Senior Data Analyst (2+ year exp required) Local Candidates only (Orlando Fl.)

This is a great opportunity for someone who enjoys digging into data, identifying patterns, improving processes, and helping a company scale smarter and faster. While this is primarily a data analytics role, the right person should also be comfortable using modern AI tools to improve workflows, automate repetitive tasks, and help the business operate more efficiently.

We are looking for someone who wants to put in the sweat equity, take ownership, and make a name for themselves as the company continues to grow.

About the Company

Our company was built by people who came up through the parts department - not consultants who learned the industry from textbooks. We understand the day-to-day challenges dealerships face because we have lived them: managing bin systems, working with DMS vendors, processing warranty returns, dealing with aging inventory, and finding solutions for obsolete parts.

We specialize in OE auto parts solutions for franchised auto dealerships, including obsolete inventory purchasing, parts department optimization, fill-rate improvement, inventory analysis, process improvement, and vendor strategy. We help dealerships turn aging inventory into cash quickly so they can reinvest in parts that actually move., The Senior Data Analyst will play a key role in helping the company use data more effectively across sales, catalog, inventory, pricing, advertising, and operations. You will work closely with leadership and the development team to identify opportunities for better reporting, cleaner data, improved workflows, and smarter decision-making.

This person will help build and maintain analytic tools, improve data visibility, and support automation initiatives that reduce manual work and allow the business to scale., * Analyze data across pricing, catalog, inventory, advertising, sales, and operations to identify trends, gaps, and business opportunities.

• Build dashboards, reports, and analytic tools that give leadership clear visibility into performance.
• Review existing workflows and manual processes to identify opportunities for improvement and automation.
• Develop tools and reporting that help the team make better, faster, data-informed decisions.
• Work with developers to support data pipelines, automation projects, and system integrations.
• Use AI tools where appropriate to improve efficiency, streamline workflows, and reduce repetitive manual tasks.
• Translate complex data into clear, practical recommendations for leadership and cross-functional teams.
• Help establish clean, reliable data processes that support continued growth.
• Document workflows, reporting logic, and process improvements so they can be maintained and scaled.

What Success Looks Like

• Leadership has better visibility into all areas of the business.
• Manual processes are identified, improved, and reduced where possible.
• Data is cleaner, faster, and more reliable.
• Reporting and analytics help drive better decisions across the organization.
• The company is able to scale with greater efficiency and fewer manual touchpoints.
• You become a trusted internal resource for data, insights, and process improvement.

“Ideal for someone with 3+ years of data analysis experience who is ready to take ownership, grow with the company, and have a direct impact on reporting, dashboards, process improvement, and automation.”, * 3+ years of experience in a data analyst, business analyst, or related analytics role.

• Strong ability to analyze data, identify trends, and turn findings into actionable recommendations.
• Experience building reports, dashboards, or analytic tools for business users.
• Solid understanding of data structures, data workflows, and process improvement concepts.
• Comfortable using AI tools such as ChatGPT, Claude, Gemini, or similar platforms in a business setting.
• Ability to communicate technical concepts clearly to both developers and non-technical leadership.
• Strong problem-solving skills and a practical, hands-on approach.
• Self-starter mindset with the desire to build, improve, and grow with the organization.

Preferred Qualifications

• Familiarity with API integrations or connecting data between platforms.
• Experience with automation tools, scripts, or AI-assisted workflows.
• Experience supporting a digital transformation, process improvement, or operational efficiency initiative.
• Knowledge of e-commerce, automotive parts, dealerships, inventory, or catalog data is a plus, but not required.

Pulled from the full job description

• Prescription drug insurance
• 401(k)
• Health insurance
• Retirement plan
• Paid time off
• Vision insurance
• Health savings account, * Competitive base salary, commensurate with experience
• Health benefits
• Paid time off and holidays
• Access to leading AI tools, software, and professional development resources
• Opportunity to grow with a company that is expanding and investing in better systems, better data, and better people

This is an exciting opportunity for a motivated Senior Data Analyst who wants more than just a traditional reporting role. If you are looking for a place where you can contribute, improve systems, bring ideas to the table, and grow as the company grows, we would welcome a conversation.

Pay: $65,000.00 - $70,000.00 per year, * 401(k)

• Dental insurance
• Disability insurance
• Family leave
• Green card sponsorship
• Health insurance
• Health savings account
• Life insurance
• Paid holidays
• Paid sick time
• Paid time off
• Prescription drug insurance
• Retirement plan
• Visa sponsorship
• Vision insurance