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 an 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
Locations
Senior Data Journalist in Cheshire, Warrington 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 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 Cheshire, Warrington
✨Tip Number 1
Network like a pro! Reach out to people in the industry, especially those who work in data journalism or related fields. A friendly chat can lead to insider info about job openings that aren't even advertised yet.
✨Tip Number 2
Show off your skills! Create a portfolio showcasing your best data stories and analyses. Use platforms like GitHub to share your SQL and Python projects. This gives potential employers a taste of what you can do!
✨Tip Number 3
Prepare for interviews by brushing up on your investigative techniques. Be ready to discuss how you've tackled messy datasets in the past and how you validated your findings. Real-world examples will make you stand out!
✨Tip Number 4
Don’t forget to apply through our website! We’re always on the lookout for passionate individuals who can dig deep into data. Your next big opportunity could be just a click away!
We think you need these skills to ace Senior Data Journalist in Cheshire, Warrington
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 experiences; tell us the stories behind them! Share specific examples of how you’ve investigated and validated data, and what insights you uncovered. We love a good narrative!
Be Detail-Oriented:Attention to detail is key in this role. When you’re writing your application, double-check for any inconsistencies or errors. Show us that you care about accuracy right from the start!
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 prepared to discuss your SQL and Python skills in detail. Bring examples of past projects where you’ve used these tools to analyse complex datasets. If possible, have a mini portfolio ready to demonstrate your technical prowess and how it relates to investigative journalism.
✨Emphasise Your Investigative Mindset
During the interview, highlight your sceptical approach to data. Share specific instances where you questioned assumptions or uncovered hidden connections in your previous work. This will resonate well with the company’s focus on thorough investigations and validation.
✨Engage with AI and Tech Tools
Since the role involves exploring AI and LLM tools, come prepared with ideas on how these technologies can enhance research and validation processes. Discuss any experience you have with such tools and how they can support your investigative workflows.
