Salary
$57,607.10 - $91,428.67 Annually
Job Type
Full-time
Job Number
24IDA843rla075
Closing Date
11/8/2024 11:59 PM Central
Description
The Integrated Data and Analytics (IDA) department is seeking an experienced Data Analyst to generate actionable insights in support of key county strategies. This position will support a team of data scientists and also lead independent data analytics products from concept to production. The analyst will play a key role sourcing data from departments from around the county. The analyst will also extract and analyze data from large databases and present results to leadership, stakeholders, and staff within and outside of the county. Current Hennepin County employees who refer a candidate hired into an open competitive position may be eligible for a $500 referral bonus. For more information visit employee referral program.
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. with flexibility. While this position is designated as remote, based on current requirements hires must reside in or relocate to Minnesota.
About the position type:
This is a full-time, benefit earning position.
This position is internally classified as a Planning Analyst, Senior.
Click here to view the job classification specification.
In this position, you will:
· Source data for new projects and ongoing projects that do not already have pipelines set up.
· 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:
o Bachelor's degree in business administration, public administration, research methods, statistics, behavioral/social science, public health, computer science/MIS, management science, urban/city planning and two years of related experience.
o Related education and/or experience to total six years.
Nice to have:
· Experience with:
o Collecting, analyzing, and interpreting data, with attention to detail and accuracy, to help improve business/organizational practices.
o Telling stories through data visualization using user-centered design best practices.
o Querying and transforming data from large and complex databases using R, Python, SQL or similar tools.
o Report development using business intelligence or reporting tools (Power BI, SSRS, QlikView, Tableau, etc.).
· Ability to:
o Identify and solve problems using data and apply analytical and creative thinking to make data-informed recommendations for action.
o Think critically about data, identify potential biases and errors in data, and evaluate the validity of data sources.
o Work independently and successfully manage multiple priorities.
o Build and nurture collaborative relationships with a variety of business partners.
o Clearly and concisely explain complex data in a way that is easy to understand, verbally and in writing.
o Utilize available resources to continually learn and develop professionally.
· Knowledge of:
o Statistics and experience using statistical packages for analyzing datasets (R, Python, SAS, Stata, etc.).
o Data science process and principles (i.e., business/data understanding, data preparation, modeling - statistics/machine learning, evaluation, and deployment).
o Cloud computing platforms (Azure, Databricks, Spark, Hadoop).
o Program evaluation and/or survey design and administration.
If you have any questions, please contact:
Roberta Arpinar