Cloud Data Analyst: ETL, SQL & Power BI (Gateshead)

Cloud Data Analyst: ETL, SQL & Power BI (Gateshead)

Gateshead Full-Time 31500 - 38500 £ / year (est.) No working from home possible
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At a Glance

  • Tasks: Develop and optimise cloud-based data workflows using SQL, ETL, and Power BI.
  • Company: Jackson Hogg Ltd., a forward-thinking company in the UK.
  • Benefits: Competitive salary, flexible working options, and opportunities for professional growth.
  • Other info: Collaborative environment focused on innovation and data governance.
  • Why this job: Join a dynamic team and make an impact with your data skills.
  • Qualifications: Experience with SQL, ETL processes, and Power BI is essential.

The predicted salary is between 31500 - 38500 £ per year.

Jackson Hogg Ltd. in the United Kingdom is seeking a data-savvy Analyst to develop and optimise cloud-based data workflows.

The role focuses on SQL-driven data warehousing, ETL design with AWS Glue, and building insightful Power BI dashboards to support business decisions.

You will collaborate with stakeholders across the organisation, ensuring data quality and governance while staying ahead of evolving analytics technologies and best practices.

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Cloud Data Analyst: ETL, SQL & Power BI (Gateshead) employer: Jackson Hogg Ltd

Join a dynamic and supportive team in Newcastle upon Tyne, where your expertise in Accounts Payable will be valued and rewarded. With a competitive salary and the flexibility of hybrid working, you'll thrive in a friendly environment that encourages professional growth and development. This is an excellent opportunity to make a meaningful impact within a well-established business during a period of exciting expansion.

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Contact Details:

Jackson Hogg Ltd Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Cloud Data Analyst: ETL, SQL & Power BI (Gateshead)

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Apply Directly through Our Website

When you find a suitable opening like Cloud Data Analyst: ETL, SQL & Power BI (Gateshead) at Jackson Hogg Ltd, 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 Cloud Data Analyst: ETL, SQL & Power BI (Gateshead)

SQL
ETL Design
AWS Glue
Power BI
Data Warehousing
Data Quality Assurance
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 Jackson Hogg Ltd, 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 Jackson Hogg Ltd. 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 Jackson Hogg Ltd

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 Jackson Hogg Ltd!

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.