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Data Analyst SQL, Power BI, Excel

Enterprise Business Solutions Inc

Jersey City, New Jersey • 21d ago

Easy Apply

Contract

Depends on Experience

Job Details

Skills

Software Engineering
Workflow Optimization
Incident Management
Continuous Improvement
Root Cause Analysis
Collaboration
Analytical Skill
Front Office
Financial Services
Performance Tuning
C#
.NET
VBA
Conflict Resolution
Problem Solving
SQL
Data Integration
Python
DNA
Microsoft Windows
Microsoft Excel
Bloomberg
Workflow
Market Analysis
Research
Productivity
Artificial Intelligence
Microsoft Technologies
Microsoft Office
Microsoft SharePoint
Microsoft Power BI
Scripting
Windows PowerShell
Bash
Training
Computer Science
Data Science
Finance

Software Engineering
Workflow Optimization
Incident Management
Continuous Improvement
Root Cause Analysis
Collaboration
Analytical Skill
Front Office
Financial Services
Performance Tuning
C#
.NET
VBA
Conflict Resolution
Problem Solving
SQL
Data Integration
Python
DNA
Microsoft Windows
Microsoft Excel
Bloomberg
Workflow
Market Analysis
Research
Productivity
Artificial Intelligence
Microsoft Technologies
Microsoft Office
Microsoft SharePoint
Microsoft Power BI
Scripting
Windows PowerShell
Bash
Training
Computer Science
Data Science
Finance

Summary

Role Overview

Join our Technology Solutions team in a front-office facing role supporting investment professionals through Excel engineering, workflow automation, and hands-on user engagement. You will partner with PMs, analysts, traders, and technology teams to build and support robust Excel-based tools that improve workflow efficiency, data access, and analytical capabilities across the investment process.

Key responsibilities include:

User Enablement & Support: Support investment professionals using Excel-based tools through troubleshooting, training, and day-to-day user engagement.
Excel Application Engineering: Design, develop, and maintain Excel-based applications, models, and add-ins using C#, .NET, VBA, and Excel add-in technologies.
Workflow Optimization & Best Practices: Improve workbook and add-in performance, including calculation efficiency, memory usage, and data access patterns and promote best practices for Excel model design.
Data Integration & Automation: Develop automation and data integrations across Excel workflows and underlying data platforms.
Incident Management & Continuous Improvement: Investigate production issues, perform root-cause analysis, and improve diagnostics, logging, and support tooling.
Stakeholder Collaboration: Partner with investment professionals and central technology teams to identify workflow improvements, prioritize enhancements, and deliver scalable solutions.

Qualifications & Requirements:

Strong experience developing and supporting Excel-based applications, analytical models, or front-office tooling within an investment or financial services environment.
Deep understanding of Excel workbook design, calculation behavior, performance optimization, and stability in complex user workflows.
Strong C# and .NET development skills, including experience building Excel integrations, automation, or add ins; VBA experience is helpful.
Experience working in a highly user-facing role, partnering with PMs, analysts, traders, or other business users.
Strong troubleshooting and problem-solving skills, with the ability to diagnose production issues and communicate clearly with both technical and non-technical stakeholders.
Experience with SQL and data integration across enterprise data platforms; Python is a plus.
Familiarity with Excel add-in frameworks such as Excel-DNA, Add-in Express, or similar technologies.

Preferred Experience:

Experience supporting Excel add-ins and Office deployments in enterprise Windows environments.
Experience diagnosing issues with third-party Excel add-ins (e.g. Bloomberg, Visible Alpha) used in financial workflows (e.g., market data, research, and productivity tools). Familiarity with AI/Office add-ins (e.g. Claude for Office) is a plus.
Familiarity with Microsoft technologies such as Office 365, SharePoint, and Power BI.
Experience with scripting languages such as PowerShell or Bash.

Education, Training & Experience:

3+ years of relevant experience within an investment bank, asset manager, hedge fund, or related software provider.
Degree in Computer Science, Data Science, Finance, or a related field.

Employers have access to artificial intelligence language tools (“AI”) that help generate and enhance job descriptions and AI may have been used to create this description. The position description has been reviewed for accuracy and Dice believes it to correctly reflect the job opportunity.

Dice Id: 10125634
Position Id: 356aeecc3eefa76a39c3ca2e50dacd07
Posted 1 day ago

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