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 the Human Services and Public Health Department (HSPHD) is seeking a Senior Data Analyst to generate actionable insights for our lines of business. This position will develop data analytics products from concept to production. The Analyst will extract and analyze data from large databases and present results to leadership, stakeholders, and staff within and outside of the county. This Analyst will support a variety of Aging Access and Disability programs including Long Term Services and Supports, Front Door Social Services, Department Navigators, Office of Multicultural Services, and Adult Protection.
Location and hours:
This position is 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 Monday through Friday from 8 a.m. - 4:30 p.m. While this position is designated as remote, based on current requirements hires must reside or be willing to relocate to Minnesota or Wisconsin.
In this position, 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 in any field and a minimum of two courses in research methods, analysis, statistics, project management, planning or evaluation and 18 months or more of relevant data analyst, data science, or applied research experience.
Bachelor's degree in one of the fields listed below and one year or more of relevant data analyst, data science, or applied research experience.
Master's degree or higher 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 the role (long term services, adult protection, multicultural services, front door social services) and/or computer systems used in these areas (MAXIS, Medicaid Management Information System or MMIS, 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).