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Job Type   /   Job Level
Full-time   /   Fresh/Entry Level
Company Location
India

About the Company

GoodSpace is an AI-powered job platform helping millions of job seekers find the right opportunities faster. Our technology simplifies job discovery, improves hiring outcomes, and builds trust between candidates and employers. We’re now expanding our data team to strengthen our AI-driven product experiences.



About the Rol

eWe are looking for a detail-oriented Data Analyst who loves working with data, uncovering insights, and enabling better product and business decisions. You will work closely with product, engineering, and growth teams to build dashboards, run analyses, and support our AI initiatives


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Key Responsibiliti

  • esCollect, clean, and analyze large datasets from multiple sources (product, marketing, user behavior, etc.
  • ).Build and maintain dashboards and automated reports for internal team
  • s.Identify trends, patterns, and anomalies to support data-driven decision-making across product and business team
  • s.Collaborate with engineering to improve data pipelines and ensure data accurac
  • y.Conduct A/B tests, cohort analyses, funnel analyses, and performance trackin
  • g.Provide actionable insights to improve user journeys, retention, and job-matching outcome
  • s.Support model evaluation and data preparation for AI/ML projects (basic exposure is enough


).Requiremen

  • tsBachelor’s degree in Engineering, Statistics, Mathematics, Computer Science, Economics, or related fiel
  • d.Strong skills in SQL and Excel/Google Sheet
  • s.Experience with analytical tools like Python/R is a plus (not mandatory
  • ).Familiarity with BI tools (Tableau, PowerBI, Metabase, Looker, etc.
  • ).Strong problem-solving skills and attention to detai
  • l.Ability to present data clearly and translate complexity into actionable insight

s.Preferred Qualificatio

  • nsExperience working in a startup or fast-paced environmen
  • t.Understanding of user funnels, marketplace metrics, or job-tech/HR-tech analytic
  • s.Exposure to statistics, experimentation frameworks, or predictive analytic

s.What We Off

  • erWork on real problems impacting millions of job seeker
  • s.High ownership, fast learning, and close collaboration with founder
  • s.Opportunity to grow into data science, product analytics, or business intelligence role
  • s.A mission-driven, AI-first culture focused on impact and innovatio


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