Senior Associate, Advanced Analytics

Location Designation: Hybrid - 3 days per week 

 

Our New York Life culture has laid the foundation for over 175 years of commitment to our employees, agents, policy owners, and the communities where we live and work. Here you become a valued part of a welcoming, inclusive, and caring organization with a long-standing legacy in stability and growth. The strength revolves around our diversified, multi-dimensional business portfolio that goes beyond life insurance.

 

As a Fortune 100 company and industry leader, we provide an environment where you can explore your career ambitions, offering opportunities to tackle meaningful challenges and stretch your skills while balancing work and life priorities.  You will be part of an inclusive team guided by our belief to always be there for each other–providing the support and flexibility to grow and reach new heights while making an impact in the lives of others.

 

You are our future, and we commit to investing in you accordingly.

Do you enjoy problem solving and thrive in an environment where you have freedom and autonomy to develop solutions?  Are you an innovative, outside-the-box thinker who is eager to be part of transformational initiatives that raise an organization’s profile as an analytic competitor?  If you answered yes to these questions, you might be a great fit for our team.

 

Role Overview:
This position reports to the Marketing and Sales Lead Data Scientist in New York Life’s Retail Annuities business.  As a member of the Product Solutions Analytics team, you have the unique opportunity to leverage your data mining and analytics skills to uncover business opportunities and help shape the strategic direction of the Retail Annuities business.  We have a wealth of data available at our fingertips, and we are looking for your help to unlock its full potential.    

What You'll Do:
• Solve complex questions that may require innovative framing, rigorous deep-dives and/or statistical analysis
• Utilize your data mining and segmentation skills to identify new strategic opportunities for the Product Solutions value stream, with a focus on Retail Annuities Marketing and Sales
• Partner with members of Marketing and Sales to identify their analytical needs, then develop and deliver data-driven solutions
• Promote a test & learn strategy by assisting with audience segmentation, experimental design, campaign tests, measuring results and effectiveness, and recommending improvements based on your findings to optimize campaigns/strategies
• Collaborate with other analysts and data scientists within the Product Solutions Analytics team as well as in other analytics departments to share best practices, leverage analytical techniques, and champion an organizational culture where data is central to decision making

What You'll Bring:
• Passion for data, with a curious mindset and a knack for problem solving
• Highly autonomous, independent and innovative thinker
• 4+ years of experience in an analytical role, where data analysis is a significant part of job function
• Experience executing multiple end-to-end analytics projects, with demonstrated ability in each of the following areas:
• Framing the analysis
• Sourcing data from the appropriate databases
• Analyzing data through segmentation, visualizations, and statistical analysis
• Acquiring insights and developing recommendations
• Communicating results via presentations and PowerPoint decks
• Proven experience preparing and building an analysis from large datasets
• Proficiency with at least one statistical software packages (e.g., R, Python)
• Proficiency with data querying languages (e.g., SQL)
• Proficiency with data visualization and self-service tools (e.g., Tableau)
• Excellent communication skills
• Preferred: Experience with web analytics and CRM data
• Preferred: Experience with analytic techniques including:     
• Predictive modeling & supervised learning techniques
• Statistical analysis (e.g., t-tests, confidence intervals)
• Experimental design (control groups, sample size calculations)

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Pay Transparency

Salary Range:  $100,000-$150,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes