Senior Data Analyst
Oakville, Ontario - Canada
Geotab
Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.We are always looking for amazing talent who can contribute to our growth and deliver results! Geotab is seeking a Senior 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. — we would love to hear from you!
What you'll do:The Senior Data Analyst will understand how partners and customers can directly benefit from the analysis and develop customer-facing products from these results. This position works closely with Data professionals across multiple teams and may be asked to conduct ongoing data validation studies on aggregate Geotab data, create/maintain data pipelines, or use statistical tools to generate data on trends, patterns, and predictions. In general, this role is key to providing data upon which strategic decisions are made.
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.
- Utilize statistical tools to interpret data sets and prepare reports and technical papers that effectively communicate trends, patterns, and predictions based on relevant findings.
- Create, and maintain well defined data products and data pipelines.
- 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 achieve objectives.
- Work with data scientists and leverage machine learning models that have been developed against Geotab’s big data environment.
- Post-secondary Degree/Diploma with specialization in Computer Science, Software Engineering, Science, Mathematics, or a related field.
- 5 - 8 years of previous experience in Data Analyst or a similar role, SQL and working with with data science tools that may include 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.
- Experience working closely with business analysts to arrive at data solutions.
- Experience with database design and writing queries.
- Experience with Google Cloud Platform, Airflow. Scikit-learn, Tensorflow may be required
- Familiarity with machine learning concepts is an asset.
- Strong analytical skills with the ability to problem solve and understand complex technical concepts.
- Strategic mindset, with a keen sense of priorities, along with an ability to pivot as the landscape changes.
- Strong critical thinking abilities, with experience leveraging data to make well-informed recommendations and decisions.
- Strong written and verbal communication skills.
- 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.
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 hybrid 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 careers@geotab.com. By submitting a job application to Geotab Inc. or its affiliates and subsidiaries (collectively, “Geotab”), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click here to learn more about what happens with your personal data.* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰
Tags: Airflow Big Data Computer Science Data Analytics Data Mining Data pipelines Data quality Engineering GCP Google Cloud Machine Learning Mathematics ML models NumPy Pandas Pipelines Power BI Privacy Python Redash Scikit-learn Security SQL Statistics Superset Tableau TensorFlow
Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Team events
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