BI & Data Quality Officer (Power BI, SQL) – Hybrid London

BI & Data Quality Officer (Power BI, SQL) – Hybrid London

London Full-Time 31500 - 38500 Β£ / year (est.) Hybrid
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At a Glance

  • Tasks: Maintain Power BI dashboards and validate programme data for reliable reporting.
  • Company: Join the Methodist Church in Britain, a supportive and community-focused organisation.
  • Benefits: Enjoy a hybrid work model, competitive salary, and opportunities for professional growth.
  • Other info: Be part of a dynamic team dedicated to data excellence.
  • Why this job: Make a difference by ensuring data quality and supporting impactful decision-making.
  • Qualifications: Experience with SQL, DAX, and Power BI is essential.

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

The Methodist Church in Britain is seeking a permanent Data Officer to join Frontline's Data and BI function, focusing on maintaining Power BI dashboards, validating programme data, and investigating quality issues to support reliable reporting. This hybrid role requires hands-on SQL, DAX and Power BI, with responsibilities spanning data validation, governance, data modeling, and responding to data requests from colleagues.

BI & Data Quality Officer (Power BI, SQL) – Hybrid London employer: Frontline

At Frontline Group, we pride ourselves on being an exceptional employer that values data-driven decision-making and fosters a collaborative work culture. Our commitment to employee growth is evident through our comprehensive benefits package, including 28 days of holiday, hybrid working arrangements, and extensive learning opportunities, all within a diverse and inclusive environment in Peterborough. Join us to make a meaningful impact while enjoying a supportive atmosphere that empowers you to thrive.

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Contact Details:

Frontline Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land BI & Data Quality Officer (Power BI, SQL) – Hybrid London

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We think you need these skills to ace BI & Data Quality Officer (Power BI, SQL) – Hybrid London

Power BI
SQL
DAX
Data Validation
Data Governance
Data Modelling
Reporting Skills

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!

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Craft a Tailored Cover Letter:For a full-time role at Frontline, 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 Frontline. 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 Frontline

✨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!

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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

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✨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.