Financial Data Analyst

Employer Info:

Northeastern University

http://www.northeastern.edu/

Founded in 1898, Northeastern is a global, experiential, research university built on a tradition of engagement with the world, creating a distinctive approach to education and research. The university offers a comprehensive range of undergraduate and graduate programs leading to degrees through the doctorate in nine colleges and schools, and select advanced degrees at graduate campuses in Charlotte, North Carolina, Seattle, Silicon Valley, and Toronto.
Job Name
Financial Data Analyst
Posting Date
07/15/2019
Brief Description
The Office of Financial Planning, Strategy, and Analytics seeks a data analyst to monitor and forecast unit budgets, inform long-range planning, measure administrative performance, and improve operational efficiency in support of advancing the academic plan known as Northeastern 2025. The data analyst will implement an array of financial, mathematical, statistical, modeling, programming, and visualization techniques to convert financial and administrative data into actionable insights and options for decision makers
Job Category
Other
Job Type
Full-Time
Education Level Required
Masters
Location City
Boston, MA 02115, United states
How to Apply
Online
Direct Link
Click here for more info
Job Details
• Master’s degree required in statistics, operations research, mathematics, data science, computer science, actuarial science, engineering, physics, economics, or other quantitative research discipline
• Advanced knowledge of accounting and finance
• 5-10 years of applicable work experience in analytics, data science, business intelligence, institutional research, or related fields, preferably in higher education
• Strong customer service orientation characterized by responsiveness and tact
• Ability to work both independently and as a collaborative team member
• Capable of thinking strategically and tactically about Northeastern 2025 to support its goals
• Exceptional analytical skills with demonstrated ability to solve problems by asking the right questions, thinking creatively, developing algorithms, testing, and iterating
• Ability to write code (e.g., Python) and leverage machine learning
• Experience in building and maintaining predictive models
• Experience with business intelligence tools (e.g., Cognos, Argos, Tableau, Excel)
• Experience with statistical modeling, data analysis, reporting or equivalent quantitative analysis and associated tools (e.g., R)
• Advanced knowledge of relational databases and experience designing, maintaining and reporting from large databases and multiple tables. Ability to query enterprise databases by programming complex queries (e.g., writing SQL)
• Ability to visualize data into informative and engaging tables, charts, and graphics
• Effectively communicate and summarize ideas orally and in writing
A criminal background check is required for this position.