Job Description

Choosing Capgemini means choosing a company where you will be empowered to shape your career in the way you’d like, where you’ll be supported and inspired by a collaborative community of colleagues around the world, and where you’ll be able to reimagine what’s possible. Join us and help the world’s leading organizations unlock the value of technology and build a more sustainable, more inclusive world.

About the job you’re considering:

The Data Analyst is responsible for interpreting complex datasets, developing analytical processes, and maintaining 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.

Your Role:

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.

Required Skills :

Strong analytical and problem-solving skills with exceptional attention to detail and accuracy.
Ability to analyze, model, and interpret data to produce meaningful insights.
Ability to plan work, manage multiple priorities, and meet deadlines.
Strong interpersonal, teamwork, written, and verbal communication skills.
Bachelor’s degree required, preferably in Business, Healthcare, Health Informatics, or a related field.

Preferred Skills and Experience:

Minimum 2 years of experience in technical data analysis, data science, or data warehousing.
Demonstrated business analysis experience, including requirements gathering and stakeholder collaboration.
Hands-on experience with Oracle, PL/SQL, PostgreSQL, MySQL, and Python.
Strong proficiency in writing, optimizing, and troubleshooting SQL queries.
Experience with reporting and development tools such as Power BI, SQL Developer, Visual Studio, and Qlik.
Experience working with pharmacy operations, pharmacy supply chains, and pharmacy-related data.
Consulting and/or Specialty Pharmacy (SP) experience preferred, including exposure to SP operations, SP data reporting, specialty drug development, or specialty medication lifecycle management.
Solid understanding of Entity-Relationship (ER) modeling and the ability to explore, profile, and prepare large datasets.
Knowledge of structured, semi-structured, and unstructured data formats.

The base compensation range for this role in the posted location is:$65,000 to $169,000.

Capgemini provides compensation range information in accordance with applicable national, state, provincial, and local pay transparency laws. The base compensation range listed for this position reflects the minimum and maximum target compensation Capgemini, in good faith, believes it may pay for the role at the time of this posting. This range may be subject to change as permitted by law.

The actual compensation offered to any candidate may fall outside of the posted range and will be determined based on multiple factors legally permitted in the applicable jurisdiction.

These may include, but are not limited to: Geographic location, Education and qualifications, Certifications and licenses, Relevant experience and skills, Seniority and performance, Market and business consideration, Internal pay equity.

It is not typical for candidates to be hired at or near the top of the posted compensation range.

In addition to base salary, this role may be eligible for additional compensation such as variable incentives, bonuses, or commissions, depending on the position and applicable laws.

Capgemini offers a comprehensive, non-negotiable benefits package to all regular, full-time employees. In the U.S. and Canada, available benefits are determined by local policy and eligibility and may include:

Paid time off based on employee grade (A-F), defined by policy: Vacation: 12-25 days, depending on grade, Company paid holidays, Personal Days, Sick Leave
Medical, dental, and vision coverage (or provincial healthcare coordination in Canada)
Retirement savings plans (e.g., 401(k) in the U.S., RRSP in Canada)
Life and disability insurance
Employee assistance programs
Other benefits as provided by local policy and eligibility

Important Notice: Compensation (including bonuses, commissions, or other forms of incentive pay) is not considered earned, vested, or payable until it becomes due under the terms of applicable plans or agreements and is subject to Capgemini’s discretion, consistent with applicable laws. The Company reserves the right to amend or withdraw compensation programs at any time, within the limits of applicable legislation.