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Data Analyst

Nike

Data Analyst

Nike

Beaverton, Oregon

·

On-site

·

Full-time

·

1w ago

Required Skills

SQL

SSRS

SSAS

SSIS

Snowflake

Jira

Azure

API development

Airflow

AWS

Hadoop

Azure Data Factory

Teradata

Databricks

Python

ETL

  • Data Analyst – NIKE RETAIL SERVICES INC.
  • Beaverton, OR. Work with a team of expert analytics managers, engineers and product owners to design innovative and effective solutions to enable operations teams to support business priorities and objectives. Consult with multiple multi-functional partners and take ownership of the design solutions with partners. Build proofs-of-concept, present findings, and work with partners to promote and deploy solutions. Interact with data experts to ingest data as necessary, and build the queries, reports, dashboards, procedures and processes to deliver solutions. Work with the team to train and educate, ensuring your solutions are supported and sustainable. Deliver technical solutions which will drive the greatest benefit for Nike. Support strategy development and deployment of new capabilities across Nike’s North America Supply Chain. Work with agility to ensure Nike’s Supply Chain can meet the demands of our consumers. Partner with logistics professionals concerned with international and domestic transportation of all Nike products to our accounts and direct to our consumers. Work with Marketplace Operations to provide insights to manage, forecast and plan for successful delivery to their accounts. Work with advanced analytics teams to enable long-term supply chain strategy and plan for our supply chain of the future. Work with Nike Direct Digital commercial teams to meet the ever-increasing demands of our consumers; and work with data & analytics managers, directors, data scientists and operations managers to ensure partners have the information they need in order to monitor key business processes and confidently take action. Telecommuting is available from anywhere in the U.S., except from AK, HI, MT, NC, ND, SD, VT, and WY.

Must have a Master’s degree in Computer and Information Systems, Computer Science, Engineering and 2 years of experience in the job offered or in a Analyst-related occupation. Experience must include:

  • Microsoft SQL – SSRS, SSAS, SSIS

  • DevOps tasks; deployment pipelines, automation, QA to Production

  • replication, data testing and validation

  • Snowflake – Data Engineering; Development of Non-Native

  • functionality to Snowflake Platform

  • JIRA

  • Azure Server Management

  • API development

  • DAG and Airflow systems

  • AWS S3, EMR, and Hadoop

  • Azure Data Factory

  • BI tool methodology

  • Teradata

  • Databricks Data Lake Opensourse AI

  • Python Ingestion and ETL

  • Github actions

Apply at www.jobs.nike.com (Job# R-79407)

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.

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About Nike

Nike

A retail brand that provides the sale of apparel, footwear, sports equipment, and accessory products.

10,001+

Employees

Beaverton

Headquarters

$200B

Valuation

Reviews

3.7

10 reviews

Work Life Balance

3.5

Compensation

3.8

Culture

3.4

Career

3.6

Management

2.8

65%

Recommend to a Friend

Pros

Great coworkers and team environment

Good benefits and competitive compensation

Fun and energetic work environment

Cons

Poor management and leadership issues

Workplace politics and competitive environment

Inconsistent company direction and frequent changes

Salary Ranges

34 data points

Mid/L4

Senior/L5

Mid/L4 · Data Analyst

2 reports

$134,195

total / year

Base

$116,500

Stock

-

Bonus

-

$131,895

$136,359

Interview Experience

4 interviews

Difficulty

2.8

/ 5

Duration

14-28 weeks

Offer Rate

25%

Experience

Positive 25%

Neutral 50%

Negative 25%

Interview Process

1

Phone Screen

2

HireVue Video Interview

3

Final Round