Guidehouse

Regulatory Data Analyst

Guidehouse

part-time

Posted on:

Location Type: Remote

Location: Remote • 🇺🇸 United States

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Salary

💰 $65,000 - $108,000 per year

Job Level

JuniorMid-Level

Tech Stack

ETLOraclePythonPyTorchSQLTableauTensorflow

About the role

  • Perform quality control checks and clean up large datasets to ensure accuracy and reliability.
  • Prepare and manipulate structured and unstructured datasets (e.g., Oracle, SQL, Excel, text, images) for use in regulatory monitoring and reporting efforts.
  • Develop coding and queries to support data testing and dashboard development using tools like Qlik, Tableau, and Power BI.
  • Use version control software (e.g., Git) to collaborate on data science projects.
  • Apply critical thinking and quantitative skills to conduct analyses on food and ingredient-related public and private datasets.
  • Research regulatory topics and prepare documentation (i.e. FOIA) summary reports, memoranda, abstracts, and publications.
  • Communicate technical concepts and findings to both technical and non-technical stakeholders.
  • Expand regulatory knowledge relevant to submissions, regulatory product safety, ingredient monitoring, and public health.

Requirements

  • US Citizenship is required
  • A bachelor's degree is required
  • A Minimum TWO (2) years of experience as a data analyst or in a similar role
  • Experience in working with unstructured data sources (e.g., text, images, audio) and structured data (i.e., Oracle, SQL, Microsoft Excel).
  • Knowledge of data visualization tools (e.g., Tableau, Power BI, R).
  • Strong understanding of data modeling, data warehousing, and ETL (Extract, Transform, Load) processes.
  • Excellent critical thinking and problem-solving skills.
  • Ability to communicate complex data insights and recommendations effectively to both technical and non-technical stakeholders.
  • Proven track record of delivering impactful data-driven projects or products.
  • Experience with health, clinical, or regulatory data is nice to have
  • Familiarity with statistical concepts and methods, such as regression analysis, hypothesis testing, and time series analysis.
  • Programming experience in Python, TensorFlow, PyTorch, or other relevant frameworks.
  • Knowledge of clinical or life science regulatory frameworks.
Benefits
  • Medical, Rx, Dental & Vision Insurance
  • Personal and Family Sick Time & Company Paid Holidays
  • Parental Leave
  • 401(k) Retirement Plan
  • Group Term Life and Travel Assistance
  • Voluntary Life and AD&D Insurance
  • Health Savings Account, Health Care & Dependent Care Flexible Spending Accounts
  • Transit and Parking Commuter Benefits
  • Short-Term & Long-Term Disability
  • Tuition Reimbursement, Personal Development, Certifications & Learning Opportunities
  • Employee Referral Program
  • Corporate Sponsored Events & Community Outreach
  • Care.com annual membership
  • Employee Assistance Program
  • Supplemental Benefits via Corestream (Critical Care, Hospital Indemnity, Accident Insurance, Legal Assistance and ID theft protection, etc.)

Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard skills
data analysisdata visualizationdata modelingdata warehousingETLprogramming in PythonTensorFlowPyTorchSQLOracle
Soft skills
critical thinkingproblem-solvingcommunicationcollaboration