R (mandatory) andknowledge with Python for data analysis
• Experience designing and maintaining dashboards, reports,and KPI frameworks
• Experience working with multiple, heterogeneous data sources
• Experience translating business needs into actionable insights Experience contributing to data foundations or analytics plat-form setups (including early-stage Data Warehouse initia-tives)
• Experience collaborating with IT and business stakeholders

What we offer

• Permanent contract (CDI)
• Flexible working hours, with the possibility of remote work
• Dynamic work atmosphere in a growing company
• Meal vouchers
• Extra-legal benefits, including a free Eltrona subscription