Tableau Developer

2 weeks ago

Chennai, Tamil Nadu, India Chryselys Full time US$ 90,000 - US$ 1,20,000 per year

Role & responsibilities

Key Responsibilities:
•

Collaborate with internal teams and client stakeholders to deliver business intelligence solutions that support key decision-making for the commercial function of pharma organizations.
•Leverage deep domain knowledge of pharmaceutical sales, claims, and secondary data to structure and optimize BI reporting frameworks.

Develop, maintain, and optimize interactive dashboards and visualizations using Tableau to enable data-driven insights.

Translate business requirements into effective data visualizations and actionable reporting solutions tailored to end-user needs.

Write complex SQL queries and work with large datasets housed in data lakes or data warehouses to extract, transform, and present data efficiently.

Conduct data validation, QA checks, and troubleshoot stakeholder-reported issues by performing root cause analysis and implementing solutions.

Collaborate with data engineering teams to define data models and KPIs and automate data pipelines feeding BI tools.

Manage ad-hoc and recurring reporting needs, ensuring accuracy, timeliness, and consistency of data outputs.

Drive process improvements in dashboard development, data governance, and reporting workflows.

Document dashboard specifications and data definitions, and maintain data dictionaries.

Stay up to date with industry trends in BI tools, visualization of best practices and emerging data sources in the healthcare and pharma space.

Prioritize and manage multiple BI project requests in a fast-paced, dynamic environment.

Qualifications:

6-10 years of experience in BI development, reporting, or data visualization, preferably in the pharmaceutical or life sciences domain.

Strong hands-on experience building dashboards using Tableau (preferred), Power BI, and Qlik.
•Advanced SQL skills for querying and transforming data across complex data models.
•Familiarity with pharma data such as sales, claims, and secondary market data is a strong plus. Experience in data profiling, cleansing, and standardization techniques.

Ability to translate business questions into effective visual analytics.

Strong communication skills to interact with stakeholders and present data insights clearly.

Self-driven, detail-oriented, and comfortable working with minimal supervision in a team-oriented environment.

Exposure to data warehousing concepts and cloud data platforms (e.g., Snowflake, Redshift, or BigQuery) is an advantage.

Education
• Bachelor's or Master's Degree (computer science, engineering or other technical disciplines)

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