• Develop and maintain a variety of dashboards, scorecards, and reporting tools (standard, ongoing, ad-hoc) that deliver real-time insights and data visualization on staffing trends, demand forecasting and operational performance • Manage SimpliFi's survey and evaluation data for all performance and assignment completion evaluations across clients • Develop and implement a data management strategy to ensure data accuracy, accessibility, relevance, and consistency across systems • Develop, maintain, and manage a robust menu of scheduled reporting and analysis to inform business decision-making • Work closely with Operations and Client Strategy to develop analytics tools that align with business objectives; apply industry knowledge to interpret data and improve performance • Develop, implement, and maintain a system for keeping data/reporting SOPs current • Lead and/or participate in data and analytics projects by executing the entire data analytics life cycle (e.g., including meeting with business stakeholder, gathering requirements/discovery, data preparation/cleaning, building reports visualizations, communicating results, operationalization) • Continually explore and implement ways to improve/streamline current data gathering and reporting processes for maximum efficiency and scalability • Serve as an advisory resource for other team members by providing guidance and assistance on data and analytics-related interactions

• Translate questions into insight. Partner and embed with cross-functional teams to turn ambiguous business and operational questions into clear, useful analytical outputs. You will quickly assimilate subject matter expertise across brokerage operations, ledger systems, and compliance. • Build and own analytics data models. Write clean, maintainable SQL against PostgreSQL, Trino, and Apache Iceberg to power core financial metrics, dashboards, and analytical workflows. • Build and iterate on metrics and tables. Build and iterate on metrics and tables using dbt, surfacing them through dashboards in Metabase to help teams understand transaction volumes, revenue streams, and system performance over time. • Explore data deeply to answer open-ended questions. Use SQL as your primary tool, with Python in a notebook environment like Jupyter when helpful, to investigate trends, anomalies, complex profit and loss (P&L) calculations, and trading behaviors, connecting analyses back to real business questions. • Help operationalize data. Identify structural opportunities for standardizing core business entities, proactively transitioning ad-hoc analytical requests into intuitive, user-friendly self-serve environments. • Assist with reporting capabilities and streamline report automation, including servicing requests in a timely manner, cataloguing recurring reports, and driving conversations around standardization and productization of data reports.

Role Description We're looking for a Data & Analytics Product Owner – Finance to join our Enterprise Data Intelligence Solutions (EDIS) team and drive analytics delivery across our Finance & Accounting organization. In this role, you'll own the finance-domain product backlog, lead agile delivery of BI, data science, and AI solutions spanning FP&A, GL, P2P, PSA, CLM, and more, and serve as the day-to-day bridge between Finance & Accounting stakeholders and our analytics development team. A key focus will be championing self-service BI and AI/BI adoption across F&A, leveraging a newly completed enterprise semantic model as the trusted data foundation. The ideal candidate brings strong knowledge of financial processes and ERP systems, proven Product Owner experience in a data or analytics environment, and the ability to navigate complex cross-functional stakeholder relationships. Familiarity with Workday Financials is a plus. The Data & Analytics Product Owner – Finance, Senior Associate leads agile delivery of finance-domain data products across Financial Planning & Analysis, General Ledger, Procure-to-Pay, Professional Services, Contract Lifecycle Management, and related functional areas. Working within a defined product vision and roadmap, this role translates finance business requirements into actionable delivery — owning the backlog, driving sprint execution, and championing self-service BI adoption across the Finance & Accounting organization. Responsibilities - Backlog Ownership & Delivery - Owns and maintains the finance-domain product backlog, ensuring stories are well-defined, prioritized, and ready for development. - Translates finance business requirements into user stories, features, and acceptance criteria. - Leads backlog refinement, sprint planning, and story elaboration sessions. - Makes day-to-day decisions on scope and priorities to maintain team velocity and deliver value. - Participates actively in daily stand-ups, sprint reviews, and retrospectives. - Collaborates with Scrum Master to remove impediments and support team performance. - Finance Domain Expertise - Maintains deep understanding of transactional systems and financial data across the Finance domain. - Applies knowledge of financial processes — including close cycles, financial reporting, and ERP workflows — to inform requirements and delivery decisions. - Navigates the intersection of ERP reporting and BI analytics, understanding which solutions are owned by the analytics team, the Workday/ERP team, or require cross-functional collaboration. - Ensures finance data products adhere to relevant financial data standards and governance requirements. - Stakeholder Engagement - Acts as the primary day-to-day liaison between Finance & Accounting stakeholders and the analytics development team. - Conducts regular working sessions with F&A operational contacts to gather requirements, validate solutions, and provide delivery updates. - Facilitates alignment between technical capabilities and finance business needs. - Communicates clearly across technical and non-technical audiences. - Finance Data Product Development - Guides development of finance analytics solutions including dashboards, reports, and self-service BI tools spanning P2P, PSA, CLM, GL, Payroll, Tax, Treasury, Revenue, and FP&A. - Champions adoption of self-service Power BI capabilities within the Finance & Accounting organization, leveraging the enterprise semantic model as the trusted foundation. - Drives data literacy initiatives that enable finance stakeholders to independently access and interpret data. - Collaborates with data engineers and architects on data modeling and technical design. - Applies best practices in data visualization, financial reporting, and analytics. - Quality & Delivery - Defines acceptance criteria for features, including data quality rules and financial accuracy standards. - Reviews and accepts completed work to ensure alignment with requirements and quality standards. - Monitors product performance metrics and user adoption across finance stakeholders. - Contributes to continuous improvement in product features and team processes. Qualifications - 4-6 years of experience as a Product Owner, business analyst, or related role in data/analytics domains. - Strong understanding of financial processes and transactional systems across one or more finance domains (FP&A, P2P, GL, Revenue). - Familiarity with ERP platforms and how finance data flows between ERP systems and analytics layers. - Proven track record of delivering data products in an Agile/Scrum environment. - Experience with modern BI and analytics platforms (Power BI preferred; Tableau, Looker, or similar also valued). - Understanding of data engineering principles, data warehousing, and ETL/ELT processes. - Strong stakeholder engagement and communication skills. - Ability to translate complex financial concepts into data requirements and vice versa. - Strong experience writing user stories, acceptance criteria, and maintaining product backlogs. - Demonstrated ability to make prioritization decisions and manage trade-offs. Preferred - Experience with Workday Financials (HCM, FIN, or PSA modules). - Certified Scrum Product Owner (CSPO) or similar agile certification. - SQL proficiency and hands-on experience querying financial datasets. - Familiarity with data governance, data quality frameworks, and financial data standards. - Understanding of SOX-relevant data workflows and financial controls. - Experience with cloud data platforms (AWS, Azure, or GCP). - Knowledge of dimensional modeling and semantic layer concepts. - Background in finance, accounting, or financial systems consulting. Key Competencies - Deep finance domain knowledge paired with analytics fluency. - Execution-focused with strong delivery discipline. - Clear and effective communicator across technical and finance audiences. - Collaborative approach to working within a product team structure. - Data-driven decision making with outcomes focus. - Champion mindset for self-service analytics and data literacy. - Adaptability in environments where ERP and analytics responsibilities intersect. Compensation The estimated base salary for this job is $100,000 - $135,000. The range represents a good faith estimate of the range that Huron reasonably expects to pay for this job at the time of the job posting. The actual salary paid to an individual will vary based on multiple factors, including but not limited to specific skills or certifications, years of experience, market changes, and required travel. This job is also eligible to participate in Huron’s annual incentive compensation program, which reflects Huron’s pay for performance philosophy. Inclusive of annual incentive compensation opportunity, the total estimated compensation range for this job is $112,000 - $159,300. The job is also eligible to participate in Huron’s benefit plans which include medical, dental and vision coverage and other wellness programs. The salary range information provided is in accordance with applicable state and local laws regarding salary transparency that are currently in effect and may be implemented in the future. Position Level Senior Associate Country United States of America

