Data Intelligence Advocate
GeotabAbout the role
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 Data Intelligence Advocate who will cultivate a culture of continual learning and advancement within the Data & Analytics department, particularly in the realms of data analytics and Generative AI. The primary objective is to conceive and execute learning initiatives that bolster the proficiency of internal teams in navigating data landscapes and driving outcomes based on the adoption of Generative AI. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you'll do:
The Data Intelligence Advocate will work craft comprehensive training modules and workshops tailored to diverse skill levels. These initiatives aim to equip all internal stakeholders with the requisite knowledge and competencies to effectively leverage data and AI technologies in their respective roles. For success in this role, reliable problem-solving skills, creativity, communication and keen insight are invaluable skills.
How you'll make an impact
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Collaborate with subject matter experts, including Data Scientists, Data Analysts and other cross functional teams, to identify training needs and gaps in data literacy and AI knowledge across the organization.
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Design, develop, facilitate and deliver targeted learning programs and courses (training sessions, workshops, and webinars) focusing on data intelligence, analytics, and Generative AI principles, tailored to different roles and levels of expertise across Geotab. With the objective of enhancing employees' data skills and understanding of AI technologies.
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Lead and enhance Geotab's Generative AI Champions Program in collaboration with Geotab’s Learning & Development team, driving internal adoption and leveraging the program's successes to position Geotab as a forefront leader in Generative AI implementation.
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Advocate for the intrinsic value of data-driven decision-making and AI innovation and enable agile adjustments to strategies in alignment with the dynamic organizational landscape.
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Monitor, evaluate, and analyze the effectiveness of data intelligence and generative AI training programs through assessments, surveys, and feedback mechanisms to use this data to continuously improve the learning experience.
What you'll bring to the role
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3-5 years of technical knowledge using SQL and Python
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Understanding of ETL tools and how data flows (hands-on experience is not required)
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Familiarity with BI tools such as PowerBI, Tableau (Superset preferred but not mandatory)
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A go-getter attitude, able to work independently
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Strong stakeholder manage
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