
Data Analyst
KIND GmbH & Co. KG
full-time
Posted on:
Location Type: Hybrid
Location: Burgwedel • Germany
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Job Level
About the role
- Optimize and further develop the analysis strategy of our data products with an omnichannel approach
- Further develop funnel and competitive analyses to support Sales, Marketing and digital products
- Design and produce regular reports, presentations and ad-hoc analyses, derive clear recommendations for action and consolidate management information
- Close collaboration with Data Engineers, software developers and stakeholders
- Audience-appropriate visualization using dashboards
Requirements
- Professional experience in data analytics, business intelligence and/or statistics
- Solid knowledge of data-processing programming languages (Python, R), SQL and BI solutions (Power BI)
- Experience tackling complex analytical problems
- Ability to independently identify and highlight optimization potential
- Analytical and conceptual mindset with a strong focus on innovation and solution orientation
- Team player with strong communication skills and assertiveness
- Good German language skills at B2 level, ideally C1
- Desirable: experience with statistical modeling, cloud technologies (Microsoft Azure), web analytics tools (Google Analytics), server-side tracking, DevOps, data governance
Benefits
- Structured onboarding and a well-coordinated team where personal commitment and mutual support come first
- A growing, modern environment with opportunities to shape your role and short decision-making paths
- Training and professional development opportunities
- Flexible working hours, partial remote work and a modern workplace at the KIND Campus
- Daily freshly prepared meals in our subsidized staff canteen – regional, organic quality and always with a vegetarian option
- Employee discounts of up to 50% for staff and 30% for relatives on our KIND products (glasses & hearing systems)
- Corporate benefits – attractive employee offers from reputable providers
Applicant Tracking System Keywords
Tip: use these terms in your resume and cover letter to boost ATS matches.
Hard skills
data analyticsbusiness intelligencestatisticsPythonRSQLPower BIstatistical modelingcloud technologiesserver-side tracking
Soft skills
analytical mindsetconceptual mindsetinnovationsolution orientationteam playercommunication skillsassertiveness