(Senior) Data Analyst gesucht in Berlin
Clariness GmbH
Berlin, Germany
2 days ago
Role details
Contract type
Internship / Graduate position Employment type
Full-time (> 32 hours) Working hours
Regular working hours Languages
English Experience level
SeniorJob location
Berlin, Germany
Tech stack
A/B testing
Data analysis
Big Data
Google BigQuery
Data Integration
ETL
Data Visualization
Relational Databases
Python
PostgreSQL
MySQL
NumPy
Power BI
SQL Databases
Tableau
Snowflake
Pandas
Information Technology
Looker Analytics
Job description
This role focuses on transforming data into meaningful insights that help teams make confident, informed decisions. You'll contribute to business impact by building intuitive dashboards, conducting thoughtful analyses, and working closely with stakeholders to ensure data is accurate, relevant, and actionable across the organization., * Building, maintaining, and continuously improving interactive dashboards and reports for fast, data-driven decision-making.
- Creating clear and engaging data visualizations that make insights easy to understand and act on.
- Conducting in-depth analyses based on business requirements and translating findings into practical recommendations.
- Collaborating with stakeholders to clarify, refine, and challenge data requests to ensure relevance and accuracy.
- Partnering with cross-functional teams to support strategic initiatives with data-driven insights.
- Identifying trends, patterns, and anomalies using advanced analytics techniques.
- Ensuring high data quality by validating sources, documenting assumptions, and proactively resolving inconsistencies.
Requirements
- 2-3 years of experience as a Data or BI Analyst (or equivalent experience gained through internships, research projects, or part-time roles).
- Bachelor's degree in a quantitative field (e.g. computer science, mathematics, statistics, engineering, physics, or similar).
- Experience with data visualization tools such as Tableau, Power BI, Looker, or similar.
- Strong SQL skills and experience working with relational databases (e.g. MySQL, PostgreSQL, Snowflake, BigQuery).
- Ability to analyze large datasets and turn data into clear, actionable insights.
- Understanding of ETL processes and data integration.
- Familiarity with statistics, A/B testing, or data modelling; experience with Python (pandas, NumPy) or R is a plus.
- Strong communication skills and business mindset, with the ability to explain insights to non-technical stakeholders.
Benefits & conditions
You may ask now, why should I work for you? Let us give you a few reasons - and you'll learn more during the process.
- A varied and exciting job with a lot of personal responsibility in an international company, where you can develop and expand your skills.
- Professional and personal development opportunities - incl. personal development budget.
- Flexible working hours and mobile working.
- Regular team events and open feedback culture.
- A versatile field of activity and challenging projects.
- A supportive and open company culture, providing the opportunity to collaborate with a diverse and professional team.
- Impact healthcare by accelerating medical innovation through improved access to clinical trials, potentially bringing needed treatments to patients faster.