At a Glance
- Tasks: Uncover insights from complex data and validate findings using SQL and Python.
- Company: Join a leading company building one of the world's largest data platforms.
- Benefits: Competitive salary up to £150k, remote work, and opportunities for professional growth.
- Other info: Ideal for those who love digging into data and questioning assumptions.
- Why this job: Make a real impact by turning messy data into meaningful stories 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 News Reporter (Maternity Cover) 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, collaboration, and the use of cutting-edge technology, you will be part of a culture that encourages investigative thinking and data-driven storytelling. Enjoy competitive compensation and the chance to work with one of the world's largest data platforms, where your contributions will directly impact meaningful research and insights.
StudySmarter Expert Advice🤫
We think this is how you could land Senior News Reporter (Maternity Cover)
✨Tip Number 1
Network like a pro! Reach out to industry contacts on LinkedIn or through professional groups. We all know that sometimes it’s not just what you know, but who you know that can help you land that dream role.
✨Tip Number 2
Prepare for interviews by practising your storytelling skills. We want you to showcase your investigative mindset and how you’ve tackled complex datasets in the past. Make sure you can explain your thought process clearly!
✨Tip Number 3
Don’t shy away from showcasing your technical skills! If you’ve got experience with SQL and Python, make it known. We love seeing candidates who can demonstrate their ability to analyse and validate data effectively.
✨Tip Number 4
Apply directly through our website! It’s the best way to ensure your application gets seen by the right people. Plus, we’re always on the lookout for passionate individuals who are ready to dive into the world of data journalism.
We think you need these skills to ace Senior News Reporter (Maternity Cover)
Some tips for your application 🫡
Tailor Your CV:Make sure your CV reflects the skills and experiences that align with the Senior Data Journalist role. Highlight your SQL and Python expertise, as well as any relevant investigative research you've done. We want to see how you can dig into complex datasets!
Craft a Compelling Cover Letter:Your cover letter is your chance to shine! Use it to explain why you're passionate about data journalism and how your background makes you a perfect fit for this role. Don’t forget to mention your experience with messy datasets and your investigative mindset.
Showcase Your Projects:If you've worked on any projects involving data validation or analysis, make sure to include them in your application. We love seeing real examples of how you've tackled complex data challenges and turned them into meaningful insights.
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’re considered for the role. Plus, it shows you’re keen on joining our team at StudySmarter!
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’ll 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 investigative journalist.
✨Brush Up on Your SQL and Python Skills
Make sure you’re comfortable with SQL and Python, as these are crucial for the role. Consider doing a quick refresher on key functions and libraries that can help you analyse and clean data. Being able to discuss specific examples of how you've used these skills in past projects will definitely impress.
✨Prepare for Technical Questions
Expect some technical questions during the interview. Be ready to explain your methodology when working with complex datasets and how you’ve tackled inconsistencies in the past. Practising your responses to common data journalism scenarios can help you articulate your thought process clearly.
✨Showcase Your Investigative Mindset
During the interview, highlight your sceptical approach to data. Share examples of how you’ve questioned assumptions and validated findings in previous roles. This will demonstrate that you have the right mindset for digging into difficult datasets and uncovering meaningful insights.
