Travel and Expense Analyst - Waltham, United States - Precision Life Sciences
Description
Travel and Expense AnalystThis 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 Finance organization to provide support for all travel and expense (TE) related activities for Company plc and its affiliates.
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 TE Program efficiency and cost-effectiveness, as well as ensuring employees travel and expense needs are met.
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 TE data, conducting root cause analysis to understand the drivers behind travel and expense variances.
Develop reports, dashboards, and visualizations to communicate key insights and metrics and present findings and observations to the Manager, in a clear and concise manner.
Help with identifying and creating KPIs for various aspects of the TE Program as a component of the Arrangement 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.
Drive continuous improvement initiatives to enhance the overall effectiveness of Company TE Program.
Contribute to creation of Standard Operating Procedures (SOPs), employee User Guides and video-based training.
QUALIFICATIONS AND PERSONAL ATTRIBUTES
BASIC QUALIFICATIONS:
Bachelors Degree in Data Analytics, Finance, Economics, Business Administration, or a related field. Masters 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).
PREFERRED QUALIFICATIONS:
Knowledge and interest in evolving Ai/ML tools in the market is a plus.
Experience working with travel, expense/or credit card systems (e.g., SAP Concur Travel and/or Expense) is a plus.
Strong analytical and problem-solving skills, with a very detail-oriented mindset.
Excellent verbal, written and presentation skills, with the ability to convey complex information to diverse audiences.
Ability to work independently and collaboratively in a fast-paced, dynamic environment.
Excellent organization, self-awareness, and interpersonal skills.
Highly motivated self-starter with proven ability to learn new concepts independently, coupled with ability for efficiently managing assignments and prioritizing workflow with increasing autonomy.
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