Senior Data Analyst

Job Title

Company

Location

Experience

Salary

Employment Type

Job Mission

You will fully own Hoora's product and growth analytics stack

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.