Data Analytics (SQL ,Tableau /Power BI /Looker /Python (Pandas, NumPy)

Company Description
WNS (Holdings) Limited (NYSE: WNS) is a digital-led business transformation and services company that co-creates smarter businesses with more than 700 clients across 10 industries. We blend deep domain excellence, WNS core differentiation, with AI-powered platforms and analytics to help businesses innovate continuously, scale effortlessly, adapt swiftly and lead resiliently in a world defined by disruption.
Our purpose: Enabling lasting business value by designing intelligent, human-led solutions that deliver sustainable outcomes and differentiated impact.
3 4 13
Global Headquarters Continents Countries
700+ 66000+ 65
Clients Employees Delivery Centers

What you will do:

• Performance Analysis & Reporting: Design, develop, and maintain robust dashboards, reports, and analytical models to track key sales metrics, identify trends, and provide deep insights into sales performance across various segments (e.g., merchant acquisition, retention, growth, regional performance).
• Strategic Insights & Recommendations: Proactively identify opportunities for sales process improvements, efficiency gains, and revenue growth by analyzing sales data, market trends, and operational workflows. Present clear, concise, and actionable recommendations to sales leadership.
• Forecasting & Planning Support: Contribute to sales forecasting, capacity planning, and target setting processes by leveraging historical data, statistical models, and market intelligence to provide accurate projections.
• Data Infrastructure & Tools: Collaborate with data engineering and business intelligence teams to ensure data integrity, accessibility, and the development of scalable data solutions. Utilize SQL, Python, and advanced visualization tools (e.g., Tableau, Power BI) to extract, transform, and present data.

• Sales Optimization: Analyze sales funnel performance, conversion rates, and sales cycle efficiency to pinpoint bottlenecks and recommend solutions that streamline operations and enhance productivity.
• Ad-Hoc Analysis: Conduct deep-dive analyses on specific business questions or challenges, providing timely and accurate data-driven answers to support urgent strategic decisions.
  

Preferred qualifications:

• Experience:
  

○ 5+ years of experience in Sales Operations, Business Intelligence, Data Analytics, or a similar analytical role, with a strong emphasis on sales performance.
○ Demonstrated experience in the Grocery, Retail, E-commerce, or Q-commerce industry is highly preferred.

○ Proven track record of translating complex data into clear, actionable insights and presenting them to senior leadership.

• Technical Skills:
  

○ Proficiency in SQL for data extraction and manipulation is required.
○ Proficiency with data visualization tools (e.g., Tableau, Power BI, Looker) for dashboard creation and reporting.

○ analytical programming skills in Python (Pandas, NumPy) or R for advanced data analysis and modeling.
○ Experience with CRM systems (e.g., Salesforce) and understanding of sales data structures.

• Analytical & Problem-Solving Skills:
  

○ Exceptional analytical and quantitative skills, with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy.
○ Strong problem-solving abilities, capable of tackling complex business challenges with a data-driven approach.

• Communication & Interpersonal Skills:
  

○ Excellent written and verbal communication skills, with the ability to articulate complex analytical concepts to non-technical stakeholders.
○ Strong interpersonal skills, with the ability to build relationships and influence cross-functional teams

• Education:
  

○ Bachelors degree in Business, Economics, Finance, Statistics, Computer Science, or a related quantitative field. Masters degree is a plus.
○ MBA from a top-tier school

Qualifications
Masters/bachelors degree in Computers, Marketing or a related field is typically required.
Proficiency in japanese language (good to have)