Data Science Analyst

Analytic Partners • Miami, FL

1d • Hybrid

About The Position

Analytic Partners is a global leader in commercial measurement and optimization, turning data into expertise for the world’s largest brands for almost 25 years.
Our holistic approach to decisioning is powered by our industry-leading platform and team of experts, who help leaders make better decisions, faster – unlocking business growth and creating powerful customer connections.
With clients in 50+ countries and global offices across New York City, Miami, Dallas, Dublin, London, Paris, Singapore, Shanghai, Munich, Sydney, Melbourne, Charlottesville and Denver, we’re growing fast. And we’re looking for top talent to join us in shaping the future of analytics.
To learn more about what we do, visit analyticpartners.com – and see why we’re recognized as a Leader in the industry by independent research firms Forrester and Gartner.

Overview:
We are seeking a highly analytical and driven Solution Analyst / Data Scientist with a strong foundation in mathematics and econometrics to join our team. This role focuses on applying advanced data analysis techniques and AI-driven solutions to solve complex business problems, particularly in the marketing analytics domain.

Requirements

• Strong academic background in Mathematics, Econometrics, Statistics.
• Proficiency in Python, SQL, and/or R for data analysis and modeling
• Experience with data manipulation, statistical analysis, and model development
• Solid understanding of econometric techniques and their business applications
• Knowledge of AI agent frameworks (e.g., LangChain) and LLM applications
• Strong problem-solving skills and ability to work with complex datasets

Nice To Haves

• Experience in marketing analytics, such as marketing mix modeling, attribution, or customer analytics
• Experience building end-to-end data science solutions or analytics platforms
• Familiarity with cloud platforms and data engineering concepts
• Experience with visualization tools (e.g., Tableau, Power BI, or Python libraries)

Responsibilities

• Analyze large, structured and unstructured datasets to extract actionable insights and support business decision-making
• Develop and implement data-driven solutions for marketing performance measurement, including ROI analysis and optimization
• Design and build statistical and econometric models (e.g., marketing mix models, forecasting models)
• Leverage AI and machine learning techniques, including AI agents and LLM-based solutions, to enhance analytical capabilities
• Collaborate with cross-functional teams to translate business requirements into analytical frameworks and technical solutions
• Identify opportunities to apply advanced analytics to improve marketing efficiency and effectiveness
• Automate data pipelines, reporting, and analytical workflows using modern tools and technologies
• Communicate insights clearly to stakeholders through data visualization and storytelling

What This Job Offers

• Job Type: Full-time
• Career Level: Entry Level
• Education Level: No Education Listed
• Number of Employees: 251-500 employees