Senior Data Analyst

Job TitleSenior Data Analyst / Data Science Lead – Product & Growth Analytics CompanyHoora Technologies LocationMumbai / Nagpur (Hybrid Optional) Experience4–6+ years in Data Analytics / Data Science Salary₹12 to 16 LPA (depending on seniority) Employment TypeFull-timeJob Mission You will fully own Hoora's product and growth analytics stack , acting as the chief translator between raw data and business strategy. Your mission is to establish asingle source of truthfor all core business metrics, drive decision-making through deep consumer behaviour analysis, and directly influence growth initiatives, retention, and marketplace liquidity.Key Responsibilities 1. Analytics Architecture & Governance (The Data Foundation) MongoDB Expertise:Design and write advancedMongoDB Atlas aggregation pipelines and queriesfor complex analyses (user events, funnels, retention cohorts). Infrastructure Ownership:Build and maintain interactive, high-reliability dashboards usingMetabase and MongoDB Chartsfor cross-functional teams (Product, Marketing, Ops). Data Governance:Establish and enforce standards for data quality, versioning, and reproducibility, ensuring every metric definition is consistent across the organisation.2. Growth and User Behaviour Analysis Instrumentation & Tracking:Own the event instrumentation pipelines acrossNetcore(or similar CDP),GA4 , and app SDKs, ensuring data integrity and attribution accuracy. Core Metrics:Lead deep-dive analyses onunit economics, LTV/CAC, cohort retention, engagement, and churn . Present clear, action-oriented findings to executive leadership. Marketplace Liquidity:Provide specialised analysis on marketplace dynamics, including supply/demand balance, operational efficiency, and pricing optimisation.3. Experimentation & Product Partnership A/B Testing:Design and support the analytical framework for allA/B testing and experimentation(e.g., pricing, feature rollouts), rigorously measuring and reporting on conversion impact. Product Collaboration:Partner directly with Product Managers to define tracking requirements for new features and ensure the analytical setup aligns with business objectives. Leadership & Mentorship:Act as the subject matter expert, defining best practices and mentoring junior team members.Ideal Candidate Profile Experience (Mandatory):4–6+ yearsin a hands-on analytics or data science role, specifically forconsumer-tech, D2C, or marketplace companies . Technical Stack Expertise (Mandatory): MongoDB Atlas Expert:Proficient in aggregation pipelines, indexing, query optimisation, and utilising MongoDB Charts. SQL & Dashboarding:Expert proficiency inSQL and Metabase(or similar BI tool) for complex querying and reporting. Event Tracking:Hands-on experience withGoogle Analytics 4 (GA4)and marketing/CDP platforms likeNetcorefor event and data layer management. Analytical Acumen:Proven ability to independentlydesign funnels, cohorts, and robust attribution models . Communication:Exceptional skill in translating complex, technical findings into clear, simple business insights for non-technical leadership. Bonus Qualifications Experience with advanced data warehousing or ETL tools (e.g., dbt, Airflow). Scripting experience (Python, R) for automation or predictive modelling. Direct exposure to large-scale experimentation platforms (e.g., Optimizely).Why Hoora? Impact:Directly influence the growth trajectory and unit economics of a fast-scaling consumer-services platform. Visibility:High visibility and direct partnership with the founders and senior leadership. Growth:Excellent opportunity for leadership growth into aHead of Data/Analyticsrole as the company scales.