Senior Analytics Engineer

Genius AI (HearstLab); New York (NY); On-site; USD 140,000 - 190,000; Full time

Benefits offered by this job

Competitive health & dental insurance

Flexible PTO

In‑office lunch NYC/SF

Wellhub wellness platform access

Annual professional development Stipd

Bonus at 5 years to recharge

401k from day 1

Dependent Care FSA

Paid parental leave

Fertility and adoption benefits

Job summary

Genius AI is seeking a Senior Analytics Engineer to own how data is modeled, defined, and trusted across the business, partnering across product, design, and engineering. You will design and maintain the dbt project, ensure data quality, and enable AI-driven decision making for scalable insights in NYC and across teams.

You will work with Snowflake, dbt, and a modern data stack to turn raw data into trustworthy datasets, building automated tests, documentation, and robust data workflows while

Qualifications

• 5+ years of experience as an analytics engineer, data engineer, or reporting engineer, with 2+ years of hands-on dbt development.
• Experience building AI-assisted workflows for modeling, testing, or documentation.
• Strong bias for action, shipping quickly, and iterating.
• Advanced SQL proficiency with scalable data models.

Responsibilities

• Own the architecture of the dbt project, including design patterns and modeling standards.
• Partner with product, design, and engineering to support features and validate metrics.
• Design and build data solutions with data requests from Marketing, RevOps, Sales, and Finance.
• Build, refactor, and optimize dbt models turning raw data into scalable datasets.
• Use AI to build automated testing, documentation, and data workflows.
• Collaborate with data engineering to shape ingestion and transformation pipelines.
• Drive data privacy, governance, and quality standards.

Skills

Advanced SQL

Data modeling

Analytics engineering

AI-assisted workflows

Tools

Snowflake

dbt

Hex

Segment

Matia

Fivetran

Airflow

Job description

Genius AI is seeking a Senior Analytics Engineer to own how data is modeled, defined, and trusted across the business. This role sits at the intersection of data and business, curating data to drive insights, strategy, and decision making. As our agentic products scale and our architecture evolves, the dbt project you design will set the standard for understanding customer behavior and powering AI-driven decisions. You will write the playbook, ship changes quickly, and challenge existing processes.

Responsibilities will include:

• Own the architecture of the dbt project, including design patterns, modeling standards, and best practices to create efficient, effective data models leveraged across the business
• Partner with product, design, and engineering teams to support new features and architectural changes by reviewing design docs, updating dbt models as data sources evolve, and validating metrics, reports, and downstream consumers
• Work with business partners in Marketing, RevOps, Sales, and Finance to scope data requests, gather requirements, and design and build data solutions (rETLs, data models, metrics, reporting)
• Build, refactor, and optimize dbt models that turn raw product and customer data into accurate, scalable datasets, connecting ideas across all data models and correcting quickly when needed
• Use AI to build automated testing, documentation, and data workflows that scale and free your judgment for complex problems
• Collaborate with data engineering to shape ingestion and transformation pipelines across Snowflake, dbt, Segment, Matia, Fivetran, and Airflow as we move toward a service-oriented architecture
• Drive data privacy, governance, and quality standards to protect the integrity of customer data

You’re a great fit if you:

• Have 5+ years of experience as an analytics engineer, data engineer, or reporting engineer, with 2+ years of hands‑on dbt development
• Have built AI‑assisted workflows for modeling, testing, or documentation
• Default to action, setting direction, shipping, and iterating quickly
• Have advanced SQL proficiency and a track record of writing fast, readable models as data volume grows
• Have hands‑on experience with data modeling, ETL/ELT development, and data warehousing concepts
• Are familiar with our stack (Snowflake, dbt, Hex, Segment, Matia, Fivetran, Airflow) (preferred)

Total Compensation

Competitive salary and benefits.

Additional benefits include:

• Competitive health & dental insurance options, effective on your first day
• Flexible PTO
• In‑office lunch twice per week for NYC and SF employees, plus late night dinner stipends
• Access to Wellhub, a corporate wellness platform with discounted gym memberships, fitness classes, and mental health resources
• Annual stipend for professional development and continued learning
• High performers at 5 years receive a $5,000 bonus to use however you recharge best
• 401k benefit: employees are eligible to contribute starting day 1
• Dependent Care FSA
• Paid parental leave
• Fertility and adoption benefits via Carrot and Kindbody

Genius AI is committed to creating a workplace where all employees feel supported and empowered to do their best work. Genius AI is proud to be an Equal Opportunity and Aff