At a Glance
- Tasks: Develop and maintain automated reporting processes to support data-driven decision making.
- Company: Join a leading organisation focused on data governance and consumer protection.
- Benefits: Competitive salary, flexible working hours, and opportunities for professional growth.
- Other info: Dynamic role with a focus on data quality and compliance in a supportive environment.
- Why this job: Make an impact by transforming complex data into clear insights for stakeholders.
- Qualifications: Experience with BI tools, advanced Excel, and strong communication skills required.
The predicted salary is between 35000 - 45000 £ per year.
Requirements
- Previous experience in a complex role producing MI
- Master of the art of data visualisation
- Extensive experience in use of BI tools like Tableau, Power BI, or QlikView for data visualisation and analysis
- Advanced Microsoft Excel for data manipulation (Index, Match, VBA, complex formulas)
- Demonstrable experience in SAS, SQL Server and Business Objects
- Advanced knowledge database interrogation & programming skills (relational database, advance select queries, indexes, and constraints)
- Solid understanding of data security and compliance standards to protect the integrity and confidentiality of data
- Experience of implementing suitable control mechanisms to prevent occurrence or re-occurrence of data quality issues
- Proven experience in conveying complex data findings to non-technical stakeholders in a clear and understandable manner
- Ability to use Technical Writing to create accurate product and service documentation
- Excellent communication skills and the ability to liaise with all stakeholders at all levels
- Good analytical, problem solving and conceptual skills in order to develop methodologies and processes
What the job involves
- Responsible for developing and maintaining standardised automated reporting processes conforming with data governance requirements across SCUK’s Operation
- Ensure business as usual KPI’s can be measured by leadership teams and that ongoing change is supported by meaningful and analysed data
- Develop and maintain standardised automated reporting ensuring that it is streamlined operationally and contains a single source of the truth to track operational performance
- Ensure all data is clear and engaging through visualisations when presented
- Manage various initiatives and contribute towards overall programme and project deliverables through the production of meaningful reports and complex data analysis
- Employ a “rapid response service” to take care of quick fire and simple business questions
- Define, create and maintain the data required for ad-hoc and regular reporting as well as dashboards needed for programme delivery and/or portfolio-level decision making
- Handle large volumes of data using SAS, SQL Server and Business Objects
- Communicate, present and influence at all levels
- Create and update procedure guides to evidence how tools and reports function
- Promote sound governance and work in line with control frameworks to ensure data is of the highest accuracy
- Adhere to our commitment to Consumer Duty ensuring we put our Customers’ needs first and set higher and clearer standards of consumer protection
The working hours for this role are 09:00-17:00, across Monday - Friday.
SCUK Data & Reporting Analyst employer: Santander
At SCUK, we pride ourselves on being an exceptional employer that fosters a collaborative and innovative work culture. As a Data & Reporting Analyst, you will benefit from extensive professional development opportunities, a commitment to data governance, and the chance to work with cutting-edge BI tools in a supportive environment. Our focus on employee well-being and consumer protection ensures that you will be part of a team dedicated to making a meaningful impact.
StudySmarter Expert Advice🤫
We think this is how you could land SCUK Data & Reporting 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 Santander!
✨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 SCUK Data & Reporting Analyst at Santander.
✨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 Santander.
✨Apply Directly through Our Website
When you find a suitable opening like SCUK Data & Reporting Analyst at Santander, 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 SCUK Data & Reporting 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 Santander, 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 Santander. 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 Santander
✨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 Santander!
✨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.
