Product Analyst, Tech Platform & Data
IndiaFull-TimeMiddle
Salary not disclosed
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Job Details
- Experience
- 2–4 years
- Required Skills
- AWSSQLGCPSnowflakeJiraTableauAzureConfluenceBigQueryLooker
Requirements
- 2–4 years of experience as a Product Analyst, Data Analyst, Business Analyst, or Associate Product Manager in a technical or data-driven environment
- Strong proficiency in SQL with experience writing complex queries on data warehouses such as Snowflake, BigQuery, or similar platforms
- Good understanding of data infrastructure concepts including APIs, data pipelines, warehousing, and BI systems
- Familiarity with cloud environments (AWS, GCP, or Azure) and modern software architectures such as microservices
- Experience with BI tools such as Tableau, Metabase, Looker, or Power BI for building dashboards and reports
- Strong analytical and problem-solving skills with the ability to interpret complex datasets into actionable insights
- Excellent written communication skills, with the ability to translate technical findings into clear business narratives
- Experience using product and project management tools such as Jira and Confluence
- Bachelor’s degree in Computer Science, Engineering, Statistics, or a related analytical field (or equivalent practical experience)
Responsibilities
- Own the tracking, analysis, and reporting of key platform metrics including API performance, system reliability, data quality, and developer adoption trends
- Build and maintain dashboards to monitor platform health, usage patterns, and operational KPIs for internal and external stakeholders
- Analyze large datasets using SQL to surface insights, identify anomalies, and recommend product improvements
- Support product managers in writing PRDs, user stories, acceptance criteria, and maintaining structured product documentation
- Conduct stakeholder interviews and synthesize qualitative feedback into clear problem statements and product opportunities
- Monitor data pipeline health and collaborate with engineering and data teams to ensure accuracy, consistency, and reliability of data systems
- Assist in sprint planning, backlog management, dependency tracking, and preparation of product and executive review materials
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