Data Analyst I

Washington, D.C. Metro - hybrid/remote

Ardent MC

Our digital transformation, data science and location intelligence solutions are proven to deliver client mission outcomes.

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Why do you need to choose between doing important work and having a fulfilling life? At Ardent, we have both. Ardent employees are committed to solving our customers’ most difficult problems—and we are committed to the well-being, personal goals, and professional development of our employee. We are “All In.” We put forth our strongest effort possible to get the mission accomplished and we do it together. We respect the skills and experience you bring to the Ardent team. And we provide a rewarding environment to help you succeed. 

We offer highly competitive benefits, professional development opportunities, and an exceptional culture that embraces flexibility, innovation, collaboration, and career growth. A collective service mindset underpins our work, and a shared camaraderie to serve clients, colleagues and our communities set us apart. Our full commitment to being "All In" for our employees and our clients is not just our approach, it is our standard. If this sounds like the perfect fit for you, choose Ardent and make a difference with us. 

Ardent is seeking a Data Analyst, Level I to join our team.  

This is a Hybrid / Remote position based in the Washington, DC area. 

Position Description:

Ardent is seeking a Data Analyst, Level I. The successful candidate will offer technical and subject matter expertise in the areas of financial and workforce modeling, business transformation, advanced data analytics, and strategy. While specific assignments will vary depending on staffing needs, examples of projects include the following:

  • Integrate data sets across multiple platforms that lead to a comprehensive view of workforce data and trends and inform recruitment and retention initiatives, programs, and policies.

    Develop analytical models and support data visualization to enhance analytic capabilities, improve access to data, and improve collaboration and information management.

    Collect and analyze staffing and workload data to create workload staffing model that calculates and visualizes staffing gaps to support future resource requests.

    Build and maintain dashboards that report on mission-critical activities and improve standardization, communication, and priority alignment to streamline reporting.

Responsibilities and Duties:

  • Leads, designs, or performs studies, analyses, assessments, surveys, or other research to address a wide range of challenges by applying appropriate analytical principles, approaches, methodologies, and techniques, in order to develop a sound basis for decision-making or resource allocation.
  • Applies mathematical, statistical, economic, and/or engineering methods, along with complex analytic, modeling, simulation, and measuring techniques, toward the conduct of operational and technical analyses and related benefit, cost, and risk assessments.
  • Ensures analytic processes align with appropriate reference standards and maturity models, and implements approaches that are Six Sigma and Define, Measure, Analyze, Improve, and Control (DMAIC) -based approaches, supported by appropriate tools and techniques.
  • Gathers and analyzes quantitative, qualitative, and other data; identifies relationships, sensitivities, and trends; and develops insights and recommendations based on substantiated findings.
  • Formulates and applies mathematical models and other optimization methods to interpret and apply information to assist management in decision-making, policy formulation, operations planning, or other managerial functions.
  • Uses, tailors, or develops decision analysis and decision support software, services, or products as appropriate for a task.
  • Applies system engineering (non-IT) theory and principles to problems of process or production, with the goal of enhancing effectiveness or efficiency outcomes.
  • Performs analyses and trade-off studies related to operational requirements or systems development; supports the life cycle development and acquisition of systems and technologies with appropriate analysis.
  • Ensures metrics and performance parameters considered in analysis appropriately reflect operational, technical, feasibility, cost, and risk requirements, conditions, and sensitivities.
  • Assists in the development of training for operational personnel.
  • Assists in the preparation, creation of reportable milestones and provides analysis for status reports and presentations for colleagues, subordinates, and supported organization representatives.

Requirements:  

  • Bachelor's Degree
  • 3-7 years of relevant experience
  • Strong experience in quantitative and qualitative analysis to identify trends and insights.
  • Experience in developing workforce, financial, or predictive models.
  • Proficiency in data visualization tools (e.g., Power BI, Tableau).
  • Familiarity with Six Sigma, DMAIC, or other process improvement methodologies.
  • Experience with data integration across multiple platforms for comprehensive analysis.
  • Strong problem-solving skills with experience in decision analysis and operational planning.

Preferred:

  • Active CBP Clearance

Due to the nature of the work we support, all candidates in consideration for this role must be willing to undergo the government issued background investigation process.

Ardent is an equal opportunity employer. We will not discriminate and will take affirmative action measures to ensure against discrimination in employment, recruitment, advertisements for employment, compensation, termination, upgrading, promotions, and other conditions of employment against any employee or job applicant on the bases of race, color, gender, national origin, age, religion, creed, disability, veteran's status, sexual orientation, gender identity or gender expression.

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* Salary range is an estimate based on our AI, ML, Data Science Salary Index 💰

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Category: Analyst Jobs

Tags: Data Analytics Data visualization Engineering Power BI Research Statistics Tableau

Perks/benefits: Career development Competitive pay

Regions: Remote/Anywhere North America
Country: United States

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