Senior Associate - Enterprise Intelligence Analytics Engineer
Senior
Analytics
Big Data
Business Analytics
Business Intelligence
Data Analysis
Data Analytics
Data Architecture
Data Build Tool
Data Governance
Data Integration
Data Management
Data Modeling
Data Pipeline
Data Pipelines
Data Platform
Data Processing
Data Quality
Data Visualization
Data Viz
Data Warehouse
Database
Databases
Databricks
Dataviz
Looker
Power BI
Reporting and Analytics
SQL
Tableau
Job Description
New York Life is seeking a Senior Associate in Enterprise Intelligence Analytics Engineering in New York, NY. This hybrid role centers on building and sustaining analytics foundations that power enterprise intelligence, reporting, and AI-enabled decision-making, collaborating with data engineers, analytics engineers, and stakeholders to transform data into trusted information products.
Responsibilities
- Design and sustain data transformation pipelines, data models, and analytics datasets using SQL, dbt, and modern analytics engineering practices to support enterprise reporting, analytics, and intelligence initiatives.
- Help implement data quality controls, testing frameworks, and documentation standards that enhance reliability, consistency, and usability of enterprise data assets.
- Assist in developing and maintaining 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 deliver high-quality data products.
- Participate in Agile delivery activities, continuous learning opportunities, and cross-functional initiatives that advance analytics engineering capabilities, data governance practices, and platform maturity.
Requirements
- 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 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.
Technologies
- SQL
- dbt
- Google Cloud Platform (GCP)
- AWS
- Databricks
- BigQuery
- Looker
- Tableau
- Power BI
- Git
Benefits
- Leave programs
- Adoption assistance
- Student loan repayment programs
Pay Transparency
- Salary Range: $100,000-$143,000
- 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.
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