Digital Product Analyst – AI Products
Digital Product Analyst – AI Products

Digital Product Analyst – AI Products

Bournemouth Full-Time 36000 - 60000 £ / year (est.) Home office (partial)
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At a Glance

  • Tasks: Analyse AI product performance and user engagement to drive innovation.
  • Company: Join J.P. Morgan, a global leader in financial services with a commitment to diversity.
  • Benefits: Enjoy a collaborative work environment with opportunities for professional growth and development.
  • Why this job: Be part of a dynamic team shaping the future of AI products and enhancing user experiences.
  • Qualifications: Bachelor’s degree in Data Science or related field; experience in AI-driven roles required.
  • Other info: Work with cutting-edge technologies and contribute to impactful projects in a fast-paced setting.

The predicted salary is between 36000 - 60000 £ per year.

Job Description

As a Digital Product Analyst within the Agentic AI Platform team, you will conduct in-depth analysis of AI product performance, user engagement, and market trends. You will utilize data-promoted insights to identify opportunities for product enhancement and innovation, develop detailed reports for stakeholders, and collaborate with cross-functional teams to integrate AI insights into product development. You will also communicate strategic recommendations to promote improvements and contribute to continuous improvement initiatives.

Job Responsibilities

  • AI Product Analysis: Conduct in-depth analysis of AI product performance, user engagement, and market trends. Utilize data-driven insights to identify opportunities for product enhancement and innovation within the Agentic AI Platform for Employee Experience.
  • Data-Driven Insights: Develop and present detailed reports that provide actionable insights to stakeholders, enabling informed decision-making and strategic planning for AI-driven product development.
  • Cross-Functional Collaboration: Work closely with product managers, engineers, data scientists, and UX designers to integrate AI insights into product development and enhancement processes. Support the team in making data-driven decisions to improve the Agentic AI Platform.
  • Stakeholder Communication: Effectively communicate data insights and strategic recommendations to various stakeholders, including product leadership, to drive strategic initiatives and improvements.
  • Continuous Improvement Initiatives: Identify opportunities for process optimization and contribute to the development of strategies that enhance AI product effectiveness and user experience.
  • Advanced Tool Utilization: Utilize advanced data analysis tools such as Python, R, Tableau, and other relevant technologies to extract, manipulate, and visualize data. Ensure the effective use of these tools to support data-driven decision-making.
  • AI Model Evaluation: Collaborate with data scientists to evaluate AI models and algorithms, ensuring they meet user needs and business objectives. Recommend improvements based on product metrics, user feedback, and business goals.
  • User Interaction Analysis: Analyze user interaction with AI features, gather feedback, and work with product teams to incorporate improvements. Influence strategy, product ideation, and drive experimentation based on user behavior and product usage data.

Required Qualifications

  • Bachelor’s degree in Data Science, Computer Science, Business Analytics, or a related field.
  • Experience in a corporate role as a Data Scientist, Data Analyst, AI Product Analyst, or similar role with a focus on AI-driven products.
  • Proven track record of working with AI technologies and machine learning algorithms, including experience in deploying and evaluating AI models.
  • Strong proficiency in programming languages such as Python, R, and experience with libraries like Scikit-Learn, TensorFlow, or PyTorch.
  • Experience in data manipulation, data visualization, and statistical analysis.
  • Demonstrated ability to stay up-to-date with the latest AI advancements and integrate those insights into product planning.
  • Experience in the technology sector, particularly in AI-driven product development and optimization.
  • Excellent communication skills, both written and verbal, with the ability to convey complex data insights to stakeholders with varying levels of technical knowledge.
  • Strong problem-solving skills, attention to detail, and ability to work collaboratively in a fast-paced, dynamic environment.
  • Integrity, responsibility, and professionalism in working with different stakeholders.

Preferred Qualifications

  • Strong analytical skills with the ability to interpret complex data sets and generate actionable insights.
  • Proficiency in advanced data analysis tools such as Python, Pandas, NumPy, R, Tableau, and SQL.
  • Experience with AI technologies and machine learning algorithms, including NLP, neural networks, and LLM.
  • Excellent communication skills, both written and verbal, to convey data insights to stakeholders with varying levels of technical knowledge.
  • Ability to work collaboratively in a cross-functional team environment.
  • Strong problem-solving skills and attention to detail.
  • Proven experience in AI-driven product development and optimization.

