Lead Business Intelligence Analyst
Ampcus Inc · Overland Park, KS · Yesterday
HybridFull-time
Key Responsibilities
- Partner with cross-functional stakeholders to understand business objectives and provide data-driven recommendations.
- Support product discovery, ideation, experimentation, and prioritization through advanced analytics.
- Design, execute, and analyse A/B tests and experiments using statistical methodologies.
- Define analytics requirements and validate tracking/tagging implementations.
- Perform data validation and user acceptance testing (UAT) to ensure accurate analytics data collection.
- Monitor post-launch product performance and deliver recurring and ad hoc analyses.
- Develop actionable insights that influence product strategy and business decisions.
- Collaborate with reporting teams to automate KPI dashboards and recurring reports.
- Build and maintain data pipelines, dashboards, reports, and analytical data assets.
- Present findings through compelling data storytelling tailored to both technical and non-technical audiences.
- Provide technical guidance to analytics team members and share best practices.
- Learn and utilise new analytics technologies and work with vendors to resolve technical issues.
- Support strategic analytics initiatives and deliver against project milestones.
Required Skills
- Strong SQL expertise.
- Power BI dashboard development and reporting.
- Data storytelling and presentation skills.
- Stakeholder management and relationship building.
- Experience with Web Analytics tools.
- Experience building and maintaining data pipelines.
- Data visualisation and reporting.
- Statistical analysis and experimentation (A/B testing).
- Data validation and analytics implementation.
- Strong analytical and problem-solving skills.
Preferred Qualifications
- Experience in the Automotive industry.
- Product Management experience.
- UX or Digital Product Analytics experience.
- Experience with digital analytics platforms.
- Knowledge of experimentation best practices.
- Experience working with SQL databases and analytics ecosystems.