Key Responsibilities: 
<ul>
<li style="text-align:start;">Develop and implement robust data analysis frameworks and methodologies. </li>
<li style="text-align:start;">Build and maintain data dashboards and reports to track key business metrics and monitor performance. </li>
<li style="text-align:start;">Conduct in-depth data analysis to identify trends, uncover insights, and inform strategic decisions. </li>
<li style="text-align:start;">Develop and present data-driven presentations to stakeholders across the organization. </li>
<li style="text-align:start;">Collaborate closely with cross-functional teams (product, marketing, sales, operations) to understand their data needs and provide actionable insights. </li>
<li style="text-align:start;">Build and mentor a high-performing team of analysts (future expectation). </li>
<li style="text-align:start;">Identify opportunities for data-driven innovation and process improvement. </li>
<li style="text-align:start;">Ensure data quality and integrity across all systems. </li>
<li style="text-align:start;">Stay abreast of the latest advancements in data analytics and visualization. </li>
</ul>
Qualifications: 
<ul>
<li style="text-align:start;">4+ years of experience in an analytics role, preferably in a high-growth startup environment. </li>
<li style="text-align:start;">Exceptional SQL skills and experience with data warehousing and ETL processes. </li>
<li style="text-align:start;">Strong experience with data visualization tools (e.g., Tableau, Power BI, Looker). </li>
<li style="text-align:start;">Excellent communication, presentation, and storytelling skills. </li>
<li style="text-align:start;">Ability to translate complex data into actionable insights and recommendations. </li>
<li style="text-align:start;">Strong analytical and problem-solving skills with the ability to think critically and independently. </li>
<li style="text-align:start;">Growth mindset with a strong desire to learn and adapt to new challenges. </li>
<li style="text-align:start;">Bachelor's degree in Statistics, Mathematics, Economics, Computer Science, or a related field. </li>
</ul>
Bonus Points: 
<ul>
<li style="text-align:start;">Experience building and scaling data infrastructure and systems. </li>
<li style="text-align:start;">Experience with machine learning and predictive modeling techniques. </li>
</ul>

Growth Marketing in New Delhi (UID-8897)

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