Senior Business Analyst

About The Role

In this role, you are responsible for providing Analytics support to a team that solves large, complex and multi-phase (Gen)AI powered initiatives. You’d be working closely with Data Science and Product teams to provide high visibility Advance Analytics solutions.

The role requires a proactive candidate with a high level of ownership, someone who can handle ambiguous scenarios. The role requires someone with the ability to understand and discuss technical concepts, evaluate opportunistic ideas and communicate these. Act as “the enabler” that the team can depend on.

Requirement & Responsibilities

• 4-6 years of experience in the field of Analytics, Data Science (ML) with the ability to work proactively and handle ambiguous scenario
• Strong with SQL, Python, PySpark and having the drive to learn new tech stacks relevant to the Project
• Proven track record of taking ownership and delivering result in fast paced environment/ large scale projects
• Strong business acumen and Product thought thinking, with ability to think strategically and tactically to drive execution
• Anchor Analytics discussions with Product teams, with strong understanding of ML/ AI based Project lifecycle
• Ability to have strong verbal and written communication based on the audience
• Basic exposure to data pipelines, MLOps, cloud platform services
• Good to have: Being able to collaborate with stakeholders such as Data Science, Product teams and Leadership (if required)
• Good to have: High level understanding of Generative models
  
  

To succeed in this role – you should have the following

• 4-6 years of experience in the field of Analytics, Data Science (ML) with the ability to work proactively and handle ambiguous scenario
• Strong with SQL, Python, PySpark and having the drive to learn new tech stacks relevant to the Project
• Proven track record of taking ownership and delivering result in fast paced environment/ large scale projects
• Strong business acumen and Product thought thinking, with ability to think strategically and tactically to drive execution
• Anchor Analytics discussions with Product teams, with strong understanding of ML/ AI based Project lifecycle
• Ability to have strong verbal and written communication based on the audience
• Basic exposure to data pipelines, MLOps, cloud platform services
• Good to have: Being able to collaborate with stakeholders such as Data Science, Product teams and Leadership (if required)
• Good to have: High level understanding of Generative models, NLP