Lead Business Intelligence Analyst

Job Title:

Lead Business Intelligence Analyst

Location:

Overland Park, KS (2 days/week hybrid)
Contract 6+ months

Overview:

• We are seeking a highly skilled and proactive Business Intelligence (BI) Manager to lead the product analytics efforts within our release train. This role involves collaborating with stakeholders, understanding product needs, and leveraging analytics tools and techniques to provide actionable insights. The ideal candidate will be an independent, innovative thinker with experience in automotive, product management, and/or UX, capable of driving strategic decision-making through data.

• SQL
• Power BI
• Data Storytelling
• Stakeholder management and Relationship Building
• Web Analytics tools

• Engage with internal stakeholders to understand their products and analytics needs.
• Design and deliver comprehensive analyses that support product and business decisions.
• Proactively identify opportunities for insights beyond stakeholder requests, fostering continuous product improvement and innovation.

• Serve as a technical advisor within the analytics team, providing guidance on complex problems.
• Mentor team members and support skill development initiatives.
• Ensure data validation, tagging specifications, and analytics implementation are accurate and support downstream analysis.

• Support across the entire product development lifecycle, including ideation, discovery, and launch.
• Collaborate with stakeholders and experimentation teams to formulate test plans, define success metrics, and analyze results using statistical testing.
• Monitor post-launch product performance, providing recurring and ad-hoc analytics, reports, and actionable insights to foster growth.

• Partner with the reporting team to automate key KPI dashboards and recurring reports.
• Use advanced analytics methodologies to deepen insights from behavioral and business data.

• Communicate findings through compelling storytelling, ensuring clarity for non-analytics audiences.
• Develop and present actionable recommendations to inform business decisions and product strategies.

• Learn and utilize analytics tools (web analytics, SQL databases, visualization software).
• Support the maintenance and enhancement of data pipelines, dashboards, and reports.
• Work directly with vendors to troubleshoot and resolve technical issues.