[Hiring] Senior Analytics Engineer @Mercury

Role Description

We’re hiring a Senior Analytics Engineer to help build the data foundation that accelerates Mercury’s transition to an AI-native analytics platform. 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.

• Design and build scalable data pipelines and business-conformed dimensional data marts in collaboration with Data Science, Engineering, Product, and Operations departments
• Support adoption of agentic tooling, self-service analytics workflows, Analytics Engineering skills, and dimensional data principles through implementation, education, and peer support
• Help implement the data and analytics products needed to effect the bank charter
• Contribute to the evolution of data quality, governance, and security strategies
• Contribute to the definition of Analytics Engineering best practice

Qualifications

• 4+ years of Analytics or Data Engineering experience
• Expertise working in a full modern data stack including Fivetran / Airflow / Snowflake / dbt / Omni / Hex or equivalents
• Proficient with SQL and have working experience with Python
• 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 stakeholders where they’re at and helping them succeed
• Discern what’s needed from what’s wanted to deliver maximum impact

Requirements

• Banking or financial services industry experience (strong candidates may additionally have)
• Experience with agentic development and/or analytics workflows
• Exposure to data governance, compliance, and security best practice
• Exposure to near real-time data pipelines like Kafka / NiFi or equivalents
• A full-stack mindset and willingness to solve problems end-to-end by flexing into Data Engineering and Data Analysis

Benefits

The total rewards package at Mercury includes base salary, equity, and benefits. Our salary and equity ranges are highly competitive within the SaaS and fintech industry and are updated regularly using the most reliable compensation survey data for our industry. New hire offers are made based on a candidate’s experience, expertise, geographic location, and internal pay equity relative to peers.

• US employees (any location): $166,600 - $208,300
• Canadian employees (any location): CAD 157,400 - 196,800

Company Description

Mercury is a fintech company, not an FDIC-insured bank. Banking services provided through Choice Financial Group and Column N.A., Members FDIC.

Mercury values diversity & belonging and is proud to be an Equal Employment Opportunity employer. All individuals seeking employment at Mercury are considered without regard to race, color, religion, national origin, age, sex, marital status, ancestry, physical or mental disability, veteran status, gender identity, sexual orientation, or any other legally protected characteristic. We are committed to providing reasonable accommodations throughout the recruitment process for applicants with disabilities or special needs. If you need assistance, or an accommodation, please let your recruiter know once you are contacted about a role.

We use Covey as part of our hiring and/or promotional process for jobs in NYC and certain features may qualify it as an AEDT. As part of the evaluation process we provide Covey with job requirements and candidate submitted applications.