Mercury

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Senior Analytics Engineer

Region Restricted

Remote work allowed only within certain countries or regions.

Employer listed it 3 weeks ago · Added 3 weeks ago

Been open since 3 weeks ago, still being checked, but it has been live a while.

Salary

$166,600 to $208,300

Location

Timezone

US East

Contract

Full-time

Experience

Senior

What the advert says

Quoted word for word from the employer's advert. Where it says nothing, we say so.

Working hours: Not mentioned in the advert
Where you can work from: Location eligibility not confirmed
Contract: Not mentioned in the advert
Experience asked for: Not mentioned in the advert
Pay: Total Rewards The total rewards package at Mercury includes base salary, equity (stock options/RSUs), and benefits.

Remote flexibility

Region Restricted

Remote work is allowed, but only for candidates based in United States, Canada.

What the employer says

Source listing states candidate location: "San Francisco, CA, New York, NY, Portland, OR, or Remote within Canada or United States, Any Office or Remote"

What Nomaders makes of it

Applications outside the listed area are usually rejected
Timezone overlap with the listed area is often expected

The quotes above are the employer's own words; the reading is ours. Always check the original listing and employment terms before working from another country.

Before you apply

Questions worth asking: Nomaders interpretation

The advert does not say where you can be based. Ask which countries they can legally employ or contract you from.
The advert does not say whether this is employment or a contractor arrangement. Ask, as it affects tax and benefits.

Produced automatically from this advert's text; not reviewed by a person. The employer's own page is the final word.

About the role

In 1989, Tim Berners-Lee wrote a proposal for CERN. CERN lost knowledge when people left, because its information was in many systems that did not connect. His solution was simple: link documents so that all people can find them and use them. That proposal became the World Wide Web.

Mercury has a similar challenge with data. Teams, models, and AI agents need data that they can find, understand, and trust. We are building an AI-native data platform that enables Mercury to have reliable analytics, accelerate product development, and enable the next generation of AI-powered products and internal tools.

We are hiring a Senior Analytics Engineer to help us accelerate. You’ll join a team of high-performing Data and Analytics Engineers building the shared foundations that power decisioning, automation, and measurement across the company, collaborating closely with Data Scientists and partners in Product, Engineering, and Operations. Your curiosity and bias toward action will drive meaningful impact as you build durable data products, unlock faster experimentation, and help teams ship propensity models, agentic workflows, and amazing data-driven experiences for our customers. Come grow with us.

Responsibilities:

Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments

Support the development and adoption of agentic tooling. We have our own AI Data Analyst (Hermes) and dbt Agent (Ralph) that are built and managed by our Analytics Engineers

Support self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support

Help us implement the data and analytics products we’ll need to effect our bank charter

Contribute to the evolution of our data quality, governance, and security strategies

Contribute to our definition of Analytics Engineering standards and best practices

You may be a good fit if you:

Have 4+ years of Analytics or Data Engineering experience

Have expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents

Are proficient with SQL and have working experience with Python

Proficient using AI agents to accelerate your and your teammates’ work

Have experience with dimensional data modeling principles and building data for scale

Treat data products as a platform by prioritizing reusable, scalable deliverables

Deliver readable code, strong tests, and quality documentation

Experiment responsibly and share what you learn so everyone benefits

Practice relentless empathy by meeting your stakeholders in Data, Product, Engineering, and beyond where they’re at and helping them succeed

Discern what’s needed from what’s wanted to deliver maximum impact

Strong candidates may additionally have:

Banking* or financial services industry experience

Experience with agentic development and/or analytics workflows

Requirements

The employer hasn't listed requirements separately, they're described in the role summary above and on the original listing.

Benefits

·Practice relentless empathy by meeting your stakeholders in Data, Product, Engineering, and beyond where they’re at and helping them succeed
·Discern what’s needed from what’s wanted to deliver maximum impact
·Strong candidates may additionally have:
·Banking* or financial services industry experience
·Experience with agentic development and/or analytics workflows

How to apply

1Check the flexibility label above, region restricted, matches where you plan to live and work.
2Tailor your CV to the role at Mercury, mentioning your remote working experience and working hours (US East).
3Apply directly on the employer's careers page using the button below. Nomaders never handles your application.

Found 22d ago. Last checked today. Always confirm the details on the original posting, salary and location can change after publication.

Listing sourced from Company boards.