Remote Data Analyst ā Supply Chain Insights
Remote Data Analyst ā Supply Chain Insights
UPS is a logistics and transportation company founded in 1907 with a mission to deliver excellence to our customers. As a global company, we provide services to millions of customers in over 220 countries and territories, with a fleet of over 250,000 vehicles and a team of over 500,000 employees. UPS is a great place to work because of our commitment to safety, diversity and inclusion, and community involvement. We have a strong culture of integrity, customer focus, and continuous improvement.
The Remote Data Analyst ā Supply Chain Insights is a critical role within our organization, responsible for analyzing data to identify trends and insights that inform business decisions. This person will work closely with cross-functional teams to develop and implement data-driven strategies that improve supply chain efficiency and customer satisfaction. The Remote Data Analyst will report to the Manager of Data Analytics and will have a significant impact on the success of our business.
š KEY RESPONSIBILITIES:
Analyze large datasets from various sources, including shipment tracking, inventory management, and customer feedback, to identify trends and insights that inform business decisions.
Develop and maintain dashboards and reports to visualize data and communicate insights to stakeholders.
Collaborate with cross-functional teams to develop and implement data-driven strategies that improve supply chain efficiency and customer satisfaction.
Develop and maintain relationships with key stakeholders, including operations teams, customer service teams, and leadership.
Develop and maintain data quality and integrity by ensuring that data is accurate, complete, and consistent.
Provide data-driven recommendations to senior leaders to inform business decisions.
ā REQUIRED QUALIFICATIONS:
3+ years of experience in data analysis or a related field.
Bachelor's degree in a quantitative field, such as mathematics, statistics, or computer science.
Strong technical skills in data analysis, including proficiency in tools such as SQL, Excel, and data visualization software.
Experience working with large datasets and developing data-driven insights.
Certification in data analytics or a related field is a plus.
ā PREFERRED QUALIFICATIONS:
Master's degree in a quantitative field.
Experience working in a logistics or transportation company.
Certification in data science or a related field.
Proficiency in programming languages such as Python or R.
š° WHAT WE OFFER:
The salary range for this position is £55,000 - £75,000 per year, depending on experience.
UPS offers a competitive benefits package, including health insurance, retirement plan, and vacation days.
We also offer a generous learning and development budget, as well as a hybrid work policy that allows employees to work from home or in the office.
Our team is collaborative and supportive, with a strong focus on teamwork and continuous improvement.
We also offer opportunities for career growth and advancement, with a clear path for professional development.
š„ ABOUT THE TEAM:
The Data Analytics team is a small but dynamic group that works closely with cross-functional teams to develop and implement data-driven strategies. We are a collaborative and supportive team that values diversity and inclusion. We are a fast-paced team that is always looking for new ways to improve our work and make a positive impact on the business.
šØ HOW TO APPLY:
To apply for this position, please submit your resume and a cover letter explaining why you are a strong candidate for this role. We expect to receive applications within 2 weeks of posting this job. Please include your salary requirements in your cover letter.
š Job Details
| Job Type | š Remote |
| Location | Remote, GB |
| Address | 123 Business Park Road, NW10 7NL |
| Salary | GBP 55,000 ā 75,000 / year |
| Industry | General |
| Company | UPS |
| Valid Until | 2026-10-13 |
šØ How to Apply
Submit your updated CV and a brief cover letter to UPS. Applications are reviewed on a rolling basis. Only shortlisted candidates will be contacted within 2 weeks of applying.