Analyst, Data Science - Burson

About the role

We are seeking a hands-on Analyst, Data Science to join Burson’s Insights & Intelligence (I&I) team. The I&I team sits at the heart of Burson’s work, turning data into strategic insights that drive storytelling, campaign performance, and business outcomes. With an expanding client roster and growing scopes of work, our best-in-class team supports some of the world’s most recognizable global brands, including The Coca-Cola Company, Verizon, and Google. This is a great opportunity for someone early in their data science career who is excited to apply technical and analytical skills to real-world business, marketing, and communications challenges. Working alongside data scientists, analysts, engineers, and strategists, you’ll support data science, dashboarding, and AI-driven initiatives that turn complex data into clear, actionable insights. The ideal candidate has 1–2 years of relevant experience and a strong foundation in Python, SQL, statistics, and data analysis. We’re looking for someone who is intellectually curious, comfortable working with complex datasets, and eager to continue developing their technical and client-facing skills.

Responsibilities

• Support the end-to-end delivery of data science and analytics projects, including data preparation, analysis, modeling, visualization, and documentation
• Assist with the development, testing, and refinement of predictive models, including time-series, forecasting, and machine learning solutions
• Write and maintain code in Python, SQL, and/or R to clean, transform, analyze, and model data
• Conduct exploratory data analysis to identify patterns, trends, anomalies, risks, and opportunities
• Support the development and maintenance of scalable data pipelines and ETL/ELT processes
• Work with structured and unstructured data from APIs, cloud platforms, databases, and other sources
• Integrate analytical and predictive outputs into client-ready dashboards, reports, and tools
• Build and maintain dashboards and data visualizations using platforms such as Power BI, Tableau, or Looker
• Assist with evaluating model performance, data quality, and the accuracy of analytical outputs
• Translate technical findings into clear business insights and recommendations for non-technical audiences
• Support client meetings and presentations by preparing analyses, visualizations, and key takeaways
• Conduct ad hoc analyses to answer specific client and business questions
• Document methodologies, code, models, and project deliverables
• Participate in code reviews and follow established standards and best practices
• Support the responsible and effective use of AI across analytics workflows
• Collaborate with data scientists, analysts, engineers, and strategists across multiple projects

Requirements

• 1–2 years of experience in data science, data analytics, data engineering, business intelligence, or a related field, including relevant internship or professional experience
• Bachelor’s degree in Data Science, Statistics, Computer Science, Mathematics, Economics, Engineering, or another quantitative discipline, or equivalent relevant experience
• Hands-on experience using Python and SQL for data manipulation, analysis, and modeling
• Familiarity with Python data science libraries such as pandas, NumPy, and scikit-learn
• Foundational understanding of predictive modeling, statistical analysis, machine learning, and forecasting
• Exposure to analytical techniques such as regression, classification, clustering, optimization, or time-series analysis
• Experience with dashboarding and data visualization tools such as Tableau, Power BI, or Looker
• Familiarity with ETL/ELT processes, APIs, relational databases, and data pipelines
• Exposure to cloud data platforms such as AWS or Redshift is a plus
• Foundational understanding of data modeling concepts, including star and snowflake schemas
• Strong analytical and problem-solving skills with close attention to detail
• Ability to communicate technical concepts and analytical findings clearly to non-technical audiences
• Ability to manage priorities and contribute across multiple projects in a collaborative environment
• Experience in PR, communications, advertising, marketing analytics, or another client-service environment is a plus
• Curiosity and a strong desire to continue developing technical, business, and client-facing skills
• Commitment to using data and AI thoughtfully, responsibly, and effectively

Benefits

We offer a competitive benefits package including professional development opportunities, mentorship programs with industry leaders, a vibrant and inclusive company culture fostering collaboration and innovation, and packages designed to reward and retain top talent.

Pay

The base salary for this position at the time of this posting may range between $35,000—$75,000 USD. Individual compensation varies based on job-related factors, including location, business needs, level of responsibility, experience, and qualifications.

Schedule

Hybrid approach with teams in the office around four days a week. Accommodations or flexibility can be discussed with the hiring team during the interview process.