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

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