Analytics Engineer
Myriad360 · Engineering · Mid · 12d ago
Open to any country, as long as your working hours sit between UTC-5 and UTC-4.
Applies on the original listing · via Himalayas
Who can apply
Read straight from the listing, so you know before you spend time on it.
Open to any country, as long as your working hours sit between UTC-5 and UTC-4.
“Remote - International Working Hours - US Eastern Hours from Monday to Friday at 9am - 5pm”
Requires working Monday to Friday, 9am to 5pm US Eastern Time.
- Async-first
- The listing doesn't promise async-first working.
- Contractor / B2B
- No mention of hiring international contractors or invoicing.
- Global stipend
- No home office or equipment budget mentioned.
- Annual retreat
- No company-paid get-togethers mentioned.
Read from the listing automatically. Always confirm the details with the company before you accept an offer.
About the role
Reporting to the Director of Enterprise Data & Analytics, you will collaborate with business teams, analysts, and data engineers to develop governed data models and reusable data products that power reporting and automations. You will establish shared metric definitions, build dbt models and tests, and continuously improve how data products are documented, released, and maintained across the organization.
What you'll do
- Build and maintain dbt models and certified data marts for core business domains.
- Collaborate with business partners and analysts to translate requirements into clear data definitions, models, and metrics.
- Develop and maintain automated data quality tests, tracing anomalies and failures back to their source.
- Document model purpose, ownership, definitions, dependencies, and limitations.
- Use Git and established code review and deployment practices to safely release changes.
- Support semantic models and datasets used in downstream reporting layers and applications.
What you bring
- Strong SQL skills with hands-on experience building production data models.
- Practical experience with dbt or a comparable data transformation framework.
- Experience working with cloud data warehouses such as Snowflake, BigQuery, or Redshift.
- Demonstrated experience designing dimensional models and data marts.
- Familiarity with Git and collaborative code review and deployment workflows.
- Strong communication, documentation, and stakeholder collaboration skills.
About Myriad360
Myriad360 is an IT consultancy and technology solutions provider focused on cloud, networking, and security infrastructure. Consistently recognized on Inc. and Crain's Best Places to Work lists, the company emphasizes inclusion, ownership, and client success.
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