Insurance Product Analyst IV, Product Intelligence - Remote

CSAA Insurance Group, a AAA InsurerWashington, NV
$110,700 - $147,500Remote

About The Position

CSAA Insurance Group (CSAA IG), a AAA insurer, is one of the leading personal lines property and casualty insurance groups in the United States. Here, every employee shapes our mission. We build innovative, human-centered solutions that help AAA members prevent, prepare for, and recover from life's uncertainties. You will join a collaborative, inclusive culture where your strengths have room to grow and your ideas can drive real impact. Step into a role where you can contribute to our shared success through meaningful work. We are actively hiring for an Insurance Product Analyst IV, Product Intelligence! Your Role: As an Insurance Product Analyst IV, you'll play a key role in driving profitable growth and shaping the future of our personal lines insurance products and digital experiences. As a trusted thought partner to CSAA’s Digital Experience team, you'll combine deep personal insurance knowledge with digital analytics and strategic problem solving to deliver insights, influence decisions, and improve customer and business outcomes.

Requirements

  • Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent combination of education and experience.
  • 6+ years of analytical experience in insurance or related industries required; experience across multiple functions is preferred.
  • Superior research, statistical, analytical, processing and mathematical skills with ability to structure and conduct analyses.
  • Adaptability and the capability of multitasking and strong time management.
  • Ability to make effective formal presentations.
  • Strong oral and written communication skills.
  • Proficiency in SQL, Excel and Business Intelligence/Data Visualization Tools (such as Power BI, Tableau, Looker etc.) required; experience in Snowflake, Python, or R strongly preferred.
  • Ability to work in a team environment.
  • Ability to coach and mentor co-workers and give feedback as required.
  • Superior knowledge of insurance, accounting and rate-making concepts.
  • Extensive experience and advanced skills in Microsoft Office Suite, SAS, SQL, Visual Basic and various structured analysis and design techniques.
  • High school diploma required. Related bachelor’s degree or higher may be in lieu of 2 years experience.
  • 6+ years of analytical experience in related industry; multiple functions experience is preferred.

Nice To Haves

  • Master’s degree preferred.
  • 5+ years of experience in product management, financial analysis, or a related insurance or data analytics role.
  • Experience analyzing digital customer behavior using tools such as Mixpanel, Pendo, or similar platforms to identify friction points, optimize conversion, and improve customer experience outcomes.
  • Proven ability to analyze and interpret complex data and translate findings into actionable business insights.
  • Strong business-acumen and understanding of personal line insurance products, with the ability to connect data insights to strategic objectives.
  • Excellent communication and presentation skills, with the ability to tailor messaging to a variety of audiences.
  • Demonstrated ability to work collaboratively across functions, manage multiple priorities, and deliver results in a fast-paced environment.
  • A continuous improvement mindset – proactive, curious, detail-oriented, and motivated to innovate.
  • Actively shapes our company culture (e.g., participating in employee resource groups, volunteering, etc.).
  • Lives into cultural norms (e.g., willing to have cameras when it matters: helping onboard new team members, building relationships, etc.).
  • Travels as needed for role, including divisional / team meetings and other in-person meetings.
  • Fulfills business needs, which may include investing extra time, helping other teams, etc.
  • Bachelor's degree in mathematics, business, statistics, economics, computer science or equivalent combination of education and experience.
  • Advanced degree in related field and/or CPCU designation.
  • 0 – 2 years mentoring experience.

Responsibilities

  • Act as a thought partner to product managers and experience leaders, proactively identifying opportunities to optimize digital experiences through experimentation, behavioral analytics, and data-driven decision making.
  • Performs moderately complex analysis to develop actionable and innovative recommendations that support growth and profitability targets.
  • Understands, monitors and communicates overall performance, trends and strategic insights of digital products that support personal lines auto and property products.
  • Proactively assesses market risks and opportunities, evaluating multiple possible solutions, and using data-based insights to influence the decisions of executive leadership.
  • Uses analytical tools such as SQL, Microsoft Excel, Essbase, Snowflake and PowerBI to access and analyze large amounts of data.
  • Supports the development of business-cases for new initiatives by synthesizing data, modeling scenarios, and evaluating financial impacts.
  • Applies AI tools and techniques to increase analytical efficiency, automate routine work, and develop scalable solutions that extend the impact of analytics beyond reporting and into proactive business decision support.
  • Prepares and delivers clear, compelling presentations and reports tailored to diverse audiences, including leadership, regional partners, and external team members.
  • Finds opportunities to streamline processes and improve analytical efficiency through automation, enhanced tools, or data governance improvements.
  • Works cross-functionally across the organization, including with Actuarial, Finance, State Product Management, Operations and others, to support the development, design, and implementation of new products, programs, and processes.
  • This role may require occasional travel (<10%) to meet with internal teams or cross-functional team members.

Benefits

  • 401(k) with a company match
  • Annual discretionary bonus eligibility
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