At a Glance
- Tasks: Lead the design and development of a cutting-edge reporting function.
- Company: Join a forward-thinking company aiming to be a global leader in product reporting.
- Benefits: Enjoy remote work flexibility and competitive salary with great perks.
- Why this job: Be part of an innovative team that values collaboration and customer impact.
- Qualifications: Bachelor's degree and 3+ years as a Product Manager with strong data skills required.
- Other info: Opportunity to explore AI-driven insights and enhance your analytical expertise.
The predicted salary is between 48000 - 72000 £ per year.
This role is an exceptional opportunity for a Technical Product Manager who has experience within reporting/databases. The established product team require this new role to complete the overall service offering to users; which is to scope, design, build and test the reporting function. Working closely with clients, internal stakeholders, technical and management teams, you will play a key part in enabling this product to operate as a true global leader.
Responsibilities:
- Roadmap Development, Data Strategy, Prioritisation, Team work & Collaboration across the business
- Contribute to the development and maintenance of a detailed product roadmap
- Gather and analyse feedback from customers, stakeholders, and market research to refine the reporting product roadmap
- Use internal analytics to drive decisions on feature enhancements and roadmap priorities
- Work with engineering and data teams to ensure accurate data collection, storage, and retrieval for reporting
- Understand data privacy regulations (e.g., GDPR) and ensure reporting tools comply with relevant legal requirements
- Explore opportunities for AI-driven insights, predictive analytics, and automated report generation
- Help stakeholders define and refine requirements
- Central point of contact for stakeholders and the development teams
- Assist with user adoption and reporting of successes
Qualifications:
- Bachelor's degree in Computer Science, Engineering or Business (or related field)
- 3+ years as a Product Manager experience
- Strong experience in data/reporting and of building a reporting dashboard / related features from 0-1
- Strong analytical skills with a data-driven approach to decision-making
- Experience using Power BI or other analytics tools
- Passion for building products that solve real customer problems and drive business value
Technical Product Manager (Reporting) £60-65K remote employer: Grace May
Contact Detail:
Grace May Recruiting Team
StudySmarter Expert Advice 🤫
We think this is how you could land Technical Product Manager (Reporting) £60-65K remote
✨Tip Number 1
Familiarise yourself with the latest trends in reporting and analytics tools, especially Power BI. Being well-versed in these technologies will not only boost your confidence during discussions but also demonstrate your commitment to staying current in the field.
✨Tip Number 2
Network with professionals in the product management and data analytics space. Attend relevant webinars or local meetups to connect with others who might provide insights or even referrals for the role at StudySmarter.
✨Tip Number 3
Prepare to discuss specific examples of how you've successfully gathered and analysed customer feedback in previous roles. Highlighting your experience in refining product roadmaps based on real user data will set you apart from other candidates.
✨Tip Number 4
Brush up on your knowledge of data privacy regulations like GDPR. Being able to speak confidently about compliance will show that you understand the legal landscape surrounding data reporting, which is crucial for this role.
We think you need these skills to ace Technical Product Manager (Reporting) £60-65K remote
Some tips for your application 🫡
Tailor Your CV: Make sure your CV highlights your experience in product management, particularly in reporting and databases. Emphasise any relevant projects where you've developed or enhanced reporting functions.
Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about the role and how your skills align with the responsibilities outlined in the job description. Mention specific experiences that demonstrate your ability to gather and analyse feedback, as well as your understanding of data privacy regulations.
Showcase Analytical Skills: Provide examples in your application that showcase your strong analytical skills and data-driven decision-making. Highlight any experience you have with tools like Power BI or similar analytics platforms.
Highlight Collaboration Experience: Since teamwork and collaboration are key aspects of this role, include examples of how you've successfully worked with cross-functional teams in the past. This could involve working with engineering, data teams, or stakeholders to achieve common goals.
How to prepare for a job interview at Grace May
✨Showcase Your Technical Knowledge
Make sure to highlight your experience with reporting and databases during the interview. Be prepared to discuss specific projects where you built reporting dashboards or features from scratch, as this will demonstrate your technical expertise and understanding of the role.
✨Understand Data Privacy Regulations
Familiarise yourself with data privacy regulations such as GDPR before the interview. Being able to discuss how you ensure compliance in reporting tools will show that you are not only technically proficient but also aware of the legal implications of data handling.
✨Prepare for Collaboration Questions
Since teamwork and collaboration are key aspects of this role, think of examples where you've successfully worked with cross-functional teams. Be ready to explain how you gathered feedback from stakeholders and how you prioritised their needs in product development.
✨Demonstrate Your Analytical Skills
Be prepared to discuss how you use data analytics to drive decisions. Bring examples of how you've used tools like Power BI to analyse data and make informed choices about product features. This will showcase your data-driven approach and analytical mindset.