This analyst will play a key role in supporting multiple initiatives across pricing, inventory, and reporting automation. The primary focus will be on reducing manual processes and implementing scalable solutions that improve operational efficiency. Responsibilities include scripting in Python, writing SQL queries, and developing Power BI dashboards to support data-driven decision-making. A major component of the role involves identifying and resolving SAP pricing discrepancies, automating incident detection, and transitioning seasonal Excel-based reports into Snowflake. The analyst will also explore opportunities to enhance reporting with AI capabilities. While this is not a development role, the analyst will be expected to research issues, automate workflows, and contribute to process improvement across the team. We're looking for a passionate self-starter who thrives in both independent and collaborative environments, and who is eager to learn, grow, and make a meaningful impact.
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Familiarity with SAP (pricing/inventory modules)
Experience with Snowflake
Exposure to retail or localization-focused analytics
Development experience
2-5 years' experience writing Python scripts to automate manual workflows and detect data discrepancies (comfortable with scripting and libraries like pandas)
Experience writing SQL queries for data joins, reconciliation, and performance optimization
Experience building dashboards and reports in Power BI, with a focus on usability and business impact
Strong communication and team integration skills
Self-starter; no micromanagement required
Willingness to learn AI tools
Comfortable working across multiple initiatives
Open to contract-to-hire and relocating to Nashville (2x/week onsite upon conversion)