Data Analyst Jobs in Burlington

Benefits:

Key Responsibilities:

• Responsible for accurate collection, analysis, and dissemination of transit data across GMT's service areas and operational units
• Identify and refine performance metrics and tools to better evaluate data management effectiveness via the GMT Performance Dashboard and other reports
• + 9 more...

Benefits:

Key Responsibilities:

• The Data Scientist will be responsible for managing, understanding and analyzing in-house and customer data – including text mining, developing predictive systems, risk scoring, creating efficient algorithms, data quality improvement and other related activities
• This individual will work closely with the TRSS Analysts to drive, identify, evaluate, design and implement statistical analyses of gathered open source, proprietary, and customer data to create analytic metrics and tools to support TRSS analysts, customers and existing product offerings
• + 29 more...

Benefits:

Key Responsibilities:

• As a Data Analyst on Customer Success team, you will provide expert knowledge in analyzing, organizing and developing data requirements that can come either from Connection Point clients/projects or from internal Connection Point partners and develop relevant data scripts per requirements
• Oversee and manage the day-to-day operations and the work quality, quantity and tasks of the Data Analyst and the Data Technician and provide "best practices" and data solutions to meet the data needs of the Project
• + 39 more...

Key Responsibilities:

• Manage and query database systems using SQL and MongoDB
• Develop impactful reports and dashboards using Power BI and Tableau
• + 2 more...

Key Responsibilities:

• The Senior People Data Analyst will play a pivotal role in leveraging data to provide actionable insights that inform and enhance people strategies across the organisation
• This role involves analysing workforce data, creating predictive models, and generating reports that support decision-making in areas such as talent acquisition, employee engagement, retention, and workforce planning
• + 33 more...

Benefits:

Key Responsibilities:

• You will be responsible for implementing strategies to improve the quality of data used at Maximus over the full data lifecycle
• The role has three main parts: Catalog, Analyse & Report, and Engage
• + 24 more...

Benefits:

Key Responsibilities:

• The Lead Data Engineer reports to the Senior Manager of Analytics Technology and provides both expert guidance and hands-on development of the enterprise data warehouse, Salesforce CRMA platform, BI delivery, and other related tasks
• The lead is heavily focused on individual contribution in hands-on development, but also provides leadership via assisting on the development of technical architecture, adherence to naming conventions, change control, best practices, DevOps, QA/QC, and other technical topics as well as mentoring more junior team members
• + 19 more...