About the role

The analyst will leverage the NielsenIQ Discover Platform to extract market intelligence and develop comprehensive sales and commercial analytics. They will build interactive Power BI dashboards and collaborate with cross-functional teams to provide data-driven recommendations that improve business performance.

What they look for

Business Analytics Data Operations NielsenIQ Discover Platform Sales Analytics Commercial Analytics Power BI DAX Data Modeling Market Intelligence Performance Management Reporting Data Visualization Stakeholder Management Trend Analysis Operational Efficiency

Requirements

Candidates must have 4–6 years of experience in business or data analytics with strong proficiency in Power BI and DAX. Expertise in the NielsenIQ Discover Platform and a background in commercial or sales operations are essential for this role.

Full description

This role is for one of Weekday’s clients

Min Experience: 4+ years Location: India JobType: full-time

We are seeking a highly analytical and detail-oriented Senior Business & Data Operations Analyst with 4–6 years of experience in business analytics, commercial operations, data management, and reporting. The ideal candidate will have strong hands-on expertise with the NielsenIQ Discover Platform, Sales & Commercial Analytics, and Power BI/DAX.

In this role, you will transform complex business and market data into actionable insights that support sales strategy, commercial decision-making, performance management, and operational efficiency. You will work closely with sales, commercial, category, finance, and leadership teams to identify trends, uncover opportunities, and improve business performance through data-driven recommendations.

Key Responsibilities• Leverage the NielsenIQ Discover Platform to extract, analyze, and interpret market, category, brand, product, and competitive intelligence.

Develop comprehensive sales and commercial analytics to evaluate revenue, sales performance, market share, distribution, pricing, promotions, and category trends.
Build and maintain interactive Power BI dashboards and reports for business stakeholders and leadership teams.
Write and optimize complex DAX measures, calculated columns, and analytical expressions to support advanced business reporting.
Translate business requirements into scalable reporting solutions, analytical models, and actionable insights.
Analyze sales performance across products, categories, regions, channels, customers, and time periods to identify growth opportunities and performance gaps.
Partner with commercial and sales teams to understand business challenges and provide data-backed recommendations.
Conduct variance, trend, performance, and root-cause analysis to explain changes in key business metrics.
Ensure data accuracy, consistency, completeness, and integrity across reporting and analytics processes.
Develop standardized KPIs, metrics, dashboards, and reporting frameworks to improve business visibility.
Automate recurring reports and operational analytics wherever possible to improve efficiency and reduce manual effort.
Collaborate with cross-functional teams to improve data processes, reporting workflows, and analytical capabilities.
Present complex analytical findings clearly to both technical and non-technical stakeholders.

Must-Have Skills• 4–6 years of experience in business analytics, data analytics, commercial analytics, sales operations, or a related field.

Strong hands-on experience with the NielsenIQ Discover Platform and market intelligence data.
Proven expertise in Sales & Commercial Analytics, including sales performance, market trends, category analysis, pricing, distribution, and competitive analysis.
Advanced proficiency in Power BI, including dashboard development, data modeling, visualization, and reporting.
Strong command of DAX for developing complex measures and business calculations.
Strong analytical and problem-solving capabilities with excellent attention to detail.
Ability to translate business questions into analytical frameworks and actionable insights.
Strong stakeholder management and communication skills.

Good-to-Have Skills• Experience working with FMCG, retail, consumer goods, or market research data.

Knowledge of SQL and relational databases.
Experience with Power Query, Excel, or other data transformation tools.
Understanding of ETL/data preparation processes and data quality management.
Familiarity with commercial KPIs, revenue management, category management, and business performance frameworks.
Experience automating recurring reporting and operational processes.