At a Glance
- Tasks: Analyse data to drive strategic decisions and support investment initiatives.
- Company: Join a dynamic challenger bank focused on tech-driven decision-making.
- Benefits: Enjoy a £50,000 salary and flexible hybrid working model.
- Other info: Work collaboratively across teams to deliver actionable insights.
- Why this job: Be part of a growing team shaping BI strategy with high ownership.
- Qualifications: Strong SQL skills and experience in financial services or risk environments required.
The predicted salary is between 36000 - 60000 £ per year.
BI ANALYST (12 MONTH FTC)
LONDON/HYBRID
UP TO £56,000
This is a highly visible Data & Business Intelligence Analyst role within a purpose-led, data-driven organisation. It offers the opportunity to work at the intersection of business and technology, helping shape how data is governed, structured, and used to support critical decision-making and regulatory reporting.
ROLES AND RESPONSIBILITIES:
The BI Analyst will:
- Gather, analyse, and document business and technical requirements across multiple teams
- Build dashboards and reports using Power BI to support internal and external reporting needs
- Deliver datasets and analytical outputs to support decision-making and regulatory reporting
- Support data governance activities, including data dictionaries, business glossaries, and metadata management
- Lead and contribute to data modelling initiatives, including current and future-state models
- Collaborate with Data Stewards and Data Owners to improve data quality and resolve issues
- Support ETL, data migration, mapping, and data cleansing activities
- Conduct testing, quality assurance, and User Acceptance Testing to ensure accuracy and reliability
- Contribute to wider transformation programmes and continuous improvement across data processes
YOUR SKILLS AND EXPERIENCE:
The ideal candidate will have the following skills and experience:
- Strong SQL skills and experience working with relational data
- Experience building dashboards and reports in Power BI, including use of DAX
- Solid understanding of data modelling principles such as star and snowflake schema
- Experience with ETL processes and data integration
- Strong experience gathering and translating business requirements into technical solutions
- Proven ability to work with stakeholders to improve reporting and data quality
- Experience developing and maintaining data governance artefacts such as data dictionaries and business glossaries
- Strong communication skills, able to engage both technical and non-technical audiences
- Detail-oriented with a focus on data accuracy and quality
APPLY BELOW!
Business Intelligence Analyst in Warrington employer: Harnham
Join a dynamic challenger bank that prioritises tech-driven decision-making and offers a unique opportunity for Business Intelligence Analysts to take ownership of projects and influence strategic outcomes. With a flexible hybrid working model based in Manchester, you will thrive in a collaborative environment that fosters professional growth and innovation, all while contributing to impactful investment and growth initiatives.
StudySmarter Expert Advice🤫
We think this is how you could land Business Intelligence Analyst in Warrington
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like SQL, Power BI, and Tableau. Being able to demonstrate your proficiency in these tools during interviews can set you apart from other candidates.
✨Tip Number 2
Research the company’s recent projects and initiatives in business intelligence and portfolio analytics. This knowledge will help you engage in meaningful conversations during interviews and show your genuine interest in their work.
✨Tip Number 3
Prepare examples of how you've turned data into actionable insights in previous roles. Be ready to discuss specific scenarios where your analysis led to strategic decisions, as this aligns closely with the responsibilities of the role.
✨Tip Number 4
Network with professionals in the financial services sector, especially those working in challenger banks or analytics roles. Engaging with industry peers can provide valuable insights and potentially lead to referrals for the position.
We think you need these skills to ace Business Intelligence Analyst in Warrington
Some tips for your application 🫡
Tailor Your CV:Make sure your CV highlights your relevant experience in business intelligence, particularly your SQL skills and data visualisation expertise with Power BI or Tableau. Use keywords from the job description to align your application with what the company is looking for.
Craft a Compelling Cover Letter:Write a cover letter that showcases your passion for analytics and your ability to turn data into actionable insights. Mention specific examples of how you've worked cross-functionally in previous roles and how you can contribute to the company's strategic decisions.
Showcase Relevant Projects:If you have experience with projects related to credit risk, lending analytics, or portfolio strategy, be sure to include these in your application. Highlight your role in these projects and the impact they had on the organisation.
Proofread Your Application:Before submitting, carefully proofread your CV and cover letter for any spelling or grammatical errors. A polished application reflects your attention to detail, which is crucial for a Business Intelligence Analyst role.
How to prepare for a job interview at Harnham
✨Showcase Your SQL Skills
Since strong SQL skills are essential for this role, be prepared to discuss your experience with SQL in detail. Consider bringing examples of complex queries you've written or how you've used SQL to derive insights from data.
✨Demonstrate Data Visualisation Expertise
Familiarity with Power BI or Tableau is crucial. Bring along a portfolio of your previous work or be ready to discuss specific projects where you created impactful visualisations that drove decision-making.
✨Understand the Business Context
Research the company’s operations in savings, mortgages, and business banking. Be ready to discuss how your analytical skills can contribute to their strategic goals, especially in terms of investment and growth initiatives.
✨Prepare for Cross-Functional Collaboration
This role involves working closely with sales, product, and risk teams. Think of examples from your past experiences where you successfully collaborated across departments to achieve a common goal, and be ready to share those stories.
