Data Quality Analyst

Data Quality Analyst

Full-Time 31500 - 38500 £ / year (est.) Home office (partial)
Teamtailor

At a Glance

  • Tasks: Ensure energy data accuracy and integrity while resolving discrepancies.
  • Company: Join LASER Energy, part of the UK's largest local authority-owned trading organisation.
  • Benefits: Enjoy a competitive salary, generous leave, and professional development opportunities.
  • Other info: Be part of a diverse team committed to inclusion and community support.
  • Why this job: Make a real impact on public services by improving energy data quality.
  • Qualifications: A-Levels or equivalent, strong analytical skills, and experience with large datasets preferred.

The predicted salary is between 31500 - 38500 £ per year.

Location: Kings Hill/Hybrid

Salary: £25,948.96

Contract type: 12-Month Fixed-Term contract

Hours: Full Time, 37 hours per week

We are looking for a Data Quality Analyst to join our team at LASER Energy, playing a key role in maintaining the accuracy and integrity of the energy data used to support public sector customers. This is an opportunity to make a meaningful impact, with responsibility for identifying data issues, resolving discrepancies and helping customers better understand their consumption, costs and carbon emissions. This role would suit someone who is passionate about data with strong analytical and problem-solving skills who is interested in developing their knowledge of energy data, utility billing and carbon reporting.

Who we are

LASER is part of Commercial Services Group (CSG), one of the UK’s largest local authority-owned trading organisations, operating 35+ businesses across education, energy, IT, procurement, HR and more. With over 1,700 employees, our ambition is to create value and impact for every customer, every day. Our mission is simple. We support the delivery of better public services to help people live, learn and thrive. This purpose underpins everything we do.

Why this role matters

You will play a key role in protecting the quality and reliability of customer data, ensuring energy information is accurate, complete and processed within agreed timescales. This is a role where analytical judgement, attention to detail and collaboration are essential, with responsibility for investigating data issues and managing them through to resolution. Your work will support accurate reporting and help public sector organisations manage their utility consumption, costs and carbon emissions effectively.

What you’ll be doing

  • Importing and maintaining customer data within the Bureau database
  • Validating invoices, site changes, meter changes and associated records
  • Reviewing large datasets to identify missing, duplicate or inaccurate information
  • Investigating data gaps, anomalies and discrepancies through to resolution
  • Managing data queries with customers, suppliers and internal stakeholders
  • Tracking corrective actions and maintaining clear records of resolved issues
  • Completing quality checks to ensure data is accurate and fit for purpose
  • Communicating data quality concerns that could affect customer reporting or service delivery
  • Identifying opportunities to improve data controls, processes and ways of working
  • Supporting the testing and adoption of systems and tools that improve data quality and efficiency

What we’re looking for

  • A-Levels or an equivalent qualification
  • Experience of delivering customer reporting outputs to tight schedules
  • A good understanding of the energy industry is advantageous
  • Strong analytical thinking and problem-solving skills
  • Some experience managing large datasets accurately and within agreed timescales would be a bonus
  • Strong IT skills, particularly across Microsoft Office applications
  • Excellent written and verbal communication skills
  • The ability to multitask, prioritise and manage time effectively
  • A resilient, adaptable and self-motivated approach
  • Strong relationship-building skills with the ability to work collaboratively across teams

What you’ll get in return

  • Salary of £25,948.96
  • 25 days annual leave, rising in line with policy for the role
  • Birthday Day Off
  • One concessionary day during the Christmas period
  • Pension scheme with employer contribution to be confirmed once the salary is provided
  • Life assurance cover
  • Access to Learning & Development opportunities via our CSG Academy

Inclusion & Accessibility

We are committed to fostering a diverse and inclusive workplace where everyone feels valued and respected. We encourage applications from suitably qualified people of all backgrounds. As a member of Inclusive Employers with Silver Accreditation, we are actively building an environment that supports inclusion, flexibility and belonging for all colleagues. We are committed to providing reasonable adjustments throughout our application and interview process; please let us know if you require any.

Data Quality Analyst employer: Teamtailor

At Teamtailor, we pride ourselves on being an excellent employer that fosters a collaborative and innovative work culture. As a Senior Backend Engineer, you will not only have the chance to work with cutting-edge technologies but also contribute to meaningful projects that make a real impact in the education technology sector. We offer ample opportunities for professional growth and development, ensuring that our employees thrive in their careers while enjoying the flexibility of remote work in the UK.

Teamtailor

Contact Details:

Teamtailor Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Quality Analyst

Get Involved in Data Science Meetups

Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Teamtailor!

Show Off Your Projects

Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Quality Analyst at Teamtailor.

Leverage Professional Networks

Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Teamtailor.

Apply Directly through Our Website

When you find a suitable opening like Data Quality Analyst at Teamtailor, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!

We think you need these skills to ace Data Quality Analyst

Problem-Solving Skills
Communication Skills
SQL
Python
Attention to Detail
Automation
Data Governance

Some tips for your application 🫡

Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!

Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!

Craft a Tailored Cover Letter:For a full-time role at Teamtailor, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.

Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Teamtailor. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!

How to prepare for a job interview at Teamtailor

Brush Up on Your Statistics

For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!

Showcase Your Projects

Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!

Get Comfortable with Python and R

Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Teamtailor!

Prepare for Case Studies

Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.