Ally Financial Inc. is a leading digital financial services company focused on customer-centric solutions. They are seeking an Analyst in Remarketing Data Analytics to report on business performance, analyze trends, and support sales and leadership teams through actionable insights.
Develop and maintain daily, weekly, monthly, and ad-Hoc reporting and ensure the information is readily accessible to the field sales organization via posting on various platforms and via push report methods.
Identify operating/performance trends and outliers via interpretation of business intelligence data and quantitative analysis.
Assist with development and implementation of appropriate metrics/reporting that drive business results and adoption of best practices.
Interprets and translates business data and intelligence into market insights and actionable reporting.
Communicates effectively to support corporate objectives and identification of market growth opportunities and competitive landscape.
Identifies automation opportunities within the immediate team, as well as other SmartAuction teams, to promote greater operational efficiency & effectiveness.
Promotes sales team success through actionable recommendations and executive summaries to accompany data and analytics.
Support of and participation with senior leadership team and matrix partners in revenue generation and process improvement opportunities.
Elevates risk issues to management and supports monitoring and mitigation of risk elements by first line of defense.
Active role with greater Remarketing sales team.
Qualification
Required
Bachelor's degree in related field strongly preferred.
2+ years of analytics or reporting-related experience.
Ability to contribute to discussions with stakeholders from various capacities.
Experience in a customer/client service capacity to assist with developing, maintaining, & troubleshooting customer-facing reporting & issues.
Ability to independently & creatively research, troubleshoot, & solve technical issues or challenges.
Demonstrate a developed understanding of quantitative and qualitative analysis and research methods.
Strong practical knowledge of SQL & database technologies (Oracle, Snowflake).
Experience with SAS and MS Access.
Experience with other languages such as Python or R is a plus.
Experience with logistical regression, decision trees, survival analysis, mathematical program is a plus.
Strong analytical, communication (written and oral), and interpersonal skills.
Ability to respond quickly to a changing environment.
At this time, Ally will not sponsor a new applicant for employment authorization for this position.
Preferred
Graduate degree is preferred.
Experience with visualization software such as Power BI (preferred), Tableau, Qlik Sense, etc.
Benefits
11 paid holidays
20 paid time off days
8 hours of volunteer time off, yearly
401K retirement savings plan with matching and company contributions
Student loan pay downs
529 educational save up assistance programs
Tuition reimbursement
Employee stock purchase plan
Financial learning center and financial coach access
Flexible health and insurance options including medical, dental and vision
Employee, spouse and child life insurance
Short- and long-term disability
Pre-tax Health Savings Account with employer contributions
