Tech Finance Analyst (Fully Remote)

Title: Finance and Incentive Analyst (P1) (Entry Level)
Location: Remote Canada
Reports To: Finance and Incentive Supervisor
As a Finance and Incentive Data Analyst, you will research and interpret incentive (marketing) and automotive data to meet our high standards of accuracy, timeliness, and completeness, driven by client demand. You may work as a shared resource between our Incentives and Automotive Data departments, depending on work assignment priorities.
Your work will significantly impact the automotive industry by providing accurate, timely, and complete incentive data sets that support manufacturers in selling more vehicles.
Learn and understand incentive marketing programs in the automotive industry through training and self-directed research.
Analyze and interpret incentive programs and enter the data into Autodata Corp's business system using internal transaction tools.
Provide quality control (QC) support for incentive data in databases and products.
Audit data monthly and quarterly.
Knowledge of common computer and basic Internet technologies.
Ability to present ideas in business-friendly and user-friendly language.
Willingness to work periodic monthly overtime during peak periods.
Ability to conform to shifting priorities, demands, and timelines through analytical and problem-solving capabilities.
Our team members represent our organization's most valuable assets. We firmly believe that by prioritizing their well-being, they will, in turn, prioritize the satisfaction of our customers. Distinguishing ourselves as industry experts rather than mere data analysts, we center our philosophy on providing an exceptional customer journey with the highest quality of data possible. We empower our staff to make a meaningful impact in each interaction with the data, taking ownership from manufacture/program to client nuances to our products that distribute the data.
If you genuinely value the customer experience, thrive in a dynamic team setting, and find fulfillment in aiding others and brightening someone's day, we encourage you to get in touch with us. If you're currently a high-performing member of a data team but sense untapped potential to enhance the customer experience or drive positive change in your organization, this opportunity is for you.

PC Skills with MS Office Applications: Proficiency in Microsoft Office applications such as Word, Excel, PowerPoint, Power PDF, and Outlook are highly desirable. These tools are essential for creating reports, analyzing data, preparing presentations, and managing communications effectively.
Finance/Math/Statistics (Data Analytics/Data Science): A background in finance, mathematics, or statistics, particularly in data analytics or data science, will be beneficial. This knowledge helps in interpreting complex data sets and making data-driven decisions.
Dealership Experience (Finance and Incentives): Experience working in a dealership, especially in finance and incentives, provides valuable insights into the automotive industry's operational and financial aspects.
Understanding Regular Expressions: Proficiency in using regular expressions to identify different patterns in data is a plus. This skill is useful for data cleaning, validation, and extraction tasks.
Customer Service Experience: Previous experience in customer service roles is advantageous. It helps in understanding customer needs, improving customer satisfaction, and providing excellent support.
Automotive Knowledge: A strong understanding of the automotive industry, including trends, technologies, and market dynamics, is beneficial. Remote First: We prioritize remote work, offering flexibility and the ability to work from anywhere, ensuring a healthy work-life balance.
We encourage a flexible work environment that adapts to the needs of our employees, promoting productivity and well-being.
Reward Performance: We recognize and reward outstanding performance, ensuring that hard work and achievements are celebrated.
We unite industry leading data and insights with world-class technology to solve our clients' toughest challenges.
Qualified applicants will receive consideration without regard to race, color, religion, sex, national origin, age, sexual orientation, gender identity, gender expression, veteran status, or disability.