Band 4 Junior Data Wrangler

The closing date is 21st Nov 2024

Job summary

Join our pioneering Health Data Science team at the NHS, where you'll be at the forefront of shaping the future of healthcare through data. As a Data Wrangler, you'll play a crucial role in developing research assets, uncovering novel insights from clinical and operational data, and revolutionising the way real-world data research is delivered.

Your expertise in T-SQL, SQL Server, ETL processes, database design, and data quality assurance will be vital as you navigate through vast healthcare databases. Your proficiency in the latest technologies like Databricks and coding languages such as Python, R, and SQL will empower you to make significant contributions to our research initiatives.

As a key member of the PIONEER Health Data Research Hub for Acute Care team, you'll handle a subset of regular data processing and reporting. Your collaborative spirit will make you the go-to person for researchers seeking guidance on data assets. Your responsibility includes curating and organising essential support documentation to ensure the seamless use of our data resources.

Embrace this opportunity to contribute to a team that's dedicated to improving patient care and public health outcomes. Apply now to become a part of our mission to drive innovation through data science.

Main duties, tasks & skills required

Join our Health Data Science team as a PIONEER Data Wrangler, driving innovative healthcare solutions. Your role involves:

*Running automated data processing/reporting, meeting critical deadlines.

*Interrogating data tables and developing technical and reporting skills.

*Preparing and validating data for the RDI Hub Data Warehouse.

*Using SQL, Excel and PowerBI to process queries and fulfil ad-hoc requests.

*Ensuring clear communication with internal/external parties and contributing to information sharing and problem-solving.

*Analysing complex data to draw insights, managing data quality through ETL processes, and resolving data issues.

*Collaborating with teams, prioritising requests, and efficiently managing time to balance multiple priorities.

*Adapting to changes, maintaining standards for data reporting, and assisting in the maintenance and improvement of processes.

*Verifying data integrity and contributing to regular report production.

Your advanced data wrangling skills, will be key to prioritising tasks and maintaining the highest data standards. Embrace this opportunity to grow and excel in a role that balances structure with the agility to respond to the evolving needs of our health data science endeavours.

About us

We are recognised as one of the leading NHS Foundation Trusts in the UK. Our vision is to Build Healthier Lives, and we recognise that we need incredible staff to do this.

Our commitment to our staff is to create the best place for them to work, and we are dedicated to:

Investing in the health and wellbeing of our staff, including a commitment of offering flexible working where we can;
Offer our staff a wide variety of training and development opportunities, to support their personal and career development objectives.

UHB is committed to ensuring that our staff are treated fairly and feel that they belong, by creating a kind and inclusive environment. This is about equity of opportunity; removing all barriers, including discrimination and ensuring each individual member of staff reach their true potential, achieve their ambitions and thrive in their work. This is more than words. We are taking action. Our commitment to an inclusive culture is embedded at all levels of the organisation where every voice is heard, driven by our diverse and active staff networks, and at Board level by the Fairness Taskforce led by our CEO. We nurture a culture which empowers staff to challenge discriminatory behaviours and to enable people to bring their 'whole self' to a kinder, more connected and bold place to work.

University Hospitals Birmingham is a Smoke-Free premises hospital.

Job description

*Please Note : For a detailed job description for this vacancy, please see attached Job Description* 

Person specification

Qualifications

Essential

*Minimum grade C in GCSE English and Maths.

*Knowledge of data analysis and associated software/computer systems acquired through diploma or equivalent experience/qualification in a relevant subject such as Mathematics, Science, Data Science

Experience

Essential

*Experience of interpreting and analysing complex information and presenting it in a simplified manner.

*Experience of analysing and investigating key performance information.

*The post holder will be expected to have an excellent working knowledge of MS Excel and MS SQL Management Studio.

*Knowledge and a strong interest in research/analytics/informatics and identifying key messages.

*Experience of communicating a range of complex informatics and statistical issues with clinical staff and researcher directly and within formal written papers.

Additional Criteria

Essential

*Excellent analytical and numeric skills.

*Ability to work under pressure.

*Ability to build positive relations within and outside the organisation, with health professionals, managers and policy analysis.

*Good communication and interpersonal skills.

*Excellent written and verbal presentation skills.

*Ability to manage own workload.

*Ability to influence and interact with people at varying levels.

*Ability to work effectively within a team.

*Confident, highly motivated and able to use own initiative.

*Attention to detail combined with the ability to think laterally and ability to resolve problems effectively.

*Good time keeping.

For help with your application, contact: 

Sarah Lim 

sarah.lim@uhb.nhs.uk 

 

Pay scheme

Agenda for Change 

Band

Band 4 

Salary

£26530.00  to £29114.00 Yearly 

Contract

Fixed Term 

Duration

2  Year(s) 

Working pattern

Full-Time, Flexible Working 

Reference number

304-1087884LD 

Job locations

Queen Elizabeth Hospital 
Mindelsohn Way 
Birmingham 
West Midlands 
B15 2TH 

Attachments

Job Description   Band 4 JD PS.pdf – 331KB Opens in a new window