Senior Data Analyst

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 Hooras 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):

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• 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.