Data Analyst (100% Remote)

Role Overview

The Data Analyst collaborates with key organizational leaders to deliver cohesive, rigorous, and insightful reporting tools and in-depth analyses that facilitate data-driven decision making.

What You Will Do

Works collaboratively with internal teams to solve cross-functional business challenges and provide key insights that drive improvement for both the business and its customers.

Why It Might Be a Fit

A bachelor’s degree in business, economics, statistics, analytics or a related field is required. Equivalent combinations of education and relevant experience may be considered.

Requirements

• A bachelor’s degree in business, economics, statistics, analytics or a related field
• A minimum of five (5) years in a role with demonstrated analytical background and expertise
• Proficiency in data analysis tools and languages such as SQL, DAX, Python, and/or R with advanced skill in Excel
• Strong data visualization skills using Power BI and/or Tableau as well as for storytelling in presentations of results to organizational leadership
• Excellent analytical and statistical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Solid understanding of statistical concepts and data analysis techniques, including evaluation of ROI and attribution, hypothesis testing, confidence intervals, and forecasting methodology
• Demonstrated proficiency with a broad range of technologies and tools related to data visualization, operational platforms, Microsoft Fabric and/or Azure data environments, Git repositories, Salesforce data, GA4, and the analysis of large, complex datasets
• Experience analyzing and reporting data to identify issues, trends, or opportunities in a meaningful way to a variety of audiences
• Experience collaborating with business unit leaders for requirements gathering and refinement of key business needs and questions
• Excellent verbal and written communication, presentation, and problem-solving skills
• Self-starter with strong organizational and time management skills, self-directed and able to handle multiple priorities with demanding timeframes
• Ability to guide and support others through collaboration, including assisting teammates and contributing to shared processes, to foster a high-quality, team-oriented environment that drives results
• Demonstrated ability as a self-starter, able to work independently, make sound decisions, and use discretion
• Willingness and ability to work flexible hours as needed
• Proficiency in Microsoft Office Suite and modern communication tools for virtual teams (e.g., Microsoft Teams, Slack)

Benefits

• Dental insurance
• Vision insurance
• Health insurance
• 401(k) or other retirement plan
• Paid time off
• Flexible work hours
• Professional development opportunities
• Comprehensive benefits program

Tagged as: Data Analysis