Analytics Engineer

🔥 14 hours ago

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Merit America

WebsiteLinkedInAll Job Openings

51 - 200 employees

Founded 2018

📚 Education

👥 B2C

Education • B2C • IT

Merit America is an educational organization focused on providing skills-based training for individuals looking to start or advance technology careers. The company offers programs in IT support, data analytics, UX design, cybersecurity, project management, and Java development, among others. Learners can gain industry-recognized credentials through flexible online courses while continuing to work or manage other responsibilities. Merit America supports students with career coaching and job success teams, aiming to ensure employability and career advancement. The program is designed to be accessible with no upfront costs, allowing payment after securing employment, and it offers a supportive community of peers and alumni.

📋 Description

• Own and improve canonical data models • Own and evolve the dbt models that transform raw source-system data into durable, reporting-ready tables. • Improve models over time by reducing duplication, clarifying grain, and documenting business logic. • Turn recurring reporting needs into reusable models rather than one-off queries. • Identify opportunities to simplify the data model and make reporting easier to understand and maintain. • Own the Lightdash semantic layer so core metrics are defined consistently and documented where they're used. • Maintain source-of-truth definitions, promoting and deprecating metrics as the business changes. • Improve the reporting ecosystem over time by making analytics more self-service and easier to use. • Build and maintain observability, testing, and monitoring across the analytics stack so data quality issues are identified early and resolved across source systems, transformations, and BI outputs. • Maintain strong development practices: version control, PR review, documentation, testing • Review analytics work for modeling quality and maintainability, and help analysts use the stack effectively. • Cross-train teammates so knowledge is shared rather than concentrated.

🎯 Requirements

• 4+ years working with SQL and a modern cloud data warehouse • Strong hands-on experience with dbt • Experience building and maintaining canonical data models and governed metrics that support reporting and self-service analytics • Experience working with a semantic layer or governed BI environment (Lightdash, LookML, dbt Semantic Layer, or similar). • Strong grasp of data modeling concepts, and the judgment to work effectively in complex, evolving business domains • Comfort experimenting with AI tools as part of technical work, with strong judgment around validation, privacy, and data quality. • Demonstrated history of proactively improving data models, reporting systems, or governance processes without waiting for every need to be fully scoped • Strong communication with technical and non-technical stakeholders, including explaining tradeoffs and limitations clearly • Strong development discipline: version control, code review, testing, documentation • Ability to help analysts and business partners use data in sustainable, governed ways

🏖️ Benefits

• Medical, Dental and Vision insurance (100% Paid Employee Only Coverage) • Flexible Spending Account and Health Savings Account • Dependent care Flexible Spending Account • Health Reimbursement Account fully funded by Merit • Education & personal development reimbursement • Catalog of courses for professional learning and development • Short and long-term disability • Unlimited vacation (after a 90-day introductory period) • Paid Parental Leave and Adoption benefits (after 1 year of employment) • 11 federally recognized holidays • 2 week holiday office closure in December/January • 401(k) retirement plan with automatic Merit contribution • Wellness Benefits/Wellness Resources • Discount perks at work program • Phone/technology stipend • Home office setup stipend • Affinity groups and community building via virtual, in-person, and/or regional meetups