Data Analyst

Our client, a leading athletic footwear and apparel manufacturing company, is looking for a Data Analyst
4. This is for an initial duration of 06 months and is located at Beaverton, OR.

Job Title:

Data Analyst 4
Reference
-09197

Location:

Beaverton, OR
Duration: 06 months
Job Type: Contract (Candidates must be able to work on W2 without VISA sponsorship)
Data Analyst 4:

• Hybrid
• Tableau specialist certification would be nice to have in this role, not required
• 5 years’ experience minimum in a data analyst role

Top skills for this position include the following:

• Ability to conduct root cause analysis to pinpoint variances, and recommend solutions to avoid variances in the future
• SQL expertise (5 years)
• Python (4 years)
• Tableau (4 years)
• Databrick (2 years)
• Excellent communication and organizational skills
• 2 years’ experience in the Transportation or Supply Chain industry will be a requirement for this role

• 2 years of experience in Transportation or Supply Chain industry
• 1 year of Airtable experience
• Strong proficiency in Agile methodologies with a track record of successfully delivering projects in iterative and collaborative environments
• Consulting or Finance experience is preferred

• Go-getter attitude
• Self-navigating skills; someone who tries to identify the solution on their own instead of asking for help first
• Prior Client experience preferred
• Someone with the combination of required analytical tech skills along with the above-listed soft skills would be the ideal candidate

• CLIENT, 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 Client, it’s about each person bringing skills and passion to a challenging and constantly evolving game!
• The CLIENT, Inc. Supply Chain team is the engine that propels product around the world. Supply Chain experts ensure that every year, almost a billion units of footwear, apparel and equipment arrive at the right place, at the right time. To ensure this complex job goes off without a hitch, Supply Chain teams work with a network of more than 50 distribution centers, thousands of accounts, and more than 100,000 retail stores worldwide — making the impossible happen every single day.

• The Insights Senior Analyst, Last Mile Transportation is part of the Capacity, Performance, and Planning (CPP) team within North America Trade & Transportation’s team. This role is responsible for analyzing and extracting insights from last mile transportation data including transactional data, shipping costs, and forecasting. This role is essential to ensuring that North America Transportation leverages analytics to optimize marketplace service and efficiency and supports Client’s Supply Chain and Marketplace Strategy.
  
  The Senior Analyst partners closely with other NA Trade & Transportation (T&T) teams to provide visibility to key operational metrics, supports sourcing events and works closely with supply chain capability development organization and cross functional peers.
• We’re seeking an analytical and driven individual who can excel in a dynamic environment. The ideal candidate will possess a strong ability to navigate ambiguity, think critically, manage competing priorities, and drive results with a proactive and entrepreneurial mindset.
• Bachelor’s degree in Business Administration, Supply Chain, or combination of relevant education, experience, and training
• Descriptive, predictive, and prescriptive analytics experience with complex, unrefined data using a variety of analytical and statistical toolsets, examples include SQL, Python, Alteryx, R, or other data manipulation/mining tools
• Expertise in data cleaning, transformation, and integration processes, ensuring that data is structured appropriately and ready for analysis.
• Ability to conduct root cause analysis to pinpoint variances, and recommend solutions to avoid variances in the future
• D…