Analytics Solutions Associate Senior

JPMorgan Chase

Quick summary

Work type
On-site
Location
Plano, TX
Posted
10 days ago

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Salary context

How this pay compares to similar roles

Similar $175k
$127k most similar roles pay here $222k

This listing doesn't post a salary. Most similar roles pay $136,172–$213,052.

Based on 240 similar postings.

Employer

About JPMorgan Chase

JPMorgan Chase & Co. is a global financial services firm and one of the largest banks in the world, offering investment banking, commercial banking, asset management, and consumer financial services.

JPMorgan Chase currently has 436 open roles on FindRole.

Listed pay typically runs $152,000–$215,000 across 230 roles with salary data.

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At a glance

TL;DR · Analytics Solutions Associate Senior

As an Analytics Solutions Associate Senior on the DART (Data, Analytics and Reporting Team), you will be responsible for delivering data-driven business solutions by owning end-to-end MIS solution delivery, including requirements gathering, metric definition, and visualization. You will design and build reliable ELT/ETL pipelines in Python and SQL, create executive-ready dashboards with Tableau, and apply advanced analytics to optimize operational performance. The role requires expertise in SQL, Python (pandas, NumPy), data lake/cloud environments like Snowflake and AWS services, and strong data visualization skills. You will also manage a book of work, prioritize initiatives, and mentor junior colleagues while adhering to strict data governance standards. This position is ideal for someone with 5+ years of hands-on analytics experience in operations analytics or MIS within complex environments, aiming to drive innovation in data management and automation at scale.

What you'll do

  • Own end-to-end MIS solution delivery from requirements to visualization.
  • Design and build reliable ELT/ETL pipelines using Python and SQL.
  • Create executive-ready dashboards with intuitive UX in Tableau or similar tools.
  • Apply advanced analytics techniques to optimize operational performance.
  • Implement data quality frameworks and maintain runbooks for SLAs/SLOs.
  • Translate complex findings into concise narratives for senior stakeholders.
  • Identify risks, opportunities, and value-unlock levers in operational processes.

What we're looking for

  • 5+ years of hands-on analytics experience delivering measurable business improvements.
  • Expert-level SQL and strong Python skills, including pandas and NumPy.
  • Proven experience building automated data pipelines in cloud environments.
  • Strong data visualization skills with Tableau or equivalent tools.
  • Working knowledge of machine learning and applied statistics for operations use cases.
  • Excellent verbal and written communication skills to synthesize complex analyses.
  • Bachelor’s degree in a quantitative or technical field.

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