Associate Specialist- Data Visualization

As an Associate Specialist in Data Visualization, you will be developing compelling data visualizations solutions to enable actionable insights & facilitate intuitive information consumption for internal business stakeholders. The ideal candidate will demonstrate competency in building user-centric visuals & dashboards that empower stakeholders with data driven insights & decision-making capability.

Responsibilities:

• Develop user-centric scalable visualization and 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.
• Collaborating with Data Viz leads and stakeholders to define key metrics, KPIs, and reporting needs. Participate and contribute in workshops to develop user stories, wireframes, and interactive visualizations.
• Ensuring timely delivery of high-quality outputs, while creating and maintaining SOPs, KPI libraries, and other essential governance documents.
• 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.
• Identify opportunities for automation, streamlining manual reporting processes through modern visualization technologies and self-service analytics enablement.
• Continuously innovative on visualization best practices & technologies by reviewing external resources & marketplace

Required Experience and skills:

• 2+ years of experience in business intelligence, insight generation, business analytics, data visualization, infographics, and interactive visual storytelling
• Hands-on expertise in BI and visualization tools such as Power BI, PowerApps, Qliksense, MicroStrategy, and ThoughtSpot
• Experience 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.
• Knowledge of pharma commercial data sources, including IQVIA, APLD, Claims, Payer, Salesforce, Financials, Veeva, Komodo, IPSOS, and other industry datasets to drive strategic insights is plus
• Experience in pharmaceutical commercial analytics, including Field Force Effectiveness, customer engagement, market performance assessment, as we'll as web, campaign, and digital engagement analytics is plus
• Experience in agile ways of working, including Agile/Scrum methodologies, iterative development, and continuous improvement in data visualization and analytics solutions.
• Good problem-solving and communication skills, with the ability to interpret data and provide actionable insights while effectively working in cross-functional environments.
• Basic understanding of product management principles, focusing on developing user-centric, scalable analytical solutions aligned with business needs.
• Familiarity with agile ways of working, including exposure to Agile/Scrum methodologies and participation in iterative development and continuous improvement initiatives in data visualization and analytics projects.
• Strong learning agility, with the ability to quickly adapt to new tools, technologies, and business environments while continuously enhancing analytical and technical skills.

Required Skills:

Business Intelligence (BI), Data Visualization, Requirements Management, User Experience (UX) Design