Analytics Engineer

The Company

Radius Group is an early-stage startup reshaping workforce planning through advanced data technologies. Our mission is to empower employers with insights to strategically develop talent pipelines amidst unprecedented labor shortages.

The U.S. is facing a projected shortage of 6.5 million skilled workers by 2030. Radius Group is taking on this challenge through our Talent Radar—a powerful tool for analyzing talent supply and demand to predict workforce needs. With support from Bloomberg Philanthropies, we've collaborated with major companies on a prototype and are gearing up to launch the beta version in early May. Be part of our journey to revolutionize how employers shape tomorrow's workforce.

Objectives Of This Role Include

Develop scalable data pipelines, leading Radius data model architecture. Optimizes performance to support advanced labor supply/demand forecasting models. Design and maintain efficient models for structured and unstructured data. Guide data procurement from employers and other sources. Determine data consumption for internal and external stakeholders, ensuring effective dataset evaluation and utilization.

Scope Of Work

Drive the evolution of the Radius data model architecture that forms the foundation of our Talent Radar. Develop a comprehensive understanding of available labor market data sources and their various strengths/weaknesses. Identify, evaluate, and interpret trends in workforce planning (supply, demand and talent acquisition metrics) requirements to support F1000 companies & translate data-driven insights into actionable strategies and recommendationsIntegrate external data sources into our software to improve accuracy and extend geographic reach of the Talent Radar. Apply a blend of labor market statistical knowledge, data analysis and data pipeline management tools to derive meaningful conclusions from complex datasets. Effectively communicate findings, trends, and recommendations to both technical and non-technical stakeholders through compelling presentations and reports. Be able to proactively speak up when plans need to change.

Skills, Abilities, And Attributes We’re Looking For

Bachelor's or Master's degree in Data Science, Statistics, Computer Science, or related field. 4-6 years of experience in a data-focused role Experience with machine learning techniques for labor market predictive analytics. Understanding of regulatory compliance and data privacy within HR data sets. Ability to explain labor economic models - demand and supply side modeling with a focus on predictive analytics - to others that do not have content expertise. Prior experience with developing, maintaining, and using large data sets. HR Data and ETL pipeline development experience is a plus. A track record of leveraging data to drive business decisions. Proficiency in data analysis tools such as Python, R, SQL, etc. Proactive contributor with the ability to guide and proof/validate data analyst work in-order to deliver a sustained data pipeline. Excellent communication skills to effectively convey complex findings and recommendations to diverse audiences.

Job Characteristics

Remote, U.S. based candidates onlyPart Time, 20 hours per week max; 1099 ContractorCompensation $75-90/hrIndependent contributor role

We seek a diverse pool of applicants and consider all qualified candidates regardless of race, ancestry, color, gender identity or expression, sexual orientation, religion, national origin, citizenship, disability, Veteran status, marital status, or any other protected status. If you have a special need or disability that requires accommodation, please let us know.