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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 team environment with opportunities for growth and impactful projects.
- Why this job: Transform data into meaningful outcomes while collaborating across teams in a fast-paced setting.
- Qualifications: 6+ years in data roles, proficient in SQL, and familiar with Python or R.
- Other info: Send your CV even if you don’t see a perfect fit; new roles are always emerging.
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 analytics, and any specific tools mentioned in the job description, such as SQL, Python, or ELT data modeling.
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 turned complex data into actionable insights in previous roles.
Showcase Your Technical Skills: Clearly outline your proficiency in SQL and any experience with data visualization tools like Looker or Hashboard. If you have experience with Python or R, be sure to include that as well.
Highlight Collaboration Experience: Since the role involves working across teams, emphasise your ability to collaborate effectively in a fast-paced environment. Provide examples of past projects where teamwork led to successful outcomes.
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 used these skills to derive insights from complex datasets.
✨Prepare for Collaboration Questions
Since the role involves working across teams, think of examples that demonstrate your ability to collaborate effectively. Be ready to explain how you’ve worked with product, business, and leadership teams in the past.
✨Demonstrate Your Analytical Thinking
Be prepared to discuss how you develop and implement key business metrics. Think of instances where your analytical skills led to significant improvements in product performance or operational efficiency.
✨Familiarise Yourself with Visualisation Tools
As the role requires creating dynamic visualisations, brush up on tools like Looker or Hashboard. You might be asked to describe how you would approach building a dashboard or automating reporting workflows.
