Who we are

Geotab ® is a global leader in IoT and connected transportation and certified “Great Place to Work™.” We are a company of diverse and talented individuals who work together to help businesses grow and succeed, and increase the safety and sustainability of our communities.   Geotab is advancing security, connecting commercial vehicles to the internet and providing web-based analytics to help customers better manage their fleets. Geotab’s open platform and Geotab Marketplace ®, offering hundreds of third-party solution options, allows both small and large businesses to automate operations by integrating vehicle data with their other data assets. Processing billions of data points a day, Geotab leverages data analytics and machine learning to improve productivity, optimize fleets through the reduction of fuel consumption, enhance driver safety and achieve strong compliance to regulatory changes.   Our team is growing and we’re looking for people who follow their passion, think differently and want to make an impact. Ours is a fast paced, ever changing environment. Geotabbers accept that challenge and are willing to take on new tasks and activities - ones that may not always be described in the initial job description. Join us for a fulfilling career with opportunities to innovate, great benefits, and our fun and inclusive work culture. Reach your full potential with Geotab. To see what it’s like to be a Geotabber, check out our blog and follow us @InsideGeotab on Instagram. Join our talent network to learn more about job opportunities and company news.

Who you are:

We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior Revenue Operations Business Analyst who will spearhead the design, building, and optimization of key dashboards, datasets, and reporting tools. If you love technology, and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Revenue Operations Business Analyst your key area of responsibility will be to analyze both defined and undefined data sets using a variety of tools to address tangible business needs and uncover meaningful insights. This role will understand how partners and customers can directly benefit from the analysis and develop customer-facing products from these results. This position also plays a critical role in driving data strategy and governance across the organization. You will need to work closely with with data professionals within the Data & Analytics Teams and other Internal Data Engineers/subject matter experts to create key data summaries to be leveraged across the organization. To be successful in this role you will be a self-starter with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts. In addition, the successful candidate will have strong analytical and project management skills with an ability to identify needs, develop effective solutions, and manage projects through completion. The successful candidate will also be able to manage multiple timelines and contrasting priorities to ensure timely results.

How you'll make an impact

• Lead the development of key sales reports and dashboards from initiation to completion, ensuring timely delivery.
• Analyze large data sets to create summarized reporting sources to be leveraged across the company.
• Leverage data sets to identify trends, develop charts, and create visual presentations to help business units make more strategic decisions.
• Utilize statistical tools to interpret data sets and prepare reports and technical papers that effectively communicate trends, patterns, and predictions based on relevant findings.
• Write complex SQL queries to find answers to intricate business questions.
• Build and optimize reporting/data dashboards and reports as needed.
• Identify and resolve data quality issues and partialities in data acquisition.
• Coordinate with engineering teams and other internal resources to ensure consistent data pipelines for new and existing data.
• Process, cleanse, and verify the integrity of data used for analysis.
• Employ data mining, model building, and other analytical techniques to develop customer segmentation.
• Provide guidance and mentorship both within the immediate team and across different business units/departments.
• Maintain comprehensive a