Data Governance & Quality Analyst in Bristol

Data Governance & Quality Analyst in Bristol

Bristol Full-Time 46300 - 52800 £ / year (est.) No working from home possible
Hargreaves Lansdown plc

At a Glance

  • Tasks: Support data governance and quality across critical data assets while collaborating with key stakeholders.
  • Company: Hargreaves Lansdown PLC, a leading financial services company in Bristol.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Exciting opportunity to work in a fast-paced environment with career advancement potential.
  • Why this job: Join a dynamic team to enhance data understanding and drive impactful decision-making.
  • Qualifications: Experience in data management and a passion for improving data quality.

The predicted salary is between 46300 - 52800 £ per year.

Hargreaves Lansdown PLC in Bristol is seeking a Data Management Analyst to support data governance, quality and lineage across critical data assets.

You will collaborate with data custodians, stewards and owners to embed best practices and drive improvements in data understanding and trust.

You will apply data discovery, cataloging and quality measurement to enable reliable reporting and data-driven decision making.

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Data Governance & Quality Analyst in Bristol employer: Hargreaves Lansdown plc

Hargreaves Lansdown PLC is an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration in the heart of Bristol. With a focus on employee growth, we provide opportunities for professional development alongside competitive benefits such as a discretionary annual bonus and flexible working options, making it an ideal place for those looking to make a meaningful impact in the financial sector.

Hargreaves Lansdown plc

Contact Details:

Hargreaves Lansdown plc Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Data Governance & Quality Analyst in Bristol

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 Hargreaves Lansdown plc!

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 Governance & Quality Analyst at Hargreaves Lansdown plc.

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 Hargreaves Lansdown plc.

Apply Directly through Our Website

When you find a suitable opening like Data Governance & Quality Analyst at Hargreaves Lansdown plc, 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 Governance & Quality Analyst in Bristol

Communication Skills
Attention to Detail
Problem-Solving Skills
SQL
Python
Automation
Data Governance

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 Hargreaves Lansdown plc, 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 Hargreaves Lansdown plc. 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 Hargreaves Lansdown plc

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 Hargreaves Lansdown plc!

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.