Data Analyst

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 Data Analyst responsible for collecting, analyzing, and interpreting data to drive informed business decisions and improve operational efficiency. Your expertise in utilizing Microsoft Power Suite, Python programming, data visualization, and SQL will be crucial in extracting insights from complex datasets and providing valuable recommendations to stakeholders. Responsibilities Data Analysis and Interpretation: Collect, organize, and analyze large datasets using various tools and techniques, ensuring data integrity and accuracy. Apply statistical methods to identify trends, patterns, and correlations in the data, translating findings into actionable insights. Interpret data and present findings to stakeholders in a clear and concise manner. Data Visualization: Design and create visually appealing and interactive dashboards, reports, and visualizations using tools such as Microsoft Power BI, Tableau, or similar platforms. Develop intuitive and user-friendly data visualizations to effectively communicate complex information to non-technical stakeholders. Continuously enhance data visualizations to improve data storytelling and maximize impact. Data Management: Develop and maintain data pipelines and workflows to ensure efficient data collection, storage, and retrieval. Perform extract, transform, and load (ETL) on data sets as required to ensure that the visualization platform is receiving well-behaved and properly formatted data. Ensure data quality and consistency by implementing data cleaning, transformation, and validation processes. Collaborate with cross-functional teams to establish data governance frameworks and adhere to data management best practices. Inform other data science team members and stakeholders about changes to databases and other data sources that impact the maintenance or ongoing development of a stakeholder dashboard. Business Insights and Reporting: Collaborate with business stakeholders to understand their requirements and deliver actionable insights based on data analysis. Generate regular reports and presentations to communicate findings, trends, and performance metrics to management. Provide recommendations for process improvements, cost optimization, and strategic decision-making based on data-driven insights. Programming and Database Skills: Utilize Python programming for data manipulation, extraction, and transformation tasks. Query databases using SQL to retrieve and analyze data efficiently. Collaborate with data engineering teams to optimize data pipelines and enhance database performance. Required Qualifications Bachelor's degree in a relevant field, such as Data Science, Statistics, Business Analytics, or a related discipline. A master's degree is preferred. Proven experience (three to eight years) as a Data Analyst, Management Analyst, or similar role. Strong judgement and ability to navigate stakeholder priorities and interests and solve client challenges and problems. Entrepreneurial spirit with the ability to learn new issues and plans, design and implement internal and external initiatives that advance client leaderships’ priorities. Proficiency in Microsoft Power Suite, including Power BI, Excel, and PowerPoint. Strong programming skills in Python for data manipulation and analysis tasks. Experience with SQL for querying databases and retrieving data. Familiarity with data visualization tools such as Tableau, Microsoft Power BI, or similar platforms. Strong analytical and problem-solving abilities, with a keen attention to detail. Excellent communication and presentation skills, with the ability to convey complex information to non-technical stakeholders. Ability to work collaboratively in cross-functional teams and manage multiple priorities. Knowledge of statistical analysis techniques and data modeling concepts is a plus. Creativity, teamwork, and time management skills. Comfortable with shifting priorities and the ability to navigate complex stakeholder requests. Excellent interpersonal, communication, and organizational skills. Data Analytics / Visualization Tools skills are desired. Agile/Scrum Master experience desired. Strong business writer and communicator. Analytical mindset and intellectual curiosity. Ability to manage multiple priorities and quick turn deliverables. Ability to thrive in a dynamic, team-based work environment. Ability to interact professionally and confidently with client leadership and executives. Ability to quickly learn and master complex concepts and terminology. Attention to detail. Ability to maintain discretion and confidentiality of sensitive information. Ability to maintain a security clearance from the U.S. government. Preferred Qualifications Experience setting and managing client relationships and expectations. Experience effectively communicating with team, client, and company stakeholders. Ability to set priorities, plan, and organize tasks and deliverables as needs evolve. Previous experience working for a federal government client. 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 View email address on click.appcast.io or call View phone number on click.appcast.io 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. #J-18808-Ljbffr