Ampcus inc

Lead Business Intelligence Analyst

Ampcus inc$100K — $120K *
Business Services
Less than 5 years of experience
Job Overview by Ladders

Qualifications

  • 5-7 years of experience in Business Intelligence or related field.
  • Strong expertise in SQL for data manipulation and analysis.
  • Proficiency in Power BI for dashboard creation and reporting.
  • Ability to communicate insights through data storytelling to diverse audiences.
  • Experience in stakeholder management and cross-functional collaboration.
  • Familiarity with Web Analytics tools and data validation practices.
  • Strong skills in statistical analysis, particularly in A/B testing.

Responsibilities

  • Collaborate with stakeholders to provide data-driven recommendations.
  • Support product discovery and prioritization with advanced analytics.
  • Design and analyze A/B tests using statistical methods.
  • Define analytics requirements and validate tracking systems.
  • Ensure data accuracy through validation and user testing.
  • Monitor product performance and conduct recurring analyses.
  • Develop insights that inform product strategy and business decisions.

Benefits

  • Hybrid work arrangement with 2 days onsite per week.
  • Opportunities for professional development and learning new analytics technologies.
  • Work in a collaborative and cross-functional team environment.
  • Support for strategic analytics initiatives and impactful projects.
  • Limited travel requirement of up to 5%.
Full Job Description
Job Title: Lead Business Intelligence Analyst

Location(s): Overland Park, KS
(Hybrid: 2 days onsite per week Tuesday-Thursday)

Job Summary:
We are seeking a Business Intelligence Manager to support product analytics initiatives for a product release train. This role partners with product managers, UX teams, and business stakeholders to transform data into actionable insights that improve product performance and drive business growth. The ideal candidate combines strong analytical expertise with excellent stakeholder management and storytelling skills, while proactively identifying opportunities for product optimization throughout the product lifecycle.

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.

Travel:
  • Up to 5% travel (same-day or overnight).

Key Technologies:
  • SQL
  • Power BI
  • Web Analytics Tools
  • Data Visualisation Platforms
  • SQL-based Databases

Visa Requirement:
  • H1B candidates are not eligible.

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