Data Analyst - Python & Modeling, Business Liaison

Apex Systems

Town of Florida (NY)

On-site

USD 70,000 - 90,000

Full time

44 hours ago
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Job summary

Everforth Apex is seeking a Mid Level Data Analyst to bridge business needs and data solutions in a fast-paced environment. Located onsite in Lake Mary, FL, you will model data, analyze requirements, and automate tasks with Python to support analytics delivery.

You will collaborate with business stakeholders and technical teams, document epics and user stories, and contribute to data-driven decisions across financial services contexts. Strong communication is essential.

Qualifications

  • Experience in business analysis and data analysis.
  • Hands-on data modeling experience.
  • Experience in financial services or banking is strongly preferred.

Responsibilities

  • Serve as a liaison between business stakeholders and technical teams to document requirements in the form of epics and user stories.
  • Apply business analysis and data analysis fundamentals to understand business concepts and how they map into data models or solutions.
  • Utilize Python scripting for practical automation tasks, such as bulk data-model validations, analysis support, or streamlining delivery tasks.
  • Communicate effectively with both business and technical stakeholders to ensure alignment and clarity.
  • Operate in a fast-paced environment, adapting to the team's pace and expectations.
  • Use available AI tools and demonstrate a willingness to learn and expand scripting capabilities.

Skills

Python scripting
Data modeling
Business analysis
Clear communication

Job description

Everforth Apex is seeking a Mid Level Data Analyst to bridge business needs and data solutions in a fast-paced environment. Located onsite in Lake Mary, FL, you will model data, analyze requirements, and automate tasks with Python to support analytics delivery.

You will collaborate with business stakeholders and technical teams, document epics and user stories, and contribute to data-driven decisions across financial services contexts. Strong communication is essential.

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