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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, such as 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 your experience in data-focused roles, particularly as a Data Analyst or Product Analyst. Emphasise your proficiency in SQL and any experience with Python or R, as well as your familiarity with ELT data modelling.
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 to demonstrate your fit for the position.
Showcase Relevant Projects: If you have worked on projects involving dynamic visualisations or automated reporting workflows, be sure to include these in your application. Highlight how these projects contributed to decision-making and optimised growth strategies.
Highlight Collaboration Skills: Since the role involves collaborating across teams, mention any experiences where you successfully worked with cross-functional teams. This will show your ability to communicate effectively and deliver data-driven solutions in a fast-paced environment.
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 Scenario-Based Questions
Expect questions that ask how you would approach developing key business metrics or automating reporting workflows. Think of examples from your past work that demonstrate your problem-solving abilities in a data-focused role.
✨Emphasise Collaboration Experience
Since the role involves working across teams, be ready to share examples of how you've successfully collaborated with product, business, and leadership teams in the past. Highlight your communication skills and ability to translate data into actionable insights.
✨Demonstrate Your Passion for Data
Express your enthusiasm for transforming data into meaningful outcomes. Share why you are excited about the opportunity to work on high-impact projects and how you can contribute to the company's growth through data-driven solutions.
