Data and Innovation Analyst 1
Overview
As part of the Data and Innovation Team, the City of Madison seeks to fill up to two Data and Innovation Analyst positions. In this role, the incumbent will work to provide innovative solutions to complex problems facing the City. This work is done by partnering with agencies to leverage data as a means to understand their service delivery, business processes, and outcomes they are seeking to achieve. To do so, the incumbent will apply the principles of design thinking, use statistical knowledge to recognize patterns, identify opportunities and improvements in business processes with respect to data collection, and through lines of inquiry make valuable discoveries leading to insights or improvements that have a significant impact on the organization. We seek team-oriented candidates who thrive in a fast-paced, challenging work environment and who believe that innovation drives results.
The Data and Innovation Team is housed within the Finance Department’s Office of Budget and Program Evaluation. Through agency partnerships, this position will also help build the capacity of City agencies to pursue analytics and innovation in relation to agency plans, goals, strategies and operational effectiveness. This is a unique opportunity to help local government leverage information management, statistics, programming, and project management skills to further a data- and innovation-informed culture.
Position Goal
Work with the Data and Innovation Manager to conduct deep quantitative and qualitative research and analyses to assess local conditions; help agencies develop innovative, responsive solutions; and measure progress against clear goals.
General Position Description
The Analyst selected for this position will work closely with department and City leadership to build systems and perform technical research to leverage data and innovation in order to solve problems and make decisions. This role is critical in supporting the use of data to inform decisions across the City and Madison’s focus on innovation. The ideal candidate will be a solutions-driven individual who enjoys working with others to drive results.
The person selected for this position needs:
- The ability to explain complex, technical subject matter to a non-technical audience both orally and in writing.
- An interest in learning about the types of challenges municipal governments typically face.
- Strong aptitude for learning new software programs, programming tools, and statistical and research techniques.
- A growth mindset, including interest and ability to learn from and teach others, both internally and externally.
- To understand concepts around data ethics and data quality.
The ability to work both independently and collaboratively in a results-oriented workplace, MINIMUM QUALIFICATIONS:
Two (2) years hands-on data, statistical, and/or computing experience, such as:
- Working with data through data collection, data entry, data maintenance, data analysis, reporting or presentation
- Using data and statistical concepts in research or applied settings to inform strategic decisions or solve complex problems.
- Working with SPSS, Stata, R, and/or other statistical software packages;
- Working with SQL, Python and/or other computer programming languages.
OR
- Graduation from an accredited college or university with a Bachelor's Degree in business analytics, computer science, data science, math, statistics, economics, public administration, public policy or a related field.
- December 2020 graduates will be considered.
If an applicant does not possess the experience and degree listed above, HR will review the application materials to determine if the applicant possesses the following equivalent experience:
Two years of experience in applying the following:
Principles of data analysis, administration and management.
- Computer software applicable to the duties of the position, including Microsoft products, analytical software (such as Python, R, SQL and software), and programming and/or query languages.
Familiarity with the following:
- Data governance, data quality, data security principles and best practices.
- Computer-assisted data analysis techniques.
- with respect to stakeholders, deadlines, and changing environments.