Data Analyst 1

Job Description

This is a non-merit position. Candidates must follow the instructions in the "To Apply" section. Positions in this class are exempt from the screening and referral requirements of the Iowa Department of Administrative Services - Human Resources Enterprise.

The Department of Management (DOM) is seeking a detail-oriented Data Analyst 1 to join our dynamic team. In this role, you will play a crucial part in collecting, assessing, and preparing data for analysis. If you have a passion for transforming data into actionable insights and enjoy working in a collaborative environment, we want to hear from you!

Key Responsibilities

• Data Collection & Preparation
• Collect structured data from various sources, including databases, spreadsheets, and external applications.
• Assess data quality and reliability through exploration and cleaning, identifying and resolving errors and inconsistencies.
• Document methods used for data cleaning to ensure transparency and reproducibility.
• Data Analysis & Reporting
• Analyze collected data to extract meaningful insights using statistical techniques.
• Develop interactive and static reports and visualizations to effectively communicate findings.
• Streamline data collection methods to enhance automation and identify areas for improvement.
• Support Data Environment
• Assist in the administration of the enterprise data analytic environment, including Iowa Data Hub and related resources.
  
  

Preference Will Be Given To Candidates With Experience In

• Google Big Query
• Looker Visualization Tools
  
  

Please note, candidates for this position must reside

in the state of Iowa at the time of starting the role.

Employer Highlights

The Department of Management is a well-respected employer. We are focused on providing excellent customer service, while offering a wonderful team atmosphere, work-life balance, free parking, and casual attire. We have a great total compensation package for all our full-time employees, including:

• Iowa Public Employees' Retirement System (IPERS)
• Retirement Investors Club (RIC)
• Flexible Working Environment- Work from Home Opportunities
• Health, Dental and Vision Insurance
• Vacation Leave
• Sick Leave
• Paid Holidays
• Flexible Spending Accounts
• Life Insurance
• Long-Term Disability Insurance
  
  

Background Check Requirements

• After a conditional offer of employment has been made, and as the final step in the hiring process, candidates for this position will be subject to a background investigation, which may include but may not be limited to a verification of a candidate’s education, previous employment/work history, contact of personal references, motor vehicle records, and a criminal history check (including through Federal, State, or Local criminal justice agencies).
• Information gathered as part of such background investigation will be treated as confidential to the extent permitted by Iowa Code section 22.7, 8B.4A, and other applicable laws, rules, and regulations; provided that, to the extent permitted by applicable law, such information shall be available to candidates upon request.
  
  

Minimum Qualification Requirements

Applicants must meet at least one of the following minimum requirements to qualify for positions in this job classification:

• Graduation from an accredited four-year college or university with a degree in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management.
  
  

2 ) All Of The Following (a And B)

• A total of four years of education and/or full-time experience in business/data/statistical analytics, economic research, or data science, where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience.
• Possession of a professional certificate in data science, business analytics, or data analytics.
• All of the following (a and b):
• A total of four years of education and/or full-time experience in business/data/statistical analytics, economic research, or data science, where thirty semester hours of accredited college or university coursework in any field equals one year of full-time experience; and
• A total of one year of graduate-level education and/or full-time experience (as described in part a), where twenty-four semester hours of accredited graduate college or university coursework in business analytics, economics, data science, statistics, mathematics, management information systems, or industrial management equals one year of full-time experience.