At a Glance
- Tasks: Lead data-driven campaigns and uncover unique insights for compelling media stories.
- Company: Join a forward-thinking digital marketing agency that values creativity and innovation.
- Benefits: 30 days holiday, remote work options, and a clear personal development plan.
- Other info: Collaborative team culture with opportunities for charity work and team socials.
- Why this job: Shape impactful campaigns and work with cutting-edge data tools in a dynamic environment.
- Qualifications: Experience in data analysis, storytelling, and familiarity with tools like Python and SQL.
The predicted salary is between 50000 - 60000 £ per year.
Kaizen Search Marketing is a forward-thinking digital marketing agency specialising in SEO, Digital PR, and Social Media.
Job Summary
You will be responsible for developing data-led campaigns across a range of industries, using your expertise in research methodologies, data sourcing, analysis and storytelling to create compelling narratives that journalists want to cover.
You will have an expansive knowledge of data sources, from government datasets and public records to APIs, scraping tools and emerging AI-powered research methods. You will use these skills to uncover unique insights, challenge campaign briefs and identify opportunities that elevate ideas from good to genuinely newsworthy.
Working closely with our PR, Creative and Client teams, you will play a key role in shaping campaign concepts, ensuring our data methodologies are robust, creative and capable of generating high‑quality media coverage for our clients.
Key Responsibilities
Data Research & Campaign Development
- Lead the research and data development process for Digital PR campaigns, turning client objectives into compelling data-led stories
- Work closely with PR teams during ideation to identify opportunities where data can strengthen, challenge or transform creative concepts
- Challenge campaign briefs and methodologies to ensure we are creating the strongest possible story for the media
- Identify unique angles, trends and narratives hidden within datasets to create campaigns with genuine news value
- Build robust research methodologies that can withstand journalist scrutiny and deliver credible insights
Data Sourcing & Analysis
- Source, clean, analyse and interpret large datasets to uncover meaningful insights
- Explore creative approaches to data collection, including scraping, automation and alternative research methods
Technical Data Skills & Innovation
- Use tools such as Python, SQL, APIs, scraping tools and automation platforms to improve the efficiency and scalability of data collection and analysis
- Explore emerging AI tools and workflows to enhance research processes, identify trends and accelerate campaign development
- Stay ahead of developments in data, AI and research methodologies to bring innovative approaches into our campaigns
PR Storytelling & Media Understanding
- Apply a strong understanding of news values to ensure data insights translate into compelling media stories
- Understand what makes journalists engage with data stories and advise teams on how to position findings effectively
- Support the creation of campaign narratives, supporting statistics and media materials
- Monitor industry trends and news cycles to identify opportunities for reactive and proactive data campaigns
- Provide guidance and training to the wider PR team on data sourcing, methodology and research best practice
- Share new data sources, tools and techniques to continuously improve Kaizen’s data capabilities
Quality & Delivery
- Deliver accurate, high‑quality research projects within agreed deadlines
Skills & Experience
- Experience working in a data, research, insights, analytics or data journalism role
- Strong understanding of how to source, analyse and interpret data to uncover stories and insights
- Experience working with datasets, research methodologies and statistical analysis
- Excellent understanding of what makes a strong PR story or newsworthy insight
- Strong attention to detail with a focus on accuracy and methodology
- Experience using data tools such as Excel/Google Sheets, SQL, Python, APIs or scraping tools
- Experience working within Digital PR, content marketing, journalism or a creative agency environment
- Experience creating data-led campaigns that have achieved media coverage
- Experience using AI tools to improve research workflows
- Knowledge of SEO, search trends and how content performs online
- Experience presenting insights and recommendations to clients or internal stakeholders
Personal Specification
- Able to commute to our London office 2 days a week
- Creative thinker with the ability to think on your feet
- Strong understanding of the news and latest trends
- Team player who is motivated by working with others and a strong communicator
- High attention to detail and pride in your output – your work will be visible to thousands of people
- Experience in a PR or digital role will be a bonus but is not essential
- Organised with the ability to manage multiple stakeholders and projects simultaneously
- 30 days holiday + Bank Holidays
- Work from anywhere – from your home, our London office, a co-working space or up to 6 months abroad
- Cycle to Work Scheme – through salary sacrifice, you choose a bike and the rental cost comes out of your salary each month
- Team socials throughout the year
- Charity volunteer days – 3 days a year to work for a charity of your choice
- Childcare Scheme – to help cover childcare costs through salary sacrifice
- A clear personal development plan to help you progress in your chosen pathway
Data Insights Lead employer: Kaizen Search Limited
Kaizen Search Marketing is an exceptional employer that fosters a dynamic and innovative work culture, perfect for those passionate about data-driven storytelling in the digital marketing realm. With a commitment to employee growth, the company offers a clear personal development plan, flexible working arrangements, and generous benefits such as 30 days of holiday, charity volunteer days, and a Cycle to Work Scheme. Located in London, employees enjoy the vibrant city life while collaborating with talented teams to create impactful campaigns that resonate with audiences and media alike.
StudySmarter Expert Advice🤫
We think this is how you could land Data Insights Lead
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Kaizen Search Limited!
✨Show Off Your Projects
Start building a public portfolio showcasing your data science projects on platforms like GitHub or personal websites. Highlight unique analyses or models you've developed. This not only demonstrates your skills but also gets your name out there for roles like Data Insights Lead at Kaizen Search Limited.
✨Leverage Professional Networks
Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Kaizen Search Limited.
✨Apply Directly through Our Website
When you find a suitable opening like Data Insights Lead at Kaizen Search Limited, make sure to apply directly through our website. It gives you an edge and shows you're keen to join our team. Plus, who doesn’t love a direct application? It’s easier than navigating through job boards!
We think you need these skills to ace Data Insights Lead
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
Quantify Your Achievements:Employers love numbers! When drafting your CV, highlight your achievements with quantifiable results. For instance, mention how your data analysis led to a certain percentage increase in efficiency or revenue at a previous job or project. These details can really make your application pop!
Craft a Tailored Cover Letter:For a full-time role at Kaizen Search Limited, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Kaizen Search Limited. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Kaizen Search Limited
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Kaizen Search Limited!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
