Operational Analytics & Forecasting, Lead Analyst (Remote, US) at Openly
Remote, Oregon, USA -
Full Time


Start Date

Immediate

Expiry Date

06 Dec, 25

Salary

124260.0

Posted On

07 Sep, 25

Experience

0 year(s) or above

Remote Job

Yes

Telecommute

Yes

Sponsor Visa

No

Skills

Python, Staffing Models, Models, Deviations, Auto Insurance, Customer Experience, Refining, Data Extraction, Interpersonal Skills, Management Skills

Industry

Financial Services

Description

WHY OPENLY

Openly is rebuilding insurance from the ground up. We are re-envisioning and enhancing every aspect of the customer experience. Doing this requires a rapidly growing team of exceptional, curious, empathetic people with a wide range of skill sets, spanning technology, data science, product, marketing, sales, service, claims handling, finance, etc.

DESCRIPTION:

This role will be responsible for leveraging advanced analytics to support our operational business partners, including Claims, Business Development, Customer Experience, and Marketing and for building new and evolving existing forecasting methodologies that provide insights that can be leveraged by leadership to support strategic planning and decision-making.

In this role, you will…

  • assumptions, drivers of observed variances, and rationale for future projections.
  • Analyze complex business challenges and provide insights and recommendations that improve processes and drive business outcomes.
  • Evaluate impacts of new initiatives and processes on operational performance that inform strategic planning.
  • Develop a deep understanding of the interconnectedness of all functions supported by the Operational Analytics and Reporting team and leverage these insights to drive increased consistency and transparency.
  • Build and enhance forecasting tools and develop robust monitoring and reporting frameworks to enable transparency around methodology, core

REQUIREMENTS

  • A minimum of 5 years of experience in both personal lines property and auto insurance and the supporting operational functions (Claims, Business Development, Customer Experience, etc).
  • Ability to write complex SQL queries for data extraction, manipulation, and analysis.
  • Experience in the end-to-end process of building, evaluating, and refining predictive models, with a focus on improving model performance and interpretability using Python or R.
  • Experience gathering requirements and building dashboards using Google LookerStudio.
  • Expertise in building and running staffing models that produce digestible outputs that can be leveraged by operational partners to understand existing team capacity and future headcount needs
  • Experience in developing forecasting tools and models and in building comprehensive monitoring frameworks that concisely highlight recent trends, drivers of deviations, and core assumptions impact the model.
  • Proven ability to drive results in fast-paced, high-growth environments while managing significant business complexity across a network of stakeholders.
  • Advanced organizational and time management skills, capable of working with high autonomy on complex initiatives while meeting deadlines.
  • Exceptional interpersonal skills with proven ability to build rapport and collaborate effectively with stakeholders at all levels.
  • CPCU or equivalent insurance designation preferred but not required.
Responsibilities

In this role, you will…

  • assumptions, drivers of observed variances, and rationale for future projections.
  • Analyze complex business challenges and provide insights and recommendations that improve processes and drive business outcomes.
  • Evaluate impacts of new initiatives and processes on operational performance that inform strategic planning.
  • Develop a deep understanding of the interconnectedness of all functions supported by the Operational Analytics and Reporting team and leverage these insights to drive increased consistency and transparency.
  • Build and enhance forecasting tools and develop robust monitoring and reporting frameworks to enable transparency around methodology, cor
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