Jobs and Careers
AR
Data Scientist / Financial Business Analyst
Ardent Principles, IncUnited Statesfull_timeVerifiedPosted 8 May 2025
About the role
Data Scientist / Financial Business Analyst
Application Deadline: 12 May 2025
Department: Data Analysis and Technology Services
Employment Type: Full Time
Location: Chantilly, VA
Description
REQUIRED: Active TS/SCI with Full Scope Polygraph clearanceAre you ready to analyze and interpret complex financial and business data to drive business decisions? Ardent Principles is looking for a full-time Data Scientist/Financial Business Analyst to join our data analytics team onsite in Chantilly, VA.
If you enjoy using mathematical, statistical, or other data-driven analysis to address business; thrive on uncovering insights; and are ready to make a significant impact, this is the opportunity you've been waiting for. With a competitive salary and industry-leading benefits, Ardent Principles offers more than just a job - we offer a career path filled with growth and opportunities. Join us and let's shape the future together!
Who We Are:
We offer advanced services in data science, data engineering, software engineering, AI solutions, cybersecurity, staff augmentation, and IT program management.
Passionate Integrity, Driven by Excellence
"Ardent Principles" signifies our unwavering commitment to excellence, driven by a profound passion and a strict adherence to ethical values. We believe that happy employees make for happy clients. Our mission is to act as a bridge between satisfied clients and fulfilled employees, ensuring that your job and well-being are our top priorities because your satisfaction leads to the success of our clients.
Key Responsibilities
In this challenging yet rewarding role, you are an integral part of what brings our Company's mission to life. You must have the following required skills, certifications and demonstrated experience in and/or with:1. Two or more of the following disciplines: a. Business analytics b. Statistics c. Data verification and validation d. Data visualization
2. Applying qualitative and quantitative data analysis methods to business analytics problems.
3. Creating data visualization mockups, prototypes of visualizations, documenting work processes and effectively demonstrating products to technical and non-technical audiences.
4. Interpreting data models and working with a variety of data sources and structures.
5. Translating customer requirements into project or system specifications.
6. Strong interpersonal and communication skills.
7. Self-starter with the ability to decompose ambiguous problems into actionable plans.
8. Use of tableau, PowerBI, or similar interactive data visualization software.
9. Transforming, manipulating, and combining data using a programming language, such as Python.
10. Using a data preparation tool, such as Tableau Prep Builder.11. Use of Excel and SQL.
Highly Desired Qualifications
Other skills and demonstrated experiences that are highly desired but not mandatory to perform the work, include:- Data derived from technical missions, taskings, collection, processing, analysis, or dissemination.
- Visualization tools, such as Jupyter, Visio, SharePoint, or Confluence.
- APIs.
- Using GitHub, or similar version control systems.
- Using Python or R.
- Bachelor’s degree in Business Analytics, Statistics, Data Analytics, Computer Science, or Information Systems OR 4 years of relevant data analysis experience within the IC or military.
- Utilizing critical thinking and analytic judgements and applying programmatic, quantitative, and qualitative methods to identify patterns and relationships in disparate datasets.
- Using mathematical, statistical, or other data-driven analysis to address business questions.
- Interacting with customers to coordinate requirements and resolve data questions.
- Working independently or as a member of a team to research, organize, and analyze information.
- Documenting workflows.
- Working on several tasks simultaneously with minimal supervision.
- Providing analytical judgement and trend analysis based on research and comparisons with past products.
- Obtaining structured and unstructured data from multiple sources, synthesizing it, and presenting the results effectively and concisely in written and graphic form to internal and external stakeholders.
What We Offer You
- Highly Competitive Salary: Recognizing and rewarding your expertise and contributions.
- Generous Paid Time Off: Providing ample time for rest, relaxation, and personal pursuits.
- Dedicated Training Budget: Supporting continuous lear
Apply for this role
Generate a tailored application kit with a matched cover letter, interview prep, and CV highlights — in under 60 seconds.
Apply Now →Generate Application KitFree account required — sign up in 30s