At a Glance
- Tasks: Analyse large datasets and develop reporting solutions to drive business improvements.
- Company: Innovative fintech company in Manchester with a focus on data-driven decision-making.
- Benefits: Competitive salary, hybrid working, and opportunities for career growth.
- Other info: Join a dynamic team and help foster a data-driven culture.
- Why this job: Make a real impact by turning data into actionable insights that influence business decisions.
- Qualifications: Strong SQL skills and experience with Power BI or Tableau required.
The predicted salary is between 45000 - 65000 £ per year.
Location
Manchester (Hybrid - 2 days per week in the office)
The Opportunity
I'm currently working with an innovative fintech business in Manchester that is looking to hire a Data Analyst to join its growing data and technology team.
The organisation develops technology-led financial products and services, using data to improve customer experiences, optimise financial performance and support business growth.
As the business continues to expand, it's investing in its data capabilities to make better use of the information it collects and strengthen its analytical capabilities across the organisation.
This is a hands-on analytical opportunity where you'll work with large and varied datasets, develop reporting solutions and translate complex information into meaningful commercial insights.
You'll play an important role in understanding customer behaviour, monitoring business performance and identifying opportunities to improve products, processes and overall business efficiency.
You'll work closely with stakeholders across product, finance, operations, technology and senior leadership, helping turn data into actionable insights that influence business decisions.
The role will also involve developing dashboards, improving reporting processes and ensuring key business metrics are accurate, accessible and understood.
The ideal candidate will have strong SQL skills, experience with Power BI or Tableau and the ability to communicate analytical findings to both technical and non-technical audiences.
Experience working within fintech, financial services, banking, payments or another technology-led environment would be particularly valuable.
If you're a Data Analyst looking to work within a growing fintech business, gain exposure to financial and customer data and have a genuine influence on commercial and product decisions, this could be an excellent opportunity.
Key Responsibilities
- Analyse large datasets to identify trends, patterns, anomalies and opportunities for business improvement.
- Write and optimise SQL queries to extract, manipulate and analyse data from multiple sources.
- Develop and maintain dashboards and reporting solutions using Power BI, Tableau or similar visualisation tools.
- Analyse customer behaviour, transaction activity and product performance to identify meaningful business insights.
- Monitor key business metrics and KPIs, highlighting trends and areas requiring further investigation.
- Work closely with stakeholders across product, finance, operations, technology and commercial teams.
- Translate business requirements into analytical solutions and actionable recommendations.
- Investigate data discrepancies and support improvements in data accuracy, consistency and quality.
- Deliver regular and ad hoc reporting to support strategic planning and operational decision-making.
- Automate manual reporting processes and identify opportunities to improve analytical efficiency.
- Present findings and recommendations clearly to technical and non-technical stakeholders.
- Support the development of a more data-driven culture across the organisation.
Essential Skills and Experience
- Proven experience working as a Data Analyst or in a similar analytical role.
- Strong SQL skills, including extracting, joining, manipulating and analysing complex datasets.
- Experience using Power BI, Tableau or another data visualisation tool.
- Strong analytical and problem-solving skills, with the ability to interpret complex information.
- Experience developing dashboards, reports and performance metrics.
- Ability to translate business requirements into effective reporting and analytical solutions.
- Experience working with large datasets from multiple sources.
- Strong attention to detail and a commitment to data accuracy and quality.
- Excellent communication skills and the ability to explain analytical findings to non-technical stakeholders.
- A proactive approach to problem-solving, process improvement and identifying opportunities through data.
Desirable Skills and Experience
- Experience working within fintech, financial services, banking, insurance, payments or another technology-led financial business.
- Experience analysing financial, transactional, customer, payment or product data.
- Understanding of financial products, payment processes or digital banking services.
- Python experience for data analysis, automation or statistical analysis.
- Advanced Excel skills, including complex formulas, pivot tables and data manipulation.
- Familiarity with cloud data platforms, data warehouses or modern analytics environments such as Snowflake, Databricks or Microsoft Fabric.
- Experience working with customer segmentation, customer lifetime value, retention or behavioural analytics.
- Understanding of data governance, data quality and information security.
- Experience presenting insights and recommendations to senior stakeholders.
- Exposure to product analytics tools or experimentation, including A/B testing.
Package and Benefits
- Salary of £45,000 - £65,000, depending on experience.
- Hybrid working, with two days per week in the Manchester office.
- Opportunity to join an innovative and growing fintech business.
- Exposure to financial, transactional, customer and product datasets.
- Opportunity to influence commercial decisions and product development through data-driven insights.
- Collaboration with stakeholders across product, finance, technology and wider business functions.
- Scope to develop your technical skills and progress your analytics career within a growing organisation.
- A role offering genuine responsibility, ownership and the opportunity to make a measurable business impact.
- #J-18808-Ljbffr
Data Analyst employer: Oscar
Join a dynamic and innovative software and Business Intelligence organisation in Hertford, where you'll thrive in a hybrid work environment that promotes flexibility and collaboration. As a Data Consultant, you'll enjoy a varied role with opportunities for professional growth, including managing projects from inception to deployment and engaging with a European customer base. The company fosters a supportive culture that values continuous learning and offers exposure to exciting industry events, making it an excellent employer for those seeking meaningful and rewarding work.
StudySmarter Expert Advice🤫
We think this is how you could land Data 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 Oscar!
✨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 Analyst at Oscar.
✨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 Oscar.
✨Apply Directly through Our Website
When you find a suitable opening like Data Analyst at Oscar, 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 Analyst
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 Oscar, 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 Oscar. 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 Oscar
✨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 Oscar!
✨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.
