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Data Analyst

About the Company
GoodSpace is an AI-powered job and career platform dedicated to helping millions of job seekers discover the most suitable opportunities more efficiently. Their technology aims to streamline job searches, enhance hiring effectiveness, and foster greater trust between candidates and employers. The company is actively expanding its data team to further bolster its AI-driven product offerings.
Job Description
GoodSpace AI is seeking a meticulous Data Analyst to join their remote team, contributing to data-driven product and business strategies. This role involves collaborating closely with product, engineering, and growth teams to develop comprehensive dashboards, conduct in-depth analyses, and provide crucial support for the company’s AI initiatives. The ideal candidate will possess a strong affinity for data exploration, insight generation, and the ability to translate complex data into actionable recommendations.
| Company Name | GoodSpace AI |
|---|---|
| Role | Data Analyst |
| Location | Remote |
| Salary | ₹9–12 LPA |
| Job Type | Full-time |
Responsibilities
- Gather, cleanse, and analyze extensive datasets sourced from various channels, including product usage, marketing campaigns, and user behavior.
- Develop and maintain interactive dashboards and automated reporting systems for internal stakeholders.
- Identify significant trends, patterns, and anomalies within data to inform data-driven decision-making across product and business departments.
- Collaborate with the engineering team to optimize data pipelines and ensure the integrity and accuracy of data.
- Design and execute A/B tests, cohort analyses, funnel analyses, and performance tracking studies.
- Deliver clear and actionable insights to enhance user experiences, improve retention rates, and optimize job-matching outcomes.
- Assist in the evaluation of AI/ML models and the preparation of data for related projects (initial exposure is sufficient).
Qualifications
- Bachelor’s degree in a quantitative field such as Engineering, Statistics, Mathematics, Computer Science, Economics, or a related discipline.
- Proficiency in SQL and Microsoft Excel or Google Sheets.
- Strong analytical and problem-solving abilities with exceptional attention to detail.
- Demonstrated ability to present data effectively and communicate complex findings in an understandable and actionable manner.
- Bachelor’s degree in Engineering, Statistics, Mathematics, Computer Science, Economics, or a related field.
Skills
ATS Keywords
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Frequently Asked Questions
Yes, the Data Analyst position is a fully remote role.
The compensation for this position is between ₹9 LPA and ₹12 LPA.
The company is looking for candidates with 0-3 years of experience.
Experience with analytical tools like Python and R is considered a plus and is not mandatory, but strong SQL and Excel skills are required.
There are opportunities to grow into roles such as Data Scientist, Product Analytics, or Business Intelligence.
Other Information
The role is based in a remote setting and offers a compensation package of ₹9–12 LPA. Candidates are encouraged to have a Bachelor’s degree in a related quantitative field and possess strong foundational skills in SQL and Excel/Google Sheets. While Python/R experience is beneficial, it is not a strict requirement. Familiarity with BI tools like Tableau or Power BI is expected. The company emphasizes a mission-driven, AI-first culture focused on impact and innovation, providing a fast-paced learning environment with high ownership.
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How to Apply
- Review Job Details: Read through all the job details on this page to understand the requirements and responsibilities.
- Click the Apply Link: Scroll down and click the “Apply Link” button to be redirected to the official website.
- Fill Out the Application: On the official website, fill out the application form with the provided information.
- Double-Check Your Information: Before submitting your application, review all the details you’ve provided to ensure accuracy and completeness.
- Submit Your Application: Once you’re satisfied with your application, submit it through the official website as instructed.










