Data Analyst

Red Global; United States; Remote; USD 75,000 - 110,000; Full time

Job summary

Red Global is seeking a data analytics professional to partner with Product, Growth, Finance, and Operations in shaping strategy through data-driven insights.

You will build modular SQL models, maintain data quality, and craft intuitive dashboards that drive business decisions across metrics and narratives.

Qualifications

• 2–5 years in data analytics, product analytics, or BI.
• Strong SQL mastery (window functions, CTEs, optimization).
• Hands-on with cloud data warehouses and BI layers.
• Ability to translate findings into actionable recommendations.
• Solid grasp of basic statistics and hypothesis testing.

Responsibilities

• Partner with cross-functional leaders to identify trends and growth drivers.
• Develop scalable SQL models to production-ready tables using dbt.
• Design dashboards and narratives that inform decisions
• Establish data definitions and governance, ensuring data quality.
• Leverage AI-assisted workflows to speed analytics and alerts.

Skills

SQL

Data Modeling

Analytics

Storytelling

Business Acumen

Tools

dbt

Snowflake

BigQuery

Job description

Key Responsibilities

• Insight Generation & Business Strategy: Partner with cross-functional leadership (Product, Growth, Finance, Operations) to identify trends, diagnose churn/growth drivers, and discover high-value business opportunities.
• Analytics Engineering & Data Modeling: Write clean, modular, and version-controlled SQL models (using tools like dbt) to transform raw data into well-structured, production-ready tables.
• Modern Visualization & Storytelling: Design intuitive, dynamic dashboards and narrative reports (using Lightdash, Looker, Metabase, Tableau, or Power BI) that drive decision-making rather than just display metrics.
• Data Quality & Governance: Establish data definitions, document metrics in a central data catalog, and ensure high standards for data accuracy, testing, and reliability.
• AI & Workflow Automation: Leverage AI-assisted analytics workflows and automated pipelines to speed up data exploration and deliver real-time operational alerts.

Requirements & Qualifications

• Experience: 2–5 years of experience in a data analytics, product analytics, or business intelligence role.
• Advanced SQL & Modeling: Strong mastery of SQL (window functions, CTEs, performance optimization) and familiarity with modern data transformation practices.
• Modern Data Stack: Hands-on experience with cloud data warehouses (e.g., Snowflake, BigQuery, Databricks) and BI/semantic layer tools.
• Business Acumen & Storytelling: Ability to translate complex quantitative findings into clear, actionable recommendations for non-technical stakeholders.
• Analytical & Statistical Mindset: Solid understanding of basic statistical concepts (hypothesis testing, confidence intervals, regression analysis).

Nice-to-Haves

• Experience using dbt (data build tool) for analytics engineering.
• Proficiency in Python or R for exploratory data analysis, automation, or statistical modeling.
• Experience with product analytics platforms (e.g., Mixpanel, Amplitude, PostHog).
• Background in agile/scrum environments.