Senior Data Analyst
General Duties
Provides technical support to data collection and analysis functions of the department
Helps design data collection plans to measure program outcomes and effectiveness
Retrieves, processes and makes accessible data from various sources for internal and external users
Links, converts or saves data into database, spreadsheet or graphic format
Performs statistical and qualitative analysis on data gathered from operational and financial data systems to optimize decision-making
Oversees and conducts program evaluation
Creates program and organizational reports, including data visualizations and written analysis
Fosters a culture of empowerment and ownership to resolve issues and improve operations
Responds to regular data requests in a professional and timely manner
Performs related work
Minimum Requirements
Master's degree
Business Administration
Computer Science
Data Analytics
Economics
Engineering Technology
Information Systems
Information Technology
Mathematics
Public Administration
Statistics
Urban Planning
Related field
WORK EXPERIENCE
Two years of program evaluation or data analysis experience
EQUIVALENCY
An equivalent combination of education and experience may be substituted
PHYSICAL REQUIREMENTS AND WORKING CONDITIONS
Meets regular and punctual attendance standards and any special needs of the position as determined by management, including mandatory overtime and performing related work
Supplemental Information
EOE
Benefits
Full Time Regular
· Medical
· Dental
· Vision
· Group Term Life
· Supplemental Life
· Accidental Death & Dismemberment
· Sick Leave
· Vacation
· Holiday Pay
· Bereavement Leave
· Kentucky Public Pensions Authority
· 457 Deferred Comp
· Voluntary Lifestyle Benefits
· Tuition Assistance
· Qualified Adult Benefits
· Childcare Assistance
· Free TARC Use
· Paid Parental Leave
Senior Data Analyst
ESSENTIAL FUNCTIONS:
Analyzes data from internal and external sources
Helps design framework for data collection to effectively measure program outcomes and impact
Tells the story in the numbers in a way that is easy to understand, through written analysis, data visualizations, and public presentations.
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