Data Analyst

China Chambers UK
London, UK
about 2 months ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Compensation
£34,000.0 - £42,000.0
Working hours
Regular working hours
Job source

Tech stack

Data Analysis Bash Shell Big Data Databases Data Integrity Data Visualization Relational Databases Database Design R (Programming Language) Python (Programming Language) Unix Shell Microsoft Visio
+10 more
Microsoft SQL Server Oracle (Applications) Systems Development Life Cycle Power BI Software Engineering SQL Databases Tableau (Software) Data Processing Scripting Vba Programming Language

Job description

We are seeking a highly skilled Data Analyst to join our dynamic team. The successful candidate will be responsible for interpreting complex data sets to support strategic decision-making and optimise business processes. This role offers an excellent opportunity to work with cutting-edge tools and methodologies in a collaborative environment, contributing to the organisation’s growth and innovation. The position is paid and suitable for candidates with a strong background in data analysis, database management, and visualisation techniques., * Analyse large datasets using SQL, R, Python, and specialised tools such as Tableau and Power BI to identify trends, patterns, and insights.

  • Develop and maintain dashboards and reports to communicate findings effectively across various departments.
  • Design and optimise databases using Oracle, Microsoft SQL Server, and other relational database management systems.
  • Collaborate with business stakeholders to understand their analytical needs and translate these into technical solutions.
  • Conduct business analysis to support project requirements, ensuring alignment with organisational goals.
  • Assist in the development of data visualisation strategies using Visio, VBA, and Bash (Unix shell) scripting.
  • Participate in project management activities following the SDLC (Software Development Life Cycle) methodology to ensure timely delivery of analytics projects.
  • Contribute to database design improvements and data quality initiatives to enhance overall data integrity.
  • Support the realisation of project objectives through effective analysis skills and technical expertise.

Requirements

Do you have experience in SQL?, * Proficiency in SQL, R, Python, and VBA for data manipulation and analysis.

  • Experience with Tableau, Power BI, Visio, and other visualisation tools.
  • Strong knowledge of database management systems including Oracle and Microsoft SQL Server.
  • Familiarity with SDLC processes and project management principles.
  • Business analysis skills with the ability to interpret complex data requirements.
  • Database design expertise coupled with data analysis skills for optimisation purposes.
  • Knowledge of Bash (Unix shell) scripting is desirable but not essential.
  • Excellent analysis skills with attention to detail and problem-solving capabilities. This role offers an engaging environment for professionals eager to utilise their technical expertise in data analysis while supporting organisational growth through actionable insights.

Apply for this position

This job is hosted externally. Click below to view the full posting and apply.

Apply on indeed.com

Good distractions

Talks and stories from around this role — technically off-topic, practically not.

56 sec

Introduction to analytical data formats for software developers

Matthias Niehoff Matthias Niehoff · WWC Europe 2026

3:04 min

Database evolution and the funding behind vector databases

Erik Bamberg · LIVE

1:46 min

Traditional data architecture before Microsoft Fabric

Dr. Alexander Wachtel Dr. Alexander Wachtel +1 · WWC 2025

3:28 min

Defining big data and machine learning fundamentals

Ayon Roy · LIVE

3:09 min

Balancing data science skillings alongside systems engineering rigor

Nico Schmidt · LIVE

4:01 min

Managing application isolation via pluggable database models

Wei Hu Wei Hu · WWC 2022

Videos

See all

Related articles

See all