About Us

J.P. Morgan is a global leader in financial services, providing strategic advice and products to the world’s most prominent corporations, governments, wealthy individuals and institutional investors. Our first-class business in a first-class way approach to serving clients drives everything we do. We strive to build trusted, long-term partnerships to help our clients achieve their business objectives.

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants’ and employees’ religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

About The Team

Our professionals in our Corporate Functions cover a diverse range of areas from finance and risk to human resources and marketing. Our corporate teams are an essential part of our company, ensuring that we’re setting our businesses, clients, customers and employees up for success. #J-18808-Ljbffr

Digital Product Analyst – AI Products employer: JPMorganChase

At J.P. Morgan, we pride ourselves on being an exceptional employer, offering a dynamic work culture that fosters innovation and collaboration within our Corporate Functions team. As a Digital Product Analyst in the vibrant city of London, you will have access to cutting-edge tools and technologies, alongside ample opportunities for professional growth and development, all while contributing to meaningful projects that shape the future of AI-driven products. Our commitment to diversity and inclusion ensures that every voice is heard, making it a truly rewarding place to advance your career.
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Contact Detail:

JPMorganChase Recruiting Team

StudySmarter Expert Advice 🤫

We think this is how you could land Digital Product Analyst – AI Products

Tip Number 1

Familiarise yourself with the latest AI technologies and trends. Being knowledgeable about current advancements in AI will not only help you during interviews but also demonstrate your passion for the field.

Tip Number 2

Network with professionals in the AI and data analysis sectors. Attend industry events, webinars, or online forums to connect with others who can provide insights or even refer you to opportunities at StudySmarter.

Tip Number 3

Prepare to discuss specific projects where you've used data analysis tools like Python or Tableau. Be ready to explain how your insights led to product improvements or strategic decisions, as this will showcase your practical experience.

Tip Number 4

Practice your communication skills by explaining complex data insights to a non-technical audience. This will be crucial when presenting to stakeholders, and it shows that you can bridge the gap between technical and non-technical teams.

We think you need these skills to ace Digital Product Analyst – AI Products

Data Analysis
AI Product Analysis
User Engagement Analysis
Market Trend Analysis
Data-Driven Insights
Cross-Functional Collaboration
Stakeholder Communication
Continuous Improvement Initiatives
Advanced Tool Utilization
Python Programming
R Programming
Data Manipulation
Data Visualization
Statistical Analysis
Machine Learning Algorithms
NLP
Neural Networks
LLM
Problem-Solving Skills
Attention to Detail
Excellent Verbal and Written Communication

Some tips for your application 🫡

Tailor Your CV: Make sure your CV highlights relevant experience in data analysis, AI technologies, and product development. Use keywords from the job description to demonstrate that you meet the qualifications.

Craft a Compelling Cover Letter: In your cover letter, explain why you're passionate about AI products and how your skills align with the role. Mention specific projects or experiences that showcase your analytical abilities and collaboration with cross-functional teams.

Showcase Technical Skills: Clearly list your proficiency in programming languages like Python and R, as well as any experience with data analysis tools such as Tableau. Provide examples of how you've used these skills in previous roles to drive product improvements.

Prepare for Potential Assessments: Be ready to discuss your analytical approach and problem-solving skills during the interview process. You may be asked to analyse a dataset or present insights, so practice articulating your thought process clearly.

How to prepare for a job interview at JPMorganChase

Showcase Your Analytical Skills

Be prepared to discuss your experience with data analysis and how you've used insights to drive product improvements. Bring examples of reports or analyses you've conducted that led to actionable outcomes.

Familiarise Yourself with AI Technologies

Since the role focuses on AI products, brush up on the latest advancements in AI and machine learning. Be ready to discuss specific technologies you've worked with, such as Python, R, or any relevant libraries.

Demonstrate Cross-Functional Collaboration

Highlight your experience working with diverse teams, including product managers and engineers. Share examples of how you’ve successfully collaborated to integrate insights into product development.

Prepare for Stakeholder Communication

Practice explaining complex data insights in simple terms. You may be asked to present findings or recommendations, so think about how you can convey your ideas clearly to stakeholders with varying levels of technical knowledge.

Digital Product Analyst – AI Products
JPMorganChase
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  • Digital Product Analyst – AI Products

    Bournemouth
    Full-Time
    36000 - 60000 £ / year (est.)

    Application deadline: 2027-08-20

  • J

    JPMorganChase

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