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- 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 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 analytical skills and how they contributed to business growth.
✨Tip Number 3
Network with current or former employees of StudySmarter on platforms like LinkedIn. Engaging with them can provide valuable insights about the company culture and expectations, which can be beneficial during interviews.
✨Tip Number 4
Stay updated on industry trends related to data analytics and cloud platforms. Being knowledgeable about the latest advancements can help you demonstrate your passion for the field and your commitment to continuous learning.
We think you need these skills to ace Staff Product Analyst
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your relevant experience in data analysis, particularly focusing on your proficiency in SQL and any experience with Python or R. Emphasise your ability to create visualisations and automate reporting workflows.
Craft a Compelling Cover Letter: In your cover letter, express your passion for data-driven decision-making and how your skills align with the company's goals. Mention specific examples of how you've transformed complex data into actionable insights in previous roles.
Showcase Your Technical Skills: Clearly outline your technical skills related to ELT data modelling and any tools you have used, such as Hashboard, Looker, or Omni. Providing concrete examples of projects where you utilised these skills can strengthen your application.
Highlight Collaboration Experience: Since the role involves working across teams, include examples of past collaborations in your application. Describe how you’ve worked with product, business, or leadership teams to deliver data-driven solutions and improve workflows.
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've worked with complex datasets and how you used them to drive insights.
✨Prepare for Scenario-Based Questions
Expect questions that ask you to solve real-world problems using data. Think about how you would develop key business metrics or create visualisations to support decision-making, and be ready to explain your thought process.
✨Demonstrate Collaboration Experience
Since the role involves working across teams, be ready to share examples of how you've successfully collaborated with product, business, or leadership teams in the past. Highlight your communication skills and ability to translate data into actionable insights.
✨Understand the Company’s Goals
Research the company’s mission and recent projects. Be prepared to discuss how your skills and experiences align with their goals, particularly in terms of driving strategy and optimising growth through data.
