Associate Data Analyst

Summary

Edkey is a specialty risk underwriting organization seeking an Associate Data Analyst to support its actuarial reserving function. This early-career role focuses on data manipulation, reporting, and tool support to enable reserving analyses and decision-making, working alongside actuaries and data teams.

Responsibilities

• Apply programming and engineering fundamentals to build, test, and maintain data tools, systems, and reporting solutions for actuarial reserving
• Develop and run reports that summarize reserving analyses and support actuarial conclusions
• Clean, reconcile, and validate large datasets from multiple internal systems to ensure data accuracy and integrity
• Write and maintain SQL queries and scripts in R or Python to transform and analyze reserving data
• Create templates and Excel-based tools to streamline reserving workflows and reporting (advanced Excel skills)
• Support the reserving team by validating data inputs, performing variance checks, and troubleshooting data issues
• Collaborate with actuarial, IT, and other functional teams to improve data quality, documentation, and consistency
• Assist with ad hoc projects and continuous improvement initiatives aligned with a collaborative, high-performing culture
• Use AI and automation tools where appropriate, applying critical judgment to interpret and validate machine-generated insights

Skills

• Bachelor's degree with strong academic performance (Data, Math, Statistics, Finance, Economics, Computer Science, or related)
• Strong data and analytical skills developed through coursework or experience in Insurance, IT, Finance, Data, or Mathematics
• Proficiency writing SQL queries; experience coding in R and/or Python
• Advanced Excel skills in an analytical environment (pivot tables, formulas, data validation)
• Strong attention to detail with a demonstrated ability to verify and reconcile data
• Ability to learn and apply technical concepts, take ownership of well-defined tasks, and work within deadlines
• Good communication and interpersonal skills to build effective relationships with peers and managers
• Commitment to advancing technical knowledge (willingness to upskill in data engineering, analytics, and actuarial methods)
• Insurance industry experience preferred but not required
• Prior experience supporting reserving teams is a plus

Qualifications

Must Haves

• Bachelor's degree with strong academic performance (Data, Math, Statistics, Finance, Economics, Computer Science, or related)
• Strong data and analytical skills developed through coursework or experience in Insurance, IT, Finance, Data, or Mathematics
• Proficiency writing SQL queries; experience coding in R and/or Python
• Advanced Excel skills in an analytical environment (pivot tables, formulas, data validation)
• Strong attention to detail with a demonstrated ability to verify and reconcile data
• Ability to learn and apply technical concepts, take ownership of well-defined tasks, and work within deadlines
• Good communication and interpersonal skills to build effective relationships with peers and managers
• Commitment to advancing technical knowledge (willingness to upskill in data engineering, analytics, and actuarial methods)

Nice to Haves

• Insurance industry experience preferred but not required
• Prior experience supporting reserving teams is a plus

Benefits

• Health & welfare benefits (medical, prescription, dental, vision) and Health Savings Account options (eligibility rules apply).
• Flexible Spending Accounts (health care and dependent care), commuter benefits, life insurance, and AD&D.
• Leave benefits including paid holidays, paid time off (and state/local paid leave where required), short- and long-term disability, family and medical leave, and caregiver leave.
• Retirement benefits (401(k) or equivalent contributory savings plan).
• Employee assistance and work/life resources.