Senior BI/Data Analyst

Rabot Energy; Berlin; Hybrid; EUR 60.000 - 80.000; Vollzeit

Zusammenfassung

A dynamic energy firm in Berlin seeks a Senior BI/Data Analyst to develop data solutions and provide actionable insights for decision-making across departments. Candidates should have expertise in BI tools like Metabase, strong SQL skills, and experience with data warehousing. The role offers remote working options and a vibrant startup atmosphere. Join a team that values collaboration and driving data-informed decisions.

Leistungen

Flexible working hours

Urban Sports Club membership

Christmas Eve and New Year’s Eve off

Workation from anywhere in the EU

Qualifikationen

• Proven track record in designing and developing data solutions.
• Advanced proficiency in BI tools like Metabase or Power BI.
• Strong SQL skills for data extraction and manipulation.

Aufgaben

• Design and develop data solutions, dashboards and reports.
• Build data pipelines for visualizations and analytics.
• Analyze datasets and provide strategic recommendations.

Kenntnisse

Data visualization

SQL

Data analysis

Python

BI tools (Metabase, Power BI, Looker)

Tools

GitHub

Jobbeschreibung

Why us?

Rabot Energy is looking for a Senior BI/Data Analyst to take our data insights to the next level. With our fast company and consumer growth, the demand for high-quality insights rises across the company. We are looking for an experienced analyst to join our Data team and become a trusted partner for our stakeholders. This role will be key in delivering actionable insights that drive strategic decision-making across all departments.

What can you bring

• Professional Experience: Proven track record in designing and developing data solutions, dashboards and reports together with top-tier stakeholders.
• Technical Expertise: Advanced proficiency in BI tools, preferably Metabase, Power BI, or Looker.
• Programming Knowledge: Knowledge of Python is preferred, as well as working with version control such as GitHub.
• SQL Mastery: Strong SQL skills for data extraction, manipulation, aggregation and optimization.
• Data Warehousing & ETL: Experience working with data warehouses, dbt, ETL processes and big data technologies.
• Analytical Mindset: Ability to analyze large and complex datasets, extract key insights and drive data-informed decisions.
• Clear Communication: Ability to present complex data insights in an understandable way to senior management and non-technical teams.
• Language Skills: Fluent in English. Knowledge of German is a plus.

Lacking experience in some of the areas mentioned? No need for concern – we are committed to providing you with the necessary support for learning, training, and on-the-job coaching.

Our Benefits

• Flexible working hours and the freedom to work remotely, offering a work-life balance that suits your lifestyle, even from home.
• Commitment to your growth: comprehensive training, regular team meetings, and open, transparent communication to keep you informed and engaged.
• Urban Sports Club membership to maintain physical well-being.
• Deutsche Bahn Ticket.
• Vibrant startup atmosphere with a spirited team, exciting team events, and an Employees Recruit Employees program.
• Holidays: Christmas Eve and New Year’s Eve off to make cherished memories.
• Workation: two weeks per year working from anywhere in the EU.

For all our positions, we are open to providing flexible work arrangements to accommodate the unique needs of everyone.

Your Impact

• Design and develop data solutions, dashboards and reports to provide meaningful insights to business stakeholders.
• Build data pipelines that empower visualizations and serve as the base for advanced analytics.
• Play a key role in structuring and defining our Data Warehouse to ensure scalability and data integrity.
• Guide and mentor team members and peers, providing technical QA and ensuring best practices in data visualization and reporting.
• Analyze complex datasets and translate them into clear, strategic recommendations for leadership and cross-functional teams.
• Work closely with different departments to understand data needs, ensuring insights are accessible and impactful for decision-making.