Statistical Analyst

About Radius:

Radius Global Market Research is a leading full-service consultancy specializing in strategic insights to drive brand growth. With expertise in data science and behavioral research, Radius conducts over 1,000 projects annually across industries such as technology, financial services, and consumer goods, helping businesses make data-driven decisions in over 60 countries.

Position Summary:

• We are seeking a curious and analytical Statistical Analyst to join our team. In this role, you will develop, refine, and implement statistical models, leveraging advanced techniques such as conjoint analysis, segmentation, and regression modeling to deliver insights that drive business decisions. You will collaborate closely with project teams to translate complex statistical concepts into actionable insights for clients.
• This position offers the opportunity to grow into a leadership role in modeling and methodology, making a direct impact on the company’s analytical capabilities.
• Key Responsibilities:
• Choice Modeling: End-to-end development of models, from experimental design to data analysis and simulation.
• Multivariate Analysis: Apply statistical techniques, including conjoint, regression, segmentation, and perceptual mapping.
• Innovate & Learn: Stay at the forefront of advanced analytics by implementing new statistical methods and techniques (e.g., Bayesian analysis, machine learning approaches).
• Collaborate with Project Teams: Translate statistical insights into strategic recommendations for clients and internal stakeholders.
• Ensure Data Quality: Maintain high standards in data precision, validation, and internal data checks.

What We’re Looking For:

Technical Skills:

• · Strong proficiency in statistical software (e.g., R, Python, SPSS, Lighthouse).
• · Conceptual understanding of multivariate techniques (correlation, regression, factor analysis, segmentation, conjoint analysis).
• · Experience handling datasets and ensuring data integrity.
• · Some programming experience preferred (Visual Basic, Python, R, or equivalent).

Analytical Mindset:

• · Ability to go beyond the numbers—understand the story behind the data.
• · Strong problem-solving skills and creative application of statistical concepts.
• · Capacity to apply statistical techniques across different studies and industries.
• · Critical thinker who recognizes and challenges inconsistencies in data.
• · Curiosity-driven: Interested in learning new methodologies and keeping up with industry advancements.

Qualifications:

• · Bachelor’s (Master’s preferred) in a quantitative field (Statistics, Data Science, Mathematics, Economics, or related).
• · 1-3 years of experience in a data-driven analytical role (or strong academic experience in relevant statistical methodologies).
• Why Join Radius?
• · Professional Growth: Gain hands-on experience in advanced statistical modeling and opportunities for career progression.
• · Cutting-Edge Work: Work with leading statistical techniques and contribute to innovative projects.
• · Collaborative Team: Work alongside industry experts in a supportive and learning-driven environment.
• · Impactful Role: See your models directly influence business strategies and decisions.

Radius is an equal opportunity employer and does not discriminate on the basis of race, national origin, gender, gender identity, sexual orientation, protected veteran status, disability, age, or other legally protected status.