UK Remote Job – Data Analyst at NEC Software Solutions

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Regno Unito

Remoto

GBP 42.000 - 65.000

Tempo pieno

8 ore fa
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Vantaggi offerti da questo lavoro

Private medical insurance
25 days annual leave
Life assurance
Pension scheme
Flexible benefits
Professional development (LinkedIn <RE

Descrizione del lavoro

NEC Software Solutions in the United Kingdom is seeking a Data Analyst to maintain data reporting pipelines, perform data extraction, cleaning, and analysis, and support healthcare reporting systems that monitor patient outcomes after procedures.

You will work with data analysts, developers and stakeholders to improve reporting processes, learn healthcare terminology, and contribute to clinical registries and reporting initiatives.

Competenze

  • Degree in Computer Science, Statistics or another quantitative field.
  • Strong SQL and Excel skills.
  • Proficiency in R/RStudio; knowledge of R Markdown or Quarto desirable.
  • Experience cleaning, processing and managing large datasets.
  • Experience in data analysis, reporting or data management.
  • Ability to interpret complex clinical, technical and business information.

Mansioni

  • Design, maintain and operate reporting pipelines and analytical processes.
  • Clean, validate and process large datasets for accurate reporting.
  • Write and optimise SQL queries to extract and investigate database information.
  • Identify and resolve data-quality issues and reporting inconsistencies.
  • Conduct impact assessments and validate reporting changes before implementation.
  • Use version control to manage scripts and protect reliability of reporting systems.
  • Prepare and maintain technical documentation and SOPs.
  • Gather reporting requirements from stakeholders and clarify expectations.
  • Translate clinical and business requirements into analytical solutions.
  • Present findings and communicate results to relevant teams.
  • Collaborate to improve productivity and reporting standards.
  • Support introduction of clinical registries and monitoring procedures.

Conoscenze

Analytical thinking
Problem solving
Independent working

Formazione

Degree in Computer Science or Statistics

Strumenti

SQL
Microsoft Excel
R
RStudio
R Markdown / Quarto
ODBC
Power BI
Snowflake

Descrizione del lavoro

Job Title: Data Analyst
Employer: NEC Software Solutions
Job Type: Remote
Location: United Kingdom
Salary/Rate: Not Specified
UK Visa Sponsorship: Not Available

Maintain and develop data reporting pipelines, covering data extraction, cleaning, processing, analysis, visualisation and report production.

Manage data quality assurance to ensure the accuracy, consistency and reliability of analytical outputs.

Use SQL to retrieve, examine and analyse information stored in relational databases.

Investigate data discrepancies and respond to specific analytical and reporting requests.

Support the development of clinical registries and healthcare reporting systems that monitor patient outcomes following replacement surgery.

Work with data analysts , developers, data scientists and other stakeholders to improve reporting processes and delivery.

Develop knowledge of healthcare data management, clinical processes and medical terminology.

Responsibilities
  • Design, maintain and operate reporting pipelines and analytical processes.
  • Clean, validate and process large datasets to ensure accurate reporting.
  • Write and optimise SQL queries to extract and investigate database information.
  • Identify and resolve data-quality issues and reporting inconsistencies.
  • Conduct impact assessments and validate reporting changes before implementation.
  • Use version control practices to manage scripts and protect the reliability of reporting systems.
  • Prepare and maintain technical documentation, standard operating procedures and analytical methodologies.
  • Gather reporting requirements from internal and external stakeholders and clarify technical expectations.
  • Translate complex clinical and business requirements into practical analytical solutions.
  • Present findings and communicate analytical results to relevant teams.
  • Collaborate with technical and analytical departments to improve productivity and reporting standards.
  • Support the introduction of clinical registries and procedures for monitoring patient outcomes.
Requirements
  • Degree in Computer Science, Statistics or another relevant quantitative discipline.
  • Proficiency in R, particularly RStudio, with R Markdown or Quarto knowledge desirable.
  • Strong SQL and Microsoft Excel skills.
  • Experience cleaning, processing and managing large datasets.
  • Previous experience in data analysis, reporting, data management or a related analytical position.
  • Strong analytical, problem-solving and organisational abilities.
  • Ability to work independently, manage competing priorities and meet deadlines.
  • Ability to interpret complex clinical, technical and business information.
  • Willingness to learn medical terminology and understand healthcare processes.
  • Existing right to work and travel within the UK, with documentary evidence required.
  • Successful completion of background checks, references and occupational health assessments.

Desirable:

  • Postgraduate qualification or relevant professional IT certification.
  • Experience with version control, remote repositories and data warehouses.
  • Knowledge of open database connectivity (ODBC).
  • Understanding of frequentist and Bayesian statistical methods.
  • Experience with healthcare datasets, clinical registries, unstructured data and free-text analysis.
  • Familiarity with Power BI, Snowflake and recognised statistical reporting standards.
Benefits
  • Private medical insurance: Employer-funded medical cover, with the option to include family members at an additional cost.
  • Annual leave: 25 days of paid holiday, with options to buy or sell additional leave.
  • Life assurance: Employer-funded cover worth four times the basic annual salary, with options to increase protection.
  • Pension scheme: Group pension plan with employer contributions of up to 8.5%.
  • Flexible benefits: Access to additional benefits that can be tailored to individual needs.
  • Professional development: Free LinkedIn Learning access to more than 15,000 courses.
  • Career growth: Opportunities to develop expertise in healthcare analytics, clinical data management and reporting technologies.
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