Make a difference in the lives of Hennepin County residents. Join a talented, engaged, and inclusive team dedicated to impacting our community using data and analytics.
The Data and Analytics team in Health and Human Services is seeking two Principal Data Analysts to generate actionable insights for our lines of business. These positions will develop data analytics products from concept to production. Analysts will extract and analyze data from large databases and present results to leadership, stakeholders, and staff within and outside of the county. One position will support the area of Economic Supports and will focus on public assistance and healthcare programs that help meet the basic needs and increase the self-sufficiency of Hennepin County residents. The other position will support the area of Children & Family Services and will focus on child welfare and protection programs that promote safety, stability, healthy development, permanency and well-being of children and youth in Hennepin County.
Location and hours:
These positions are remote. Remote workers may be required to come on-site an average of 0 to 12 days a year for work meetings, trainings, or for any other reasons that their supervisor may deem necessary (may include additional days for onboarding and new employee training). Supervisors will provide as much advance notice as practicable. Work hours are flexible, Monday through Friday, between 7:30 a.m. and 5 p.m. Based on business needs of this position, hires must live in or relocate to Minnesota.
In these positions, you will:
Query, transform, and clean data from a variety of sources.
Analyze data and identify trends, patterns, and insights.
Visualize data in engaging and informative ways for various stakeholders.
Develop reports and dashboards from concept to production.
Participate in continuous improvement activities related to data practices and workflows.
Identify and understand the needs of different stakeholders, including general staff, leadership, and data coordinators.
Collaborate with business partners to define business needs, articulate business and research questions, and find relevant data sources.
Develop actionable insights from data analysis that can be used to improve the lives of county residents in various ways.
Communicate actionable insights to stakeholders and decision-makers clearly and concisely.
Need to Have:
One of the following:
Bachelor's degree or higher in any field and a minimum of two courses in research methods, analysis, statistics, project management, planning or evaluation and four years or more of relevant data analyst, data science, or applied research experience.
Bachelor's degree or higher in one of the fields listed below and three years or more of relevant data analyst, data science, or applied research experience.
Master's degree or higher in one of the fields listed below and two years or more of relevant data analyst, data science, or applied research experience.
Ph.D. degree in business administration, public administration, research methods, statistics, behavioral/social science, public health, computer science/MIS, management science, urban/city planning, or a field appropriate to the area of specialization.
Nice to have:
Collecting, analyzing, and interpreting data, with attention to detail and accuracy, to help improve business/organizational practices.
Telling stories through data visualization using user-centered design best practices.
Querying and transforming data from large and complex databases using SQL or similar tools.
Report development using business intelligence or reporting tools (Power BI, SSRS, QlikView, Tableau, etc.).
Identify and solve problems using data and apply analytical and creative thinking to make data-informed recommendations for action.
Think critically about data, identify potential biases and errors in data, and evaluate the validity of data sources.
Work independently and successfully manage multiple priorities.
Build and nurture collaborative relationships with a variety of business partners.
Clearly and concisely explain complex data in a way that is easy to understand, verbally and in writing.
Utilize available resources to continually learn and develop professionally.
Programs and services related to either role (public assistance programs like food, cash, and emergency support, child services and child welfare, foster care) and/or computer systems used in these areas (MAXIS, Social Services Information System or SSIS).
Statistics and experience using statistical packages for analyzing datasets (R, Python, SAS, Stata, etc.).
Data science process and principles (i.e., business/data understanding, data preparation, modeling - statistics/machine learning, evaluation, and deployment).