Data Engineer, Analytics: Build Metrics & Dashboards

Hitmarker | Gaming Jobs; San Francisco (CA); On-site; USD 180,000 - 200,000; Full time

Benefits offered by this job

Equity

Benefits

Job summary

Discord is seeking an experienced Data Engineer, Analytics to join our data team in transforming data into clean, well-documented tables and dashboards. You will own metrics end-to-end, partner with data science and product, and surface insights for business stakeholders.

You will design datasets, maintain dashboards, and enforce data quality across the data organization, collaborating with analysts, PMs, and engineers to empower faster decision-making.

Qualifications

• 3+ years of experience in analytics or data engineering with a focus on curated datasets.
• 3+ years designing, developing, and maintaining robust data models.
• 3+ years writing accurate and effective SQL code.
• Fluency in Python or another programming language with version control and CI/CD basics.
• Experience building dashboards/reports with BI tools like Looker or Tableau.

Responsibilities

• Design, build, and maintain curated analytical datasets and data models.
• Own metric definitions end to end from definition to production to surface in dashboards.
• Build and maintain executive dashboards and self-serve reporting tools.
• Partner with data science, product, and engineering to translate questions into data assets.
• Establish data quality standards with testing, docs, and monitoring.
• Promote consistent data modeling patterns and documentation norms.

Skills

Analytics

Data modeling

SQL

Python

BI tools

Tools

Looker

Tableau

BigQuery

Job description

Discord is seeking an experienced Data Engineer, Analytics to join our data team in transforming data into clean, well-documented tables and dashboards. You will own metrics end-to-end, partner with data science and product, and surface insights for business stakeholders.

You will design datasets, maintain dashboards, and enforce data quality across the data organization, collaborating with analysts, PMs, and engineers to empower faster decision-making.