Power BI Developer + SQL + NLP + Azure - 6 yrs - Deputy Manager - RNA at WNS Global Services

, karnataka, India -

Full Time

Start Date

Immediate

Expiry Date

05 Jan, 26

Salary

0.0

Posted On

07 Oct, 25

Experience

5 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

Power BI, SQL, NLP, Azure, Data Modeling, Data Integration, ETL, DAX, Data Visualization, Business Intelligence, Problem-Solving, Communication, Python, R, Dashboard Development, Performance Optimization

Industry

Business Consulting and Services

Description

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 Job Summary:We are seeking a highly skilled Power BI Developer with 5-8 years of experience in business intelligence and data visualization. The ideal candidate will be responsible for designing, developing, and implementing Power BI dashboards and reports to support data-driven decision-making for a Global client organization. Key Responsibilities:Dashboard Development: Design, develop, and maintain interactive and user-friendly Power BI dashboards and reports.Data Modeling: Create and manage data models using Power Query, DAX, and SQL to optimize report performance.Data Integration: Extract, transform, and load (ETL) data from multiple sources (SQL databases, APIs, Excel, cloud platforms, etc.).Business Insights: Work closely with stakeholders to understand business requirements and translate them into actionable insights.Performance Optimization: Optimize Power BI reports and underlying data structures for enhanced efficiency and performance. Implement and utilize NLP techniques within Power BI to extract insights from unstructured text data.Security & Governance: Implement data security, role-based access controls, and best practices in Power BI services.Collaboration: Coordinate with cross-functional teams, including IT, data analysts, and business teams to improve reporting solutions.Troubleshooting: Identify and resolve data inconsistencies, performance bottlenecks, and report-related issues.Documentation: Maintain proper documentation for report designs, data flows, and technical specifications. Qualifications Required Skills & Qualifications:Education: Bachelor’s/Master’s degree in Computer Science, Information Technology, Data Science, or a related field.Technical Expertise:5-8 years of experience in Power BI development, including Power Query, DAX, and data modeling. Strong proficiency in SQL for data extraction, transformation, and query optimization.Demonstrated experience applying NLP techniques to extract insights from text data. Experience integrating Power BI with cloud platform (Azure) is a plus.Knowledge of Python/R for data analysis is desirable but not mandatory. Acumen: Understanding of business intelligence, analytics, and data visualization best practices. Problem-Solving: Strong analytical and problem-solving skills with attention to detail.Communication: Excellent verbal and written communication skills to interact with stakeholders. Preferred Certifications:Microsoft Certified: Power BI Data Analyst AssociateMicrosoft Azure Data Fundamentals (Optional)

Responsibilities

The Power BI Developer will design, develop, and maintain interactive dashboards and reports to support data-driven decision-making. They will also create and manage data models, optimize report performance, and implement NLP techniques to extract insights from unstructured data.