At a Glance
- Tasks: Investigate and validate complex datasets to uncover meaningful stories and insights.
- Company: Join a leading data platform with a focus on innovative investigative journalism.
- Benefits: Competitive salary up to £150k, fully remote work, and opportunities for professional growth.
- Other info: Ideal for detail-oriented individuals who thrive on accuracy and real-world meaning.
- Why this job: Make an impact by turning messy data into compelling narratives and insights.
- Qualifications: Strong SQL and Python skills, with a background in data journalism or investigative research.
The predicted salary is between 100000 - 150000 € per year.
We’re hiring a Senior Data Journalist to work directly with senior stakeholders at a company building one of the world’s largest data platforms. This role is focused on uncovering insights from complex, messy real-world data, combining investigative thinking, validation, and technical analysis to surface meaningful stories, patterns, and risks. You’ll be working with large-scale global company and ownership datasets, helping interrogate, validate, and explain data that powers investigative research, AI systems, and commercial intelligence products. This is not a traditional newsroom role. It’s ideal for someone who enjoys digging into difficult datasets, questioning assumptions, validating findings, and using technology to support deep investigative work.
What you’ll be doing:
- Investigating and validating complex company and ownership data
- Working with messy, multi-source datasets to identify inconsistencies, anomalies, and hidden connections
- Using SQL and Python to analyse, clean, and interrogate data
- Applying investigative techniques across structured and unstructured information
- Collaborating with technical and non-technical stakeholders to turn findings into clear outputs
- Exploring how AI and LLM tools can support research, validation, and investigative workflows
- Helping improve how data is structured, interpreted, and trusted across the platform
What they’re looking for:
- Strong SQL and Python skills
- Background in data journalism, investigative research, OSINT, analytics, or data-focused reporting
- Experience working with complex or unreliable datasets
- Strong attention to detail and a sceptical, investigative mindset
- Someone who cares about accuracy, methodology, and real-world meaning behind the data
- Bonus: experience with corporate, financial, regulatory, risk, or ownership data
Remote
£100k–£150k
Senior Data Journalist in Maidstone employer: TechShack
Join a forward-thinking company that values innovation and integrity, offering a unique opportunity for a Senior Data Journalist to thrive in a remote work environment. With a strong emphasis on employee growth, collaborative culture, and cutting-edge technology, you will be empowered to uncover meaningful insights from complex datasets while enjoying competitive compensation and the flexibility of remote work. This role not only allows you to engage with senior stakeholders but also positions you at the forefront of data-driven storytelling in one of the world's largest data platforms.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Journalist in Maidstone
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work with data journalism or investigative research. A friendly chat can lead to opportunities that aren’t even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best work with SQL and Python. Include examples of how you've tackled messy datasets and uncovered insights. This will make you stand out when you apply through our website.
✨Tip Number 3
Prepare for interviews by brushing up on your investigative techniques. Be ready to discuss how you validate findings and handle complex data. We want to see your thought process and how you approach problem-solving.
✨Tip Number 4
Stay updated on the latest trends in data journalism and AI tools. Being knowledgeable about new technologies can give you an edge. Plus, it shows your passion for the field when you apply through our platform!
We think you need these skills to ace Senior Data Journalist in Maidstone
Some tips for your application 🫡
Show Off Your Skills:Make sure to highlight your SQL and Python skills in your application. We want to see how you’ve used these tools in your previous work, especially when dealing with complex datasets.
Tell Your Story:Don’t just list your experience; tell us about the investigative projects you’ve worked on. Share specific examples where you uncovered insights or validated findings from messy data.
Be Detail-Oriented:We’re looking for someone with a strong attention to detail. In your application, emphasise your sceptical mindset and how it has helped you ensure accuracy in your work.
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 get to know you better!
How to prepare for a job interview at TechShack
✨Know Your Data Inside Out
Before the interview, dive deep into the types of datasets you might be working with. Familiarise yourself with common inconsistencies and anomalies in company and ownership data. This will not only show your expertise but also your genuine interest in the role.
✨Showcase Your Technical Skills
Be prepared to discuss your SQL and Python skills in detail. Bring examples of past projects where you've used these tools to analyse and clean messy datasets. If possible, have a small portfolio ready to demonstrate your technical prowess.
✨Emphasise Your Investigative Mindset
Highlight your experience in investigative research and how you approach validating findings. Share specific examples where your sceptical mindset led to uncovering significant insights or correcting inaccuracies in data.
✨Engage with Stakeholders
Since this role involves collaboration with both technical and non-technical stakeholders, practice explaining complex data concepts in simple terms. Prepare to discuss how you’ve successfully communicated findings in the past and how you can bridge the gap between data and storytelling.
