Data Analyst - Healthcare at LGC Group

London, England, United Kingdom -

Full Time

Start Date

Immediate

Expiry Date

09 Mar, 26

Salary

40300.0

Posted On

09 Dec, 25

Experience

2 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

Skills

SQL, Qlik, Alteryx, Healthcare Analytics, Data Visualization, Data Analysis, MS Excel, Google Sheets, Data Management, Database Troubleshooting, Workflow Automation, Communication Skills, Attention to Detail, Team Collaboration, Process Improvement, Quality Assurance

Industry

Biotechnology Research

Description

Company Description LGC Ltd (www.lgcgroup.com) is a global life sciences company serving government, academia, pharmaceuticals, agriculture, food, environment, security, and sports sectors. Its Grant Management Group (GMG) works closely with the NIHR and other UK government bodies to support medical and health research. GMG manages funding calls, contracts and intellectual property, ensuring research projects are delivered efficiently and in line with strategic priorities, while collaborating with stakeholders across the NHS, academia, government and industry to advance health innovation. The NIHR, funded by the Department of Health and Social Care, is the UK’s largest funder of health and social care research. It delivers world leading studies that improve health, wellbeing and economic growth with GMG providing critical operational and management support to its funding programs. Job Description The NIHR is looking for a skilled and motivated Data Analyst with expertise in SQL, Qlik, Alteryx, and other analytical tools to join our dynamic Data Analytics team. This role offers an exciting opportunity to play a key part in data-driven decision-making, collaborating across multiple business areas to deliver meaningful insights that drive impact. The Data and Insights team provides analytical support to internal teams and external customers. As a member of this team, reporting to the Data Analytics Lead, you will be interacting with all areas of the business, providing ad-hoc and routine analytical support. Working with the other data analysts and data engineer you will help to maintain existing databases and Qlikview applications and produce new applications as and when there is a business need. You will have interactions with other areas of NIHR, including helping to answer information requests, freedom of information requests, and dealing with stakeholders in the Department of Health and Social Care. You will also have the opportunity to continually improve processes by developing new skills and applying them to increase automation. As a successful candidate you will possess an underlying knowledge of healthcare analytics, have great communication skills, attention to detail and expert experience of SQL, MS Excel/Google Sheets, in addition to a dashboarding tool such as Qlik. Key Responsibilities: Respond to requests for information under tight KPIs from internal and external stakeholders, including screening to ensure results match the query criteria Complete coding of NIHR research to HRCS Health Categories and Research Activity Codes, in addition to a number of NIHR curated portfolios. Provide analytical support for quarterly and annual reports Generate high quality visualisations to be used in reports for stakeholders Undertake any ad hoc analyses tasks or projects as required Contributing to the creation of dashboards (Qlik) Develop workflows via Alteryx to automate and improve existing processes Manage and maintain large, complex datasets primarily through SQL Server Management Studio Support in the development of existing and new data products and services Innovate and improve our existing SQL setup through self-driven initiatives Managing SQL jobs and Stored procedures (building and deploying) Troubleshoot database-related application performance issues as they arise Study work methods and improve procedures to increase efficiency of data collection and analysis. Assist with implementing quality assurance processes to ensure data collected and reports are of a high standard. Liaise with and maintain good working relationships with internal teams and external stakeholder Creation and review of documentation and work procedures. Identify and implement ideas for continuous improvement. Qualifications Experience, Qualifications and Skills Essential Degree in biomedical sciences or life sciences Minimum of 2 years’ experience in a data analyst role Previous experience or a strong interest in clinical research Strong working knowledge of Alteryx, ability to put together complex workflows, work with macros and API’s Knowledge of SQL Server Integration Services (SSIS) Knowledge of SQL Server Reporting Services (SSRS) Knowledge of cloud hosted database environments such as Amazon Web Services or Google Cloud Platform Working knowledge of Business Intelligence/Data Visualisation software (Qlik preferable) Desired Understanding of the UKCRC Health Research Classification System (HRCS). An understanding of the research NIHR funds and supports. Familiar with various file-managements systems such as MS Sharepoint and Google Drive. Key Competencies Exceptional communication, clear and confident verbal and written skills, with the ability to adapt style to formal or informal contexts Meticulous attention to detail, ensuring accuracy, consistency, and quality across all outputs Time management and prioritisation, skilled at meeting tight deadlines while managing a varied workload Organisational excellence, strong record keeping and process management to support efficient workflows Technical proficiency, advanced Microsoft Office skills, with expert level Excel capabilities for complex data handling and analysis Collaborative team player, positive, proactive, and able to build strong, productive working relationships Additional Information Compensation, Benefits & Working Arrangements: Salary: £40,300 per year Location: Twickenham, London / hybrid working model Contract Type: 12 month fixed term contract, full time Working Hours: 37.5 per week, 7.5 hours per day Annual Leave: 25 days, plus UK public holidays Employee Benefits Include: Annual bonus, subject to company performance Enhanced Contributory Pension Scheme Life Insurance Cover Benenden Healthcare Membership Training and Development Opportunities Season Ticket Loan NB: We offer a range of work life balance and family friendly, flexible working arrangements. This is an office based, hybrid role with an expectation for all employees to attend our offices 1 day each week, this may increase, subject to team requirements. Application If you are excited about the prospect of joining our team and believe you possess the relevant skills and background, we invite you to apply. Please submit your CV along with a 'Statement of Suitability' that showcases your key skills and experiences in relation to the 'Required Criteria' outlined in the job description. Additionally, share your enthusiasm for working with the NIHR. NB: Deadline for applications is 5pm on the 15th December, with interviews to commence from the 17th December. As this is a time critical appointment, preference will be give to candidates who can start on the 5th January. Inclusion and Diversity LGC strongly believes that every job applicant and employee should be valued for their individual talents regardless of age, disability, race, colour, ethnic or national origin, sex, sexual orientation, gender reassignment, marital or civil partnership, pregnancy or maternity, religion, or belief. Short listing, interviewing and selection will always be carried out without regard to gender, sexual orientation, marital status, colour, race, nationality, ethnic or national origins, religion or belief, age, or trade union membership. We are committed to ensuring our recruitment process is inclusive and accessible to all. If you have any accessibility requirements please contact Carl by email [email protected] to arrange appropriate support.

Responsibilities

The Data Analyst will respond to information requests, provide analytical support for reports, and contribute to the creation of dashboards. They will also manage large datasets and develop workflows to improve processes.