Data Analytics Specialist

Key Skills: Statistics, SQL, Python, A/B Testing, Hypothesis Testing, Regression, Product Analytics, Data Visualization (UDP, Power BI), Stakeholder Management, Business Metrics, Data Automation, Dashboarding, Data Storytelling, Data Governance.

Roles & Responsibilities:

• Manage large datasets, lead quantitative analyses, and deliver strategic insights.
• Build and deploy statistical models, including hypothesis testing, A/B testing, product experimentation, and regressions.
• Optimize e-commerce funnels, retention strategies, and key performance metrics.
• Define, evaluate, and refine business and product metrics to guide optimization and innovation.
• Design and deliver executive-level dashboards and reporting solutions using tools like UDP and Power BI.
• Collaborate with cross-functional teams, managing stakeholder expectations and aligning teams with business goals.
• Apply advanced analytics techniques and adopt innovative problem-solving approaches in dynamic environments.
• Drive automation of data pipelines and processes to improve scalability and efficiency.
• Interpret complex data sets and present findings to both technical and non-technical stakeholders in a clear and actionable manner.
• Mentor junior analysts, promoting best practices in data analysis and storytelling.
• Contribute to the development of data governance standards and ensure data quality across projects.

Experience Required:

• 5-7 years of hands-on experience in advanced analytics, statistical modeling, and data-driven decision making.
• Proven experience in building scalable data workflows and automation solutions.
• Strong track record of influencing product and business strategy through deep analytical insights.
• Experience working closely with product, marketing, and engineering teams to define KPIs and measure success.

Education:  B.E., B.Tech