Senior Analyst, Pricing & Product

Posted 2 Days Ago
Hiring Remotely in United States
Remote
90K-110K Annually
Senior level
Fintech • Insurance • Machine Learning • Other • Analytics • Automation
Safety First, Then Pie Insurance
The Role
The Senior Analyst, Pricing & Product role involves conducting competitive and market pricing analysis for commercial lines, establishing metrics for a new product line, and monitoring pricing competitiveness over time. This position requires data manipulation and the use of analytical tools to support product profitability and sales growth.
Summary Generated by Built In

Pie's mission is to empower small businesses to thrive by making commercial insurance affordable and as easy as pie. We leverage technology to transform how small businesses buy and experience commercial insurance.

 

Like our small business customers, we are a diverse team of builders, dreamers, and entrepreneurs who are driven by core values and operating principles that guide every decision we make.

Pie’s Pricing & Product Analyst position is responsible for competitive analysis, and researching market pricing and pricing levels to ensure profitability  for commercial lines. This role will establish metrics, pricing and models of a new commercial auto product line for Pie Insurance. The Pricing & Product  Analyst is also responsible for building and developing product lines while managing the performance  through monitoring the market to ensure the competitiveness over the market pricing over time. Pie is an incredibly collaborative team with constant communication. You will work across teams and collaborate with stakeholders and team members. Great communication and coordination skills are key to your success.  This person will be responsible for connecting with people in all levels of the organization frequently to collaborate on reporting and accounting functions and ensure data is accurate. 

How You’ll Do It

Responsible for competitive analysis, and researching market pricing and pricing levels to ensure profitability  for commercial lines. Establishing metrics, pricing and models of a new commercial auto product line for an organization.  Building and developing product lines.  Monitoring the market to ensure the competitiveness over the market pricing over time. Maintaining the product line for profitability and sustainability and continuous improvement monitoring. 

Data Analytics, Data Manipulation

  • Compare internal pricing against competitor pricing to determine market competitiveness.
  • Analyze funnel metrics to identify underserved markets and industries for growth opportunities.
  • Use data to work through Snowflake and writing SQL queries and manipulate data sets to achieve certain results.
  • Use online resources - such as competitor filings, subscriber services, and service offering tools - for gathering and developing information.
  • Support ongoing process of filing new programs within individual states.
  • Build, monitor, and distribute BI tools for Underwriting and Pricing leads that aid in goal tracking and execution.
  • Monitor portfolio performance as it relates to growth, retention, and profitability to make well informed pricing segmentation changes. 

Team Resource

  • Highlighting areas of concern and bringing forward to senior management for review.
  • Effectively communicate information from large data sets and be able to explain the why behind the information.
  • Directly supports all functions of the commercial auto team with data analysis.
  • Networks and collaborates on ideas and challenges with business units such as Business Development, Product, and Data Engineering.

The Right Stuff

  • Bachelor’s Degree is required. Master’s Degree may be considered in lieu of required work experience.
  • 5 years of analytical work experience with a Bachelor’s Degree in quantitative field of study.  OR  6+ years of analytical work experience with a Bachelor’s Degree in an unrelated field of study.
  • Background in statistics and mathematics, statistics or economics is highly desirable. 
  • Demonstrated work experience  in P&C insurance- specifically personal or commercial auto lines  is highly preferred.
  • Intermediate knowledge of using SAS, SQL, snowflake or other data query tools.
  • Advanced Excel skills are required (formulas, importing large data sets, pivots, macros and automation).  
  • Sense of creativity and strategic thinking about how analytics relate to business outcomes now and into the future. Likes variety and not repetition, but can build repetition in process for scalability purposes.
  • An understanding of the iterative workflow process to work collaboratively on global tasks.
  • Problem solving skills to work through increasingly complex and nuanced problems like  numerical issues with data sets. Can apply agile thinking. 
  • Comfortable with ambiguity and self starter.
  • Attention to detail and ability to perform reasonability checks; self-check own data models. A high degree of accuracy and attention to specifics is required.
  • Data mining and analysis skills to provide relevant data points and analytics. 
  • Strong written and verbal communication skills. Proven ability to effectively present technical concepts to non-technical individuals within and outside the organization.

Base Compensation Range

$90,000$110,000 USD

Compensation & Benefits 
  • Competitive cash compensation
  • A piece of the pie (in the form of equity)
  • Comprehensive health plans
  • Generous PTO
  • Future focused 401k match
  • Generous parental and caregiver leave
  • Our core values are more than just a poster on the wall; they’re tangibly reflected in our work 

Our goal is to make all aspects of working with us as easy as pie. That includes our offer process. When we’ve identified a talented individual who we’d like to be a Pie-oneer , we work hard to present an equitable and fair offer. We look at the candidate’s knowledge, skills, and experience, along with their compensation expectations and align that with our company equity processes to determine our offer ranges. 

Each year Pie reviews company performance and may grant discretionary bonuses to eligible team members.

Location Information 

Unless otherwise specified, this role has the option to be hybrid or remote. Hybrid work locations provide team members with the flexibility of working partially from our Denver office and from home. Remote team members must live and work in the United States* (*territories excluded), and have access to reliable, high-speed internet.

Additional Information

Pie Insurance is an equal opportunity employer. We do not discriminate on the basis of race, color, religion, sex, sexual orientation, gender identity, marital status, age, disability, national or ethnic origin, military service status, citizenship, or other protected characteristic.

Pie Insurance participates in the E-Verify program. Please click here, here and here for more information.

Pie Insurance is committed to protecting your personal data. Please review our Privacy Policy.  

Safety First: Pie Insurance is committed to your security during the recruitment process. We will never ask you for credit card information or ask you to purchase any equipment during our interview or onboarding process.

Pie Insurance Announces $315 Million Series D Round of Funding

Built In honors Pie in its 2024 Best Places to Work Awards

Pie Insurance Named a Leading Place to Work in Colorado

 

#LI-REMOTE

#BI-REMOTE

Top Skills

Excel
SAS
Snowflake
SQL

What the Team is Saying

Elizabeth
Francesca
The Company
Denver, CO
400 Employees
Remote Workplace
Year Founded: 2017

What We Do

Pie is transforming small business insurance. Our team of seasoned technology and insurance experts are on a mission to empower small businesses to thrive by making insurance affordable and as easy as pie.

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Pie Insurance Offices

Remote Workspace

Employees work remotely.

As a remote first company, Pie supports our Pie-oneers in working in a U.S. location that’s best for them. Our Denver, CO office is available for larger team events and is open for local employees to use whenever they want.

Typical time on-site: None
Denver, CO

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