The IBA team within RA supports the business in Strategic capability that quantifies the impact of above-the-line (ATL) marketing, delivers accurate attribution across channels, and improves return on investments by informing right investment mix across ATL and BTL channels by focusing on following:

• Deep dive analysis to align attributions with spend
• Develop models using forecasting and regression techniques
• Performance analytics and measurement framework
• Scorecard development and insight generation
  
  

Team analyzes spend on various channels, optimizing the spend on acquisitions using various data analytics techniques to optimize the marketing spend and reduce the CPA

What’s expected from you?

As a Digital Business Analyst, we are seeking an analytics professional who should be able to perform below behaviors in their day-to-day role:

• Client Obsession – Create client centric analytic solution to business problems. Individual should be able to have a holistic view of multiple businesses and develop analytics solutions accordingly.
• Analytic Project Execution – Work on complex analytic projects. This would require an understanding of business context, conversion of business problems in modeling, and implementing such solutions to create economic value.
• Statistical mind set – Proficiency in basic statistics, hypothesis testing
• Presentation Skills: Delivering high class presentation to deliver the thoughts, the solutions or the problem for business stakeholders and senior management
• Project Management – Should have skillset to manage project in terms of creating project plan, assigning responsibilities, and ensuring appropriate communication
• Contribute to organizational initiatives in wide ranging areas including competency development, training, organizational building activities etc.
  
  

Skillset required:

The most important skill that our analyst should possess is their love for data, eagerness for new challenges & ability to leverage analytics to solve structured or unstructured problems and interpreting results Apart from these, they should also have the following skillset

• 4-8 years of experience in Analytics - Demonstrated evidence of solving business problems through well-structured analysis
• Work experience on supervised, unsupervised machine learning algorithms. For e.g.: linear and bayesian regressions, multi objective optimization techniques, classifiers, cluster analysis etc.
• Understanding of techniques like Market Mix Modelling, Price Elasticity models etc.
• Advanced level programming in SQL and Python/Pyspark
• Hands-on experience in analyzing and visualizing data using tools such as Tableau/Adobe/Google Analytics
• In depth understanding of analytics in CRM, Marketing and Financial Services
• Excellent presentation and communication skills
  
  

This job description provides a high-level review of the types of work performed. Other job-related duties may be assigned as required.