Harm Reduction Data Analytics Coordinator

Milwaukee County WisconsinMilwaukee, WI
Onsite

About The Position

The Office of Emergency Management (OEM) is seeking a highly motivated and growth-oriented individual who is passionate about applying a data lens to community harm reduction efforts. The Harm Reduction Data Analytics Coordinator will leverage large datasets to inform the County and EMS systems and translate data into action. The primary work includes cleansing, manipulation, analyzing, visualizing and communicating data utilizing multiple tools and modern technology. Specific expertise is needed in programming languages such as Python, SQL, R, Power BI, and machine learning to increase data quality.

Requirements

  • Current resident of the State of Wisconsin
  • Valid Wisconsin Driver’s License required and must be maintained throughout employment.
  • Bachelor's or higher degree in Data Analytics, Programming, Data Science or Public Health
  • Three years of experience working in Data analytics and reporting for decision making, programming and data manipulation.
  • At least one year experience working with large datasets and data management systems
  • One year of experience working with programming languages such as Python, SQL, and/or R
  • Advanced Knowledge of all related computer and software applications, such as word processing and spreadsheets.
  • Strong communication and presentation skills to effectively convey analysis findings to technical and non-technical audiences.
  • The ability to Lift/Carry and Push/Pull up to 50lbs.

Nice To Haves

  • Previous experience with advanced data analysis and modeling.
  • At least 3+ years experience in visualizing data including the use of a Business Intelligence tool, Power BI.

Responsibilities

  • Utilize a variety of technological tools (such as Microsoft Excel, Power BI, R, SQL, machine learning algorithms, and Python) to clean, manipulate, transform, analyze, and automate data and related processes.
  • Conduct exploratory, statistical, and predictive analyses related to EMS and public health.
  • Visualize and communicate data strategically. Methods of sharing data is flexible and audience dependent and will require effective use of business intelligence tools.
  • Collaborate with technical and non-technical partners and subject matter experts to set data strategy, identify opportunities for process improvements, recommend system modifications, and develop policies for data governance.
  • Fulfill requests for data sharing with partners through the established procedure.
  • Engage in data initiatives to support executive leadership and strategic plan.
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