Role Description The future is bright for the Porch Group, and we’d love for you to be a part of it as our Insurance Data Analyst. In this role, you will partner directly with Product Managers and business leaders across Porch’s insurance platform to transform complex insurance data into actionable insights that drive profitable growth. You will support critical decisions across pricing, underwriting, retention, and competitive intelligence—areas that sit at the very core of how Porch wins in the homeowners insurance market. Your work will span BigQuery, SQL Server, and Power BI, building the analytical infrastructure and dashboards that keep key stakeholders informed and ahead of the curve. If you thrive on solving ambiguous problems autonomously, communicating findings with clarity, and making a measurable impact on a fast-growing insurance business, this is the role for you. What You Will Do As An Insurance Data Analyst - Write and maintain SQL queries across BigQuery and SQL Server to support recurring analysis and ad hoc business requests. - Build and maintain Power BI dashboards tracking key insurance KPIs including quotes, binds, retention, premium, and business mix. - Perform descriptive and diagnostic analyses to identify trends, drivers, and anomalies across the insurance portfolio. - Support measurement of product changes using cohorts, pre/post analysis, and trend analysis to quantify business impact. - Assist with competitive intelligence by gathering, organizing, and summarizing competitor data to inform pricing and product strategy. - Ensure data accuracy and integrity through QA checks, reconciliations, and thorough documentation of methodology and sources. - Work autonomously on complex, cross-functional issues with mid-term (12+ month) implications, proactively identifying problems and opportunities. Qualifications - Bachelor’s degree in Business, Finance, Economics, Statistics, Actuarial Science, or a related field. - 3+ years of professional experience, including 1+ years in personal lines insurance in data analysis, actuarial, product analytics, or related roles. - Strong SQL skills with hands-on experience in BigQuery and/or SQL Server. - Advanced experience building and maintaining dashboards and reports in Power BI. - Exceptional Microsoft Office skills, especially Excel, with strong attention to detail. - Demonstrated ability to work on complex issues with mid-term or broader cross-functional implications, exercising wide latitude in determining objectives and approaches. - Self-starter with a track record of working autonomously and proactively identifying problems before they escalate. Preferred - Proficiency in Python or R for analysis or automation. - Familiarity using AI tools to accelerate research and analysis. Requirements - The application window for this position is anticipated to close in 2 weeks (10 business days) from 6/12/2025. - Homeowners of America does not consider applicants from the following states or jurisdictions for Remote positions: Alabama, Alaska, Arkansas, Colorado, Connecticut, Delaware, the District of Columbia, Hawaii, Maryland, Mississippi, Montana, Nebraska, Nevada, New Hampshire, North Dakota, Utah, Vermont, Virginia, West Virginia, or Wyoming. Benefits - Pay Range*: $88,500 - $123,900 annually. - Eligible to receive long-term incentive awards, subject to program guidelines and approvals. - Three (3) Medical plan options, two (2) Dental plan options, and a Vision plan. - Voluntary Critical Illness, Hospital Indemnity, and Accident plans. - Pre-tax savings options including a partially employer funded Health Savings Account and employee Flexible Savings Accounts. - Company paid Basic Life and AD&D, Short and Long-Term Disability benefits. - Voluntary Life and AD&D plans available. - Traditional and Roth 401(k) plans with a discretionary employer match. - Supportlinc for wellbeing, providing access to guided meditation, mental health coaching, and online resources. - LifeBalance for year-round discounts on various services. - Wellness programs including flexible paid vacation, company-paid holidays, paid sick time, paid parental leave, identity theft program, travel assistance, and fitness discounts.