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
