Senior Data Analyst

Job Description Job TitleSenior Data Analyst / Data Science Lead Product & Growth Analytics CompanyHoora Technologies LocationMumbai / Nagpur (Hybrid Optional) Experience 46+ years in Data Analytics / Data Science Salary 12 to 16 LPA (depending on seniority) Employment TypeFull-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):46+ 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.