Job description

Nakupuna Companies is seeking a Business Intelligence Analyst to join our team of talented consultants . The individual will work with data owners, stewards, engineers, and mission users to profile priority data, define business meaning and quality rules, validate lineage, document results, and help make trusted NAVSUP data easier to find and use. The individual will s upport NAVSUP Business Systems Center as a Business Intelligence Analyst responsible for advancing enterprise data cataloging, metadata management, lineage, governance, and data-quality capabilities within NAVSUP’s AWS GovCloud environment. Collaborate with data owners, stewards, engineers, administrators, and mission users to profile prioritized datasets; establish business definitions, domains, classifications, quality rules, baselines, and thresholds; and connect business terminology with technical data assets. Validate metadata completeness, source-to-target lineage, data-quality results, and the accuracy and reconciliation of data exchanged through APIs and other integration processes. Develop test cases, capture evidence, document findings and remediation actions, support retesting, and maintain traceability in Azure DevOps. Produce governance and quality reports, scorecards, procedures, training materials, and knowledge-transfer content while supporting ongoing monitoring and sustainment. The following reflects management's definition of essential functions for this job but does not restrict the tasks that may be assigned. Management may assign additional duties and responsibilities to this job at any time due to mission requirements and reasonable accommodation. • Support configuration and use of Informatica and Mulesoft Enterprise Data Catalog, Axon Data Governance, and Data Quality in pre-production and production environments. • Profile prioritized datasets and develop data-quality rules, scorecards, thresholds, baselines, and measurable improvement reporting. • Analyze data-quality issues, document root causes and remediation actions, support retesting, and track findings through closure in Azure DevOps. • Support automated metadata harvesting and scheduled scans across ETL applications. • Validate end-to-end data lineage, metadata completeness, source-to-target relationships, and Axon-to-Enterprise Data Catalog linkages. • Develop and maintain business glossaries, data domains, classifications, stewardship workflows, and links between business terms and technical assets. • Work with data owners and stewards to define governance policies, access expectations, quality measures, and acceptance criteria for NAVSUP use cases. • Develop and execute functional, integration, regression, and user-acceptance test cases; validate and reconcile data exchanged through APIs and other integration processes; capture scripts, datasets, screenshots, logs, and results for auditability; and support preparation of API and Data Quality Validation Reports. • Create data-quality and governance dashboards or reports and integrate relevant metrics into ongoing monitoring and status reporting. • Maintain procedures, training materials, wiki content, configuration records, and knowledge-transfer materials throughout the period of performance. • Participate in Agile planning, sprint reviews, weekly work-item updates, stakeholder sessions, demonstrations, and post-installation support. • Performs other related duties as assigned . Skills/Qualifications : In addition to being able to confidently perform the above job duties, the candidate should demonstrate the following: • Agile - Breaks data-governance and data-quality work into testable tasks with clear acceptance criteria ; k eeps findings, remediation actions, evidence, and status current in Azure DevOps. • Analytical / Problem Solving - Profiles data, finds patterns and root causes, and defines measurable quality baselines and thresholds ; c onnects business definitions, ownership, lineage, technical assets, and data-quality rules. • Communication - Works comfortably with data owners, stewards, analysts, engineers, and Government stakeholders ; e xplains data-quality and lineage findings in plain language without losing technical accuracy. • Quality - Produces complete and repeatable test evidence, scorecards, metadata records, glossary entries, and remediation documentation ; c hecks that catalog permissions, lineage, glossary links, and quality rules work end to end. • Teamwork / Coaching - Supports demonstrations, training, workshops, and practical knowledge transfer ; s eeks input early when definitions, ownership, or acceptance criteria are unclear. Education and Experience: Education: A bachelor's degree in data analytics, information systems, computer science, statistics, business, or a related field is preferred. Required experience: The candidate must be able to demonstrate the following: • 3-5 years of Power BI experience • 3-5 years of h ands-on experience with data profiling, data-quality rules, metadata, data lineage, business glossaries, data catalogs, or enterprise data governance. • Working knowledge of relational data, SQL, data warehouses, and ETL concepts. • Ability to analyze data issues, define measurable quality criteria, document test evidence, and explain findings to technical and business stakeholders. • Experience working with data owners, data stewards, analysts, developers, or system administrators to resolve data and metadata issues. • Strong documentation, communication, testing, and organizational skills. • Ability to learn and work in a specialized Informatica and NAVSUP technology environment rather than focusing only on dashboard development. • U.S. citizenship and ability to complete the required Navy onboarding, background-investigation, CAC, SAAR, training, and NDA requirements. Preferred experience : The following experience will strengthen the candidate's fit for this role: • Experience and working knowledge of Tableau, NDP, WDP, or Microsoft Power Apps desired. • R elevant data governance, metadata, data-quality, or data-integration experience. • Experience with Informatica Data Quality, Axon Data Governance, Enterprise Data Catalog, and PowerCenter. • Experience with Yellowbrick , Oracle, Snowflake, or a comparable relational data warehouse. • Experience with Python, automated testing, or API-based data validation. • Familiarity with AWS GovCloud, role-based access control, PKI, or DoD data environments. • Prior experience supporting Navy logistics , enterprise analytics, or Government data-governance initiatives. Certifications: Current DoD 8140.03 IAT Level II baseline certification at the start of performance: CompTIA Security+ CE or a PWS-listed substitute (CCNA,  CySA +, GICSP, GSEC, or CND) . Required: No additional b aseline certification s are required for this labor category. Clearance and access: This position requires U.S. citizenship, CAC eligibility, and a final, favorably  adjudicated  T 3 or equivalent investigation. This position requires U.S. citizenship and the ability to obtain and maintain the favorable background investigation, CAC, SAAR, and system access required by NAVSUP. The Nakupuna Companies use a market-based compensation strategy to ensure that our employees are compensated within applicable market ranges commensurate with multiple factors, including but not limited to the individual’s particular combination of education, knowledge, skills, competencies, and experience, as well as contract-specific affordability, organizational requirements, and position location. The projected compensation range for this position is $115,000.00 to $125,000.00 (annualized USD). The salary range displayed represents the typical salary range for this position and is just one component of Nakupuna Companies total compensation package for employees.

