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Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

Analytics Solutions - Senior Associate

at J.P. Morgan

ExperiencedNo visa sponsorship

Posted 17 days ago

No clicks

Lead analytics and data warehousing initiatives within the F&BM Strategic Operational Data Intelligence team, delivering current-state documentation, data lineage, and pragmatic data solutions. Collaborate with cross-functional and multi-region stakeholders to design, implement and govern data pipelines using SQL, Python and cloud technologies such as AWS Glue and AWS Lambda. Drive data governance, quality controls and project delivery across matrix organizations while promoting continuous improvement and agile practices.

Compensation
Not specified

Currency: Not specified

City
Buenos Aires
Country
Argentina

Full Job Description

Location: Buenos Aires, Argentina

Join our F&BM Strategic Operational Data Intelligence team as an Analytics Solutions Manager and help shape the future of our organization through innovative data solutions. You’ll lead strategic initiatives, collaborate with cross-functional teams, and deliver high-quality outcomes in a dynamic environment. We value hands-on, pragmatic professionals who communicate confidently, prioritize effectively, and foster an inclusive culture of continuous improvement.


As an Analytics Solutions Manager in our F&BM Strategic Operational Data Intelligence team , you initiate strategic decisions and deliver impactful data solutions. You balance structure and best practices with pragmatic approaches, ensuring high-quality outcomes. You communicate and negotiate confidently at all levels, prioritize effectively, and embrace a hands-on attitude to get things done. Together, we foster an inclusive environment where your contributions help shape our organization’s future.

Job responsibilities

  • Lead the delivery of current state documentation and data lineage capture.
  • Interpret data requirements into actionable plans and identify inconsistencies.
  • Apply best practice data governance and data quality controls.
  • Manage project delivery across borders and within matrix reporting structures.
  • Oversee data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Utilize industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.
  • Integrate data warehousing solutions within cloud platforms such as AWS Glue and AWS Lambda.
  • Collaborate with cross-functional teams to forge innovative analytics projects.
  • Communicate and negotiate effectively with stakeholders at all levels.
  • Prioritize tasks and manage multiple projects simultaneously.
  • Foster a culture of teamwork and continuous improvement.

Required qualifications, capabilities, and skills

  • Bachelor’s degree in a quantitative discipline, or equivalent education and/or professional experience.
  • Over 5 years of experience in business systems analysis or in designing and developing business applications.
  • At least 3 years of hands-on experience with SQL and Python (or another programming language) in a professional setting.
  • Solid understanding of banking operations, ideally with expertise in payment processing.
  • In-depth knowledge of database design and relational database concepts
  • Proven ability to deliver current state documentation and capture data lineage.
  • Strong grasp of best practices in data governance and data quality management.
  • Advanced delivery skills, including managing projects within a matrix organization across borders and multiple regions.
  • Practical knowledge of data warehouse process models, such as data sourcing, loading, transformation, and extraction, with experience using industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.
  • Familiarity with cloud-based data warehousing technologies (e.g., AWS Glue, AWS Lambda, Data Warehouse, Data Lake, Data Mesh).
  • Exceptional analytical abilities and keen attention to detail.
     

Preferred qualifications, capabilities, and skills

  • Experience delivering within strategic front-to-back programs.
  • Understand core metadata and data quality principles, data transfer, and profiling technologies.
  • Promote lean and agile software development lifecycle behaviors.
  • Broad financial services experience and an understanding of current banking industry challenges.
  • Experience with large-scale data warehouses.
Lead analytics solutions, initiate strategic decisions, and shape data-driven innovation in a collaborative, growth-focused team.

Job Details

J.P. Morgan logo
Bulge Bracket Investment Banks

17 days ago

clicks

Analytics Solutions - Senior Associate

at J.P. Morgan

ExperiencedNo visa sponsorship

Not specified

Currency not set

City: Buenos Aires

Country: Argentina

Lead analytics and data warehousing initiatives within the F&BM Strategic Operational Data Intelligence team, delivering current-state documentation, data lineage, and pragmatic data solutions. Collaborate with cross-functional and multi-region stakeholders to design, implement and govern data pipelines using SQL, Python and cloud technologies such as AWS Glue and AWS Lambda. Drive data governance, quality controls and project delivery across matrix organizations while promoting continuous improvement and agile practices.

Full Job Description

Location: Buenos Aires, Argentina

Join our F&BM Strategic Operational Data Intelligence team as an Analytics Solutions Manager and help shape the future of our organization through innovative data solutions. You’ll lead strategic initiatives, collaborate with cross-functional teams, and deliver high-quality outcomes in a dynamic environment. We value hands-on, pragmatic professionals who communicate confidently, prioritize effectively, and foster an inclusive culture of continuous improvement.


As an Analytics Solutions Manager in our F&BM Strategic Operational Data Intelligence team , you initiate strategic decisions and deliver impactful data solutions. You balance structure and best practices with pragmatic approaches, ensuring high-quality outcomes. You communicate and negotiate confidently at all levels, prioritize effectively, and embrace a hands-on attitude to get things done. Together, we foster an inclusive environment where your contributions help shape our organization’s future.

Job responsibilities

  • Lead the delivery of current state documentation and data lineage capture.
  • Interpret data requirements into actionable plans and identify inconsistencies.
  • Apply best practice data governance and data quality controls.
  • Manage project delivery across borders and within matrix reporting structures.
  • Oversee data warehouse process models, including sourcing, loading, transformation, and extraction.
  • Utilize industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.
  • Integrate data warehousing solutions within cloud platforms such as AWS Glue and AWS Lambda.
  • Collaborate with cross-functional teams to forge innovative analytics projects.
  • Communicate and negotiate effectively with stakeholders at all levels.
  • Prioritize tasks and manage multiple projects simultaneously.
  • Foster a culture of teamwork and continuous improvement.

Required qualifications, capabilities, and skills

  • Bachelor’s degree in a quantitative discipline, or equivalent education and/or professional experience.
  • Over 5 years of experience in business systems analysis or in designing and developing business applications.
  • At least 3 years of hands-on experience with SQL and Python (or another programming language) in a professional setting.
  • Solid understanding of banking operations, ideally with expertise in payment processing.
  • In-depth knowledge of database design and relational database concepts
  • Proven ability to deliver current state documentation and capture data lineage.
  • Strong grasp of best practices in data governance and data quality management.
  • Advanced delivery skills, including managing projects within a matrix organization across borders and multiple regions.
  • Practical knowledge of data warehouse process models, such as data sourcing, loading, transformation, and extraction, with experience using industry-standard data warehousing tools for ingestion, streaming, storage, and visualization.
  • Familiarity with cloud-based data warehousing technologies (e.g., AWS Glue, AWS Lambda, Data Warehouse, Data Lake, Data Mesh).
  • Exceptional analytical abilities and keen attention to detail.
     

Preferred qualifications, capabilities, and skills

  • Experience delivering within strategic front-to-back programs.
  • Understand core metadata and data quality principles, data transfer, and profiling technologies.
  • Promote lean and agile software development lifecycle behaviors.
  • Broad financial services experience and an understanding of current banking industry challenges.
  • Experience with large-scale data warehouses.
Lead analytics solutions, initiate strategic decisions, and shape data-driven innovation in a collaborative, growth-focused team.