Senior Data Analyst

Laurel

full-time

Posted on: 9/17/2025

Origin: • 🇺🇸 United States • California

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💰 $165,000 - $230,000 per year

Senior

AirflowAmazon RedshiftAWSAzureBigQueryCloudD3.jsETLGoogle Cloud PlatformJavaScriptKubernetesPandasPythonSQLTableauTerraform

About the role

Build analyses & automation (SQL/Python): run recurring ROI analyses, write performant SQL and pandas, and productionize repeatable jobs with orchestration (e.g., Airflow).
Define metrics & model the data: own metric definitions and create reusable SQL Data Models serving as the analytics source of truth.
Partner with CX on customer ROI: quantify and communicate Laurel’s impact, prepare exec-ready materials, and join customer-facing presentations.
Ship dashboards & actionable insights: deliver customer-facing ThoughtSpot dashboards and translate findings into concise actionable insights.
Raise data quality & instrumentation: add validation tests and monitoring, triage data issues quickly, and collaborate with Product/Engineering to improve data quality.
Data Platform Development: design, build, and maintain Laurel’s Analytics Data Warehouse, create scalable ETL pipelines, and deploy/maintain BI tools.

Bachelor's degree in Computer Science, Engineering, or a related field, or equivalent practical experience.
3+ years of professional experience as a Data Analyst / Data Scientist.
Advanced SQL and Python.
Experience with data orchestration tools (e.g., Airflow, Prefect, Dagster).
Proficiency in modern data warehouses (e.g., Snowflake, BigQuery, Redshift).
Familiarity with data modeling, warehousing principles, and BI tools (e.g., ThoughtSpot, PowerBI, Tableau).
Demonstrated ability to code using AI tools (e.g., ChatGPT, GitHub Copilot, Cursor).
Cloud platform expertise (AWS, GCP, Azure).
Knowledge of dbt, Kubernetes, and Terraform.
Exposure to CI/CD pipelines and DevOps practices.
Strong problem-solving and communication skills.
Ability to work in a fast-paced startup environment and manage multiple priorities.
Must be legally authorized to work in the United States; visa sponsorship not available.
Willingness and ability to commute to San Francisco office three days per week.