Data Analyst
@ Homerton Healthcare NHS Foundation Trust

London, England, United Kingdom
£35,000
On Site
Full Time
Posted 22 days ago

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Job Details

Data Analyst

The Data Analyst will support the team by ensuring that the data entering systems such as FFT / Civica and Datix is up to date. The role involves pulling reports from Datix and QlikView ensuring that all information is current.

Main Responsibilities

  • Manage data input and export for the patient experience team.
  • Extract and generate reports from Datix, Civica, and related portals.
  • Perform general administrative duties covering PALS, complaints, patient engagement and volunteers.
  • Identify and analyze trends or anomalies and escalate when necessary.
  • Prepare ad hoc reports in various appropriate formats for internal teams and divisions.

Organisational Overview

Homerton Healthcare NHS Foundation Trust is a high performing organisation serving Hackney, East London, The City and beyond, recognised for outstanding quality by the Care Quality Commission. The Trust offers a comprehensive range of hospital and community services, supporting staff with robust development programs and benefits.

Key Skills/Competency

  • Data Analysis
  • Data Management
  • Reporting
  • Datix
  • Civica
  • QlikView
  • KPI tracking
  • Trend Analysis
  • Administrative Support
  • Attention to Detail

How to Get Hired at Homerton Healthcare NHS Foundation Trust

🎯 Tips for Getting Hired

  • Research Homerton Healthcare NHS Foundation Trust's culture: Study mission, values, and recent reports on LinkedIn.
  • Tailor your resume: Highlight data management and analytics skills.
  • Showcase technical skills: Emphasize Datix, Civica, and QlikView experience.
  • Prepare for interviews: Review examples of trend analysis and KPIs.

📝 Interview Preparation Advice

Technical Preparation

Practice SQL and data extraction techniques
Familiarize with QlikView dashboards
Review Datix and Civica reporting procedures
Study KPI tracking methods

Behavioral Questions

Describe teamwork in data projects
Explain managing multiple deadlines
Discuss handling unexpected data issues
Share experience working under pressure

Frequently Asked Questions