Data Analyst

Job not on LinkedIn

🔥 0 minutes ago

🦀 Maryland – Remote

🦀 Maryland – Remote

💵 $83.4k - $118.8k / year

⏰ Full Time

🟠 Senior

🔴 Lead

📉 Data Analyst

👻 Ghost score 0%

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US Pharmacopeia

WebsiteLinkedInAll Job Openings

1001 - 5000 employees

Founded 1820

🏥 Healthcare

📦 Logistics

💼 Consulting

Healthcare • Logistics • Consulting

US Pharmacopeia is a non-profit scientific organization that develops and publishes public quality standards, reference materials, and analytical guidance for medicines, dietary supplements, and food ingredients to protect patient and consumer safety worldwide. USP provides over 7,000 reference standards, verification and audit programs, training and technical guidance (including for biologics, gene therapies, and impurities), and data-driven tools to strengthen medicine supply chains and regulatory predictability.

📋 Description

• Gather, clean, preprocess, and maintain datasets from the Medicine Supply Map and related sources • Conduct statistical analysis and hypothesis testing to uncover trends, patterns, and anomalies • Design, plan, and execute data quality and testing activities • Validate datasets, uncover data issues, check pipeline integrity, and implement consistency checks • Participate in data-driven testing, including scripted or parameterized tests • Develop dashboards, visualizations, and reports using Python (Pandas, Matplotlib), R, SQL, Tableau, or SAS • Monitor data pipelines, verify data flow correctness, and troubleshoot discrepancies • Collaborate with stakeholders to define reporting needs and deliver actionable insights • Perform root cause and diagnostic analytics to understand supply disruptions or demand shifts • Share insights through presentations, written reports, and visual storytelling • Document testing procedures, data validation steps, and analytical methodology • Stay current on emerging analytics, testing tools, and best practices in healthcare/pharmaceutical data

🎯 Requirements

• Master’s degree in Computer Science, Mathematics, Public Health, Statistics, Engineering, or a related field • Proficiency in data cleaning, transformation, and analysis using Python (Pandas), R, SQL, Tableau, SAS, or similar tools • Strong statistical foundation, including hypothesis testing, trend analysis, descriptive and diagnostic statistics • Experience building dashboards or visualizations • Excellent analytical thinking and attention to detail • Ability to translate business questions into data queries • Strong communication skills and ability to present complex findings to non-technical audiences • Ability to collaborate with cross-functional teams and manage multiple data requests • Eagerness to learn and adapt in a fast-paced, healthcare or pharmaceutical-oriented environment • Experience working in healthcare, pharmaceutical supply chains, or life sciences domains • Familiarity with IBM Cognos or Power BI • Experience with ETL/pipeline frameworks such as Kedro or Airflow • Previous project experience using Python, R, or SQL in predictive modeling, dashboarding, data mining, or statistical analysis • Prior roles involving data storytelling or decision support in healthcare settings • 10 years of technical professional working experience

🏖️ Benefits

• Company-paid time off • Comprehensive healthcare options • Retirement savings • Target annual bonus of 10%