Analytics Engineer

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 Qualifications

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.