Geotab-posted 8 months ago
Full-time • Mid Level
Atlanta, GA
Professional, Scientific, and Technical Services

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.

  • Develop and maintain comprehensive knowledge of the Geotab ecosystem, serving as a Subject Matter Expert (SME) to empower end-users and partners.
  • Engage and collaborate with partners and end-users to optimize their utilization of Geotab's technology, products, and solutions.
  • Contribute to the continuous improvement of the company's offerings by providing partner and end-user feedback.
  • Create and optimize data-driven dashboards for cross-functional use.
  • Ensure partner and end-user satisfaction through prompt and accurate service.
  • Collaborate with the Geotab revenue generating teams to identify and deliver effective solutions for customer challenges.
  • Support Geotab's partner upskilling, driving them towards excellence.
  • May be involved in developing and implementing proof of concepts.
  • Stay updated with industry trends, competitor products, and market demands.
  • Keep accurate records of customer interactions, solution designs, and outcomes.
  • Deliver compelling technical presentations and demonstrations to customers.
  • Work closely with the sales team and fellow engineers throughout the sales cycle.
  • Design customized solutions or configurations using the company's products.
  • Assist with technical inquiries from potential customers.
  • Solve complex business problems by providing analytics or analytics-based consulting.
  • Maintain airflow pipelines for continual data analysis combining SQL queries and python scripts.
  • Design, maintain and deliver Big Data dashboards and tools.
  • 3 - 5 years of required previous experience in Solutions Engineering, Sales Engineering, Integration Engineering, Engineering Support, Software Development, Data Science, Technical Account Management.
  • 1 - 3 years of required previous experience using SQL (Google Big Query preferred).
  • Experience with data science tools (Python, pandas, numpy preferred).
  • Experience in a relevant technical field, such as software engineering, data analysis, or systems integration.
  • Technical knowledge and understanding of telematics, IoT, APIs, and related technologies.
  • Effective problem-solving and critical thinking abilities.
  • Strong communication and presentation skills.
  • Ability to collaborate effectively with cross-functional teams.
  • A customer-focused mindset.
  • Time management and organizational skills.
  • Desire to stay relevant with emerging technology.
  • Experience with Python for data analysis or automation.
  • Data Visualization Skills, particularly in dashboarding platforms such as Power BI or Tableau.
  • Experience working with large data environments.
  • Experience with data modeling and data warehouse concepts.
  • 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
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