Manager Customer Insights & Data Analytics

Summary The Customer Insights & Data Analytics Manager plays a pivotal role in analyzing customer usage data for Ryder's products to identify sales and expansion opportunities. This manager is responsible for communicating with business stakeholders to understand Ryder's products and coordinating with technical and IT teams to identify and evaluate previously untapped data sources. They develop plans for data ingestion utilizing IT resources and ensure that the ingested data meets the needs of the marketing team or identifies and recommends process improvements. This Manager also supports the team charged with developing a deeper understanding of current and potential customers and translating that understanding into actionable insights that drive business performance. This Manager must be comfortable at all levels of big data management including sourcing, vetting, analyzing, and reporting, and must be able to turn large amounts of raw data from multiple sources into insights and strategies that result in greater customer retention, acquisition of new customers, inform cross‑sell opportunities, and assist in the development of key strategic initiatives and projects. The Manager will also support the ongoing development of a greater data infrastructure, including sourcing and vetting new data streams and enhancing and enriching existing data sets, and work across the organization with key partners to drive successful outcomes. Essential Functions Leading the effort to acquire data surrounding the usage of technical products across the organization, assessment of the data for quality and sustainability, and detailed analytics to support the sales and expansion of Ryder’s products. Elevate analytics beyond data reporting and dashboarding to deliver actionable insights that inform strategic decisions. Independently identifies process gaps, recommends and implements process improvement. Lead innovation in both analytical products and the curation of new data sources. Support initiatives to improve data quality, integrity and accessibility for the marketing organization. Engage leadership and internal stakeholders early in the process to promote a more focused project design, greater operating efficiency, and deliver insights that will have a higher impact. Provide analytics and customer and experience insights down to the branch and unit level. Additional Responsibilities Performs other duties as assigned. Skills and Abilities Detailed oriented with excellent follow‑up practices. A strong sense of urgency and commitment to get the job done quickly and with high quality. Capable of multi‑tasking, highly organized, with excellent time‑management skills. Demonstrates problem‑solving skills and ability to find creative solutions to challenges. Decision quality, dealing with ambiguity, business acumen, managing & measuring work, developing, innovation management, command skills, managing vision and purpose. Ability to create and maintain professional relationships within all levels of the organization (peers, work groups, customers, supervisors). Work cross‑functionally to achieve desired results. Effective written and verbal communication skills, with the ability to interact with management and across business and IT groups. Develops and delivers effective presentations to senior levels of management. Ability to work independently and as a member of a team. Possesses strong technical aptitude. Advanced knowledge of complex query writing using SQL with the ability to join multiple tables, summarizing, grouping, data manipulation, performing analytical functions, etc. Familiarity and knowledge of other programming languages and analytical tools (Python, PowerBI, R, DataBricks, etc.). Good understanding of B2B marketing concepts, practices, challenges. Ability to arrive at conclusions and give recommendations to senior management on information obtained. Qualifications Bachelor's degree in engineering, economics, finance, statistics, or computer science. Master's degree in business administration (MBA) and/or other master's degree (preferred). 8 years or more in big‑data data analysis in a Fortune500 company or management consulting. 8 years or more working experience with Excel, SQL, R, SAS, or other statistical packages. 1 year or more experience in the transportation/logistics industry (preferred). Customer experience insights methods, analytics, tools, and practices – advanced level. Excel, SQL, R, SAS, or other statistical packages – advanced level. Compensation Information The position is salaried and offers a base salary ranging from $130,000 to $140,000 per year. The role may also be eligible to receive an annual bonus, commission, and/or long‑term incentive plan based on the level and/or type. Benefits Information Ryder offers comprehensive health and welfare benefits, including medical, prescription, dental, vision, life insurance, and disability insurance options, as well as paid time off for vacation, illness, bereavement, family and parental leave, and a tax‑advantaged 401(k) retirement savings plan. Equal Opportunity Statement Ryder is proud to be an Equal Opportunity Employer and a Drug‑Free workplace. All qualified applicants will receive consideration for employment without regard to race, religion, color, national origin, sex, sexual orientation, gender identity, age, status as a protected veteran, among other things, or status as a qualified individual with disability. #J-18808-Ljbffr