About the role
As a Data Science / Analytics Engineer, you will play a crucial role in empowering HR managers with our advanced people analytics platform.
Here’s what you’ll get to do:
Data Analysis and Insights – Harness the power of Python and LLMs to uncover hidden gems in data. Help investigate and implement cutting-edge machine learning and statistical models to enhance our analytics offering.
Design and Build – Support the architecture and infrastructure of a cohesive data model that is central to our platform.
Product Development – Design and develop new analytics use cases and leverage the data pipeline to deliver actionable insights.
Who are we looking for?
- Education: M.Sc., B.Sc., or equivalent experience in Computer Science, Business Informatics, Data Science, Engineering, or another relevant technical field.
- Experience: 0-3 years of working experience.
- Skills:
- Must have:
- Data Analytics and Visualization Skills.
- Solid SQL knowledge.
- Experienced with Python.
- Nice to have:
- Familiarity with Agile Software Development methodologies.
- Knowledge of Machine Learning.
- Experience with data visualization tools (such as Tableau, PowerBI, or Qlik).
- Experience in applied statistics, data analysis, and data preparation.
- Personal Attributes:
- Strong analytical skills and experience using data to inform data engineering/science decisions.
- Strong communication skills, with the ability to communicate complex data solutions across teams and clients.
- A motivated self-starter with a strong enthusiasm to learn.
What we can offer you?
- You will be able to personally and professionally grow with a young and striving company through challenging and diverse projects
- True startup atmosphere in a dynamic, innovative, and exciting work environment where your ideas will make an impact from the very beginning
- Flat hierarchies and a large amount of individual responsibility
- Beyond an individually negotiated compensation package including company shares, you will enjoy a unique combination of professional opportunities, entrepreneurial spirit, technological excellence, and industry exposure
- Regular team offsites and learning budget
Why we’re building peopleIX:
We have seen how companies struggle with making data-driven people decisions. With first-hand experience in different industries and stages of companies, we have seen a bunch of analytics approaches. However, due to messy data, which is fragmented across many systems (HRIS, ATS, Performance, LMS..), and mostly inexperience with rigorous data crunching in people teams, it is time to build a truly intuitive people analytics platform. With years of experience scaling and transforming businesses as well as running HR & analytics projects, we are now building the people analytics platform we always wanted. With peopleIX, we enable people teams to make data-driven people decision-making.