Axtria Hiring Associate/Senior Associate – Commercial Life Sciences Analytics | Decision Intelligence in Gurugram
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(Axtria Hiring Associate/Senior Associate – Commercial Life Sciences Analytics) |
Introduction
The pharmaceutical industry is rapidly embracing data-driven decision-making, creating strong demand for professionals skilled in commercial analytics, business intelligence, artificial intelligence, and life sciences data analysis. Axtria has announced an exciting opportunity for the position of Associate/Senior Associate – Commercial Life Sciences Analytics | Decision Intelligence at its Gurugram office.
This role is ideal for professionals who want to combine pharmaceutical knowledge with advanced analytics, data science, SQL, Python, business intelligence, and commercial strategy. Candidates with experience in pharmaceutical analytics, market intelligence, patient analytics, forecasting, brand performance reporting, and AI-driven decision-making can find excellent career growth opportunities through this position.
If you are looking for Pharma Analytics Jobs, Commercial Analytics Jobs, Pharmaceutical Data Science Careers, Business Intelligence Jobs, or Life Sciences Analytics Opportunities in India, this Axtria recruitment could be an excellent career move.
About Axtria
Axtria is a globally recognized analytics and consulting company specializing in cloud software, artificial intelligence, commercial analytics, and decision intelligence solutions for pharmaceutical, biotechnology, and life sciences organizations.
Founded in 2010, Axtria is headquartered in Berkeley Heights, New Jersey, United States. The company serves many of the world's leading pharmaceutical and life sciences organizations by helping them improve commercial effectiveness through data-driven insights, advanced analytics, machine learning, and business intelligence solutions.
With thousands of employees worldwide, Axtria has established itself as a leader in pharmaceutical commercial analytics, AI-powered decision intelligence, and healthcare data solutions. The company continues to expand its global presence while providing employees with exposure to cutting-edge technologies and innovative pharmaceutical analytics projects.
Job Overview Summary
Axtria is seeking talented professionals for its Commercial Life Sciences Analytics team. The selected candidates will work on real-world pharmaceutical business challenges, helping global life sciences clients make informed commercial decisions through data analytics and advanced statistical modeling.
This position combines pharmaceutical industry knowledge with analytical expertise and offers exposure to commercial analytics, segmentation analysis, marketing effectiveness studies, business intelligence reporting, machine learning applications, patient analytics, and data visualization.
Candidates will collaborate with global stakeholders, develop analytical recommendations, and contribute to decision intelligence solutions that directly impact pharmaceutical business performance.
Vacancy Details
| Particular | Details |
|---|
| Company | Axtria |
| Position | Associate / Senior Associate – Commercial Life Sciences Analytics |
| Department | Decision Intelligence |
| Job Type | Full-Time |
| Location | Gurugram, Haryana |
| Industry | Pharmaceutical Analytics & Life Sciences |
| Experience | 1.5–8 Years |
| Qualification | BE, B.Tech, B.Pharm, M.Pharm, MBA, M.Tech |
Job Role Explanation
What Will You Do in This Role?
As an Associate or Senior Associate in Axtria's Commercial Life Sciences Analytics team, your primary responsibility will be transforming pharmaceutical and healthcare data into actionable business insights.
You will work with large datasets, advanced analytical models, commercial pharmaceutical databases, and business intelligence platforms to help pharmaceutical companies improve their commercial performance.
Your role may include:
Commercial Analytics
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Evaluating pharmaceutical market performance
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Assessing product adoption trends
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Measuring commercial effectiveness
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Supporting brand strategy decisions
Advanced Analytics
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Statistical modeling
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Predictive analytics
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Patient behavior analysis
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Market segmentation studies
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Commercial forecasting
Business Intelligence
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Dashboard development
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Data visualization
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Performance reporting
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KPI tracking
Client Engagement
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Working with global pharmaceutical clients
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Presenting analytical findings
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Delivering strategic recommendations
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Supporting decision-making processes
This role is ideal for candidates interested in pharmaceutical consulting, healthcare analytics, commercial strategy, and AI-driven business intelligence.
