Consultant Advanced Analytics - Pharma

About DataZymes :

Founded in 2016, DataZymes 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. Our mission at DataZymes 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.

Job Description :

Currently seeking a highly skilled Analytics Consultant to work with the Decision Sciences vertical. Key responsibilities include managing major projects and clients within the Pharma domain. Your expertise in analytical solutions will play a critical role in addressing our client’s business problems and driving their success.

EXPERIENCE REQUIRED :

• 4+ 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.

Technical Skills :

Communication and Leadership :

able to translate analyses into crisp, client-ready narratives, collaborate with cross-functional teams, and build strong client relationships.

contributes to thought leadership (POVs, case studies, playbooks).

RESPONSIBILITIES

Delivery & day to day operations :

maintain project trackers and documentation.

flag risks / blocks earlyand propose practical mitigations.

Product & Solution Development :

synthesize learnings into actionable recommendations.

compare methods for fit, accuracy, and interpretability.