At a Glance
- Tasks: Validate and ensure the quality of data across systems and reporting platforms.
- Company: Join a multi award-winning private bank known for innovation and client-focused solutions.
- Benefits: Competitive salary, professional development, and a chance to work in a dynamic environment.
- Other info: Collaborative culture with opportunities for career growth in financial services.
- Why this job: Be at the forefront of data-driven change and make a real impact on business decisions.
- Qualifications: Experience in data testing and proficiency in SQL required.
The predicted salary is between 40000 - 50000 £ per year.
We are currently partnered with a multi award-winning private bank and wealth manager that delivers a comprehensive international wealth management offering through its wealth planning, investment management, and banking services. Serving both private and business clients worldwide, the organisation is recognised for its commitment to excellence, innovation, and client-focused solutions.
The Role
Our client is seeking a detail-oriented and analytical Test Analyst to join their data function, with a primary focus on testing within the data landscape. This role plays a critical part in ensuring the quality, accuracy, and integrity of data across systems, reporting platforms, and transformation processes. Working at the heart of data-driven change, you will be responsible for validating data pipelines, supporting system enhancements, and providing confidence that the data underpinning business decisions is complete, accurate, and fit for purpose. You will collaborate closely with data engineers, analysts, technology teams, and business stakeholders to define effective testing approaches, execute comprehensive data validation activities, and identify and resolve issues early in the delivery lifecycle.
Responsibilities & Duties
- Design and execute test plans focused on data quality, data migration, and system integrations.
- Validate data transformations between source and target systems, ensuring accuracy, consistency, and completeness.
- Develop and execute SQL-based queries to reconcile, validate, and analyse data outputs.
- Identify, log, and track data defects through to resolution, working collaboratively with technology and business teams.
- Support testing activities across data warehouses, reporting platforms, and analytics solutions.
- Contribute to test automation initiatives where appropriate, improving efficiency, consistency, and repeatability.
- Ensure data testing is embedded within project delivery and change initiatives from inception through to implementation.
- Provide clear and concise reporting on testing progress, issues, risks, and outcomes to key stakeholders.
- Support the definition, implementation, and maintenance of data quality standards and controls.
- Partner with business users to validate that outputs meet requirements and are suitable for operational and strategic use.
Skills & Experience
- Strong experience in data testing, data validation, or quality assurance within a data or analytics environment.
- Proficient in SQL and data interrogation techniques.
- Solid understanding of data warehousing concepts, ETL processes, and data pipelines.
- Experience working with both structured and unstructured data sources.
- Exposure to testing tools and frameworks.
- Excellent attention to detail, with a strong focus on data accuracy, quality, and completeness.
- Ability to interpret business requirements and translate them into effective test scenarios and validation activities.
- Experience working within change or project environments, ideally within financial services.
- Strong stakeholder management skills, with the ability to collaborate effectively across technology and business teams.
- Awareness of data governance principles, data quality frameworks, and associated controls.
- Understanding of regulatory expectations relating to data (desirable).
- Relevant testing certification, such as ISTQB (desirable).
- Relevant data or analytics certifications (desirable).
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We think this is how you could land Test Analyst (12m FTC) in Douglas
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We think you need these skills to ace Test Analyst (12m FTC) in Douglas
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 Bullfinch, 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.
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How to prepare for a job interview at Bullfinch
✨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.
