Data Analyst

Elements Limited
Warrington, United Kingdom
3 days ago

Role details

Contract type
Temporary contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Intermediate

Job location

Remote
Warrington, United Kingdom

Tech stack

Microsoft Excel
Data analysis
Computer Programming
Databases
Data Mining
SPSS (Software)
SAS (Software)
SQL Databases
Information Technology

Job description

Element is seeking a Data Analyst to join our team on an 18-month fixed-term contract, supporting our certification business at Warringtonfire. In this role, you will contribute to the development of both existing and new certification schemes by leveraging internal and publicly available data. You will play a key role in driving data-led decision making, identifying trends, and improving business performance through advanced data analysis and visualization. Responsibilities

  • Collaborate with project managers and stakeholders to understand analytics needs, define KPIs, and deliver actionable insights
  • Analyse complex datasets to answer key business questions and identify opportunities to improve efficiency and productivity
  • Develop and maintain interactive dashboards and visualisations using data from multiple sources
  • Design and implement scalable data acquisition and integration processes
  • Build and maintain databases and develop scripts to enable flexible data evaluation
  • Source and manage data from primary and secondary sources
  • Provide forecasting, capacity planning, and operational metrics to support business growth and planning

Requirements

  • Minimum 3 years' experience as a Data Analyst or in a similar analytical role
  • Strong ability to analyse complex datasets and identify trends and growth opportunities
  • Experience using data to support Business as Usual (BAU) operations and strategic decision making
  • Strong analytical skills including data mining, evaluation, and visualisation
  • Proficiency in SQL and Excel, with the ability to learn additional analytics tools
  • Experience designing databases and analytical models, including segmentation techniques
  • Practical experience with statistical analysis tools such as Excel, SPSS, or SAS
  • Programming experience with relevant analytical frameworks
  • Bachelor's degree (or equivalent) in Mathematics, Computer Science, Economics, Statistics, or a related field
  • Strong collaboration skills with experience working in team-oriented environments
  • Knowledge of the TIC (Testing, Inspection & Certification) industry is advantageous
  • Working from home contract

About the company

Element is one of the fastest growing testing, inspection and certification businesses in the world. Globally we have more than 9,000 brilliant minds operating from 270 sites across 30 countries. Together we share an ambitious purpose to 'Make tomorrow safer than today'. When failure in use is not an option, we help customers make certain that their products, materials, processes and services are safe, compliant and fit for purpose. From early R&D, through complex regulatory approvals and into production, our global laboratory network of scientists, engineers, and technologists support customers to achieve assurance over product quality, sustainable outcomes, and market access. While we are proud of our global reach, working at Element feels like being part of a smaller company. We empower you to take charge of your career, and reward excellence and integrity with growth and development. Industries across the world depend on our care, attention to detail and the absolute accuracy of our work. The role we have to play in creating a safer world is much bigger than our organization. Diversity Statement At Element, we always take pride in putting our people first. We are an equal opportunity employer that recognizes diversity and inclusion as fundamental to our Vision of becoming "the world's most trusted testing partner". All suitably qualified candidates will receive consideration for employment on the basis of objective work related criteria and without regard for the following: age, disability, ethnic origin, gender, marital status, race, religion, responsibility of dependents, sexual orientation, or gender identity or other characteristics in accordance with the applicable governing laws or other characteristics in accordance with the applicable governing laws.

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