Sr. Analyst, Data Governance & Analytics

Xnrgy Climate Systems is seeking a Sr. Analyst in Data Governance & Analytics in Mesa, AZ. The role involves ensuring data integrity, developing data lineage models, implementing governance frameworks, and creating BI dashboards. Candidates should have strong skills in SQL/Python and experience with data management and analytics tools. The position is integral to supporting decision-making with reliable data insights as the company expands its sustainable infrastructure solutions.
Who are we?

XNRGY Climate Systems is a North American leader in sustainable design and advanced manufacturing of custom air treatment and liquid cooling systems. We deliver innovative, energy-efficient solutions for industries such as hyperscale data centers, healthcare facilities, pharmaceutical labs, semiconductor clean rooms, EV battery manufacturers, and life sciences facilities. We are expanding rapidly, with two new state-of-the-art production facilities in Mesa, Arizona. This growth reflects our commitment to advancing sustainable infrastructure solutions that support the AI revolution and other critical industries.

As part of this expansion, we are seeking a Sr. Analyst, Data Governance & Analytics

Role Summary

We are looking for a detail-oriented Data Governance & Analytics Analyst to serve as the guardian of our data integrity and the architect of our business insights. In this role, you won't just be building dashboards; you'll be ensuring that every metric displayed is backed by a transparent, high-quality, and governed data pipeline.

The ideal candidate thrives at the intersection of technical data management and strategic business intelligence, ensuring our leadership can make decisions based on "one version of the truth."

You will design and maintain data lineage models, data quality checks, metadata standards, BI dashboards, and build CI/CD pipelines and automation to streamline analytics delivery. The ideal candidate has strong hands-on experience in SQL/Python, enterprise BI tools, ETL/ELT workflows, and data governance best practices.

Key Responsibilities

1. Data Governance & Lineage
• Map the Journey: Document and maintain comprehensive data lineage to track the flow of data from source systems to final BI reports.
• Policy Enforcement: Develop and implement data governance frameworks, including data sensitivity labeling and access control policies.
• Metadata Management: Maintain a robust data catalog to ensure business terms and technical definitions are aligned across the organization.

2. Data Quality Management
• Audit & Monitor: Design and deploy automated data quality checks to identify anomalies, duplicates, or missing values.
• Remediation: Collaborate with engineering teams to root-cause data discrepancies and implement permanent fixes.
• Reporting: Maintain a "Data Health Scorecard" to provide visibility into the reliability of our core datasets.

3. BI Dashboard Development & Maintenance
• Visualization: Build, optimize, and maintain high-impact dashboards (e.g., Tableau, Power BI, or Looker) that drive executive decision-making.
• Performance Tuning: Ensure dashboards are performant and load efficiently by optimizing underlying queries and data extracts.
• Stakeholder Alignment: Translate complex business requirements into intuitive visual stories.

4. Automation and CI/CD
• Build CI/CD pipelines for analytics assets (SQL, Python, BI models, ETL pipelines) including version control, automated testing, quality gates, and deployment workflows.
• Develop Python/PowerShell/SQL-based automation scripts for metadata extraction, schema validation, data profiling, and routine analytics operations.
• Optimize ETL/ELT processes with reusable components, parameterized workflows, and automated orchestration.

Required Qualifications
• 5-10+ years of experience in data engineering, data governance, BI engineering, or analytics engineering.
• Strong expertise in SQL and Python for data validation, automation, and pipeline tasks.
• Hands-on experience with Power BI, including semantic models, calculations, and performance tuning.
• Experience defining and managing data lineage, metadata models, and data quality frameworks.
• Experience with Microsoft Fabric and Lakehouse architectures.
• Experience with enterprise data governance platforms (e.g., Collibra, Purview).
• Knowledge of data modeling (star schema, semantic models, tabular models).
• Familiarity with monitoring/observability tools (Splunk, Dynatrace, Datadog).
• Familiarity with ETL/ELT orchestration tools (e.g., Fabric Data Pipelines, ADF, Databricks, Airflow).
• CI/CD experience with GitHub/GitLab/Jenkins (or similar), including workflow automation and deployment strategies.
• Strong communication skills with the ability to translate technical concepts into business language.

Why choose XNRGY!
• Competitive salary
• Medical, dental, and vision insurance
• 401K
• Employee Assistance Program
• Paid time off
• A dynamic team, open to change to bring its color
• Modern state of the art facility with Industry 4.0 technology in Mesa, Arizona
• Being part of a green industry transformation
• Fast-growing dynamic environment where entrepreneurial spirit is recognized
• Inclusive and diversity-friendly environment
• Career advancement: XNRGY promotes internal promotion
• Electric charging stations