Find a job 
Featured Companies 
Featured Universities 
For Companies At a Glance
- Tasks: Drive strategy and turn complex data into actionable insights for product performance.
- Company: Join a Series C cloud platform company known for innovation in modern technology.
- Benefits: Enjoy a dynamic work environment with opportunities for growth and collaboration.
- Why this job: Make a lasting impact by transforming data into meaningful outcomes on high-impact projects.
- Qualifications: 6+ years in a data-focused role; proficient in SQL and familiar with Python or R.
- Other info: Send your CV even if you don’t see the perfect role – new opportunities arise frequently.
The predicted salary is between 48000 - 72000 £ per year.
Join a rapidly growing, Series C cloud platform company recognized for innovation and leadership in modern technology. This high-impact role offers the opportunity to drive strategy, shape growth, and turn complex data into actionable insights that improve product performance and streamline operational efficiency.
About the Role
The Staff Data Analyst will play a key role in defining critical business metrics, creating scalable visualizations, and automating reporting systems. The position involves collaborating across teams to uncover insights, streamline processes, and optimize data usage to support growth.
Key Responsibilities
- Develop and implement key business metrics to measure performance and identify opportunities.
- Create dynamic visualizations and automate reporting workflows to support decision-making.
- Build and enhance analytics datasets to optimize growth strategies and reduce costs.
- Collaborate with product, business, and leadership teams to deliver data-driven solutions.
- Prototype dashboards and data tools to improve workflows and promote best practices.
- Support data accessibility by maintaining analytical technologies that ensure timely access to data.
- Shape the analytics roadmap, aligning data initiatives with organizational goals.
About You
- 6+ years of experience in a data-focused role such as Data Analyst, Product Analyst, or Business Analyst.
- Proficient in SQL and experienced in working with complex datasets.
- Familiarity with Python or R and applied statistics.
- Expertise in ELT data modeling and tools like Hashboard, Looker, or Omni.
- Strong communication skills with the ability to translate data into actionable insights.
- Adept at collaborating in a fast-paced, cross-functional environment.
This is an opportunity to join a dynamic team where data is at the core of driving decisions and innovation. If you’re passionate about transforming data into meaningful outcomes and enjoy working on high-impact projects, this role offers the chance to make a lasting contribution.
If you can’t see what you’re looking for right now, send us your CV anyway – we’re always getting fresh new roles through the door.
Staff Product Analyst employer: Harnham Ltd
Contact Detail:
Harnham Ltd Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Staff Product Analyst
✨Tip Number 1
Familiarise yourself with the specific tools mentioned in the job description, like Hashboard, Looker, or Omni. Having hands-on experience or even a basic understanding of these platforms can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous experiences where you've successfully turned complex data into actionable insights. Be ready to share specific examples that highlight your analytical skills and how they contributed to business growth.
✨Tip Number 3
Showcase your collaboration skills by thinking of instances where you've worked cross-functionally. This role requires teamwork, so be prepared to explain how you’ve effectively communicated and collaborated with different teams in the past.
✨Tip Number 4
Stay updated on industry trends and innovations in data analytics. Being knowledgeable about the latest developments can help you engage in meaningful conversations during interviews and demonstrate your passion for the field.
We think you need these skills to ace Staff Product Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, product analysis, or business analysis. Emphasise your proficiency in SQL and any experience with Python or R, as well as your familiarity with ELT data modelling tools.
Craft a Compelling Cover Letter: In your cover letter, express your passion for transforming data into actionable insights. Mention specific examples of how you've driven strategy and improved product performance in previous roles.
Showcase Your Technical Skills: Clearly outline your technical skills related to data visualisation and reporting automation. If you have experience with tools like Hashboard, Looker, or Omni, make sure to include that information.
Highlight Collaboration Experience: Since the role involves working across teams, provide examples of past collaborations. Describe how you’ve worked with product, business, or leadership teams to deliver data-driven solutions.
How to prepare for a job interview at Harnham Ltd
✨Showcase Your Data Skills
Make sure to highlight your proficiency in SQL and any experience you have with Python or R. Be prepared to discuss specific projects where you've worked with complex datasets and how you used them to drive insights.
✨Prepare for Collaboration Questions
Since the role involves working across teams, think of examples that demonstrate your ability to collaborate effectively. Be ready to share how you've partnered with product, business, or leadership teams to deliver data-driven solutions.
✨Demonstrate Your Analytical Thinking
Be prepared to discuss how you develop and implement key business metrics. Think about how you've previously identified opportunities for growth through data analysis and be ready to explain your thought process.
✨Familiarise Yourself with Visualisation Tools
As the role requires creating dynamic visualisations, brush up on tools like Looker or Hashboard. Be ready to discuss any dashboards or reporting workflows you've built and how they supported decision-making.
