DATA ANALYST (M/F)

Job description

ALLEMAGNE(Berlin)
du01 octobre 2020au01 octobre 2021(pour12mois)
ETABLISSEMENT :AUTOBIZ
REMUNERATION MENSUELLE :1933€ (indemnité non contractuelle fixée par décret et arrêté, dont le montant peut varier notamment en
fonction de l’évolution du barème de référence, de la localisation de la mission et des cas d’abattements prévus par les textes)

You will join a company where you will take ownership of your role and contribute actively with new ideas of new projects in a stimulating working environment. You will be part of a small and high performing team, and you will work together in goodwill to achieve best results.

http://corporate.autobiz.com

Role :

We are looking for a Data/Business Analyst who is deeply passionate about data driven projects, transforming raw data into clear actionable business insights and who is constantly driving himself/herself and the team towards meeting the next challenge.

Challenges :

- Bring an added value on the data analysis & data management : automatization, improvement of the data quality
- Analyzing, large, complex data sets representing the billions of ads on the classifieds market, to address strategic and operational business questions
- Provide actionable recommendations and conclusions from KPIs
- Build dashboards and reports to facilitate understanding of key business metrics and delivery autobiz final products or specific studies
- Manage multiple projects at a time in a fast-paced, results-oriented environment

Must Have :

- You have a strong academic background in an analytical field such as Mathematics, Engineering, Statistics or Economics
- Analytical work experience, preferably in an online industry - strong advantage
- High level of analytical and problem-solving skills with strong attention to details
- Ability to turn complex concepts into actionable recommendations
- Strong interpersonal skills and Business acumen
- True passion for understanding marketplace behavior and tolerance for ambiguity
- Strong Excel skills.
- SQL experience in querying large, complex data sets - advantage
- Experience working with Tableau – advantage
- Advanced knowledge in statistical tools and models- advantage