Senior Compliance Data Analysis- AI

Reporting to the Executive Director, Innovation, Digital Enablement, and Analytical Solutions (IDEAS), the Senior Specialist role will support ECO by helping to build and enhance data-driven solutions with a focus on critical-to-compliance risk areas. This position is a hybrid role that sits at the intersection of technology and business and will be focused on supporting ECO-wide initiatives. The Senior Specialist partners with IDEAS team members and ECO stakeholders to understand business needs, translate them into technical requirements, and deliver well-tested solutions.

Individuals in this role bring a strong technical foundation (data modeling, SQL, visualization software, various programming languages) and a desire to deepen their understanding of the business and compliance environment. The IDEAS team works in a collaborative model, with individuals contributing to projects from concept to deployment while learning new and emerging technologies to help mitigate company risk.

• Data cleaning, preparation and structuring to enable the analysis of information.
• Demonstratable proficiency in R and Python coding languages.
• Demonstratable experience working with large language models (LLMs).
• Able to write/understand a programming language (.Net, C#, Java, HTML)
• Intermediate to advanced ability to write SQL (Inner & Outer Joins, Linked Servers, Functions, Stored Procs, Case Statements) and Microsoft Fabric.
• Ability to independently learn and incorporate new and emerging technology & techniques (AI, ML, BOTs, NLP)
• Understand underlying theory and application of key reporting/visualization software.
• Evaluate data using analytical and logical reasoning for the discovery of insights.

• Demonstrate how technology can be leveraged to solve problems.
• Demonstrate an understanding of the company's business.
• Understand current industry trends impacting the business.

• Understand the KPIs used to measure the business framework.
• Ability to articulate insights and explain their impact and opportunities on the business.
• Desire to grow technical and business knowledge through feedback, training, and hands‑on work.
• Comfort working on tasks or projects that aren't always initially well defined, with guidance from senior team members.
• Ability to collaborate effectively across functions and incorporate stakeholder input into deliverables.
• Clear written and verbal communication skills, including the ability to explain technical concepts to non-technical audiences.
• Strong time management and organizational skills.

• Ability to organize work, manage tasks, and communicate status within a project team.
• Demonstrable ability to contribute to projects from concept to deployment, including requirements gathering, development, testing, and documentation.
• Ability to manage multiple tasks or work streams with appropriate prioritization.
• Ability to work effectively in a fast-paced environment and meet deadlines.

• Required:
  
  -BS/BA required-
• Preferred:
  
  -BS/BA or higher in one of the following areas:
  
  - Computer Science, Math, Data Analytics, Management of Information Science
• 3-7 years of relevant experience (including internships, co‑ops, or academic projects) in analytics, data engineering, software development, or a related technical field.
• SQL Server Management Studio (SSMS), Oracle, AWS, Azure
• SQL Integration Services (SSIS)
• Microsoft Power Platform (Power BI, Power Automate, Power Apps, Windows Forms)
• Visualization Tools (Power BI, Tableau, Qlik)
• Process automation (Power Automate, Blue Prism, UI Path)
• DataIKU, NLP Models
• Microsoft Fabric
• Ability to work independently and partner with stakeholders to understand needs and translate them into technical requirements and solutions
• Strong communication skills and ability to tailor messages for technical and non‑technical audiences.
• Strong analytical & quantitative skills with the ability to develop and interpret data insights, document work clearly, and present results to stakeholders.

• Exposure to regulated industries (e.g., pharmaceutical/healthcare) or compliance‑related work or enterprise data environments…