Data Analyst
Virtue America · United States
Tailor my CV for this job — freeThe selected candidate will work with datasets related to manufacturing performance, quality metrics, laboratory results, clinical research, and supply chain activities. This role is ideal for recent graduates with a background in life sciences who want to apply analytical and problem-solving skills to improve data accuracy, operational visibility, and evidence-based decision-making in a regulated industry.
Key Responsibilities
Data Collection and Consolidation: Gather, organize, and consolidate data from approved laboratory systems, manufacturing records, quality databases, clinical research records, and operational reports.Data Cleaning and Validation: Review datasets for missing values, duplicate records, inconsistencies, and formatting errors while following established data verification procedures.Reporting and Dashboard Development: Prepare routine reports, summary tables, charts, and dashboards to communicate trends in quality, production, inventory, and other business or scientific metrics.Trend Analysis: Analyze historical data to identify patterns, unusual variations, recurring issues, and potential opportunities for operational improvement.Pharmaceutical Data Support: Assist with reviewing data associated with batch production, laboratory testing, quality events, material usage, and product performance.Clinical Research Data Support: Where applicable, help organize clinical study datasets, track data queries, and identify incomplete or inconsistent entries for review by authorized research personnel.Quality Metrics Monitoring: Track indicators such as deviations, CAPA status, laboratory turnaround times, production yield, and documentation completion.Spreadsheet Management: Develop and maintain Excel-based trackers, pivot tables, formulas, and recurring reports to support daily operational activities.Database Maintenance: Update approved databases and reporting systems while ensuring information is recorded consistently and access requirements are followed.Data Integrity and Documentation: Maintain traceable records of data updates, calculations, report versions, and analytical methods in accordance with company procedures.Process Improvement Support: Assist in identifying reporting inefficiencies and opportunities to improve data accuracy, workflow visibility, and reporting consistency.Cross-Functional Collaboration: Work with Quality Assurance, Quality Control, Manufacturing, Clinical Research, Regulatory Affairs, and Supply Chain teams to understand reporting requirements and deliver accurate analytical outputs.
Required Skills
Basic understanding of pharmaceutical, laboratory, clinical research, or life sciences operations.Strong Microsoft Excel skills, including formulas, sorting, filtering, pivot tables, and chart creation.Familiarity with data cleaning, data validation, descriptive statistics, and basic trend analysis.Knowledge of data visualization tools such as Power BI or Tableau is an advantage.Basic SQL or database knowledge is preferred but not mandatory for candidates with strong analytical skills.Awareness of data integrity, confidentiality, Good Documentation Practices (GDP), and regulated data-handling requirements.Ability to interpret numerical information and communicate findings through clear reports and visualizations.Strong attention to detail, logical reasoning, and problem-solving skills.Excellent written and verbal communication skills.Ability to manage multiple reporting requests and meet deadlines.Preferred: Academic projects, internships, or practical exposure to laboratory data, clinical research datasets, pharmaceutical quality metrics, manufacturing reports, or scientific data analysis.