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Senior Data Analyst, ITS

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 Data Analyst, ITS who will create compelling and original content (blogs, white papers, articles, presentations, etc.) for Geotab’s Intelligent Transportations Systems (ITS) division. If you love technology, and are keen to join an industry leader — we would love to hear from you!
What you’ll do: 
The Senior Data Analyst, ITS uncover trends, patterns, and insights that will focus people’s attention on the key value of Geotab ITS data by demonstrating how it can be leveraged to answer key questions coming from transportation use cases, real-world events, market insights and strategic priorities. A typical data insight will entail leveraging ITS APIs, models and the broader Geotab big data assets through applied data analysis, statistical modeling and visualization using SQL, python and modeling approaches. A particular focus on answering and visualizing what, when, why and how are foundational to all ITS data insights. This person will be a crucial component to drive Geotab’s thought leadership related to smart cities and intelligent transportation.
To be successful in this role you will be a self-starter and problem solver with strong written and verbal communication skills, and have the ability to quickly understand complex, technical concepts.

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.
  • Apply statistical methods toward data validation of Geotab aggregate traffic-related data against third-party data sources
  • 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 SQL queries to find answers to complex business questions.
  • Identify any data quality issues and partialities in data acquisition.
  • Coordinate with engineering teams 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 develop customer segmentation.
  • 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.
  • 5-8 years experience as a Data Analyst or a similar role.
  • 5-8 years experience with SQL.
  • 5-8 years experience with data science tools (e.g. Python, Pandas, NumPy) as well as BI tools such as Superset/Redash/PowerBI or tableau.
  • Experience working with big data and an understanding of techniques used to extract value out of very large datasets.
  • Hands-on experience driving and delivering data insights via blogs, white papers, articles and/or presentations, either published or at a broader organization level, is essential.
  • Familiarity with machine learning concepts is an asset.
  • Strong analytical skills with the ability to problem solve well-judged decisions.
  • Strategic mindset, with a keen sense of priorities, along with an ability to pivot as the landscape changes.
  • 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).
  • Strong communications and creativity skills with the ability to link data insights to marketing initiatives and use data to tell a story.
  • Knowledge and experience with smart cities, transportation analytics.
  • Proven experience in data cleaning, with the ability to identify, analyze, and interpret inconsistencies or inaccuracies in data.
  • Strong critical thinking abilities, with experience leveraging data to make well-informed recommendations and decisions.
If you got this far, we hope you’re feeling excited about this role! Even if you don’t feel you meet every single requirement, we still encourage you to apply.
Please note: Geotab does not accept agency resumes and is not responsible for any fees related to unsolicited resumes. Please do not forward resumes to Geotab employees.
Why job seekers choose Geotab:
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
*The above are offered to full-time permanent employees only
How we work:
At Geotab, we have adopted a flexible first working model in that we have systems, functions, programs and policies in place to support both in-person and virtual work. However, you are welcomed and encouraged to come into our beautiful, safe, clean offices as often as you like. 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 [email protected]. Click here to learn more about what happens with your personal data.

To apply, please visit the following URL:https://jobs.lever.co/geotab/47fa26fd-958a-47db-abaf-8213709d20ff/apply?lever-source=Job%20postings%20feed→

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