Data Analyst - Data Cleanse

Data Analyst - Telecoms - Data Cleansing Specialist • Hybrid: 2 days per week in Reading, London, Leeds or Birmingham • Travel: 1 visit to Birmingham per month • Rate: £350+ per day (Inside IR35) • Contract: Rolling 3-6 month extensions Role Overview A fantastic opportunity has arisen to join a major telecoms organisation at the heart of a UK-wide fibre transformation programme. This is a large-scale, high-impact initiative involving new technologies, mergers & acquisitions, and the modernisation of critical network infrastructure.This role offers the chance to work on complex, business-critical data challenges, helping shape a single source of truth across the organisation. With multiple new projects underway and long-term investment secured, this is an excellent opportunity to join a growing team where your work will have real, lasting impact - with strong potential for long-term contract extensions. The Role Working within the Fixed Access Engineering Team, you'll use your existing deep understanding of data to identify underlying data challenges and uncover anomalies across complex systems.This role is focused on improving data quality and consistency across the programme. You'll be responsible for cleaning and improving complex datasets, carrying out deep-dive analysis, and integrating and tracking data across multiple systems.You will investigate anomalies, interrogate data and tools in detail, and work closely with engineering and network teams to ensure issues are understood and resolved. A key part of the role will involve feeding corrected data back into core systems and productionalising data processes to drive long-term improvements.This is a highly collaborative position where you'll: • Work closely with design teams • Engage with network knowledge experts • Partner with data and engineering teams to ensure accuracy and alignment Key Responsibilities • Drive a data-led culture built on a single source of truth • Work with stakeholders to understand data challenges and anomalies • Use SQL and telecoms knowledge to identify data issues • Investigate anomalies across multiple tools and data sources • Clean, improve, and validate complex datasets • Integrate and track data across systems • Develop and implement automated data cleansing approaches • Build and support data flows into central inventory systems • Communicate insights and influence data-driven decisions • Ensure data is reintegrated in a robust, traceable way Essential Skills • Strong SQL (interrogating, merging, transforming data) • Experience investigating anomalies and data issues • Proven data cleansing experience • Ability to interrogate tools and complex datasets • Strong Excel (no VBA/macros required) • Good communication and stakeholder engagement • Strong understanding of data quality and data management best practices Desirable: • Experience with BigQuery / GCP • Knowledge of Fixed Telecoms / Fibre network data Apply Now This role is ideal for someone who enjoys digging into complex data, solving meaningful problems, and working closely with technical teams to drive real outcomes.If you have strong experience in SQL, data cleansing, anomaly investigation, and working with complex datasets, this is a fantastic opportunity to work on a high-profile national programme.👉 Before applying, ensure your CV clearly demonstrates: • Hands-on data cleansing and anomaly investigation experience • Strong SQL and data interrogation capability • Examples of working with complex or legacy datasets • Experience collaborating with technical, engineering, or network teams 📩 Apply as soon as possible to avoid missing out - strong candidates will be reviewed quickly, and this is a unique opportunity to make a real impact within a major telecoms programme. Desired Skills and Experience Data Hays Specialist Recruitment Limited acts as an employment agency for permanent recruitment and employment business for the supply of temporary workers. By applying for this job you accept the T&C's, Privacy Policy and Disclaimers which can be found at hays.co.uk