Lead Business Analyst (Automotive)

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Requirements:

• 5+ years of experience in an analytical role with a strong focus on data analysis, SQL, and reporting.
• Advanced SQL skills and familiarity with data visualization and business intelligence tools.
• Ability to deeply analyze data, identify trends, and drive insights that improve business outcomes.
• Strong understanding of customer behavior, and key metrics impacting profitability and operational efficiency.
• Understands customer pain points and advocates for solutions that enhance the customer experience and business success.
• Creative problem solver with a passion for turning data into actionable insights that positively impact the business.
• Proven experience managing projects, setting priorities, and delivering high-quality results within deadlines.
• Excellent communication and presentation abilities, capable of conveying complex data insights to non-technical stakeholders at all organizational levels.

Responsibilities:

• Collaborate with business leaders to understand their goals and challenges, developing tailored data products to address their needs.
• Own and build a comprehensive Reporting Catalog, standardizing business reports for consistency across the organization.
• Develop, maintain, and optimize SQL queries to generate meaningful reports, analyzing business performance and identifying trends.
• Distill complex data insights into actionable recommendations and clearly present findings to business leaders, including supporting documentation.
• Design and deliver data-driven products that directly contribute to achieving revenue and margin targets for the business.
• Automate existing reports and file transmissions, reducing manual effort, errors, and improving overall efficiency.
• Work closely with data engineers to ensure that the developed data products are high-quality and meet the business requirements.
• Develop and maintain a suite of dashboards that help stakeholders easily track key performance indicators and make data-driven decisions.
• Identify opportunities for streamlining business processes (e.g., dispatch, billing, service delivery) to drive operational efficiency and improve response times.
• Identify customer journey pain points and propose data-driven improvements to enhance customer satisfaction and loyalty.