Analytics Engineer: Dashboards, KPIs & Pipelines

Momcozy; Los Angeles (CA); On-site; USD 110,000 - 150,000; Full time

Job summary

Momcozy in Los Angeles is seeking an Analytics Engineer to support product and business decisions with trusted data.

You will build data models, metrics, dashboards, and pipelines in SQL and Python, partnering with product, engineering, and sales teams to define KPIs and improve data quality.

The role requires 3+ years in analytics engineering, strong SQL and Python, dimensional modeling, BI experience, and a bachelor’s degree or equivalent; authorization to work in the United States.

Qualifications

• 3+ years in analytics engineering, data engineering, or business intelligence.
• Strong SQL, Python, dimensional modeling, and BI experience.
• Bachelor’s degree or equivalent industry experience.

Responsibilities

• Build reliable data models, metrics, dashboards, and analytical datasets.
• Partner with product, engineering, and business teams to define KPIs and improve data quality.
• Develop SQL and Python pipelines and communicate insights clearly.

Skills

SQL

Python

Dimensional modeling

BI

Education

Bachelor's degree or equivalent

Job description

Momcozy in Los Angeles is seeking an Analytics Engineer to support product and business decisions with trusted data.

You will build data models, metrics, dashboards, and pipelines in SQL and Python, partnering with product, engineering, and sales teams to define KPIs and improve data quality.

The role requires 3+ years in analytics engineering, strong SQL and Python, dimensional modeling, BI experience, and a bachelor’s degree or equivalent; authorization to work in the United States.