Decision Sciences Analyst

Key Skills

Java Programming, Python Programming, C++, C Programming, SQL, Cloud computing, Scala Programming, Machine learning techniques, Data science techniques, MATLAB Programming, PyTorch, TensorFlow, R Programming

Job Description

Who You Are and What You'll Do 

In your position as Decision Sciences Analyst, you'll play an integral part of a team responsible for delivering data-driven, actionable customer insights that directly contribute to increased sales/profit through our clients’ customer loyalty programs.

You'll bring your experience with a breadth of marketing techniques, an ease of working with customer data, and an understanding of advanced mathematics and statistical techniques. This position is a client-facing, hands-on role that is responsible for helping shape our clients’ strategic direction for their loyalty initiatives.

Your Day to Day

• Play a key role as part of a team responsible for delivering data-driven, actionable customer insights that directly contribute to increased sales/profit through our clients’ customer loyalty programs.?
• Provide actionable recommendations that drive business objectives by drawing out key insights from in-depth, complex data sources based on a thorough understanding of client’s strategy, success criteria, and program objectives
• Develop data visualizations and narratives that make data and analysis consumable by all levels and expertise of internal and external stakeholders
• Collaborate with Data Engineering and Data Science teams to design and develop new tools, models, and data sources to support our client’s business objectives and overcome challenges
• Proactively create learning agendas, test plans, and solutions that make attribution unassailable and maximize key KPIs such as incremental ROI and LTV 
• Manage workflow, scope and prioritization of client requests and Kobie investments

Knowledge, Skills and Experience That Will Help You Be Successful in this role:

• 2-4+ years previous relevant customer analytics and/or marketing/CRM experience 
• Great storyteller with data that is able to influence senior stakeholders with insights and recommendations
• Demonstrated success using customer segmentation techniques such as RFM, cluster analysis and regression modeling to drive targeted marketing 
• Solid project management skills and experience in juggling multiple projects at a time 
• Bachelor’s Degree in Statistics, Marketing, Economics, or Computer Science 

Additional Experience that Will Help You Stand out as a Candidate:

• Python/SQL programming experience 
• Master’s in Statistics, Economics or Applied Mathematics, or MBA 
• Proficiency in fundamental marketing and loyalty principles
• Familiarity with data exploration and data visualization tools like Tableau or PowerBI 

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