At a Glance
- Tasks: Drive data governance and quality initiatives in a global organisation.
- Company: Join a leading global organisation with a focus on data transformation.
- Benefits: Competitive salary, hybrid work model, and opportunities for professional growth.
- Other info: Collaborative environment with a focus on innovation and career advancement.
- Why this job: Make a real impact by enhancing data standards and promoting a data-driven culture.
- Qualifications: Experience in data governance, strong analytical skills, and excellent communication.
The predicted salary is between 65000 - 65000 £ per year.
Location: Hybrid – 3 days per week in Egham
Salary: up to £65,000
Contract: Permanent
A Senior Data Analyst (Snowflake) is required to join a global organisation, supporting the continued development of its data governance, data quality, and data platform capabilities. This role will work closely with business and technical stakeholders to improve data standards, enable trusted reporting, and support the organisation’s wider data transformation journey.
Key Responsibilities & Skills
- Support the development and implementation of data governance frameworks, standards, and processes across a global organisation.
- Work with stakeholders to define critical data elements, ownership models, and data quality expectations.
- Develop and maintain data quality rules, monitoring, reporting, and remediation processes to improve trust in business data.
- Support the adoption and effective use of data governance tools, including data cataloguing, metadata management, and data quality platforms.
- Partner with business teams to promote data ownership, stewardship, and a data-driven culture.
- Provide guidance, training, and support to colleagues to improve understanding and use of trusted data.
- Work with modern data platforms including Snowflake, supporting data governance capabilities such as Horizon Catalog, Streamlit, Metric Functions, and Trust Centre.
- Experience with Informatica Cloud Data Governance Catalog (CDGC), Cloud Data Quality (CDQ), dbt, and Master Data Management would be highly advantageous.
- Strong understanding of data governance frameworks, data quality principles, and industry best practices such as DAMA-DMBOK.
The organisation is looking for a data professional with strong experience across data governance and data quality, who can operate confidently between technical teams and business stakeholders. The successful candidate will have excellent communication skills, a strong analytical mindset, and the ability to translate complex data concepts into practical business outcomes.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Analyst in Egham
✨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 Investigo!
✨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 Senior Data Analyst at Investigo.
✨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 Investigo.
✨Apply Directly through Our Website
When you find a suitable opening like Senior Data Analyst at Investigo, 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 Senior Data Analyst in Egham
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 Investigo, 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 Investigo. 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 Investigo
✨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 Investigo!
✨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.
