Flexiple
Website:
flexiple.com
Job details:
Company Details
Swiggy is India’s largest on-demand convenience platform, redefining the way people access food, groceries, and everyday essentials. Established in 2014, Swiggy operates across 500+ cities with a robust logistics network that ensures fast and reliable doorstep delivery. From restaurant meals to groceries via Instamart and hyperlocal pick-up and drop services through Genie, Swiggy has become an integral part of daily life for millions of Indians, combining technology, scale, and convenience in a seamless digital experience.
Job Roles & Responsibilities
What can you expect?
- Excellent work environment - rated amongst LinkedIn’s - “Top Companies Where India wants to work now” list
- 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 6. Merit-based fast-growth environment
- Market-leading compensation and benefits
What do we expect from you?
- Creative and structured 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
- 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 ?
- Work with large, complex data sets to solve business problems, applying advanced analytical methods as needed
- 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 organization
- Work with Business, Product and Data engineering teams for continuous improvement of data accuracy through feedback and scoping on instrumentation quality and completeness
Ideal candidate profile
What do you need to have ?
- Bachelor’s degree in Business Administration, Engineering, Economics, Finance, Mathematics, Statistics, or a related quantitative field
- 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
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