We are seeking a motivated and detail-oriented Financial Data Analyst Intern to join our Financial Operations team. In this role, you will assist in managing and analyzing data from various sources to aid our Financial Planning and Analysis (FP&A) teams in making informed decisions. You will work closely with the team to design, implement, and optimize reporting solutions using tools such as Alteryx, Power BI, and Microsoft D365.
What We Offer
- Hands-on experience working with cutting-edge financial and analytical tools.
- Mentorship and opportunities for professional growth in a collaborative environment.
- The chance to contribute to meaningful projects that impact strategic decision-making.
- Develop, automate, and maintain data workflows and models using Alteryx and other analytical tools.
- Create and enhance dashboards and reports in Power BI to provide actionable insights for the FP&A teams.
- Collaborate with cross-functional teams to gather, clean, and integrate data from sources such as Microsoft D365, Data Lake, and other platforms.
- Assist in analyzing financial and operational data to identify trends, variances, and opportunities for process improvements.
- Support ad hoc financial reporting and data analysis projects as needed.
- Ensure the accuracy, consistency, and timeliness of data within financial systems.
- Currently pursuing a degree in Finance, Accounting, Data Analytics, Computer Science, or a related field.
- Strong analytical and problem-solving skills, with attention to detail.
- Experience or coursework in data visualization tools (e.g., Power BI) and data transformation platforms (e.g., Alteryx).
- Proficiency in SQL, with the ability to write queries for data extraction and manipulation.
- Familiarity with financial systems like Microsoft D365 and cloud-based data platforms such as Data Lake is a plus.
- Excellent communication and teamwork skills, with the ability to collaborate effectively in a dynamic environment.
- Self-motivated and eager to learn new tools and techniques to improve data analysis processes.