Rize People Konnect Pvt. Ltd | Jobs | AVP – Data Analyst – Digital – Bank | BigDataKB.com | 01-02-22

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Job Location: Mumbai

AVP – Data Analyst – Digital – Global Bank – Women only

Job Purpose:

– Identifying the Opportunities for Business growth

– Support business in meeting the Budgets through Analytical Insights

– Communicate results and ideas to key decision makers

Key Accountabilities:-

– Regular Portfolio Health Check-ups through Business Insights

– Identifying areas of growth and areas of sluggishness within portfolio

– Drive insight led actionable to help achieve portfolio targets

– Support Stakeholders in Business Reviews

– Support key business initiatives for data driven decisioning

Job Duties & responsibilities:

– Structure, define and execute data analysis to uncover insights and inform decision making for digital bank.

– Collaborate with regional & 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.

– Engage with business and product teams on the problem formulation and create solution framework.

– 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:

– Strong academic background

– Should be self-motivated and adaptable.

– Should possess a creative bent of mind and should be a strategic thinker.

– Should be focused and well organized

Technical Experience:

– Relevant years of experience in Data Science/Analytics (consumer banking, ecommerce, retail, telecoms, technology) with demonstrated track of generating value through data driven solutions.

– 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, Spark, etc.,

– Programming experience in Python, R, Spark, SAS, Tensor-Flow or other machine learning oriented programming languages/platforms.

– Good understanding of technology tools especially those related to analytics, data & modelling.

– Ability to communicate complex analysis/models across a diverse team.

– Good written and oral communication skills.

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