Senior Data Analyst

Job Title               Senior Data Analyst / Data Science Lead – Product & Growth Analytics Company             Hoora Technologies Location               Mumbai / Nagpur (Hybrid Optional) Experience          4–6+ years in Data Analytics / Data Science Salary     ₹12 to 16 LPA (depending on seniority) Employment Type           Full-time Job 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 a single source of truth for 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 advanced MongoDB Atlas aggregation pipelines and queries for complex analyses (user events, funnels, retention cohorts). Infrastructure Ownership: Build and maintain interactive, high-reliability dashboards using Metabase and MongoDB Charts for 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 across Netcore (or similar CDP), GA4 , and app SDKs, ensuring data integrity and attribution accuracy. Core Metrics: Lead deep-dive analyses on unit 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 all A/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+ years in a hands-on analytics or data science role, specifically for consumer-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 in SQL and Metabase (or similar BI tool) for complex querying and reporting. Event Tracking: Hands-on experience with Google Analytics 4 (GA4) and marketing/CDP platforms like Netcore for event and data layer management. Analytical Acumen: Proven ability to independently design 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 a Head of Data/Analytics role as the company scales.