Graduate Data Analyst | SSRS/SQL & Power BI Reporting in Dartford

Graduate Data Analyst | SSRS/SQL & Power BI Reporting in Dartford

Dartford Full-Time 28800 - 48000 £ / year (est.) On-site
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At a Glance

  • Tasks: Enhance data reporting and analysis capabilities using SQL Server, SSRS, and Power BI.
  • Company: Well-established business in Dartford with a supportive work environment.
  • Benefits: Gain hands-on experience in data analysis and improve your skills.
  • Other info: Onsite presence required five days a week for collaborative work.
  • Why this job: Join a team focused on data quality and stakeholder reporting.
  • Qualifications: Strong background in data analysis and proficiency in SQL Server and Microsoft Office.

The predicted salary is between 28800 - 48000 £ per year.

A well-established business in Dartford is seeking a Graduate Data Analyst to enhance its data reporting and analysis capabilities. The ideal candidate will have a strong background in data analysis, proficiency in SQL Server, SSRS, and experience with Microsoft Office tools such as Access and Excel.

This role offers an opportunity to work in a supportive environment focused on improving data quality and stakeholder reporting, requiring onsite presence five days a week.

Graduate Data Analyst | SSRS/SQL & Power BI Reporting in Dartford employer: Ashdown Group

Join a dynamic finance team in Central London as a Credit Controller, where you will enjoy a hybrid working model that promotes work-life balance. Our supportive work culture fosters collaboration and professional growth, offering opportunities to enhance your skills in credit control and finance processes. With a focus on results and a commitment to employee development, this role provides a meaningful chance to make an impact while working in a vibrant city environment.

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Contact Details:

Ashdown Group Recruitment Team

StudySmarter Expert Advice🤫

We think this is how you could land Graduate Data Analyst | SSRS/SQL & Power BI Reporting in Dartford

✨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 Ashdown Group!

✨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 Graduate Data Analyst | SSRS/SQL & Power BI Reporting at Ashdown Group.

✨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 Ashdown Group.

✨Apply Directly through Our Website

When you find a suitable opening like Graduate Data Analyst | SSRS/SQL & Power BI Reporting at Ashdown Group, 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 Graduate Data Analyst | SSRS/SQL & Power BI Reporting in Dartford

Data Analysis
SQL Server
SSRS
Microsoft Access
Microsoft Excel
Data Reporting
Stakeholder Reporting

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 Ashdown Group, 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 Ashdown Group. 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 Ashdown Group

✨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 Ashdown Group!

✨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.