Business Data Analyst

RideCo On-Demand Transit; Southwestern Ontario; On-site; CAD 70,000 - 90,000; Full time

Job summary

A transportation technology firm is seeking a Business Data Analyst in Southwestern Ontario to work on dynamic client projects and deliver solutions on their platform. This role involves managing client relationships, conducting data analysis for performance reports, and providing technical support for service launches. Ideal candidates will have strong skills in project management and the ability to drive continuous improvements in urban mobility solutions.

Qualifications

• Experience in data analysis and performance reporting.
• Strong communication skills for client interactions.
• Ability to manage multiple projects and stakeholders.

Responsibilities

• Plan and launch client projects, fostering strong relationships.
• Develop and implement transportation solutions on the RideCo platform.
• Perform ad-hoc data analysis and collaborate on performance reports.
• Run simulations and optimize service designs based on KPIs.
• Provide ongoing technical systems support and drive improvements.

Skills

Data analysis

Client management

Technical support

Project management

Communication skills

Job description

This is an opportunity in the exciting and fast-growing transportation technology industry. Public transit is being transformed from a system of static, scheduled fixed-routes, to a dynamic on-demand network, and you’ll be one of the pioneers shaping this transformation. You’ll join a robust and rapidly growing client success team.

As a Business Data Analyst, you’ll be responsible for working directly with clients in face-to-face virtual or in-person meetings, analyzing client operations data, working with project managers on project implementations, running service simulations, assessing key performance indicators, proactively driving client operational improvements, and providing technical systems support for multiple clients. You will develop a deep understanding of urban mobility challenges faced by transit operators. You will become an expert on RideCo’s technology platform and data-driven design and operation of transportation services.

Your day-to-day responsibilities will include:

• Program and client management: Plan and launch client projects as per the project timeline. Support communication and coordination between project stakeholders including transit planners, senior management, marketing, and operations staff. Work closely with the client through the entire project lifecycle and post-launch operations, prioritizing requests and fostering a strong relationship focused on desired customer outcomes and world-class customer experience.
• Implement transportation services: Work together with project managers, solutions engineers, and client stakeholders to develop and implement transportation solutions that fit the needs of the customer. Translate client requirements into technical solutions leveraging the RideCo platform. Utilize a keen eye for detail to manipulate service parameters to meet the precise needs and goals of the client.
• Support new service launches: Setup, test, and tune system parameters, run simulations, oversee training, soft launch, monitor KPIs on launch week and make ongoing system changes as needed.
• Data analysis and performance reporting: Perform ad-hoc data analysis tasks to compare service performance against goals, evaluate trends, and proactively identify areas for improvement. Collaborate with data engineers to design performance analysis reports spanning rider user-experience, driver user-experience, marketing, operating efficiency, and unit economics. Review the performance reports with stakeholders and the client operations team on weekly face-to-face client meetings to generate insights and actions. Collaborate with project managers to develop end to end executive business review presentations for senior stakeholders.
• Run simulations and optimize service design: Perform simulations to analyze performance and operational KPIs. Iterate on the service model by tuning and optimizing dozens of parameters such as dynamic routing engine settings, vehicle count and mix, supply positioning, service frequency, location and density of potential stops, and demand models. Collaborate with the client, operations managers, and other key stakeholders throughout this process. Support the client in setting targets and KPIs for the service prior to launch.
• Provide technical support: Provide ongoing technical systems and analytics support to operations managers. Advise them on using the system’s dashboards and interpreting the data. Perform system configuration changes based on feedback from operations staff, drivers, and passengers.
• Drive continuous improvement: Collaboratively develop weekly/monthly actions to drive continuous improvements, and to achieve the service’s objectives (e.g. user experience, ridership, operating efficiency, financials, etc.).
• Improve internal processes and tooling: Identify ways to further automate and system