Data Analyst
Data Analyst
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1 Vacancy
Job Description
Manager Notes:
- This position is onsite WHQ for the hybrid work schedule
- 2 years experience in the Transportation or Supply Chain industry will be a requirement for this role
- Candidates need to be very strong. Not looking for low/mid-level candidates.
- Degree not a requirement for this role
- 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
- Desired soft skills include the following:
- Go-getter attitude
- Self-navigating skills; someone who tries to identify the solution on their own instead of asking for help first
- Prior Nike experience preferred
- Someone with the combination of required analytical tech skills along with the above-listed soft skills would be the ideal candidate
- The candidate will work with a larger group of 12 people but will work directly/closely with 3-4 teammates
- Team anticipates 2 rounds of interviews
WHO WE ARE LOOKING FOR
The Insights Senior Analyst Last Mile Transportation is part of the Capacity Performance and Planning (CPP) team within North America Trade & Transportations 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 our 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.
Were 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.
- Bachelors 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
- Demonstrated experience simplifying complex analytics to explain difficult concepts and garner cross-functional buy in
- 5 years of progressive analytics experience in the field of logistics
- 5 years of experience with SQL 4 years of experience in Python 2 years of experience in Databricks 4 years of experience in Tableau
- Excellent communication and organizational skills
PREFERRED:
- 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
WHAT YOULL WORK WITH
Some examples of what youll work on include:
- Maintain centralized Transportation-related data consumption and reporting layers collaborating with stakeholders to understand their data requirements and provide them with reliable and well-structured data
- Drive analysis of financial and operational performance data to identify key insights and opportunities to improve the end-to-end transportation network leveraging analytical modeling and predictive analytics
- Report business key performance indicators (KPIs) for senior leadership and partner with the stakeholders to deliver relevant analysis and insights.
- Provide data-driven insights to support business operations including detailed spend forecasting volume/spend analytics and vendor selection/allocation recommendations
- Coordinate and lead large analytical projects with firm deadlines; conduct ad-hoc analysis to support strategic discussions with key internal and external partners; and support capability development to drive business growth and performance across business segments and stakeholders
Employment Type
Full-time
