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ArdentMC

Financial Data Analyst

Reposted 16 Hours Ago
Remote
Mid level
Remote
Mid level
The Financial Data Analyst will provide complex financial analyses, conduct fraud detection analyses, develop data pipelines, and offer training to team members.
The summary above was generated by AI

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 looking for a Financial Data Analyst to join our team. The analyst will work closely with investigators, analysts, and program coordinators to provide high-quality complex financial analyses, fraud detection analyses, develop efficient data pipelines, and enhance analytical capabilities. 

This is a Remote opportunity at this time. 

Position Description:

Ardent is seeking a skilled Financial Data Analyst to support the Financial Analysis Program within the Office of Investigations. The analyst will work closely with investigators, analysts, and program coordinators to provide high-quality complex financial analyses, develop efficient data pipelines, and enhance analytical capabilities. This role includes training responsibilities, leading collaborative learning initiatives, and developing tools for data-driven decision-making in forensic accounting investigations related to healthcare fraud.

Responsibilities and Duties:

  • Financial Analysis Support:
  • Fraud Detection Analysis
  • Conduct detailed analyses of financial data to support investigations into healthcare fraud and related violations.
  • Utilize tools like CFIS, Checkwriter, Bankscan, Excel and OCR technology to standardize and analyze financial records efficiently.
  • Develop products and analyses to support expert testimony in legal proceedings.
  • Data Pipeline Development:
  • Design and implement repeatable, efficient data pipelines for wrangling, analysis, and visualization of financial datasets.
  • Automate workflows to improve the accuracy, speed, and scalability of data analysis.
  • Training & Knowledge Sharing:
  • Provide training to investigators and analysts on financial analysis tools and methodologies.
  • Lead communities of practice, virtual learning sessions, and one-on-one training or refresher sessions.
  • Develop and deliver training materials tailored to a variety of skill levels.
  • Collaboration & Documentation:
  • Partner with program coordinators and investigators to align analytical outputs with investigative needs.
  • Produce clear, detailed documentation to support training, workflows, and analysis methods.
  • Participate in knowledge-sharing initiatives to enhance team capabilities.

Qualifications: 

  • Experience with financial data analysis in an investigative or forensic accounting context, particularly healthcare fraud investigations.
  • Proficiency with tools such as CFIS, Checkwriter, Bankscan, and OCR technology, or the ability to quickly learn these platforms.
  • Strong skills in data wrangling, analysis, and visualization, with experience in developing repeatable workflows.
  • Experience in training and mentoring others, with a proven ability to lead collaborative learning efforts.
  • Excellent communication skills, both written and verbal, to produce technical documentation and present findings effectively.
  • Knowledge of scripting and automation to streamline analytical processes (e.g., Python, R, SQL).
  • Knowledge of visualization and analysis programs (e.g., PowerBI, Tableau, ArcGIS), or the ability to quickly learn these platforms. 

Preferred Skills: 

  • Certified Fraud Examiner (CFE).
  • Familiarity with financial analysis and fraud detection tools and methodologies.
  • Experience leading communities of practice or virtual learning sessions.
  • Knowledge of healthcare systems and regulations relevant to financial investigations.
  • Performed various duties, in limited levels of complexity, in the forensic examination and analysis of a variety of financial records and recordkeeping systems by utilizing accounting, auditing, analytical, technical, and investigative skills.
  • In addition to Forensic Accounting, this experience may also have been obtained in the following are-as, provided the purpose of the work was to uncover suspicious financial/fraudulent activity and/or to provide quantitative financial information suitable for a court of law. This experience must be addressed in the resume.
  • Public Accounting
  • Litigation Support and Dispute Services
  • Government Accounting/Auditing
  • Financial Services Industry (banking, investment advisory/asset management, securities trading/brokerage)
  • Corporate Accounting/Internal Auditing
  • Ability to present financial aspects of investigations and discuss case strategies with the investigative team, prosecuting attorneys, and OIG management.

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

Ardent is an equal opportunity employer. We will not discriminate 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, gender expression, or any other basis protected by state, local, or federal law.

Top Skills

Arcgis
Bankscan
Cfis
Checkwriter
Excel
Ocr Technology
Power BI
Python
R
SQL
Tableau

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