LOHNunion GmbH

Data Analyst

LOHNunion GmbH

full-time

Posted on:

Location Type: Hybrid

Location: KielGermany

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Salary

💰 €35,000 - €55,000 per year

Tech Stack

About the role

  • Analysis and structuring of data
  • Ensuring the consistent, accurate, and timely provision of data from various sources
  • Managing continuous data quality, including regular validations
  • Developing and optimizing data models for interface and analysis purposes
  • Participating in digitization projects
  • Identifying and implementing optimization potential in data processes and data structures

Requirements

  • Completed degree in (business) computer science, mathematics, data science, or a comparable qualification
  • Initial practical experience in data analytics
  • Solid knowledge of SQL, data modeling, and ETL/ELT processes
  • Experience working with BI tools
  • Programming skills for data analysis
  • Affinity for technology and innovation, business acumen, and strong conceptual and communication skills
  • Structured, self-directed working style, a willingness to learn, and strong team spirit
Benefits
  • Comprehensive onboarding | From day one you will have a dedicated mentor. We’ll guide you — you will never be left to fend for yourself.
  • Flexible working hours | We have no core hours. Your flex-time window runs from 6:00 to 19:00. This helps you balance work and personal life.
  • Hybrid remote work | After a successful onboarding period you can work up to 50% of your time from home. Decide how to distribute your home office days across the month.
  • Bike lease or public transport pass | Prefer commuting sustainably by bike or by public transport? Great — we’ll provide either a JobRad (bike lease) or a JobTicket (public transport pass).
  • Fitness subscription | Exercise makes you happy and healthy. With all Hansefit partner locations you train for just €20 per month; we cover the rest.
  • Anniversary & birthday | We celebrate your milestones: you’ll receive a voucher on your birthday and on your work anniversary.
  • Be yourself | We don’t impose a dress code. Come as you are. Stay as you are.

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata modelingSQLETLELTBI toolsprogramming skills
Soft skills
communication skillsstructured working styleself-directed working stylewillingness to learnteam spiritbusiness acumenconceptual skills
Certifications
degree in computer sciencedegree in mathematicsdegree in data science