The Role
The Analytics Engineer designs and maintains LookML models, builds scalable data pipelines in BigQuery, and collaborates with stakeholders to optimize data-driven decision-making.
Summary Generated by Built In
Position Overview:
We are seeking a highly skilled Analytics Engineer with expertise in Looker and Google BigQuery to join our data team. This role will focus on building scalable data models, optimizing SQL queries, and creating insightful dashboards and reporting solutions that empower business stakeholders to make data-driven decisions.
ShyftLabs is a growing data product company founded in early 2020 and works primarily with Fortune 500 companies. We deliver digital solutions built to help accelerate the growth of businesses in various industries, by focusing on creating value through innovation.
Job Responsibilities:
- Design, develop, and maintain LookML models in Looker to enable robust self-service analytics.
- Build reusable, scalable data pipelines and transformations in BigQuery.
- Partner with business stakeholders to translate reporting requirements into efficient data models and visualizations.
- Ensure data accuracy, consistency, and performance optimization across dashboards and queries.
- Implement centralized metrics and definitions for consistent business reporting.
- Work with cross-functional teams (data engineering, product, business) to align data models with business needs.
- Monitor and troubleshoot Looker dashboards, BigQuery performance issues, and data pipeline failures.
- Stay current with industry best practices in modern BI, analytics engineering, and cloud data platforms.
Basic Qualifications:
- Proven 5+ years of experience as an Analytics Engineer, BI Developer, or Data Analyst with strong technical ownership.
- Advanced proficiency in SQL (preferably Google BigQuery).
- Hands-on experience with Looker (LookML, Explores, Views, PDTs, user permissions).
- Strong understanding of data modeling principles (star schema, snowflake schema, slowly changing dimensions).
- Experience with data warehousing concepts and modern cloud data platforms (preferably GCP).
- Ability to optimize SQL queries and Looker Explores for performance and scalability.
- Strong problem-solving skills and ability to work with large, complex datasets.
- Excellent communication skills to collaborate with technical and non-technical stakeholders.
Preferred Qualifications:
- Experience with version control (Git) and collaborative LookML development.
- Familiarity with dbt (data build tool) for transformation modeling.
- Knowledge of other BI/visualization tools (Tableau, Power BI) is a plus.
- Understanding of ETL/ELT pipelines and orchestration tools (Airflow, Cloud Composer).
We are proud to offer a competitive salary alongside a strong insurance package. We pride ourselves on the growth of our employees, offering extensive learning and development resources.
Top Skills
Airflow
Cloud Composer
Dbt
Elt
ETL
Git
Google Bigquery
Looker
Power BI
SQL
Tableau
Am I A Good Fit?
Get Personalized Job Insights.
Our AI-powered fit analysis compares your resume with a job listing so you know if your skills & experience align.
Success! Refresh the page to see how your skills align with this role.
The Company
What We Do
We provide customized data and analytics consulting services, including automation and software development for a sustainable and intuitive digital transformation.
