Act as the first point of contact to provide concrete data-driven insights to answer business questions for your squad
Create compelling presentations and dashboards which tell a story by leveraging our data, engineering best practices and various reporting tools at Careem
Always push the envelope through continuous improvement of insights we generate, presentations we make and our reporting solutions
Act as an inspiring role model and mentor for the junior DA in your allocated squad. Give insightful and actionable feedback for their improvement / career development
Develop trust based relationships with your stakeholders. Co-create the product and commercial roadmaps for your squad by working very closely within your squad
Gain subject matter expertise and help define appropriate key metrics for the business unit and discover untapped areas for growing the business for your assigned squad
Experimentation launch / analysis - you will design A / B tests, F-Tests etc. and analyse the data once it is available. You will need to identify the right test to use, right sample sizes which will be needed for a conclusive answer
Develop deep understanding and familiarity of our data tech stack - DWH tables, data structures etc. You will also work very closely with DWH + Data Engineering team to partner on projects relating to ETL pipelines, data accuracy and building trust in our data
You will need to leverage knowledge of advanced statistics and machine learning to solve business problems relating to CLTV improvement, customer / captain segmentation, reducing customer / partner churn etc.
What are we looking for?
8+ years of demonstrated experience working in an analytical role
5+ years of demonstrated experience with business intelligence and visualization tools creating management dashboards
Strong experience in leading cross-functional teams and projects from a technical and data analysis perspective
Expert at writing SQL queries against large amounts of data, strong analytical skills and a passion to work on problems that involve large datasets
Self-starter with excellent communication and organizational skills
Ability to get hands-on in a complex operational environment
Must be process orientated and a logical thinker with good attention to detail
Working knowledge with reporting tools such as Tableau, MicroStrategy or Looker
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