At a Glance
- Tasks: Lead product development by translating data insights into actionable requirements.
- Company: Wiley Publishing, a leader in educational resources and innovation.
- Benefits: Competitive salary, remote work flexibility, and opportunities for professional growth.
- Other info: Join a dynamic team dedicated to enhancing educational experiences.
- Why this job: Shape the future of online learning with data-driven decisions and impactful products.
- Qualifications: Experience in Product Management and proficiency in data analytics tools like Power BI.
The predicted salary is between 40200 - 57533 £ per year.
Wiley Publishing is seeking a Product Manager for the Wiley Online Library.
This hybrid role focuses on defining business value and translating data insights into actionable product requirements.
Responsibilities include analyzing customer needs, ensuring operational efficiency, and overseeing features from development to delivery.
Candidates should have a strong background in Product Management and data analytics tools like Power BI.
The role offers a salary range of £40,200 to £57,533 in the UK. #J-18808-Ljbffr
Data & Analytics Product Manager (Remote) employer: Wiley Publishing
Wiley is an exceptional employer that champions innovation and diversity, offering a dynamic work culture where your ideas can flourish and make a real impact in the fields of science and education. With a strong commitment to employee growth, we provide ample opportunities for professional development, including meeting-free Friday afternoons for focused work and learning. Our comprehensive benefits package and transparent pay practices ensure that our team members are valued and supported in their pursuit of excellence.
StudySmarter Expert Advice🤫
We think this is how you could land Data & Analytics Product Manager (Remote)
✨Get Involved in Data Science Meetups
Tap into local data science meetups or workshops to connect with fellow enthusiasts and professionals. These events are goldmines for networking, and sometimes even lead directly to job openings at companies like Wiley Publishing!
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Join professional bodies related to data science, like the Data Science Society or similar organisations. Getting involved can lead to mentorship opportunities and insider knowledge about full-time positions at companies like Wiley Publishing.
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We think you need these skills to ace Data & Analytics Product Manager (Remote)
Some tips for your application 🫡
Show Off Your Projects:In the world of data science, your projects can speak volumes about your skills. Make sure to showcase a few key projects in your CV or portfolio, especially those that highlight your ability to work with data sets, build models, or use relevant tools like Python, R, or SQL. Don’t forget to include links to any GitHub repositories if applicable!
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Craft a Tailored Cover Letter:For a full-time role at Wiley Publishing, your cover letter should reflect your passion for data science and your excitement about the specific projects or values of the company. Dive into why you’re a good fit, how your skills align with their needs, and any unique perspectives you can bring to the team.
Stand Out with Relevant Courses and Certifications:Although experience talks, relevant courses or certifications can be your ticket to impressing hiring managers at Wiley Publishing. Mention any standout courses you've completed that equipped you with essential skills, such as machine learning certifications or data visualisation courses. This shows your commitment to continuously developing your skills in the field!
How to prepare for a job interview at Wiley Publishing
✨Brush Up on Your Statistics
For a data science role, we need to seriously sharpen our statistics skills. Get ready to tackle technical questions on probability distributions, hypothesis testing, and regression analysis. These are often the bread and butter of data science interviews, so don't just skim over them!
✨Showcase Your Projects
Prepare a killer portfolio showcasing your data science projects. We should include details about the datasets used, the tools and techniques applied, and the impact of your findings. If we can walk them through a particularly challenging project or a cool visualisation that had real-world implications, it’ll really make us stand out!
✨Get Comfortable with Python and R
Most data science positions require us to be proficient in programming languages like Python and R. We should practice common libraries like pandas, NumPy, and scikit-learn, and be ready for live coding exercises or algorithm questions. Showing off our coding chops can really impress the interviewers at Wiley Publishing!
✨Prepare for Case Studies
Expect to encounter real-world case studies during the interview. We might be asked how we’d approach a data problem or analyse a dataset to extract insights. It's essential to think out loud and demonstrate our problem-solving process so that the interviewer can see our logical thinking in action.
