Job Title: Data Analyst

Location: Munich, Germany

 

Company Overview:

We are a leading data analytics company headquartered in Munich, Germany, specializing in providing actionable insights and analytics solutions to businesses across various industries. Our team is composed of experienced professionals who are passionate about leveraging data to drive business growth and innovation. We are currently seeking a talented Data Analyst to join our team and contribute to the development of our analytics solutions.

 

Job Description:

As a Data Analyst, you will be responsible for analyzing large datasets, extracting meaningful insights, and developing actionable recommendations to drive business decisions. You will work closely with clients to understand their data needs, collect and preprocess data, and develop and deliver insightful analytics solutions. You will also be involved in research and experimentation to explore new techniques and algorithms to improve analysis and visualization capabilities.

 

Responsibilities:

Collaborate with clients and internal teams to understand business requirements and define data analytics problems and objectives.

Collect, preprocess, and analyze large datasets to extract relevant features and insights for analysis.

Develop and implement analytical models and algorithms using tools and languages such as Python, R, or SQL.

Generate actionable insights and recommendations based on data analysis to drive business decisions and improve performance.

Develop and deliver data visualizations, dashboards, and reports to communicate findings to stakeholders effectively.

Conduct research and experimentation to explore new techniques and algorithms to improve analysis and visualization capabilities.

Stay up-to-date with the latest developments in data analytics and visualization technologies.

 

Qualifications:

Bachelor’s degree in Computer Science, Statistics, Mathematics, or a related field.

2+ years of professional experience in data analysis or a related field.

Proficiency in programming languages such as Python or R.

Experience with data analysis and visualization tools such as Pandas, NumPy, Matplotlib, or Tableau.

Strong analytical and problem-solving skills.

Excellent communication and collaboration skills.