Lead - Analytics
Requirements:
- Needs to be comfortable and super hands-on with SQL, Pandas, Numpy, Seaborn - the usual suspects
- Experience of Data Engineering (ETL/ELT tools, Data Lake and Warehousing, Data Pipelines - Airflow, DBT)
- Experience with directly dealing with Business and Tech stakeholders, gathering and streamlining requirements
- Excellent at verbal and written communication
- Good Reasoning and Presentation Skills
Some good-to-have:
- Statistical Bent
- Has managed a team before
- Worked on Marketing Analytics
- A Data Nerd at heart
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