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MSD Pharmaceuticals

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4.2

based on 264 Reviews

Video summary

168 MSD Pharmaceuticals Jobs

Senior Manager, Data Visualization

MSD Pharmaceuticals Private Limited

4.2

based on 264 Reviews

10-15 years

Pune

1 vacancy

Senior Manager, Data Visualization

MSD Pharmaceuticals

posted 19d ago

Job Role Insights

Flexible timing

Key skills for the job

Salesforce Python SQL Automation Testing Product Management Informatica

+ 4 more

Job Description

As a Senior Manager in Data Visualization, you will be leading a team of Data Visualization and Analytics experts who are focused on designing and developing compelling analytical solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in team leadership, stakeholder management, product management while leading the development of user-centric visualization products that empower stakeholders with data driven insights & decision-making capability.

Responsibilities:

Lead and manage a team of ~10 visualization experts, designers, data analysts, and insights specialists, fostering a high-performing, inclusive, and engaged work environment. Drive team-building initiatives, mentorship, coaching, and performance management while prioritizing diversity, inclusion, and well-being.
Develop user-centric analytical solutions, leveraging complex data sources to create intuitive and insightful dashboards. Apply best practices in visualization design to enhance user experience and business impact.
Drive business engagement, collaborating with stakeholders to define key metrics, KPIs, and reporting needs. Facilitate workshops to develop user stories, wireframes, and interactive visualizations.
Partner with data engineering, data science, and IT teams to develop scalable business-friendly reporting solutions. Ensure adherence to data governance, privacy, and security best practices.
Foster a culture of innovation and continuous learning, encouraging the adoption of new visualization tools, methodologies, and a product mindset to build scalable and reusable solutions.
Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement.
Provide thought leadership, driving knowledge-sharing within the Data & Analytics organization while staying ahead of industry trends to enhance visualization capabilities.

Required Experience and skills:

10+ years of experience in insight generation, business analytics, business intelligence, and interactive visual storytelling, with a strong focus on infographics and data-driven decision-making.
Proven leadership and people management skills, including team development, mentoring, and fostering a high-performing, engaged workforce.
Strong product management mindset, ensuring analytical solutions are scalable, user-centric, and aligned with business needs, with experience in defining product roadmaps and managing solution lifecycles.
Expertise in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions.
Hands-on expertise in BI and visualization tools such as Qlik, Power BI, MicroStrategy, Looker, and ThoughtSpot, with proficiency in PowerPoint and data storytelling for creating impactful presentations.
Solid understanding of data engineering and modeling, including ETL workflows, Dataiku, Databricks, Informatica, and database technologies like Redshift and Snowflake, with programming skills in SQL and Python.
Deep knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights.
Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as well as web, campaign, and digital engagement analytics.
Proven ability to manage third-party vendors and contractors, ensuring high-quality deliverables and cost-effective solutions.
Strong problem-solving, communication, and project management skills, with the ability to translate complex data into actionable insights and navigate complex matrix environments efficiently.