Data Analyst Jobs

Req#: 22811318

Role: Retail - Data Analyst III

Location: Cupertino, CA – Remote PST

Duration: 12 Months

Summary:

The Retail Engagement and Marketing team is looking for an exceptional individual to join our team. You’ll responsible for analyzing, and reporting on data related to Retail learning and development programs. The ideal candidate is someone who has a passion for designing and executing surveys and assessments, collecting, and analyzing data from learning management systems, and creating reports that summarize findings and make recommendations for improvement.

As the Analytics and Assessments Analyst for Retail learning and development programs, you are responsible for bringing the best of the industry, to drive strategies, build capabilities, and create the conditions that build knowledge, elevate skills, drive motivation, and monitor and evaluate impact.

Key Qualifications:

• Comfort working in and through ambiguity; cross-functional experience is a must.
• Experience creating compelling data visualizations and building presentations using Keynote.
• Advanced Excel skills and comfort working with Python, R, SQL, and related tools.
• Use statistics, along with the concepts of reliability and validity, to analyze the performance of items and tests.
• Strong analytical skills and a deep understanding of statistical and forecasting principles.
• 7+ years of experience working in global analytics teams.
• Strong prioritization skills and ability to find creative solutions.
• Excellent communication skills, both written and oral - you can convey complex ideas simply.
• Create assessments that are valid and fair for a variety of delivery types including app, web, on the job, virtual classroom, and classroom.
• Critical and curious thinker with the ability to focus on both the details and big picture.
• Ability to work and speak to both creative and technical teams.
• Meticulous attention to detail, an ability to collaborate effectively between business and data groups.

Education:

BS/BA degree required; MS degree a plus - Analytical field such as Economics, Statistics, Mathematics.

Analytics (Customer Engagement and Communication, as well as learning and development)

1. Presentation Experience

2. Python, R, SQL, Excel, or related tools

3. Data Visualizations (Tableau)

4. Assessment Experience (Learning Engagement = web, e-learning,)

5. Analytic Experience (Forecasting)