Senior Data Analyst

Iseatz - Denver, CO

Full-time - Senior

Remote - Denver, CO

Administrative and Support Services

About the position

The Senior Data Analyst at iSeatz plays a critical role in supporting the Data Solutions team by providing analytical support that drives impactful business outcomes. This position involves collaborating with various internal teams and clients to ensure data-driven decisions align with business strategies, while also mentoring junior analysts and contributing to data governance initiatives.

Responsibilities

• Collaborate with the client delivery excellence team and internal departments to ensure data-driven decisions align with business strategies.
• Serve as the main data liaison between iSeatz, the client, and relevant stakeholders, presenting findings and recommendations to leadership teams.
• Be the primary point of contact for executives, facilitating communication and delivery of insights, including preparation for quarterly business reviews.
• Prioritize and manage competing projects in a fast-paced environment, ensuring clear communication and alignment between stakeholders.
• Collect, clean, and analyze large datasets from multiple sources to identify key trends and actionable insights.
• Develop, maintain, and enhance dashboards and reports using tools such as Tableau to track business performance.
• Utilize SQL, Python, and other tools for advanced data analysis, providing strategic recommendations based on insights.
• Contribute to data governance initiatives, ensuring data integrity, security, and privacy standards are upheld.
• Support the broader iSeatz data strategy, aligning client-specific projects with the company’s long-term data objectives.
• Provide mentorship and technical guidance to junior analysts, ensuring consistent development of analytical skills.

Requirements

• 5+ years of experience in data analytics, business intelligence, or a related field, with proven experience supporting large-scale financial institutions or complex organizations.
• Expertise in data visualization tools (e.g., Tableau, Power BI, Looker) and advanced SQL skills, with proficiency in Python for data manipulation and analysis.
• Experience with cloud data warehouses (e.g., Snowflake, Redshift) and a solid understanding of data governance, security, and privacy best practices.
• Strong analytical and problem-solving skills, with a focus on delivering actionable insights and maintaining attention to detail across multiple projects.
• Excellent communication and interpersonal skills, with the ability to present complex data insights effectively to both technical and non-technical audiences.
• Demonstrated ability to collaborate across teams, manage client relationships, and adapt communication style to diverse audiences.

Nice-to-haves

• Familiarity with machine learning techniques or advanced statistical analysis; e.g. time series forecasting, anomaly detection.
• Prior experience working with large clients in a B2B environment, particularly in tech, banking, or travel sectors.
• Exposure to ETL processes and data pipeline management.
• Experience with Adobe Analytics and reporting.

Benefits

• Remote-first work environment with flexibility in location.
• Opportunities for professional growth and development.
• Supportive and autonomous work culture with no micromanagement.