Enable job alerts via email!

Technical Data Analyst

LinuxRecruit

City Of London

Hybrid

GBP 45,000 - 60,000

Full time

Today
Be an early applicant

Generate a tailored resume in minutes

Land an interview and earn more. Learn more

Job summary

A prominent UK brand is seeking a self-motivated Technical Data Analyst to conduct detailed analyses of large datasets. This hybrid role requires you to be in the London office twice a month. Candidates should have strong coding abilities in R and Python, along with experience in statistical software like SPSS. If you possess a knack for statistical analysis and data cleansing, apply now for more details.

Qualifications

  • Strong coding abilities in R and Python are a must.
  • Experience with statistical software like SPSS is essential.
  • Self-starter with the ability to work independently and within a team.

Responsibilities

  • Conduct detailed data analyses to support teams.
  • Perform repetitive tasks with precision and attention to detail.
  • Cleanse and preprocess large datasets effectively.

Skills

Coding in R
Proficiency in Python
Experience with SPSS
Statistical analysis techniques
Data cleansing
Attention to detail
Independent and team working

Education

Numerical Degree
Job description

Your experience as a self-motivated Technical Data Analyst is required to join one of the UK's most recognisable brands. Your role will primarily be to support teams in performing analyses of large datasets. The position is hybrid, requiring in-office presence in London twice a month. You will need to have strong coding abilities and experience in data analysis, with proficiency in R and Python, as well as familiarity with statistical software such as SPSS.

Your day to day responsibilities will include; conducting detailed data analyses Perform repetitive tasks with precision and attention to detail, utilising statistical methods to calculate standard deviations, standard percentages, and other relevant metrics. Top do so you will need experience cleansing and preprocessing large datasets, identifying and addressing data quality issues.

Key Skills and Experience
  • Proven experience coding in R
  • Competence in Python
  • Experience with statistical software such as SPSS
  • Strong understanding of statistical analysis techniques and metrics
  • Ability to handle and cleanse large datasets effectively
  • Self-starter with the ability to work independently and within a team
  • Ability to perform repetitive tasks with a high degree of accuracy
Nice to Have
  • Numerical Degree

If you are a technically adept data analyst with a knack for statistical analysis and data cleansing, and you're looking for an engaging contract role working for a brilliant brand, apply now for the full details!

Get your free, confidential resume review.
or drag and drop a PDF, DOC, DOCX, ODT, or PAGES file up to 5MB.