Perform statistical analyses 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 analyses 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.
Senior Research/Data Analyst
Using statistical software, perform statistical analyses 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 analyses 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 in-depth, professional knowledge to independently solve a full range of complex problems.
Requirements & Skills:
Research/Data Analyst: a master’s or bachelor’s degree and at least two years of work experience
Senior Research/Data Analyst: a master’s degree and at least one year of work experience or a bachelor’s degree and at least three years of 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/or 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 and the ability to learn new 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
Experience with SQL (Postgres, MySQL, DBT, DuckDB) and ETL/ELT data engineer workflows
Proficiency with geospatial analysis and visualization, particularly with web mapping tools, such as Leaflet, Mapbox, Deck.gl, or ArcGIS/QGIS
Experience with web development using Javascript, Typescript, NodeJS, or PHP
Knowledge of data visualization tools such as Tableau, Quarto, ggplot2, or Matplotlib
Familiarity with version control software, e.g. Git/Github, Docker, and Python environments.
