Data Analyst

Oakville, ON, Canada

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Geotab Inc.
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Posted 1 month ago

Who is Geotab:
Geotab, a global leader in IoT and connected transportation, is one of the fastest-growing technology companies in North America and a certified “Great Place to Work.” Each day, Geotab processes billions of data points from over 2 million connected vehicles, extracting actionable insights to help empower businesses to better manage their fleets. Recognized as the world’s #1 commercial telematics provider, Geotab’s solutions are used by more than 40,000 customers in over 130 countries around the globe. Geotab understands that telematics is critical to helping create safer and more sustainable drivers, businesses and communities and actively works to help businesses improve driver behavior, reduce greenhouse gas emissions and create safer roads for all. Global demand for telematics is increasing and Geotab is leading the way. Are you ready to join us? To see what it’s like to be a Geotabber, follow us @InsideGeotab on Instagram, Twitter or Facebook today!
Who we are looking for: 
We are looking for Data Analysts who can help us discover value out of our rich and large datasets. Our ideal team member will have the mathematical and statistical expertise you’d expect, but a natural curiosity and creative mind that’s not so easy to find. As you mine, interpret and clean our data, we will rely on you to ask questions, connect the dots and uncover opportunities that lie hidden within, all with the ultimate goal of realizing the data’s full potential. You will join a team of data specialists, but will “slice and dice” data using your own methods, creating new visions for the future. If you are a Data Analyst who knows how to extract meaning from and interpret data - we would like to hear from you!  
What are the details of this position: 
As a Data Analyst you will be a crucial part of producing innovative analytics from Geotab’s big data environment. Geotab’s systems process over 40 billion data records per day from over 2 million vehicles in 100+ countries across the globe. We believe that there is collective value in the massive amount of data arising from all of our sensors across the globe. And most importantly, we believe this data can be used to improve safety, infrastructure, and productivity for our customers. You will work with our team of data scientists and engineers who have curated our data repository and have created a series of near real-time and historical datasets categorized under Weather, Urban Infrastructure and Location Analytics. You will produce insights for our partners and customers to directly benefit from the analysis and develop customer-facing products from these results. You will work closely with Data Scientists, Data Engineers, Professional Services, Data Privacy & Governance, firmware  as well as all the other internal departments such as Software Development and Solutions Engineering to achieve these objectives.
Our Technology Stack : 
We leverage the Google Cloud Platform (GCP) as our big-data environment. Most of our development work happens in Python, leveraging various big data and data science tools in GCP (e.g. Dataflow) as well as from the open-source community (e.g. JupyterLab). 
SQLPython Modules :  numpy, scipy, theano, keras, pytorch, pandas, matplotlib, xgboost,  scikit-learn, nltk, seaborn, networkx, osmnxBig Data Tools : JupyterLab, TensorFlow, Apache Spark , Beam, Dataflow, AirflowGoogle BigQuery, Kafka, Kubernetes

Duties and Tasks/Essential Functions:

  • Interact with Geotab’s Big Data Infrastructure on Google Bigquery using Python and SQL
  • Process, cleanse, and verify the integrity of data used for analysis
  • Examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions
  • 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
  • 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.

Experience/Skills Required:

  • Graduate or Postgraduate Degree in Computer Science, Electrical, or Software Engineering, Mathematics, Statistics or a related field
  • 3-5 years experience as a Data Analyst with proven proficiency in SQL is required
  • Exposure to data science tools such as Python, Pandas and NumPy is nice to have
  • Experience working with big data and an understanding of techniques used to extract value out of very large datasets is essential
  • Experience with database design and writing queries is key to be successful in this role
  • Familiarity with machine learning concepts and tools such as Scikit-learn and Tensorflow is an asset
  • Experience working with Google Compute Engine  and Google Bigquery is nice to have
  • A keen interest to make a positive impact in the community that we live in by  developing data driven smart city insights and urban analytics
What makes our staff passionate about Geotab?
Table Tennis at the office - bring your own bat!Great accommodation (brand new office building, height-adjustable desks)Light breakfast served dailyHot lunches or fresh sandwiches served every FridayGeotab-sponsored sports teams and social eventsFull medical benefits and 4% company matching RSP (full-time employees only)

Our Core Values:
Geotab is shaping the future of telematics. Using leading technology, we embrace change and challenge the status quo. To stay ahead of the curve, we keep Geotabbers energized with data bootcamps, course subsidies, Friday lunches, and more. We believe collaboration leads to innovation; our teams stretch across floors, cities and continents. All employees, from the CEO to the summer students, maintain an open-door policy. Whether we’re fine-tuning our products, or boosting our office culture, we’re building a foundation for long-term success. To us, this means safer roads, more efficient fleets and a team of dynamic Geotabbers!
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 (416) - 434 4309.
Job tags: Big Data Data Mining Engineering Kafka Keras Kubernetes Machine Learning NLTK NumPy Pandas Python PyTorch Scikit-Learn SciPy Seaborn Spark SQL TensorFlow Theano XGBoost