The company is looking to solve complex and pressing challenges in marketing and sales, such as customer life-cycle management, MROI, pricing and promotions, marketing mix modeling, and analytic transformation, by creating new strategies and applications within a dynamic innovative organization.
Requirements
- 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
- Experience with data visualization tools (e.g., Tableau)
- Strong understanding of database management and math (Linear, Algebra, Calculus)
- Experience developing and applying predictive models and other advanced statistical approaches
- Familiarity with linking multiple data platforms (social media, open, etc)
Responsibilities
- Collaborate with colleagues and clients to create new strategies across a wide platform of projects
- Help to expand current analytics capabilities and architect new strategies and applications
- Apply and advise teams on the state-of-the-art advanced analytic and quantitative tools and modeling techniques
- Conduct deep analytics on a broad set of client and external data
- Play a lead role in team problem solving through findings and insights from analysis
- Create valuable, transformative business strategies through the measurement, manipulation, reporting and dissemination of broad sets of data
- Derive business insights, solve complex business problems and improve decisions using advanced analytic and quantitative tools and modeling techniques
Other
- Undergraduate or advanced degree in a quantitative discipline (i.e. Statistics, Mathematics, Econometrics, Operations Research)
- Ability to travel up to 75%
- Strong people skills, team-orientation, and a professional attitude
- Distinctive communications skills and ability to communicate technical content in an easy to understand way
- Ability to independently own database development and decisions, balancing demands and deadlines
