Best NanoTech · 7 hours ago
Business Systems Analyst (SQL and Collibra)
Westlake, TX
Full-time
Onsite
Mid, Senior Level
$60/hr - $60/hr
3+ years expBest NanoTech is seeking an experienced business and data analyst to empower clients with innovative event and data solutions. The role involves leveraging business, data, and technology expertise to help clients integrate messaging and streaming solutions, focusing on delivering exceptional customer experiences in financial services.
Staffing & Recruiting
Responsibilities
Strong SQL Experience with Collibra Analyst who can dive into detail excel files, drive process, see big picture
Able to dive into data
Effective communicator
Project management fundamentals
Experience onboarding teams to data/streaming platforms (e.g., Kafka) or messaging systems (e.g., Artemis or equivalent)
Proven track record reviewing solution architectures and integration patterns for data quality, security, and compliance risks
Experience facilitating data governance processes (metadata, lineage, classification, stewardship, retention, and access controls)
Background working with cross-functional teams (platform engineering, security, architecture, and product)
Familiarity with regulated environments and enterprise data standards (e.g., SOX, HIPAA, PCI, GDPR, CCPA—depending on context)
Experience using AI/ML tools to automate or enhance data governance activities (e.g., policy mapping, metadata extraction, anomaly detection)
Exposure to event-driven architectures, pub/sub design, and schema management (e.g., Confluent Schema Registry or equivalent)
Experience building or maintaining documentation, workflows, and playbooks for platform onboarding and governance reviews
Ability to interpret solution diagrams, sequence flows, and integration designs; spot gaps, anti-patterns, and noncompliance early
Strong grasp of data classification, lineage, ownership/stewardship, access provisioning, retention, encryption, and audit requirements
Understanding of topics/queues, producers/consumers, partitions, DLQs, schema evolution, and message durability and security
Proficiency using AI to accelerate governance tasks—summarizing designs, generating control checklists, mapping metadata, and surfacing anomalies
Build repeatable intake processes, readiness checklists, and decision logs that scale across teams
Translate technical constraints into business risk, align with platform standards, and drive clear decisions
Use SQL and data profiling tools to verify data quality, schema compatibility, and downstream impacts
Create crisp artifacts—architecture review notes, governance assessments, onboarding guides, and FAQs
Comfortable with Jira/Azure DevOps, Confluence/SharePoint, data catalog/lineage tools, and CI/CD-adjacent workflows for governance
Lead design reviews, run working sessions, and coach teams through remediation with an enablement mindset
Qualification
Required
3–5+ years in Business/Data Analysis, Data Governance, or Platform Enablement roles
Hands-on experience onboarding teams to data/streaming platforms (e.g., Kafka) or messaging systems (e.g., Artemis or equivalent)
Proven track record reviewing solution architectures and integration patterns for data quality, security, and compliance risks
Experience facilitating data governance processes (metadata, lineage, classification, stewardship, retention, and access controls)
Background working with cross-functional teams (platform engineering, security, architecture, and product)
Familiarity with regulated environments and enterprise data standards (e.g., SOX, HIPAA, PCI, GDPR, CCPA—depending on context)
Experience using AI/ML tools to automate or enhance data governance activities (e.g., policy mapping, metadata extraction, anomaly detection)
Exposure to event-driven architectures, pub/sub design, and schema management (e.g., Confluent Schema Registry or equivalent)
Experience building or maintaining documentation, workflows, and playbooks for platform onboarding and governance reviews
Ability to interpret solution diagrams, sequence flows, and integration designs; spot gaps, anti-patterns, and noncompliance early
Strong grasp of data classification, lineage, ownership/stewardship, access provisioning, retention, encryption, and audit requirements
Understanding of topics/queues, producers/consumers, partitions, DLQs, schema evolution, and message durability and security
Proficiency using AI to accelerate governance tasks—summarizing designs, generating control checklists, mapping metadata, and surfacing anomalies
Build repeatable intake processes, readiness checklists, and decision logs that scale across teams
Translate technical constraints into business risk, align with platform standards, and drive clear decisions
Use SQL and data profiling tools to verify data quality, schema compatibility, and downstream impacts
Create crisp artifacts—architecture review notes, governance assessments, onboarding guides, and FAQs
Comfortable with Jira/Azure DevOps, Confluence/SharePoint, data catalog/lineage tools, and CI/CD-adjacent workflows for governance
Lead design reviews, run working sessions, and coach teams through remediation with an enablement mindset
Preferred
Strong SQL Experience with Collibra Analyst who can dive into detail excel files, drive process, see big picture
Able to dive into data
Effective communicator
Project management fundamentals
Financial or FinTech domain
Understands personally identifying information
Company
Best NanoTech
ABOUT BEST NANOTECH CEOs and CTOs in semiconductor, IT and energy sectors face identical challenges: engineering talent is fragmented, hard to find, harder to retain.
11-50 employees
Funding
Current Stage
Early StageCompany data provided by crunchbase