Requirements

Must-haves

Support configuration and use of Informatica and Mulesoft Enterprise Data Catalog, Axon Data Governance, and Data Quality in pre-production and production environments.
Profile prioritized datasets and develop data-quality rules, scorecards, thresholds, baselines, and measurable improvement reporting.
Analyze data-quality issues, document root causes and remediation actions, support retesting, and track findings through closure in Azure DevOps.
Support automated metadata harvesting and scheduled scans across ETL applications.
Validate end-to-end data lineage, metadata completeness, source-to-target relationships, and Axon-to-Enterprise Data Catalog linkages.
Develop and maintain business glossaries, data domains, classifications, stewardship workflows, and links between business terms and technical assets.
Work with data owners and stewards to define governance policies, access expectations, quality measures, and acceptance criteria for NAVSUP use cases.
Create data-quality and governance dashboards or reports and integrate relevant metrics into ongoing monitoring and status reporting.
Maintain procedures, training materials, wiki content, configuration records, and knowledge-transfer materials throughout the period of performance.
Participate in Agile planning, sprint reviews, weekly work-item updates, stakeholder sessions, demonstrations, and post-installation support.
Performs other related duties as assigned .
In addition to being able to confidently perform the above job duties, the candidate should demonstrate the following:
Agile - Breaks data-governance and data-quality work into testable tasks with clear acceptance criteria ; k eeps findings, remediation actions, evidence, and status current in Azure DevOps.
Communication - Works comfortably with data owners, stewards, analysts, engineers, and Government stakeholders ; e xplains data-quality and lineage findings in plain language without losing technical accuracy.
Teamwork / Coaching - Supports demonstrations, training, workshops, and practical knowledge transfer ; s eeks input early when definitions, ownership, or acceptance criteria are unclear.
Required experience: The candidate must be able to demonstrate the following:
3-5 years of Power BI experience
3-5 years of h ands-on experience with data profiling, data-quality rules, metadata, data lineage, business glossaries, data catalogs, or enterprise data governance.
Working knowledge of relational data, SQL, data warehouses, and ETL concepts.
Ability to analyze data issues, define measurable quality criteria, document test evidence, and explain findings to technical and business stakeholders.
Experience working with data owners, data stewards, analysts, developers, or system administrators to resolve data and metadata issues.
Strong documentation, communication, testing, and organizational skills.

Nice-to-haves

Education: A bachelor's degree in data analytics, information systems, computer science, statistics, business, or a related field is preferred.
Preferred experience : The following experience will strengthen the candidate's fit for this role:

Application prep

Use the role’s language and application details while tailoring your materials.

Keywords to mirror

awsazureapiagilesqlpython

Platform: icims
Effort: medium