What do you need to have ?
- Bachelor's/Master's degree in Engineering, Economics, Finance, Mathematics, Statistics, Business Administration or a related quantitative field
- 5-7 years of high quality hands-on experience in analytics and data science
- Hands on experience in SQL and Python
- Define the business and product metrics to be evaluated, work with engg on data instrumentation, create and automate self-serve dashboards to present to relevant stakeholders leveraging tools such as Tableau, Qlikview, Looker etc.
- Ability to structure and analyze data leveraging techniques like EDA, Cohort analysis, Funnel analysis and transform them into understandable and actionable recommendations and then communicate them effectively across the organization.
- Hands on experience in working with large scale structured, semi structured and unstructured data and various approach to preprocess/cleanse data, dimensionality reduction
- Work experience in Consumer-tech organisations would be a plus
- Developed a clear understanding of the qualitative and quantitative aspects of the product/strategic initiative and leverage it to identify and act upon existing Gaps and Opportunities
- Hands on experience of A/B testing, Significance testing, supervised and unsupervised ML, Web Analytics and Statistical Learning
What do we expect from you?
- Creative thinking to solve real-world problems
- Fail fast, learn faster approach
- Comfortable in a high-energy, fast-paced environment
- Proficient verbal and written communication skills
- Strong Ownership with the ability to self-direct work in an unstructured environment
- Excellent partnership and collaboration skills with the ability to work cross-functionally
- Good organizational skills including prioritizing, scheduling, time management, and meeting deadlines
- Proven experience in managing cross-functional projects
- Proven negotiation skills, influencing abilities
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