At a Glance
- Tasks: Support data governance tooling and ensure high-quality standards and compliance.
- Company: Join Experian, a global leader in data and technology with a people-first culture.
- Benefits: Enjoy hybrid working, competitive pay, healthcare, and generous leave policies.
- Other info: Be part of an award-winning workplace that values diversity and innovation.
- Why this job: Make an impact by improving data governance and collaborating with diverse teams.
- Qualifications: Knowledge of data governance, SQL, and strong stakeholder management skills.
The predicted salary is between 40000 - 50000 £ per year.
Experian is a global data and technology company, powering opportunities for people and businesses around the world. We help to redefine lending practices, uncover and prevent fraud, simplify healthcare, create marketing solutions, and gain deeper insights into the automotive market, all using our unique combination of data, analytics and software.
The Data Tooling Analyst supports the implementation, maintenance and improvement of data governance and management tooling. You will focus on maintaining high-quality governance artefacts, supporting tooling change, and ensuring the governance tool provides visibility of standards, policies, controls, conformance rules, lineage and accountabilities.
Main responsibilities:
- Support the implementation and ongoing use of data governance and management tooling following defined tasks, standards and controls.
- Work with the team to ensure the tooling meets needs and support the defined target operating model.
- Support prioritisation of tooling changes, including enhancements, operational improvements and defect fixes, based on assessment of risk and benefit.
- Maintain high quality metadata and governance artefacts within the tool, ensuring compliance with business, regulatory and policy requirements.
- Monitor completeness and quality of minimum standards across the data governance artefacts catalogue, including standards, policies, controls, conformance rules and lineage relationships.
- Carry out activities defined within the Data Tooling Change Management plan.
- Maintain and update reports, dashboards and supporting tools used to track delivery, risks and KPIs.
- Provide regular progress updates to management, escalating issues where required to support delivery against deadlines.
- Identify, assess and recommend improvements to data governance tooling and supporting processes.
- Produce and maintain clear documentation to support tool users and fellow team members.
- Seek guidance and collaborate with team members across the business.
Qualifications:
- Background in governance and knowledge of various regulations like GDPR and Consumer Duty
- Aperture experience
- SQL
- Basic Python
- System integrations/knowledge of APIs
- Automated workflow tools
- Strong stakeholder management
- Knowledge of AWS/S3
Benefits package includes:
- Hybrid working - 40% office based
- Great compensation package and discretionary bonus plan
- Core benefits include pension, bupa healthcare, sharesave scheme and more!
- 25 days annual leave with 8 bank holidays and 3 volunteering days. You can also purchase additional annual leave.
Experian's culture and people are important differentiators. We take our people agenda very seriously and focus on what matters; DEI, work/life balance, development, authenticity, collaboration, wellness, reward & recognition, volunteering... the list goes on. Experian's people first approach is award-winning; World's Best Workplaces™ 2024 (Fortune Top 25), Great Place To Work™ in 24 countries, and Glassdoor Best Places to Work 2024 to name a few.
Experian is proud to be an Equal Opportunity and Affirmative Action employer. Innovation is an important part of Experian's DNA and practices, and our diverse workforce drives our success. Everyone can succeed at Experian and bring their whole self to work, irrespective of their gender, ethnicity, religion, colour, sexuality, physical ability or age. If you have a disability or special need that requires accommodation, please let us know at the earliest opportunity.
Data Tooling Analyst in Nottingham employer: Experian
Experian is an exceptional employer that prioritises employee well-being and development, offering a hybrid working model and a comprehensive benefits package including a discretionary bonus plan, pension, and healthcare. With a strong focus on diversity, equity, and inclusion, Experian fosters a collaborative and innovative work culture, recognised as one of the World's Best Workplaces™. Employees have ample opportunities for growth and are encouraged to bring their authentic selves to work, making it a truly rewarding environment for a Data Tooling Analyst in Dublin.
StudySmarter Expert Advice🤫
We think this is how you could land Data Tooling Analyst in Nottingham
✨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 Experian!
✨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 Tooling Analyst at Experian.
✨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 Experian.
✨Apply Directly through Our Website
When you find a suitable opening like Data Tooling Analyst at Experian, 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 Tooling Analyst in Nottingham
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 Experian, 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 Experian. 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 Experian
✨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 Experian!
✨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.