Description

Principal Accountabilities

As Deputy Manager you will:

  • Work with senior stakeholders to identify opportunities to leverage data to drive business decisions through analytical models and solutions
    • Marketing campaigns, execution and analysis
    • Data extraction, pre - processing, analysis of structured & unstructured data, and data visualization
    • Analyze large amounts of information to discover trends and patterns
    • Ad-hoc analysis and sharing insights with the business users
    • Embed automated processes for model deployment, and implementation
  • Be responsible for learning and development on self and team 
  • Ensure adherence with all the applicable compliance policies (Data security policy, AML, operational risk, Functional manual and business standards of Organization as applicable). Take timely action on Audit comments and be able to demonstrate compliance with Internal controls

 

Major Challenges

  • Availability and collection of quality data to make the overall analytics process more reliable and valid 
  • Lack of analytics orientation/ slow adoption of analytics in the organization and therefore needing to continuously influence and seek buy-in from key stakeholders 

 

Decisions

Following decisions are taken by the role (within the allocated budget and in compliance with regulatory requirements):

  • Take decision on solutions, specific tools, techniques, variables, data sources, etc.

 

Interactions:

Internal Clients- Roles you need to interact with inside the organization to enable success in your day to day work    

  • Sales PMOs
  • IT
  • Marketing
  • Finance
  • CEO office
  • Regulatory, compliance and fraud prevention: To ensure the innovative use case and solution used abides to regulatory and compliance

 

Education
Bachelors or Masters in – Statistics, Economics, Operations Research, Engineering or Data Science

 


Work experience
2+ years of work experience as a data scientist or analyst 

 


Knowledge/Skills

  • Strong experience working with R, Python, SQL, Excel, MS Office and BI Tools 
  • Good knowledge of marketing analytics and sales interactions
  • Excellent understanding of ml techniques such as: Linear regression, logistic regression, decision tree, random forests, bagging & boosting techniques, SVM, neural networks and clustering techniques like K-means etc. 
  • Good analytical knowledge, ability to do quick data deep dive and provide insights to the business partners/Sr. Leaders
  • Ability to work in cross-functional teams. Strong Communication & interpersonal skills and drive for success
  • Strong team management and project management skills
     

 

SELECTION PROCESS:

  1. Interested Candidates are mandatorily required to apply through this listing on Jigya. Only applications received through Jigya will be evaluated further.
  2. Shortlisted candidates may be required to appear in an Online Assessment and /or a Screening Interview administered by Jigya on behalf on Bajaj Allianz
  3. Candidates selected after the screening rounds will be interviewed by Bajaj Allianz

Education

Bachelors or Masters