Data Analyst
Job in
Fort Worth, Tarrant County, Texas, 76101, USA
Listed on 2026-11-06
Listing for:
Red Global
Full Time
position Listed on 2026-11-06
Job specializations:
-
IT/Tech
Data Analyst, Data Engineering, Business Intelligence, Data Warehousing
Job Description & How to Apply Below
- 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.
- 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, Big Query, 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).
- 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, Post Hog).
- Background in agile/scrum environments.
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