Data Analyst- Pharma Industry Mandatory- II

Capgemini•Bridgewater, NJ

6d•$76,000 - $187,000•Onsite

About The Position

Capgemini is seeking a Data Analyst to interpret complex datasets, develop analytical processes, and maintain data systems to support data-driven decision-making across the organization. This role partners closely with technical teams and business stakeholders to ensure data accuracy, integrity, and availability while delivering actionable insights through reports, dashboards, and advanced analytics. The Data Analyst ensures compliance with data governance standards and supports enterprise initiatives related to reporting, analytics, and system enhancements.

Requirements

A bachelor’s degree, preferably in Business, Healthcare, Health Informatics, or a related field.
Leadership, technical expertise, and project management skills.
Ability to leverage data to drive business growth, optimize processes, and enable informed decision making.

Responsibilities

Interpret data and analyze results using statistical techniques, programming, and analytical tools.
Design, develop, and implement data analyses, data collection systems, and methodologies that improve efficiency and data quality.
Analyze data from primary and secondary sources; maintain and enhance databases and reporting environments.
Collaborate with stakeholders to review, investigate, and resolve data inconsistencies and discrepancies.
Perform quality assurance and validation of imported, transformed, and reported data.
Commission, manage, and decommission datasets in alignment with business and governance requirements.
Process confidential and sensitive data in accordance with organizational policies and regulatory guidelines.
Develop, maintain, and present reports, dashboards, and analytical summaries for operational and executive audiences.
Design and manage the reporting environment, including data sources, metadata, security controls, and access permissions.
Support data warehouse initiatives by identifying, documenting, and revising reporting and data requirements.
Support data integrity, normalization, and standardization initiatives across systems.
Assist in testing, evaluating, and implementing new or upgraded applications, tools, and reporting solutions.
Generate and automate reports from single and multiple source systems.
Troubleshoot reporting databases, queries, dashboards, and data pipelines.
Assess and validate the impact of changes to source production systems on downstream reporting and analytics.
Train and support end users on new reports, dashboards, and analytics capabilities.
Provide technical expertise in data storage, data mining, data cleansing, and data preparation techniques.