Analytics Consultant, SAS

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Analytics Consultant, SAS

Fractal Analytics

Bangalore INR 12 - 15 LPA Experience : 1 - 7 YRS. Openings: 3


Role Brief: 

We are seeking a strong candidate with at-least 1 - 7 years of analytics experience in Financial Services or Banking domain to fill a new and exciting Consultant position. We are looking for candidates who have an experience in building and delivering analytics solutions using SAS & SQL.

About Fractal:

Founded in 2000, Fractal Analytics is a strategic analytics partner to the most admired Fortune 500 companies globally and helps them power every human decision in the enterprise by bringing analytics & AI to the decision-making process. Fractal has more than 1,200 employees spread across 14 global locations including the United States, UK and India. 

Fractal has been featured as a leader in the Customer Analytics Service Providers Wave™ 2017 by Forrester Research, a Great Place to Work by The Economic Times in partnership with the Great Place to Work® Institute and recognized as a ‘Cool Vendor’ and a ‘Vendor to Watch’ by Gartner.

Key competencies:

  • Problem solvingskills – Strong problem-solving skills to translate business requirements of clients into analytics problem and design analytics solutions with measurable and actionable outcomes
  • Technical and domain expertise- Expertise in SAS, SQL & Advanced Analytics / Statistical Techniques such as Generalized Linear Models, Logistic Regression, ANOVA, Decision Trees, Bayesian, Forecasting etc. and experience in Financial Services and Banking
  • Execution excellence - Ensure regular client touchpoints, work along-side multiple business stakeholders, end-to-end project execution, maintain proper documentation, ensure risk mitigation, ability to understand multiple and large data sources and ensure tracking of execution & success metrics is done effectively & efficiently

Min. Qualification:

Must Have:

  • Proficiency in SAS, SQL & Advanced Analytics / Statistical Techniques such as Generalized Linear Models, Logistic Regression, ANOVA, Decision Trees, Forecasting etc.
  • At least 1- 7 years of relevant experience in the field of Analytics with experience in Financial Services and Banking
  • Experience of working with large and multiple datasets / data warehouses
  • Excellent written and verbal communication
  • Strong problem-solving skills
  • Attention to detail and ability to deliver accurate client outputs

Good to Have:

  • Experience in Python or R programming language
  • Understanding or experience of implementing solutions based on - Segmentation models, Product Optimisation, Marketing Analytics, Consumer Lending, Mortgage Analytics, Payments, Card Industry, Campaign Analytics, Pricing Analytics, Portfolio Analytics, Profitability Models

Skills Required:

SAS, SQL, Advanced Analytics, Statistical Techniques


  • Interface with clients to understand business requirements and translate them into analytical problems that can be addressed using analytical techniques
  • Excellent in problem-solving skills and able to work on open ended problems
  • Co-ordinate with multiple Business teams, conceptualize and develop analytics solutions, communicate with senior management, gain approvals and deliver clean implementation on time
  • Deliver with limited direction, usually within a complex environment, to drive rigorous, fact-based solutions and insights for clients
  • Ability to develop models & recommend insights, perform hypothesis testing, Campaign measurement, Segmentation models
  • Articulate and document project requirements and client meetings
  • Communicate project results in the client’s business context
  • Seek client feedback after each delivery and learn and apply insights on subsequent projects
  • Support business development teams in preparing client pitches

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