About the role
We are looking for an Agile, product-oriented Senior Analytics Engineer to drive our
modern data architecture. You will be the bridge between raw data and business value for
our digital products and online services.
In this role, speed and value are key. You will adopt an MVP (Minimum Viable Product)
mindset to launch data products quickly, iterate fast, and provide actionable insights for our
Marketing and Finance teams. You will work on our cutting-edge stackbuilding robust
pipelines in dbt and BigQuery, and exposing data through our next-generation semantic
layer in Omni Analytics.<\/p>\n
What you will do
Modern Data Modeling: Design, build, and maintain scalable dbt models in
BigQuery. Transform raw data into clean, tested, and documented data marts ready
for analysis.
MVP Delivery: Adopt a fast-paced, product-oriented mindset. Launch Minimum
Viable Products for data reporting to give product and business stakeholders quick
answers, then iterate based on feedback.
Semantic Layer Ownership: Implement and govern the business logic in Omni
Analytics (or similar modern BI tools), ensuring metrics are defined once and trusted
by everyone.
Cross-Functional Analytics: Collaborate closely with Marketing and Finance
departments to understand our digital platform metrics (CAC, LTV, ROI, conversion
funnels, retention, and MAUs) and translate them into technical solutions.
Quality & CI\/CD: Apply software engineering best practices to data: version control
(Git), automated testing, and CI\/CD workflows for data pipelines.<\/p>\n
Requirements
Experience: 6+ years in a Data Engineering, Analytics Engineering, or advanced BI
role.
Modern Data Stack (Essential): Extensive experience with dbt and cloud data
warehouses (preferably BigQuery, though Snowflake\/Redshift is valid).
BI & Semantic Layers: Experience with Omni Analytics is highly desired.
Alternatively, strong experience in Looker (LookML), Power BI, or Tableau, with a
clear understanding of semantic layers and governed metrics.
Domain Knowledge: Strong understanding of digital products, online services, and
high-traffic platform dynamics. Exposure to Marketing and Finance data is highly
desirable.
Technical Skills: Advanced SQL optimization, data modeling (star schema, OBT),
and Git workflow.
Mindset: MVP-oriented, proactive, and capable of finding innovative solutions to
challenging problems.<\/p>\n
Tools you will work with
BigQuery \u00b7 dbt \u00b7 Omni Analytics \u00b7 SQL \u00b7 Git \u00b7 Digital product analytics platforms<\/p>\n","protected":false},"excerpt":{"rendered":"
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