Business Analyst - Retail, Consumer Goods and Hospitality
Drive business analysis efforts across retail data and analytics projects including current state assessments business use case development requirements gathering and solution design. Ensure alignment with retail operations merchandising supply chain and customer experience strategies.
Responsibilities
Data Quality & Governance
Champion data integrity across retail systems (e.g., POS, CRM, ERP). Identify and resolve data quality issues, ensuring consistency and reliability for reporting and analytics.
Technical Proficiency
Utilize SQL and other data tools to analyze large datasets, validate business requirements, and support the development of dashboards and reports. Collaborate with data engineering and architecture teams to ensure scalable solutions.
Retail Data Understanding
Act as a subject matter expert on retail data flows, including customer transactions, product hierarchies, and promotional data. Ensure business requirements are technically feasible and aligned with strategic goals.
Insight Accessibility
Design frameworks to measure the impact of analytics solutions on retail KPIs (e.g., conversion rates, basket size, footfall). Improve discoverability of data assets through documentation and metadata management.
Tools & Methodologies
Experience with BI tools (e.g., Power BI, Tableau), data modelling techniques, and agile delivery frameworks. Familiarity with cloud data platforms (e.g., Azure, GCP, Snowflake) and metadata management tools.
Responsibilities
- Lead and drive Business Analysis across workstreams to drive and support the execution of retail and consumer goods initiatives for our customers
- Improving processes across the business by identifying and implementing logistical practices
- Engage with business stakeholders and conducting workshops for requirement elicitation
- Map business processes and user journeys developing business domain models and associated documentation - Business process modelling Process flow modelling Data flow modelling Stakeholder analysis
- Creating the business requirements document including non-functional requirements
- Creation of Process Maps (L1 L2 L3 L4) and undertaking gap analysis.
- Documentation of BRDs FSDs NFRs and RTMs
- Support internal and external delivery teams with project planning functional and non-functional requirements testing reporting implementation and post-implementation activities
- Support and facilitate the test team and business teams during business process validation
- Support end users in adopting functional changes (e.g. training documentation implementation support)
- Contribute to research design and writing of articles/whitepapers and participate as a team member in collateral development.
- Retail-Focused Strategy Development: Support the creation of data strategies tailored to retail environments focusing on improving customer insights inventory optimization and sales performance.
Data Quality & Governance
Champion data integrity across retail systems (e.g., POS, CRM, ERP). Identify and resolve data quality issues, ensuring consistency and reliability for reporting and analytics.
Technical Proficiency
Utilize SQL and other data tools to analyze large datasets, validate business requirements, and support the development of dashboards and reports. Collaborate with data engineering and architecture teams to ensure scalable solutions.
Retail Data Understanding
Act as a subject matter expert on retail data flows, including customer transactions, product hierarchies, and promotional data. Ensure business requirements are technically feasible and aligned with strategic goals.
Insight Accessibility
Design frameworks to measure the impact of analytics solutions on retail KPIs (e.g., conversion rates, basket size, footfall). Improve discoverability of data assets through documentation and metadata management.
Tools & Methodologies
Experience with BI tools (e.g., Power BI, Tableau), data modelling techniques, and agile delivery frameworks. Familiarity with cloud data platforms (e.g., Azure, GCP, Snowflake) and metadata management tools.