At a Glance
- Tasks: Uncover unique data-driven stories in risk and finance.
- Company: Leading digital information group in the UK with a focus on innovation.
- Benefits: Generous holiday allowance, comprehensive health support, and flexible work options.
- Why this job: Make an impact by telling compelling stories through data analysis.
- Qualifications: Strong journalism skills and proficiency in Python or R.
- Other info: Join a dynamic team with opportunities for growth and creativity.
The predicted salary is between 30000 - 50000 £ per year.
A prominent digital information group in the United Kingdom is seeking a talented Data Journalist to join its expanding team. You will work primarily on uncovering unique stories using data related to risk, financial technology, and insurance.
The ideal candidate possesses strong journalism skills and proficiency in programming languages like Python or R, along with excellent analytical capabilities.
A hybrid or remote work option is available as well as generous employee benefits including increasing holiday allowance and comprehensive health support.
Remote Data Journalist: Data-Driven Risk & Finance Stories employer: Infopro Digital
Contact Detail:
Infopro Digital Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Remote Data Journalist: Data-Driven Risk & Finance Stories
✨Tip Number 1
Network like a pro! Reach out to fellow journalists, data analysts, or anyone in the finance sector. Use platforms like LinkedIn to connect and engage with industry professionals; you never know who might have a lead on your dream job!
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data-driven stories. Include examples where you've used Python or R to analyse data. This will give potential employers a taste of what you can bring to the table.
✨Tip Number 3
Prepare for interviews by brushing up on your knowledge of current trends in risk and finance. Be ready to discuss how you can leverage data journalism to uncover compelling stories that resonate with audiences.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we love seeing candidates who are proactive about their job search!
We think you need these skills to ace Remote Data Journalist: Data-Driven Risk & Finance Stories
Some tips for your application 🫡
Show Off Your Data Skills: Make sure to highlight your experience with data analysis and any programming languages you know, like Python or R. We want to see how you can turn numbers into compelling stories!
Tailor Your Application: Don’t just send a generic CV and cover letter. Take the time to tailor your application to our job description. Show us why you're the perfect fit for the Data Journalist role at StudySmarter!
Be Clear and Concise: When writing your application, keep it clear and to the point. We appreciate well-structured content that gets straight to the heart of your qualifications and experiences.
Apply Through Our Website: We encourage you to apply directly through our website. It’s the best way for us to receive your application and ensures you don’t miss out on any important updates from our team!
How to prepare for a job interview at Infopro Digital
✨Know Your Data
Make sure you brush up on your data analysis skills, especially in Python or R. Be ready to discuss how you've used these tools in past projects to uncover stories, as this will show your technical prowess and journalistic insight.
✨Research the Company
Dive deep into the digital information group’s recent work, especially their coverage of risk and finance stories. This will not only help you understand their style but also allow you to ask informed questions during the interview, showing your genuine interest.
✨Prepare Your Portfolio
Have a selection of your best data-driven stories ready to share. Highlight pieces that demonstrate your analytical skills and storytelling ability, as this will give the interviewers a clear picture of what you can bring to the team.
✨Practice Common Questions
Anticipate questions related to both journalism and data analysis. Think about how you would explain complex data findings in simple terms, as this is crucial for a role that involves communicating intricate financial concepts to a broader audience.