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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