At a Glance
- Tasks: Own and govern data, ensuring its reliability and value across the organisation.
- Company: Established Financial Services business building a new Data function.
- Benefits: Attractive salary, opportunity for growth, and a chance to shape data governance.
- Other info: Ideal for self-starters looking to bring structure to a developing function.
- Why this job: Be a pioneer in a new team and make a real impact on data management.
- Qualifications: Strong SQL skills, experience in data governance, and a background in Financial Services.
The predicted salary is between 29700 - 36300 £ per year.
James Adams Group is partnering with a well-established Financial Services business as it builds out a new Data function. This is a chance to be one of the first hires into a team that will shape how data is owned, governed and trusted across the organisation.
The opportunity
As a Data Steward, you'll own the story of the data: where it comes from, where it goes, and everything that happens to it along the way. Sitting between business users and the technical team, you'll set the standards that turn data into a reliable, valuable asset.
What you'll be doing
- Building out and maintaining the data catalogue
- Mapping lineage, transformations and cleansing logic from source to target
- Partnering with Data Engineering so data is handled and moved correctly
- Defining practical data quality rules for your datasets
- Investigating data issues alongside business users and engineers, and pushing for fixes at the root rather than downstream workarounds
- Becoming the go-to expert for the datasets you look after
What we're looking for
- Hands-on experience in a data governance or data management programme
- Strong SQL skills (essential); Python is a bonus
- Exposure to financial data, such as book of record, transactional, market or reference data
- A background within Financial Services
- Working knowledge of data privacy regulation (GDPR, CCPA)
- A degree in Computer Science, Information Systems, Data Science or similar is desirable
- Clear communicator who can translate between business and technical audiences
- Self-starter who enjoys bringing structure to a function that's still taking shape
Don't tick every box? If the role excites you and you bring relevant transferable skills, we'd still like to hear from you.
Data Steward employer: James Adams
Join a dynamic aerospace manufacturing team in Essex, where your expertise as a Quality Inspector will be valued and nurtured. With a hybrid working model and a focus on employee growth, we offer a supportive work culture that encourages collaboration and innovation. This role not only provides the chance to work on cutting-edge projects but also allows for flexibility and a strong emphasis on quality standards, making it an ideal environment for professionals seeking meaningful and rewarding employment.
StudySmarter Expert Advice🤫
We think this is how you could land Data Steward
✨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 James Adams!
✨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 Steward at James Adams.
✨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 James Adams.
✨Apply Directly through Our Website
When you find a suitable opening like Data Steward at James Adams, 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 Steward
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 James Adams, 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 James Adams. 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 James Adams
✨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 James Adams!
✨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.
