Description:
What can you expect?
- Exposure to challenging problems across multiple domains
- Ability to directly implement solutions and see them in action; critical partner for all decision-making in the organisation
- Interact with people from various backgrounds - a mix of Statisticians, Consultants, and Programmers
- Flat organization structure with open and direct culture
- Merit-based fast-growth environment
- Market-leading compensation and benefits
What do you need to have?
- Minimum 1 yrs of core Analytics experience.
- Experience in analytics/data science or related field
- Hands-on experience on data manipulation tools like SQL, R, Python, Excel etc.
- Exposure to BI Platforms like Power BI, Tableau etc.
- Knowledge of basic statistical measurement frameworks (measures of central tendency, dispersion, distribution, significance testing etc.)
- Basic knowledge of machine learning techniques like Regression, Classification etc.
What do we expect from you?
- Fail fast, learn faster approach
- Comfortable in a high-energy, fast-paced environment
- Proficient verbal and written communication skills
- Detail-oriented 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
What will you work on?
- Monitor and forecast key business metrics regularly
- Conduct regular planning and reviews key performance metrics and aid in benefitting from change
- Identify the right metrics to track progress against a given business goal
- Design, run and measure experiments to test business hypotheses
- Expedite root cause analyses/insight generation against a given recurring use case through automation/self-serve platforms
- Develop compelling stories with business insights, focusing on the strategic goals of the organisation
- Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness.
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