Title: Human Resources Analyst 2
Location: Beaverton, OR
Duration: 6 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
The nature of the work is focused on the company's human capital.
• Respond to and completes complex adhoc and recurring data and report requirements from both internal and external (to the dept) customers.
• Responsible for efficient and sustainable report design. Support larger HR initiatives by consolidating data, updating charts and preparing reports.
• Develop, maintain and continuously improve reporting processes for the HR Community ensuring sustainability and efficiency. Understand and reconcile gaps, overlaps, and apparent contradictions among and within reports and reporting tools.
• Develop audit procedures for standard reports. Assess the report and data requirements and determine the best for standard reports.
• Assess the report and data requirements and determine the best technology solution, determine the appropriate output, format and distribution method.
• Responsible for vendor management in the case of reporting and analytics technologies.
• Lead to the accomplishment of key goals across consumer and commercial analytics functions.
• Work with key stakeholders to understand requirements, develop sustainable data solutions, and provide insights and recommendations.
• Document and communicate systems and analytics changes to the business, translating complex functionality into business relevant language.
• Validate key performance indicators and build queries to quantitatively measure business performance. Communicate with cross-functional teams to understand the business cause of data anomalies and outliers.
• 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 leveraging standard query syntax.
• Organize and transform information into comprehensible structures. Use data to predict trends and perform statistical analysis.
• Use data mining to extract information from data sets and identify correlations and patterns.
• Monitor data quality and remove corrupt data.
• Evaluate and utilize new technologies, tools, and frameworks centered around high-volume data processing. Improve existing processes through automation and efficient workflows.
• Build and deliver scalable data and analytics solutions. Work independently and take initiative to identify, explore and solve problems.
• Design and build innovative data and analytics solutions to support key decisionsSupport standard methodologies in reporting and analysis, such as, data integrity, unit testing, data quality control, system integration testing, modeling, validation, and documentation. Independently support end-to-end analysis to advise product strategy, data architecture and reporting decisions.
WHAT YOU BRING
• Bachelor's Degree with 2-4 years of directly relevant work experience.
• Experience in leave of absence management and accommodations under the ADA.
• Ability to handle high-volume requests efficiently.
• Proficiency in SQL queries, data visualization tools, and data analysis techniques.
• Strong communication and collaboration skills.
• Ability to translate complex technical concepts into business language.
• Familiarity with data governance standards and documentation practices.
• Experience with data integrity, unit testing, data quality control, and system integration testing.
• Proven track record of designing and delivering scalable data and analytics solutions.
• Ability to work independently and take initiative in problem-solving.
• Knowledge of reporting and analytics technologies and frameworks.
• Strong attention to detail and ability to prioritize tasks effectively.
