Senior Team Lead, Data Analytics
Krakow, Poland - Poland
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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 Team Lead, Data Analytics who will be leading a technical team of data analysts and/or business analysts responsible for deriving meaningful insights from data and building analytical models to support organization's data-driven decision making and strategic goals. If you love technology, and are keen to join an industry leader ā we would love to hear from you!
What you'll do:As a Senior Team Lead, Data Analytics your key area of responsibility will be managing team expectations, working arrangements and priorities and overseeing the collection, analysis, and interpretation of data to support business objectives. You will need to work closely with stakeholders throughout Geotab to identify opportunities for leveraging company data to drive business solutions as well as to align data analytics initiatives with organizational goals.
To be successful in this role you will possess the ability to communicate insights effectively to support the organization's objectives. In addition, the successful candidate will have a combination of technical expertise and leadership skills.
How you'll make an impact:-
Manage team expectations with regards to task assignments, work arrangements and priorities.
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Oversee the collection, analysis, and interpretation of data to support business objectives.
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Collaborate with stakeholders throughout Geotab to identify opportunities for leveraging company data to drive business solutions as well as to align data analytics initiatives with organizational goals.
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Ensure that key findings are communicated effectively to drive actionable insights.
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Develop and implement data analysis processes, strategies and roadmap to ensure data quality and consistency.
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Identify opportunities for innovation and improvements in data analysis techniques.
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Lead the Data Community of Practice to advance data maturity and data literacy across all functional areas in the company.
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Ensure all functional areas have a dedicated data steward responsible for the ownership and risk of their data products.
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Evaluate and select appropriate data analytics tools, platforms, and technologies.
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Coordinate with product managers and technical project managers across the company to maintain a Data Product roadmap aligned with business objectives.
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Ensure technical expertise is available within the team to provide expert project leadership and guidance to team members as needed.
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Oversee the activities and performance of direct reports:
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Foster a collaborative and inclusive team environment.
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Provide direction, coaching, and mentorship to the team.
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Engage in the development of the team by setting clear expectations, coaching, providing feedback, identifying areas of growth, and training opportunities.
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Collaborate and support employees during the performance management process, meeting KPAs, and career development planning.
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Bachelors in Computer Science, Data Science, Mathematics, or a related field.
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5-8 years experience in Business Analyst, Data Analyst or similar role.
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5-8 years experience working within a technical or engineering organization, with knowledge of the high-technology industry is an asset.
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3-5 years leadership experience in a team-oriented workplace.
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3-5 years success with coaching and development of employees.
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Strong proficiency in data analysis tools, programming languages (Python and SQL) and developing business intelligence visualizations.
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Knowledge of data management and visualization techniques.
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Strong project management skills; able to identify needs, develop effective solutions, and manage projects through to completion.
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Strong interpersonal relationship building skills.
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Strong analytical skills with the ability to problem-solve to well-judged decisions.
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Entrepreneurial mindset and comfortable in a flat organization.
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
*The above are offered to full-time permanent employees only.
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 ā 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, āGeotabā), you acknowledge Geotabās 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.* Salary range is an estimate based on our AI, ML, Data Science Salary Index š°
Tags: Business Intelligence Computer Science Data analysis Data Analytics Data management Data quality Engineering Machine Learning Mathematics Privacy Python Security SQL
Perks/benefits: Career development Fitness / gym Flex hours Health care Startup environment Team events
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