Assistant Manager-Analytics at WNS Global Services

Noida, Uttar Pradesh, India -

Full Time

Start Date

Immediate

Expiry Date

08 Oct, 26

Salary

0.0

Posted On

10 Jul, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Knime, Python, SQL, Power BI, Power Automate, Sharepoint, Machine Learning, Data Validation, ETL, Statistical Analysis, Project Management, Client Management, Data Visualization, Regression Analysis, Time Series Forecasting, Decision Trees

Industry

Business Consulting and Services

Description

Company Description WNS, part of Capgemini, is an Agentic AI-powered leader in intelligent operations and transformation, serving more than 700 clients across 10 industries, including Banking and Financial Services, Healthcare, Insurance, Shipping and Logistics, and Travel and Hospitality. We bring together deep domain excellence - WNS’ core differentiator - with AI-powered platforms and analytics to help businesses innovate, scale, adapt and build resilience in a world defined by disruption.Our purpose is clear: to enable lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and a differentiated impact. With three global headquarters across four continents, operations in 13 countries, 65 delivery centers and more than 66,000 employees, WNS combines scale, expertise and execution to create meaningful, measurable impact. Job Description Specifically, Assistant Managers should –  Understand the client objectives, and work with the Project Lead (PL) to design the analytical solution/framework. Be able to translate the client objectives / analytical plan into clear deliverables with associated priorities and constraints Organize/Prepare/Manage data and conduct quality checks to ensure that the analysis dataset is ready Explore and implement various statistical and analytical techniques (including machine learning) like linear/non-linear Regression, Decision Trees, Segmentation, time series forecasting as well as machine learning algorithms like Random Forest, SVM, ANN, etc.  Conduct sanity checks of the analysis output based on reasoning and common sense, and be able to do a rigorous self QC, as well as of the work assigned to junior analysts to ensure an error free output Interpret the output in context of the client’s business and industry to identify trends and actionable insights Be able to take client calls relatively independently, and interact with onsite leads (if applicable) on a daily basis Discuss queries/certain sections of deliverable report over client calls or video conferences Oversee the entire project lifecycle, from initiation to closure, ensuring timely and within-budget delivery. Collaborate with stakeholders to gather and refine business requirements, translating them into technical specifications. Manage a team of data analysts and developers, providing guidance, mentorship, and performance evaluations. Ensure data integrity and accuracy through rigorous data validation and quality checks. Facilitate effective communication between technical teams and business stakeholders to align project goals and expectations. Drive continuous improvement initiatives to enhance data analytics processes and methodologies. Act as a project lead, coordinating cross-functional teams and managing project timelines and deliverables. Client Management• Act as client lead and maintain client relationship; make independent key decisions related to client management• Be a part of deliverable discussions with clients over telephonic calls, and guide the project team on the next steps and way forwardTechnical Requirements:• Knowledge of how to connect Database with Knime e.g. snowflake, SQL db etc. along with SQL concepts like types of joins/union of data etc.• Read data from a DB and write it back to a database• Working of macros to avoid repetition of task, and enabling schedulers to run work flow(s)• Design and develop ETL workflows and datasets in Knime to be used by the BI Reporting tool• Perform end to end Data validation and prepare technical specifications and documentation for Knime workflows supporting BI reports.• Develop and maintain interactive dashboards and reports using PowerBI to support data-driven decision-making.• Lead and manage data analytics projects utilizing PowerBI, Python, and SQL to guide & deliver actionable business insights.• Be able to succinctly visualize the findings through a PPT, a BI dashboard (Tableau, Qlikview, etc.) and highlight the key takeaways from a business perspective Technology Level (Beg/Inter/Adv) Hands On Experience (In Years)KNIME Intermediate (L2 certified) 1.5 - 2 YearsPython Advanced 2.5 – 3 YearsSQL Intermediate 2 YearsPower Automate Intermediate 2 YearsSharepoint Intermediate 2 YearsPower BI Intermediate 2 Years Qualifications  Engineers from top tier institutes (IITs, DCE/NSIT, NITs) or Post Graduates in Maths/Statistics/OR from top Tier Colleges/Universities MBA from top tier B-schools

Responsibilities

Design and implement analytical frameworks and machine learning solutions to deliver actionable business insights for clients. Manage the full project lifecycle, including leading a team of analysts and maintaining strong client relationships.