Key Responsibilities:
1) Data Flow & System Optimization
a) Utilize and optimize existing systems such as Salesforce, data transfer systems, and distributor data sources
b) Improve current data flows without disrupting existing business operations
c) Identify manual, repetitive, or inefficient data processes and redesign them for automation and simplification
d) Manage data quality issues, including missing or inconsistent data, and structure them into usable formats
2) Insight Generation from Imperfect Data
a) Analyze incomplete or non-ideal datasets and extract meaningful insights
b) Use AI-assisted analysis to interpret inconsistent datasets and accelerate insight generation
c) Combine human judgment with AI-supported findings to enable faster, “good-enough” decision-making in dynamic markets
d) Support commercial decision-making by identifying performance gaps, growth opportunities, and priority actions
e) Balance analytical accuracy with business practicality to support timely decisions
3) AI & Advanced Analytics Enablement
a) Leverage AI and GenAI tools (e.g., AI copilots, automated insight generation, natural language queries) to accelerate analysis, reporting, and insight creation
b) Apply AI-assisted techniques to summarize large datasets, identify patterns, and surface key commercial insights
c) Explore opportunities to automate repetitive analytical tasks such as commentary writing, variance explanations, and data validation checks
d) Partner with IT and regional teams to test, pilot, and scale AI-enabled analytics solutions where relevant
e) Ensure AI outputs remain business-relevant, explainable, and aligned with company data governance and compliance standards