Senior Associate, GuideMe Analytics & Modeling

Remote, NY, US

New York Life Insurance Co

Protect and build your future with comprehensive one-on-one guidance from New York Life. Learn about our life insurance and financial product offerings.

View all jobs at New York Life Insurance Co

Location Designation: Fully Remote 

 

Role Overview:

New York Life’s protection-first advice and guidance methodology takes a holistic approach to providing sound financial advice.  Our GuideMe platform is the digital planning ecosystem that helps our agents bring this approach to life – designed to modernize our agents’ case design and presentation abilities to meet the evolving expectations of modern consumers.

 

GuideMe client data drives individual algorithms and outcomes, as well as platform-level value and opportunities - the Senior Associate will be responsible for development and optimization of both of these spaces.

 

What You’ll Do:

  • Present complex data in clear, understandable formats to identify patterns, trends, and correlations.
  • Integrate data from multiple sources to provide actionable insights.
  • Analyze GuideMe data and communicate results through impactful visualizations.
  • Provide timely data to support senior leadership decision-making.
  • Develop and optimize GuideMe algorithms – particularly using a data-driven approach.

What You’ll Bring:

  • Proficiency in data visualization for storytelling.
  • Degree in Data Science, Statistics, Business Analytics, or related field.
  • 5+ years of experience with SQL, business intelligence tools (e.g., Tableau, PowerBI), and Big Data tools (e.g., Hadoop, Hive, Spark).
  • Strong analytical skills in Excel; experience with R, Python, or similar programming languages preferred.
  • Expertise in data visualization and relational databases for generating insights from large datasets.
  • Ability to find creative solutions and manage multiple priorities.
  • Experience in modeling and familiarity with insurance, financial products, and consumer financial planning is a plus.

Pay Transparency

Salary Range:  $85,000-$125,000 

Overtime eligible: Exempt 

Discretionary bonus eligible: Yes 

Sales bonus eligible: No 

 

Actual base salary will be determined based on several factors but not limited to individual’s experience, skills, qualifications, and job location. Additionally, employees are eligible for an annual discretionary bonus. In addition to base salary, employees may also be eligible to participate in an incentive program.

 

Our Benefits

We provide a full package of benefits for employees – and have unique offerings for a modern workforce, including leave programs, adoption assistance, and student loan repayment programs. Based on feedback from our employees, we continue to refine and add benefits to our offering, so that you can flourish both inside and outside of work. Click here to discover more about our comprehensive benefit options or visit our NYL Benefits Site.

 

Our Diversity Promise

We believe in a diverse workforce because it is our mission to advocate for the financial security and success of people in every community. This is why diversity, equity, and inclusion (DEI) are guiding principles that are embedded in our brand and our culture. Click here to learn more about how we have been recognized for our leadership.

 

Recognized as one of Fortune’s World’s Most Admired Companies, New York Life is committed to improving local communities through a culture of employee giving and volunteerism, supported by the Foundation. We're proud that due to our mutuality, we operate in the best interests of our policy owners. To learn more about career opportunities at New York Life, please visit the Careers page of www.NewYorkLife.com.

 

 

Job Requisition ID: 90982

 

 

 

Job stats:  1  0  0
Category: Analyst Jobs

Tags: Big Data Business Analytics Business Intelligence Data visualization Excel Hadoop Power BI Python R RDBMS Security Spark SQL Statistics Tableau

Perks/benefits: Career development Equity / stock options Salary bonus

Regions: Remote/Anywhere North America
Country: United States

More jobs like this