Hybrid Travel And Expense Analyst

Hybrid Travel and Expense Analyst

Location: Waltham, MA

MUST BE LOCAL CANDIDATE

This is a Hybrid role, with onsite days Tuesday - Thursday

The Travel and Expense Analyst will work as part of the Travel and Expense team within the organization to provide support for all travel and expense related activities. The primary focus of this role is to gather and analyze data from travel, expense, and credit card sources, identify trends and provide actionable insights for strategy implementation to improve efficiency and cost-effectiveness, as well as ensuring employees' travel and expense needs are met.

The ideal candidate will work well in a fast-paced and team-oriented environment with the ability to collaborate cross-functionally and with external business partners, will demonstrate strong analytical and organizational skills and sound judgment and have a keen eye for detail. The ideal candidate will also demonstrate a vested interest in the industry and keep up with industry trends through training, webinars, and news.

RESPONSIBILITIES:

• Collect, clean, and analyze travel, expense and credit card data from Power BI, Cognos BI and GRAM tools that includes but is not limited to expense reports, travel bookings and credit card transaction data.

• Utilize analytical tools and techniques to identify patterns, trends, and anomalies in T&E data, conducting root cause analysis to understand the drivers behind travel and expense variances.

• Help with identifying and creating KPIs for various aspects of the T&E Program as a component of the Sr. Management reporting package.

• Identify instances of non-compliance (especially for HCP (healthcare provider) spend), anomaly travel patterns and work with the team to address issues and improve adherence.

• Work cross-functionally to streamline processes and eliminate manual tasks through automation and technology solutions.

• Identify opportunities to optimize travel and expense costs while maintaining employee service and safety levels.

• Contribute to creation of Standard Operating Procedures (SOPs), employee User Guides and video-based training.

PREFERRED QUALIFICATIONS:

• Bachelor's Degree in Data Analytics, Finance, Economics, Business Administration, or a related field. Master's Degree is a plus.

• Proven experience and strong technical background in data analysis, preferably in a travel or finance-related role.

• Advanced proficiency in data analysis tools such as Microsoft Excel, and data visualization software (e.g., Tableau, Power BI, Microsoft Azure). Working knowledge of database management systems such as Microsoft Access is a plus.

ADDITIONAL PREFERRED QUALIFICATIONS:

• Knowledge and interest in evolving AI/ML tools in the market is a plus.

• Experience working with travel, expense and/or credit card systems (e.g., SAP Concur Travel and/or Expense) is a plus.

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