Data Analyst @ GoodSpace AI
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Data Analyst at GoodSpace AI
We are looking for a detail-oriented and analytical Data Analyst with 1–3 years experience to join our remote team. You will be responsible for collecting, analyzing, and interpreting large datasets to drive data-based decision making and operational efficiency.
Key Responsibilities
- Gather, clean, and organize data from multiple sources.
- Analyze datasets to identify trends, patterns, and business opportunities.
- Develop and maintain interactive dashboards and reports using Power BI, Tableau, or Excel.
- Support data-driven decision-making by providing actionable insights.
- Collaborate with cross-functional teams for defining data requirements.
- Build data models and KPIs to track business performance.
- Conduct ad hoc analysis and prepare visualizations for management.
- Ensure data integrity, governance, and confidentiality.
Required Skills & Qualifications
Bachelor’s or Master’s degree in related field, 1–3 years of experience as a Data Analyst, proficiency in SQL, Excel, and data visualization tools, strong understanding of data analysis techniques, and excellent attention to detail.
Good to Have
- Familiarity with ETL processes, data pipelines, or APIs.
- Knowledge of Google Analytics, business dashboards, or CRM data.
- Experience with large datasets or cloud data platforms like AWS, BigQuery, Snowflake.
- Exposure to predictive modeling and machine learning concepts.
What We Offer
Competitive salary between ₹12–18 LPA, 100% remote work across India, opportunity to work with diverse datasets and innovative projects, and career growth with continuous learning and upskilling opportunities.
Key skills/competency
Data Analysis, SQL, Excel, Power BI, Tableau, Data Visualization, Data Cleaning, Dashboarding, Analytical, Remote
How to Get Hired at GoodSpace AI
🎯 Tips for Getting Hired
- Customize your resume: Highlight experience with SQL, Excel, and dashboards.
- Research GoodSpace AI: Understand their data culture and projects.
- Tailor your cover letter: Emphasize remote work successes and analytics skills.
- Practice common data questions: Prepare technical and scenario-based answers.