Data Analyst (All Genders)
Data Analyst (All Genders)
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Job Description
We are looking for aData Analyst to join the Merchandising Business this role you will generate insights that guide high-impact decisions on an international scale. Your responsibilities will include extracting key data performing predictive analytics and translating findings into actionable goal-oriented business strategies.
You will take on a variety of exciting challenges and projects that align with your interests and strengths while working closely with stakeholders across Product Management Marketing Local Markets Management and IT. Strong communication skills - especially the ability to explain complex topics to non-technical colleagues - will be a valuable asset.
Your job responsibilities as a Data Analyst include:
Partnering with business and technical stakeholders to translatechallenging retailbusiness problemsinto dashboards to visualize insights as a guidance for decision making
Performexploratoryanalysisincluding hypothesis testing and statistical analysis and inference including ad-hoc analysis on specific topics
Work closely with stakeholders to understand their needs and ensure our analysis are having a real impact and advise business on interpretation and possible actions.
Work closely with the teams Data Scientists to create predictive and prescriptive models
Discover and make new data sources accessible from data discovery to data pipelining and QA
Create and develop analytical processes to advance the companys level of insight
Qualifications :
Strong analytical skills
University degree in Computer Science Mathematics Analytics or comparable experience
Advanced experience with Tableau and/or Power BI
Advanced knowledge of SQL
Over three years of experience in finding cleaning and manipulating data to build large data sets that do not fit in memory
Experience using Python or a similar scripting language especially with data-related libraries such as pandas PySpark NumPy Polars and others
Initial experience with or strong interest in developing data science models
A strong team player comfortable working in a startup-like environment
Very good command of English both spoken and written
Additional Information :
With more than 1000 passionate professionals located across 6 European offices we believe our success comes from working together and leveraging our international strengths. Expect a hybrid work setup: 60% in-office 40% remote collaborating with colleagues across locations.
Our benefits:
20% discount in our zooplus shop
Internal and external training
Team events
#LI-Hybrid
28 vacation days and days off on 24th and 31st of December
Corporate rates at a local gym chain (Body & Soul)
Company mobile phone for work and personal use
zooplus is committed to equal opportunity. We value and embrace diversity and inclusion of all Team Members.
Remote Work :
No
Employment Type :
Full-time
Employment Type
Full-time
