i-team Data Analytics Manager, Pittsburgh (Innovation Team, Pittsburgh)

Johns Hopkins University•Pittsburgh, PA

1d•Onsite

About The Position

The Bloomberg Center for Public Innovation at Johns Hopkins University (the Center) seeks an i-team Data Analytics Manager, Pittsburgh, PA to support a new Pittsburgh Innovation Team (“i-team”). Innovation Teams unlock creativity from within city governments and the communities they serve. These teams take partners and stakeholders through an evidence-based process to tackle the big problems in their cities no one has yet been able to solve, generate more ambitious responses, and test and adapt interventions until they produce impact. They also work closely with the Mayor, the City's leadership team, and City departments to change the culture of city government. The Data Analytics Manager will create and execute the i-team’s approaches for using quantitative data and methods to understand complex issues. The ideal candidate will have a strong background in data analytics, be proficient in a general programming language (like Python) or a statistical package (R), and an appetite for engaging in non-quantitative aspects of the innovation process. The Data Analyst is an employee of Johns Hopkins University and based in City Hall of Pittsburgh. They report to the i-team Director. The first of its kind in the world, the Center is advancing the field of public sector innovation by marrying cutting-edge practice with world-class research to transform the culture of government, deliver exceptional results for residents, and inspire trust in public service.

Requirements

Five plus years relevant experience managing data and conducting quantitative analysis.
In-depth knowledge of quantitative and statistical analysis techniques.
Experience tracking key performance indicators.
Highly proficient with big-data software such as STATA, R, SAS, GIS software, Tableau, etc.
Advanced-level MS Excel skills, including the use of macros, pivot tables, and other advanced functions.
Strong ability to communicate complex concepts to diverse audiences and stakeholders.
Attentiveness to details, deadline-oriented, acute vision, and the ability to give and receive constructive criticism.
Excellent written and oral communication.
Experience working for or in collaboration with local government.
Strong sense of service to residents of Pittsburgh.
Bachelor's Degree.
Seven years of related experience.
Additional education may substitute for required experience and additional related experience may substitute for required education permitted by the JHU equivalency formula beyond a high school diploma/graduation equivalent, to the extent

Nice To Haves

Experience or familiarity with government innovation efforts, including a strong conceptual and practical understanding of innovation tools and the role of human centered design, data, and policy in the public sector.

Responsibilities

Lead the development and implementation of the i-team’s strategies for using quantitative data and methods to understand complex issues.
Shape and conduct approaches for collecting, organizing, and analyzing data, including methods for creating new data (e.g. through surveys) when there is limited or no data.
Employ diverse quantitative methodologies and software packages, including data validation, joining of diverse datasets, historical/trend analysis, comparative/cross-sectional analysis, GIS mapping, regression analysis, etc.
Invent and quickly iterate novel solutions to challenging data-related problems.
Create and manage project plans for the quantitative data components of all i-team work.
Develop and manage partnerships and collaborations with data providers and stakeholders inside and outside of city government.
Champion the use of quantitative data to drive decisions throughout the i-team’s work.
Produce compelling and intuitive data visualizations to drive comprehension of complex topics and concepts across a broad range of stakeholders.
Communicate data analysis so that information and findings are accessible to a non-technical audience, including through dashboard tools like Tableau or Microsoft Power BI.
Develop metrics and measurement systems to measure the impact of the innovation team’s projects and initiatives.
Connect data insights to civic design research and collaborate with the civic designer to conduct research sessions including focus groups, interviews, and user testing.
Support analogous research and literature reviews.
Serve as a key participant in each step of the Innovation Team methodology, providing a quantitative perspective to all projects.