Product Analyst

2 weeks ago

Noida, India Zealant Consulting Group Full time

About the Role : We are looking for a Product Analyst who can turn data into insights and help drive product decisions for our fast-scaling B2C platform. The ideal candidate will have strong analytical skills, hands-on experience with SQL and DBT, and a passion for understanding user behavior to improve product performance and customer experience.Key Responsibilities : - Partner with Product Managers, Designers, and Engineers to define metrics, measure product performance, and identify growth opportunities.- Conduct in-depth data analysis to understand user journeys, conversion funnels, feature adoption, and retention drivers.- Build and maintain data models, pipelines, and dashboards using DBT, SQL, and analytics tools to provide real-time insights.- Translate complex datasets into actionable insights and recommendations for business and product teams.- Design and evaluate A/B tests, experiments, and product feature rollouts.- Collaborate with Data Engineering to improve data quality, tracking, and instrumentation across platforms.- Communicate findings clearly through reports, visualizations, and presentations to senior stakeholders.Key Skills & Tools : - Strong analytical and problem-solving skills with a data-driven mindset.- Advanced proficiency in SQL for querying large datasets.- Hands-on experience with DBT (Data Build Tool) for building scalable data models.- Familiarity with Python/R for data analysis is a plus.- Proficiency with BI/visualization tools such as Tableau, Looker, Power BI, or Metabase.- Understanding of statistical methods, experiment design, and hypothesis testing.- Experience working in B2C product environments (consumer tech, e-commerce, fintech, etc.).Qualifications : - Bachelors or Masters degree in Engineering, Mathematics, Statistics, Economics, or a related field.- 3 to 5 years of experience as a Product Analyst, Data Analyst, or similar role in a B2C company.- Proven ability to derive actionable insights from data and influence product decisions. (ref:hirist.tech)

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