Senior Data Analyst – Enterprise Data Regulatory Operations, SQL, AI Tools, Agile

Role Overview

• Manages and develops information systems for clients; conducts data information analysis for a variety of studies under the direction of organizational standards.
• Advises end-users on data manipulation, end-user support systems and statistical analysis.
• Selects new information sources and acquires stock.
• Implements and supports technologies for managing and effectively utilizing multiple information sources, formats and uses.
• Researches customers needs, conducts awareness and promotional sessions for potential customers.

Requirements

• 3+ years of relevant / direct industry experience
• Bachelor's degree
• Analytical Thinking
• Competitive Advantages
• Data Analytics
• Data Mining
• Data Science
• Machine Learning (ML)
• Project Management
• Scrum
• Structured Query Language (SQL)

Tech Stack

• SQL

Benefits

• medical/prescription drug coverage (with a Health Savings Account feature)
• dental and vision options
• employee and spouse/child life insurance
• short and long-term disability protection
• 401(k) with PNC match
• pension and stock purchase plans
• dependent care reimbursement account
• back-up child/elder care
• adoption, surrogacy, and doula reimbursement
• educational assistance, including select programs fully paid
• a robust wellness program with financial incentives
• maternity and/or parental leave
• up to 11 paid holidays each year
• 9 occasional absence days each year, unless otherwise required by law
• between 15 to 25 vacation days each year, depending on career level; and years of service