Data Analyst

GoodSpace’s interview process typically consists of an online assessment followed by two technical rounds and an HR discussion. The assessment focuses on SQL queries and Excel data‑manipulation tasks, while the technical interviews dive deeper into analytical thinking, dashboard design, and case‑study based problem solving. Candidates are advised to brush up on A/B testing concepts and be ready to discuss past projects with clear impact metrics.

GoodSpace fosters an AI‑first, mission‑driven culture where every employee’s contribution directly impacts millions of job seekers. The startup environment encourages high ownership, rapid learning, and close collaboration with the founding team, while maintaining a healthy work‑life balance through flexible remote policies.

Bachelor’s degree in Engineering, Statistics, Mathematics, Computer Science, Economics or related field; minimum 60% aggregate (or CGPA 6.0/10); graduating batch 2023‑2026; no active backlogs at the time of joining; strong analytical mindset and problem‑solving ability.

Round 1: Online assessment (SQL & Excel test) → Round 2: Technical interview (data analysis, case studies, SQL/BI tool discussion) → Round 3: HR interview (cultural fit, motivation, salary expectations)

GoodSpace is an AI‑powered job and career platform that connects millions of job seekers with the right opportunities faster. By leveraging machine learning and advanced analytics, GoodSpace simplifies job discovery, improves hiring outcomes, and builds trust between candidates and employers. The company has quickly become a favourite among Indian job portals for its data‑driven approach and commitment to innovation. As the platform scales, GoodSpace is expanding its data team to deepen product intelligence and power its AI‑first roadmap. Th e Data Analyst role sits at the intersection of product, engineering, and growth. You will be responsible for turning raw data into actionable insights that shape product features, marketing strategies, and overall business direction. Working closely with cross‑functional teams, you will design and maintain dashboards, run rigorous analyses, and support the evaluation of AI/ML models that power the matching engine. **Key Responsibilities** 1. Collect, clean, and integrate large datasets from product logs, marketing tools, and user behavior sources. 2. Build, maintain, and automate interactive dashboards using Tableau/PowerBI/Looker for internal stakeholders. 3. Conduct A/B tests, cohort analyses, funnel analyses, and performance tracking to guide product decisions. 4. Identify trends, patterns, and anomalies, and translate them into clear business recommendations. 5. Collaborate with engineering to improve data pipelines, ensure data quality, and implement tracking enhancements. 6. Support model evaluation and data preparation for AI/ML initiatives, providing basic statistical validation. 7. Prepare regular reports on user retention, job‑matching success rates, and marketplace health metrics. 8. Present findings to senior leadership in a concise, visual format that drives action. **Tech Stack**: SQL, Excel/Google Sheets, Python (basic), R (optional), Tableau, PowerBI, Metabase, Looker, Git, and cloud data warehouses (e.g., Snowflake or BigQuery). **Growth Path**: Starting as a Data Analyst, high performers can move into Senior Analyst, Product Analytics Lead, or transition to Data Science roles as the company expands its AI capabilities. The role offers exposure to end‑to‑end analytics, from data engineering to model evaluation, providing a solid foundation for a data‑centric career. **Why Join GoodSpace?** You will work on real‑world problems that impact millions of job seekers across India, enjoy high ownership, fast learning, and direct interaction with founders. The AI‑first culture encourages experimentation, and the startup environment offers rapid career progression, mentorship, and the chance to shape a product that truly matters.