Senior Mining Research Analyst Jobs (NOW HIRING)

The Opportunity:

As an Operations Analyst, you're passionate about exploring the root cause of an issue and then analyzing, reporting, and developing recommendations for a creative solution. We need an experienced Research Analyst like you to help us solve complex problems for our clients. As a leader on our multi-disciplinary team of analysts and data scientists, you'll lead teams to evaluate data assessment strategies and apply techniques, such as optimization, simulation, machine learning, statistical analysis, and multi-objective decision analysis to deliver solutions and inform senior Department of Defense (DoD) leadership decisions.

You won't go at it alone, you'll work with the team to conduct research, prepare graphs and charts, and analyze and interpret programmatic and cost data. Once documented, you'll develop program briefs, documentation, and presentations to present results, collaborate with stakeholders, and participate in various program meetings to improve program efficiency and inform senior DoD leadership decisions.

In this role, you'll use your passion for analytics and statistics to devise modeling and measuring techniques utilizing mathematics, statistical methods, engineering methods, operational mathematics techniques and other principles and laws of scientific and economic disciplines.

Use your operations research knowledge to develop technologies and concepts that help transform and advance DoD's missions.

Join us. The world can't wait.

You Have:

• 7+ years of experience with data exploration, data cleaning, data analysis, data visualization, and data mining

• 7+ years of experience with analytical methodologies, including statistics, data modeling, forecasting, and optimization

• 5+ years of experience developing solutions for advanced analytics or wargaming

• Experience translating technical findings into reports for leadership and non-technical stakeholders

• Ability to analyze, report, and develop recommendations on data related to operational metrics

• Ability to collaborate with decision-makers about issues and solutions

• Ability to display intermediate to advanced proficiency in Python or R

• TS/SCI clearance

• Bachelor's degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a Quantitative field

Nice If You Have:

• Experience using ADVANA applications such as the External Data Loader (EDL), Databricks, Qlik, or Data Robot

• Experience building dashboards in Power BI

• Experience working within the DoD

• Experience in experimentation or wargaming

• Knowledge of analytical languages and software such as SQL or SAS

• Possession of strong writing, research, and presentation skills

• Master's degree in Data Science, Operations Research, Computer Science, Mathematics, Statistics, or a related Quantitative field

Clearance:
Applicants selected will be subject to a security investigation and may need to meet eligibility requirements for access to classified information; TS/SCI clearance is required.

Compensation

At Booz Allen, we celebrate your contributions, provide you with opportunities and choices, and support your total well-being. Our offerings include health, life, disability, financial, and retirement benefits, as well as paid leave, professional development, tuition assistance, work-life programs, and dependent care. Our recognition awards program acknowledges employees for exceptional performance and superior demonstration of our values. Full-time and part-time employees working at least 20 hours a week on a regular basis are eligible to participate in Booz Allen's benefit programs. Individuals that do not meet the threshold are only eligible for select offerings, not inclusive of health benefits. We encourage you to learn more about our total benefits by visiting the Resource page on our Careers site and reviewing Our Employee Benefits page.

Identity Statement

As part of the hiring process, we will ask you to complete an identity verification process that leverages advanced biometrics and artificial intelligence to ensure authenticity and protect against identity fraud. You are expected to be on camera during interviews and assessments. We reserve the right to take your picture to verify your identity and prevent fraud.

Candidate AI Usage Policy

AI is a part of our daily work at Booz Allen, and we are committed to the responsible and ethical use of AI tools. However, we want to ensure a fair candidate process based on your own skills and knowledge. As part of this commitment, the use of artificial intelligence (AI) or other tools to assist with responses during interviews (whether in-person or virtual) is prohibited unless permission is explicitly provided.

Work Model
Our people-first culture prioritizes the benefits of collaboration, whether it occurs in person or virtually. To support engagement and effective communication, employees working virtually are generally expected to have their cameras on during meetings.

• Remote: If this position is listed as remote, there may still be occasions when you are required to work in person at a Booz Allen or customer facility.

• Hybrid: If this position is listed as hybrid, you will be expected to work from a Booz Allen facility frequently, in alignment with leadership expectations and the needs of the role. You may also be required to work from or visit a customer facility.

• Onsite: If this position is listed as onsite, work will primarily be performed at a Booz Allen office or customer facility, where employees will collaborate directly with colleagues and customers as required by the role.

Commitment to Non-Discrimination

All qualified applicants will receive consideration for employment without regard to disability, status as a protected veteran or any other status protected by applicable federal, state, local, or international law.