Data Analyst

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. 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 who will analyze well-defined sets of data using a variety of different tools to answer tangible business needs and find meaningful insights. This position will understand how partners and customers can directly benefit from the analysis and develop customer-facing products from these results. If you are a Data Analyst who knows how to extract meaning from and interpret data, love technology, and are keen to join an industry leader — we would love to hear from you!

What you’ll do: 
As a Data Analyst your key area of responsibility will be examining large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions. You will utilize statistical tools to interpret data sets and prepare reports that effectively communicate trends, patterns, and predictions based on relevant findings. You will need to work closely with Geotab's Data & Analytics, Finance, Production, Sales and Solutions Engineering teams. To be successful in this role you will be a self-starter with strong business analytical skills with the ability to problem solve to well-judged decisions. You are a strong team player with the ability to engage with all levels of the organization.

How you’ll make an impact:

• Examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.
• Maintain data systems and databases.
• Utilize statistical tools to interpret data sets and prepare reports that effectively communicate trends, patterns, and predictions based on relevant findings.
• Write SQL queries to find answers to complex business questions.
• Identify any data quality issues and partialities in data acquisition.
• Coordinate with the engineering team to gather incremental new data.
• Process, cleanse, and verify the integrity of data used for analysis.
• Use data mining, model building, and other analytical techniques to support internal initiatives.
• Assist the internal technical departments by providing meaningful insight using datasets.
• Work with data scientists and leverage machine learning models that have been developed against Geotab’s big data environment.

What you’ll bring to this role:

• Post-secondary Degree/Diploma specialization in Computer Science, Software Engineering, Science, Mathematics, or a related field.
• 0-5 years experience as a Data Analyst or a similar role.
• 3-5 years experience with SQL.
• 3-5 years experience with data science tools (e.g. Python, Pandas, NumPy).
• Experience working with big data and an understanding of techniques used to extract value out of very large datasets.
• Experience working closely with business analysts to arrive at data solutions.
• Experience with database design and writing queries.
• Familiarity with machine learning concepts is an asset.
• Familiarity with Scikit-learn, Tensorflow an asset.
• Strong analytical skills with the ability to problem solve to well-judged decisions.
• Strong team player with the ability to engage with all levels of the organization.
• Technical competence using software programs, including but not limited to, Google Suite for business (Sheets, Docs, Slides).
• 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. Remote 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!
Geotab encourages applications from all qualified candidates. Geotab is committed to accommodating persons with disabilities throughout the interview, selection and employment process. If you require accommodation at any stage of the application process or want more information about our accommodation policies and practices, please contact us at careers@geotab.com. Click here to learn more about what happens with your personal data.