Quick Summary
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.
· A curious and proactive individual who is passionate about data science and continuous learning
· Strong interest in applying analytical and AI-driven approaches to real-world marketing challenges
· Ability to independently investigate opportunities and propose innovative solutions
· Excellent communication skills with both technical and non-technical stakeholders
· 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
Requirements
~1 min read· 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
Requirements
~1 min read· 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)
Location & Eligibility
Listing Details
- Posted
- April 3, 2026
- First seen
- April 3, 2026
- Last seen
- April 28, 2026
Posting Health
- Days active
- 24
- Repost count
- 0
- Trust Level
- 25%
- Scored at
- April 28, 2026
Signal breakdown
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