At a Glance
- Tasks: Transform data into actionable insights and build innovative data products.
- Company: Join J.P. Morgan, a global leader in financial services.
- Benefits: Competitive salary, diverse work culture, and opportunities for career growth.
- Other info: Collaborative environment with a focus on innovation and diversity.
- Why this job: Make a real impact by shaping the future of financial analysis.
- Qualifications: Experience in data modelling, SQL, and Python required.
The predicted salary is between 60000 - 80000 £ per year.
Overview
hackajob is collaborating with J.P. Morgan to connect them with exceptional professionals for this role.
Are you passionate about transforming data into actionable insights? Join our Transformation & Innovation team, where you'll help shape the future of financial analysis at JPMorganChase. You'll have the opportunity to grow your career, collaborate with talented colleagues, and make a real impact by building data products that empower our Planning & Analysis community. We value your curiosity, creativity, and drive to deliver solutions that make data accessible and meaningful.
As a Planning and Analysis Data Modeler – Senior Associate within the Corporate Financial Analysis team, you will design and implement end-to-end data models that enhance accessibility and understanding for a diverse range of users. You will work closely with finance, analytics, and technology teams to build and refine data models, making information easier to use and standardizing data across the organization. Your role is central to improving data pipelines and supporting innovation, helping us deliver high-quality solutions that drive business performance.
Responsibilities
- Design, develop, test, and refine data models and analytic prototypes
- Solve complex data challenges at the intersection of finance and technology
- Support the development of cloud-based data lakehouse solutions for Planning & Analysis
- Guide and support data consumers in leveraging data products for analytics and planning
- Utilize AI-assisted coding tools to accelerate development and optimize SQL
- Identify opportunities to embed AI into Planning & Analysis workflows
- Work with diverse data sets to support various Planning & Analysis processes
- Collaborate with senior team members on solution design
- Inspire innovation and champion change across teams within JPMorganChase
Required Qualifications, Capabilities, And Skills
- Strong analytical and problem-solving skills with attention to detail
- Hands-on experience building and prototyping data models to address user needs
- Proficient in SQL and Python for data analysis, engineering, and transformation
- Relevant experience developing, testing, and refining data models using dimensional and relational approaches
- Curious mindset with a drive for continuous improvement
- Familiarity with prompt engineering principles and LLM-based tools
- Effective communication skills to present data findings and support users
- Experience with ETL/ELT processes and architecture in data pipelines
- Experience building models for dashboard or cube consumption
- Familiarity with cloud-based data lake platforms such as AWS, Azure, or Google Cloud
- Bachelor’s degree in computer science, data science, information systems, business analytics, or related discipline
Preferred Qualifications, Capabilities, And Skills
- Experience with Databricks and notebook-based development
- Experience working with financial and workforce datasets
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.
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.
Planning and Analysis Data Modeler â Senior Associate employer: hackajob
At J.P. Morgan, we pride ourselves on being an exceptional employer that fosters a culture of innovation and collaboration. As a Senior Associate in Planning and Analysis Data Modeling, you will not only have the chance to work with cutting-edge technology and diverse data sets but also enjoy ample opportunities for professional growth within a supportive environment that values your contributions. Our commitment to diversity and inclusion ensures that every voice is heard, making J.P. Morgan a truly rewarding place to advance your career in financial services.
StudySmarter Expert Advice🤫
We think this is how you could land Planning and Analysis Data Modeler â Senior Associate
✨Tip Number 1
Network like a pro! Reach out to current or former employees at J.P. Morgan on LinkedIn. A friendly chat can give us insider info about the company culture and maybe even a referral!
✨Tip Number 2
Prepare for those interviews by practising common questions related to data modelling and analytics. We can even role-play with friends to boost our confidence and refine our answers.
✨Tip Number 3
Showcase your skills! Create a portfolio of your data models and projects. This visual evidence of your work can really impress interviewers and set us apart from the competition.
✨Tip Number 4
Don’t forget to apply through our website! It’s the best way to ensure your application gets noticed. Plus, we can track our progress and stay updated on any new opportunities.
We think you need these skills to ace Planning and Analysis Data Modeler â Senior Associate
Some tips for your application 🫡
Tailor Your Application:Make sure to customise your CV and cover letter for the Planning and Analysis Data Modeler role. Highlight your experience with data models, SQL, and any relevant projects that showcase your analytical skills. We want to see how you can bring your unique flair to our team!
Showcase Your Problem-Solving Skills:In your application, don’t just list your skills—tell us about specific challenges you've tackled in the past. We love candidates who can demonstrate their analytical prowess and creativity in solving complex data issues. Share those success stories!
Be Clear and Concise:When writing your application, clarity is key! Use straightforward language and avoid jargon unless it’s relevant. We appreciate a well-structured application that gets straight to the point while still showcasing your personality.
Apply Through Our Website:We encourage you to apply directly through our website. It’s the best way to ensure your application gets into the right hands. Plus, you’ll find all the details you need about the role and our company culture there!
How to prepare for a job interview at hackajob
✨Know Your Data Models
Before the interview, brush up on your knowledge of data models, especially those relevant to finance and analytics. Be ready to discuss your hands-on experience with building and prototyping data models, as this will show your practical skills and understanding of user needs.
✨Showcase Your Problem-Solving Skills
Prepare to share specific examples of how you've solved complex data challenges in the past. Highlight your analytical skills and attention to detail, as these are crucial for the role. Use the STAR method (Situation, Task, Action, Result) to structure your responses.
✨Familiarise Yourself with AI Tools
Since the role involves leveraging AI-assisted coding tools, make sure you understand how these can optimise SQL and enhance data workflows. Be ready to discuss any experience you have with prompt engineering principles or LLM-based tools, as this will demonstrate your forward-thinking approach.
✨Communicate Effectively
Effective communication is key in this role. Practice explaining complex data findings in a clear and concise manner. Think about how you would support users in leveraging data products for analytics and planning, and be prepared to showcase your ability to inspire innovation and champion change.
