Lead Business Intelligence Analyst

WNS Holdings; Bengaluru; On-site; INR 1,500,000 - 2,500,000; Full time

Job summary

WNS Holdings in Bengaluru, Karnataka, is seeking a seasoned Sales Analytics professional to design and maintain dashboards and analytical models that track key sales metrics across segments. You will provide insights and recommendations to leadership, support forecasting, and collaborate with data engineering to ensure data integrity.

The role requires proficiency in SQL and visualization tools (Tableau, Power BI, Looker) and experience with CRM systems like Salesforce.

Qualifications

• 5+ years of experience in Sales Operations, BI, or data analytics with emphasis on sales performance.
• Experience in Grocery/Retail/E-commerce/Q-commerce preferred.
• Ability to translate data into clear, actionable insights for senior leadership.

Responsibilities

• Design, develop, and maintain dashboards, reports, and analytical models to track sales metrics.
• Provide strategic recommendations to sales leadership based on data insights.
• Assist in forecasting, capacity planning, and target setting using historical data and models.
• Collaborate with data engineering to ensure data integrity and scalable data solutions.
• Perform ad-hoc analyses to answer business questions in a timely manner.

Skills

SQL

Tableau

Power BI

Looker

Python (Pandas)

NumPy

R

Salesforce

Education

Bachelor's degree (Business/Economics/Finance/Statistics/CS)

MBA

Tools

Salesforce

Looker

Tableau

Power BI

Job description

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:

Bachelor's degree in Business, Economics, Finance, Statistics, Computer Science, or a related quantitative field. Master's degree is a plus.

MBA from a top-tier school