DBS Bank | Jobs | Data Analyst | BigDataKB.com | 15-02-22

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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.

โ€ข Ability to communicate complex analysis/models across a diverse team. โ€ข 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.

โ€ข Ability to communicate complex analysis/models across a diverse team. โ€ข 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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