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Senior Financial Data Analyst

Jobs via Dice

McLean · On-site Contract Senior 2d ago

About the role

Position Details

  • Title: Senior Financial Data Analyst
  • Duration: 6 Months Contract with possible extension
  • Location: McLean, VA (5 days – Onsite)
  • Start Date: ASAP

Position Overview

We are seeking an experienced Senior Financial/Data Analyst to support a large strategic financial initiative within the Investments & Capital Markets division. The role involves a mix of project management, financial reporting, data analysis, reconciliations, and testing, along with coordination across business and IT teams.

Must-Have Skills

  • 5+ years of relevant experience
  • Advanced SQL expertise
  • Ability to read and understand Python code
  • Strong Excel (advanced level) skills
  • Strong analytical and problem‑solving abilities
  • Financial background (accounting/finance/reporting)
  • Experience with large datasets and relational databases
  • Strong communication and teamwork skills

Nice-to-Have Skills

  • Mortgage/Capital Markets domain experience
  • Experience with financial systems or accounting applications
  • Knowledge of general ledger/subledger data
  • JIRA experience
  • Data automation and validation experience

Key Responsibilities

  • Perform complex data analysis, reconciliations, and financial reporting
  • Use advanced Excel and SQL for large dataset analysis and validation
  • Gather and document data transformation and financial requirements
  • Support testing (UAT), regression, and reconciliation activities
  • Create and maintain technical and process documentation
  • Automate validation and data preparation processes
  • Track development activities using JIRA
  • Troubleshoot and resolve data and project issues
  • Collaborate with business and IT stakeholders
  • Support project management activities, including tracking, reporting, and training

Qualifications

  • Bachelor’s degree in Accounting, Finance, Mathematics/Statistics, Economics, Data Analytics, or a related field
  • Strong expertise in:
    • SQL querying on complex datasets
    • Advanced Excel (data manipulation, validation, reporting)
  • Excellent communication, documentation, and presentation skills
  • Ability to translate business requirements into technical solutions
  • Strong attention to detail and accuracy

Key to Success

  • Strong Excel‑driven data analysis and reconciliation skills
  • Ability to manage multiple priorities effectively
  • High focus on accuracy, reliability, and timelines
  • Ability to validate data, code, and processes
  • Team‑oriented mindset with a proactive attitude

Skills

ExcelJIRAPythonSQL

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