Oct 26, 2026
Business Analysis
Remote
8 - 12 Years
Job Description
We are looking for an experienced Business Analyst to support Commercial Analytics, data analytics, and Business Intelligence (BI) initiatives. The ideal candidate will work closely with Commercial, Sales, Marketing, Data Engineering, Product, and BI teams to gather business requirements, define KPIs, validate data, and ensure successful delivery of reporting and data management solutions.
Key Responsibilities
Gather, analyze, and document business requirements from Commercial, Sales, and Marketing stakeholders.
Create user stories, acceptance criteria, functional specifications, and business requirement documents.
Support commercial data initiatives involving market sell-out data, NielsenIQ, Circana, and retailer Point of Sale (POS) data.
Define KPIs, business rules, data mappings, and reporting requirements.
Use SQL for data validation, profiling, reconciliation, and analysis.
Support Product Master Data Management (MDM) initiatives, including product hierarchy and data requirements.
Collaborate with Data Engineering, Product, and BI teams to translate business requirements into technical solutions.
Support dashboard development and validation using Power BI, Tableau, or similar reporting tools.
Participate in Agile ceremonies, backlog refinement, sprint planning, and stakeholder review meetings.
Coordinate User Acceptance Testing (UAT), defect tracking, issue resolution, and business sign-off.
Ensure data accuracy, reporting quality, and alignment between business requirements and technical deliverables.
Communicate findings, document decisions, and maintain effective stakeholder relationships.
Mandatory Skills and Experience
8–12 years of experience as a Business Analyst in data, analytics, or BI projects.
Experience in the CPG/FMCG or Consumer Health domain.
Exposure to commercial or market data, including sell-out data, NielsenIQ, Circana, or retailer POS data.
Strong expertise in requirements gathering, user stories, acceptance criteria, and functional documentation.
Working knowledge of SQL for data validation, profiling, and reconciliation.
Experience with Product Master Data Management (MDM).
Exposure to Power BI, Tableau, or similar reporting and visualization tools.
Experience working with Sales, Commercial, and Marketing stakeholders.
Strong analytical, communication, documentation, and stakeholder management skills.
Experience with UAT, defect tracking, and business sign-off.
Good-to-Have Skills
Experience with Product 360, Customer 360, or Consumer 360 initiatives.
Exposure to pricing and promotions analytics.
Understanding of product hierarchies, commercial data models, and data governance.
Experience working in Agile/Scrum environments.
Key Responsibilities
Gather, analyze, and document business requirements from Commercial, Sales, and Marketing stakeholders.
Create user stories, acceptance criteria, functional specifications, and business requirement documents.
Support commercial data initiatives involving market sell-out data, NielsenIQ, Circana, and retailer Point of Sale (POS) data.
Define KPIs, business rules, data mappings, and reporting requirements.
Use SQL for data validation, profiling, reconciliation, and analysis.
Support Product Master Data Management (MDM) initiatives, including product hierarchy and data requirements.
Collaborate with Data Engineering, Product, and BI teams to translate business requirements into technical solutions.
Support dashboard development and validation using Power BI, Tableau, or similar reporting tools.
Participate in Agile ceremonies, backlog refinement, sprint planning, and stakeholder review meetings.
Coordinate User Acceptance Testing (UAT), defect tracking, issue resolution, and business sign-off.
Ensure data accuracy, reporting quality, and alignment between business requirements and technical deliverables.
Communicate findings, document decisions, and maintain effective stakeholder relationships.
Mandatory Skills and Experience
8–12 years of experience as a Business Analyst in data, analytics, or BI projects.
Experience in the CPG/FMCG or Consumer Health domain.
Exposure to commercial or market data, including sell-out data, NielsenIQ, Circana, or retailer POS data.
Strong expertise in requirements gathering, user stories, acceptance criteria, and functional documentation.
Working knowledge of SQL for data validation, profiling, and reconciliation.
Experience with Product Master Data Management (MDM).
Exposure to Power BI, Tableau, or similar reporting and visualization tools.
Experience working with Sales, Commercial, and Marketing stakeholders.
Strong analytical, communication, documentation, and stakeholder management skills.
Experience with UAT, defect tracking, and business sign-off.
Good-to-Have Skills
Experience with Product 360, Customer 360, or Consumer 360 initiatives.
Exposure to pricing and promotions analytics.
Understanding of product hierarchies, commercial data models, and data governance.
Experience working in Agile/Scrum environments.
Job Overview
Location
Remote
Job Type
Contract
Key Skills
Business Analysis, Requirements Gathering, User Stories, Acceptance Criteria, Functional Specifications, Commercial Analytics, Data Analytics, CPG/FMCG, Consumer Health, NielsenIQ, Circana, Retailer POS Data, SQL, Data Validation, Data Reconciliation, Product MDM, Product Hierarchy, Power BI, Tableau, KPI Definition, Data Mapping, UAT, Agile/Scrum, Stakeholder Management, Pricing Analytics, Promotions Analytics.