Data Analyst (4814-31)

The ProsecutorCincinnati, OH
Onsite

About The Position

Hamilton County Prosecutor’s Office is seeking a detail-oriented Data Analyst to join our dynamic prosecutorial team. As a data analyst, you will be responsible for collecting, interpreting, and analyzing data. You will work closely with stakeholders to understand their data needs, develop analytical solutions, and present findings in a clear and concise manner.

Requirements

  • Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or related field.
  • Proficiency in data analysis, operational intelligence or related roles.
  • Strong analytical and problem-solving skills with attention to detail.
  • Excellent communication and presentation abilities.
  • Ability to work independently and collaboratively in a fast-paced environment.

Nice To Haves

  • Experience with data visualization tools is a plus.
  • Experience, and or education in the field of law enforcement or criminal justice is a plus.
  • Knowledge of machine learning and data mining techniques is desirable.

Responsibilities

  • Extract, transform, and load (ETL) data from various sources.
  • Clean preprocess data to ensure accuracy and consistency.
  • Develop scripts and workflows to automate data collection and processing tasks.
  • Perform exploratory data analysis to uncover trends, patterns, and anomalies.
  • Apply statistical and analytical techniques to derive insights from complex datasets.
  • Conduct hypothesis testing and predictive modeling to support office objectives.
  • Create visually appealing and interactive dashboards, reports, and presentations.
  • Communicate findings and recommendations using data visualization tools.
  • Collaborate with cross-functional teams to design and deliver actionable insights.
  • Validate data accuracy, completeness, and integrity.
  • Identify and address data quality issues and discrepancies.
  • Implement data quality controls and monitoring mechanisms.
  • Stay abreast of industry trends, best practices, and emerging technologies in data analytics.
  • Participate in training programs and professional development opportunities.
  • Share knowledge and insights with colleagues to foster a culture of continuous learning.

Benefits

  • Full-time role; paid bi-weekly; paid vacation, sick time, two annual personal days.
  • Comprehensive Benefits Package: Medical, HRA, Dental, Vision, Employer-Paid Life Insurance, Public Service Loan Forgiveness Eligibility, Wellness Incentives, Employee Assistance Plan.
  • Ohio Public Employee’s Retirement System which includes a 10% employee contribution and a 14% employer contribution.
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