Data Analyst - Pharma

Position: Data Analyst - Pharma Experience Required
Location: Titusville

JD:
Role name:
Data Analyst - Pharma Experience Required
Work site:
Titusville, NJ - onsite (local only)
Contract

Job description:

Local to Titusville, NJ only.

The Data Analyst is responsible for interpreting data, developing analytical processes, maintaining data systems, and enabling data-driven decision-making across the organization.

Your role is to:
- Interpret data and analyze results using code and statistical techniques, including pharma and life sciences datasets.
- Develop and implement data analyses, data collection systems, and strategies that improve efficiency and quality across clinical, commercial, and research functions.
- Analyze data from primary or secondary sources and maintain databases.
- Coordinate with stakeholders to review and resolve data discrepancies in regulated environments.
- Provide quality assurance of imported data.
- Commission and decommission datasets relevant to pharma and life sciences.
- Process confidential data according to guidelines and compliance frameworks.
- Develop reports, dashboards, and analysis summaries for stakeholders.
- Manage and design the reporting environment, including data sources, security, and metadata.
- Support data warehouse requirements including pharma data.
- Support initiatives focused on data integrity and normalization across scientific and business units.
- Assist with testing, assessing, and implementing new or upgraded software and commercial analytics platforms.
- Generate reports from single or multiple systems.
- Troubleshoot reporting databases and reports.
- Evaluate changes to source production systems.
- Train end users on new reports and dashboards.
- Provide technical expertise in data storage, data mining, and data cleansing.

Required:

- Experience with pharma, biotech, or life sciences data, along with strong analytical skills and high attention to detail and accuracy.
- Ability to analyze, model, and interpret data including clinical, commercial, or scientific datasets.
- Ability to plan work and meet deadlines.
- Interpersonal, teamwork, written, and verbal communication skills.

Preferred

Skills:

- Minimum 2 years of technical data analysis, data science, or data warehousing experience.
- Proven business analysis experience.
- Hands-on experience with Oracle, PL/SQL, Postgre

SQL, MySQL, Python.
- Strong SQL skills.

- Experience with Power BI, SQL Developer, Visual Studio, Qlik.
- Understanding of Entity-Relationship models for clinical data.
- Knowledge of structured, unstructured, and semi-structured data formats including clinical notes, safety narratives, and commercial data feeds.