Ripik.ai
Business Analyst
- Eligibility
- Not stated
- Batch
- 2024–2026
- Experience
- 0–2 years
- Pay
- ₹50,000–₹80,000/month
How well do you fit this role?
Your resume against this posting — what you have, what’s missing, and a short plan to close the gap.
PDF or text, up to 4 MB. It stays in this browser — nothing is saved to your account.
About this role
About the role: - Analyse business data and extract actionable insights to support strategic decision-making - Build and maintain dashboards that track key performance indicators and business metrics - Work with quantitative data to identify trends, anomalies and opportunities for improvement - Conduct statistical analyses to test assumptions and validate business hypotheses - Support financial modelling efforts including unit economics, cohort analysis and forecasting What you'll work on: - Creating advanced Excel workbooks with Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH and nested formulas - Designing visualisations and interactive dashboards using tools such as Power BI, Tableau, Metabase, Looker or Google Data Studio - Performing A/B testing, hypothesis testing and basic regression analysis - Developing financial models to understand business unit performance and project future scenarios - Preparing data using Power Query and conditional formatting to ensure accuracy and clarity What we're looking for: - 0–2 years of experience - Honours degree in Mathematics, Economics, Statistics, Engineering or another quantitative field - Strong foundation in quantitative reasoning and mathematical concepts - Comfort working with numbers, percentages, ratios and fundamental statistical methods - Demonstrated proficiency in Excel including Pivot Tables, VLOOKUP/XLOOKUP, INDEX-MATCH, complex nested formulas, Power Query, conditional formatting and chart design - Hands-on experience building dashboards in Excel, Power BI, Tableau, Metabase, Looker or Google Data Studio - Keen analytical mindset and ability to draw meaningful conclusions from data Preferred qualifications: - Background in VBA or macros for Excel automation - Familiarity with modern technology platforms, marketing technology tools and artificial intelligence applications - Knowledge of financial modelling techniques such as unit economics, cohort economics or forecasting methods - Understanding of statistical testing approaches including A/B testing, hypothesis testing or regression - Interest in industrial AI and its business applications - Willingness to travel when the role requires it Who we encourage to apply: - Fresh graduates and early-career professionals - Candidates from top-tier colleges such as SRCC, LSR and St. Stephen's