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Insights Specialist

Job in Phoenix, Maricopa County, Arizona, 85003, USA
Listing for: Richmond American Homes
Full Time position
Listed on 2026-01-10
Job specializations:
  • IT/Tech
    Data Analyst, Business Systems/ Tech Analyst
Salary/Wage Range or Industry Benchmark: 60000 - 80000 USD Yearly USD 60000.00 80000.00 YEAR
Job Description & How to Apply Below

Senior Analyst, Analytics and Data Science – Stars Program – Remote AZ

BREAK GROUND ON A REWARDINGER WITH US! The Sekisui House U.S. team is a proud builder of the SHAWOOD, Richmond American Homes, Woodside Homes, Holt Homes, Hubble Homes, and Chesmar Homes brands. We take great pride in being a member of Sekisui House, a global leader in homebuilding. Over 60 years, we have built more than 2.6 million new homes, adapting to the changing needs of today’s home buyers.

We are committed to a future where people around the world can live joyful lives in homes that are safe, secure, stylish, and comfortable.

Positive Work Environment & Culture
  • Collaborative Team Culture:
    Join a supportive environment where teamwork and the open exchange of ideas are highly valued.
  • Team Engagement:
    Participate in various team‑building events and social gatherings, such as company outings, holiday celebrations, and regular office socials. We support a healthy work‑life balance and recognize the importance of time outside of work.
Job Overview

The ideal candidate is collaborative, inquisitive, empathetic, and skilled at turning data into compelling stories that influence action. This person will work closely with internal teams and brand leaders to uncover insights, improve processes, and drive the adoption of CX initiatives. Travel up to 30% may be required.

Key Responsibilities
  • Customer Insight & Analytics
    • Analyze Voice‑of‑Customer data, surveys, operational metrics, and sentiment to uncover themes, trends, and root causes.
    • Translate insights into clear, actionable narratives that guide business decisions.
    • Deliver recommendations to leaders while maintaining high standards of data integrity.
    • Support the development of journey maps, dashboards, and data visualizations.
  • Program & Initiative Management
    • Support and help execute customer research projects and CX programs across brands.
    • Evaluate and measure the effectiveness of programs, training, SOPs, and improvements.
    • Contribute to quarterly CX Reviews, including insights, messaging, and progress tracking.
    • Help develop and maintain CX playbooks, SOPs, training materials, and process frameworks.
  • Operational & Technical Support
    • Partner with IT and data teams to ensure dashboards, systems, and tools support CX priorities.
    • Support improvements to customer‑facing and internal workflows.
    • Leverage platforms such as Dynamics, PowerPoint, Build Pro, Voice‑of‑Customer Management software, and AI analytics tools.
    • Perform data mining, segmentation, and ad‑hoc analytics as needed.
Qualifications
  • 2+ years of experience in CX, analytics, research, operations, or program management.
  • 2+ years of experience in a customer‑facing service role.
  • Strong analytical skills and ability to extract insights from complex data.
  • Experience with Customer Experience Management platforms.
  • Understanding of CX fundamentals: NPS, survey logic, segmentation, journey mapping, text analytics.
  • Excellent communication and presentation skills.
  • Ability to influence without authority across cross‑functional teams.
  • Highly organized with strong attention to detail.
  • Ability to work autonomously and manage multiple projects.
  • Familiarity with data visualization and analytics tools.
Preferred Qualifications
  • Bachelor’s degree in Business, Marketing, Analytics, or a related field.
  • Experience in homebuilding, construction, or field‑based environments.
  • Familiarity with AI and data mining techniques.
  • Experience supporting customer research projects.
Compensation
  • Base Salary: $60,000 – $80,000
  • FLSA Status:
    Exempt
  • Bonus Type:
    Year‑End Discretionary
Seniority Level
  • Not Applicable
Employment Type
  • Full‑time
Job Function
  • Other
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