Data Analyst

at  Celus

YOUR PROFILE

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

• Experience as a Data Analyst or in a similar role, and familiarity with B2B product-related metrics is a

• Proficiency in SQL
• Experience with data visualization tools such as Tableau, Power BI, Superset or Looker.
• Strong analytical skills with the ability to interpret complex data and identify patterns.
• Familiarity with statistical analysis and hypothesis testing.
• Excellent problem-solving skills and attention to detail.
• Experience working directly with data lakes or data lakehouses. Familiarity with Databricks is a highly advantageous
• Excellent communication skills including fluent English

ABOUT US

CELUS simplifies and accelerates the electronics design process for the global engineering community with it’s AI-powered CELUS Design Platform.
We are a Munich founded start-up on a mission to unleash scalable engineering by providing a comprehensive library of electronics components and CUBOs, automating all the manual and tedious tasks in the design process, so engineers can spend more time on innovation.
Join our community of tech enthusiasts and proactive high performers in an amazing journey through the world of electronics. We work with a clear vision, empowered by an ambitious, fast-paced environment and caring atmosphere, where your ideas and contributions are highly valued. We have offices in both Munich, Germany and Porto, Portugal.
Embracing diversity is a very important value at CELUS. As an equal opportunity employer, we do not discriminate against any employee or applicant for employment because of disability, race, color, sex, age, national origin, religion, sexual orientation, gender identity and/or expression.

We are looking for a skilled Data Analyst (F/M/D) to join our team. You will be responsible for fulfilling our data needs and supporting business teams through data exploration, reporting, ad-hoc analysis, and uncovering advanced insights to aid decision-making.

Your responsibilities in the position will include:

• Process and analyze large datasets to extract meaningful insights and trends.
• Develop and maintain notebooks, dashboards and reports to track different business metrics.
• Collaborate with data engineers to enhance the quality of our datasets.
• Collaborate with stakeholders to gather requirements, validate data, and deliver high-quality data insights, dashboards, charts or reports.
• Conduct exploratory data analysis to generate insights that support strategic decision-making.
• Identify data quality issues and work with other data team members to improve data accuracy and reliability.
• Communicate findings and recommendations to stakeholders through clear and concise reports, presentations, and visualizations.