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American Enterprise Institute · 2 weeks ago

(Senior) Research/Data Analyst, Housing Center

US-DC-Washington

Full-time

Onsite

Mid, Senior Level

$65K/yr - $85K/yr

1+ years exp

American Enterprise Institute is the nation’s leading market-oriented housing research center, focused on data-driven housing knowledge and policy solutions. The (Senior) Research/Data Analyst will assist in creating, managing, and analyzing large datasets to derive insights and inform US housing policy, while conducting statistical analyses and drafting research papers.

Non Profit

H1B Sponsor Likely

Responsibilities

Perform statistical analysis and modeling according to detailed specifications to support small studies and fulfill ad hoc requests

Combine processes, techniques, and methodologies from various fields to perform predictive and statistical analysis on large and often disparate datasets

Create data listings, tabulations, graphs, and figures for studies and reports

Integrate data from various sources as required

Assemble financial, workforce, technological, economic, statistical, and other operational datasets to inform comparative and predictive analyses of housing issues

Examine data for trends and anomalies to draw actionable conclusions

Forecast trends and derive key indicators

Using statistical software, perform statistical analysis and modeling to support small to large studies and fulfill ad hoc requests

Develop models, algorithms, and metrics to facilitate data interpretation. Work with various AEI employees to present and operationalize data to achieve accessible insights

Combine processes, techniques, and methodologies from various fields to perform predictive and statistical analysis and modeling on large and often disparate datasets

Create data listings, tabulations, graphs, and figures for studies and reports

Examine data for trends and anomalies to draw actionable conclusions

Forecast trends and derive key indicators

Integrate data from various sources as required

Take action to solve problems and issues that routinely arise in areas of assigned responsibility

Apply deep professional knowledge to independently solve a full range of complex problems

Qualification

Data analysis toolsStatistical methodsData science techniquesMicrosoft ExcelStataRPythonData governanceGeospatial analysisData visualizationMultitaskingCommunicationOrganizational skillsProblem-solving skillsAttention to detailTeam-oriented

Required

Research or Data Analyst: a master's degree with zero years of full-time, applicable work experience or a bachelor's degree and at least two years of full-time, applicable work experience

Senior Research/Data Analyst: a master's degree and at least one year of full-time, applicable work experience or a bachelor's degree and at least three years of full-time, applicable work experience

A degree in economics, finance, real estate, public policy, computer science, or a related discipline

Knowledge of Microsoft Excel

Fluency in data analysis tools and languages including Stata, R, and Python

Strong communication and organizational skills

A demonstrated interest in housing and public policy research

A strong understanding of statistical methods and data science techniques

Strong problem-solving skills

Knowledge of data governance and compliance standards

The capacity to meticulously document all data processes, methodologies, and analyses

An ambitious outlook, comfort with working independently, and readiness to learn new skills as projects demand

The ability to manage multiple projects and meet deadlines

The ability to work effectively in a fast-paced and team-oriented environment

Preferred

Experience with Structured Query Language (including PostgreSQL, MySQL, DBT, and DuckDB) and data engineer workflows (including extract, transform, load and extract, load, transform)

Proficiency with geospatial analysis and visualization, particularly with web-mapping tools, such as Leaflet, Mapbox, Deck.gl, and ArcGIS or QGIS

Experience with web development using JavaScript, TypeScript, Node.js, or PHP

Knowledge of data visualization tools such as Tableau, Quarto, ggplot2, or Matplotlib

Familiarity with version-control software such as Git/GitHub, Docker, and Python

Benefits

18 days of paid leave (15 days of paid annual leave and three personal days or floating holidays)

12 days of paid sick leave

Paid family leave

Medical and dental coverage, in addition to a health savings account

Medical and dependent care flexible spending accounts

A tuition assistance program of up to $5,200

Life and disability insurance at no cost to employees

A 403(b) retirement plan with a 12 percent contribution from AEI

Company

American Enterprise Institute

Tech Policy Daily offers research and commentary on broadband, FCC policy, cybersecurity, and competition in high-tech industries.

Founded in 1938

Washington, District of Columbia, USA

51-200 employees

http://www.aei.org

H1B Sponsorship

American Enterprise Institute has a track record of offering H1B sponsorships. Please note that this does not guarantee sponsorship for this specific role. Below presents additional info for your reference. (Data Powered by US Department of Labor)

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2022 (1)