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Analytics Solutions Associate Senior

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Analytics Solutions Associate Senior

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Columbus
Country
United States

Senior Analytics Solutions Associate on the HROCFO Analytics team leading end-to-end data analytics solutions to influence direction, mitigate risk, and optimize financial outcomes. Leverage data governance, predictive analytics, data science and machine learning to understand and predict customer and business behavior, set quantifiable goals, and implement strategies through experimentation. Partner with stakeholders to drive operational excellence, present insights via narratives and visualizations, and build automated solutions using modern data tools and APIs.

Location: Columbus, OH, United States

Job Description

If you are passionate about leveraging data analytics to drive strategic decisions, mitigate risk, and optimize financial outcomes, we want you to join our team.

As an Analytics Solutions Associate Sr. on the HROCFO Analytics team, you will lead end-to-end solutions leveraging data analytics to influence direction, mitigate risk, build partnerships and optimize financial outcome.  You will be a strategic contributor, play a key role supporting data-driven decisions with direct impact to financial bottom line and collaborate with partners to drive operational excellence. In this capacity, you will utilize data governance, predictive analytics, strategy development, data science and machine learning disciplines to understand and predict customer and business behavior, set quantifiable goals, identify opportunities and implement strategies through experimentation to enhance collections and recovery performance and effectively manage operational expenses for the organization.

 

Job Responsibilities

  • Demonstrate advanced data programming and robust analytical skills to efficiently collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and accuracy.
  • Become a subject matter expert and trusted partner to influence business direction and support operational success, advising on strategies with experimentation to support ongoing process improvement.
  • Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience.
  • Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.

 

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree in Computer Science, Engineering, Analytics or equivalent quantitative field with 4+ years of applied analytical experience, or Master’s/MBA degree with 2+ years of applied analytical experience in complex and large data environments.
  • Proven experience with programming languages (SQL, Python, Java Script), relational databases (Databricks), data wrangling ETL tools (Alteryx) and visualization tools (Tableau) to effectively collect, analyze, uncover and communicate meaningful patterns and insights.
  • Experience in API development, for building enterprise-scale applications. 
  • Strong ability to investigate and pursue solutions among extended partners and subject-matter-experts in the firm to advance progress towards automated solutions.     
  • Strategic thinking and effective communication defining clear strategy to support business goals, drive transformation and simplify complex techniques into actionable information to facilitate decision-making across diverse audiences.
  • Build business acumen and forge strong partnerships with clients and stakeholders, actively seek input to anticipate and address needs effectively, gain trust and drive learning and process improvements to accelerate business objectives.
  • Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals.
  • Proactively manage performance and work delivery expectations, set high-standards for self, act with sense of urgency and follow structured approach to manage multiple priorities and deliverables with high quality and error-free.
  • Willingly learn from experience, view challenges as opportunities, motivated by business/technical challenges and open to feedback for continuous improvement. Positive culture carrier, curious and creative; collaborative, team and client focused.

 

Preferred Qualifications, Capabilities, and Skills

  • Previously applied analytical experience in a financial services related industry.
Lead and innovate as a Senior professional, promoting success and excellence in your field.

Analytics Solutions Associate Senior

at J.P. Morgan

Back to all Data Science / AI / ML jobs
J.P. Morgan logo
Bulge Bracket Investment Banks

Analytics Solutions Associate Senior

at J.P. Morgan

Mid LevelNo visa sponsorshipData Science/AI/ML

Posted a month ago

No clicks

Compensation
Not specified

Currency: Not specified

City
Columbus
Country
United States

Senior Analytics Solutions Associate on the HROCFO Analytics team leading end-to-end data analytics solutions to influence direction, mitigate risk, and optimize financial outcomes. Leverage data governance, predictive analytics, data science and machine learning to understand and predict customer and business behavior, set quantifiable goals, and implement strategies through experimentation. Partner with stakeholders to drive operational excellence, present insights via narratives and visualizations, and build automated solutions using modern data tools and APIs.

Location: Columbus, OH, United States

Job Description

If you are passionate about leveraging data analytics to drive strategic decisions, mitigate risk, and optimize financial outcomes, we want you to join our team.

As an Analytics Solutions Associate Sr. on the HROCFO Analytics team, you will lead end-to-end solutions leveraging data analytics to influence direction, mitigate risk, build partnerships and optimize financial outcome.  You will be a strategic contributor, play a key role supporting data-driven decisions with direct impact to financial bottom line and collaborate with partners to drive operational excellence. In this capacity, you will utilize data governance, predictive analytics, strategy development, data science and machine learning disciplines to understand and predict customer and business behavior, set quantifiable goals, identify opportunities and implement strategies through experimentation to enhance collections and recovery performance and effectively manage operational expenses for the organization.

 

Job Responsibilities

  • Demonstrate advanced data programming and robust analytical skills to efficiently collect, organize, analyze, and disseminate significant amounts of information with a high degree of attention to detail and accuracy.
  • Become a subject matter expert and trusted partner to influence business direction and support operational success, advising on strategies with experimentation to support ongoing process improvement.
  • Leverage innovation, AI technology and design thinking to continually improve operational efficiency and resilience.
  • Interpret and present data clearly using narratives, visualizations, and context to convey insights and drive action.

 

Required Qualifications, Capabilities, and Skills

  • Bachelor’s degree in Computer Science, Engineering, Analytics or equivalent quantitative field with 4+ years of applied analytical experience, or Master’s/MBA degree with 2+ years of applied analytical experience in complex and large data environments.
  • Proven experience with programming languages (SQL, Python, Java Script), relational databases (Databricks), data wrangling ETL tools (Alteryx) and visualization tools (Tableau) to effectively collect, analyze, uncover and communicate meaningful patterns and insights.
  • Experience in API development, for building enterprise-scale applications. 
  • Strong ability to investigate and pursue solutions among extended partners and subject-matter-experts in the firm to advance progress towards automated solutions.     
  • Strategic thinking and effective communication defining clear strategy to support business goals, drive transformation and simplify complex techniques into actionable information to facilitate decision-making across diverse audiences.
  • Build business acumen and forge strong partnerships with clients and stakeholders, actively seek input to anticipate and address needs effectively, gain trust and drive learning and process improvements to accelerate business objectives.
  • Coordinate efforts and leverage diverse perspectives working effectively across functions to achieve common goals.
  • Proactively manage performance and work delivery expectations, set high-standards for self, act with sense of urgency and follow structured approach to manage multiple priorities and deliverables with high quality and error-free.
  • Willingly learn from experience, view challenges as opportunities, motivated by business/technical challenges and open to feedback for continuous improvement. Positive culture carrier, curious and creative; collaborative, team and client focused.

 

Preferred Qualifications, Capabilities, and Skills

  • Previously applied analytical experience in a financial services related industry.
Lead and innovate as a Senior professional, promoting success and excellence in your field.