Demo

Data Analyst

International Staff Consulting
Scottsdale, AZ Full Time
POSTED ON 3/5/2025
AVAILABLE BEFORE 6/5/2025

About the Role :

This Data Analyst position plays a vital role in converting complex business, customer, and platform data into actionable insights . These insights will be crucial in enhancing operational efficiency and informing strategic decision-making for internal stakeholders and customers. The ideal candidate will have a strong analytical background , experience in predictive analytics and data visualization , and a passion for leveraging data to drive business outcomes .

Roles and Responsibilities :

  • Conduct deep-dive analyses on complex datasets using advanced analytical techniques.
  • Design, build, and deliver reports, dashboards, and data visualizations .
  • Analyze customer data to uncover trends, insights, and opportunities for improvement .
  • Develop and maintain a repository of standardized and customized reporting templates .
  • Communicate complex data insights effectively to non-technical stakeholders .
  • Collaborate cross-functionally with marketing, sales, product, and operations teams .
  • Partner with internal technical teams to enhance reporting capabilities .
  • Design, develop, and deploy machine learning algorithms and models .
  • Implement forecasting techniques to predict construction project timelines.

Job Requirements :

  • Minimum of 4 years of experience in a data analytics role.
  • Strong proficiency in data visualization tools (e.g., Quicksight, Tableau, Power BI ).
  • Experience with predictive analytics, machine learning, or forecasting methods .
  • 3 years of experience working cross-functionally across departments .
  • Advanced Excel skills (macros, pivot tables, complex formulas).
  • Proficiency in Python and SQL .
  • Experience developing solutions with Data Lakes and Cloud platforms .
  • Industry experience in home construction is preferred.
  • Candidate must be able to report in-person to a specific location.
  • Nice-to-Have Qualifications :

  • Experience in the construction or manufacturing industry.
  • Hands-on experience analyzing large, complex datasets in a multi-project environment .
  • Ability to conduct independent data analysis that drives organizational change.
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