Business Intelligence Analyst

Flexton Inc.

Overland Park (KS)

On-site

USD 75,000 - 110,000

Full time

4 days ago
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Job summary

Cox Automotive is seeking a Sr. BI Analyst in Overland Park, KS to act as a technical advisor within an analytics team and translate findings into actionable business recommendations.

The role emphasizes storytelling with data, collaboration across product, UX, and management teams, and strong analytics execution across the product lifecycle. The ideal candidate will support ideation, experiment planning, data validation, and post-launch performance monitoring, delivering insights and

Responsibilities

  • Collaborate and support cross-functional teams to drive data-driven decisions and growth.
  • Support product ideation and discovery analyses to guide priorities and opportunities.
  • Provide analytics requirements, validate tagging specs, and perform data validation UAT.
  • Monitor post-launch health of Cox Automotive Dealer Solutions' products and advise stakeholders.
  • Collaborate with Reporting Team to automate recurring KPI reports and enable deeper insights.
  • Present analysis results as cohesive insights stories with clear takeaways for non-analytics audiences.
  • Work with vendors to resolve issues and support analytics initiatives.

Job description

BI Analyst::W2 @Overland Park, KS

The Sr. Business Intelligence Analyst also serves as a technical advisor within an analytics team. They should feel comfortable consulting with teammates on technical problems and helping teach new skills when necessary. Successful Business Sr. Analysts are also adept communicators, using storytelling to convey analytics findings and make a recommendation. A strong candidate will also have Automotive industry, product management and/or UX experience.

Partnership with other teams
  • Collaborate and support cross-functional teams within the organization to make data-driven business decisions aimed at growth / business optimization.
Support throughout product development lifecycle
  • Support product ideation and discovery research and analyses that estimate potential opportunities and guide priorities/focused areas. Work with stakeholders and Experimentation Team to formulate Experiment Plan with proper Success Metrics by applying Experimentation best practices, perform test analyses with statistical testing.
  • Provides proper analytics requirements, validate tagging specifications, and perform data validation UAT to ensure data capture will support downstream analyses needed to generate the types of insights useful for product and business decisions. Support the maintenance of analytics implementation and accuracy of digital analytics data capture.
  • post-launch performance monitoring of the health of the Cox Automotive Dealer Solutions' products and its businesses, proactively work with stakeholders to establish requirements for recurring and ad-hoc analytics support, including reporting, analyses, actionable insights, and recommendations to drive growth.
  • Collaborate with Reporting Team on automating recurring reports on key KPIs, leveraging them to guide custom analyses for deeper insights by applying advanced analytics methodologies to our online user behavioral and related business data.
Review results and findings
  • Present analysis results in a cohesive insights story with key takeaways, so that non-analytics stakeholders can walk away with a clear understanding of the “so-what’s”. Work with Manager to develop recommendations on business decisions/actions based on findings.
  • Review results with various levels of internal and external audiences in a concise and storytelling manner.
  • Must be able tolearn and use analytics and other relevant technologies (e.g. Web analytics tool, SQL-based databases, data visualization software, etc.). Must be able to work directly with vendors to resolve issues
  • Supports Analytics Leads or other leaders for company initiatives/projects to help drive execution according to project milestones and timelines.
  • Able to perform the duties above working closely with Manager or under the guidance of analytics or stakeholder leaders.
  • Works with Manager and direct line of leadership to define priorities, must be able to deliver against business goals working both independently and collaboratively with cross-functional teams.
  • Build and maintain data pipelines, data assets, dashboards and reports
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