We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Revenue Operations Data Analyst who will analyze well-defined sets of data using a variety of different tools to answer tangible business needs and find meaningful insights. The projects will vary in scope, complexity, and affected business area. If you love technology, and are keen to join an industry leader — we would love to hear from you!
As a Revenue Operations Data Analyst, your key area of responsibility will be maintaining data systems and utilizing statistical tools to interpret data sets, ensuring data integrity, and providing actionable reporting to sales, marketing, and customer support stakeholders. You will need to work closely with Geotab’s Data professionals across multiple departments, including Data Engineering and Data Science teams.
To be successful in this role, you will be a strong team player with an entrepreneurial mindset who is comfortable in a flat organization and able to engage with all levels of the company. In addition, the successful candidate will have strong analytical and problem-solving skills, with the ability to leverage AI tools like Gemini for data processing and analysis tasks. This role requires occasional business travel to the United States, estimated at less than 10% of the time. The successful candidate must be eligible to perform short-term business visitor activities (e.g., attending meetings or training) in the U.S. when required.
Develop and maintain key performance indicators (KPIs) and dashboards for sales, marketing, and customer support teams using BI tools such as Superset.
Write SQL queries to find answers to complex business questions and coordinate with data engineering teams to gather incremental new data.
Process, cleanse, and verify the integrity of data used for analysis while identifying data quality issues and partialities in data acquisition.
Utilize statistical tools, data mining, and model building to interpret data sets and prepare reports that effectively communicate trends, patterns, and predictions.
Work with data scientists to leverage machine learning models developed against the company's big data environment.
Consistently demonstrate Core Values in all daily work and interactions and contribute to the maintenance of the data repository.
Post-secondary Degree/Diploma specialization in Computer Science, Software Engineering, Science, Mathematics, or a related field.
Advanced proficiency in SQL and experience with database design and writing complex queries.
Direct experience working with CRM data, specifically Salesforce, and big data techniques for extracting value from large datasets.
Strong experience with BI tools such as Superset, Power BI, or Tableau.
Familiarity with Google Cloud Platform, Airflow, and machine learning concepts.
Experience with data science tools (e.g., Python, Pandas, NumPy) is highly preferred.
Flex working arrangements
Home office reimbursement program
Baby bonus & parental leave top up program
Online learning and networking opportunities
Electric vehicle purchase incentive program
Competitive medical and dental benefits
Retirement savings program
*The above are offered to full-time permanent employees only
The annual base salary for this position is the expected annual salary for this role, and may be subject to change. Geotab offers various perks and benefits and other compensation components that an individual may be eligible for. The actual base salary for this position depends on a variety of factors such as but not limited to skills, qualifications, education and overall experience, including the location the applicant lives while performing the job. This also includes equity with other team members and alignment with local market data. All offers of employment are contingent upon proof of eligibility to work and the individual's ability to pass a background check.
Geotab is a leading provider of GPS fleet tracking and management solutions, leveraging data analytics and machine learning to optimize fleet performance, enhance driver safety, and ensure regulatory compliance worldwide.
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Operations Data Analyst Q&A's