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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 data roles; proficient in SQL, familiar with Python or R.
- Other info: Send your CV even if you don’t see a perfect fit; new roles are always opening.
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 solid understanding of these platforms can set you apart during discussions.
✨Tip Number 2
Prepare to discuss your previous projects where you've turned complex data into actionable insights. Be ready to share specific examples that highlight your ability to drive strategy and improve product performance.
✨Tip Number 3
Showcase your collaboration skills by thinking of instances where you've worked cross-functionally. This role requires teamwork, so having stories that demonstrate your ability to work with different teams will be beneficial.
✨Tip Number 4
Stay updated on industry trends and innovations in data analytics. Being knowledgeable about the latest advancements can help you engage in meaningful conversations during interviews and show 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 or improved product performance in previous roles to demonstrate your fit for the position.
Showcase Your Communication Skills: Since strong communication skills are essential for this role, consider including a section in your application that illustrates how you've successfully collaborated with cross-functional teams to deliver data-driven solutions.
Highlight Relevant Projects: If you have worked on projects involving dynamic visualisations or automated reporting workflows, be sure to include these in your application. Detail your contributions and the impact they had on decision-making processes.
How to prepare for a job interview at Harnham Ltd
✨Showcase Your Data Skills
Make sure to highlight your experience with SQL and any familiarity with Python or R. Be prepared to discuss specific projects where you transformed complex datasets into actionable insights, as this will demonstrate your technical proficiency.
✨Prepare for Collaboration Questions
Since the role involves working across teams, expect questions about your collaboration skills. Think of examples where you successfully worked with product, business, or leadership teams to deliver data-driven solutions.
✨Demonstrate Your Analytical Thinking
Be ready to explain how you develop and implement key business metrics. Discuss your approach to creating visualisations and automating reporting workflows, as this will show your ability to streamline processes and support decision-making.
✨Align with Company Goals
Research the company’s mission and values, and be prepared to discuss how your analytics roadmap can align with their organisational goals. This shows that you are not only focused on data but also understand its impact on the company's growth.
