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; a critical partner in organizational decision-making
- Opportunity to interact with people from diverse backgrounds — a mix of statisticians, consultants, and programmers
- Flat organizational structure with an open and direct culture
- 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 working 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
- Strong organizational skills including prioritization, scheduling, time management, and meeting deadlines
What will you work on?
- Work with large, complex datasets to solve business problems using advanced analytical methods
- Monitor and forecast key business metrics regularly
- Conduct planning and review key performance metrics to drive impactful changes
- Identify the right metrics to track progress against business goals
- Design, run, and measure experiments to test business hypotheses
- Expedite root cause analyses and insight generation through automation and self-serve platforms
- Develop compelling narratives with business insights aligned to strategic goals
- Collaborate with Business, Product, and Data Engineering teams to improve data accuracy through feedback and instrumentation quality
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 year of core analytics experience
- Experience in analytics, data science, or related fields
- Hands-on experience with data manipulation tools such as SQL, R, Python, and Excel
- Exposure to BI platforms like Power BI, Tableau, etc.
- Knowledge of basic statistical measurement frameworks (central tendency, dispersion, distribution, significance testing, etc.)
- Basic understanding of machine learning techniques such as regression and classification
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