Job Description :

Be part of a dynamic team where your distinctive skills will contribute to a winning culture and team.

As an Analytics Solutions Associate at JPMorganChase within the International Consumer Bank, you will be part of Chase Product Domain, focused on transforming how we develop data solutions and deliver value to business, driving insights and smarter decision making. You will collaborate closely with a dedicated team of full stack engineers and data domain architects to develop and model required data views.

Job 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, drive root cause between product data and general ledger
Ensure adherence to BI solutions governance processes at all times

Required qualifications, capabilities, and skills

Bachelor's degree in Computer Science, Data Analytics, Accounting, Finance, or a related discipline
Minimum 3+ years of formal training or direct experience driving analytics solutions for consumer banking products within banking or financial services
Strong SQL and data modelling skills, with proven ability to build scalable solutions
Demonstrated proficiency in BI tools such as Looker or Tableau
Commercial acumen and expertise in retail banking products including current accounts, savings, credit cards, insurance and mortgages
Ability to translate business needs into technical requirements and influence stakeholders to ensure scalable, sustainable solutions
Proven self-starter who proactively identifies gaps, challenges requirements, and drives high high-quality delivery
Advanced data analytics and data visualization skills, with a sharp UX / UI sensibility
Innovation-oriented with ability to drive new approaches to data storytelling, design, and technology
Agile and adaptable to change and ability to drive fast-paced, iterative delivery

Preferred qualifications, capabilities, and skills

Good understanding of data governance and privacy concepts
Familiarity with Python and advanced data science concepts

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