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Data Analyst
3 months ago
Data Analyst I or I
Required: College degree in Computer Science, Engineering, Information Technology, or a Bachelors in a non-technical degree with 6+ years of experience with data analytics preferred.
Experience working with business intelligence technology (e.g. Power BI or Tableau) to build dashboards that provide insight into business needs. PowerBI will be used and is preferred.
Experience with data analysis and visualization
Ability to quickly learn and understand new software and applications
Possesses a customer-service mindset and exceptional interpersonal skills
Self-motivated with a track record of successfully working multiple projects
Collaborates effectively when working with a team with diverse backgrounds
Effective written and verbal communicator
Strong Microsoft Office experience specifically in Excel. Experience with the Microsoft Power Platform preferred.
An operational knowledge of SharePoint
Demonstrated ability to think proactively, identify future challenges, and implement solutions
Adept at aligning technology solutions with business needs for strategic improvements.
Able to maintain confidentiality while dealing with sensitive data
Ability to quickly absorb new information and learn new technology platforms
Working knowledge of a Learning Management System (LMS), experience with LearningSOurce is preferred.
Strong organizational skills
Must be detail oriented
Analytical and problem-solving expert, who is also a quick learner and effective applicator of new technologies.
Capable of managing multiple tasks and priorities while maintaining quality
Fosters cooperative relationships and teamwork, dedicated to customer service excellence, and adept at communicating complex technical issues in understandable business terms.
Ability to optimize processes for data handling, validation, mining, and visualization to meet business objectives.
Need to: Create and maintain analytics infrastructure
Create data processes
Have extensive knowledge of the databases and the best engineering practices, including: Handling and logging errors
Monitoring the system
Building pipelines that can tolerate human fault
Addressing constant integration
Knowing how to administer the database
Maintaining data cleaning
Works within a team to collect and analyze a variety of data. Tasks include: Receive data from relevant resources and tools, providing data reports for consumers
Provide data reports for management
Communicate and collaborate with other team members
Create and maintain databases, data systems, and reports
Collect large sets of data, clean, and validating the data to ensure it is accurate and complete
Analyze, interpret, and visualize data and trends
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