Senior Business Analyst (m/f/d)

  • IDnow
  • München, Germany
  • 16/08/2021
Full time Data Science Data Engineering Big Data Business Intelligence Data Management Statistics

Job Description


Analyze data to identify patterns and trends, generate insights, and provide recommendations to improve the health of our portfolio of customers

Dive deep into data sets for insights around specific topics to improve key business metrics (e.g. conversion rate improvement)

Connect the dots across various data sources to tell a story through data visualization and insights

Develop regular tracking mechanism of annual budget vs. actual performance and setup early alert system (e.g. churn prediction)

Work with cross-functional business teams to create predictive analytics and leading indicators of performance especially revenue, transactions, pricing


Min. 2+ years of experience working in Analytics/ Business Intelligence environment

Bachelor's Degree, preferably in an analytical field - e.g. Economics, Business, Mathematics, Statistics, Finance, Data Science, Computer Science.

Proficient in extracting and processing data using SQL

Experience in driving reporting automation with Python or any other scripting language

Experience building visualizations and dashboards using Tableau/ Qlik Sense/ similar

Detail-oriented with an attitude for solving unstructured problems

Ability to work independently to design/construct/execute complex analyses to come up with data/reports that help solve the business problem

Good communication and presentation skills

Fluency in English is required, German is a plus

We offer

We make your remote work comfy: we provide support on equipment and offer flexible working hours

We value development: use your training budget for what excites you the most

International: Our team consists of 40+ nationalities; we are present and expanding in many countries throughout Europe

Growth Environment: Employment in a leading, fast-growing technology company with experienced, motivated colleagues

In case you have further questions, please feel free to contact Jacqueline Arlt at +49 89 413 24 6050.