Skip to main content
Tallo logoTallo logo

Find Jobs

Find Jobs Near You – Available Work in Your Location

Skip to job details

Back to Results

Apply for this opportunity

To apply for this job, you'll continue to an external website or email application.

SAIC

Knowledge Management Analyst

Career Insights for Business Intelligence Analyst

See where this job fits in the broader career landscape. Knowing your career path helps you see what's possible from here.

Scorecard

Based on Hawaii data

Review key factors to help you decide if this role fits your goals. How is this calculated?

Were these scores useful?

What they do

A Business Intelligence Analyst collects and analyzes data that provides an accurate picture of business operations and performance for a company. Completes statistical analysis of current and historic business data, identifies trends and develops projections. Presents data analysis that informs planning and strategic decision making for a company.

$89,490 / year median in Hawaii

+11% projected growth

Explore Career

Job Description

Job ID:
2616732
Location:
Camp Smith, HI, US Date Posted:
2026-09-14
Category:
Information Technology Subcategory:
Knowl/Collab Engr Schedule:
Full-Time Shift:
Day Job Travel:
Yes - 10% of the time
Minimum Clearance Required:
Secret Clearance Level Must Be Able to
Obtain:
TS/SCI Potential for
Remote Work:
ORA_ON_SITE Description SAIC is currently seeking a Knowledge Management Analyst to support USPACOM Headquarters J1 at Camp H.M. Smith in Oahu, Hawaii.
Job Duties:
Serve as primary Information Management/Knowledge Management (IM/KM) technical expert for HQ J1 across classified and unclassified networks, leading design and sustainment of SharePoint and Microsoft 365 collaboration solutions. Develop and maintain Power BI dashboards, data models, and performance measures to deliver command-level manpower and personnel analytics (authorizations, vacancies, hiring metrics, workforce trends, and leadership-directed measures). Integrate, cleanse, and validate manpower/personnel data from ServiceNow, FMTS, JTD, and other sources; define data connections and API requirements to improve data exchange and reporting. Build automated workflows and low-code solutions (Power Automate, Power Apps, VBA) to eliminate manual processes, improve data quality, and standardize recurring HR and personnel activities. Analyze J1 business processes, map and test workflows, and implement measurable improvements that increase transparency, efficiency, and accountability across civilian hiring and personnel operations. Develop SOPs, governance and training materials, and data dictionaries; coordinate with J1, J6, HR, data offices, and mission partners; brief findings to senior leaders and represent J1 in IM/KM, data analytics, and AI working groups.
Qualifications Required Education and Experience:
Bachelors and five (5) years or more experience; four (4) additional years of work experience in lieu of degree Hands-on experience administering or developing SharePoint and Microsoft 365 collaboration solutions, including automated workflows using Microsoft Power Automate Hands-on experience developing Power BI solutions, including data modeling, Power Query, DAX, dashboard/report development, and data validation Experience with Power Apps, APIs and data integration, Databricks or other business-intelligence/data platforms, and enterprise data-modernization initiatives
Required Clearance:
Must have an active Secret clearance with ability to obtain a TS/SCI clearance
Desired Qualifications:
Working knowledge of ServiceNow and Fourth Estate Manpower Tracking System (FMTS) for manpower/personnel reporting, statistics, and workflow support AI Prompt Engineering for tool development and automation Experience supporting Department of War manpower, personnel, civilian hiring, workforce analytics, or headquarters staff processes; USPACOM or other Combatant Command experience is highly desired Target salary range: $120,001 - $160,000. The estimate displayed represents the typical salary range for this position based on experience and other factors.