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.

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.
• Power BI or similar dashboarding experience (e.g., Tableau, Looker) is a plus.   

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).

RESPONSIBILITIES

Delivery & day to day operations :

• Support planning and day-to-day execution of Decision Sciences projects, owning defined workstreams and deliverables. 

• Partner with cross-functional teams to clarify objectives, scope, timelines, and resource needs; maintain project trackers and documentation. 

• Perform hands-on analytics, data preparation, and QC; flag risks/blocks early and propose practical mitigations. 

• Monitor progress against milestones and quality standards to ensure on-time, high-quality delivery. 

• Drive the development and enhancement of analytical products and solutions for commercial and marketing analytics. 

• Conduct market research and stay updated on industry trends, emerging technologies, and best practices. 

• Collaborate with internal stakeholders, including data scientists, software developers, and domain experts, to define product requirements. 

• Guide the product development lifecycle, from ideation and prototyping to testing, deployment, and maintenance. 
• Design, Develop, and deploy complex and innovative analytical solutions for clients. 

Product & Solution Development:

• Contribute to the design and enhancement of analytics solutions for commercial and marketing use cases. 

• Stay current on industry trends, tools, and best practices; synthesize learnings into actionable recommendations. 

• Build, validate, and help operationalize models, pipelines, and dashboards as part of deployment/deliverables. 

• Apply and evaluate statistical/ML techniques relevant to pharma analytics; compare methods for fit, accuracy, and interpretability. 

• Design small experiments/POCs, analyze outcomes, and summarize implications for client use.