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Mountain Healthcare Ltd

Data Analyst

The closing date is 08 August 2025

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Job summary

We are looking for an experienced Data Analyst with analytical and problem-solving skills to join our team in delivering high-quality, evidence-based insights to the health and social care sector.

Main duties of the job

The Data Analyst will be involved in collecting, processing, validating, and analysing large datasets, producing visualisations and reports, and contributing to the design of benchmarking projects and products. Working collaboratively with cross-functional teams, the Data Analyst will play a key role in delivering impactful analytics to our clients.

About us

We are the official research support team for the NHS Benchmarking Network, working with over 300 healthcare organisations across the UK to identify opportunities for service development and quality improvement. We also serve as the primary source of benchmarking data for the NHS England Workforce, Training and Education team, providing in-depth analysis across national mental health services. Our unique and comprehensive datasets support strategic decision-making and resource allocation across the UK healthcare system. In addition, we are proud to facilitate two major national audits: the National Audit for Care at the End of Life (NACEL) and the Cardiovascular Disease Prevention Audit (CVDPREVENT).

Details

Date posted

14 July 2025

Pay scheme

Other

Salary

£32,000 to £35,000 a year

Contract

Permanent

Working pattern

Full-time

Reference number

oc-1752230176-P4XW2

Job locations

Manchester

City Of Manchester

M4 7DB


Job description

Job responsibilities

The primary purpose of the role is to manage, review, validate, analyse and interpret a variety of datasets, with a core focus on extracting meaningful insights that inform service improvement and strategic decision-making. Data Collection and Acquisition

  • Gather data from primary (internal systems, surveys) and secondary (public datasets, APIs) sources.
  • Collaborate with IT and data engineers to access relevant data.
  • Automate data collection and reporting processes using Python, R, or SQL.
    • Data Cleaning and Preparation; Analytics Processes
  • Handle missing or inconsistent data.
  • Format and structure data for analysis.
  • Use tools like SQL, Excel, R, Python for wrangling.
  • Provide support for analytics processes, methods and tools to ensure maximum efficiency, accuracy, and security.
  • Create processes to validate data across several datasets.
  • Manipulate and move data in various formats and from/to different systems.
  • Ensure data stored in various systems is correct, accurate and reliable.
    • Data Analysis and Interpretation
  • Analyse raw data, perform exploratory data analysis (EDA) to find trends, patterns, or anomalies.
  • Use statistical techniques to test hypotheses or model relationships. Should be comfortable with analysis methods such as correlation, regression and hypothesis testing, in both parametric and non-parametric forms.
  • Interpret trends and deliver actionable insights to clients.
    • Reporting and Data Visualisation
  • Provide support to operational work - regular reporting projects. Maintain tools and dashboards and update data regularly.
  • Build recurring reports and automate them when possible.
  • Design and create visual representations of data: dashboards, charts, and reports using tools like Power BI.
  • Present data in a clear, understandable way to clients.
    • Reporting, Storytelling with Data, and Communication
  • Translate technical findings into data insights. Explain analytical findings in a compelling, digestible format to non-technical audiences.
  • Bridge the gap between data and decision-makers.
  • Communicate results through presentations, reports, and briefings.
  • Ensure developed products are delivered to set timescales.
    • Cross-team Collaboration
  • Work with all teams: programme teams, product team, dev hub, network development and others.
  • Collaborate with and understand programme team's requirements.
    • Benefits
  • Annual bonus scheme (subject to personal and business performance)
  • 25 days holiday increasing to 28 after 18 months service, plus statutory bank holidays
  • Flexible 8-hour shift around 6 core working hours
  • Contributory pension
  • Wellbeing programme, including EAP
  • Life Assurance

    • Job description

    Job responsibilities

    The primary purpose of the role is to manage, review, validate, analyse and interpret a variety of datasets, with a core focus on extracting meaningful insights that inform service improvement and strategic decision-making. Data Collection and Acquisition

