Senior Data Analyst

Krakow, Poland - Poland

āš ļø We'll shut down after Aug 1st - try foošŸ¦ for all jobs in tech āš ļø

Geotab

Our GPS fleet tracking & management system equips thousands of fleets worldwide with technology to automate, track and manage a truly optimized operation.

View all jobs at Geotab

Apply now Apply later

Who we are: Geotab Ā® is a global leader in IoT and connected transportation and certified ā€œGreat Place to Workā„¢.ā€ 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. Ā  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 Ā®, 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. Ā  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 ourĀ blogĀ and follow us @InsideGeotab onĀ Instagram. Join ourĀ talent networkĀ 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 who will analyze well-defined sets of data to answer tangible business needs, find meaningful insights, and provide data for strategic decision-making. If you love technology and are keen to join an industry leader — we would love to hear from you!

What you'll do:

As a Senior Data Analyst, your key area of responsibility will be analyzing well-defined sets of data using a variety of different tools to find meaningful insights and develop customer-facing products from these results. You will also 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. You will need to work closely with Data professionals across multiple teams.

To be successful in this role, you will be key to providing data upon which strategic decisions are made. In addition, the successful candidate will have a strong understanding of how partners and customers can directly benefit from the analysis.

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.

What you'll bring to the role:
  • 5-8 years working as a Data Analyst or a similar role.

  • 5-8 years of experience with SQL.

  • Post secondary degree/diploma in Computer Science, Software Engineering, Science, Mathematics, or a related field.

  • 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.

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. Ā  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. Ā  Why job seekers choose Geotab:

Flex working arrangements
Home office reimbursement program
Electric vehicle purchase incentive program
Medical benefits offered to you and family members
Online learning and networking opportunitiesĀ 
Subsidized fitness membership
Co-pay tuition reimbursement

How we work: At Geotab, we have adopted aĀ flexible hybridĀ 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! Ā  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, ā€œGeotabā€), you acknowledge Geotab’s collection, use and disclosure of your personal data in accordance with our Privacy Policy. Click hereĀ to learn more about what happens with your personal data.
Apply now Apply later

* Salary range is an estimate based on our AI, ML, Data Science Salary Index šŸ’°

Job stats:  0  0  0
Category: Analyst Jobs

Tags: Airflow Big Data Computer Science Data Analytics Data Mining Data pipelines Data quality Engineering GCP Google Cloud Machine Learning Mathematics ML models Pipelines Privacy Scikit-learn Security SQL Statistics TensorFlow

Perks/benefits: Career development Fitness / gym Flex hours Health care Team events

Region: Europe
Country: Poland

More jobs like this