Lead Analytics Engineer

Chobani•New York, NY

2d•$105,500 - $166,100

About The Position

The Lead Analytics Engineer (L3) is responsible for driving analytics engineering initiatives and delivering high-quality data models that enable data-driven decision making across the organization. This role requires deep technical expertise in analytics engineering, strong independent execution capabilities, and exceptional cross-functional collaboration skills. The Lead Analytics Engineer will report to the Senior Manager of Analytics Engineering and serve as a key technical contributor and partner to business stakeholders, data analysts, and engineering teams.

Requirements

Bachelor's degree in a quantitative field (Computer Science, Statistics, Mathematics, Data Analytics) or equivalent experience.
5+ years of experience in analytics engineering, data analytics, or related roles with increasing technical responsibility.
Expert-level SQL skills with deep understanding of data modeling, dimensional modeling, and database optimization techniques.
Strong hands-on experience with dbt including macros, packages, testing frameworks, and deployment workflows.
Proven ability to work independently, manage multiple priorities, and deliver high-quality results with minimal supervision.
Exceptional cross-functional collaboration skills with demonstrated success partnering with business stakeholders to solve complex problems.
Strong communication skills with the ability to translate business requirements into technical specifications and explain technical solutions to diverse audiences.
Experience with data warehousing platforms (Snowflake, BigQuery, Redshift) and version control systems (Git).
Understanding of data pipeline concepts, orchestration tools, and the broader data ecosystem.
Self-motivated learner with a track record of staying current with analytics engineering best practices and emerging technologies.
Ability to balance technical excellence with business impact, making pragmatic trade-offs when necessary.
Proven ability to work collaboratively with cross-functional teams and translate business requirements into technical solutions.

Responsibilities

Designing, developing, and maintaining scalable data models and transformations using dbt and SQL to support analytics and reporting needs.
Independently owning end-to-end analytics projects from requirements gathering through deployment and documentation.
Partnering closely with business stakeholders, data analysts, and product teams to understand analytical requirements and translate them into robust data solutions.
Building and optimizing semantic layers, metrics frameworks, and reusable data models that serve as the foundation for self-service analytics.
Establishing and enforcing analytics engineering best practices including testing, version control, code reviews, and documentation standards.
Collaborating with data engineers to ensure efficient data pipeline integration and with BI teams to enable effective reporting and visualization.
Proactively identifying data quality issues, implementing data tests, and monitoring model performance to ensure reliability.
Communicating technical concepts effectively to both technical and non-technical audiences, including presenting solutions and trade-offs to stakeholders.
Contributing to the analytics engineering roadmap by identifying opportunities for process improvements and technical innovations.
Mentoring junior analytics engineers and analysts on SQL, dbt, and analytics engineering principles.

Benefits

medical
dental
vision coverage
disability insurance
health savings account
flexible spending accounts
tuition reimbursement
401k match of 100% on up to 5% of eligible pay
fertility assistance
childcare assistance
12 weeks of parental leave at full pay after six months of continuous employment
employee assistance program
fitness discounts
wellness reimbursement
on-site gym access (certain locations)
monthly wellness newsletter
120 hours of paid time off
11 holidays
paid volunteer time off