Lead Insights and Analytics Manager R-56877

Nike; Beaverton (OR); Remote; USD 80,000 - 120,000; Full time

Job summary

An established industry player is seeking a Lead Insights and Analytics Manager to drive impactful analytics capabilities. This role involves translating complex data into actionable insights, optimizing retail strategies, and enhancing consumer engagement through innovative solutions. The ideal candidate will possess a strong analytical background, with expertise in SQL, Python, and various data visualization tools. Join a dynamic team dedicated to delivering world-class retail experiences and making a significant impact on consumer relationships. If you're passionate about analytics and eager to contribute to a leading brand's success, this opportunity is perfect for you.

Qualifications

• Master’s degree in relevant fields with 2 years of analytics experience.
• Strong analytical skills and proficiency in SQL and Python programming.

Responsibilities

• Translate complex analytics into concise stories for business stakeholders.
• Partner with leadership to deliver insights and recommendations.

Skills

SQL

Python programming

R Statistical language

Time series forecasting

Campaign analysis (A/B Testing)

Business intelligence platforms (Snowflake)

Data visualization (Power BI, Tableau, Looker)

Data manipulation using advanced Microsoft Excel

Data analysis

Predictive modelling

Cloud-based big data platforms (Databricks, Domino)

Business communication tools (PowerPoint / Keynote)

Education

Master’s degree in Business Administration

Master’s degree in Data Analytics

Master’s degree in Business Analytics

Master’s degree in Project Management

Master’s degree in Engineering

Tools

Snowflake

Power BI

Tableau

Looker

Microsoft Excel

Databricks

Domino

Job description

Lead Insights and Analytics Manager - NIKE Retail Services Inc - Beaverton, OR

Drive scalable and sustainable impact from our analytics capabilities. Build recommendations that reveal the opportunities where our elevated store concepts and services are uniquely placed to attract and retain consumers. Translate complex analytics into concise stories for the business and be familiar with retail consumer trends for premium brands. Understand the role membership programs & services play in driving value for direct-to-consumer brands. Act as consumer advocate for our Nike Direct Stores. Partner with leadership to deliver insights and recommendations to serve our Nike Direct consumers and their evolving needs. Profile our Nike Direct store consumer and their relationship with our premium products, leading to optimized strategies to deliver value to these consumers and the Nike business. Implement a test and learn offense. Deliver solutions and education that empower business stakeholders to self-serve. Sit within a centralized Analytics & Insights function for North America and serve as a well-rounded Nike Direct Stores data insights expert, reporting to the Directors of Nike Direct Inline Store Analytics and Nike Direct Value Store Analytics. Partner with Nike Direct store leaders to help that team create, deliver & optimize world-class retail experiences through innovative retail concepts, connected services, and distinctive Nike experiences. Partner closely with cross-functional analytics teams to create and implement scalable insights to drive consumer engagement and growth in North America. Telecommuting is available from anywhere in the U.S., except from AK, HI, MT, NC, ND, SD, VT, and WY.

Minimum Qualifications

Employer will accept a Master’s degree in Business Administration, Data Analytics, Business Analytics, Project Management, or Engineering and 2 years of experience in the job offered or in an analytics-related position.

Required Skills

1. SQL
2. Python programming
3. R Statistical language
4. Time series forecasting
5. Campaign analysis (A/B Testing)
6. Business intelligence platforms (Snowflake)
7. Data visualization (Power BI, Tableau, Looker)
8. Data manipulation using advanced Microsoft Excel
9. Data analysis
10. Predictive modelling
11. Cloud-based big data platforms (Databricks, Domino)
12. Business communication tools (PowerPoint / Keynote)

Apply at www.Nike.com/Careers (Job# R-56877)

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We offer a number of accommodations to complete our interview process including screen readers, sign language interpreters, accessible and single location for in-person interviews, closed captioning, and other reasonable modifications as needed. If you discover, as you navigate our application process, that you need assistance or an accommodation due to a disability, please complete the Candidate Accommodation Request Form.