Operations Analyst

Cover Whale

New York (NY)

On-site

USD 70,000 - 90,000

Full time

14 days+
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Job summary

Uniting Holding is seeking an Operations Analyst in New York to create scalable workflows that enhance client experiences as the company grows. The role focuses on accountability for metrics and SLAs, promoting data-driven improvements within the operations stack.

Ideal candidates will have 2-4 years of experience in operations within the insurance industry and excel in fast-paced environments. A strong commitment to operational excellence and problem-solving is essential for success in this role.

Qualifications

  • 2-4 years in operational, analytical, or professional services role within the insurance industry.
  • Experience in fast-paced and high-growth environments.
  • Strong analytical capabilities with data-focused mindset.

Responsibilities

  • Create scalable workflows to support operations.
  • Monitor key metrics and report on SLAs.
  • Drive tech-enabled automation and build training materials.

Skills

Operational excellence
Data analysis
Communication
Problem-solving

Job description

About the role

We are currently looking for an Operations Analyst who will create scalable workflows to support our operations stack as we scale, always keeping an eye on the quality of the client experience. In this role, you will assume accountability for metrics and SLAs, fully understanding their connection to our mission and focusing heavily on data-driven process building and improvement. Some examples of work you will take on over the next six months:

  • You will assume ownership for the metrics and outcomes associated with a core component of our operations platform
  • You will distill healthcare complexity and translate it into scalable workflows that the operations team can execute against daily by building training materials, SOPs and policies
  • In partnership with our Tech Team, you will drive tech-enabled automation by pulling your own data from our databases, synthesizing it, and creating insights that drive prioritization and decisions
  • You will bring to light process and technology issues through ongoing measurement and monitoring of our workflows and performance
  • You will monitor key metrics daily and report on SLAs, identify risk areas and quickly troubleshoot, and address root cause errors to prevent them from repeating
About You - We're looking for someone who:
  • Has 2-4 years of experience in an operational, analytical, or professional services role within the insurance industry
  • Has a deep interest in operations, process improvement, and leveraging operations to achieve business goals
  • Is an empathetic, collaborative person with experience working in fast-paced & high-growth environments
  • Has the operational & intellectual horsepower to both learn subject matter quickly & build process to train others
  • Is an excellent communicator with comfort and competency talking to people all day
  • Is a relentless problem solver, motivated to engineer solutions to recurring challenges you see
  • Is excited to get their hands dirty, and recognizes that no task is too small in the effort to build a large and scalable organization
  • Believes deeply in the idea that the future of healthcare can be significantly better and is driven by the opportunity we have in front of us to make it a reality
  • Has a track record of continual learning and improvement throughout their career
  • Strives for operational excellence and knows that there is always room to do better
How we work

We've designed & built our culture around a set of core values. We look for candidates who embody those values and will help bring them to life through their work. As part of the interview process we share those values with candidates and actively search for people who would thrive in our environment. At a high level, our values are:

  • Change the system from within
  • Report to the goal
  • Be the catalyst
  • Work hard and work smart
  • Do more with less
  • Assume best intent
  • Aim high and dream big
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