Senior Data Analyst, Sustainability

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 Inside Geotab 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, Sustainability who will perform data analytics in order to support Geotab’s thought leadership related to electric vehicles and fleet. 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, Sustainability will use strong problem-solving skills with statistical analysis in order to conduct queries, track reporting metrics and analyze data to support Geotab’s sustainability marketing and thought leadership goals. This role will be key in uncovering data-backed insights and proof points for marketing campaigns that help educate internal and external stakeholders on the topic of sustainable fleet and electric vehicles.

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, Num Py) 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.
Familiarity with machine learning concepts is an asset.
Strong analytical skills…