Senior Associate - Enterprise Intelligence Analytics Engineer

Location Designation: Hybrid - 1 day per quarter 

Role Overview

The Analytics Engineer is a key contributor within the Enterprise Intelligence Data Services team, responsible for developing and maintaining the analytics foundations that power enterprise intelligence, reporting, and AI-driven decision-making. Working closely with senior analytics engineers, data engineers, and business stakeholders, this role helps transform enterprise data into trusted, accessible, and actionable information products.

This position combines technical expertise in data transformation and modeling with a strong focus on data quality, business understanding, and collaboration. The successful candidate will contribute to scalable analytics solutions, support reporting and intelligence initiatives, and continue building expertise in modern analytics engineering practices, cloud data platforms, and AI-enabled data ecosystems.

What You'll Do:

• Develop and maintain data transformation logic, data models, and analytics datasets using SQL, dbt, and modern analytics engineering practices to support enterprise reporting, analytics, and intelligence initiatives.

• Contribute to the implementation of data quality controls, testing frameworks, and documentation standards that improve the reliability, consistency, and usability of enterprise data assets.

• Support the development and maintenance of dashboards, reports, and business metrics by partnering with analytics teams and stakeholders to deliver actionable insights and trusted information products.

• Collaborate with engineering, analytics, and business teams to understand requirements, translate business needs into data solutions, and support the delivery of high-quality data products.

• Participate in Agile delivery activities, continuous learning opportunities, and cross-functional initiatives that enhance analytics engineering capabilities, data governance practices, and platform maturity.

What You'll Bring:

Required Skills

• Bachelor's degree and 1–3 years of experience in analytics engineering, data engineering, business intelligence, or a related technical field.

• Proficiency in SQL with the ability to write, troubleshoot, and optimize queries for data transformation, reporting, and analysis.

• Experience with dbt or similar data transformation tools and a foundational understanding of analytics engineering concepts and best practices.

• Knowledge of data warehousing principles, dimensional modeling concepts, and data quality management practices.

• Strong analytical, problem-solving, and organizational skills with attention to detail and a commitment to delivering accurate, reliable data solutions.

• Effective communication and collaboration skills, with the ability to work successfully across technical and business teams in a fast-paced environment.

Preferred Skills

• Exposure to cloud data platforms such as Google Cloud Platform (GCP), AWS, Databricks, BigQuery, or similar modern data ecosystems.

• Experience developing reports, dashboards, or data visualizations using tools such as Looker, Tableau, Power BI, or related platforms.

• Familiarity with Git, version control practices, Agile delivery methodologies, and collaborative software development workflows.

• Interest in artificial intelligence, machine learning, enterprise intelligence platforms, and the role of data in enabling advanced analytics and decision-making.

Pay Transparency

Salary Range: $90,000-$128,500 

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 Commitment to Inclusion
At New York Life, fostering an inclusive workplace is fundamental to who we are and how we serve our communities. We have a longstanding commitment to creating an environment where individuals can contribute their best and succeed together. This foundation is rooted in our core values of humanity and integrity, ensuring that every employee feels valued and supported. By embracing a broad range of perspectives and experiences, we achieve greater success and fulfill our promise of providing financial security and peace of mind to families across all communities. Click here to learn more about New York Life’s leadership in this space.​

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.

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Job Requisition ID: 94233