Jobs · Kansas

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.

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