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 Southampton employer: TechShack
Join a forward-thinking company that champions innovation and integrity in data journalism. With a remote work culture that prioritises flexibility and collaboration, you'll have the opportunity to engage with cutting-edge technology while working alongside industry leaders. The company fosters a supportive environment for professional growth, ensuring you can develop your skills and make a meaningful impact on global data narratives.
StudySmarter Expert Advice🤫
We think this is how you could land Senior Data Journalist in Southampton
✨Tip Number 1
Network like a pro! Reach out to professionals in the data journalism field on LinkedIn or Twitter. Engage with their content, ask questions, and don’t be shy about expressing your interest in their work. 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 investigative pieces, especially those involving complex datasets. Use platforms like GitHub to share your SQL and Python projects. This will give potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your technical skills and understanding the latest trends in data journalism. Be ready to discuss how you’ve tackled messy datasets in the past and how you can apply AI tools to enhance your research.
✨Tip Number 4
Don’t forget to apply through our website! We’re always looking for passionate individuals who are eager to dive into the world of data journalism. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data Journalist in Southampton
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. We love hearing about how you’ve uncovered insights from messy data and what techniques you used to validate your findings.
Be Detail-Oriented:We’re looking for someone with a strong attention to detail. In your application, give examples of how you’ve ensured accuracy in your work and questioned assumptions to get to the real meaning behind the data.
Apply Through Our Website:We encourage you to apply through our website for a smoother process. It’s the best way for us to keep track of your application and ensure it gets the attention it deserves!
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 issues in messy data and think about how you would approach validating and interrogating it. This will show your potential employer that you’re not just a data analyst but a true data journalist.
✨Showcase Your Technical Skills
Be ready to discuss your SQL and Python skills in detail. Prepare examples of past projects where you used these tools to analyse complex datasets. If possible, bring along a portfolio or case studies that highlight your technical prowess and investigative techniques.
✨Prepare for Scenario Questions
Expect questions that put you in hypothetical situations involving data validation and analysis. Think about how you would handle inconsistencies or anomalies in datasets. Practising your thought process out loud can help you articulate your investigative mindset during the interview.
✨Engage with Stakeholder Collaboration
Since this role involves working with both technical and non-technical stakeholders, prepare to discuss how you’ve successfully communicated complex findings in the past. Highlight your ability to turn intricate data insights into clear, actionable outputs that everyone can understand.
