Data Science Senior Analyst - Growth, Marketing & Sales

About the Role

Key Responsibilities

• Collaborate with colleagues and clients to create new strategies across a wide platform of projects, including customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, and analytic transformation.
• Help expand the firm's analytics capabilities and architect new strategies and applications within a dynamic, innovative organization.
• Shape the future of data-driven organizations by driving processes for extracting and using data in creative ways.
• Create valuable, transformative business strategies through measurement, manipulation, reporting, and dissemination of broad sets of data.
• Apply and advise teams on advanced analytic and quantitative tools and modeling techniques to derive business insights, solve complex problems, and improve decisions.
• Conduct deep analytics on client and external data and play a lead role in team problem solving through findings and insights.
• Support the development of knowledge within the firm's analytics group, including creating roadmaps for understanding analytics impact and partnering with other analytics consultants.

Requirements

• Undergraduate or advanced degree in a quantitative discipline (e.g., Statistics, Mathematics, Econometrics, Operations Research).
• Strong academic qualifications, including advanced coursework in database management and math (Linear Algebra, Calculus).
• 2+ years of hands-on experience developing and applying predictive models and advanced statistical approaches in a corporate or consulting setting, preferably in marketing and sales.
• Experience in B2B or B2C environments is preferred.
• Proficiency in statistical data analysis and data mining packages (e.g., R, SAS, SPSS, Alteryx, MatLab, STATA, Excel).
• Advanced knowledge of data management tools including SQL/RDBMS, NoSQL (e.g., MongoDB), Hadoop, and/or other big data technologies.
• Advanced programming skills in at least one of Python, R, Java, with experience linking multiple data platforms (social media, open data, etc.) and data visualization tools (e.g., Tableau).
• Intellectual curiosity, excellent problem-solving and quantitative skills, including ability to disaggregate issues, identify root causes, and recommend solutions.
• Ability to independently own database development and decisions, balancing demands and deadlines.
• Strong communication skills and ability to explain technical content clearly.
• Strong people skills, team orientation, and a professional attitude.
• Ability to travel up to 75%.

Nice to Have

• Experience in B2B or B2C environments.

Qualifications

• Undergraduate or advanced degree in a quantitative discipline such as Statistics, Mathematics, Econometrics, or Operations Research.

Benefits & Perks

• Competitive salary based on location, experience, and skills.
• Comprehensive benefits package including medical, dental, mental health, and vision coverage for employees, spouses/partners, and children.