Data Analyst 3 - Insights Delivery - Digital

About the Role

Key Responsibilities

• Partner with key stakeholders to define success and develop measurement frameworks.
• Dive deep into complex business problems and provide insights on business vertical performance through hypothesis testing.
• Deliver a suite of analytical products including analyses, dashboards, insights, and recommendations.
• Present results to stakeholders up to executive level and guide them in utilizing analytics effectively.
• Own the definition and implementation of new metrics.
• Identify opportunities to use data to develop new strategies and improve overall performance.
• Deliver high-quality solutions and recommendations to various problems independently and collaboratively.
• Bring data to life through storytelling in a clear and meaningful way for audiences with mixed technical expertise.
• Reconcile divergent demands from multiple stakeholders in a fast-paced environment.
• Mentor junior team members on analytics, storytelling, and communication best practices.
• Use advanced analytical and statistical practices to create thorough and actionable insights.
• Collect data to analyze, execute, and measure customer analysis, marketing campaigns, merchandise, and digital experience analysis.
• Collaborate to apply learning across channels, campaigns, products, and business units.

Requirements

• Bachelor's degree or relevant work experience.
• 5+ years of professional experience analyzing data, drawing conclusions, and making recommendations.
• 5+ years of experience in extracting and manipulating large data sets from relational databases using SQL (BigQuery preferred).
• Strong coding skills in at least one statistical or programming language (R or Python preferred).
• Experience with statistical and machine learning algorithms such as regression, classification, and clustering.
• Strong proficiency with advanced graphics/visualization software (e.g., Tableau, Looker preferred).
• Clear and effective written/verbal communication and strong interpersonal skills.
• Ability to develop strong, synergistic relationships with multiple teams.
• Strong problem-solving skills, including the ability to complete ambiguous projects independently, prioritize tasks, find resources, and articulate decisions to leadership.

Nice to Have

• Experience with machine learning algorithms such as regression, classification, and clustering.
• Proficiency with visualization tools like Tableau or Looker.

Qualifications

• Educational background or work experience equivalent to a bachelor's degree.

Benefits & Perks

• Medical/Vision, Dental, Retirement and Paid Time Away
• Life Insurance and Disability
• Merchandise Discount and EAP Resources
• Potential performance-based incentives/bonuses
• Benefits including 401k, PTO, Holidays, and more