Senior Data Analytics at Observational and Pragmatic Research Institute OPRI
Norwich, England, United Kingdom -
Full Time


Start Date

Immediate

Expiry Date

23 Oct, 25

Salary

65000.0

Posted On

24 Jul, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Staff Development, Statistics, Data Science, Sql, R, Communication Skills, Analytical Skills, Power Bi, Statistical Tools, Computer Science

Industry

Information Technology/IT

Description

JOB TYPE

About the Role
We are currently seeking an experienced and motivated Senior Data Analyst to join our dynamic team within a global, not-for-profit research organisation. This is an exciting opportunity for a data professional with a strong background in analytics, leadership, and database management to play a key role in the development and delivery of high-impact health research projects.
As a Senior Data Analyst, you will support the Data Analytics Manager in leading data-focused projects across the organisation and its partner networks. You will contribute to the development and optimisation of database systems, deliver detailed analyses for research studies, and help guide data governance and quality practices. You’ll also take on management responsibilities, supporting the training, appraisal, and career development of team members.
We offer hybrid working as standard, which is Monday, Wednesday and Friday in the office and Tuesday and Thursday working from home, from day one. This role offers flexible working within standard office hours of Monday – Friday, 9am – 5pm.

QUALIFICATIONS


  • A degree in a relevant field such as Data Science, Statistics, Computer Science, or a related discipline

  • Significant experience in a data analysis role, preferably in a healthcare, academic, or research environment

  • Previous leadership or team management experience is desirable

EXPERIENCE AND KEY SKILLS


  • Strong analytical skills with proven experience handling large, complex datasets

  • Proficient in statistical tools and database querying languages , such as SQL, R, Python and/or Power Bi

  • Excellent communication skills, written and verbal, with the ability to explain data insights clearly to both technical and non-technical audiences

  • Proven ability to manage multiple projects and meet deadlines in a fast-paced environment

  • Experience supporting staff development and performance management
    Pay Range: £40,000.00-£65,000.00 per year dependent on the experience.
Responsibilities

  • To assist the Data Manger in providing leadership and expertise by supporting the implementation of data-related projects across the company and its partner organisations.

  • Support the Data Manager in identifying, creating, developing and improving existing databases and linkage with other databases.

  • To deputise for the Data Manager at internal and external meetings as required.

  • Data analysis for research and service projects: Interpret data, analyse results using statistical techniques and provide ongoing report. Identify, analyse, and interpret trends or patterns in complex datasets.

  • Provide researchers and clients with feasibility assessments and datasets and support with the interpretation and query resolution concerning datasets.

  • Advise external researchers, clients and service users on the database(s) and its capabilities.

  • To oversee training, development and management of staff in the Data team. To support the Data Manager with ongoing staff career development initiatives.

  • To undertake and support appraisals for the Data team setting clear objectives and measurable outcomes.

  • Develop and implement data collection systems and other strategies that optimize statistical efficiency and data quality.

  • Support with database querying, reporting and data requirements for supporting research studies.

  • Maintaining data standards, including adherence to the Data Protection Act, information governance and company policies.

  • Provide regular and ad hoc information, both written and verbal, to management, service users and clients, where approved by the Data Manager.
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