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Data Analyst – Marketplace Supply Chain Data Products

Nike Inc

Salem (OR)

Remote

USD 60,000 - 100,000

Full time

30+ days ago

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Job summary

An established industry player is seeking a talented Data Analyst to join their dynamic team. In this exciting role, you will analyze complex business problems using data from various sources, providing valuable insights that drive decision-making. You'll collaborate with stakeholders to develop innovative data products and ensure data quality and governance. This position offers a unique opportunity to work independently and make a significant impact in a forward-thinking environment. If you're passionate about data and eager to contribute to a vibrant culture of creativity and diversity, this is the role for you!

Qualifications

  • Strong analytical skills to analyze business problems using data.
  • Proficiency in SQL and data visualization tools is essential.
  • Experience with data governance and quality control is preferred.

Responsibilities

  • Analyze complex business problems using internal and external data.
  • Develop forecasts and strategic plans based on business data.
  • Collaborate with stakeholders to create sustainable data products.

Skills

Analytical Skills
Problem-Solving Skills
Communication Skills
Data Governance
Data Quality
Data Validation
Data Mining
Statistical Analysis
Initiative

Education

Certification in Data Analysis

Tools

SQL
Data Visualization Tools
SAP S4
Databricks

Job description

Title: Data Analyst – Marketplace Supply Chain Data Products

Location: Remote, US

Duration: 15 months contract

NIKE, Inc. does more than outfit the world's best athletes. It is a place to explore potential, obliterate boundaries and push out the edges of what can be. The company looks for people who can grow, think, dream and create. Its culture thrives by embracing diversity and rewarding imagination. The brand seeks achievers, leaders and visionaries. At Nike, it’s about each person bringing skills and passion to a challenging and constantly evolving game.

WHAT YOU WILL WORK ON
  • Analyze complex business problems using data from internal and external sources, providing insights to inform decision-making
  • Identify and interpret trends and patterns in datasets to inform business strategy
  • Develop forecasts, recommendations, and strategic plans based on business data and market knowledge
  • Create specifications (Source to Target Mapping) for data products, reports, and analysis based on business needs and available data elements
  • Collaborate with stakeholders to understand requirements and develop sustainable data products
  • Document and communicate system and analytics changes to the business, translating complex functionality into business-relevant language
  • Validate key performance indicators and build queries to measure business performance
  • Develop data governance standards from data ingestion to product dictionaries and documentation
  • Develop SQL queries and data visualizations to fulfill ad-hoc analysis requests and ongoing reporting needs
  • Use data mining and statistical analysis to extract insights from datasets and identify correlations and patterns
  • Monitor data quality and provide recommendations to remove corrupt data
  • Work independently and take initiative to identify, explore, and solve problems
WHAT YOU BRING
  • Strong analytical and problem-solving skills
  • Ability to communicate complex data insights to non-technical stakeholders
  • Experience with data governance, data quality, and data validation
  • Proficiency in SQL and data visualization tools
  • Experience with Data modeling techniques & building models
  • Experience with data mining and statistical analysis
  • Ability to work independently and take initiative to identify and solve problems

Nice to Have:

  • Experience with data product development and data architecture
  • Knowledge of standard methodologies in reporting and analysis, such as data integrity, unit testing, and data quality control
  • Experience working with SAP S4 and navigating its data structures
  • Experience with high-volume data processing and big data technologies
  • Certification in data analysis or a related field, Databricks preferred
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