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Senior Manager - Pharma Analytics
Senior Manager - Pharma AnalyticsDataZymes • Bangalore (division)
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Senior Manager - Pharma Analytics

Senior Manager - Pharma Analytics

DataZymes • Bangalore (division)
1 day ago
Job description

ABOUT US :

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. 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 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.

Requirements

JOB LOCATION :  Bangalore

QUALIFICATION REQUIRED :  B. Tech / B.E. from reputed institutes

EMPLOYMENT TYPE :  Full Time

EXPERIENCE REQUIRED : 7-9 years of hands-on experience in pharma life science analytics, supporting Commercial and Sales functions. In-depth understanding of Pharma Commercial operations, US / EU Healthcare data sets (e.g., IQVIA, Symphony, Claims data), and commercial KPIs. Proficiency in designing, developing, and deploying dashboarding, data visualizations, and analytics using business intelligence platforms such as Tableau, Power BI or Qlik Sense / QlikView. Strong SQL knowledge.

Job Description

Key Responsibilities

1. Client Engagement & Account Management

  • Account Ownership : Manage end-to-end relationships for key pharmaceutical accounts, ensuring high client satisfaction, retention, and account growth.
  • Consultative Partnering : Act as a strategic advisor to client stakeholders (Brand Managers, Commercial Operations Heads), translating their business questions into analytical roadmaps.
  • Project Delivery : Oversee the delivery of BI dashboards, Adhoc analytics projects and commercial insights. Ensure projects are delivered on time, within budget, and with impeccable quality.

2. Domain Leadership (Pharma Commercial)

  • Apply deep expertise in Commercial Analytics to solve problems in areas such as :
  • Sales Force Effectiveness (Call planning, Targeting & Alignment, Incentive Compensation).
  • Brand Performance Tracking & Launch Analytics.
  • Patient Journey & Longitudinal Data Analysis (APLD).
  • Managed Markets / Payer Analytics.
  • Omnichannel / Digital Marketing Analytics.
  • Provide subject matter expertise to internal technical teams (Data Engineers / Scientists) to ensure the output makes business sense.

    • 3. Pre-Sales & Business Development

  • Proposal Leadership : Lead the creation of responses to RFPs and RFIs. structure solutions, estimate efforts, and draft compelling technical and commercial proposals.
  • Capability Presentations : Lead capabilities presentations and demo sessions for prospective clients.
  • Account Mining : Identify white-space opportunities within existing accounts to cross-sell and up-sell DataZymes' services.

    • 4. Marketing & Thought Leadership

  • Collaborate with the marketing team to develop case studies, white papers, and blog posts showcasing DataZymes' expertise.
  • Represent DataZymes at industry conferences or webinars as a subject matter expert.

    • 5. Team Management

  • Mentor and manage a team of Analysts, Consultants, and Senior Consultants.
  • Foster a culture of continuous learning and innovation within the team.

    • SKILLS : Must Have Skills

  • Deep experience in the Pharma Commercial Analytics domain
  • Understanding of Commercial, Sales and Marketing operations within US Life Sciences
  • Strong knowledge of data management, relational & dimensional data modeling concepts
  • Proven experience as a BI Developer
  • Ability to articulate customer requirements and translate them into BI- applications.
  • Data Blending and Dashboard Optimization Experience
  • Team management and project management experience

    • Good to Have Skills

  • Experience working with Ex-US markets.
  • Advanced Analytics

    • Communicating with Influence

  • Strong interpersonal skills, with an ability to take people along

    • Analysis & Problem solving

  • Capitalizes on opportunities to pursue value.
  • Brings issues out in open so that all concern can address and find solution.

    • Professional Expertise Development

  • Has an open and learning mindset.
  • Adapts to new learning approaches and methods
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    Senior Manager • Bangalore (division)