BI Product Manager: Data Storytelling & Dashboards

JPMorgan Chase & Co.; Singapore; On-site; SGD 90,000 - 130,000; Full time

Job summary

JPMorganChase, within the International Consumer Bank, is seeking an Analytics Solutions Associate to transform how we develop data solutions and deliver value to the business, driving insights and smarter decision making.

You will collaborate closely with a team of full stack engineers and data domain architects to develop and model required data views, translating business needs into technical requirements for scalable BI solutions.

Qualifications

• Bachelor’s degree in Computer Science, Data Analytics, Accounting, Finance, or related discipline.
• Minimum 3+ years of analytics solutions experience for consumer banking products within banking or financial services.
• Strong SQL and data modelling skills.
• Proficient in BI tools such as Looker or Tableau.
• Commercial acumen in retail banking products (accounts, savings, credit cards, mortgage).

Responsibilities

• Partner with stakeholders to understand business needs and translate them into clear data requirements and scalable BI solutions.
• Own the storytelling narrative and design stakeholder-centric solutions including dashboard and self-serve analytics.
• Drive business-led logics and requirements in data model through partnership with Data Architects.
• Proactively identify and resolve data breaks and align product data with the general ledger.
• Ensure adherence to BI solutions governance processes at all times.

Skills

SQL

Data Modelling

BI Tools

Stakeholder Management

Analytics Visualization

Education

Bachelor’s degree in Computer Science, Data Analytics, Accounting, Finance, or a related discipline

Tools

Looker

Tableau

Job description

JPMorganChase, within the International Consumer Bank, is seeking an Analytics Solutions Associate to transform how we develop data solutions and deliver value to the business, driving insights and smarter decision making.

You will collaborate closely with a team of full stack engineers and data domain architects to develop and model required data views, translating business needs into technical requirements for scalable BI solutions.