Data Analyst

Global One; Greater London; On-site; GBP 35,000 - 50,000; Full time

Job summary

A leading data solutions firm in Greater London is looking for a passionate certified Data Analyst. The successful candidate will convert data into actionable insights, focusing on statistical analysis and trends identification. Candidates should have a BS in relevant fields and strong analytical abilities. Familiarity with tools like Excel, SPSS, and SAS is essential. This role offers a dynamic environment where data-driven decisions drive business improvements.

Qualifications

• Proven working experience as a Data Analyst or Business Data Analyst.
• Technical expertise regarding data models, database design development.
• Strong analytical skills with attention to detail and accuracy.

Responsibilities

• Interpret data and analyze results using statistical techniques.
• Develop and implement databases and data analytics systems.
• Identify trends or patterns in complex data sets.

Skills

Data analysis

Technical expertise in data models

Statistical knowledge

Analytical skills

Report writing

Education

BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Tools

Excel

SPSS

SAS

Job description

We are looking for a passionate certified Data Analyst. The successful candidate will turn data into information, information into insight and insight into business decisions.

Requirements

• Proven working experience as a Data Analyst or Business Data Analyst
• Technical expertise regarding data models, database design development, data mining and segmentation techniques
• Knowledge of statistics and experience using statistical packages for analyzing datasets (Excel, SPSS, SAS etc)
• Strong analytical skills with the ability to collect, organize, analyze, and disseminate significant amounts of information with attention to detail and accuracy
• Adept at queries, report writing and presenting findings
• BS in Mathematics, Economics, Computer Science, Information Management or Statistics

Responsibilities

• Interpret data, analyze results using statistical techniques and provide ongoing reports
• Develop and implement databases, data collection systems, data analytics and other strategies that optimize statistical efficiency and quality
• Acquire data from primary or secondary data sources and maintain databases/data systems
• Identify, analyze, and interpret trends or patterns in complex data sets
• Filter and clean data by reviewing computer reports, printouts, and performance indicators to locate and correct code problems
• Work with management to prioritize business and information needs
• Locate and define new process improvement opportunities