BI Analyst

BI Analyst

Full-Time 28800 - 48000 £ / year (est.) No working from home possible
The Money and Pensions Service

At a Glance

  • Tasks: Transform data into impactful insights and create engaging dashboards for decision-making.
  • Company: Join the Money and Pensions Service, dedicated to improving financial wellbeing across the UK.
  • Benefits: Enjoy 30 days annual leave, a generous pension scheme, and flexible working options.
  • Other info: Be part of a dynamic team with excellent career development opportunities.
  • Why this job: Make a real difference in people's lives while developing your analytical skills.
  • Qualifications: Experience with Power BI, data analysis, and strong problem-solving abilities required.

The predicted salary is between 28800 - 48000 £ per year.

Join us at the Money and Pensions Service (MaPS) as a BI Analyst. This role offers you the chance to make a significant impact by enabling evidence-based decision‑making through high‑quality insight into the services MaPS funds, who is using them, and the wider debt advice landscape. Acting as the conduit between our data, the Debt Team, and the wider organisation, you\'ll deliver timely, accurate, and meaningful analysis that supports MaPS in fulfilling its statutory function. You\'ll clean, model, and transform data post‑ingestion to produce insightful dashboards and reports, empower colleagues to work more effectively, and drive data maturity across the organisation. You\'ll also champion data governance, improve data standards and literacy, and collaborate with internal teams and external partners to develop high‑quality data products that support strategic and operational goals. You\'ll be part of a dynamic team dedicated to helping people across the UK improve their financial wellbeing. The BI Analyst will report directly to Senior Continuous Improvement Manager.

Responsibilities

  • Develop high‑quality Power BI products with engaging visuals that tell the story of the data and provide actionable recommendations to colleagues, including senior leadership
  • Clean, model, transform, and analyse data to build robust, well‑governed data models
  • Respond to ad‑hoc insight requests by querying and interpreting relevant data
  • Drive data maturity and improve data management practices both locally and across MaPS
  • Understand the strategic objectives of the Debt Team and translate them into meaningful insight
  • Collaborate with upstream and downstream teams to ensure the flow of accurate, timely, and comprehensive data
  • Work with internal, supplier, and client data across areas such as operational performance, client profiles, business processes, quality assurance, and outcomes
  • Apply statistical methods and models to identify trends, challenges, and opportunities
  • Review and improve existing data systems and processes
  • Assess and enhance the quality of data collection and reporting practices
  • Ensure compliance with data governance policies and legal requirements around data security

Qualifications

  • Analytical expertise: Proven ability to deliver high‑quality analysis independently, applying statistical techniques (e.g. forecasting, regression, segmentation) to generate actionable insights and shape project direction.
  • Power BI proficiency: Skilled in creating engaging dashboards and visuals, with strong DAX capabilities for building robust data models and measures.
  • Data handling & tools: Competent in querying and analysing data using DAX, SQL, Python, or other relevant tools; experienced with diverse data sources including spreadsheets, flat files, and relational databases.
  • Data governance & management: Sound understanding of data management principles and adherence to high data governance standards.
  • Problem solving & judgement: Strong problem‑solving skills, including validating outputs, applying judgement, and knowing when to collaborate.
  • Business acumen & communication: Ability to quickly grasp business context and translate requirements into clear, compelling data stories for both technical and non‑technical audiences.

Desirable Qualifications

  • Understanding of the debt advice sector in England
  • Background or education in a numerical discipline
  • Experience working with both structured and unstructured data
  • Familiarity with improvement tools and methodologies (e.g. root‑cause analysis, 5 Whys)

About Us & Values

  • Caring – we care about our colleagues and the people whose lives we are here to transform.
  • Connecting – we will transform lives through our ability to make positive connections.
  • Transforming – we are committed to transforming lives and making a positive societal impact.

Benefits

  • Generous annual leave – 30 days plus bank holidays
  • Pension scheme – contributions matched 2:1 (up to 10% of your salary)
  • Interest‑free loan for season tickets for buses and trains
  • Cycle to work scheme
  • Subsidised eye tests & flu jabs
  • Life assurance scheme
  • Give‑as‑you‑earn scheme
  • Employee assistance programme (EAP)
  • PAM Assist and PAM Life scheme (wellbeing)
  • Enhanced family and sick pay
  • Paid volunteering (2 days a year)
  • Recognition scheme
  • Discounts portal to numerous retailers

Security

People working with government assets must complete baseline personnel security standard checks.

