Lead Analyst- Data Engineering

Company Description

WNS (Holdings) Limited (NYSE: WNS), is a leading Business Process Management (BPM) company. We combine our deep industry knowledge with technology and analytics expertise to co-create innovative, digital-led transformational solutions with clients across 10 industries. We enable businesses in Travel, Insurance, Banking and Financial Services, Manufacturing, Retail and Consumer Packaged Goods, Shipping and Logistics, Healthcare, and Utilities to re-imagine their digital future and transform their outcomes with operational excellence.

We deliver an entire spectrum of BPM services in finance and accounting, procurement, customer interaction services and human resources leveraging collaborative models that are tailored to address the unique business challenges of each client. We co-create and execute the future vision of 400+ clients with the help of our 44,000+ employees. 

WNS Triange

The Research & Analytics (R&A) journey for WNS began in 2003. The initial years saw strong organic growth in the areas of customer analytics, marketing analytics, research and subsequently diversified in more industry specific specialisms such as actuarial, claims, risk, and loyalty analytics. These served as a platform for its growth which got further bolstered by investments in multiple acquisitions and continuous capability developments in line with market trends. Today WNS is recognized as a major research & analytics service provider in the industry.

Our R&A business unit is currently a 3,000+ strong team comprising of consultants, data scientists, data engineers, visualization experts, researchers as well as experienced industry practitioners servicing 100+ clients.

Some of Triange offerings:

• End to end Unified analytics offerings from data to insights including data engineering, visualization, and cloud-based services.
• Enable Process-embedded analytics solutions to drive digital transformation goals for our clients.
• Leverage our scalable AI/ML based cognitive products and platforms to deliver non-linear benefits.
• Wide repertoire of industry and domain specific bespoke analytics solutions help achieve clients’ business goals.
• Consulting services to our clients to help them tap into their data assets and enable business decision making.
• Delivered phenomenal business outcomes to clients across all verticals using proprietary analytics embedded products

We continuously develop innovative solutions through our Analytics Innovation Center to address critical business problems for clients. We are aggressively building out our technology-enabled advanced analytics capabilities such as machine learning, cognitive, and artificial intelligence. We have a dedicated products team that works on developing new, cutting-edge products, relevant to our client needs. We currently have 20+ productized solutions with multiple developments in the pipeline. In the recent past, we have won more than 20 awards in various international forums in recognition of our quality of products, innovation, and service delivery.

We are also developing a steady stream of future-ready next gen analytics talent through multiple avenues including partnerships with educational institutes such as Wharton, NIIT, ISME etc.

We are leveraging partnerships with niche vendors and cloud service providers to experiment with new product and service lines in a cost-effective manner helping to develop new business models and offer newer solutions to clients. © Copyright 2022 WNS (Holdings) Ltd. All rights reserved 2

Some of our leading clients include:

• Leading global multi-category CPG company
• World’s largest multinational hotel chain
• Leading global beverage brand
• Top 2 global food major
• Top 3 diversified technology major
• Top 3 global media & entertainment company
• Global multi-line insurance company
• US headquartered life insurance Company
• US headquartered life insurance and Financial
• Services Company
• Leading global customer insights company
• Top 10 North American retail bank
• Top 20 Global Pharmaceutical Major
• Top 3 global airline
• Top 3 global travel agency
• Leading European retail chain
• Global P&C insurance and reinsurance
• Global P&C insurance company

WNS Triange – Data, Analytics and AI Powering Business Growth & Innovation

WNS Triange enables organizations from 10+ industries to articulate their business’ data needs, distill the insights and interventions required, develop a data strategy and then translate it into action. Our domain expertise, co-creation labs, strategic partnerships, skin-in-the-game approach, and proven track record of delivering high-end tech solutions make us the ideal Data, Analytics and AI partner for our clients.

At WNS Triange, we believe it is the performance that matters — not just creative data sets, interesting patterns, or killer algorithms. Our team of 4000+ analysts, data scientists and domain experts combine 20+ years of experience and 25+ productized solutions and accelerators to deliver outcomes that matter most to 120+ global clients, at speed and scale.

Built on three core pillars – Triange Consult, Triange NxT and Triange CoE, WNS Triange supports clients at every stage of their data journey, powering their transformation to “Intelligent Enterprises.”  

Job Description

• Data processing, data manipulation by strong coding capability on R, SQL, R-Shiny and Python (possibly SAS also).
• Have experience in using  bitbucket/Github, r MLflow, MLOps  and AWS/data bricks or other data science platform experiences
• Keen to work on process automation and optimisation.
• Able to do troubleshooting independently or debugging R coding or understand R packages.
• End to End - Gathering Requirements, Planning and Software System Design, Development , Deployment, code optimisation and Monitoring.
• Data Quality, Data –loading, data – prep,  Data Manipulation  -  coding, testing, prod deployment
• Recommend  tools and ideas for automation, hands-on with data structure and some ETL
• Strong in computing fundamentals, involving data structure and algorithms
• Strong in a particular programming language, strong preference in R, R-Shiny, SQL
• Through understanding of DevOps and Agile cycle, and tools
• Comfortable with Git, Linux as well as the concept of REST APIs
• Experience in SQL is highly preferred, with experience working with cloud data warehouses such as redshift

Qualifications

• B.E.Comp Science  or equivalent
• R-Coding - Must
• R-Shiny - Must
• Advanced SQL - Must
• Python - Must
• Spark
• Snowflakes
• Github - Must
• AWS  - Must
• Java – good to have
• Azure – Must
• Data Warehouse knowledge - Must
• Dev Ops - Docker /Jenkins -  Must have
• Data Bricks – Must
• Rest API – good to have
• ETL/ELT - Must
• Cloud Services – AWS, S3, EC2