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
Roman Bättig, Talent Manager
+41 76 415 82 22
rb@cybergap.io