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About Audiense and Buxton

Audiense integrates three leading brands—Buxton, Elevar, and Audiense—into one comprehensive analytics platform. Buxton offers over 30 years of expertise in predictive modeling and location intelligence, Elevar provides industry-leading eCommerce tagging, event tracking, and revenue attribution tools, while Audiense delivers award-winning audience segmentation and social consumer intelligence. Collectively, they assist various industries, including retail, CPG, and media, in making smarter and faster growth-driven decisions.

Role Overview

This role focuses on supporting the Buxton by Audiense line of business through advanced analytics projects. It suits an analytical, self-motivated professional comfortable in fast-paced settings who can manage analytical assignments independently from initial problem framing to final delivery. The position demands expertise in quantitative analysis, statistical modeling, and Python-based data workflows, collaborating across teams and engaging with clients to translate data-driven insights into strategic guidance.

Key Responsibilities

Lead comprehensive analytical projects starting from exploratory data analysis, methodology selection, to insightful delivery.
Create quantitative models and sophisticated analytical methodologies aiding client decisions in marketing, real estate, and consumer strategies.
Examine extensive, complex data to detect patterns, trends, and actionable insights.
Conduct ad hoc data analyses leveraging Python, SQL, and statistical tools.
Communicate findings effectively to technical and non-technical stakeholders with clear business recommendations.
Liaise with internal teams and clients to define analytical questions and prioritize impactful opportunities.
Manage multiple projects autonomously in a dynamic environment with limited supervision.
Develop visualizations, reporting tools, and deliverables that empower business decision-making.
Collaborate cross-functionally to deepen analysis and enhance client value.

Qualifications and Skills

Bachelor’s degree in Data Science, Statistics, Economics, Mathematics, Business Analytics, or related quantitative fields; advanced degrees favored.
Extensive experience in quantitative analytics, statistical modeling, and interpreting data.
Advanced Python skills for data analysis, automation, and model development.
Ability to work independently with large, multifaceted datasets from various sources.
Competence in reframing ambiguous business problems into analytical frameworks and actionable strategies.
Strong analytical and problem-solving capabilities with intellectual curiosity.
Excellent communication skills, both written and spoken.
Adaptability to rapidly learn new business contexts with minimal onboarding.
Comfort operating in fast-paced, evolving priority environments.
Preferred: experience in client-facing roles, consulting, or cross-functional teams.
Preferred: proficiency with SQL and data querying.
Preferred: experience with predictive modeling and advanced analytics methodologies.

Compensation and Additional Information

The hourly pay range for this remote US-based contract is between 45 and 60 USD.

Predictive Data Analyst (12-Month Contract)