Job Location: India
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 actionables 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:-
Non-technical 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:-
- 3-12 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, TensorFlow or other machine learning oriented programming languages/platforms.
- Good understanding of technology tools especially those related to analytics data & modelling.
โข Ability to communicate complex analysis/models across a diverse team. โข Good written and oral communication skills.
Education / Preferred Experience:-
- B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.
- Prior Working experience of AI / ML / DS is must
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 actionables 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:-
Non-technical 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:-
- 3-12 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, TensorFlow or other machine learning oriented programming languages/platforms.
- Good understanding of technology tools especially those related to analytics data & modelling.
โข Ability to communicate complex analysis/models across a diverse team. โข Good written and oral communication skills.
Education / Preferred Experience:-
- B.Sc./ M.Sc. or equivalent degree in Statistics, Analytics, Applied Mathematics, Operation Research, or equivalent quantitative fields preferred.
- Prior Working experience of AI / ML / DS is must.
Primary Location: India-Maharashtra-Mumbai
Other Locations: India
Job: Analytics
Schedule: Regular
Employee Status:
Full-time
:
Job Posting: Feb 15, 2022, 7:06:00 AM
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