About The Position

As an Analytics Solutions Associate within JPMorganChase’s Corporate Financial Analysis team, you will serve as a finance analytics partner supporting business decision-making, operational improvement, and financial performance management. You will work with finance leaders, clients, business stakeholders, and technology partners to understand priorities, investigate business questions, and turn financial and operational data into insights and recommendations. The role combines financial expertise with hands-on analytics. You will use SQL, Databricks, Anaplan, and related tools to access, validate, analyze, and interpret complex data. You will also help troubleshoot data and reporting issues across systems, improve processes, and adopt new tools as the organization expands its analytics, automation, and AI capabilities.

Requirements

  • Bachelor’s degree in Finance, Accounting, Economics, Business Analytics, Management Information Systems, or a related quantitative field.
  • At least 2 years of experience in finance, financial analysis, FP&A, finance transformation, business analytics, reporting, strategy, business management, or a related finance-focused analytical role.
  • Demonstrated finance experience and understanding of financial statements, financial drivers, performance metrics, planning, forecasting, reporting, or operational expense management.
  • Proficiency writing SQL queries to retrieve, validate, and analyze data.
  • Hands-on experience using Databricks in a data analysis, reporting, or financial decision-support environment.
  • Strong analytical and structured problem-solving skills, including the ability to investigate issues, identify root causes, and recommend practical solutions.
  • Strong client-facing communication and stakeholder-management skills, including the ability to explain complex financial and technical information clearly.
  • Ability to translate data and analysis into concise narratives, recommendations, and presentation materials that support decision-making.
  • Experience collaborating across finance, business, and technology functions in a matrixed environment.
  • Strong organizational skills, attention to detail, and ability to manage multiple priorities and deliverables with urgency and accuracy.
  • Curiosity, adaptability, and willingness to learn new technologies, troubleshoot technical issues, and expand technical capabilities.

Nice To Haves

  • Experience in banking, financial services, or another complex financial environment.
  • Experience with Alteryx, Anaplan, advanced Excel, or similar analytics and visualization tools.
  • Experience supporting finance process improvement, reporting modernization, data-quality, or automation initiatives.
  • Exposure to AI-enabled analytics, automation tools, or emerging technology solutions.

Responsibilities

  • Perform financial and operational analyses to identify trends, drivers, risks, opportunities, and recommendations that support business decisions and financial outcomes.
  • Partner with finance leaders, clients, and business stakeholders to understand priorities, define analytical needs, and provide clear, timely decision support.
  • Use SQL and Databricks to source, validate, organize, and analyze large and complex datasets accurately, and translate findings into business narratives, visualizations, and actionable recommendations for technical and non-technical audiences.
  • Investigate and help resolve data, reporting, and process issues across multiple systems in partnership with technology teams and subject-matter experts.
  • Support recurring and ad hoc financial reporting, performance analysis, planning, and management deliverables while managing multiple priorities and deadlines.
  • Identify opportunities to simplify, automate, and strengthen financial analytics, reporting processes, and controls.
  • Build trusted relationships across finance, business, and technology teams and coordinate cross-functional work to advance shared objectives.
  • Adopt new analytical tools and methods and contribute to the team’s evolution toward more automated and AI-enabled capabilities.

Benefits

  • Competitive total rewards package, including base salary determined by role, experience, skill set, and location.
  • Eligible roles may receive commission-based pay and/or discretionary incentive compensation in cash and/or forfeitable equity.
  • Comprehensive health care coverage.
  • On-site health and wellness centers.
  • Retirement savings plan.
  • Backup childcare.
  • Tuition reimbursement.
  • Mental health support.
  • Financial coaching.
© 2026 Teal Labs, Inc
Privacy PolicyTerms of Service