Data Analyst 3 (Finance and Records Dept.)

Provide department leadership with reliable data from trusted source systems that will empower and influence key decision making. Access and integrate data for reporting to establish data standards, quality and reliability.

This level of Data Analyst will work on data coming from multiple systems, will integrate both structured and unstructured data for the creation and interpretation of standardized dashboards and reporting. They must be knowledgeable and have full understanding of the data lifecycle and the data relationships between various systems that allow integration. This level will also perform ad hoc, deep dive analytical analysis, and interpretation.

Understand the Data

• Defining what the data is, where it is coming from, how it will be captured, and how it will be consumed

Data Quality Assessment

• Validation of data quality including sources, reliability, completeness, validity, and uniqueness

Organize the Data

• Address accessibility, usability, data modeling & structuring, aggregation, field definition & use, statistical validity, data warehouse creation

Configuring Data for Accessing

• Channeling the data to where it is needed, predictive/statistical modeling, query building, data sources, quality assurance

Reporting

• Using business requirements to tell the story, developing dashboards & reports that are actionable and measurable, quality assurance

Security & User Acceptance

• Audience access, viewing including how the data will be received, communications, instruction on data use

Outcomes/Insights

• Data that enables business leaders to make informed decisions

Education and Work Experience:

BS/BA Degree in mathematics, statistics, computer science, or a related field with minimum 4 years performing multiple system data validation, quality assessments, and configuration of reports and standardized dashboards

Demonstrated Skills & Abilities:

• Strong knowledge and skill in Business Objects and Tableau
• Writing of queries, and reports, using R and SQL
• Seeing and understanding the story data tells
• Presentation and data storytelling
• Works with minimal to moderate oversight and meets established deadlines
• Delivers defined projects with regular oversight
• Problem solving, debugging/troubleshooting and the designing and implementation of solutions to complex technical issues
• Thrives in both a team environment and as an individual contributor

Specific Certifications, Licenses:

Prefer data management, data quality, or data visualization certification