Nationality Requirements

  • UK nationals
  • Nationals of the Republic of Ireland
  • Nationals of Commonwealth countries who have the right to work in the UK
  • Nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities with settled or pre‑settled status under the European Union Settlement Scheme (EUSS)
  • Nationals of the EU, Switzerland, Norway, Iceland or Liechtenstein and family members of those nationalities who have made a valid application for settled or pre‑settled status under the EUSS
  • Individuals with limited leave to remain or indefinite leave to remain who were eligible to apply for EUSS on or before 31 December 2020
  • Turkish nationals, and certain family members of Turkish nationals, who have accrued the right to work in the Civil Service

Working for the Civil Service

The Civil Service Code sets out the standards of behaviour expected of civil servants. We recruit by merit on the basis of fair and open competition. The Civil Service embraces diversity and promotes equal opportunities and runs a Disability Confident Scheme for candidates with disabilities who meet the minimum selection criteria. For more information see the Civil Service People Plan and the Civil Service Diversity and Inclusion Strategy.

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BI Analyst employer: The Money and Pensions Service

At the Money and Pensions Service (MaPS), we pride ourselves on being an exceptional employer, offering a supportive and dynamic work culture that prioritises employee wellbeing and professional growth. With generous benefits such as 30 days of annual leave, a robust pension scheme, and flexible working arrangements, our Bedford-based team is dedicated to making a positive impact on financial wellbeing across the UK. Join us to be part of a mission-driven organisation that values collaboration, innovation, and the development of high-quality data insights.

The Money and Pensions Service

Contact Details:

The Money and Pensions Service Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land BI Analyst

Get to Grips with Data Visualisation Tools

If you're aiming for a full-time role in business intelligence, brush up on your skills with popular data visualisation tools like Tableau or Power BI. Showcasing projects where you've transformed raw data into clear visual insights can give you a real edge.

Join Local Business Intelligence Meetups

Look for local business intelligence meetups or analytics conferences in your area. These events are not just great for learning but also for networking with industry professionals who could lead you to opportunities at companies like The Money and Pensions Service!

Engage with Online BI Communities

Join online forums or communities focused on business intelligence—think LinkedIn groups, Reddit threads, or even dedicated Slack channels. Engage actively by sharing your insights and asking questions; this can help you build visibility and connect with potential employers.

Leverage Your University’s Career Support

If you're a recent graduate, definitely tap into your university's career services. Many have connections with companies in need of full-time BI specialists, and they can guide you on how to pitch yourself effectively—don't miss out on that!

We think you need these skills to ace BI Analyst

Power BI Proficiency
DAX Skills
SQL
Python
Data Cleaning
Data Modelling
Data Transformation

Some tips for your application 🫡

Highlight Your Analytical Skills:In the business intelligence field, showcasing your analytical skills is a must. Make sure your CV includes relevant experience with data analysis tools, programming languages like SQL or Python, and any projects where you've interpreted complex data sets to drive business decisions.

Showcase Your Business Acumen:Don't just focus on data; show us how you can apply your insights to real-world business problems. Highlight projects where you made a tangible impact on company performance, and be prepared to explain your thought process in your cover letter.

Tailor Your Documents for Us:When applying for a full-time role at The Money and Pensions Service, tailor your CV and cover letter to reflect our organisational goals and strategies. Mention specific tools and methodologies that align with what we do—this shows you’ve done your homework and are genuinely interested in our mission!

Include Relevant Certifications:Certifications like Google Data Analytics or similar qualifications can really make you stand out in business intelligence. Include these in your application, as they demonstrate your commitment to the field and your willingness to stay current with industry standards.

How to prepare for a job interview at The Money and Pensions Service

Show off your analytical skills

In a business intelligence role, you're going to need to demonstrate your analytical prowess. Be prepared to discuss specific tools you've used, like SQL, Tableau, or Power BI. Have real-world examples ready where you’ve turned data into actionable insights – this is what makes us shine in interviews!

Practice your technical know-how

Expect some technical questions during the interview that dive deep into your understanding of data modelling and analytics frameworks. Brush up on your knowledge of data warehousing concepts and be ready to tackle any real case scenarios they might present. They’ll want to see how you approach problems using your BI toolkit.

Portfolio of Projects

Since it's a full-time role, having a strong portfolio is key! Compile case studies demonstrating your previous projects, preferably showing how your insights led to business improvements. This can help us display how you think through complex datasets and your problem-solving process, which is what employers are keen on seeing.

Know their business model

Get familiar with The Money and Pensions Service’s business model and recent data-driven decisions. Be prepared to discuss how your skills can specifically support their objectives or challenges. Understanding their landscape shows that you’re not just a data buff, but you’re also genuinely interested in how BI can impact their bottom line.