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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Enterprise Analytics Quality & Reliability Analyst - **Company:** Armanino LLP - **Location:** Los Angeles, CA, United States - **Experience:** Experienced - **Salary:** $75,000 - $110,000 - **Contract:** Permanent contract - **Skills:** Automation of Tests, Microsoft Azure, Information Systems, Dimensional Modeling, Power BI, Standard Sql, DataOps, Smoke Testing, Delivery Pipeline, Git, Microsoft Fabric, Information Technology, Data Analytics, Data Pipelines, Servicenow - **Published:** November 11, 2026 - **Apply:** https://www.builtincolorado.com/job/enterprise-analytics-quality-reliability-analyst/12169996?handler=ApplyRedirect ## About the Role * Bachelor's degree in Computer Science, Information Systems, Data Analytics, Business Analytics, or a related field, or equivalent practical experience. * Two to three years of experience in analytics quality assurance, analytics testing, data quality, business intelligence, production support, or a closely related area. * At least two years of experience working in a Microsoft Fabric ecosystem or a comparable modern analytics environment, with the ability to quickly learn Armanino's Fabric configuration and processes. * Hands-on experience with Power BI reports or semantic models, including validating calculations, relationships, filters, navigation, refresh behavior, and data accuracy. * Working knowledge of SQL for record-count comparisons, source-to-report reconciliation, null and duplicate analysis, variance investigation, and issue diagnosis. * Experience creating or executing test cases, regression checks, acceptance criteria, release checklists, or documented quality evidence. * Ability to troubleshoot routine analytics or production issues, document findings clearly, and escalate complex incidents with relevant diagnostic information. * Strong analytical judgment, attention to detail, learning agility, and written and verbal communication skills. * Ability to manage multiple reviews or incidents, prioritize based on business impact and release timing, and follow issues through verification and closure., * Experience with Microsoft Fabric components such as lakehouses, warehouses, notebooks, data pipelines, semantic models, deployment pipelines, monitoring, or capacity concepts. * Working knowledge of DAX sufficient to validate measure logic, filter context, totals, time intelligence, and governed metric changes. * Understanding of dimensional modeling concepts, including fact and dimension grain, keys, relationships, and common data-quality controls. * Experience monitoring analytics solutions for refresh status, data freshness, performance, usage, adoption, or recurring support issues. * Familiarity with analytics governance concepts, including metric definitions, documentation, lineage, naming standards, change control, release evidence, and access controls. * Experience using a structured work-management or ticketing platform to document, prioritize, track, and retest defects. * Exposure to Azure DevOps, Git, ServiceNow, Power BI administration, test automation, or related release and support tools. * Microsoft certification such as PL-300 or DP-600. ## Description * Independently validate new and changed Enterprise Analytics solutions before business user acceptance testing, confirming that reports, applications, filters, navigation, calculations, data, refreshes, and security behave as intended. * Perform source-to-output reconciliation and focused data-quality testing to identify unexpected variances, nulls, duplicates, outliers, relationship issues, or inconsistencies across dashboards and governed metrics. * Create and execute practical test plans, regression checks, release checklists, and pass/fail documentation based on requirements and acceptance criteria. * Monitor daily Microsoft Fabric pipelines, notebooks, data freshness, semantic model refreshes, connections, and scheduled analytics activity; identify outages or failed processes and assess user impact. * Serve as the first line of response for production issues by resolving routine problems, gathering diagnostic evidence, communicating status and expected recovery timing, and routing complex incidents to the appropriate technical owner. * Reproduce and clearly document defects, assess severity and business impact, verify corrections, and perform post-deployment smoke testing. * Partner with Enterprise Analytics, DataOps, governance, and business stakeholders to coordinate quality reviews, user testing, releases, support, and issue resolution. * Maintain clear runbooks, issue records, support documentation, and knowledge articles that strengthen repeatability and enable effective handoffs. * Review solution usage, performance, refresh reliability, and recurring support trends; surface risks and opportunities for improvement to senior team members. * Apply established analytics governance, documentation, naming, security, lineage, change-management, and release standards, while recommending practical improvements as experience grows., Armanino does not accept unsolicited candidates, referrals, or resumes from any staffing agency, recruiting service, sourcing entity, or third-party paid service at any time. Any referrals, resumes, or candidates submitted to Armanino or any employee or owner of Armanino without a pre-existing agreement signed by both parties covering the submission will be considered the property of Armanino and not subject to any fees or charges. For existing agreements, a role must be approved and open to external search; otherwise, unsolicited and unapproved submittals and referrals will be considered Armanino property and free of fees. In addition, Talent Acquisition is the sole point of contact, and contacting others in our organization without Talent Acquisition's knowledge will result in termination of contract.