Key Accountabilities 
<ul>
<li>Regular Portfolio Health Check-ups through Business Insights</li>
</ul>

<ul>
<li style="margin-left:0px;">Identifying areas of growth and areas of sluggishness within portfolio</li>
</ul>

<ul>
<li style="margin-left:0px;">Drive insight led actionables to help achieve portfolio targets</li>
</ul>

<ul>
<li style="margin-left:0px;">Support Stakeholders in Business Reviews</li>
</ul>

<ul>
<li style="margin-left:0px;">Support key business initiatives for data driven decisioning</li>
</ul>
 Job Duties &amp; Responsibilities 
<ul>
<li style="margin-left:0px;">Structure, define and execute data analysis to uncover insights and inform decision making for digital bank</li>
</ul>

<ul>
<li style="margin-left:0px;">Engage with business and product teams on the problem formulation and create solution framework</li>
</ul>

<ul>
<li style="margin-left:0px;">Collaborate with regional &amp; local counterparts to define and align performance metrics</li>
</ul>

<ul>
<li style="margin-left:0px;">Support ad-hoc data requests for management meetings</li>
</ul>

<ul>
<li style="margin-left:0px;">Formulate requirements and work with data engineering and technology team to develop and validate automated data pipelines for business performance dashboards</li>
</ul>

<ul>
<li style="margin-left:0px;">Design A/B test experiments to test the model effectiveness and Analyze to identify the target segments</li>
</ul>

<ul>
<li style="margin-left:0px;">Drive the testing and deployment of the machine learning products into production</li>
</ul>

<ul>
<li style="margin-left:0px;">Understand the Product Journeys and help business to improve the customer experience </li>
</ul>
Required Experience 
<ul>
<li style="margin-left:0px;">3 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) with demonstrated track of generating value through data driven solutions</li>
</ul>

<ul>
<li style="margin-left:0px;">B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred</li>
</ul>

<ul>
<li style="margin-left:0px;">Prior Working experience of Analytics is must</li>
</ul>

<ul>
<li style="margin-left:0px;">Should have full understanding of applications of DS/ML/AI solutions to various business problems</li>
</ul>

<ul>
<li style="margin-left:0px;">Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL, Hive, PySpark, etc</li>
</ul>

<ul>
<li style="margin-left:0px;">Programming experience in Python, R, PySpark, TensorFlow or other machine learning oriented programming languages/platforms</li>
</ul>

<ul>
<li style="margin-left:0px;">Good understanding of technology tools especially those related to analytics, data &amp; modelling</li>
</ul>

<ul>
<li>Ability to communicate complex analysis/models across a diverse team</li>
</ul>

<ul>
<li style="margin-left:0px;">Good written and oral communication skills</li>
</ul>

<ul>
<li style="margin-left:0px;">Should have full understanding of at least one Banking Product</li>
</ul>

<ul>
<li style="margin-left:0px;">Strong academic background</li>
</ul>

<ul>
<li style="margin-left:0px;">Should be self -motivated, adaptable, focused &amp; well organized</li>
</ul>

<ul>
<li style="margin-left:0px;">Should possess a creative bent of mind and should be a strategic thinker </li>
</ul>

Data Analytics

Key Accountabilities Regular Portfolio Health Check-ups through Business Insights Identifying areas of growth and areas of sluggishness within portfolio Drive insight led actionables to help achieve portfolio targets Support Stakeholders in Business Reviews Support key business initiatives for data driven decisioning Job Duties &amp; Responsibilities Structure, define and execute data analysis to uncover insights and inform decision making for digital bank Engage with business and product teams on the problem formulation and create solution framework Collaborate with regional &amp; local counterparts to define and align performance metrics Support ad-hoc data requests for management meetings Formulate requirements and work with data engineering and technology team to develop and validate automated data pipelines for business performance dashboards Design A/B test experiments to test the model effectiveness and Analyze to identify the target segments Drive the testing and deployment of the machine learning products into production Understand the Product Journeys and help business to improve the customer experience Required Experience 3 years of experience in Data Science/Analytics (Consumer Banking, Ecommerce, Retail, Telecoms) with demonstrated track of generating value through data driven solutions B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred Prior Working experience of Analytics is must Should have full understanding of applications of DS/ML/AI solutions to various business problems Proficiency in using databases like Teradata, NoSQL and Hadoop using SQL, Hive, PySpark, etc Programming experience in Python, R, PySpark, TensorFlow or other machine learning oriented programming languages/platforms Good understanding of technology tools especially those related to analytics, data &amp; modelling Ability to communicate complex analysis/models across a diverse team Good written and oral communication skills Should have full understanding of at least one Banking Product Strong academic background Should be self -motivated, adaptable, focused &amp; well organized Should possess a creative bent of mind and should be a strategic thinker

Data Analytics in New Delhi (UID-16405)

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