data analyst

The Junior Data Analyst supports the organisation by helping to collect, prepare, analyse, and report on data that enables the business to operate effectively and make informed decisions.

The role contributes to improving visibility of operational performance, commercial activity, and service delivery through accurate, timely, and well-structured data. The position provides broad exposure to data from multiple systems and departments and is suitable for an early career analyst.

A key aspect of the role is supporting the wider business by responding to data requests, producing meaningful insights, and helping teams better understand and use their data. While the organisation operates within a regulated healthcare environment, the role balances core business-facing data analysis activities with progressive exposure to NHS and regulatory requirements as skills and experience develop., * Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design

• implement the stages of the data analysis lifecycle
• apply principles of data classification within data analysis activity
• analyse data sets taking account of different data structures and database designs
• assess the impact on user experience and domain context on data analysis activity
• identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
• undertake customer requirements analysis and implement findings in data analytics planning and outputs
• identify data sources and the risks and challenges to combination within data analysis activity
• apply organizational architecture requirements to data analysis activities
• apply statistical methodologies to data analysis tasks
• apply predictive analytics in the collation and use of data
• collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
• use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
• collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
• select and apply the most appropriate data tools to achieve the optimum outcome
• Use data systems securely to meet requirements and in line with organisational procedures and legislation including principles of Privacy by Design
• implement the stages of the data analysis lifecycle
• apply principles of data classification within data analysis activity
• analyse data sets taking account of different data structures and database designs
• assess the impact on user experience and domain context on data analysis activity
• identify and escalate quality risks in data analysis with suggested mitigation or resolutions as appropriate
• undertake customer requirements analysis and implement findings in data analytics planning and outputs
• identify data sources and the risks and challenges to combination within data analysis activity
• apply organizational architecture requirements to data analysis activities
• apply statistical methodologies to data analysis tasks
• apply predictive analytics in the collation and use of data
• collaborate and communicate with a range of internal and external stakeholders using appropriate styles and behaviours to suit the audience
• use a range of analytical techniques such as data mining, time series forecasting and modelling techniques to identify and predict trends and patterns in data
• collate and interpret qualitative and quantitative data and convert into infographics, reports, tables, dashboards and graphs
• select and apply the most appropriate data tools to achieve the optimum outcome, Excel Associate. Data and Visualisation using SAS® Data Analysis and Statistics SQL and Data Modelling Exploring Data Science using Python and R Data Challenge workshop Online development sessions (Optional)

GCSE or equivalent in:

• Basic Maths (grade 9/A* - 4/C)
• Standard English (grade 9/A* - 4/C)

Desirable qualifications

A Level or equivalent in: Any (grade A-C)

Share if you have other relevant qualifications and industry experience. The apprenticeship can be adjusted to reflect what you already know., * Communication skills

• Attention to detail
• Organisation skills
• Problem solving skills
• Administrative skills
• Number skills
• Analytical skills
• Logical
• Team working
• Initiative

Are you looking to build a long-term career in Data Analyst? Then look no further! Start your career today with a Level 4 Data Analyst apprenticeship with Livingcare Diagnostics and Kaplan. You will be dealing with data reports, analysis and data quality whilst studying towards the qualification. Please note, the salary is £19,000 - £24,000.

Wage £19,000 a year

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Please note, the salary is £19,000 - £24,000 depending on qualifications and experience., * Please note, the salary is £19,000 - £24,000 depending on qualifications and experience

• Benefits include: 27 days Plus bank holidays

Living Care Diagnostics is part of The LivingCare Group, founded in 2002 by Dr. Stephen Feldman to provide accessible, community-focused private and NHS healthcare. It offers services including cancer screening, cardiology, dermatology, and diagnostics. They provide fast access to consultant-led care.