Senior Data Analyst
Oakville, Ontario - Canada
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 develop various internal web applications, creating helper tables in the Google BigQuery, setting up Superset dashboards to support necessary monitoring tasks, conducting ad-hoc data mining analyses to identify root causes, determining the scope of issues, and addressing other data-related queries or requests.. 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 analyzes 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. Additionally, they will also develop various internal web applications utilizing Django, HTML, and CSS (including Tailwind CSS).
How you'll make an impact-
Design and develop internal web applications utilizing Django/Python, HTML, and CSS (including Tailwind CSS) and manage them using Docker and host them internally
-
Examine large data sets to identify trends, develop charts, and create visual presentations to help businesses make more strategic decisions.
-
Take the ownership of tasks/projects,design the solution and communicate results with stakeholders to get alignment
-
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.
-
Mentor Data Analyst and interns
-
1-3 years experience designing and developing internal web applications utilizing Django, HTML, and CSS (including Tailwind CSS) and manage them using Docker and host them internally
-
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).
-
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.
-
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).
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 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: Big Data BigQuery Data Analytics Data Mining Data quality Django Docker Engineering Machine Learning ML models NumPy Pandas Privacy Python Scikit-learn Security SQL Statistics Superset TensorFlow
Perks/benefits: Career development Flex hours Health care Medical leave Parental leave Team events
More jobs like this
Explore more career opportunities
Find even more open roles below ordered by popularity of job title or skills/products/technologies used.