Data Analyst: AI Pipelines & Looker Ownership

Energy Innovation Corp; Layton (UT); On-site; USD 74,000 - 109,000; Full time

Job summary

Merck is seeking a mid-level engineer to help build and scale our Looker-based platform in Layton, UT. You will document decisions, architecture, and APIs while owning critical edge cases in billing-related workflows.

You will work on data pipelines handling millions of events and translate business requirements into actionable technical tasks. This role offers mentorship designed to sharpen your R and Excel skills over time, with a culture that prioritizes shipping impact over busy work.

Qualifications

• R aptitude, ideally near Layton, UT
• Calm under the service-minded chaos a mid-level role tends to generate
• Willingness to commute to Layton, UT or work flexibly as needed
• Confident communicator across email, calls, and in-person meetings
• An UT work history, or strong reasons you'll thrive here anyway
• The discipline to document while it's fresh, not after it's forgotten
• Sharp written and verbal communication, tested under scrutiny

Responsibilities

• Document technical decisions, architecture, and APIs for the broader org
• Translate the data-honest Excel outage into fixes that make the next Layton launch dull
• Own the edge cases in Merck's Written Communication billing
• Scale data pipelines processing millions of events with Written Communication
• Translate business requirements into technical specifications and tasks
• Stress-test Generative AI systems and harden where needed
• Monitor system health and set up alerting for production environments
• Slice the ownership-driven technology monolith into services Layton, UT can deploy alone

Skills

R

Communication

Written communication

UT work history

Job description

Merck is seeking a mid-level engineer to help build and scale our Looker-based platform in Layton, UT. You will document decisions, architecture, and APIs while owning critical edge cases in billing-related workflows.

You will work on data pipelines handling millions of events and translate business requirements into actionable technical tasks. This role offers mentorship designed to sharpen your R and Excel skills over time, with a culture that prioritizes shipping impact over busy work.