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Job Location: Gurgaon
Introduction
At the Economist Intelligence Unit’s Healthcare Division (EIU HC), we believe that actionable strategy for our client is built on the basis of market realities, where data insights and its robust analytics drive informed decisions. For that reason, we have developed a data-centric market tracker solutions called, The Gateway that aims to provide the medtech sector with credible, actionable and granular size, share and growth insights globally.
To this end, we are looking to fill a Data Analyst to assist the team in developing the data visualization of the dashboards and also migration of data.
Accountabilities
How you will contribute:
Data Visualization
- Design, develop and maintain Tableau visualisation dashboards as prescribed by The Gateway team
- Turn business requirements into data model and generate source to target data mappings and other technical documentation (data transformations, design and operational support documentation), in clearly written language (R or Python)
Database
- Migration of current data to AWS RDS DB
- Provide on-going support for the data warehousing systems (ETL, data processing) for all the development lifecycles including periodic reviews, development, QA, data lineage and data quality
- Execute SQL queries, provide recurring / ad-hoc reports or updates
Data Analysis
- Develop and improve/maintain predictive models for the data products within The Gateway team
- Develop and improve/maintain market sizing models for the Gateway team
Experience, skills and professional attributes
The ideal skills for this role are:
- Bachelor or Master degree in Computer Science, Data Science, Statistics or other relevant fields
- Relevant experiences in data science, data analytics, data warehousing and data visualization
- Proficient in at least one of the analytics programming languages e.g. R or Python
- Proficiency in visualization skills using Tableau will be essential for this role
- Good understanding of database architectures and ETL pipelines
- Proficient with SQL and relational databases e.g. PostgressSQL, MySQL or Amazon Aurora
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