Responsibilities:

<ul>
<li>Lead analytics charter across multiple business units such as Product, Growth, Supply Chain, Marketing, and Operations.</li>
</ul>

<ul>
<li>Partner with CXOs and senior leaders to identify business opportunities and guide data-informed strategic decisions.</li>
</ul>

<ul>
<li>Own and institutionalize key company-wide metrics, reporting frameworks, and data processes.</li>
</ul>

<ul>
<li>Drive large-scale analytical initiatives including customer segmentation, churn modeling, demand forecasting, and pricing analysis.</li>
</ul>

<ul>
<li>Mentor and manage a team of senior business analysts and analytics managers to deliver high-quality insights and drive operational efficiency.</li>
</ul>

<ul>
<li>Build scalable dashboards and automation pipelines to democratize data across teams.</li>
</ul>

<ul>
<li>Champion a culture of experimentation, A/B testing, and rigorous performance analysis.</li>
</ul>

<ul>
<li>Collaborate closely with Data Engineering and Product teams to ensure a clean, accessible, and reliable data infrastructure.</li>
</ul>

Requirements:

<ul>
<li>Bachelor's or Master's degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field.</li>
</ul>

<ul>
<li>7-12 years of experience in business analytics, with at least 2-3 years in a leadership role.</li>
</ul>

<ul>
<li>Prior experience in a high-growth startup, e-commerce, or consumer tech environment is highly preferred.</li>
</ul>

<ul>
<li>Advanced proficiency in SQL and strong experience with data visualization tools (e. g., Tableau, Looker, Power BI).</li>
</ul>

<ul>
<li>Hands-on knowledge of Python, R, or similar tools for statistical modeling and automation.</li>
</ul>

<ul>
<li>Expertise in analytical techniques including forecasting, cohort analysis, LTV modeling, and funnel optimization.</li>
</ul>

<ul>
<li>Deep understanding of business KPIs, especially in consumer internet or operational analytics contexts.</li>
</ul>

<ul>
<li>Strong leadership and stakeholder management capabilities, with the ability to influence non-technical teams and C-level executives.</li>
</ul>

<ul>
<li>Excellent communication and storytelling skills to translate complex data into business actions. </li>
</ul>

Business Analytics

Responsibilities: Lead analytics charter across multiple business units such as Product, Growth, Supply Chain, Marketing, and Operations. Partner with CXOs and senior leaders to identify business opportunities and guide data-informed strategic decisions. Own and institutionalize key company-wide metrics, reporting frameworks, and data processes. Drive large-scale analytical initiatives including customer segmentation, churn modeling, demand forecasting, and pricing analysis. Mentor and manage a team of senior business analysts and analytics managers to deliver high-quality insights and drive operational efficiency. Build scalable dashboards and automation pipelines to democratize data across teams. Champion a culture of experimentation, A/B testing, and rigorous performance analysis. Collaborate closely with Data Engineering and Product teams to ensure a clean, accessible, and reliable data infrastructure. Requirements: Bachelor's or Master's degree in Engineering, Statistics, Economics, Mathematics, or a related quantitative field. 7-12 years of experience in business analytics, with at least 2-3 years in a leadership role. Prior experience in a high-growth startup, e-commerce, or consumer tech environment is highly preferred. Advanced proficiency in SQL and strong experience with data visualization tools (e. g., Tableau, Looker, Power BI). Hands-on knowledge of Python, R, or similar tools for statistical modeling and automation. Expertise in analytical techniques including forecasting, cohort analysis, LTV modeling, and funnel optimization. Deep understanding of business KPIs, especially in consumer internet or operational analytics contexts. Strong leadership and stakeholder management capabilities, with the ability to influence non-technical teams and C-level executives. Excellent communication and storytelling skills to translate complex data into business actions.

Business Analytics in Mumbai (UID-14321)

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Job Description for Business Analytics

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