Business Operations Analyst

Job Summary:

The Business Operations Analyst role is critical within the Organization’s operations and supply chain. This position is responsible for consolidating various raw data reports, data analysis, and creating reports that measure the effectiveness and efficiency of the operational performance. The will be a part-time hybrid position that could lead to full-time.

Responsibilities:

• Responsible for creating and issuing dashboards and analysis in Excel, PowerPoint, or Power BI that range from weekly to monthly to bi-annually, giving clear stats and advising observations of the data to inform the business on performance relative to KPIs and goals.
• Lead in creating tools for data collection and reporting (i.e. vendor’s scorecards, departmental KPI, etc.) that support day-to-day business with greater efficiency, and always strive for continuous improvement.
• Partner closely with cross-functional teams to ensure data integrity and accuracy.
• Verification of information among different data files
• Support initiatives related to business functions/supply chain and the streamlining of Business Operations to support strategic direction.
• Work on ad-hoc reports and projects as needed.
• You have a passion for accuracy, seek clarity, be clear and provide clarity to vendors & the business.
• Verify and update data by comparing it to source documents.
• Be heavily involved in the fine-tuning the current data platforms (data pipelines -> transformations -> visualizations)
• Establish standards for data collection that will be used by the rest of the organization

Minimum Requirements:

• Bachelor's Degree in a Relevant Field: A degree in Business Administration, Supply Chain Management, Operations Research, Data Analytics, or a related field is essential to provide foundational knowledge for this role.
• Proven Experience in Similar Role: Previous experience of 2 years in a similar role, especially within e-commerce, consumer goods, or apparel industries, demonstrates the candidate's familiarity with the operational dynamics of such businesses.
• Proficiency in Data Analysis Tools: Mastery of data analysis and visualization tools like Excel, PowerPoint, Power BI, Tableau, or similar software is critical for interpreting complex data sets and generating actionable insights.
• Strong Analytical Skills: The ability to interpret complex data, identify trends, and offer meaningful insights to improve operational efficiency and performance is crucial for this role.

Excellent Communication and Collaboration Skills: Effective communication and collaboration across cross-functional teams are necessary to ensure data accuracy, and integrity, and to support continuous improvement initiatives.