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Data Analyst (all genders)

flaconi

Berlin

Hybrid

EUR 57.000 - 72.000

Vollzeit

Heute
Sei unter den ersten Bewerbenden

Zusammenfassung

A leading online retailer in Berlin is seeking a motivated Data Analyst to join their Data Analytics team. The role involves driving analytics projects, developing data pipelines, and creating performance dashboards using various tools. Ideal candidates will have at least 3 years of experience with SQL and a familiarity with Python. The position offers a competitive salary and great benefits including flexible working arrangements and opportunities for professional development.

Leistungen

29 vacation days
Flexible working hours
BVG or Deutschland ticket costs covered
Internal training opportunities
Mental health counseling sessions
Sports options & discounts
Emergency daycare
Company pension scheme with 20% subsidy
High end technical equipment
Great discounts in online shop

Qualifikationen

  • 3+ years of experience with SQL, writing complex queries.
  • Understanding of Python for data manipulation.
  • Ability to communicate complex technical concepts clearly.

Aufgaben

  • Drive analytics projects across Operations Tribe.
  • Develop data pipeline logics using SQL and Python.
  • Create performance dashboards in reporting tools.

Kenntnisse

SQL
Python
Statistical methods
Analytical mindset
Communication
Data literacy

Ausbildung

Bachelor’s or Master’s degree in a relevant field

Tools

Exasol
Airflow
Databricks
Tableau
Apache Superset
Jobbeschreibung

We are looking for a highly motivated and enthusiastic Data Analyst (all genders) to join our Data Analytics team. In this role, you'll work alongside other domain analysts, engaging in domain and strategic initiatives, with both collaboration and autonomy.

If you enjoy navigating complex challenges and driving transparent, data-driven outcomes, we'd love to hear from you!

What We Offer
  • Our employees matter to us: We offer you a permanent contract and cover the costs for your BVG or Deutschland ticket.
  • Work-life balance: 29 vacation days, flexible working hours, up to three days of working from home per week, and in specific cases, the option to work 100 % remotely within Germany; the possibility of a paid sabbatical.
  • flaconi Academy: Actively shape your own career path by taking advantage of our internal and external training opportunities.
  • We care about your well being: We want to support you also during difficult times. For this, we offer you and your close relatives counseling sessions with mental health professionals.
  • flaconi fitness: a wide range of sports options & discounts on memberships.
  • Family first: Our “emergency-daycare” is there for you in out-of-the-ordinary situations to look after your child on site at our office.
  • Thinking about tomorrow together: flaconi subsidizes your savings contribution to the company pension scheme with an additional 20%.
  • A comfortable working space with everything you need: High end technical equipment, fruits and drinks, no dress code and dogs are welcome in our office!
  • Other perks: Great discounts in our online shop as well with our partner companies, cool team events & company parties!
  • Check out all benefits HERE.
Your role
  • Drive analytics projects across the Operations Tribe (Logistics, Assortment, Supply Chain) and Central BI, providing analytical expertise and assisting in defining project objectives and deliverables.
  • Partner with data engineering and business teams to build scalable & high-impact data solutions, contributing in the development of data pipeline logics using data modeling, SQL and Python, and ensuring efficient data management and governance.
  • Develop high-performance data pipelines across Exasol, Airflow, and Databricks by writing advanced SQL queries.
  • Develop insightful performance dashboards in reporting tools like Tableau & Apache Superset.
  • Support with maintaining and evolving our central company reporting landscape, ensuring accountability KPIs and data consistency.
  • Develop & execute data quality assurance (QA) processes for central data products and pipeline implementations, and contribute to the adherence of reporting best practices.
  • Drive data excellence projects, developing our BIOps and fostering data literacy in the company through various initiatives such as trainings or data cataloguing
Your profile
  • Bachelor’s or Master’s degree in Economics, Statistics, a STEM field, or a comparable degree program with a strong focus on analytics and research.
  • 3+ years of experience with SQL, including writing complex queries for large-scale datasets.
  • Python understanding for data manipulation and scripting.
  • Understanding of statistical methods and an analytical mindset.
  • Ability to communicate complex technical concepts to non-technical stakeholders.
  • Excellent communication skills, both written and verbal English.
  • Curious by design, eager to learn and be mentored by senior members of the team.
Recruiter
  • Miriam Moghal (Jr. Talent Acquisition Manager)
Job Level
  • Manager

Founded in 2011 as one of the first online perfumeries, flaconi is honored to work with more than 700 people from 60 different nations at the flaconi headquarters in Berlin-Charlottenburg and its fulfillment center in Halle.

Shape our company’s success with us and apply now online! We look forward to receiving your complete application documents including your earliest starting date and salary expectations.

flaconi will not accept unsolicited resumes from any source (e.g. recruitment agency) other than directly from a candidate.

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

For this role, we have a salary band between €57.000 and €72.000 gross per year. The salary that we will offer you will always be within this span and is based on the skills that you show during the recruitment process.

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