Data Analyst at FL

Elite WorkForceLake Mary, FL
Hybrid

About The Position

We are seeking a mid-level Data Analyst with 3-5 years of experience to join our team. The role involves supporting clients through the onboarding of a new tool, managing the process, and handling ad hoc requests. This position has both client-facing and data-focused responsibilities. The team is currently building an onboarding tool with an estimated go-live date of July. You will be responsible for data mapping and analysis to support Asset Consolidation requests. This includes meeting with clients and data providers to understand data models and schemas, mapping data into a standard template, and conducting additional analysis. You will also manage client expectations throughout the Asset Consolidation process, providing support from data analysis and paperwork generation to account opening and transfer. The role requires managing multiple client engagements simultaneously and flexibility to handle ad hoc requests.

Requirements

  • 3-5 years of experience
  • Data Analysis
  • Data Mapping/Schema
  • Client Support
  • 3+ years of experience in data modelling/analysis

Nice To Haves

  • Financial services experience is a big plus
  • Client facing experience is a plus
  • Experience in the securities or financial services industry is a plus
  • Python knowledge is a plus
  • Power Query knowledge is a plus

Responsibilities

  • Support clients through onboarding of new tool, including ad hoc requests
  • Map data into the tool
  • Responsible for data mapping and analysis to support Asset Consolidation requests
  • Meet with clients and data providers to gain a full understanding of data models and schema
  • Map data into a standard data template
  • Conduct additional analysis on the data
  • Meet with clients to manage expectations during the entire Asset Consolidation process
  • Support will be provided from data analysis to paperwork generation through to account opening and transfer
  • Manage multiple client engagements at the same time
  • Handle ad hoc requests, requiring flexibility
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