  • Gather data from primary (internal systems, surveys) and secondary (public datasets, APIs) sources.
  • Collaborate with IT and data engineers to access relevant data.
  • Automate data collection and reporting processes using Python, R, or SQL.
    • Data Cleaning and Preparation; Analytics Processes
  • Handle missing or inconsistent data.
  • Format and structure data for analysis.
  • Use tools like SQL, Excel, R, Python for wrangling.
  • Provide support for analytics processes, methods and tools to ensure maximum efficiency, accuracy, and security.
  • Create processes to validate data across several datasets.
  • Manipulate and move data in various formats and from/to different systems.
  • Ensure data stored in various systems is correct, accurate and reliable.
    • Data Analysis and Interpretation
  • Analyse raw data, perform exploratory data analysis (EDA) to find trends, patterns, or anomalies.
  • Use statistical techniques to test hypotheses or model relationships. Should be comfortable with analysis methods such as correlation, regression and hypothesis testing, in both parametric and non-parametric forms.
  • Interpret trends and deliver actionable insights to clients.
    • Reporting and Data Visualisation
  • Provide support to operational work - regular reporting projects. Maintain tools and dashboards and update data regularly.
  • Build recurring reports and automate them when possible.
  • Design and create visual representations of data: dashboards, charts, and reports using tools like Power BI.
  • Present data in a clear, understandable way to clients.
    • Reporting, Storytelling with Data, and Communication
  • Translate technical findings into data insights. Explain analytical findings in a compelling, digestible format to non-technical audiences.
  • Bridge the gap between data and decision-makers.
  • Communicate results through presentations, reports, and briefings.
  • Ensure developed products are delivered to set timescales.
    • Cross-team Collaboration
  • Work with all teams: programme teams, product team, dev hub, network development and others.
  • Collaborate with and understand programme team's requirements.
    • Benefits
  • Annual bonus scheme (subject to personal and business performance)
  • 25 days holiday increasing to 28 after 18 months service, plus statutory bank holidays
  • Flexible 8-hour shift around 6 core working hours
  • Contributory pension
  • Wellbeing programme, including EAP
  • Life Assurance

    • Person Specification

    Qualifications

    Essential

    • University Degree or equivalent.

    Experience

    Essential

    • At least 2 years' industry experience.
    • Strong background in technology, mathematics, or another related field
    • Knowledge of mathematical concepts such as correlation analysis, hypothesis testing, and regression, and being able to carry out this analysis in both parametric and non-parametric forms
    • Excellent IT skills including fluency with all Microsoft packages, particularly Excel, Word, PowerPoint, PowerBi.
    • Experience in R programming language, including RShiny and/o RMarkdown.
    • Knowledge and proficiency in working with database systems (SQL/PostgreSQL) and writing performant SQL queries.
    • Experience in data manipulation, data cleaning and preparation.
    • Experience in data analysis and interpretation, data modelling.
    • Experience in data visualisation.
    • Ability to meet project deadlines.
    • Strong track record of problem-solving ability and troubleshooting skills.
    • Evidence of excellent communication and interpersonal skills. Clearly communicate technical concepts to both technical and non-technical audiences.
    • Self-motivated and capable of working independently, while also enjoying collaboration and contributing as a team player.
    • Adaptability and willingness to learn new technologies.
    • Willingness to work flexibly and adaptably.
    Person Specification

    Qualifications

    Essential

    • University Degree or equivalent.

    Experience

    Essential

    • At least 2 years' industry experience.
    • Strong background in technology, mathematics, or another related field
    • Knowledge of mathematical concepts such as correlation analysis, hypothesis testing, and regression, and being able to carry out this analysis in both parametric and non-parametric forms
    • Excellent IT skills including fluency with all Microsoft packages, particularly Excel, Word, PowerPoint, PowerBi.
    • Experience in R programming language, including RShiny and/o RMarkdown.
    • Knowledge and proficiency in working with database systems (SQL/PostgreSQL) and writing performant SQL queries.
    • Experience in data manipulation, data cleaning and preparation.
    • Experience in data analysis and interpretation, data modelling.
    • Experience in data visualisation.
    • Ability to meet project deadlines.
    • Strong track record of problem-solving ability and troubleshooting skills.
    • Evidence of excellent communication and interpersonal skills. Clearly communicate technical concepts to both technical and non-technical audiences.
    • Self-motivated and capable of working independently, while also enjoying collaboration and contributing as a team player.
    • Adaptability and willingness to learn new technologies.
    • Willingness to work flexibly and adaptably.

    Disclosure and Barring Service Check

    This post is subject to the Rehabilitation of Offenders Act (Exceptions Order) 1975 and as such it will be necessary for a submission for Disclosure to be made to the Disclosure and Barring Service (formerly known as CRB) to check for any previous criminal convictions.

    Employer details

    Employer name

    Mountain Healthcare Ltd

    Address

    Manchester

    City Of Manchester

    M4 7DB


    Employer's website

    https://www.mountainhealthcare.co.uk/ (Opens in a new tab)

    Employer details

    Employer name

    Mountain Healthcare Ltd

    Address

    Manchester

    City Of Manchester

    M4 7DB


    Employer's website

    https://www.mountainhealthcare.co.uk/ (Opens in a new tab)

    Employer contact details

    For questions about the job, contact:

    Recruitment

    HR Team

    hr@thebenchmarkingnetwork.co.uk

    Details

    Date posted

    14 July 2025

    Pay scheme

    Other

    Salary

    £32,000 to £35,000 a year

    Contract

    Permanent

    Working pattern

    Full-time

    Reference number

    oc-1752230176-P4XW2

    Job locations

    Manchester

    City Of Manchester

    M4 7DB


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