At a Glance
- Tasks: Lead data analysis projects and develop innovative solutions for the Department of Defense.
- Company: Kalman & Company is a dynamic firm focused on impactful data-driven decisions for government clients.
- Benefits: Enjoy a challenging role with opportunities for growth, collaboration, and hands-on experience in a fast-paced environment.
- Why this job: Make a real difference by tackling significant challenges while working with cutting-edge technologies and a supportive team.
- Qualifications: Bachelor's degree in a relevant field and 5+ years of experience in data analysis, preferably within DoD.
- Other info: Must be a US citizen with an active Secret Security Clearance or ability to obtain one.
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.
Kalman & Company is seeking a highly motivated, performance-driven individual with strong data analysis experience to work closely with our Department of Defense (DoD) client in the Northern VA area. Successful candidates will have excellent communication, quantitative, research, and analytical skills and the capability to lead, or principally contribute to, several of the largest and most significant studies in the company\’s portfolio. Experience in financial management, logistics, engineering, and/or program management domains are also preferred. As part of our team, you’ll help our Government clients make well-informed, data-driven decisions on some of the most impactful challenges facing the DoD. On-site support will be required as needed in the Quantico, VA and Stafford, VA areas.
A career with Kalman & Company is both rewarding and challenging. Our clients require skilled, hardworking, and innovative professionals who can meet the demands of a dynamic and fast-paced workplace. The analyst position will include, but is not limited to, the following capabilities:
Essential Job Functions:
- Architect, design, code, and implement next-generation data analytics using best practices in the latest technologies.
- Develop solutions to enable metadata/rules engine-driven data analytics application leveraging open source and/or cloud native components.
- Develop solutions in a highly collaborative and agile environment.
- Lead efforts in collecting, normalizing, and analyzing complex data.
- Work directly with stakeholders to understand their needs and requirements and apply these to the build/test phase of reports and dashboards.
- Identify opportunities to streamline reporting to make processes more automated and less manual.
- Develop and manage business intelligence solutions for the organization.
- Utilize data visualization tools like Power BI to deliver solutions sourcing a variety of data.
- 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 analysis.
- Collaborate with colleagues for the purpose of collecting and structuring data.
- Collect, audit, compile, and validate data from multiple sources.
- Interpret data, analyze results using statistical techniques or relational databases and produce ongoing as-needed reports to meet client and/or business needs.
- Communicate and work with diverse organizations and representatives for data collection, analysis, and results presentation.
- Provide thought leadership clearly demonstrating an understanding of the customer mission and innovative ideas to address business challenges of the customer.
- Work autonomously and as part of a team to meet organizational and project goals.
- Lead in the preparation of briefing materials and other communications packages presenting the results of analysis.
- Support on-site delivery in the Quantico and Stafford areas.
Skills and Qualifications Required:
- US Citizenship is required.
- Active Secret Security Clearance or ability to obtain a Secret Security Clearance.
- Proficiency in Microsoft Excel and experience working with large data sets.
- Advanced Microsoft Power BI skills, to include demonstrated development of models and data architectures using DAX and Power Query editor.
- Excellent data gathering and analytical skills.
- Excellent oral and written communication skills.
- Have a strong understanding of DoD systems and processes.
- Ability to lead detail-oriented tasks and multi-task under minimal supervision.
Education and Experience:
- Bachelor’s degree in Mathematics, Statistics, Computer Science, Physical Science, Engineering or related field
- 5+ years of experience supporting solutions implemented in DoD.
- Experience in statistical modeling.
- Experience with Power BI, Power Query, Power Automate, Power Apps, MS Excel, Python, and SQL.
- Experience using Python or R packages and libraries (e.g., scikit-learn, pandas, plotly, shiny, etc.) to develop predictive analyses and machine learning models.:
Preferred Experience:
- Preferred: Experience with cloud computing/storage, data lakes/warehouses.
- Preferred: Experience with Spark and ML applications.
- Preferred: Experience with Scala, Java
- Preferred: Experience with Robotic Process Automation (RPA) (e.g., UiPath)
- Preferred: Experience with Natural Language Processing (NLP)
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Lead Data Scientist/Data Analyst employer: Kalman & Company, Inc.
Contact Detail:
Kalman & Company, Inc. Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Lead Data Scientist/Data Analyst
✨Tip Number 1
Network with professionals in the defence and data analytics sectors. Attend industry events or webinars where you can meet people who work at Kalman & Company or similar organisations. Building these connections can provide valuable insights and potentially lead to referrals.
✨Tip Number 2
Familiarise yourself with the specific tools and technologies mentioned in the job description, such as Power BI, Python, and SQL. Consider taking online courses or certifications to enhance your skills and demonstrate your commitment to mastering these tools.
✨Tip Number 3
Prepare for potential interviews by practising how to explain complex data analysis concepts in simple terms. Since communication is key in this role, being able to convey your findings clearly will set you apart from other candidates.
✨Tip Number 4
Stay updated on current trends and challenges within the Department of Defense. Understanding the context in which Kalman & Company operates will help you tailor your discussions and show that you are genuinely interested in contributing to their mission.
We think you need these skills to ace Lead Data Scientist/Data Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, particularly in the context of the Department of Defense. Emphasise your skills in Microsoft Power BI, Python, and statistical modelling, as these are crucial for the role.
Craft a Compelling Cover Letter: In your cover letter, express your motivation for applying to Kalman & Company. Discuss how your background aligns with their needs, particularly your experience in leading data-driven projects and your understanding of DoD systems.
Showcase Your Technical Skills: Be specific about your technical skills in your application. Mention your proficiency in tools like Power BI, Excel, and any programming languages you are familiar with, such as Python or R. Provide examples of how you've used these skills in past roles.
Highlight Leadership Experience: Since the position requires leadership capabilities, include examples of times when you've led projects or teams. This could be in a professional setting or during academic projects, especially those related to data analysis or the DoD.
How to prepare for a job interview at Kalman & Company, Inc.
✨Showcase Your Technical Skills
Make sure to highlight your proficiency in tools like Power BI, Python, and SQL during the interview. Be prepared to discuss specific projects where you've used these technologies to solve complex data problems.
✨Demonstrate Your Analytical Thinking
Prepare examples that showcase your analytical skills, especially in statistical modelling and data analysis. Discuss how you've approached data-driven decision-making in previous roles, particularly in a DoD context.
✨Communicate Effectively
Since excellent communication is key for this role, practice explaining complex data concepts in simple terms. Be ready to discuss how you’ve collaborated with stakeholders to understand their needs and deliver actionable insights.
✨Understand the DoD Environment
Familiarise yourself with the Department of Defense systems and processes. Showing that you have a strong understanding of their operational challenges will demonstrate your readiness to contribute effectively from day one.