Regulatory Data Analyst

Job Family:

Travel Required:

Clearance Required:

This position will aid our federal client's public health investigations across various information sources (e.g. scientific literature, public information websites, databases), building data repositories, integrating disparate data sources, improving data quality and developing and documenting methodology to answer regulatory safety\efficacy questions using a suite of analytical tools and visualization outputs (i.e. summary reports, dashboards).

What You Will Do:

• 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.

What You Will Need:

• 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.

What Would Be Nice To Have:

• Experience with health, clinical, or regulatory data
• 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

What We Offer:

Guidehouse offers a comprehensive, total rewards package that includes competitive compensation and a flexible benefits package that reflects our commitment to creating a diverse and supportive workplace.

Benefits include:

• 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