About the role
About the RoleWe are looking for a highly analytical and business-oriented Business/Data Analyst who can transform data into actionable insights and support strategic decision-making across product, marketing, customer lifecycle, retention, and business operations. The ideal candidate should possess a strong problem-solving mindset, excellent stakeholder management skills, and hands-on experience in data analysis, visualization, and business intelligence.This role will work closely with senior leadership, product teams, marketing, CRM, customer experience, and technology teams to improve business performance through data-driven recommendations.
Key ResponsibilitiesBusiness Analytics & Insights
- Analyze large datasets to identify business trends, customer behavior patterns, and growth opportunities.
- Translate business problems into analytical frameworks and actionable recommendations.
- Design and maintain business KPIs, dashboards, and reports for leadership reviews.
- Conduct cohort analysis, funnel analysis, retention analysis, and customer segmentation.
- Extract, clean, validate, and analyze data from multiple sources.
- Build automated dashboards and reporting solutions using BI tools.
- Monitor business performance and proactively identify anomalies, risks, and opportunities.
- Develop recurring and ad-hoc analytical reports for cross-functional stakeholders.
- Partner with Product, CRM, Marketing, Finance, and Operations teams to measure business impact.
- Conduct A/B test analysis and evaluate campaign effectiveness.
- Provide recommendations to improve customer acquisition, engagement, retention, and monetization.
- Present insights and recommendations to senior management.
- Collaborate with business and technology teams to define data requirements.
- Drive a culture of data-driven decision-making across the organization.
Required Skills & QualificationsEducational Qualification
- B.Tech/M.Tech or MBA from IIT, NIT, BITS Pilani, IIIT, or equivalent Tier-1 institutions preferred.
- Strong academic background in Engineering, Computer Science, Mathematics, Statistics, Economics, or related fields.
- Advanced SQL (mandatory)
- Strong proficiency in Excel/Google Sheets
- Experience with Python (Pandas, NumPy, Matplotlib) or R
- Hands-on experience with BI tools such as Power BI, Tableau, Looker, or Metabase
- Understanding of data warehousing concepts and database structures
- Strong problem-solving and structured thinking capabilities
- Ability to work with large datasets and derive meaningful insights
- Experience in statistical analysis, forecasting, hypothesis testing, and experimentation
- Knowledge of customer lifecycle metrics, funnels, retention, and cohorts
- Excellent communication and presentation skills
- Strong business acumen and stakeholder management
- Ability to independently drive projects with minimal supervision
- Curious, detail-oriented, and highly data-driven
- Experience in OTT, Subscription, E-commerce, Consumer Internet, FinTech, Telecom, SaaS, or Digital businesses.
- Exposure to CRM, Retention Marketing, Customer Analytics, or Product Analytics.
- Experience with A/B testing frameworks and experimentation platforms.
- Familiarity with data pipelines and cloud platforms (AWS, GCP, Azure) is an added advantage.
- Improved decision-making through actionable insights.
- Increased business KPI visibility through automated dashboards.
- Enhanced customer acquisition, retention, and revenue metrics.
- Faster turnaround time for business analysis and reporting.
- Opportunity to work directly with business leadership on strategic initiatives.
- High ownership and visibility across functions.
- Solve complex business problems using data and analytics.
- Fast-paced environment with significant learning and growth opportunities.