Data Analyst – SQL & Transformation Program

Data Analyst – SQL & Transformation Program

Full-Time 29700 - 36300 Β£ / year (est.) No working from home possible
CBC Recruitment Solutions

At a Glance

  • Tasks: Analyse data and support major system transformations using SQL.
  • Company: Join a dynamic team at CBC Recruitment Solutions in Surrey.
  • Benefits: Competitive salary, flexible working hours, and opportunities for growth.
  • Other info: Collaborative environment with a focus on professional development.
  • Why this job: Make an impact by delivering reliable insights for decision-making.
  • Qualifications: Experience with SQL and a passion for data analysis.

The predicted salary is between 29700 - 36300 Β£ per year.

CBC Recruitment Solutions in the United Kingdom seeks a Data Analyst to join our client's team in Surrey.

The role focuses on data analysis, data quality, and supporting data solutions across a major system transformation.

You will work closely with the Data Migration Manager, Business Analysts and ETL Developers to classify data elements, apply SQL-driven analyses, and help deliver reliable insights for decision making.

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Data Analyst – SQL & Transformation Program employer: CBC Recruitment Solutions

Join a well-established and respected provider of business lending solutions in East Kilbride, where you will lead a dedicated team of collectors in a supportive and dynamic work environment. The company prioritises employee growth through comprehensive training and coaching, ensuring that you have the tools to succeed while fostering a culture of fairness and respect for customers. With a strong focus on teamwork and professional development, this role offers a unique opportunity to make a meaningful impact in the financial services sector.

CBC Recruitment Solutions

Contact Details:

CBC Recruitment Solutions Recruitment Team

StudySmarter Expert Advice🀫

We think this is how you could land Data Analyst – SQL & Transformation Program

✨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 CBC Recruitment Solutions!

✨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 Analyst – SQL & Transformation Program at CBC Recruitment Solutions.

✨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 CBC Recruitment Solutions.

✨Apply Directly through Our Website

When you find a suitable opening like Data Analyst – SQL & Transformation Program at CBC Recruitment Solutions, 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 Analyst – SQL & Transformation Program

Problem-Solving Skills
Communication Skills
SQL
Python
Attention to Detail
Analytical Skills
Automation

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 CBC Recruitment Solutions, 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 CBC Recruitment Solutions. 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 CBC Recruitment Solutions

✨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 CBC Recruitment Solutions!

✨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.