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Data Analyst

               Verified: verified profile

City: Cologne

Postal Code: 50679

Start date: 25.07.2025

Location: On-site only

Type: Full-time

German: Required

Level: A1

Job description

Job title: Data Analyst

Data Collection and Processing

• Extract, transform, and load (ETL) data from various sources.

• Clean and preprocess data to ensure accuracy and consistency.

• Develop scripts and workflows to automate data collection and processing tasks.

Data Analysis and Interpretation:

• Perform exploratory data analysis to uncover trends, patterns, and anomalies.

• Apply statistical and analytical techniques to derive insights from complex datasets.

• Conduct hypothesis testing and predictive modeling to support business objectives.


Data Visualization and Reporting

• Create visually appealing and interactive dashboards, reports, and presentations.

• Communicate findings and recommendations to stakeholders using data visualization tools.

• Collaborate with cross-functional teams to design and deliver actionable insights.


Data Quality Assurance

• Validate data accuracy, completeness, and integrity.

• Identify and address data quality issues and discrepancies.

• Implement data quality controls and monitoring mechanisms.

Business Intelligence and Decision Support

• Partner with business units to define key performance indicators (KPIs) and metrics.

• Analyze business processes and operations to identify opportunities for improvement.

• Provide decision support through ad-hoc analysis and scenario modeling.

Job specifications

• proven experience in data analysis, business intelligence, or related roles.

• Proficiency in data analysis tools and programming languages (e.g., SQL, Python, R, etc.).

• Strong analytical and problem-solving skills with attention to detail.

• Excellent communication and presentation abilities.

• Ability to work independently and collaboratively in a fast-paced environment.

• Experience with data visualization tools (e.g., Tableau, Power BI, etc.) is a plus.

• Knowledge of machine learning and data mining techniques is desirable.

Contact Details

Jane Doe (123) 456-7890 | jane.doe@email.com | recruiting.com