Job Duration: 12 months contract with a possibility to extend or to go perm!
Key Responsibilities:
Generate data-driven hypotheses to solve key Product/Business problems
Use data to identify trends, spot anomalies and deepdive into their root causes
Partner closely with the broader product and engineering team to design and analyze experiments that drive key product decisions, deepdive into existing data to recommend new product ideas to solve for the most impactful customer problems
Design and own frontend and backend data specs for new products, while collaborating with engineering teams to ensure accurate and timely data collection, consolidate data from multiple sources to create integrated and scalable views that can be used to drive decision making
Provide catered analysis for specific products and operations, define critical business metrics and track them rigorously, and provide regular recommendations to achieve continuous improvements
Work closely with stakeholders to understand their needs/ pain points to scope up their problems and enhance internal processes through automation and improve productivity
The Must-Haves:
4-6 year of experience in data analytics related roles analyzing large data sets and informing company strategy (map-making, ride-hiding, or delivery related industry experience is a plus)
Strong statistical knowledge, meticulous attitude towards data, and proficient in running experiments
Strong data visualization skills. Experience in creating dashboard reporting in Tableau, PowerBI or a similar visualization tool
Strong SQL skills and experience in scripting languages such as Python or R
Experience in building & maintaining data pipelines to serve data needs of different projects
Problem solver: ability to evaluate and design creative solutions for various tasks in a timely manner
Effective communicator: able to effectively communicate the analytical findings and convey clear messages
Self-Starter. Ability to work independently and drive own projects.