Key Responsibilities

Specifically, the Senior Data Analyst at Peach can expect to own the following elements:

Data Flow and Structure

• Map, document, and optimize how data moves across systems (CRM, AppSheet apps, Workpay, Pandadoc, 3CX, and teams (Sales, Marketing, Customer Success, Inspection, Fleet). 
• Implement data cataloging, lineage and version control to ensure trust and repeatability. 
• Identify and eliminate duplicate data entry across tools (CRM, spreadsheets, internal systems). 
• Partner with Product and IT to align on data architecture, integrations, and governance frameworks. 
• Design and maintain automated data pipelines and dashboards that centralize critical business metrics.

Reporting and Business Insights

• Build, maintain, and enhance self service dashboards for company-wide KPIs (e.g., sales funnel, conversion, inventory movement, buyer engagement) to help in reducing manual reporting. 
• Provide actionable insights and recommendations to support business strategy and performance improvement. 
• Collaborate with team leads to define success metrics and create analytical models to track performance. 
• Translate complex data findings into clear, visual stories for non-technical stakeholders and leadership.

Data Quality and Governance

• Develop and enforce company-wide data standards for naming, storage, and documentation.
• Lead data validation, cleaning, and integrity checks to ensure accuracy across systems.
• Train and support business teams on data best practices and tool usage.
• Serve as the internal advocate for data-driven decision-making and continuous improvement.

Skills, Knowledge and Expertise

• Bachelor’s degree in Data Science, Statistics, Computer Science, Economics, or a related field (Master’s preferred).
• 4+ years of experience in data analysis, business intelligence, or analytics strategy -ideally within a cross-functional business or tech-driven environment.
• Proficiency in SQL, Excel, and Power BI (experience with Python or other analytics tools is a plus)
• Strong ability to translate data into insights that drive business results.
• Excellent written and verbal communication skills; able to explain technical concepts clearly to non-technical audiences.
• Proven experience working with cross-functional teams to align on shared data goals.
• Highly organized, detail-oriented, and proactive in improving systems and processes.
• Experience in setting up or maintaining a data warehouse or central reporting and/or background in automotive, marketplace, or operations-driven environments will be an added advantage.