Key Responsibilities
Selected candidates may be responsible for:
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Solving commercial life sciences business challenges
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Designing analytical frameworks and methodologies
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Conducting advanced pharmaceutical data analysis
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Developing reports and business dashboards
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Creating client-ready analytical presentations
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Generating actionable business recommendations
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Supporting machine learning and AI initiatives
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Participating in innovation and automation projects
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Collaborating with international stakeholders
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Mentoring junior analysts when required
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Contributing to internal analytical solution development
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Supporting business intelligence and data visualization initiatives
Eligibility Criteria
Applicants should possess any of the following qualifications:
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B.Pharm
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M.Pharm
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BE
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B.Tech
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MBA
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M.Tech
Experience Requirement
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Minimum: 1.5 Years
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Maximum: 8 Years
Candidates should preferably have prior experience in:
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Pharmaceutical Analytics
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Commercial Analytics
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Life Sciences Analytics
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Healthcare Analytics
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Data Science
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Business Intelligence
Skills Required
The ideal candidate should possess strong expertise in:
Technical Skills
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SQL
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Python
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R Programming
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Power BI
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Dataiku
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KNIME
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Alteryx
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Advanced Excel
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Data Visualization
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AI & Machine Learning
Pharmaceutical Analytics Skills
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Commercial Analytics
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Xponent Data Analysis
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LAAD/APLD
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PlanTrak
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Formulary Analytics
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Patient Analytics
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Segmentation Analytics
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Key Driver Analysis
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Marketing Mix Modeling (MMM)
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Brand Performance Reporting
Professional Skills
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Problem Solving
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Communication Skills
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Business Presentation Skills
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Stakeholder Management
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Analytical Thinking
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Project Collaboration
Salary Estimate
Axtria has not officially disclosed the salary package for this position.
Based on similar Commercial Analytics and Life Sciences Analytics roles in India, professionals may expect:
Estimated Salary Range
₹8 LPA – ₹22 LPA
Salary may vary depending on:
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Educational qualification
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Experience level
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Technical expertise
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Analytics platform knowledge
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Interview performance
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Internal compensation policies
Candidates with strong SQL, Python, AI/ML, and pharmaceutical commercial analytics experience may command higher salary packages.
Why Join Axtria?
Joining Axtria offers several career advantages:
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Work with global pharmaceutical companies
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Exposure to advanced analytics technologies
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Opportunity to work on AI and machine learning projects
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Career progression in life sciences consulting
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International client exposure
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Collaborative learning culture
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Participation in innovation initiatives
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Strong professional development opportunities
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Access to modern analytics platforms
Interview Details
The company has not officially disclosed the interview process.
However, candidates can generally expect:
Possible Selection Process
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Resume Screening
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HR Discussion
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Technical Analytics Assessment
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SQL/Python Evaluation
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Business Case Study Discussion
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Hiring Manager Interview
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Final HR Round
Required Documents
Candidates should keep the following documents ready before applying:
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Updated Resume/CV
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Educational Certificates
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Graduation Mark Sheets
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Postgraduate Certificates (if applicable)
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Experience Certificates
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Salary Documents
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Identity Proof
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Passport-size Photograph
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Skill Certifications (SQL, Python, Analytics, etc.)
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Current Employment Documents (if applicable)
How to Apply
Interested and eligible candidates can apply by sending their updated resume.
Email ID
deepika.biswas@axtria.com
Subject Line
Application for Associate/Senior Associate – Commercial Life Sciences Analytics
Location
Gurugram, Haryana
Before submitting your application, ensure your resume highlights:
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Pharmaceutical Analytics Experience
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SQL Skills
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Python Experience
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Commercial Analytics Projects
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Business Intelligence Expertise
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Data Science Achievements
Frequently Asked Questions (FAQs)
Is this role suitable for B.Pharm candidates?
Yes. B. Pharm candidates with analytics, business intelligence, SQL, Python, or pharmaceutical commercial analytics experience are eligible.
Is prior pharmaceutical analytics experience mandatory?
Candidates with relevant life sciences analytics, healthcare analytics, or commercial analytics experience will have a strong advantage.
What technologies are preferred for this role?
SQL, Python, R, Power BI, Dataiku, KNIME, Alteryx, and advanced analytics tools are highly preferred.
Is this role related to data science?
Yes. The position includes advanced analytics, machine learning, business intelligence, and decision intelligence responsibilities.
What is the career growth potential?
Professionals can progress into Senior Analytics Consultant, Analytics Manager, Decision Intelligence Lead, Commercial Analytics Manager, and Data Science leadership positions.
Final Conclusion
The Axtria Associate/Senior Associate – Commercial Life Sciences Analytics opportunity is an excellent choice for professionals who want to build a long-term career in pharmaceutical analytics, business intelligence, commercial consulting, and AI-driven decision intelligence.
With exposure to global pharmaceutical clients, advanced analytical platforms, machine learning applications, and strategic decision-making projects, this role provides a strong platform for career growth within the rapidly expanding life sciences analytics industry.
Candidates possessing strong analytical skills, pharmaceutical domain knowledge, SQL expertise, Python programming capabilities, and business intelligence experience should consider applying for this opportunity at the earliest.
Disclaimer
Note: Pharma Duniya does not charge any money for job information. Candidates are advised to verify details from the official company website.
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