Data Analyst

Global Ltd
Manor Park, United Kingdom
13 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Compensation
£ 55K

Job location

Manor Park, United Kingdom

Tech stack

Microsoft Excel
Business Analytics Applications
Data analysis
Big Data
Databases
Data Cleansing
Data Visualization
Data Warehousing
Python
Power BI
SQL Databases
Tableau
Information Technology

Job description

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, analyzing, and interpreting data to help support business decisions and improve overall performance., * Collect, clean, and analyze large datasets from multiple sources

  • Identify trends, patterns, and insights to support business strategies
  • Prepare reports, dashboards, and visualizations using analytical tools
  • Work closely with different departments to understand data requirements
  • Monitor key performance indicators (KPIs) and generate regular reports
  • Ensure data accuracy, integrity, and consistency
  • Assist in forecasting, process improvement, and decision-making activities
  • Present findings and recommendations to stakeholders

Requirements

Do you have experience in Tableau?, Do you have a Bachelor's degree?, * Bachelor's degree in Data Science, Statistics, Computer Science, Mathematics, Business Analytics, or related field

  • Strong knowledge of Excel, SQL, and data visualization tools such as Power BI or Tableau
  • Experience with Python or R for data analysis is preferred
  • Good understanding of data cleaning, reporting, and statistical analysis
  • Strong analytical and problem-solving skills
  • Excellent attention to detail and communication skills
  • Ability to work independently and collaboratively in a team environment

Preferred Qualifications:

  • Experience with business intelligence tools and dashboard creation
  • Knowledge of databases and data warehousing concepts
  • Familiarity with predictive analysis and reporting automation

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