Data Analytics Manager

VeoRide is at the forefront of transforming urban mobility through innovative solutions. Our mission is to make transportation smarter, safer, and more accessible to everyone. We are looking for a Data Analytics Manager to lead our data-driven strategy and harness the power of data to propel us into the future of urban mobility. 

As the Data Analytics Manager, you will be responsible for leading the data analytics team, developing and executing data strategies that support VeoRide's business goals. You will play a crucial role in decision-making processes, optimizing operations, and enhancing customer satisfaction through insights derived from data. This role is a hybrid role and you will be required to go into the office 3 days a week.

Responsibilities:

• Lead and develop a team of data analysts and scientists to support business objectives.
• Oversee the collection, analysis, and interpretation of data to drive strategic decisions.
• Develop and maintain robust reporting functions using Looker, ensuring that the team supports and optimizes Looker for comprehensive reporting and analytics across the company.
• Responsible for the development, maintenance, and optimization of DBT pipelines to ensure efficient and reliable data transformation and loading processes, supporting data analytics and reporting.
• Develop and monitor key performance indicators (KPIs) to measure effectiveness and identify areas for improvement.
• Collaborate with various departments to understand data needs and provide actionable insights through advanced reporting and analytics.
• Stay abreast of industry trends and advancements in data analytics and technology.
• Ensure data privacy and compliance with relevant regulations.
• Responsible for data reporting to send to selective cities of operation

Competencies

• Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, or a related field.
• Minimum of 6 years of experience in data analytics, with at least 2 years in a leadership role.
• Proficiency in data analytics tools and software (e.g., SQL, Looker, Python, R, Tableau, Power BI).
• Strong understanding of  predictive modeling and statistical analysis.
• Excellent leadership and team management skills.
• Proven ability to translate data insights into actionable business strategies.
• Exceptional communication and interpersonal skills, with the ability to explain complex concepts to non-technical stakeholders.