Data Analyst, Embedded Systems

Oakville, ON, Canada

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Geotab Inc.
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Posted 1 week ago

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 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, Twitter or Facebook.
Who you are:
We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Data Analyst, Embedded Systems who will join our Automotive Engineering Department, and will work with data analysts and firmware engineers to drive insights and values from massive amounts of vehicle data. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you’ll do: 
You will be interacting with our  data, including clean data, analyze data, visualize data, and provide insights and reports on a daily basis. This role will work closely with the firmware team and gain domain-specific knowledge of GO telematics system and firmware development. The ultimate goal for this role will be helping firmware engineers to monitor various product related issues, detect anomalies, send notifications, and keep improving the quality of the firmware in the long run. Also, you will partner with other departments such as Data and Analytics, Support and Solution Engineering to achieve these objectives.  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. Geotab Data Scientists and Analysts share the common passion for utilizing big data to find simple solutions for complex problems and to drive business decisions. We leverage the Google Cloud Platform (GCP) as our big-data environment, and most of our development work happens in Python and SQL. 

How you’ll make an impact:

  • Interact with Geotab’s BigData Infrastructure on Google BigQuery using SQL and develop Jupyter notebooks using Python.
  • Work with our firmware engineers and other stakeholders to identify the firmware issues and implement visualizations and reports using the data in various formats.
  • Process, clean and verify the integrity of the data that was collected by our product, and set up necessary monitors and alerts.
  • Leverage big data tools  and assist firmware engineers with troubleshooting and providing meaningful insights.
  • Mine messy data from vehicles and build accurate and useful datasets in BigQuery to meet different requirements.
  • Develop SQL queries to detect anomaly behaviours from our GO devices and vehicles.
  • Make recommendations for new metrics, techniques, and strategies to improve the reliability and quality of Geotab device and firmware.

What you’ll bring to this role:

  • Post-Secondary Degree specialization in Computer Science, Math, Engineering, Science or any other related field.
  • Solid technical background with understanding and/or hands-on experience in large data environments and data analytics.
  • Familiar with and have experience in data warehousing  and data ETL processes.
  • 2+ years’ experience using Jupyter Notebook, Python and data analytics packages, such as Pandas, Numpy, Matplotlib etc.
  • 2+ years’ experience using SQL and being able to manipulate large amounts of data in DBMS or data warehouse (experience with Google BigQuery preferred).
  • 2+ years’ experience with data visualization in python and being able to draw some insights by given unknown data.
  • Experience with developing containerized app using docker, and writing bash script on Linux systems is a plus.
  • Experience working with cloud products such as Google Cloud Platform is nice to have.
  • Familiar with Version Control System such as git and Agile Project Management platform such as Jira.
  • Being inquisitive, results-oriented, problem-solving, and paying attention to details is crucial.
  • Highly organized and able to manage multiple tasks and projects simultaneously.
  • A keen interest to learn new technologies and utilize them into our Big Data Environment.
  • A strong team-player with the ability to engage with people within the department or outside the department.
  • Entrepreneurial mindset and comfortable in a flat organization.
Why job seekers choose Geotab:
Work from home and flex work arrangementsBaby bonusHome office reimbursement programOnline learning and networking opportunitiesElectric vehicle purchase incentive programCompetitive medical and dental benefits (full-time employees only)Retirement savings program (full-time employees only)

How we work:
At Geotab, we understand that the world is always changing and that we need to change with it. Geotab has adopted a hybrid model for working, including a flexible work from home program, with the opportunity to work in our safe, clean offices. When working from home, you are required to have a reliable internet connection with at least 50mb DL/10mb UL. Virtual work is supported with cloud-based applications, collaboration tools and asynchronous working. The health and safety of employees are a top priority. We encourage work-life balance and keep the Geotab culture going strong with online social events, chat rooms and gatherings. Join us and help reshape the future of technology!
We believe that ensuring diversity is fundamental to our future growth and progress and is an integral part of our business. We believe that success happens where new ideas can flourish – in an environment that is rich in diversity and a place where people from various backgrounds can work together. Geotab encourages applications from all qualified individuals.  We are committed to accommodating people with disabilities during the recruitment and assessment processes and when people are hired. We will ensure the accessibility needs of employees with disabilities are taken into account as part of performance management, career development, training and redeployment processes. If you require accommodation at any stage of the application process or want more information about our diversity and inclusion as well as accommodation policies and practices, please contact us at Click here to learn more about what happens with your personal data.
Job tags: Big Data BigQuery Data Analytics Data Warehousing Engineering ETL Linux Machine Learning Matplotlib NumPy Pandas Python Security SQL
Job region(s): North America
Job stats:  12  3  0
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