Operations Research Systems Analysis (ORSA) Analyst
Operations Research Systems Analysis (ORSA) Analyst

Operations Research Systems Analysis (ORSA) Analyst

Stafford Full-Time 36000 - 60000 £ / year (est.) No home office possible
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At a Glance

  • Tasks: Analyse data, create reports, and collaborate with military leaders to solve complex problems.
  • Company: Kalman & Company supports Federal and DoD clients with innovative analytics solutions.
  • Benefits: Enjoy a competitive salary, flexible work options, and opportunities for professional development.
  • Why this job: Join a diverse team tackling significant challenges while making an impact on national security.
  • Qualifications: Bachelor's degree in a quantitative field and 5+ years of relevant experience required.
  • Other info: Active Secret Security Clearance preferred; on-site meetings in Quantico/Stafford area several times monthly.

The predicted salary is between 36000 - 60000 £ per year.

Career Opportunities with Kalman and Company

Careers At Kalman and Company

Current job opportunities are posted here as they become available.

Operations Research Systems Analysis (ORSA) Analyst

Kalman & Company is seeking a highly motivated, performance driven individual with ORSA experience to work closely with our Federal and DoD clients. US Citizenship is required to be considered. This position will require on-site meeting attendance at corporate and/or client locations several times monthly in the Quantico/Stafford, VA area. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the ability to principally contribute to several of the largest and most significant studies in Kalman’s portfolios. This role consists of workforce planning, data analysis, and reporting using a variety of tools.

A career with Kalman & Company, Inc. is both rewarding and challenging. Our clients require skilled, hardworking, innovative support service providers who can meet the demands of a dynamic and fast-paced workplace. As a Kalman Analyst, you will collaborate with military leaders, engineers, developers, technicians, logisticians, and financial managers to collect, analyze, and communicate information that helps ensure the success of programs critical to the United States Department of Defense and our allies.

  • Engage with motivated and highly skilled teammates to solve the government’s most challenging analytics problems by developing decision analyses for military and civilian leaders
  • Support the Business Analytics team via a flexible working structure that balances each employee’s lifestyle while providing opportunities for in-person client and team engagement
  • Join a diverse, inclusive, and growing team that fosters a supportive and encouraging environment to explore a variety of unique projects and clients for career success and fulfillment.
  • Take advantage of a competitive salary along with a generous benefits package and paid opportunities for learning and professional development as well as on-the-job training and growth

Duties/Responsibilities:

  • Work directly with stakeholders to understand their reporting requirements and apply data analytics tools and methods to streamline monthly, quarterly, and annual reports.
  • Develop reports using Access, Excel, Power BI, PowerPoint, and/or Word.
  • Develop and manage organization-wide business intelligence solutions.
  • Create or modify existing report assets.
  • Build data visualizations including dashboards and reports.
  • Document data profiling and quality assurance results, data dictionaries, and analytical findings
  • Use data to create predictive models and trend analyses.
  • Collaborate with colleagues to define data collection strategies and establish data frameworks.
  • Collect, audit, compile, and validate data from multiple sources.
  • Interpret data and analyze results using statistical techniques to produce as-needed reports to meet client and/or business needs.
  • Proactively integrate new technologies for more advanced analytics and automate business processes including and not limited to Power Flow, PowerApps, AI, and Machine Learning
  • Effectively communicate analysis to government stakeholders

Required Education/Qualifications:

  • Bachelor’s degree in a Quantitative Field (Mathematics, Statistics, Economics, Analytics, Computer Science, etc.)
  • More than five years overall experience, primarily related to data analytics or workforce planning or manpower.
  • Strong quantitative skills with ability to critically analyze client requirements, disparate collections of datasets and market intelligence and synthesize all inputs in into coherent, insightful cost deliverables, findings, and recommendations.
  • Strong analytical, interpersonal, and presentation skills and the ability to contribute effectively to working groups through oral and written communication.
  • Comprehensive understanding of current principles, practices, and techniques of Systems Analysis, Business Analysis, and Business Intelligence
  • Produce and enhance reports and dashboards.
  • Skilled in using data analytics tools such as Access, Excel, Power BI, Tableau, etc.
  • Ability to communicate effectively both orally and in writing.

