We use an AI-powered matching process to ensure your application is reviewed quickly, objectively, and fairly against the role's core requirements. Our system identifies the top-fitting candidates, and this shortlist is then shared directly with the hiring company. The final decision and next steps (interviews, assessments) are managed by their internal team. We appreciate your interest and wish you the best! Data Privacy Notice: By submitting your application, you acknowledge that Jobgether will process your personal data to evaluate your candidacy and share relevant information with the hiring employer. This processing is based on legitimate interest and pre-contractual measures under applicable data protection laws (including GDPR). You may exercise your rights (access, rectification, erasure, objection) at any time. #LI-CL1 We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.
Business Intelligence Lead
Location
United States
Posted
9 days ago
Salary
Not specified
Job Description
Role Description
This position is pivotal in executing analytical strategies that enhance the vehicle merchandising and marketing experience.
- Work with cross-functional teams such as Sales, Marketing, Product, Engineering, and Operations to provide actionable insights on consumer behavior, advertising channel mix, and digital transactions/sales through data analytics.
- Partner with business leaders to identify and define key reporting and analysis metrics to inform the business's KPI framework.
- Create standard and evolving reporting, analysis, and forecasting capabilities to support client optimization strategies.
- Mine data from a variety of sources to surface strategies that improve ROI and program performance.
- Develop and implement data validation frameworks to ensure analytical accuracy.
- Apply statistical techniques to validate findings and ensure data integrity.
- Leverage BI tools with AI capabilities to assist in generating reports and dashboards.
- Present findings directly to stakeholders through cohesive narratives and visual storytelling.
- Collaborate with different departments to improve the analytics suite.
- Champion a healthy team culture and mentor team members.
Qualifications
- Bachelor's degree or equivalent experience.
- 8+ years of web, marketing, and/or commerce analytics experience.
- Experience working and leading groups within an agile environment.
- Proficiency with web analytics tools such as Google Analytics and Adobe Analytics.
- Expert-level proficiency in SQL with the ability to write complex queries.
- Experience with diverse data architectures including relational databases and data lakes.
- Familiarity with statistical programming languages like R or Python for data validation.
- Ability to assess data integrity and identify discrepancies.
- Experience with statistical validation techniques.
- Proficiency with data visualization tools like Tableau, MicroStrategy, or Power BI.
- Strong Microsoft Office skills, including Excel proficiency.
- Ability to synthesize complex information and drive results.
- Exceptional communication and interpersonal skills.
- Ability to manage ambiguity and adapt to changing priorities.
- Ability to multitask and manage multiple projects.
Benefits
- Flexible vacation policy allowing for as much paid time off as needed.
- Seven paid holidays per year.
- Up to 160 hours of paid wellness time annually.
- Additional paid time off for bereavement, jury duty, military leave, and parental leave.
- Comprehensive health care insurance options, including medical, dental, and vision.
- 401(k) retirement planning.
- Innovative work environment focused on technology and employee well-being.
- Equal Employment Opportunity employer with reasonable accommodations.
Job Requirements
- Bachelor's degree or equivalent experience.
- 8+ years of web, marketing, and/or commerce analytics experience.
- Experience working and leading groups within an agile environment.
- Proficiency with web analytics tools such as Google Analytics and Adobe Analytics.
- Expert-level proficiency in SQL with the ability to write complex queries.
- Experience with diverse data architectures including relational databases and data lakes.
- Familiarity with statistical programming languages like R or Python for data validation.
- Ability to assess data integrity and identify discrepancies.
- Experience with statistical validation techniques.
- Proficiency with data visualization tools like Tableau, MicroStrategy, or Power BI.
- Strong Microsoft Office skills, including Excel proficiency.
- Ability to synthesize complex information and drive results.
- Exceptional communication and interpersonal skills.
- Ability to manage ambiguity and adapt to changing priorities.
- Ability to multitask and manage multiple projects.
Benefits
- Flexible vacation policy allowing for as much paid time off as needed.
- Seven paid holidays per year.
- Up to 160 hours of paid wellness time annually.
- Additional paid time off for bereavement, jury duty, military leave, and parental leave.
- Comprehensive health care insurance options, including medical, dental, and vision.
- 401(k) retirement planning.
- Innovative work environment focused on technology and employee well-being.
- Equal Employment Opportunity employer with reasonable accommodations.
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