Financial Process & Data Automation Analyst

Financial Process & Data Automation Analyst

We are seeking a highly analytical and technically skilled analyst to own and evolve our Promotions Document financial process, a critical input into pricing, demand generation, and merchandising decisions across the business. This role serves as the central point of integration across multiple teams, ensuring accurate, timely, and automated ingestion of promotional inputs into enterprise reporting platforms.

The ideal candidate will combine strong process ownership with data engineering and automation capabilities, leveraging SQL, Python, and related tools to drive efficiency, accuracy, and scalability.

• Own the end-to-end Promotions Document financial process, including intake, validation, consolidation, and submission of inputs from cross-functional partners.
• Partner closely with Pricing, Demand Generation, Content, and Merchandising teams to ensure alignment, timing, and data accuracy.
• Act as the single source of truth for promotional inputs used in business decision-making.

• Ingest processed data into database systems, ensuring data quality, consistency, and documentation.
• Enable downstream reporting and visualization in visualization tool to support leadership review, decisioning, and cross-team alignment.
• Maintain and enhance data pipelines supporting promotional and pricing analytics.

• Identify opportunities to automate manual processes and reduce cycle time using SQL, Python, Excel VBA, and similar tools.
• Design and implement scalable solutions that improve reliability, traceability, and auditability of financial inputs.
• Continuously improve workflows to support evolving business needs and promotional strategies.

• Serve as a trusted partner to stakeholders across Finance, Sales, Marketing, and Operations.
• Translate business requirements into technical solutions and clearly communicate outputs and insights.
• Support ad-hoc analysis and reporting requests tied to promotions and pricing initiatives.

Education & Experience Recommended

• Bachelor's degree in Finance, Economics, Business, Data Analytics, Computer Science, or a related field.
• Strong experience with SQL and Python in a business or financial analytics context.
• Advanced skills in Excel, including automation via VBA or comparable scripting tools.
• Strong attention to detail and data quality.
• Conversational English Fluency

Cross-Org Skills
• Effective Communication
• Results Orientation
• Learning Agility
• Digital Fluency
• Customer Centricity Impact & Scope
• This role is critical to ensuring that promotional and pricing decisions are data-driven, timely, and aligned across teams. The analyst will directly influence business outcomes by enabling accurate financial inputs, transparent reporting, and scalable automation.

Complexity
• Responds to moderately complex issues within established guidelines.

Disclaimer
• This job description describes the general nature and level of work performed in this role. It is not intended to be an exhaustive list of all duties, skills, responsibilities, knowledge, etc. These may be subject to change and additional functions may be assigned as needed by management.