Roche
Roche is hiring a Data & Analytics Specialist in Chennai, Tamil Nadu. This opportunity is suitable for professionals with 2–5 years of experience in data analytics who want to apply their technical skills to healthcare data, patient experience, and patient access initiatives.
The role focuses on transforming complex datasets into actionable insights using SQL, Python, and Microsoft Excel to support business decisions and improve patient access strategies.
Job Overview
| Job Detail | Information |
|---|---|
| Company | Roche |
| Job Title | Data & Analytics Specialist |
| Location | Chennai, Tamil Nadu, India |
| Employment Type | Full-time |
| Experience | 2–5 years |
| Workstream | Patient Experience (Px) |
| Key Skills | SQL, Python, Advanced Excel, Data Analysis |
| Preferred Experience | Pharmaceutical and patient analytics |
| Industry | Healthcare / Pharmaceuticals / Diagnostics |
| Application Mode | Online |
About Roche
Roche is a global healthcare company focused on advancing science, developing medicines, and providing diagnostic solutions. The company works to improve healthcare outcomes and expand access to healthcare worldwide.
This position supports Roche’s Patient Experience workstream through data analysis, reporting, and insights that can help inform patient access strategies.
Job Description
As a Data & Analytics Specialist, you will analyze healthcare and patient-related datasets to identify trends, patterns, and opportunities for improvement. You will work with business stakeholders to understand requirements, develop analytical solutions, and produce reliable reports and dashboards.
The role requires strong technical capabilities in Excel, SQL, and Python, along with analytical thinking and the ability to communicate findings clearly. Experience with pharmaceutical datasets and patient analytics is preferred.
Key Responsibilities
1. Healthcare Data Analysis
- Analyze and interpret complex datasets related to patient access and healthcare programs.
- Identify trends, patterns, and anomalies in patient and pharmaceutical datasets.
- Translate data findings into actionable insights for business decisions.
- Support patient access strategies through data-driven recommendations.
2. Dashboard Development and Reporting
- Develop, maintain, and optimize dashboards and reports.
- Use Microsoft Excel and other analytical tools to track relevant metrics.
- Present analytical findings to support the Patient Experience workstream.
- Deliver clear and accurate reports for business stakeholders.
3. SQL and Database Management
- Write efficient SQL queries to extract and analyze data.
- Manage and work with large datasets stored in relational databases.
- Support data extraction, transformation, and analysis requirements.
- Ensure datasets are structured appropriately for analytical use.
4. Python-Based Data Processing
- Clean, validate, and transform datasets using Python.
- Apply libraries such as Pandas and NumPy for data manipulation.
- Identify and resolve data inconsistencies.
- Prepare reliable datasets for reporting and further analysis.
5. Cross-Functional Collaboration
- Collaborate with teams to understand business requirements.
- Translate business needs into analytical solutions.
- Communicate findings and recommendations to relevant stakeholders.
- Support data-informed decisions across patient experience initiatives.
6. Data Quality and Compliance
- Maintain data accuracy, integrity, and consistency.
- Validate datasets before analysis and reporting.
- Follow applicable industry standards and data compliance requirements.
- Support reliable and responsible use of healthcare data.
Eligibility Criteria
Candidates interested in this opportunity should meet the following requirements:
- Experience: 2–5 years in a Data Analyst or similar role.
- Education: Specific degree requirements were not provided in the supplied listing.
- Technical expertise: Strong proficiency in Excel, SQL, and Python.
- Data experience: Familiarity with large datasets and relational databases.
- Analytical ability: Strong problem-solving and critical-thinking skills.
- Communication: Ability to explain findings clearly and work with stakeholders.
Required Technical Skills
Microsoft Excel
- Advanced Excel functions.
- Pivot tables.
- Data modeling and reporting.
SQL
- Data extraction and querying.
- Data transformation.
- Working with relational databases.
Python
- Data cleaning and manipulation.
- Pandas and NumPy.
- Data validation and transformation.
Additional Skills
- Dashboard development and reporting.
- Healthcare data analysis.
- Data quality management.
- Stakeholder communication.
- Analytical problem-solving.
Preferred Qualifications
The following experience can strengthen a candidate’s application:
- Experience working with pharmaceutical datasets.
- Knowledge of patient analytics and patient journeys.
- Familiarity with patient adherence and patient access programs.
- Understanding of healthcare data standards and compliance requirements.
These are preferred qualifications in the supplied listing, rather than universal requirements for every applicant.
Who Should Apply?
This opportunity may be suitable for:
- Data Analysts with 2–5 years of professional experience.
- Professionals proficient in SQL, Python, and advanced Excel.
- Candidates with experience analyzing large datasets.
- Analysts interested in healthcare, pharmaceutical, or patient-related analytics.
- Professionals with prior exposure to patient access, patient journeys, or healthcare reporting.
Candidates with strong general data analytics skills can also review the opportunity, particularly if they are interested in developing expertise in healthcare analytics.
Career Opportunities
This role provides exposure to several valuable areas of analytics, including:
- Healthcare and pharmaceutical data analysis.
- Patient experience and access analytics.
- SQL-based data querying.
- Python-based data processing.
- Dashboard development and business reporting.
- Data quality, integrity, and compliance.
These skills can support further growth in healthcare analytics, business intelligence, and data analysis roles.
How to Apply for Roche Data & Analytics Specialist
Interested and eligible candidates can submit their applications through Roche’s official careers website.
Apply online: Roche Data & Analytics Specialist – Official Careers Portal
View the LinkedIn job listing: Data & Analytics Specialist at Roche, Chennai
Before applying, update your resume to highlight SQL queries, Python libraries such as Pandas and NumPy, advanced Excel, dashboard development, and experience working with large datasets. Candidates with pharmaceutical or patient analytics experience should highlight relevant projects as well.
Final Note
The Roche Data & Analytics Specialist position offers an opportunity for experienced analysts to apply their technical expertise to patient experience and healthcare analytics. Candidates with 2–5 years of experience and strong SQL, Python, and Excel skills can review the official requirements and apply online.
Disclaimer: This article is based on the supplied job listing. Salary, specific educational requirements, and additional benefits were not specified. Verify the latest details on Roche’s official careers portal before applying.
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