Data Analyst

• Support the ongoing management, maintenance, and enhancement of data within the LeanIX Data Lake.
• Develop and maintain datasets to support architecture governance, reporting, and analytical requirements.
• Translate business and reporting requirements into data requirements, queries, and consumable datasets.
• Query, analyze, and validate data using SQL and related querying technologies.
• Work within Databricks to analyze and manage Data Lake information.
• Perform data validation and testing to ensure completeness, consistency, and accuracy.
• Monitor and improve data quality across LeanIX and other applicable systems.
• Identify trends, patterns, anomalies, and opportunities to improve data quality and associated processes.
• Develop dashboards, reports, and data visualizations using Power BI and/or Databricks visualization capabilities.
• Partner with technical development resources as new Data Lake functionality and enhancements are introduced.
• Collaborate across the LeanIX Build and Run teams to ensure technical capabilities align with reporting and operational requirements.
• Establish repeatable processes and practices for ongoing dataset maintenance and data quality management.

The ideal candidate will combine strong data analysis capabilities with hands-on experience working in modern data platforms such as Databricks. This role requires someone comfortable working across data querying, dataset development and maintenance, data quality, validation, reporting, and visualization., * Strong experience in data analysis, data management, or a related data-focused role.

• Strong proficiency with SQL and querying large or complex datasets.
• Experience working with Databricks or comparable modern cloud data platforms.
• Understanding of Data Lake concepts, data structures, and data lifecycle management.
• Experience with data validation, testing, reconciliation, and troubleshooting.
• Experience identifying and resolving data quality issues.
• Experience developing reports and visualizations using Power BI or similar BI tools.
• Ability to translate business and reporting requirements into technical data requirements.
• Strong analytical and problem-solving capabilities.
• Ability to collaborate effectively with technical developers, architects, analysts, and business stakeholders., * Hands-on experience specifically with Databricks Data Lake environments.
• Experience with LeanIX or enterprise architecture management platforms.
• Experience supporting data governance or architecture governance initiatives.
• Familiarity with PySpark or similar technologies used within Databricks environments.
• Experience working within Agile/SDLC delivery environments.
• Experience supporting a production or Run function responsible for ongoing data maintenance and operational quality.