Senior Analytics Engineer

Alloy; New York (NY); Hybrid; USD 198,000 - 250,000; Full time

Benefits offered by this job

Unlimited PTO

Employee stock options

Medical, dental, vision plans with HSA

401k with 100% match up to 4%

Parental leave

Home office stipend

Learning & Development stipend

Well-being benefits: ClassPass, OneMed

Job summary

Alloy is seeking a Senior Analytics Engineer to anchor how data is modeled, governed, and exposed to internal teams and customers. You will work with Data Science, Product, Engineering, and client-facing groups to ensure data assets are trustworthy and scalable.

You’ll design robust dbt models as the authoritative analytics foundation, own the semantic layer, and collaborate on Snowflake design, performance, and data delivery.

Qualifications

• 5+ years in analytics engineering or data engineering.
• Strong command of dbt, SQL, and data warehousing.
• Experience building semantic or metrics layers.
• Ability to translate technical concepts to non-technical stakeholders.
• Experience with cloud data platforms (Snowflake) and streaming/CDC tools is a plus.

Responsibilities

• Design and build robust dbt models that serve as the authoritative foundation for analytics and data products.
• Own and evolve our semantic layer, defining metrics, dimensions, and business logic.
• Partner with Engineering and Data Science to keep Snowflake well-structured and performant.
• Establish and champion best practices for data modeling, testing, documentation, and code review.
• Collaborate with client-facing and product teams to deliver native warehouse data delivery to customers.
• Identify and address data quality issues, building observability and governance frameworks.
• Influence how Analytics Engineering is practiced at Alloy.

Skills

Data modeling

Stakeholder communication

Analytical thinking

Mentoring/leadership

Education

Bachelor's degree in a related field

Tools

dbt

Snowflake

Artie

Semantic layer

Looker/Tableau

Job description

About The Team

The Data Platform team sits within Alloy's Intelligence vertical and owns the infrastructure that powers how data is modeled, governed, and delivered—both internally and to customers. We work at the intersection of data engineering and analytical depth, with a stack built around dbt, Snowflake, and Artie, and we are investing in our semantic layer.

This is an early but high‑leverage moment for Analytics Engineering at Alloy. You will help establish the patterns, standards, and culture of Analytics Engineering here and play a central role in building our data-driven product stack.

Alloy operates in a hybrid‑work environment. Employees are expected to be onsite three days a week.

What You’ll Be Doing

As a Senior Analytics Engineer, you are a technical anchor for how Alloy models, governs, and exposes data. You will work closely with Data Science, Product, Engineering, and client‑facing teams to ensure our data assets are trustworthy, well‑documented, and built for scale.

• Design and build robust dbt models that serve as the authoritative foundation for analytics, machine learning features, and customer‑facing data products.
• Own and evolve our semantic layer, defining metrics, dimensions, and business logic that support internal consumers and emerging agentic tooling.
• Partner with Engineering and Data Science to keep our Snowflake data warehouse well‑structured, performant, and aligned with product needs.
• Establish and champion best practices for data modeling, testing, documentation, and code review across the team.
• Collaborate with client‑facing and product teams to scope and deliver native warehouse data delivery to customers.
• Identify and address data quality issues proactively, building the observability and governance frameworks that keep data trustworthy at scale.
• Influence how Analytics Engineering is practiced at Alloy—this is a greenfield opportunity to set the standard.

Who We’re Looking For

• 5+ years of experience in analytics engineering, data engineering, or a closely related role, with a strong command of dbt and SQL.
• Hands‑on experience with Snowflake or a comparable cloud data warehouse, including performance tuning and warehouse design.
• Experience building or maintaining a semantic or metrics layer (e.g., dbt Semantic Layer, MetricFlow).
• A strong sense of data modeling fundamentals and the ability to make informed decisions about denormalization, slowly changing dimensions, and model trustworthiness.
• Familiarity with data ingestion and CDC tooling; experience with Artie or similar streaming/replication tools is a plus.
• Strong partnership skills—able to translate between technical and non-technical stakeholders without losing precision.
• Experience establishing standards: testing frameworks, documentation practices, naming conventions, and review processes that teams actually follow.
• Comfort working in an environment where the function is still being shaped.
• Alignment with Alloy values: be bold, get scrappy, collaborate, and celebrate our differences.
• Must be local to New York City; hybrid work with Tuesday–Thursday onsite at Union Square HQ.

Nice to Have’s

• Experience with native warehouse data delivery or data sharing patterns (e.g., Snowflake Data Sharing, Marketplace).
• Background in fintech, financial services, or a similarly data‑intensive regulated industry.
• Exposure to agentic or LLM-based workflows and the data infrastructure that supports them.
• Experience with BI tooling (e.g., Looker, Tableau) and how semantic layer investments connect to the presentation layer.

Benefits and Perks

• Unlimited PTO and flexible work policy
• Employee stock options
• Medical, dental, vision plans with HSA (monthly employer contribution) and FSA options
• 401k with 100% match up to 4% of annual employee compensation
• Eligible new parents receive 16 weeks of paid parental leave
• Home office stipend for new employees
• Annual Learning & Development stipend
• Well‑being benefits: access to ClassPass, OneMedical, UrbanSitter, and Spring Health

Alloy is committed to fair and equitable compensation practices. Salary range for this role is $198,000 – $250,000. The position is also eligible for equity awards (ISOs) and a competitive total benefits package.

All Alloy jobs are listed on our careers page. Any communication during the recruitment process, including interview requests or job offers, will come directly from a recruiting team member with an alloy.com email address. We do not use outside applications or automated text messaging in our recruiting process. We will not ask for any sensitive financial or identification information during the recruiting process.

Alloy is proud to be an equal‑opportunity workplace and employer. We are committed to equal opportunity regardless of race, color, ancestry, religion, gender, gender identity, parental or pregnancy status, national origin, sexual orientation, age, citizenship, marital status, disability, or veteran status. We are committed to an inclusive interview experience and provide reasonable accommodations to applicants with visible and invisible disabilities. We encourage applicants to share needed accommodations with their recruiter.