Lead Associate - Power BI Developer
Gurgaon, India
Applications have closed
WNS Global Services
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.
Job Description
• Technical Expertise: In-depth knowledge of the Power BI platform, including Power BI Desktop, Power BI Service, Power Query, DAX, data modeling, data visualization, and integration with other Microsoft tools and services.• Data Modeling and Transformation: Skilled in data modeling techniques, data transformation, and data cleansing to ensure that data is structured and optimized for analysis and reporting.• Data Source Integration: Proficient in connecting Power BI to various data sources, including databases, spreadsheets, cloud services, and other business applications.• SQL Expertise: Understanding of SQL and is proficient in writing complex queries, joins, stored procedures, and functions to manipulate and retrieve data from databases.• Report and Dashboard Design: Expertise in designing compelling and interactive reports and dashboards that provide insights into data trends, patterns, and performance metrics.
Qualifications
MCA/BE/BTech/MTech/MSc (IT)/MBA (Systems/IT
* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Banking Data visualization Finance Power BI SQL
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