Preferred Education/Qualifications

  • Active Secret Security Clearance
  • Knowledge of DoD acquisition, financial, and PPBE processes
  • Experience developing data models in Power BI and managing distributed reports, dashboards, and apps in Power BI Service
  • Experience with current computing technologies and software applications such as specialized Business Intelligence software, SQL, Microsoft SQL Server, Oracle, Access, SharePoint, and other database applications

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Operations Research Systems Analysis (ORSA) Analyst employer: Kalman & Company, Inc.

Kalman & Company is an exceptional employer that offers a dynamic and supportive work environment in the Quantico/Stafford, VA area. With a focus on employee growth, we provide competitive salaries, generous benefits, and opportunities for professional development while fostering a diverse and inclusive culture. Join us to collaborate with skilled teammates on impactful projects that support the U.S. Department of Defense and enjoy a flexible working structure that balances your lifestyle with meaningful client engagement.
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Contact Detail:

Kalman & Company, Inc. Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Operations Research Systems Analysis (ORSA) Analyst

✨Tip Number 1

Familiarise yourself with the specific tools mentioned in the job description, such as Power BI, Excel, and Access. Having hands-on experience or even completing online courses on these platforms can give you a significant edge during interviews.

✨Tip Number 2

Network with professionals in the defence sector, especially those who work with Kalman & Company or similar organisations. Attend industry events or join relevant online forums to gain insights and potentially get referrals.

✨Tip Number 3

Prepare to discuss your previous experiences in data analytics and workforce planning in detail. Be ready to provide examples of how you've used data to drive decisions or improve processes, as this will demonstrate your capability to meet client needs.

✨Tip Number 4

Research Kalman & Company's recent projects and initiatives. Understanding their current focus areas and challenges will allow you to tailor your discussions and show how your skills align with their goals.

We think you need these skills to ace Operations Research Systems Analysis (ORSA) Analyst

Data Analysis
Quantitative Skills
Statistical Techniques
Business Intelligence
Access
Excel
Power BI
Tableau
Data Visualisation
Predictive Modelling
Trend Analysis
Data Collection Strategies
Data Quality Assurance
Communication Skills
Interpersonal Skills
Presentation Skills
Systems Analysis
Workforce Planning
SQL
Oracle
SharePoint

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in operations research, data analytics, and workforce planning. Use specific examples that demonstrate your skills in quantitative analysis and communication, as these are crucial for the role.

Craft a Strong Cover Letter: Write a cover letter that addresses why you are interested in the ORSA Analyst position at Kalman & Company. Mention your understanding of their work with Federal and DoD clients and how your background aligns with their needs.

Highlight Technical Skills: Clearly list your proficiency in data analytics tools such as Access, Excel, Power BI, and any other relevant software. Provide examples of how you've used these tools to create reports or dashboards in previous roles.

Showcase Communication Abilities: Since effective communication is key for this role, include examples of how you've successfully communicated complex data analyses to stakeholders. This could be through presentations, reports, or collaborative projects.

How to prepare for a job interview at Kalman & Company, Inc.

✨Showcase Your Analytical Skills

As an ORSA Analyst, your analytical skills are crucial. Be prepared to discuss specific examples of how you've used data analytics tools like Excel or Power BI in previous roles. Highlight any predictive models or trend analyses you've developed.

✨Understand the Client's Needs

Demonstrating a clear understanding of the Federal and DoD clients you'll be working with is key. Research Kalman & Company and their projects to show that you grasp the importance of their work and how your skills can contribute.

✨Communicate Effectively

Strong communication skills are essential for this role. Practice explaining complex data findings in simple terms, as you will need to convey your analysis to stakeholders who may not have a technical background.

✨Prepare for Technical Questions

Expect technical questions related to systems analysis and business intelligence. Brush up on your knowledge of current principles and practices in these areas, and be ready to discuss how you've applied them in your past experiences.

Operations Research Systems Analysis (ORSA) Analyst
Kalman & Company, Inc.

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