Data Analyst
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Job Description
Data Analyst at Cayuse responsible for collecting, processing, and analyzing data to support decision-making. Applying advanced methodologies and techniques to derive insights for organizational initiatives.
Responsibilities:
- The Data Analyst is responsible for collecting, processing, analyzing, and interpreting quantitative and qualitative data to support evidence-based decision-making and strategic initiatives for the organization.
- The incumbent applies advanced analytical methodologies and data visualization techniques to derive actionable insights from large and complex datasets.
- This position is critical in supporting program evaluation, operational performance monitoring, and effective reporting to both internal and external government stakeholders.
- This position aligns with Cayuse’s core values of Innovation, Excellence, Collaboration, Adaptability, and Integrity by fostering technical solutions that meet customer needs, promoting teamwork, and prioritizing quality in deliverables.
- Coordinate various data sources within an organization.
- Perform data profiling and discovery.
- Gather and interpret business requirements.
- Create data documentation.
- Perform data modeling and design.
- Other duties as assigned.
Requirements:
- Two (2) plus years’ experience working on data migration or data integration projects with specific experience with cleaning data, running basic reports, and maintaining existing dashboards.
- Two years (2) plus SQL experience writing queries to extract data from relational databases
- Must be able to pass a background check.
- May require additional background checks as required by projects and/or clients at any time during employment.
- Minimum Skills: Exceptional interpersonal skills with the ability to communicate in a clear, professional, and articulate manner.
- Exceptional verbal and written communication skills.
- Excellent organizational, analytical, and problem-solving skills with high-level attention to detail.
- Ability to analyze systems and procedures
- Strong multitasking skills with the ability to manage multiple design streams across concurrent work effort.
- Must be self-motivated and able to work well independently as well as on a multi-functional team.
- Ability to handle sensitive and confidential information appropriately.
- Desired Qualifications: Experience with programming languages commonly used for data analysis such as Python or R.
- Experience with data visualization tools such as Tableau, Power BI, or Looker.
- Completion of two or more full-scale data migration projects (legacy to cloud or legacy to modern ERP/CRM).
- Experience working on a development team.
- Previous experience working in an Agile/Scrum environment.
Benefits:
- Medical, Dental and Vision Insurance
- Wellness Program
- Flexible Spending Accounts (Healthcare, Dependent Care, Commuter)
- Short-Term and Long-Term Disability options
- Basic Life and AD&D Insurance (Company Provided)
- Voluntary Life and AD&D options
- 401(k) Retirement Savings Plan with matching after one year
- Paid Time Off
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