Key Responsibilities:
1. Data Analysis and Reporting:
- Gather, clean, and analyze data to support business operations and decision-making.
- Design, develop, and maintain custom reports and dashboards using tools like Power BI, Qlik, or similar.
- Ensure data integrity and accuracy in all reports by validating data sources and performing thorough checks.
2. Data Extraction and Transformation:
- Perform data transformation and cleaning using Python for deeper analysis and reporting.
- Automate the extraction, transformation, and loading (ETL) of data using Python scripts or any advanced automation tools to streamline processes.
3. Business Intelligence & Insights:
- Work with business stakeholders to define key performance indicators (KPIs) and metrics for reporting.
- Develop and provide ad-hoc reports to various departments based on business needs.
- Create and deliver insights through data visualization to help teams understand trends and patterns.
4. Collaboration and Communication:
- Partner with internal teams to understand their reporting and data analysis requirements.
- Translate complex data sets into clear, understandable reports for non-technical stakeholders.
- Communicate insights and findings effectively, providing recommendations to enhance business outcomes.
5. Process Improvement:
- Identify opportunities to optimize reporting processes through automation and improved data management practices.
- Collaborate with IT and data engineering teams to enhance data architecture for better reporting and analytics.
Qualifications:
1. Technical Skills:
a. Data Analysis: Proficiency in data analysis using Python (Pandas, NumPy) and data extraction and manipulation.
b. Reporting Tools: Experience with reporting and business intelligence tools like Power BI, Qlik, or similar.
c. ETL: Familiarity with ETL processes to automate data integration tasks.
d. Data Visualization: Strong skills in creating visual representations of data for stakeholders.
e. Familiarity with cloud platforms such as AWS, Azure, or Google Cloud for data handling.
2. Experience:
- 3+ years of experience in data analysis and reporting roles.
- Proven ability to automate reporting processes using Python and SQL.
- Experience working with large data sets and providing meaningful insights from complex data.
- Demonstrated success in delivering accurate, actionable reports to business stakeholders.
3. Soft Skills:
- Strong analytical and problem-solving abilities.
- Excellent proficiency in using Microsoft Office Applications (i.e. Excel, Words, PowerPoint, Outlook etc.).
- Excellent communication skills, with the ability to explain complex data in simple terms.
- Attention to detail and a commitment to delivering high-quality work.
- Ability to work collaboratively across teams and manage multiple projects.
4. Preferred Skills:
- Experience with version control systems (e.g., Git).
- Knowledge of statistical analysis and machine learning models.
- Knowledge on Vehicle System
- German Language
- Familiarity with data governance and best practices for data security.