Data Analyst - Lead @ Iris Software

Key Responsibilities:

Technical & Analytical:

• Architect and maintain scalable data pipelines and models using Snowflake.
• Lead the development of advanced dashboards and visualizations in Sigma BI to support business decision-making.
• Perform complex data analysis to uncover trends, anomalies, and opportunities.
• Ensure high standards of data quality, governance, and documentation.
• Collaborate with data engineering and product teams to define data requirements and ensure seamless integration.

Leadership & Strategic:

• Lead and mentor a team of data analysts, fostering a culture of excellence, collaboration, and continuous learning.
• Define and drive the data analytics roadmap aligned with business goals.
• Act as a key liaison between analytics and business units, translating business needs into data-driven solutions.
• Present insights and recommendations to senior leadership and stakeholders.
• Establish best practices for data analysis, reporting, and visualization across the organization.
• Evaluate and implement new tools and technologies to enhance analytics capabilities.
• Manage stakeholder expectations and ensure timely delivery of analytics projects.

Required Skills & Qualifications:

• Bachelors or Masters degree in Data Science, Computer Science, Statistics, or related field.
• 8-12 years of experience in data analytics, with at least 23 years in a leadership or mentoring role.
• Expertise in Snowflake, Sigma BI, and SQL.
• Strong understanding of data modeling, ETL processes, and cloud data platforms.
• Experience with Python, R, or other scripting languages for data analysis.
• Excellent communication, presentation, and stakeholder management skills.
• Proven ability to lead cross-functional projects and deliver business impact.

Preferred Qualifications:

• Experience with cloud platforms (AWS, Azure, GCP).
• Familiarity with data science and machine learning concepts.
• Knowledge of data privacy, security, and compliance standards.
• Certification in Snowflake, BI tools, or data analytics is a plus.