Data Analyst (Remote)

7Seventy Recruiting; United States; On-site; USD 80,000 - 140,000; Full time

Benefits offered by this job

Medical, dental, and vision insurance

Job summary

7Seventy Recruiting seeks a Data Analyst to build trusted data models, define metrics, and deliver actionable insights across Growth, Finance, Product, and other business functions.

This role combines hands-on analytics with ownership of reusable datasets, reporting, metric definitions, and data quality to enable reliable decision-making. Advanced SQL, cloud data warehouses, and BI experience are required.

Qualifications

• 5-6 years of experience in analytics, data analysis, analytics engineering, or closely related work.
• Experience with a cloud data warehouse such as Snowflake, BigQuery, Redshift, or a comparable platform.
• Experience using BI tools such as Tableau, Looker, or similar platforms.
• Strong SQL with ability to model data, handle edge cases, optimize queries, and explain analytics logic.
• Ability to define meaningful business metrics and push for clarity around decisions those metrics support.
• Translate loosely defined stakeholder questions into structured analytical work and reusable data deliverables.
• Strong communication to work effectively with non-technical stakeholders and produce clear documentation.

Responsibilities

• Design and own business-critical metrics, including definitions, edge cases, and documentation.
• Build clean, reusable SQL models in the transformation layer that serve as trusted data sources.
• Partner with business stakeholders to turn ambiguous questions into clearly defined analytical deliverables.
• Create self-service datasets and lightweight reporting to answer recurring questions without bottlenecks.
• Improve data reliability through sanity checks, reconciliations, and data quality monitoring practices.
• Strengthen analytics best practices through consistent naming conventions, documentation, and metric governance.
• Use trusted data models and metrics to generate actionable insights for business stakeholders.

Skills

SQL

Data Modeling

Metric Governance

Business Intelligence

Data Quality

Stakeholder Analytics

Communication

Tools

Snowflake

BigQuery

Redshift

dbt

Tableau

Looker

Job description

Experience: 5-6 years in analytics, data analysis, or analytics engineering

Core Areas: SQL, Data Modeling, Metric Governance, Cloud Data Warehouses, Business Intelligence, Data Quality, dbt, Stakeholder Analytics

Compensation: $80,000-$140,000 per year, plus equity

About the Role

This opportunity is for a Data Analyst who will build trusted data models, define business-critical metrics, and deliver actionable insights across Growth, Finance, Product, and other business functions. The role combines hands-on analytics with ownership of reusable datasets, reporting, metric definitions, and data quality to create a dependable foundation for decision-making.

The position requires advanced SQL, experience with cloud data warehouses and BI platforms, and the ability to turn ambiguous stakeholder questions into clear analytical deliverables. The analyst will also improve metric governance, documentation, self-service analytics, and reporting reliability while using the resulting data foundation to uncover meaningful business insights.

What You'll Do

• Design and own business-critical metrics, including definitions, edge cases, and supporting documentation.
• Build clean, reusable SQL models in the transformation layer that serve as trusted source-of-truth datasets.
• Partner with business stakeholders to turn ambiguous questions into clearly defined analytical deliverables.
• Create self-service datasets and lightweight reporting that allow teams to answer recurring questions without unnecessary analytical bottlenecks.
• Improve data reliability through sanity checks, reconciliations, and available data quality monitoring practices.
• Strengthen analytics best practices through consistent naming conventions, documentation, and metric governance.
• Use trusted data models and metrics to generate actionable insights for business stakeholders.

Qualifications

Required Experience

• 5-6 years of professional experience in analytics, data analysis, analytics engineering, or closely related work.
• Experience working with a cloud data warehouse such as Snowflake, BigQuery, Redshift, or a comparable platform.
• Experience using business intelligence tools such as Tableau, Looker, or similar platforms.

Required Skills

• Strong SQL skills with the ability to model data cleanly, account for edge cases, optimize queries, and clearly explain analytical logic.
• Ability to define meaningful business metrics and push for clarity around the decisions those metrics are intended to support.
• Ability to translate loosely defined stakeholder questions into structured analytical work and reusable data deliverables.
• Strong communication skills with the ability to work effectively with non-technical stakeholders and produce clear documentation.

Preferred Qualifications

• Experience with dbt or similar data transformation tooling.
• Familiarity with experimentation, funnel analysis, retention analysis, and attribution.
• Experience with data quality tooling or monitoring.
• Group medical, dental, and vision insurance, including opt-out benefits.