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Open nowPosted 19 days ago

Senior Manager, Store Analytics

REI211 open roles

Where
Seattle, Washington, United States
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Your applicationOpen nowSenior Manager, Store AnalyticsREI · Seattle, Washington, United States

  1. YouYes, apply to this one.

  2. CV RocketCV written for this posting.

  3. 25 readersRecruiter, hiring manager, skeptic. Round after round.

  4. CV RocketApplied on REI's own form.

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The clock on this job

Early applications get read.

12.1% of postings close within 7 days. Measured by our own scanner across the market. REI postings stay open a median of 2 days.

Share of postings closed within
  1. 2.1%1 day
  2. 4.5%3 days
  3. 12.1%7 days
  4. 19.1%14 days
  5. 35.6%30 days
  6. 52.7%60 days
This job: posted 19 days ago

REI median: 2 days open

The posting

Overview

At REI, data helps us create better experiences for our customers and employees. As the Senior Manager, Store Analytics, you will lead analytics, reporting, and business planning for our Stores organization. You'll manage a team of analysts and partner with teams across the co-op to turn data into clear insights and practical actions.

In this role, you will help shape how we measure store performance across our omnichannel business. You and your team will build and maintain dashboards used by thousands of employees, helping leaders make informed decisions and improve outcomes for stores, customers, and the co-op.

Responsibilities and Qualifications

Responsibilities

  • Lead, coach, and grow a team of data experts. Set clear goals, give useful feedback, and support career growth.
  • Build a data plan for stores. The plan will cover reports, dashboards, tests, data science, and business plans.
  • Turn complex data into clear facts and choices. Help leaders use those facts to improve store results and the customer experience.
  • Create models and tools that support store plans, tests, and resource choices across store and digital channels.
  • Guide store data and dashboard needs. Work with Technology and data teams to improve data quality, shared measures, and access.
  • Work across REI to set priorities, improve work steps, and share results in ways that help teams act.

Qualifications

  • 10 or more years of work in data analysis or data science. This may include models, tests, reports, or data visuals.
  • 5 or more years of experience leading data or data science teams. You know how to coach people and help them grow.
  • Skill in SQL and at least one coding language, such as R or Python.
  • Experience turning business needs into research, analysis, and clear advice for senior leaders.
  • A graduate degree in math, statistics, econometrics, operations research, industrial engineering, another engineering field, or a related field is preferred.
  • Experience with predictive or prescriptive models, store or retail data, and large reports is preferred.

Closing

At REI, we believe the outdoors is for all. We are committed to becoming a fully inclusive, anti-racist, multicultural organization. We know that there's strength in our diversity – that each employee brings unique skills, experiences, and perspectives. Every day you are driving change, fostering a culture of respect, and knowing you're backed by benefits that support your whole life. To work towards this commitment and fulfill our brand promise of inspiring and enabling a life outside for everyone, we seek employees who demonstrate different ways of working, create a sense of belonging, and actively listen and learn.

Pay Transparency

We are committed to practices that promote pay equity and transparency. As required by applicable Pay Transparency laws, REI provides a range of compensation for roles that may be hired in locations under these requirements. Factors that may be used to determine your actual salary may include a wide array of factors, including: your specific skills and experience, geographic location or other relevant factors.

REI offers all regular employees a generous employee discount, access to health benefits, a retirement savings plan and accrued time off. Click here for a detailed overview of benefits plans by employee profile.

Pay Range

$125,300.00 - $212,900.00 per year

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