Our global retail client has been in operation for over 100 years and is ranked among the top 25 publicly traded apparel companies in the world. This company is committed to making a positive impact through sustainable clothing for active lifestyles! With a focus on integrity, simplicity, growth and teamwork; this company has shown their commitment to over 40,000 employees by winning awards like “World’s Most Ethical Company” and “World’s Top Female Friendly Company”.
As a Data Analyst you’ll collaborate with cross-functional teams to build and optimize reporting frameworks, validate data integrity across systems, and generate actionable insights that inform strategic decisions. This contract role is ideal for someone with strong technical skills in data analysis, who can leverage tools like Excel, Python, and BI platforms to automate workflows, uncover trends, and deliver scalable, data-driven solutions in a fast-paced business environment.

Key responsibilities include:

• Maintain and improve Excel-based tools used for forecasting, performance tracking, and reporting
• Apply problem-solving and programming logic to streamline data workflows
• Ensure data accuracy and consistency across models and integrated systems
• Optimize performance of large and complex Excel workbooks using advanced formulas, Power Query, and structured design principles
• Document processes, formulas, and logic for transparency and scalability
• Support ad hoc data analysis and reporting requests using Excel and complementary tools

What do you need to succeed?

We all bring unique strengths to work. For this role, success starts with the following foundation:

• 3–5 years of experience in data analysis, business operations, or technical reporting
• Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field
• Advanced proficiency in Microsoft Excel (Power Query, pivot tables, dynamic arrays, charts)
• Familiarity with programming concepts and structured logic (e.g., loops, conditionals, modular design)
• Experience with SQL, Power BI, or other data visualization tools
• Exposure to ERP systems or financial modeling
• Understanding of basic scripting (e.g., VBA, Python) for light automation tasks