Analytics Engineer: Data Foundations & Impact (Onsite SF)

Gamescape; San Francisco (CA); On-site; USD 110,000 - 145,000; Full time

Benefits offered by this job

Competitive salary

Health benefits (health, dental,vision

life insurance

401(k) matching

Paid time off

Flexible schedule

Professional development opportunities

Relocation assistance

Employee assistance program

Employee discount

Job summary

Gamescape, based in San Francisco, CA, is hiring an Analytics Engineer to turn raw data into dependable datasets and insights teams can act on. This onsite role focuses on building analytics foundations, improving data workflows, and partnering across functions to connect data quality with business decisions.

The position requires strong SQL, data modeling, Python familiarity, and experience with data warehouses.

Qualifications

• Experience in analytics engineering, data engineering, or a related field.
• Strong SQL skills and experience with data modeling.
• Familiarity with Python and data transformation tools.
• Knowledge of data warehouses and reporting platforms.
• Strong analytical and problem-solving abilities.

Responsibilities

• Build and maintain analytics-ready data models for consistent reporting and analysis.
• Develop and optimize SQL queries and data pipelines.
• Validate data quality, accuracy, and consistency across datasets.
• Create reliable datasets used for reporting and decision-making.
• Collaborate with analysts, engineers, and business stakeholders to support analytics needs.
• Document data processes and continuously improve analytics workflows.

Skills

Analytics engineering

Data modeling

Data analysis

Collaboration

Tools

SQL

Python

Job description

Gamescape, based in San Francisco, CA, is hiring an Analytics Engineer to turn raw data into dependable datasets and insights teams can act on. This onsite role focuses on building analytics foundations, improving data workflows, and partnering across functions to connect data quality with business decisions.

The position requires strong SQL, data modeling, Python familiarity, and experience with data warehouses.