At a Glance
- Tasks: Analyse data and create insightful dashboards using Power BI and SQL.
- Company: TXP, a forward-thinking company with a hybrid work culture.
- Benefits: Competitive pay of £250 per day and flexible working arrangements.
- Other info: 3-month contract with opportunities for growth and learning.
- Why this job: Gain hands-on experience in data analysis and make an impact on business decisions.
- Qualifications: Familiarity with Power BI, SQL, and Excel is essential.
The predicted salary is between 60000 - 60000 £ per year.
TXP is offering a Junior Data Analyst contract role in a hybrid setup, requiring one day per week in London. The position focuses on data analysis, reporting, and insights across operational and transformation initiatives.
The ideal candidate will utilize Power BI, SQL, and Excel to work with raw data, creating structured datasets and dashboards for business stakeholders.
This role is a 3-month contract paid at £250 per day inside IR35.
Hybrid Junior Data Analyst: Dashboards, SQL & Power BI employer: TXP
TXP is an excellent employer that fosters a collaborative and innovative work culture, providing employees with the opportunity to grow their skills in data analysis while working with cutting-edge tools like Power BI and SQL. With a hybrid work model that allows for flexibility and a supportive environment, employees can thrive both personally and professionally, making meaningful contributions to operational and transformation initiatives in the heart of London.
StudySmarter Expert Advice🤫
We think this is how you could land Hybrid Junior Data Analyst: Dashboards, SQL & Power BI
✨Tap into Online Data Science Communities
Join online communities focused on data science like Kaggle, LinkedIn groups, or Reddit threads. These are goldmines for temporary gigs, as you can network with professionals and potentially hear about opportunities at companies like TXP before they're even advertised!
✨Show Off Your Skills With Projects
Got some cool data science projects? Showcase them on platforms like GitHub or create a personal portfolio website. This visibility is crucial for landing temporary roles—let recruiters see your actual skills in action, which can set you apart from the crowd.
✨Check Out Specialist Job Boards
For temp roles, hit up job boards dedicated to tech and data science, like Stack Overflow Jobs or DataJobs. These platforms often feature openings that you won’t find on general job sites, including contracts with companies like TXP.
✨Leverage University Resources
If you're currently at uni or recently graduated, tap into your school's career services. They often have connections with companies looking for temporary data science interns or contract workers, and they might even host job fairs with employers like TXP.
We think you need these skills to ace Hybrid Junior Data Analyst: Dashboards, SQL & Power BI
Some tips for your application 🫡
Highlight Your Data Projects:When applying for a temporary data science role at TXP, make sure to showcase any relevant projects you've worked on. Whether it's a personal project, an academic undertaking, or contributions to an open-source initiative, detailing these experiences can really set you apart and demonstrate your practical skills.
Emphasise Your Analytical Skills:In your CV and cover letter, focus on the specific analytical skills that are key to data science. Mention any experience with statistical tools, programming languages like Python or R, and data visualisation software. Don't forget to include any certifications that may bolster your expertise!
Show Your Flexibility:Since this is a temporary role, it's important to convey your adaptability and willingness to learn. In your cover letter to TXP, emphasise how quickly you can get up to speed with new tools or projects. Highlight any previous experiences where you've had to adjust to new environments or challenges.
Craft a Unique Data-Driven Cover Letter:Instead of the usual generic cover letter, spice it up with some data! Maybe you’ve improved a process by 20% in a past role or cleaned a dataset with over a million entries. Use these stats to your advantage to grab TXP’s attention and show the tangible impact of your work.
How to prepare for a job interview at TXP
✨Showcase Your Analytical Skills
For a data science gig, it's crucial to demonstrate your analytical abilities. Be ready to discuss previous projects and the methodologies you used. Think about how you can quantify your impact—did your analysis improve efficiency or save costs? These are the stories that will stick with interviewers at TXP.
✨Brush Up on Technical Skills
You might face technical questions on tools relevant to data science, like Python, R, or SQL. Prepare to solve a problem live—perhaps they'll ask you to write a simple query or code snippet. It’s cool to talk about them, but we need to show we can do it in practice, especially in a temporary role where quick results matter.
✨Highlight Your Adaptability
Since this is a temporary position, emphasise your ability to learn quickly and adapt to new tools or workflows. Share examples of how you've thrived in fast-paced environments before, and how you can hit the ground running at TXP.
✨Prepare a Portfolio of Your Work
Bring your portfolio to the table—showcase projects where you've leveraged data science techniques to solve problems. Whether it’s a GitHub repository or a set of case studies, having tangible examples of your work will help you stand out and show what you bring to the team at TXP.
