Data Analyst

GoBolt•Toronto, ON

98d•CA$70,000 - CA$80,000•Hybrid

About The Position

We are actively hiring to fill this specific position immediately. This is a hybrid role based in Downtown Toronto. We are innovative, goal-oriented, and are always on the search for energetic and passionate people who are eager to learn and would like to have a rare opportunity to grow within one of Canada's fastest-growing companies. We offer a workplace where respect, diversity, and inclusion are the cornerstones of our culture. Our team members are encouraged to bring their authentic selves to work, contributing to our collective mission in their unique ways. GoBolt is an equal-opportunity employer that recognizes the value and importance of a diverse workforce. GoBolt is committed to providing assistance during all phases of the employment cycle, including recruiting through to the end of the employment relationship. If you require accommodation because of injury, illness, or disability during any portion of GoBolt’s recruiting process, please let us know by contacting your recruiter's point of contact, and we will do everything we can to accommodate you. At GoBolt, we value innovation and efficiency. In line with Ontario’s Working for Workers Act, we utilize AI-powered tools to assist in the screening and initial assessment of candidates for this position. This helps us focus on your skills and reduces bias. While AI helps us get started, your journey with us is guided by real people. Every final decision is made by a member of our team who values the unique perspective you bring.

Requirements

1-2 years of experience as a data analyst or in a similar role.
Strong proficiency in SQL for querying, transforming, and manipulating data
Experience with a Business Intelligence tool: You are comfortable building dashboards and reports in BI tools(Looker, Tableau, Mode, Metabase etc.). We use Looker and Metabase at GoBolt
A background in Computer Science, Analytics, or a related field.
Excellent communication skills to collaborate effectively with cross-functional teams and explain complex concepts to non-technical stakeholders.
A willingness to go deep into our operations to understand processes and metrics and help shape their development over time.

Nice To Haves

Experience with operations and logistics, having handled data related to inventory, warehousing, last-mile delivery, and transportation.
Familiarity with data modeling concepts and best practices, especially within a supply chain or logistics context.
Experience with dbt (data build tool) for modular and version-controlled data transformations
Proficiency in Python and scripting, including integrating data from external sources.
Familiarity with version control, with a working knowledge of Git for collaborative development.
Experience with cloud computing platforms like GCP or AWS

Responsibilities

Collaborate with cross-functional teams to design, develop, and maintain our analytics platform.
Identify and source new data to enrich our existing data platform.
Partner with our product and engineering teams to build data pipelines and integrations for seamless data ingestion.
Implement data governance practices to ensure data quality, consistency, and security.
Maintain our source of truth documentation for KPI definitions and data sources across the business.
Ensure core dashboards are well-maintained and groomed to reduce conflicting information, streamline data usage, and drive actionable insights.
Conduct ad-hoc analysis to support operational efficiency and revenue retention.
Monitor the data platform for bugs, anomalies, or data quality issues.
Investigate and troubleshoot issues related to data accuracy, completeness, or consistency.
Conduct data cleaning and normalization to ensure data integrity and reliability.