Data Analyst – GoodSpace AI

Opportunity Overview

Attribute	Details
Organization	GoodSpace AI (GoodSpace)
Role Title	Data Analyst
Work Model	Remote (India) \| HQ: Noida, Uttar Pradesh
Employment Type	Full-Time
Experience Level	0–3 Years (Freshers & Internships Included)
Remuneration	₹9.0 LPA – ₹10.0 LPA
Domain Focus	Product Analytics, Business Intelligence, & AI-Driven Recruitment

The role focuses on cross-functional business intelligence across product, marketing, and operational datasets:

[SQL Querying & Ingestion] ➔ [Data Cleaning & Validation] ➔ [KPI Monitoring & Statistical Analysis] ➔ [BI Dashboarding & Stakeholder Presentation]

Data Extraction & Querying: Draft complex SQL queries to extract, transform, and validate transactional and product performance data.
Dashboard & Report Development: Design, deploy, and maintain interactive reporting dashboards for cross-functional business teams.
KPI Monitoring & Metrics Tracking: Track core business, product, and marketing KPIs; perform root-cause analysis on variance deviations.
Stakeholder Insights Delivery: Translate raw datasets into actionable product, marketing, and operational recommendations and present findings to leadership.
Data Governance & Quality: Validate underlying database tables and reporting pipelines to ensure data consistency and accuracy.

Experience Range: 0 to 3 years of prior analytics exposure (relevant internship experience counts toward overall tenure).
Target Audience: Undergraduates, postgraduates, freshers, or junior analysts seeking entry-level to mid-level roles in product analytics.

Requirement Tier	Technical & Functional Competencies
Core Technical Skills	Strong SQL (joins, aggregations, CTEs, window functions) & Advanced Excel / Google Sheets.
Business Intelligence (BI)	Hands-on familiarity with Power BI, Tableau, or Looker Studio.
Analytical Concepts	Applied descriptive statistics, data visualisation standards, and business metric framing.
Desirable / Preferred	Python or R scripting for analytics, product analytics tools (e.g., Mixpanel, Amplitude), and A/B testing design.
Soft Skills	Strong verbal and written communication, data storytelling, and analytical problem-solving.

Resume Customisation: Explicitly feature SQL query optimisation, data dashboard examples, and quantitative business outcomes achieved during past internships or academic projects.
Technical Review Focus:
- SQL Proficiency: Practice complex JOINs, subqueries, grouping operations (GROUP BY/HAVING), and window functions (ROW_NUMBER, RANK, LAG/LEAD).
- Dashboard Portfolio: Prepare 1–2 visual dashboards (Power BI/Tableau/Looker) to demonstrate dataset modelling and visual hierarchy.
- Product Metrics: Review baseline product metrics like Daily Active Users (DAU), Monthly Active Users (MAU), Retention Rate, Churn Rate, and Conversion Funnels.