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Data Analyst
3 months ago
Are you ready for a real challenge? We're looking for an experienced
Data Analyst who will be part of the growing international technical team at Tamanna.
Tamanna is young but growing at high speed with 400+ international brands, which means you'll take ownership of your projects, work with great autonomy, and see your ideas and initiative being encouraged.
Together our cross-disciplinary teams are iterating, experimenting and revolutionising the retail industry, by building a fully fledged multi-brand marketplace for fashion & beauty.
Our mission is to become the number one destination for the latest shopping trends in the Middle-East with a unique customer-focused, omnichannel shopping experience.
So, what will your day look like with us? You will:
- You will live in the data. You will be primarily responsible for discovering opportunities to drive growth in user engagement and revenue.
- You will unlock data for the organization, generating reports to enable discovery and understanding of performance throughout the organization
- You will combine statistical analysis with business knowledge to help influencing decisionmaking at various levels.
- You will work directly with stakeholders to gather requirements, share insights, and help drive the business.
- You will help building and improving the Data ecosystem
What we are looking for:
- Strong problemsolving and analytical skills and the ability to collect, organize, analyse and disseminate significant amounts of information with attention to detail and accuracy,
- Passion for driving business decisions through datadriven insights.
- You have proven working experience as a Data Analyst or Business Data Analyst, preferably, in the Ecommerce field.
- Strong communicative skills. The ability to prepare and present concise and clear results to stakeholders.
- Expertise in creating reports via Power BI and building optimized and robust DAX queries in addition to Power BI optimization (aggregated tables).
- Expertise with SQL and working with databases is necessary.
- Experience with Python is a nicetohave especially within the Spark/Databricks ecosystem.
- Experience with the Azure Data Stack is a nicetohave, Azure Synapse Analytics in particular.