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Capgemini

Data Analyst

Capgemini
Hopewell, NJ $43 - $67/hr Contract Posted 3d ago
Analyst Analytics Business Analytics Business Intelligence Data Analysis Data Analytics Data Integration Data Platform Data Processing Data Visualization Data Warehouse Database Databases Power BI Reporting and Analytics SQL
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Job Description

The contract Data Analyst role centers on interpreting data, building analytical processes, maintaining data systems, and enabling data driven decision making across clinical, commercial, and research functions. This onsite position is located in Hopewell, NJ, with an hourly compensation range of USD 43 to 67.

Responsibilities

  • Interpret data and analyze results using code and statistical techniques, including pharma and life sciences datasets.
  • Design and implement data analyses, data collection systems, and strategies to improve efficiency and quality across clinical, commercial, and research functions.
  • Analyze data from primary or secondary sources and maintain databases.
  • Collaborate with stakeholders to review and resolve data discrepancies in regulated environments.
  • Provide quality assurance of imported data.
  • Create and decommission datasets relevant to pharma and life sciences.
  • Process confidential data in alignment with 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.
  • Assist initiatives focused on data integrity and normalization across scientific and business units.
  • Assist with testing, evaluating, and implementing new or upgraded software and 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.

Requirements

  • 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.

Technologies

  • Power BI
  • PL/SQL
  • Oracle
  • PostgreSQL
  • MySQL
  • Python
  • SQL
  • SQL Developer
  • Visual Studio
  • Qlik

Benefits

  • Medical benefits
  • Dental benefits
  • Vision benefits
  • Retirement benefits

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