Agilite Global Solutions Company
- Query and analyse large volumes of healthcare data from diverse sources, including claims, lab results, EMR, and real world data sets, to support life sciences analytical use cases.
- Design and develop SQL queries, stored procedures, and functions to extract and transform data for analysis and reporting purposes. Work with a variety of file formats, including Parquet, CSV, TSV, and PSV.
- Collaborate with cross functional teams, including data scientists, statisticians, and healthcare professionals, to identify and define analytical requirements and deliver actionable insights.
- Clean, validate, and transform raw data into structured formats suitable for analysis, ensuring
- data quality and integrity throughout the process.
- Develop and maintain data documentation, including data dictionaries, data mappings, and data
- lineage, to ensure data transparency and accessibility.
- Create visually compelling reports, dashboards, and data visualisations to effectively
- communicate analytical findings and insights to stakeholders.
- A masters degree in a relevant field such as data science, statistics, computer science,
- or a related discipline or equivalent real world experience.
- 2 years of experience designing and developing SQL queries.
- 2 years of experience working within any programming language.
- 2 years of experience as a Data Analyst or similar role, preferably within the healthcare or life sciences
- Strong attention to detail and a commitment to maintaining data integrity and quality.
- Ability to work collaboratively in a team environment, as well as independently, with a proactive
- Experience working with RealWorld Data
- Experience working in healthcare life science industry
- Experience working with AWS Redshift
To apply for this job please visit app.pyjamahr.com.