Data Analyst - 2 year FTC
Posted 1 hour 33 minutes ago by Reed
£26,707 - £30,378 Annual
Permanent
Not Specified
I.T. & Communications Jobs
Angus, Dundee, United Kingdom, DD2 5
Job Description
Reed Technology is partnering with a leading health data and research organisation to recruit a Data Analyst.
This is an exciting opportunity to join a specialist data team responsible for managing and delivering access to large-scale healthcare datasets. Working with both structured and unstructured data, you will support the delivery of high-quality datasets for research and innovation projects that help improve health outcomes.
Key Responsibilities
- Support the maintenance and development of large-scale data repositories containing healthcare and research data.
- Process, cleanse, validate and transform structured and unstructured datasets.
- Perform ETL activities to integrate data into central repositories.
- Work directly with researchers, clinicians and project teams to understand data requirements and deliver appropriate solutions.
- Provide data feasibility assessments and support projects from initial scoping through to dataset delivery.
- Optimise database queries and contribute to the ongoing performance and reliability of data platforms.
- Ensure data quality standards and governance requirements are maintained throughout the data lifecycle.
Requirements
- Experience working with ETL processes and data integration activities.
- SQL skills, including experience working with relational databases such as Microsoft SQL Server.
- Experience writing and maintaining data transformation and extraction scripts.
- Ability to analyse complex datasets and identify data quality issues.
- Experience optimising database queries and improving data processing performance.
- Excellent communication skills, with the ability to engage both technical and non-technical stakeholders.
- Strong attention to detail and commitment to delivering high-quality outputs.
What's on Offer?
- Permanent position.
- Salary of £26,707 - £30,378 per annum.
- Opportunity to work with large-scale, real-world datasets that support impactful research and innovation.
- Collaborative and supportive team environment.
- Ongoing professional development and learning opportunities.