Senior analyst-model validation

Data Analytics Full-Time Bangalore, India ReqID:4395


Description

What You Have

Success in the role requires an innovative mind, ability to challenge business requirements and technical solutions a proven record of accomplishment of understanding/designing analytics requirements and a strong background in big data environments

 

The role also has a strong front-ending component, wherein high level of interaction of product teams will be required to iterate on business requirements, success criteria and communication of validation results

 

Role and Responsibilities

  1. Understand product/solution requirement from product and development teams
  2. Design and iterate on relevant and appropriate success criteria for product/solutions/data science models
  3. Develop end to end validation strategy covering multiple gates of development
  4. Identify business use cases for validation of end product/ solution in tandem with product and business analytics
  5. Work hand-in-hand with Product, Data Science,Delivery, Engineering and Business Analytics teams to drive synergy for end to end validation including any unit/sanity tests to be done
  6. Work iteratively to provide real time observations to development team based on validation strategy to ensure product/solution meets the requirement brief
  7. Document known issues/bugs/observations along with impact and triaged remediation and ensure the same is communicated to product/customers upfront
  8. Mentor junior team members / colleagues on projects
  9. Act as single point of contact with the product team in gating a product/solution from the Analytics COE ; Take accountability for ensuring validation results are communicated and understood by stakeholders
  10. Identify opportunities to automate validation use cases for regular deliverables and minimize analyst intervention
  11. Build a strong methodology driven practice for analytics solution validation

 

Qualifications and Experience

  • Masters/Bachelors Degree in Computer science and Engineering, MBA would be an added advantage
  • 3+ years of professional experience
  • At least 2+ years of experience with big data analytics in business analytics, data science or engineering or a preferably a combination of all three
  • Strong background in Big data– Hands-on Exposure to Hadoop, Nosql, Python, Spark, Scala etc. is a must
  • Excellent communication skills – Internal/external client facing experience is preferred
  • Ability to create, articulate and validate business end use cases is critical
  • Proven experience in working across cross functional teams
  • Understanding of Analytics Quality/ model validation processes will be an advantage