Business Intelligence Analyst

Company: Na Ali'i Consulting & Sales, LLC.

Location: US-Remote (Remote)

Salary: $115k - $125k per year

Type: Full-time

Remote: Yes

Posted: 2026-09-14

About this role

## Overview

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 support 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.

## Responsibilities

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 repor...

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