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Information Technology 🏢 Full Time ⭐️ Verified

Senior Business Analyst - Weekly Pay

Nexus Financial Partners
New York
Estimated Salary
USD 85.000 – USD 115.000
Live Update
15 Juni 2026
Deadline
15 Jun 2027

Job Description

Join Nexus Financial Partners as a Senior Business Analyst and enjoy the stability of weekly paychecks in New York's vibrant finance district. We're seeking a strategic thinker to drive data-informed decisions for our wealth management division. This hybrid role offers competitive compensation, comprehensive benefits, and direct impact on multi-million dollar portfolios.

Why Nexus? Our commitment to financial empowerment includes weekly payroll processing, flexible scheduling, and career advancement pathways. You'll collaborate with C-suite executives while mastering cutting-edge analytics tools in an inclusive, meritocratic environment.

Responsibilities

  • Translate complex business requirements into actionable data models for investment strategies
  • Lead stakeholder workshops across trading, compliance, and client services departments
  • Develop interactive dashboards using Power BI and Tableau for portfolio performance tracking
  • Quantify ROI opportunities through predictive analytics and market trend analysis
  • Document processes using UML diagrams and Asana workflow integrations
  • Mentor junior analysts on regulatory compliance frameworks (SEC, FINRA)
  • Present findings to executive committees with clear executive summaries

Qualifications

  • Bachelor's degree in Finance, Economics, Data Science, or related field (MBA preferred)
  • 5+ years of business analysis experience in financial services
  • Advanced proficiency in SQL, Python, and Excel VBA
  • Certification in CBAP or PMI-PBA
  • Proven track record of improving KPIs by 30%+
  • Experience with Agile/Scrum methodologies
  • Exceptional communication skills with ability to simplify complex concepts
  • Portfolio demonstrating data visualization projects

Required Skills

SQL Python Power BI Tableau Agile Financial Modeling Stakeholder Management Data Analysis

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