What are the responsibilities and job description for the Data Analyst position at Varwyne Talent Collective?
Our client is seeking a Data Analyst for their Scottsdale, Arizona location. This is a hybrid role. The ideal candidate will possess strong technical expertise, business acumen, and experience with advanced analytics, data modeling, and predictive analytics. Must be a US Citizen or Green Card holder.
Key Responsibilities:
- Analyze large datasets using advanced statistical and analytical techniques to extract meaningful insights.
- Design, build, and maintain interactive dashboards, reports, and data visualizations to empower users of our clients platform.
- Identify trends in customer data (both qualitative and quantitative) to uncover opportunities for growth and process improvement.
- Develop and maintain a standardized reporting framework for consistency and efficiency.
- Translate complex data findings into clear, actionable recommendations for stakeholders, including non-technical audiences.
- Collaborate with cross-functional teams (Marketing, Sales, Product, Operations) to align data initiatives with business objectives.
- Perform ad-hoc analyses to support business decisions and drive innovation.
- Work closely with technical teams to improve data quality and enhance reporting capabilities.
- Develop and deploy machine learning models for predictive insights, including forecasting construction project timelines.
Qualifications & Requirements:
- 4 years of experience in data analytics, with strong problem-solving skills.
- Bachelors degree in Computer Science, Information Systems, Mathematics, Statistics, Engineering, or a related analytical field (or equivalent experience).
- Strong expertise in statistical analysis, data manipulation, and pattern recognition.
- Ability to identify key business questions and translate data into strategic insights.
- Proficiency in data visualization tools (e.g., QuickSight, Tableau, Power BI).
- Advanced SQL and Python skills for data extraction, manipulation, and analysis.
- Experience with predictive modeling, machine learning, or forecasting techniques.
- Excel expertise (macros, pivot tables, complex formulas).
- Experience working with Cloud Data Lakes and cloud platforms.
- Familiarity with Agile methodology and working in fast-paced environments.
Preferred:
- Experience in the home construction industry is a plus.
