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Quant Analytics Associate -SQL, SAS, Alteryx

at J.P. Morgan

Back to all Databases jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Quant Analytics Associate -SQL, SAS, Alteryx

at J.P. Morgan

Mid LevelNo visa sponsorshipSQL/No-SQL Databases

Posted 15 hours ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Bengaluru
Country
India

Quant Analytics Associate on the Card Data & Analytics team responsible for translating customer data into actionable insights to optimize card rewards and marketing strategies. You will analyze customer performance, segmentation, targeting, and drive end-to-end analytics for campaign strategies while partnering with product, finance, and marketing teams. The role requires building analytical datasets using SQL, SAS or Alteryx and presenting findings via Tableau/Excel to stakeholders and senior leadership. Approximately five years of quantitative analytics experience in financial products and experience with big data platforms and automation frameworks is expected.

Location: Bengaluru, Karnataka, India

Join us to shape the future of card rewards through impactful analytics and career growth opportunities.

As a Quant Analytics Associate within the
Card Data & Analytics team, you translate customer data into insights that influence rewards and marketing strategies. You collaborate with diverse teams to deliver analytics projects that support business objectives and enhance customer experience.

Job responsibilities

  • Analyze customer performance, segmentation, and targeting to optimize rewards strategies
  • Collaborate with product and finance teams to deliver analytical agendas
  • Drive end-to-end analytics for campaign strategies, including performance measurement and ad hoc analysis
  • Partner with marketing managers to optimize campaigns and develop new strategies
  • Provide timely analytics for key trends by analyzing large datasets
  • Synthesize data into actionable insights for business and marketing strategies
  • Deliver practical data insights to senior leadership through presentations and visualizations
  • Required qualifications, capabilities, and skills

  • Bachelor’s degree in a quantitative discipline such as business, data science, finance, economics, engineering, or mathematics
  • Five years of experience in quantitative analytics for financial products
  • Five years of experience querying big data platforms and analyzing data with visualization tools
  • Strong verbal and written communication skills
  • Proficient in creating analytical datasets using SQL, SAS, or Alteryx
  • Skilled in generating analytical insights using Tableau or Excel
  • Experience designing and coding automation frameworks
  • Proficient in critical thinking and problem solving
  • Preferred qualifications, capabilities, and skills

  • Financial services background with exposure to marketing or strategic analytics
  • Ability to tell a story through data and generate insights for stakeholders
  • Intellectually curious and eager to become a subject matter expert
  • Strategic thinker focused on business goals and objectives
  • Transform customer data into actionable insights to optimize card rewards and drive marketing strategies.

    Quant Analytics Associate -SQL, SAS, Alteryx

    at J.P. Morgan

    Back to all Databases jobs
    J.P. Morgan logo
    Bulge Bracket Investment Banks

    Quant Analytics Associate -SQL, SAS, Alteryx

    at J.P. Morgan

    Mid LevelNo visa sponsorshipSQL/No-SQL Databases

    Posted 15 hours ago

    No clicks

    Compensation
    Not specified

    Currency: Not specified

    City
    Bengaluru
    Country
    India

    Quant Analytics Associate on the Card Data & Analytics team responsible for translating customer data into actionable insights to optimize card rewards and marketing strategies. You will analyze customer performance, segmentation, targeting, and drive end-to-end analytics for campaign strategies while partnering with product, finance, and marketing teams. The role requires building analytical datasets using SQL, SAS or Alteryx and presenting findings via Tableau/Excel to stakeholders and senior leadership. Approximately five years of quantitative analytics experience in financial products and experience with big data platforms and automation frameworks is expected.

    Location: Bengaluru, Karnataka, India

    Join us to shape the future of card rewards through impactful analytics and career growth opportunities.

    As a Quant Analytics Associate within the
    Card Data & Analytics team, you translate customer data into insights that influence rewards and marketing strategies. You collaborate with diverse teams to deliver analytics projects that support business objectives and enhance customer experience.

    Job responsibilities

  • Analyze customer performance, segmentation, and targeting to optimize rewards strategies
  • Collaborate with product and finance teams to deliver analytical agendas
  • Drive end-to-end analytics for campaign strategies, including performance measurement and ad hoc analysis
  • Partner with marketing managers to optimize campaigns and develop new strategies
  • Provide timely analytics for key trends by analyzing large datasets
  • Synthesize data into actionable insights for business and marketing strategies
  • Deliver practical data insights to senior leadership through presentations and visualizations
  • Required qualifications, capabilities, and skills

  • Bachelor’s degree in a quantitative discipline such as business, data science, finance, economics, engineering, or mathematics
  • Five years of experience in quantitative analytics for financial products
  • Five years of experience querying big data platforms and analyzing data with visualization tools
  • Strong verbal and written communication skills
  • Proficient in creating analytical datasets using SQL, SAS, or Alteryx
  • Skilled in generating analytical insights using Tableau or Excel
  • Experience designing and coding automation frameworks
  • Proficient in critical thinking and problem solving
  • Preferred qualifications, capabilities, and skills

  • Financial services background with exposure to marketing or strategic analytics
  • Ability to tell a story through data and generate insights for stakeholders
  • Intellectually curious and eager to become a subject matter expert
  • Strategic thinker focused on business goals and objectives
  • Transform customer data into actionable insights to optimize card rewards and drive marketing strategies.