Analytics Engineer
2 weeks ago
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.
Key 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.
Required Skills & Qualifications
- Proven 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).
-
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