IRIS Data Analyst

Position: IRIS Data Analyst Location: Remote Type: Contract IRIS Data Analyst roles at Iris (specifically Iris Software or IRISi) typically involve managing, cleaning, and interpreting complex datasets, often using SQL, Python, and BI tools to drive business insights. These roles range from supporting financial services and ETL testing to specialized roles handling partner data or AI-driven, high-level analysis, often requiring 5+ years of experience for senior positions. Key Responsibilities • Data Handling & Analysis: Analyze large, raw, or unstructured datasets from multiple sources, including financial, partner, and user behaviour datasets. • Technical Reporting & Visualization: Create dashboards and reports (e.g., using Tableau, Power BI, or SQL) to deliver actionable insights. • Data Quality & Integrity: Ensure data accuracy through rigorous testing, validation, and maintenance of documentation for data sources. • Stakeholder Collaboration: Work with product, growth, and engineering teams to define key metrics and support data-driven decision-making. • Domain Expertise: Apply knowledge of specific domains, such as capital markets or human resources (People Data). Required Skills & Qualifications • SQL & Database Expertise: Proficiency in SQL and familiarity with MySQL or other databases is critical. • Analytical Tools: Strong knowledge of Microsoft Excel (pivot tables, macros) and tools like R, Python, SAS, or ETL tools. • Data Engineering/Modeling: Experience with ETL/Data Warehouse testing, data modeling (conceptual, logical, physical), and data lineage (e.g., MS Purview). • Experience Level: Usually 3–5+ years in data analytics or similar roles. • Soft Skills: Strong analytical thinking, ability to work with unstructured data, and communication skills to present insights.