Lead and motivate a team to deliver advanced financial analytics, provide strategic financial solutions to complex business problems, and serve as a trusted advisor to senior management on financial issues.

Role Description The Product Analyst is a key support role within the product management team. They will be responsible for the product management team’s intake, assessment, tracking, and organization of requests and enhancements to Allied’s product portfolio. They’ll work closely with product managers and leadership to help maintain momentum and allow the team to deliver on key strategies. This role will also assist the team with research, documentation, and may fill in for others to help support our growing team. Essential Functions - Identify, assess, and track the progress of product-related requests. - Collaborate closely with leadership and other members of the product management team on team priorities. - Research and gather information necessary to assist with responses to product inquiries. - Assist in creating, updating, and maintaining product documentation. - Work with product leadership to establish structure for product documentation and organization of product portfolio. - Assist in producing and maintaining product training materials, including external user guides, product descriptions, and internal reference guides. - Support coordination with marketing on the creation of product collateral. - Collaborate and develop relationships with internal teams including operations, sales, account management, marketing, and others. - Help assess new product opportunities and partnerships, as needed. - Support product management team with initiatives and special projects, as needed. - Perform other related duties as assigned. Qualifications - Bachelor’s degree or equivalent work experience required. - At least 3 years of relevant experience in product/portfolio management or similar role. - Project management skills a plus. - Prior experience in health insurance industry strongly preferred. - Excellent verbal and written communication skills. - Excellent organizational skills and attention to detail. - Ability to prioritize multiple initiatives. - Ability to work independently and take ownership of tasks and projects. - Proficient with Microsoft Office Suite or related software. Physical Demands This is a standard desk role requiring extended sitting and computer work. Work Environment Remote Benefits - Medical, Dental, Vision, Life and Disability Insurance - Generous Paid Time Off - Tuition Reimbursement - EAP - Technology Stipend

• Own experimentation and test analytics: Design, implement, and analyze A/B and multivariate tests across the product experience, including funnel optimizations to new feature launches • Build and maintain core product & business dashboards: Develop, automate, and continuously improve dashboards and reporting that track key product, funnel, and customer metrics; make it easy for PMs and leaders to self-serve insights and monitor performance. • Lead product analytics tooling and instrumentation: Own the roadmap, governance, and best practices for our product analytics stack (event schemas, tracking plans, data quality); partner closely with Product and Engineering to ensure every new feature ships with the right instrumentation and metrics. • Create and evolve a customer 360 view: Bring together product usage, marketing, servicing data into a holistic view of the customer journey; identify segments, behaviors, and opportunities that drive acquisition, conversion, engagement, and long-term value. • Translate customer feedback & data into actionable insights: Combine quantitative analysis (funnels, experiments) with qualitative signals (surveys, NPS, interviews, customer service calls and tickets) to surface insights and recommendations that shape product strategy and prioritization. • Own lightweight customer research programs: Lead customer surveys, NPS programs, and usability interview syntheses; conduct competitive and market analysis; translate qualitative findings into product recommendations that complement quantitative work • Leverage AI tools to accelerate analysis and insight generation: Actively use AI-powered tools (e.g.- LLM-assisted data exploration, AI-enhanced analytics platforms) to increase the speed and depth of analysis; help the team develop frameworks for where AI can improve experimentation, personalization, and product decisions

• This position will focus on product data and business intelligence and will support a wide range of business initiatives including analytics, reporting, product filings and the development of new product capabilities in collaboration with various rating Platforms. • The position will work closely with multiple business and IT areas including agency operations, the business intelligence community, representatives from individual business units and enterprise applications. • Ability to work on complex problems / projects where analysis of situations or data requires an in-depth evaluation of multiple factors. • Support product management by delivering critical analytical insights; research, conduct high-quality analyses, reports, and communicate key product performance metrics. • Research key business data using statistical analysis and data mining to understand historical patterns that can be utilized to improve business performance. • Develops the programming of scalable and flexible data reporting and analysis solutions to fulfill the needs of the team. • Monitors product performance/results in coordination with actuarial, loss analytic and performance analytics. • Monitor the marketplace for emerging opportunities and identify competitor and industrial changes impacting the effectiveness of the current product offers and pricing position. • Work with business stakeholders to provide technical and analytical leadership, controlling aspects of the development of project deliverables including cross-functional program management, data gathering and manipulation, analysis and modelling, and communication of insights and recommendations. • Provides data mining, pattern and root cause analyses to help business units understand areas of untapped opportunity. • Find areas of weakness and opportunity based on book performance. • Formulates an analytic data-driven approach to address business questions around product, pricing, processes and/or underwriting rules to take advantage of opportunities and strengthen weaknesses. • Works with product management and actuaries in developing and filing class, rate and / or form filings. • Provide, create, and develop automated technical solutions to complex manually intensive processes via Microsoft tools. • Provide guidance, collaboration, and execution of advanced data analysis. • Enhance/maintain departmental data/databases. • Participate in testing and QA work of various inputs to and outputs from the data warehouse and Business Intelligence application(s).