Analytics Engineer

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 will be one of the pioneers shaping this transformation.

As an Analytics Engineer at RideCo, you’ll play a key role in driving this change, helping to build the data foundation that powers our innovative solutions. This is more than a job; it’s a chance to be part of a team leading the charge toward smarter, faster, and more efficient transit solutions. Data is the pulse of RideCo’s operations and decision-making. As an Analytics Engineer, you’ll build clear, impactful dashboards and well-structured data models that support day-to-day operations and long-term strategy. If you're passionate about transforming data into meaningful insights and love working in Power BI, we’d love to meet you.

Your day-to-day responsibilities will include :

• Build Effective Data Models : Develop clean, reliable, and reusable data models optimized for analytics, ensuring consistency and accuracy across all reporting layers.
• Create Power BI Dashboards and Reports : Design and publish dashboards and reports that drive decision-making across internal teams and clients.
• Collaborate with Stakeholders : Work with internal users to gather reporting needs and translate them into insightful, actionable visualizations.
• Ensure Data Accuracy and Quality : Validate data and perform regular checks to ensure consistency, accuracy, and usability.
• Optimize for Performance : Tune datasets and reports for speed and efficiency, applying best practices in Power BI development.
• Support Data Governance : Contribute to maintaining documentation and consistency in definitions, calculations, and usage across reports.

Your Toolbox / What You’ll Master : At RideCo, you’ll join a vibrant team that’s pushing the boundaries of on-demand transit. You’ll have the chance to learn and leverage the following tools and technologies, building valuable expertise across :

Preferred Qualifications and Experience :

Compensation and Benefits :