[INDIA] Reporting - Technology I Pharma in Haryāna, India - Jobeax
Vacancy description
[INDIA] Reporting - Technology I Pharma in Haryāna, भारत
ProcDNA
Haryāna, भारत
About ProcDNA: ProcDNA is a global consulting firm. We fuse design thinking with cutting-edge tech to create game-changing Commercial Analytics and Technology solutions for our clients. We're a passionate team of 350+ across 6 offices, all growing and learning together since our launch during the pandemic. Here, you won't be stuck in a cubicle - you'll be out in the open water, shaping the future with brilliant minds. At ProcDNA, innovation isn't just encouraged, it's ingrained in our DNA. Job Summary: We are seeking a highly skilled and experienced Data Engineer to join our Tech team. The ideal candidate will have a strong background in data visualization, dashboard development, and performance optimization using Tableau. He should have a strong hold on ETL and Data warehousing. You will work closely with business stakeholders, data engineers, and analysts to deliver insightful and scalable dashboards that drive decision-making. Key Responsibilities:
Design, develop, and maintain advanced Tableau/Power BI dashboards and visualizations.
Translate business requirements into technical specifications and create data visualizations that are clear, concise, and actionable.
Optimize dashboard performance and implement best practices for data visualization.
Strong understanding of HCP, HCO, Patient, Territory, Product, Payer, and Specialty Pharmacy data models within the pharmaceutical domain.
Design, build, and optimize ETL pipelines or underlying code to enhance data warehouse system
Collaborate with data engineering teams to ensure data accuracy and availability.
Conduct peer reviews and provide guidance to junior developers.
Stay updated with the latest Tableau features and industry trends.
Required Skills Qualifications:
4 to 8 years of hands-on experience in Tableau/Power BI development.
Prior experience in managing client stakeholders and junior team members.
A background in managing Life Science clients is mandatory.
Extensive hands-on experience in working with cloud data warehouses like Redshift, Azure Data Factory, Snowflake, etc. And Proficiency in SQL, Data Modeling, and designing ETL pipelines is a must.
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