Data Analyst - Combat Ready Airman

Dayton, OH, United States

Credence Management Solutions, LLC

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Overview

At Credence, we support our clients’ mission-critical needs, powered by technology. We provide cutting-edge solutions, including AI/ML, enterprise modernization, and advanced intelligence capabilities, to the largest defense and health federal organizations. Through partnership and trust, we increase mission success for war-fighters and secure our nation for a better future.

We are privately held, are repeatedly recognized as a top place to work, and have been on the Inc. 5000 Fastest Growing Private Companies list for the last 12 years. We practice servant leadership and believe that by focusing on the success of our clients, team members, and partners, we all achieve greater success.

 

Credence has an immediate opening for an experienced Data Analyst - Combat Ready Airman who will be primarily responsible for supporting HQ AFMC at Wright Patterson Air Force Base, OH. 

 

The Headquarters Air Force Material Command Directorate of Logistics, Civil Engineering, Force Protection, and Nuclear Integration (HQ AFMC/A4/10) has the AFMC mission responsibility to: shape the workforce and infrastructure to provide logistics, sustainment, and installation support for acquisition logistics, supply management, depot maintenance, and base-level logistics operations, and deliver responsive strategic facility and infrastructure oversight and over-arching direction for all Major Command (MAJCOM) security operations…resulting in war-winning expeditionary capabilities.

Responsibilities include, but are not limited to the duties listed below

  • Provide personnel experienced with performing Combat Ready Airman (CRA) requirements collection and prioritization, individual protective equipment management and analyst activities, and in managing Class II clothing and textile items to include development of AF/functional area fielding and sustainment plans.
  • Provide personnel with knowledge of FIAR requirements for accountability, supply demand planning and forecasting, and possess a general knowledge of Defense Logistics Agency-Troop Support sustainment procedures/processes. 
  • Complete life cycle data generation and outline critical information for IPE managers using statistical methods to analyze data and generate useful business reports as well as use data to create models that depict trends across the enterprise’s customer base (MAJCOMs and Logistics Readiness Squadrons) and the user population as a whole.
  • Provide data analysis for enterprise IPE inventory leveling and purchasing requirements and create prioritized list of needs for each IPE portfolio category (A-Bag, B-Bag, and C-Bag).
  • Provide historical consumption models, make predictive requirements forecast recommendations for use by wholesale (DLA) and manufacturing planning, track all IPE related management metrics to identify trend problem areas, and assess possible root causes.
  • Analyze business procedures and recommend specific types of data that can be used to improve upon them.
  • Work with IPE managers to outline the specific data needs for each analysis project as well as track IPE management tasks, projects, and initiatives via an IMS using MS Project.

Education, Requirements and Qualifications

  • Clearance: Secret or ability to obtain a Secret
  • BS/BA and three (3) years of relevant experience
  • Six (6) years of relevant work experience
  • Contractor personnel shall have experience in POM and PEC processes for enterprise level funding, resource planning and allocation
  • Experience with HQ staffing and action officer experience to include drafting ready-to-send electronic mails, policy coordination, Items of Interest (IOI), and Bullet Background Papers (BBP), as well as experience collaborating across DoD components at service/HQ/MAJCOM/unit level and possess ability to effectively participate/facilitate meetings, internal process teams, Continuous Process Improvement (CPI) events and working groups

Working Conditions and Physical Requirements

  • May be required to lift 15 lbs.
  • May be required to stand and walk two (2) hours a day
  • Some travel may be required

Please join us, as together we build a better world one mission at a time powered by Technology and its People!

 

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Tags: Data analysis Engineering Machine Learning Security Statistics

Perks/benefits: Team events

Region: North America
Country: United States

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