Senior Analytics Engineer

· Remote

Location

Remote

Type

Full Time

Job Description

AlloyJobs
Senior Analytics Engineer

Senior Analytics Engineer

Posted Yesterday
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New York City NY USA
Hybrid
198K-250K Annually
Senior level
Fintech • Information Technology • Software • Financial Services
We're a Series C tech company solving the identity risk problem for banks credit unions and fintech.
The Role
Lead analytics engineering efforts to design and build dbt models maintain a semantic/metrics layer ensure Snowflake performance establish modeling/testing/documentation standards partner with Data Science/Product/Engineering and deliver native warehouse data products to customers.
Summary Generated by Built In
Alloy is where you belong!

Alloy helps solve the identity risk problem for companies that offer financial products by enabling them to outpace fraud and confidently serve more people around the world. Over 800 of the world’s largest financial institutions and fintechs turn to Alloy to take control of fraud credit and compliance risk and grow with the clearest picture of their customers.

Through our values: Be Bold Go Fast Collaborate and Celebrate Our Differences we are creating a workplace where you can grow thrive and belong. See how we’ve been continuously recognized and named one of Inc. Magazine’s Best Workplaces Forbes America’s Best Startup Employers Best Fintech to Work for by American Banker year after year.

Check out our investors and read more about us here.

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 a growing investment in our semantic layer.

This is an early but high-leverage moment for Analytics Engineering at Alloy. We have the tooling the data and the leadership experience to build this function the right way — and this role is central to that effort. The person who joins will help establish the patterns standards and culture of Analytics Engineering here.

The strategic stakes are real: native warehouse data delivery is becoming a core part of how we serve customers agentic workflows depend on a well-maintained semantic layer and OLAP infrastructure is increasingly woven into our product stack. Analytics Engineering sits at the center of all three.

Alloy operates in a hybrid-work environment. We look to foster collaboration and community by having our local employees onsite three days a week.

What you'll be doing

As a Senior Analytics Engineer you will be a technical anchor for how Alloy models governs and exposes data. You'll 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 in a way that supports both internal consumers and emerging agentic tooling.
  • Partner with Engineering and Data Science to ensure our Snowflake data warehouse is 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

We're looking for a Senior Analytics Engineer who combines deep technical craft with the instincts of a cross-functional partner. You don't just model data—you think about how it will be used by whom and what it needs to look like to be genuinely useful. An ideal candidate has:

  • 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 layer or metrics layer (e.g. dbt Semantic Layer MetricFlow or similar).
  • A strong sense of data modeling fundamentals. You have opinions about when to denormalize how to handle slowly changing dimensions and what makes a model trustworthy.
  • Familiarity with data ingestion and CDC tooling; experience with Artie or similar streaming/replication tools is a plus.
  • The ability to partner effectively with Data Science Engineering and Product. You 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—you see that as opportunity not ambiguity.
  • Someone who embodies our shared Alloy values: be bold get scrappy collaborate and celebrate our differences.
  • Must be local to New York City; hybrid work with Tuesday-Thursday in-office at our 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.

We're a lean team so your impact will be felt immediately and opportunities will grow as the company scales up. If this all sounds like a good fit for you why not join us?

Alloy is committed to fair and equitable compensation practices. Below is the anticipated starting base compensation range for this role; however pay may vary depending on job-related knowledge in-demand skills relevant experience and/or geography. In addition to a competitive base salary this position is also eligible for equity awards in the form of stock options (ISOs) as well as a competitive total benefits package. Your recruiter will be happy to walk you through the details and what compensation could look like for you specifically!

This position has a salary range of $198000 - $250000.

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 annual stipend
  • Well-being benefits include access to ClassPass OneMedical UrbanSitter and Spring Health 
  • Hybrid work environment: employees are expected to work Tuesdays through Thursdays from our HQ in Union Square Manhattan. Tasty lunches catered from a variety of local restaurants and frequent employee-organized cultural events contribute to our positive office energy. On Monday/Friday most employees Zoom into work from home while some take advantage of the quieter office.
How to apply

Apply right here! You've found the application!

Alloy is proud to be an equal-opportunity workplace and employer. We’re 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.

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. If you’re ever unsure please contact us directly via our website before sharing personal information.

Skills Required

  • 5+ years of experience in analytics engineering data engineering or closely related role
  • Strong command of dbt
  • Strong SQL skills
  • 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)
  • Strong sense of data modeling fundamentals (denormalization slowly changing dimensions trustworthy models)
  • Familiarity with data ingestion and CDC tooling
  • Ability to partner effectively with Data Science Engineering and Product and translate between technical and non-technical stakeholders
  • Experience establishing standards for testing frameworks documentation practices naming conventions and code review processes
  • Must be local to New York City and able to work hybrid (Tues-Thurs in-office at Union Square HQ)
  • Experience with Artie or similar streaming/replication tools
  • 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)
  • Demonstrated alignment with company values (collaboration boldness scrappiness inclusion)

What the Team is Saying

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Eric
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Matt

Alloy Compensation & Benefits Highlights

  • Healthcare StrengthPremium medical dental and vision plans with HSA options are paired with mental-health support (Spring Health) One Medical access and wellness perks like ClassPass and free therapy. These offerings indicate depth beyond core coverage.
  • Retirement SupportA 401(k) with immediate vesting and a 4% company match is offered. This provides structured long-term savings support for employees.
  • Parental & Family Support16 weeks of paid parental leave for all parents is complemented by adoption assistance and an onsite Mother’s Room. Published support includes reproductive healthcare travel and certain reimbursements in the U.S.

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The Company
HQ: New York NY
315 Employees
Year Founded: 2015

What We Do

Alloy is the only end-to-end identity risk management platform for companies that offer financial products. Beginning with origination and account opening Alloy provides over 600 of the world's leading banks credit unions and fintechs with a scalable flexible platform to manage identity risk throughout the customer lifecycle. With configurable solutions for fraud credit and compliance risk dedicated expert guidance and the industry’s most extensive ecosystem of data partners Alloy helps companies deliver great financial products to more customers around the world.

Why Work With Us

Alloy is a tech company by category not by culture! We’re a diverse bunch of deeply talented people who embrace all genders races ethnicities and backgrounds. It starts with people-first leaders using Alloy's 4 core values as a guiding light and creating an inclusive culture where folks can be themselves & grow while doing their best work.

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Alloy Offices

Hybrid Workspace

Employees engage in a combination of remote and on-site work.

Typical time on-site: Flexible
HQNew York NY
Located in a perfect spot near downtown Alloy HQ is in the midst of all that NYC has to offer with endless lunch spots things to do and plenty of happy hour options. We're a 3-minute walk from Union Sq a central hub for convenient commutes.

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Date Posted

07/08/2026

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