Analytics Engineer

Job Title

Analytics Engineer

Summary

Join Aperia Solutions, a leader in SaaS solutions for the Payments and Compliance industries. Aperia is a Texas-based fintech and managed consultancy firm that creates custom SaaS applications and other software-based solutions for the payments, banking, and processing industry. Founded in 1999, Aperia offers business intelligence, risk management, compliance, and customer intelligence platforms. With offices in Dallas, Washington DC, and Vietnam, Aperia is a fast-paced, global organization that strives to improve efficiency in compliance, risk, and customer service operations. Aperia’s clients include banks, processors, payment facilitators, merchant service providers, independent sales organizations, and government entities. A career at Aperia promises a great challenge, culture, and opportunities to forge your own path.

What a Successful Analytics Engineer Does

Designs the merchant data foundation and model while it's still taking shape, builds analytics from scratch, and owns things end-to-end on a small, high-impact team

Goes deep into datasets, shapes infrastructure, and sees your work drive the business directly in a fast-moving environment

Operates across the full spectrum of data engineering (~10%), analytics engineering (~80%), and business intelligence (~10%), and serves as a core technical point of contact for business stakeholders

Handles regular and evolving ad hoc requests - often from senior management with imperfect data

Turns high level requirements and business needs into reliable pipelines that make analytics frictionless for downstream users

Does dimensional/semantic data modeling, performance tuning, and creates clean, consumable datasets

Designs, builds, and operates analytics pipelines with testing and monitoring built in

Builds analytics from the ground up while the underlying data model is still being defined, and helps define it

Discovers, evaluates, and onboards new datasets; manages connectors and ingestion methods

Integrates source systems into our central Snowflake platform and troubleshoots failures, latency, and data quality issues

Handles unpredictable, deep ad hoc requests in a high paced environment with imperfect data

Requirements

Bachelor's degree in computer science, business analytics, engineering, or a related field

4+ years designing data models and pipelines, and handling ad hoc analytics requests

Advanced SQL and Python

Strong Snowflake experience (ingestion, transformations, access patterns, governance basics) and can operate independently

Proven ability to break ambiguous problems into structured, solvable components

Strong analytical and systems-design skills

High-ownership, proactive, and able to run multiple workstreams and follow through without constant direction

Someone who digs into the why behind a request - a real problem-solver who delivers

Preferred Q ualifications

Snowflake SnowPro Core Certification

Familiarity with geospatial data

CI/CD pipeline development experience

Experience in a fast-paced, technical, and contribution-oriented environment

Eligibility Requirements

Must be willing to submit to a background investigation and drug test as part of the selection process.

This position is not eligible for visa sponsorship. Applicants must have authorization to work in the country without the need for sponsorship.

Job Type

Full-Time

Schedule

Monday to Friday

Location

On-site in New York City, NY

Benefits

Health insurance

Health savings account

Dental insurance

Vision insurance

401(k) matching

Life insurance

Paid time off

Parental leave

Disability insurance

Childcare assistance

Education reimbursement

Fitness membership

Volunteer time off

This job description is not intended to be all-inclusive. An employee may also perform other reasonable related business duties as assigned by their immediate supervisor or management. Principals only.

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