Senior Data Analytics Engineer

New

StepConsumer fintech

Remote (US), or hybrid out of our San Mateo, CA officeFull-TimeSenior

Salary not disclosed

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Job Details

Experience: 6+ years of experience across analytics engineering, data engineering, and analytics roles with real modeling ownership
Required Skills: PythonSQLTableauLooker

Have 6+ years of experience across analytics engineering, data engineering, and analytics roles, with real modeling ownership.
Have experience at a consumer product or fintech company.
Bring deep expertise in SQL and analytics data modeling.
Have extensive experience building data models and pipelines from scratch.
Have hands-on experience with BI and analytics tools such as Looker, Mixpanel, or Tableau, including building semantic layers.
Use AI tools in daily work and have automated parts of your workflow.
Demonstrate the ability to own a workstream independently from question to decision.
Be proficient in at least one programming language; Python is preferred.
Be fluent with modern transformation and orchestration tooling.
Hold a bachelor’s degree or an equivalent combination of education, training, and experience.

Own and maintain core analytics data models connecting raw user, product, banking, and risk data to company dashboards and BI tools.
Design and maintain pipelines and transformations for analytics and data science use cases, with data quality, freshness, and lineage checks.
Advise Product, Risk, Marketing, Growth, and Finance partners on metric definitions and instrumentation.
Build and maintain the semantic layer underlying BI tools.
Use AI-augmented workflows for model scaffolding, test and documentation generation, and exploratory analysis.
Create reusable query, visualization, and code components for teams.
Collaborate with data scientists, analysts, and platform engineers on modeling standards.

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