Data Analyst

Job Title: Data Analyst
Location: Scottsdale, AZ (Onsite)
Type: Permanent

Must-Haves:
Minimum of 4 years of experience in a data analytics role with strong problem-solving skills.
4 Years experience with data visualization tools (e.g. Quicksight, Tableau, Power BI)
Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
Advanced Excel skills, including macros, pivot tables, and complex formulas.
Understand the day-to-day issues that our business faces, which can be better understood with data
Compile and analyze data related to the business's issues
Develop clear visualizations to convey complicated data in a straightforward fashion

Role and Responsibilities:
Conduct deep-dive analyses on complex datasets, using advanced analytical techniques to derive insights.
Design, build, and deliver reports, dashboards and data visualizations that empower our customers to unlock the full potential of the platform.
Analyze customer data (qualitative and quantitative) to uncover trends, provide actionable insights, and identify opportunities for improvement.
Develop and maintain a repository of standardized and customized reporting templates for efficiency and consistency.
Communicate complex data insights effectively to stakeholders across the organization, including non-technical audiences.
Partner with various departments (e.g., marketing, sales, product, operations) to understand business needs and align data projects with organizational goals.
Perform ad-hoc and in-depth analyses and translate them into insights that can be interpreted and actioned by business executives and stakeholders.
Partner with internal technical teams to address data gaps, improve data quality, and enhance reporting capabilities.
Design, develop, optimize, and deploy traditional machine learning and deep learning algorithms, models, and applications.
Implement forecasting techniques to predict project timelines,
Develop and implement machine learning (ML) models to extract insights from data

Technical Experience Required:
Strong business acumen and the ability to translate complex data insights into actionable recommendations.
Experience engaging in independent data analysis that uncovers insights coupled with the ability to communicate those insights effectively to spark company change.
Strong proficiency in data visualization tools (e.g., Quicksight, Tableau, Power BI).
Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
Proficiency in Python and SQL.
Excel Mastery: Advanced Excel skills, including macros, pivot tables, and complex formulas.
Proven experience developing solutions utilizing Data Lakes and working in Cloud platforms.
Experience with Agile Methodology.
Experience in the home construction industry is preferred.

Must Haves:
Minimum of 4 years of experience in a data analytics role with strong problem-solving skills.
4 Years experience with data visualization tools (e.g. Quicksight, Tableau, Power BI)
Experience with Predictive Analytics: Knowledge of predictive modeling, machine learning, or forecasting methods.
3 years of experience working cross-functionally (e.g., with marketing, sales, product, and operations) to understand business needs and align data projects with organizational goals.
Advanced Excel skills, including macros, pivot tables, and complex formulas.

Nice to Have:
Experience in the Construction Industry or Manufacturing Industry in a DA role focused on resource optimization
Experience with data analysis in a multi-project environment involving large complex data sets.
Experience engaging in independent data analysis that uncovers insights coupled with the ability to communicate those insights effectively to spark company change.

For more details please feel free to reach out me at gibbs.b@iserveworld.com