<ul>
<li><strong>Educational Qualification :</strong> B.Tech / MCA/ BSc in Computer Science, Engineering or relevant field, from reputed Engineering <br>College/ Universities.
<br>MBA – Good to have.
</li>
<li><strong>Required Skillsets :</strong> ETL (Informatica, Talend, Terradata, Jasper, etc. ), BI Tools (Cognos, BO, Tableau, Power BI, etc.), DBMS, SQL, SSIS, SSRS (good to have)</li>
<li><strong>Language Expertise :</strong>English &amp; Hindi</li>
<li><strong>Total Experience :</strong>4-6 Yrs </li>
<li><strong>Relevant Experience :</strong> 3-4 Years</li>

<li><strong>Business Intelligence Solutions :</strong> 4-6 years of experience of working in BI and Analytics teams or projects and at least 3-4 years of experience as Data Analyst </li>
<li>In-depth understanding of database management systems, online analytical processing (OLAP) and ETL (Extract, transform, load) framework </li>
<li>Familiarity with BI technologies (e.g. Tableau, Microsoft Power BI, Oracle BI) • Translate business needs to technical specifications and then, Design, build and deploy BI solutions (e.g. reporting tools)</li>
<li>Collaborate with teams to integrate systems </li>
<li>Ability to test and validate analytical reports and data discovery outputs • Increase our understanding of customer engagement with business, setting KPIs, monitoring key trends, and partnering with the Product teams to help optimize customer experience based on insight delivered. </li>
<li>Perform hands-on analysis of large volumes of data and across multiple datasets primarily using SQL and/or Python/R.</li>
<li>Ability to identify actionable insights by analyzing data in respect to the business focus/needs.</li>
<li>Design models to solve business problems and, where appropriate, manage integration of the insights into regular reporting by the Reporting/BI teams • Use a range of analytical and statistical techniques to answer key questions from stakeholders </li>
<li>Consult/support ad-hoc requests for data and analysis</li>
<li><b>Good to have:</b> Experience in Data Science domain </li>
<li>Aware of classical statistical techniques (AUC, Correlation Analysis, Clustering Analysis, Hypothesis Testing) to draw coherent conclusions about business data</li>
<li>Experience in data mining, data wrangling, machine learning</li>
<li><strong>Personal Skills :</strong>Must have experience of client handling roles, esp. requirement gathering and elicitation </li>
<li>Must have worked in cross functional team</li>
<li>Proven abilities to take initiative and be innovative </li>
<li>Analytical mind with a problem-solving aptitude </li>
<li>Measurable experience in managing and growing profitable satisfied key projects and/or relevant project management experience.</li>
<li>Good Communication and Analytical Skills</li> </ul>