Business Analyst

Role of Purpose:

- Identify manual, repetitive, or inefficient data processes and redesign them for automation and simplification

- Manage data quality issues, including missing or inconsistent data, and structure them into usable formats

- Insight Generation from Imperfect Data

- Analyze incomplete or non-ideal datasets and extract meaningful insights

- Use AI-assisted analysis to interpret inconsistent datasets and accelerate insight generation

- Combine human judgment with AI-supported findings to enable faster, "good-enough" decision-making in dynamic markets

- Support commercial decision-making by identifying performance gaps, growth opportunities, and priority actions

- Balance analytical accuracy with business practicality to support timely decisions

AI & Advanced Analytics Enablement:

- Leverage AI and GenAI tools (e.g., AI copilots, automated insight generation, natural language queries) to accelerate analysis, reporting, and insight creation

- Apply AI-assisted techniques to summarize large datasets, identify patterns, and surface key commercial insights

- Explore opportunities to automate repetitive analytical tasks such as commentary writing, variance explanations, and data validation checks

- Partner with IT and regional teams to test, pilot, and scale AI-enabled analytics solutions where relevant

- Ensure AI outputs remain business-relevant, explainable, and aligned with company data governance and compliance standards

Data-Driven Productivity Improvement:

- Use data not only for analysis but also to reduce operational workload

- Automate recurring reports, KPI tracking, and performance monitoring

- Eliminate double work and manual data handling through better data utilization

- Continuously improve efficiency of Sales and Trade Marketing operations through data solutions

Stakeholder Collaboration:

- Work closely with Sales, Trade Marketing, Marketing, Finance, and IT teams

- Coordinate with external vendors or tool providers when required

- Communicate insights and recommendations clearly to non-technical stakeholders