Assistant Manager-Analytics at WNS Global Services

Gurgaon, haryana, India -

Full Time

Start Date

Immediate

Expiry Date

09 Aug, 26

Salary

0.0

Posted On

11 May, 26

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Python, SQL, Power BI, Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Unity Catalog, Data Pipeline Design, Data Governance, Data Processing

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 Job Description: We are seeking an experienced Python, SQL (intermediate), Power BI (Basic) & Azure expert to join our team. The ideal candidate will have a strong background in building and maintaining data pipelines and modify and write python codes. Key Responsibilities: Design, implement, and manage data pipelines using Azure Databricks (ADB), Azure Data Factory (ADF), and Azure Data Lake Storage (ADLS). Develop and optimize python queries to support data processing and analytics. Manage and configure Unity Catalog for data governance and access control. Collaborate with cross-functional teams to gather and understand data requirements. Ensure data quality, integrity, and security across all platforms. Troubleshoot and resolve data-related issues in a timely manner. Qualifications: Proven experience with Azure Databricks, Azure Data Factory, Azure Data Lake Storage, Unity Catalog, and Python.. Strong problem-solving skills and ability to work with complex data sets. Excellent communication skills, both written and verbal, with the ability to explain technical concepts to non-technical stakeholders. Ability to work independently and as part of a team in a fast-paced environment. Qualifications Post Graduate

Responsibilities

Design, implement, and manage data pipelines using Azure services and Python. Collaborate with cross-functional teams to ensure data quality, security, and governance via Unity Catalog.