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Data Analyst

Job in Charlotte, Mecklenburg County, North Carolina, 28245, USA
Listing for: Axelon Services Corporation
Full Time position
Listed on 2026-10-18
Job specializations:
  • IT/Tech
    Data Analyst, Data Scientist, Data Science Manager
  • Finance & Banking
    Data Scientist
Salary/Wage Range or Industry Benchmark: 85000 - 120000 USD Yearly USD 85000.00 120000.00 YEAR
Job Description & How to Apply Below
  • Assist with mathematical, statistical, and economic methods to determine market conditions, project consumer needs, and inform business initiatives.
  • Identify trends from modeling and inform other lines of business such as product development and marketing decisions.
  • Help develop data mining models, statistical reporting, and data analysis methodologies to identify key customer segments and simulate the impact of potential future business decisions.
  • Develop detailed reports and conclusions for business, finance, and investment management based on data summaries.
  • Recognize areas of opportunity and risk through data analysis and modeling and report findings.
  • Provide information for additional research and analysis in line with statistical methodology.
  • Assist other areas of the business to model the potential outcomes of implementing various business strategies.
Summary
  • Work Mode:
    Remote Flex
  • Location:

    Charlotte, NC, USA
  • Additional Locations:
    Iselin, NJ, USA
  • Duration: 01-Jul-2026 to 31-Dec-2027
Responsibilities
  • Assist with mathematical, statistical, and economic methods to determine market conditions, project consumer needs, and inform business initiatives.
  • Identify trends from modeling and inform other lines of business such as product development and marketing decisions.
  • Help develop data mining models, statistical reporting, and data analysis methodologies to identify key customer segments and simulate the impact of potential future business decisions.
  • Develop detailed reports and conclusions for business, finance, and investment management based on data summaries.
  • Recognize areas of opportunity and risk through data analysis and modeling and report findings.
  • Provide information for additional research and analysis in line with statistical methodology.
  • Assist other areas of the business to model the potential outcomes of implementing various business strategies.
Requirements
  • University degree preferred.
  • Minimum 2 years of work experience required.
  • Hands-on experience in Reference Data/Security Master/Investment Data Management roles within asset management, investment banking, or financial services firms.
  • Strong working knowledge of Eagle (PACE, STAR, Data Management) and data management processes.
  • Proficient with Bloomberg (BBG Terminal, BBG AIM, BBG PORT) and Charles River (CRD) applications for data sourcing and validation.
  • Solid understanding of financial instruments, including Equities, Fixed Income, Derivatives, and Structured Products.
  • Familiarity with data feeds (e.g., Bloomberg BPIPE, Client, Markit) and static data integration workflows.
  • Excellent verbal and written communication skills for stakeholder interactions (mainly US-based teams).
  • Willingness to work in US time zone (evening/night IST).
  • Ability to analyze process/data exceptions and proven attention to detail.
  • Experience using Microsoft Office suite of products (particularly Excel and VBA) and SQL.
Preferred Skills
  • SQL or data query/reporting knowledge.
  • Prior exposure to automation or process improvement initiatives (Alteryx, Python, VBA, etc.).
  • Experience working with middle office or front office support environments.
  • Understanding of trade lifecycle and reference data’s role in it.
Key Attributes
  • Detail-oriented and quality-focused.
  • Strong ownership and accountability mindset.
  • Collaborative and able to work in a fast-paced, global environment.
  • Adaptable to changing priorities and technology enhancements.
  • Ability to work relatively independently and in a team-oriented, collaborative environment.
  • Prioritization and problem-solving skills.
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