採用
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:
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Microsoft SQL – SSRS, SSAS, SSIS
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DevOps tasks; deployment pipelines, automation, QA to Production
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replication, data testing and validation
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Snowflake – Data Engineering; Development of Non-Native
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functionality to Snowflake Platform
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JIRA
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Azure Server Management
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API development
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DAG and Airflow systems
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AWS S3, EMR, and Hadoop
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Azure Data Factory
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BI tool methodology
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Teradata
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Databricks Data Lake Opensourse AI
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Python Ingestion and ETL
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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
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
News & Buzz
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Nike says its factory workers make nearly double the minimum wage. In Indonesia, workers say, ‘It’s not true’ - OregonLive.com
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Nike Says Its Factory Workers Make Nearly Double the Minimum Wage. In Indonesia, Workers Say, “It’s Not True.” - ProPublica
Source: ProPublica
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