Big Data Analyst (m/f/d) 80-100%

We are seeking a skilled and detail-oriented Big Data Analyst to join our client ´s team. As a Big Data Analyst, you will analyzing large volumes of complex data to extract meaningful insights and support data-driven decision making. Your expertise in data analysis, statistical modeling, and data visualization will contribute to the successful delivery of actionable business intelligence. If you have a strong analytical mindset, a passion for uncovering patterns in big data, and the ability to communicate insights effectively, we invite you to apply for this exciting opportunity.

Responsibilities:

• Analyze large and complex datasets to identify patterns, trends, and correlations using statistical techniques and machine learning algorithms
• Conduct exploratory data analysis to discover insights and potential areas for improvement
• Develop and implement data models, algorithms, and data visualization techniques to present findings in a clear and compelling manner
• Collaborate with cross-functional teams to define data requirements and ensure data integrity and quality
• Utilize big data technologies and tools to extract, transform, and load (ETL) data from various sources for analysis
• Perform data profiling, data cleansing, and data validation to ensure accuracy and reliability of data
• Develop and maintain dashboards, reports, and visualizations to communicate key insights to stakeholders
• Stay up-to-date with emerging trends and advancements in big data analytics and recommend innovative approaches for data analysis
• Collaborate with data engineers and data scientists to optimize data infrastructure and analytics processes
• Present data-driven insights and recommendations to stakeholders at different levels of the organization

Qualifications:

• Bachelor's degree in Computer Science, Statistics, Mathematics, or a related field. Advanced degree is a plus
• Proven experience as a Big Data Analyst or in a similar analytical role, demonstrating a strong understanding of big data analytics concepts and methodologies
• Proficiency in programming languages such as Python or R for data manipulation, analysis, and statistical modeling
• Experience with big data technologies such as Hadoop, Spark, or similar tools for data processing and analysis
• Strong knowledge of data visualization tools such as Tableau, Power BI, or QlikView to create compelling visual representations of data
• Familiarity with statistical modeling, machine learning algorithms, and data mining techniques
• Understanding of data warehousing concepts and ETL processes
• Strong problem-solving skills and attention to detail in analyzing and interpreting complex data sets
• Excellent communication and presentation skills to effectively convey insights and recommendations to stakeholders
• Ability to work in a fast-paced, dynamic environment and manage multiple tasks simultaneously
• German B2 / English B2 level