Data Analyst

About The Company
GoBolt is a forward-thinking logistics company dedicated to transforming the ecommerce and last-mile delivery landscape through innovative technology, customer-centric strategies, and sustainable practices. Serving a diverse range of clients from local brands to large national retailers, GoBolt emphasizes operational excellence and environmental responsibility. The company is actively building North America’s largest electric-vehicle fleet, demonstrating its commitment to reducing industry carbon footprints and promoting sustainability. With a focus on high growth and future expansion, GoBolt offers a dynamic environment where talented professionals can thrive and contribute to shaping the future of logistics.
About The Role
We are seeking a highly skilled and operationally focused Data Analyst to join our team. This role is pivotal in developing and managing dashboards, metrics, and data models that support our operational and account management functions. The ideal candidate will possess a strong analytical mindset, excellent technical skills, and the ability to translate complex data into actionable insights. You will collaborate closely with cross-functional teams, including operations, product, and engineering, to ensure our data infrastructure is robust, reliable, and optimized for decision-making. The position involves hands-on work in our warehouses and requires a proactive approach to data quality, governance, and continuous improvement.
Qualifications

• 1-2 years of experience as a data analyst or in a similar analytical role
• Proficiency in SQL for data querying, transformation, and manipulation
• Experience with Business Intelligence tools such as Looker, Tableau, Mode, or Metabase
• Background in Computer Science, Analytics, or a related field
• Strong communication skills for effective collaboration and stakeholder engagement
• Willingness to understand operational processes and develop relevant metrics
• Experience or familiarity with data governance, data cleaning, and normalization techniques
• Knowledge of data modeling principles, especially within logistics or supply chain contexts (bonus)
• Experience with data transformation tools like dbt (bonus)
• Proficiency in scripting languages such as Python and familiarity with version control systems like Git (bonus)
• Experience with cloud platforms such as GCP or AWS (bonus)

Responsibilities

• Design, develop, and maintain dashboards and data models to support operational and strategic decision-making
• Collaborate with cross-functional teams to gather requirements and translate them into technical solutions
• Identify, source, and integrate new data to enhance existing analytics capabilities
• Partner with product and engineering teams to build reliable data pipelines and seamless data ingestion processes
• Implement data governance practices to ensure data quality, security, and consistency
• Maintain documentation of KPI definitions, data sources, and data standards across the organization
• Regularly review and update dashboards to minimize conflicting information and improve usability
• Conduct ad-hoc analysis to optimize operational efficiency, improve revenue retention, and support strategic initiatives
• Monitor data platforms for bugs, anomalies, or quality issues, and troubleshoot as needed
• Perform data cleaning, normalization, and validation to ensure data integrity and reliability

Benefits

• Competitive base salary within the range of 70k-80k
• Hybrid work environment based in Downtown Toronto
• Comprehensive health, dental, and vision insurance plans for employees and their families
• Opportunities for professional growth and development within a rapidly expanding company
• Inclusive and diverse workplace culture that values authenticity and collaboration
• Participation in innovative projects focused on sustainability and technological advancements
• Flexible work arrangements to support work-life balance

Equal Opportunity
GoBolt is an equal-opportunity employer committed to fostering a diverse and inclusive workforce. We value and respect individual differences and are dedicated to providing equal employment opportunities regardless of race, gender, age, disability, or background. We support candidates throughout the recruitment process and are happy to accommodate any special needs or requests related to injury, illness, or disability.