Statistician/Data Analyst

Company Overview

We are a world-class team of professionals who deliver next generation technology and products in robotic and autonomous platforms, ground, soldier, and maritime systems in 50 locations world-wide. Much of our work contributes to innovative research in the fields of sensor science, signal processing, data fusion, artificial intelligence (AI), machine learning (ML), and augmented reality (AR).

QinetiQ US’s dedicated experts in defense, aerospace, security, and related fields all work together to explore new ways of protecting the American Warfighter, Security Forces, and Allies. Being a part of QinetiQ US means being central to the safety and security of the world around us. Partnering with our customers, we help save lives; reduce risks to society; and maintain the global infrastructure on which we all depend.

Why Join QinetiQ US?

If you have the courage to take on a wide variety of complex challenges, then you will experience a unique working environment where innovative teams blend different perspectives, disciplines, and technologies to discover new ways of solving complex problems.  In our diverse and inclusive environment, you can be authentic, feel valued, be respected, and realize your full potential. QinetiQ US will support you with workplace flexibility, a commitment to the health and well-being of you and your family and provide opportunities to work with a purpose. We are committed to supporting your success in both your professional and personal lives.

Position Overview

QinetiQ US seeks a highly skilled Statistician/Data Analyst responsible for analyzing and interpreting complex data sets, providing insights, and driving data-informed decision-making processes. Your expertise in data analysis, management, and reporting will be instrumental in optimizing business operations, identifying trends, and supporting strategic initiatives. 

Responsibilities

• Collect, analyze, and interpret large and complex data sets from various sources. 
• Utilize statistical techniques, data mining, and predictive modeling to extract meaningful insights and identify trends. 
• Identify patterns, correlations, and relationships within the data to inform business strategies and decision-making. 

• Develop and generate reports, dashboards, and visualizations to communicate data insights to stakeholders. 
• Present findings in a clear and concise manner, tailored to the intended audience. 
• Collaborate with cross-functional teams to ensure data-driven reports and visualizations meet business requirements. 

• Develop and implement data management processes and procedures to ensure data integrity and accuracy. 
• Perform data cleaning, transformation, and validation to maintain high-quality data sets. 
• Collaborate with IT teams to optimize data storage, retrieval, and integration processes. 

• Design and develop key performance indicators (KPIs) to track and measure business performance. 
• Establish benchmarks and targets for KPIs and monitor progress over time. 
• Analyze performance metrics to identify areas for improvement and recommend strategies for optimization. 

• Identify opportunities for process improvement and optimization based on data analysis and business insights. 
• Collaborate with stakeholders to develop and implement strategies to enhance operational efficiency and effectiveness. 
• Conduct cost-benefit analyses and evaluate the impact of proposed process improvements. 

• Ensure compliance with data governance policies, procedures, and regulations. 
• Collaborate with internal stakeholders to establish data standards and data management best practices. 
• Stay updated on data privacy and security regulations and ensure data handling practices adhere to relevant guidelines. 

• Collaborate with business stakeholders to understand their analytical needs and provide data-driven insights. 
• Consult with stakeholders to define requirements, prioritize projects, and deliver actionable recommendations. 
• Serve as a subject matter expert on data analysis and management techniques, providing guidance and support to colleagues. 

Required Qualifications

• Bachelor’s Degree in Statistics, Data Science, Business Analytics or comparable field of study is required.
• Three to ten years of experience and a Bachelor’s degree, or two to eight years of work experience and a Master’s degree.
• Strong expertise in data analysis techniques, statistical modeling, and data visualization tools. 
• Proficiency in programming languages such as Python, R, SQL, or similar languages used in data analysis. 
• Experience with data visualization tools and platforms, such as Tableau, Power BI, or similar applications. 
• Solid understanding of data management principles, data governance, and data quality assurance. 
• Strong analytical and problem-solving skills, with the ability to translate complex data into actionable insights. 
• Excellent communication and presentation skills, with the ability to effectively convey technical concepts to both technical and non-technical stakeholders. 
• Proven ability to work with cross-functional teams and manage multiple projects and priorities simultaneously. 
• Strong attention to detail, with a focus on delivering accurate and reliable results. 
• Familiarity with relevant industry regulations, such as data privacy and security requirements. 
• Ability to maintain discretion and confidentiality of sensitive information. 
• Ability to maintain a security clearance from the U.S. government. 

Preferred Qualifications

What Sets You Apart: (Preferred Qualifications) 

• Experience setting and managing client relationships and expectations. 
• Experience effectively communicating with diverse team, client, and organizational stakeholders. 
• Ability to set priorities, plan, and organize tasks and deliverables as needs evolve. 
• Previous experience working for a federal government client in the national security space. 

Company EEO Statement

Accessibility/Accommodation:

If because of a medical condition or disability you need a reasonable accommodation for any part of the employment process, please send an e-mail to staffing@us.QinetiQ.com or call (540) 658-2720 Opt. 4 and let us know the nature of your request and contact information.

QinetiQ US is an Equal Opportunity/Affirmative Action employer. All Qualified Applicants will receive equal consideration for employment without regard to race, age, color, religion, creed, sex, sexual orientation, gender identity, national origin, disability, or protected Veteran status.