Onsite Analytics Engineer - Data Pipelines & Dashboards

The Experience Share Video Games; Alameda (CA); On-site; USD 95,000 - 125,000; Full time

Benefits offered by this job

Competitive salary

Health benefits

401(k) matching

Relocation assistance

Tuition reimbursement

Paid time off

Vision insurance

Dental insurance

Life insurance

Employee discount

Job summary

The Experience Share Video Games in Alameda, CA is hiring an Analytics Engineer to turn data into actionable business reporting. This onsite role focuses on building analytics pipelines, organizing data, and delivering dashboards to support everyday decisions.

You will collect, clean, and model data from multiple sources, develop dashboards, monitor data quality, and partner with tech and business teams to apply data-driven improvements.

Qualifications

• Experience in data analytics, data engineering, or a related field.
• Knowledge of SQL and data modeling.
• Familiarity with Python and business intelligence tools.
• Strong analytical and problem-solving skills.
• Excellent communication and attention to detail.

Responsibilities

• Build and maintain data models and analytics pipelines that enable reporting and insights.
• Collect, clean, and organize data from multiple sources to ensure it is usable for analysis.
• Develop dashboards and reports that track business performance and highlight key metrics.
• Collaborate with technical and business teams to align data work with real needs.
• Monitor data quality and resolve reporting issues to keep outputs accurate and dependable.
• Identify trends and recommend data-driven improvements.

Skills

data analytics

data engineering

SQL

data modeling

Python

BI tools

analytical thinking

problem solving

communication

attention to detail

Tools

SQL

Python

BI tools

Job description

The Experience Share Video Games in Alameda, CA is hiring an Analytics Engineer to turn data into actionable business reporting. This onsite role focuses on building analytics pipelines, organizing data, and delivering dashboards to support everyday decisions.

You will collect, clean, and model data from multiple sources, develop dashboards, monitor data quality, and partner with tech and business teams to apply data-driven improvements.