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Data Analyst

Qube recruitment
Posted 7 hours ago, valid for 8 days
Location

Gillingham, Kent ME8 0RU, England

Contract type

Full Time

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.

Sonic Summary

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  • Our client is seeking experienced Data Analysts to enhance their customer service-focused team.
  • The ideal candidate should have 3-5 years of experience in data engineering or a similar role, with a salary range of $70,000 to $90,000.
  • Key responsibilities include building reliable data pipelines, designing data models, and providing analytics and reporting support.
  • Candidates should possess strong SQL or Python skills, experience with BI tools, and a collaborative mindset.
  • This role offers benefits such as free parking, an on-site gym, and the flexibility of a hybrid work environment.

Our client are passionate about providing a 5* customer service to its clients. This busy expanding company want to add experienced Data Analysts to the existing staff.

A skilled Data Analytics Engineer would drive the development and optimisation of the data infrastructure, with a primary focus on analytics engineering to support revenue and business insights. This role is essential in empowering data-driven decision-making by creating and managing data pipelines, ensuring data quality, and developing reports and dashboards for key stakeholders.

Responsibilities:

  • Data Pipeline Management: Build and maintain reliable data pipelines to integrate, clean, and structure data from various sources and internal databases.
  • Data Modelling & Storage: Design and optimise data models for reporting and analytics, ensuring scalability and alignment with revenue and catalogue reporting needs.
  • Analytics & Reporting Support: Enable business teams with actionable insights by creating scalable data sources for BI tools.
  • Data Quality Assurance: Implement data validation, error handling, and quality checks to maintain high standards across the data ecosystem.
  • Collaboration: Work closely with finance and operations teams to ensure data solutions meet business goals and collaborate with stakeholders to refine data requirements.

Require Skills & Qualifications

  • 3-5 years in data engineering or a similar role, with expertise in pipeline development, data integration and business analytics support.

Technical Skills:

  • Strong SQL or Python skills
  • Proficient in cloud data warehousing and data modelling
  • Experience with Bi tools
  • Data validation, automated quality checks and troubleshooting
  • Familiar with cloud automation

Professional Skills:

  • Ability to align data projects with business goals and translate insights into actionable recommendations.
  • Strong communication skills, with the ability to present technical findings to non-technical audiences.
  • Analytical problem-solving to diagnose and resolve data pipeline issues.
  • Collaborative mindset to work with stakeholders across finance, operations, and leadership.
  • High attention to detail, ensuring data accuracy and maintaining clear documentation.

If you’re a data-driven problem solver looking to make a real impact, we’d love to hear from you! Apply now to be part of a growing team and help shape our company's future.

Benefits:

  • Free parking
  • On-site gym
  • On-site parking
  • Store discount
  • Work from home Hybrid

Apply now in a few quick clicks

In order to submit this application, a Reed account will be created for you. As such, in addition to applying for this job, you will be signed up to all Reed’s services as part of the process. By submitting this application, you agree to Reed’s Terms and Conditions and acknowledge that your personal data will be transferred to Reed and processed by them in accordance with their Privacy Policy.