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We are seeking a Data Integrity Manager to join a global infrastructure analytics team supporting data quality and reporting for high-impact technical programs across data center environments. This role plays a vital part in ensuring the accuracy, consistency, and governance of operational data used to inform strategic decisions in a complex, fast-paced environment.
The ideal candidate brings a mix of scripting, visualization, and data governance experience—paired with a strong sense of ownership and a commitment to continuous improvement.
Key Responsibilities
- Perform data quality assurance across various systems (e.g., project management platforms, CRM, and internal tooling)
- Detect and resolve data discrepancies, anomalies, and validation issues using automation and ad hoc scripting
- Build and maintain data dashboards and reporting solutions that align with team goals and stakeholder needs
- Implement and document data governance standards, including process documentation and data lineage tracking
- Collaborate with cross-functional teams to understand data requirements and troubleshoot issues
- Create automation scripts using Python and advanced SQL queries to support large-scale data cleanup and monitoring
- Determine the right balance between manual corrections and long-term automated solutions
- Partner with analytics teams to optimize and adjust data pipelines and schema
Top Required Skills
- Spreadsheet Automation & Smartsheet Expertise – Advanced Excel/Smartsheet use, including pivot tables, advanced formulas, automations, and interlinked datasets
- Data Visualization – Experience with tools like Quicksight, Tableau, or similar platforms, creating calculated fields and managing denormalized data
- SQL & Python Scripting – Writing queries and scripts for automation, anomaly detection, and data reconciliation
Skills & Experience Required
- Bachelor’s degree or equivalent work experience
- 3+ years in a data management, data integrity, or analytics role
- Proven ability to audit and clean large datasets across multiple platforms
- Familiarity with relational databases and complex joins, including window functions
- Experience designing and maintaining dashboards and visual reporting tools
- Understanding of effective data visualization techniques and design principles
Preferred Qualifications
- Experience with Python libraries like Pandas; API call automation and SDK scripting (e.g., Smartsheet SDK)
- Background in working with cloud-based data tools (e.g., Redshift, Glue, Lambda, S3)
- Familiarity with using IDEs like VSCode or DataGrip
- Previous experience in infrastructure, manufacturing, or engineering organizations
Why This Role?
This role offers an opportunity to join a uniquely positioned team supporting programmatic innovation across global infrastructure environments. You’ll work cross-functionally to deliver scalable, high-quality data solutions that directly impact the success of evolving technologies, including AI and advanced systems. If you're passionate about clean data, automation, and solving hard problems with smart people—this is the role for you.
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