Business Intelligence Associate

Associate III- Business Intelligence-HO & SUPPORT-CVM CoE - Corporate Centre of Excellence

Responsibilities
 Collecting and preparing data - identify the business data needed to produce the most useful insights. Understand the data sources and availability for solution.
 Building the analytics engine - ensure the solution solves the business problem in the most efficient and interpretable form for business users.
 Working with data scientist – to understand the business problem and design a suitable solution/ model to solve it.
 Validating and deriving business implications - synthesize complex analytics-derived insights into easy-to-understand, actionable recommendations that business users can easily extract and execute on.
 Implementing the solution and executing on insights - drive adoption among business users. Oversee the development of application to use the model and increase its adoption by internal marketing and incentives to the users. Requirements
Qualification – BTech/ BE/ BSc/ BStat/ MCA/ BA (Economics) from a reputed institute. MBA/ PGDM is preferred.
Experience – 2-6 years of experience in a similar role with a leading bank / NBFC / E – Commerce / Retail/ Manufacturing/ Telecom Company is required.
Technical skillsets-
 Hands-on experience of Python/ R and Advanced Excel.
 Candidate should possess basic knowledge of SQL and SAS.
 Visualisation skills are an added advantage.
 Should be very comfortable with Data manipulation, Data wrangling, Exploratory Data Analysis, Visualisation, etc.
 Theoretical knowledge of atleast two supervised and two unsupervised learning algorithms.
 He/she should have clarity on regression, classification and clustering techniques.
 Should be able to use Libraries and Packages such as
o R: dplyr, tidyr, ggplot2, stringr, caret, etc
o Python: numpy, pandas, matplotlib, seaborn, sklearn, re, etc.
Domain knowledge –
 Basic understanding of terminologies used in banking industry and knowledge of various banking products.
 Additionally, knowledge of common use cases (e.g., default predictions, segmentation etc.) in banking and financial services/ telecom/ ecommerce is important.
General technical fluency –
 Must possess strong acumen in quantitative analytics and structured problem solving.
 Good problem solving skills, ability to build storylines & recommendations for business stakeholder consumption i.e. Ability to “Think in Math, Speak in English”.
Presentation – should be good at verbal communication as well as presenting the findings in a lucid manner to the business users.

Experience Level

Mid Level