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Analytics Consultant

Job in Bengaluru, 560001, Bangalore, Karnataka, India
Listing for: DataZymes
Full Time position
Listed on 2026-02-25
Job specializations:
  • IT/Tech
    Data Analyst, Data Science Manager, Business Systems/ Tech Analyst, AI Engineer
Job Description & How to Apply Below
Location: Bengaluru

About Us:

Founded in 2016, Data Zymes is a next-generation analytics and data science company driving technology and digital-led innovation for our clients, thus helping them get more value from their data and analytics investments. Our platforms are built on best-of-breed technologies, thus protecting current investments while providing clients more bang for their buck. As we are a premier partner for many Analytics and Information Management companies, we also provide advisory and consulting services to clients helping them make the right decisions and put together a long-term roadmap.

Our mission at Data Zymes is to scale analytics and enable healthcare organizations in achieving non- linear, long term and sustainable growth. In a short span, we have built a high-performance team in focused practice areas, built digital-enabled solutions, and are working with some marquee names in the US healthcare industry.

Experience : 2+ Years
Location :
Bengaluru, India
Industry :
Pharmaceutical / Life Sciences

Experience Required
2+ years of experience in analytics or decision sciences, with a focus on the pharmaceutical industry.
Demonstrated experience executing analyses and supporting delivery on complex pharma analytics projects.
Strong expertise in commercial analytics like Market Mix Modelling, Test and Control analytics, OCE analytics, Budget Optimization etc.
Preferred exposure to Patient analytics, Market Access analytics, or Sales analytics.
Experience collaborating with cross-functional teams; informal mentoring or peer coaching is a plus.
Power BI or similar dashboarding experience (e.g., Tableau, Looker) is a plus. here.

Technical Skills
Advanced knowledge of statistical analysis tools and programming languages such as Python, SAS, SQL, etc. along with a strong hold on Microsoft suit.
Strong understanding of AI/ML techniques and their applications in decision sciences.

Communication and Leadership
Excellent written and verbal communication; able to translate analyses into crisp, client-ready narratives, collaborate with cross-functional teams, and build strong client relationships.
Demonstrates ownership and initiative; contributes to thought leadership (POVs, case studies, playbooks)
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