Full Time
R
Quick Summary
Join Rahantech GmbH in Berlin as a Data Analyst/Data Engineer, where you'll leverage cutting-edge technologies to create impactful dashboards and advise stakeholders. This role offers a unique opportunity to work with large datasets, design automated data flows, and contribute to predictive modeling, directly influencing business decisions.
Key Responsibilities
- Create dashboards and advise diverse stakeholders to answer business questions using the latest technologies.
- Design and implement automated data flows (ETL) and perform extensive data migrations.
- Develop, optimize, and maintain data storage solutions, including relational and NoSQL databases.
Requirements
- University degree in Data Science, Statistics, Mathematics, Computer Science, or a related field.
- Proficiency in data analysis tools such as SQL, Excel, Python, and R.
- Familiarity with data visualization tools such as Power BI, Tableau, or Dundas BI.
Benefits
- Competitive compensation.
- Professional growth opportunities.
- Remote work opportunity.
Required Skills
SQL
Python
R
Data Visualization
Power BI
Tableau
MySQL
ETL
Data Analysis
Data Modeling
Estimated Salary Range for Data Analyst / Data Engineer in Berlin
BELOW AVERAGE
< $80k/yr
✨
AVERAGE RANGE
$80k - $98k
/year
ABOVE AVERAGE
> $98k/yr
💡 Salary estimates based on aggregated data from public sources. Actual salaries may vary.
Job Description
Tasks
You create dashboards and advise diverse stakeholders to find answers to their business questions by utilizing the latest technologies
You work with large volumes of data in relational databases, create custom analyses and optimize SQL queries
You design and implement automated data flows (ETL) and perform extensive data migrations
Develop, optimize and maintain data storage solutions, including relational and NoSQL databases
Develop predictive models to forecast future trends and outcomes
You ensure the accuracy and timeliness of project planning and proactively engage with all stakeholders
Requirements
You have an university degree in Data Science, Statistics, Mathematics, Computer Science or a related field
Proficiency in data analysis tools and software such as SQL, Excel, Python and R
You are familiar with data visualization tools such as Power BI, Tableau, or Dundas BI
You are proficient in working with relational databases, including MySQL
Strong analytical and problem-solving skills with a keen attention to detail
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