At a Glance
- Tasks: As a Data Analyst, you'll create data models, reports, and dashboards using Tableau.
- Company: Join one of the UK's largest independent finance houses with over 20 years of success.
- Benefits: Enjoy 25 days annual leave, hybrid working, and perks like gym membership and private medical insurance.
- Why this job: Be part of a collaborative team that values your ideas and offers growth opportunities in data analytics.
- Qualifications: Expertise in Tableau, SQL, and experience in stakeholder management are essential.
- Other info: This is a remote role with occasional travel to Newport required.
The predicted salary is between 28800 - 42000 £ per year.
Our client was established in 1996 to provide flexible and accessible finance to SMEs across the country. Now, more than 20 years on, they have grown to become one of the UK’s largest, independent finance houses. They have continued to deliver leading-edge finance solutions through a unique combination of teamwork and technology.
From this continued success they are now looking to recruit a Data Analyst to allow them to continue their exciting growth plans.
Their aim is to take the service they offer to the next level, to push the boundaries of what’s available, and to create great customer experiences consistent with their values.
Does that sound like something you’d like to be part of?
As a Data Analyst with Tableau expertise, you’ll be responsible for translating business requirements into practical data models, reports, and dashboards that deliver real insights. You will be working with complex datasets from a variety of sources, building robust data pipelines, and ensuring data accuracy and integrity throughout the process.
You’ll have the chance to work with cutting-edge technologies, including Azure Synapse, and help the team transition towards more cloud-based data analytics solutions. This role is ideal for someone who is looking to broaden their skill set, take ownership of their projects, and make a tangible impact on how the organisation leverages data.
Role responsibilities;
- Stakeholder engagement
- Data Modelling and Analysis
- Dashboard Development
- ETL & Data Pipelines
- Performance Monitoring & Reporting
- Data Governance
- Continuous Improvement
Key skills required;
- Expertise in Tableau, with a proven ability to build insightful and interactive dashboards.
- SQL, (e.g., writing complex queries, optimising performance, and managing large datasets).
- Excel
- Stakeholder management experience with the capability to translate complex data into insights that the business can act on
- Experience in Financial Services/and or Asset Finance is desirable.
So, why would you want to work here?
They have a great working environment and they are an ambitious business. They achieve so much because of their people. Everyone in the business, no matter their team or role can shape the outcome, share ideas, make suggestions, and have their voice heard. It’s a truly collaborative place to work.
They embrace hybrid working and with modern offices in Newport, London and Manchester, plus a field-based sales team, you’ll never be too far away from colleagues.
This is a remote role with occasional travel to Newport required (once a quarter).
Benefits you can expect:
- 25 days annual leave + bank holidays
- 2 additional days holiday after 5 years’ service
- Birthday day off
- Opt in Private Medical Insurance
- Subsidised gym membership at £18.75 a month
- Cycle to Work Scheme
- Electric Car Scheme
- Buy Annual Leave Scheme
- Half day seasonal shopping
- Auto enrolment pension – 3% employer contribution subject to eligibility
- Life Assurance 3 x basic salary
Data Analyst employer: The Curve Group
Contact Detail:
The Curve Group Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Data Analyst
✨Tip Number 1
Familiarize yourself with the specific tools and technologies mentioned in the job description, especially Tableau and Azure Synapse. Consider taking online courses or tutorials to enhance your skills and demonstrate your commitment to mastering these platforms.
✨Tip Number 2
Engage with the finance community on platforms like LinkedIn. Follow industry leaders and participate in discussions related to data analytics in financial services. This can help you gain insights and make valuable connections that could benefit your application.
✨Tip Number 3
Prepare to discuss your experience with stakeholder management during the interview. Think of examples where you've successfully translated complex data into actionable insights, as this is a key requirement for the role.
✨Tip Number 4
Research the company’s values and culture. Be ready to articulate how your personal values align with theirs, and how you can contribute to their collaborative environment. This will show that you're not just a fit for the role, but also for the company.
We think you need these skills to ace Data Analyst
Some tips for your application 🫡
Understand the Role: Make sure to thoroughly read the job description for the Data Analyst position. Understand the key responsibilities and required skills, especially focusing on Tableau expertise and data modeling.
Tailor Your CV: Customize your CV to highlight relevant experience in data analysis, particularly with Tableau and SQL. Include specific examples of past projects where you translated complex data into actionable insights.
Craft a Compelling Cover Letter: Write a cover letter that reflects your enthusiasm for the role and the company. Mention how your skills align with their goals of enhancing customer experiences and driving data-driven decisions.
Showcase Your Technical Skills: In your application, emphasize your technical skills related to data analytics, such as building dashboards, managing datasets, and any experience with cloud technologies like Azure Synapse.
How to prepare for a job interview at The Curve Group
✨Showcase Your Tableau Skills
Since the role requires expertise in Tableau, be prepared to discuss your previous projects where you built dashboards. Bring examples that highlight your ability to create insightful and interactive visualizations.
✨Demonstrate SQL Proficiency
Expect questions about SQL, especially regarding complex queries and performance optimization. Brush up on your SQL skills and be ready to explain how you've managed large datasets in past roles.
✨Engage with Stakeholders
Stakeholder management is key for this position. Prepare to discuss how you've translated complex data into actionable insights for stakeholders in previous jobs. Share specific examples of successful collaborations.
✨Emphasize Continuous Improvement
The company values continuous improvement, so be ready to talk about how you've contributed to process enhancements in your past roles. Highlight any initiatives you've taken to improve data accuracy or reporting efficiency.