Senior Data Analyst

Role Overview

This role sits at the intersection of advanced analytics, business strategy, and data engineering, supporting high-impact decision-making in a fast-paced digital environment. You will act as a key analytical partner to senior stakeholders, transforming complex datasets into clear, actionable insights that guide strategic and operational priorities.

What You Will Do

Design and maintain scalable SQL-based data models, frameworks, and analytics infrastructure supporting enterprise-level reporting. Develop and manage executive dashboards tracking global KPIs and key business performance metrics. Conduct deep-dive analyses on large datasets to identify trends, opportunities, and operational improvements.

Why It Might Be a Fit

This is a high-visibility role that requires both technical depth and strong storytelling skills. It is ideal for someone who thrives on solving complex problems and influencing decisions through data.

Requirements

• Bachelor’s degree in Statistics, Mathematics, Computer Science, Economics, or a related quantitative field.
• 5+ years of experience in data analytics, business intelligence, or a similar analytical role.
• Expert-level SQL skills, including complex querying, data modeling, and database optimization.
• Strong experience building and maintaining enterprise-level dashboards and reporting systems.
• Proficiency with Google Workspace tools (Sheets, Docs, Slides) for executive reporting.
• Strong understanding of data structures, analytics frameworks, and performance metrics in digital environments.
• Excellent communication skills with the ability to translate complex data into clear business insights.
• Experience working with large-scale datasets and fast-paced, data-driven environments.
• Strong stakeholder management skills and ability to influence senior leadership decisions.

Benefits

• Competitive annual salary ranging from $92,000 to $100,000, plus performance-based incentives.
• Comprehensive medical, dental, and vision insurance coverage.
• 401(k) retirement savings plan.
• Paid time off, holidays, and employee assistance programs.
• Remote work flexibility within the United States (Texas residency required for this role).
• Access to career development opportunities and internal growth programs.
• Inclusive, collaborative culture focused on innovation and continuous improvement.
• Exposure to large-scale analytics systems and high-impact business strategy initiatives.

Tagged as: Data Analysis