Data Analyst

Geotab

Geotab is a prominent global leader in IoT and connected transportation, known for fostering a supportive work culture. They connect vehicles to the internet and utilize data analytics and machine learning to aid businesses in fleet management, safety enhancement, and adhering to regulations. Geotab is expanding and seeks individuals passionate about innovation and impact.

In this role you can expect to have the responsibilities:

• Identify data visualization and reporting requirements.
• Develop SQL queries using Google Cloud Platform.
• Analyze vehicle data using multiple programming languages.
• Assist with device troubleshooting and provide insights from BigQuery data.
• Design dashboards, reports, and metrics for Geotab device data.
• Support the Embedded Team from a big data perspective.
• Collaborate with Data and Analytics teams to align with best practices.

This role comes with the following benefits:

• Flexible working arrangements.
• Home office reimbursement program.
• Parental leave top-up program.
• Electric vehicle purchase incentive.
• Comprehensive medical and dental benefits.
• Retirement savings program.

This role requires you to have:

• Degree or diploma in Computer Science, Engineering, Mathematics, or related field.
• 3-5 years experience in data analysis and SQL development.
• Experience in creating dashboards and data visualizations.
• Good project management and multitasking abilities.
• Strong analytical and problem-solving skills.
• Excellent verbal and written communication skills.

You would benefit from having:

• Experience with Google BigQuery.
• Familiarity with data science tools like Python and NumPy.
• Knowledge of machine learning concepts.
• Experience with database design.

Geotab is committed to diversity and inclusion, providing accommodations for individuals with disabilities. They emphasize work-life balance and support hybrid working models with robust virtual collaboration tools. Diversity is integral to their growth, fostering an environment of collaboration among diverse backgrounds.