Overview In this role you help clients become data-driven by expanding analytics capabilities and shaping marketing and sales strategies. You work with cross-functional teams to deliver data-powered insights that transform client outcomes. You'll lead analytical work, mentor teammates, and contribute to a knowledge base for the analytics group. This position offers high-impact, fast-paced learning in a global, diverse environment.
Compensation / Benefits- comprehensive benefits package
- competitive salary
- global, diverse environment
- world-class learning and apprenticeship culture
Responsibilities- Collaborate with clients and colleagues to develop strategies across marketing analytics platforms (CRM, pricing, promotions, MROI, marketing mix)
- Expand analytics capabilities and architect new data-driven strategies and applications
- Lead deep analytics on client data to drive business insights and decisions
- Guide knowledge development for the firm's analytics group and share methodologies
- Support data extraction, assembly, and transfer of broad datasets for analysis
- Contribute to cross-functional problem solving and generate actionable recommendations
Key requirements- Undergraduate degree in computer science, machine learning, statistics, mathematics, engineering, AI, or related field
- Strong academic background in database management and mathematics (linear algebra, calculus)
- Experience with statistical data analysis and data mining packages (R, SAS, SPSS, Alteryx, MatLab, STATA, Excel)
- Knowledge of data management tools including SQL/RDBMS, NoSQL (MongoDB), Hadoop or similar big data tech
- Programming skills in Python, R, and/or Java
- Experience connecting multiple data platforms (social media, open data) and data visualization tools (Tableau)
- Strong problem-solving, quantitative skills, and ability to identify root causes
- Ability to own database development and meet deadlines autonomously
- Excellent time management and ability to work in a largely autonomous environment
- Willingness to travel up to 80% and work in diverse environments
- Strong verbal and written communication skills in English and local office languages
- Intellectual curiosity
- Problem solving
- Strong communication
- Python
- R
- Java
