Remote Data Platform Analyst | SQL, Python & Snowflake

Remote Data Platform Analyst | SQL, Python & Snowflake

Full-Time 63000 - 77000 £ / year (est.) Home office (partial)
Rebel Recruitment Limited

At a Glance

  • Tasks: Maintain and enhance a cloud-based data platform using SQL, Python, and Snowflake.
  • Company: Join Rebel Recruitment Limited, a remote-friendly company with a focus on data.
  • Benefits: Enjoy flexible working, competitive pay, and opportunities for professional growth.
  • Other info: Be part of a dynamic team that values innovation and collaboration.
  • Why this job: Make an impact by ensuring data accuracy and supporting key business insights.
  • Qualifications: Experience with SQL, Python, and data governance is essential.

The predicted salary is between 63000 - 77000 £ per year.

Rebel Recruitment Limited is seeking a Data Platform Analyst to join a remote-friendly data team.

The role focuses on maintaining and improving a cloud-based data platform, ensuring data accuracy across CRM, payments and analytics.

You will use Python and SQL with Snowflake, build datasets, support KPI reporting and implement data pipelines while ensuring GDPR-compliant data governance and clear documentation.

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Remote Data Platform Analyst | SQL, Python & Snowflake employer: Rebel Recruitment Limited

Rebel Recruitment Limited is an excellent employer for those seeking a dynamic role as an ERP SAP B1 Support Specialist in Nottingham. With a hybrid working arrangement, employees benefit from a flexible work-life balance while being part of a supportive team that prioritises technical skill development and collaboration. The company fosters a positive work culture that encourages growth and innovation, making it an ideal place for individuals looking to make a meaningful impact in their careers.

Rebel Recruitment Limited

Contact Details:

Rebel Recruitment Limited Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Remote Data Platform Analyst | SQL, Python & Snowflake

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 Rebel Recruitment Limited!

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 Remote Data Platform Analyst | SQL, Python & Snowflake at Rebel Recruitment Limited.

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 Rebel Recruitment Limited.

Apply Directly through Our Website

When you find a suitable opening like Remote Data Platform Analyst | SQL, Python & Snowflake at Rebel Recruitment Limited, 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 Remote Data Platform Analyst | SQL, Python & Snowflake

SQL
Python
Snowflake
Data Accuracy
KPI Reporting
Data Pipelines
GDPR Compliance

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 Rebel Recruitment Limited, 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 Rebel Recruitment Limited. 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 Rebel Recruitment Limited

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 Rebel Recruitment Limited!

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.