Johns Hopkins University (Bloomberg Center for Public Innovation) seeks a Research Data Analyst to join the Communications Practice. The first of its kind in the world, the Center aims to advance the field of public sector innovation by marrying cutting-edge practice with world class research in order to transform the culture of government, deliver exceptional results for residents, and inspire trust in public service. This is a new, full-time position on the expanding Data and Insights team, which works to track the growing Bloomberg Cities Network, measure internal progress for the Center, conduct analysis related to city-centric data visualization narratives, and undertake special research projects directly for cities. You will report to the Senior Advisor, Data and Insights.
This position includes:
- Data-oriented research.
- Data collection.
- Cleaning, exploration, analysis.
- Visualization to uncover insights.
- Answer policy-related questions.
- Innovate, creative solutions that help local governments solve problems that matter to leaders and residents.
- You should have a strong understanding of
- Quantitative analysis
- Curiosity and commitment to unlocking the full potential of data for the public good.
The Center is committed to working with communities that are focused on ending legacies of structural, entrenched racism and oppression. The Data Analyst must be willing to think about reimagined government, knowledge, and engagement models through the lens of dismantling these legacies.
Specific Duties & Responsibilities:
- Identify and use public open data sources (like the U.S. Census) and other research data sources
- Clean and combine data from internal and external sources to tell a multifaceted story
- Visualize data to explore trends and relationships
- Collect insights from qualitative data, such as interviews, and combine it with quantitative data
- Create proxies for unattainable data (e.g. number of closed pothole complaints on 311 rather than actual potholes in a city)
- Help to produce new resources related to data governance and tool adoption including reports, tutorials, and guides to strengthen the Center’s internal knowledge base
- Provide research and analytical support to Communications team and other practice areas
- Collaborate with other analysts, data scientists, researchers, policy experts, and other technical and non-technical partners
- Perform routine administrative tasks, including scheduling and document management
- Other duties as assigned
Minimum Qualifications (Mandatory):
- Bachelor’s Degree in related discipline.
- Three years related experience
- Additional education (Master’s level) may substitute for required experience, to the extent permitted by the JHU equivalency formula.
* JHU Equivalency Formula: 18 graduate degree credits (semester hours) may substitute for one year of experience. For jobs where equivalency is permitted, up to two years of non-related college course work may be applied towards the total minimum education/experience required for the respective job.
** Applicants who do not meet the posted requirements but are completing their final academic semester/quarter will be considered eligible for employment and may be asked to provide additional information confirming their academic completion date.
- Bachelors’ Degree in Mathematics, Statistics, Data Science, Computer Science, Engineering, Information Science, or related field
- Programming proficiency in Python for data cleaning and analysis. Familiarity with the Matplotlib Python library is preferred. Experience with a different programming language such as R will be considered.
- Proficiency in Microsoft Excel (including Pivot tables)
- Proficiency in Google Suite (including Sheets, Docs, Slides)
- Experience with version control software (e.g. GitHub)
- Experience using project management and collaboration software such as Asana
- An understanding of quantitative and qualitative research methods
Special Knowledge, Skills & Abilities:
- Familiarity with ArcGIS Online and Operational Dashboard or QGIS
- Familiarity with public sector data, policies, and
- Familiarity with qualitative research methods and how to combine qualitative and quantitative data for analysis
- Knowledge of data visualization frameworks such as Plotly, Tableau, PowerBI, or D3.js
- Knowledge of open-source relational databases such as MySQL or PostgreSQL
- Experience translating complex analytical findings into clear summaries for many different audiences
- Ability to work with, and understand, complex datasets – including protocols for optimizing data hygiene and working with sensitive data
- Ability to fill-in the holes of incomplete datasets with additional data and/or proxies for missing results
- Ability to self-initiate in a results-oriented workplace
- Desire to go beyond the immediate requested task and “follow the data” wherever it leads
- Interest in learning new tools and skills necessary to perform the work
- Excellent oral, written, and research skills
- Excellent attention to detail and a systematic approach to problem solving
- Commitment to a collegial workplace