ConsumerAffairs

• Perform ad hoc and recurring analyses that inform decision-making across marketing campaigns, channel performance, pricing, lead gen, and partner growth. • Provide analysis and insights for lifecycle and product teams to help drive the business forward, including business cases and scenario modeling for key initiatives. • Build presentation-ready deliverables summarizing key insights, trends, and recommendations. • Support leadership in preparing materials for partner meetings and internal reviews. • Develop a deep understanding of the lifecycle and product pipeline, including core audience segmentation and event-level data. • Conduct ongoing data analysis to identify when key functionality is not performing as intended and proactively flag or escalate issues. • Develop and maintain recurring dashboards and reports used by sales, marketing, and leadership. • Use AI tools (e.g., ChatGPT, CoPilot, Tableau GPT, etc., Claude, Cursor) to automate repetitive reporting workflows and assist with quick data exploration. • Partner with lifecycle and product teams to drive strategy forward by developing a deep understanding of OKRs, identifying key areas of opportunity, and delivering analytical support that moves the needle on critical initiatives.

Role Description The AI Native, Senior Strategic Analyst will help power the growth of ConsumerAffairs by delivering analytical support across our sales and marketing organizations. This AI-native individual will leverage advanced tools (including generative AI) to streamline insights, automate reporting, and uncover new opportunities to optimize business performance. This role sits at the intersection of business analytics, marketing strategy, and operations. The ideal candidate combines technical rigor with creative thinking, thrives in a fast-paced environment, and is obsessed with data integrity and storytelling. This is a critical, forward-facing position that will directly influence strategic decisions and shape the trajectory of key vertical goals and performance. - Strategic Analysis - Perform ad hoc and recurring analyses that inform decision-making across marketing campaigns, channel performance, pricing, lead gen, and partner growth. - Provide analysis and insights for lifecycle and product teams to help drive the business forward, including business cases and scenario modeling for key initiatives. - Presentation of Insights - Build presentation-ready deliverables summarizing key insights, trends, and recommendations. - Support leadership in preparing materials for partner meetings and internal reviews. - Data Aggregation & Quality - Develop a deep understanding of the lifecycle and product pipeline, including core audience segmentation and event-level data. - Conduct ongoing data analysis to identify when key functionality is not performing as intended and proactively flag or escalate issues. - Reporting & Dashboarding - Develop and maintain recurring dashboards and reports used by sales, marketing, and leadership. - Use AI tools (e.g., ChatGPT, CoPilot, Tableau GPT, etc., Claude, Cursor) to automate repetitive reporting workflows and assist with quick data exploration. - Project Support - Partner with lifecycle and product teams to drive strategy forward by developing a deep understanding of OKRs, identifying key areas of opportunity, and delivering analytical support that moves the needle on critical initiatives. Qualifications - Bachelor’s degree in Business, Economics, Statistics, Data Science, or a related field. - 2-4 years of experience in data analysis, business intelligence, or a related role. - Industry experience is beneficial. Requirements - Proficiency in data visualization tools (e.g., Tableau, Power BI) and advanced Excel skills. - Understanding of data warehouse and data mining, a plus. - Familiarity with BI technologies (e.g. Microsoft Power BI, Qlik). - Knowledge of SQL is required and Python is a plus. - Proven abilities to take initiative and be innovative. - Strong analytical and problem-solving skills, with the ability to translate data into actionable insights. - Demonstrated ability to leverage AI and generative AI tools (e.g., ChatGPT, Claude, CoPilot) to accelerate analysis, automate workflows, and surface actionable insights. Benefits - Health Care Plan (Medical, Dental & Vision) - Retirement Plan (401k) - Life Insurance (Basic, Voluntary & AD&D) - Paid Time Off (Vacation, Sick & Public Holidays) - Family Leave (Maternity, Paternity) - Short Term & Long Term Disability - Training & Development

• Supports Marketplace and Client Success by managing systems, data, and operational processes. • Responsible for ensuring business systems and initiatives are implemented effectively and consistently across the organization. • Focuses on aligning systems, data, and workflows to improve efficiency, support decision-making, and enable scalable growth. • Own and optimize core platforms (Salesforce, Retool, JIRA, etc.). • Lead the implementation and adoption of a core CRM and customer data platform. • Understand and help manage data flows across systems. • Evaluate and implement tools, automation, and integrations. • Analyze operational and sales data to identify trends and gaps. • Write and run queries (e.g., Snowflake). • Support and assist with the implementation of API integrations. • Troubleshoot system, integration, and data issues. • Collaborate with stakeholders to define scope and functional requirements. • Implement and scale processes designed by Business Ops leadership. • Identify inefficiencies and improve workflows. • Maintain clear documentation. • Own training and onboarding for systems and processes. • Drive adoption and consistent usage across teams. • Act as a go-to resource for troubleshooting. • Support sales and client success operations (pipeline visibility, process improvements). • Execute cross-functional initiatives across Product, Compliance, Sales, and Client Success. • Own project management for Business Ops initiatives. • Build and test prototypes or lightweight tools to support operations. • Support AI and automation initiatives. • Identify and resolve technical debt. • Improve system integrations and user experience flows.

The Business Operations & Sales Operations Specialist supports Marketplace and Client Success by managing systems, data, and operational processes. Reporting to the Sr. Manager of Marketplace Operations, this role is responsible for ensuring business systems and initiatives are implemented effectively and consistently across the organization. This position focuses on aligning systems, data, and workflows to improve efficiency, support decision-making, and enable scalable growth. Systems & Technical Ownership - Own and optimize core platforms (Salesforce, Retool, JIRA, etc.) - Lead the implementation and adoption of a core CRM and customer data platform - Understand and help manage data flows across systems - Evaluate and implement tools, automation, and integrations Data & Integrations - Analyze operational and sales data to identify trends and gaps - Write and run queries (e.g., Snowflake) - Support and assist with the implementation of API integrations - Troubleshoot system, integration, and data issues Process & Execution - Collaborate with stakeholders to define scope and functional requirements - Implement and scale processes designed by Business Ops leadership - Identify inefficiencies and improve workflows - Maintain clear documentation Enablement & Support - Own training and onboarding for systems and processes - Drive adoption and consistent usage across teams - Act as a go-to resource for troubleshooting Operations & Cross-Functional Support - Support sales and client success operations (pipeline visibility, process improvements) - Execute cross-functional initiatives across Product, Compliance, Sales, and Client Success - Own project management for Business Ops initiatives Automation & Infrastructure - Build and test prototypes or lightweight tools to support operations - Support AI and automation initiatives - Identify and resolve technical debt - Improve system integrations and user experience flows

• Develop and Maintain: Design, build, test, and maintain back-end systems and APIs to ensure scalability, reliability, and performance. • Collaborate: Work closely with front-end engineers, product managers, and designers to implement features and ensure seamless integration across the stack. • Write High-Quality Code: Deliver clean, efficient, and well-documented code that aligns with best practices and coding standards. • Database Management: Design and optimize database schemas, queries, and data storage solutions to support application performance. • Debug and Troubleshoot: Identify and resolve back-end issues promptly to maintain system reliability. • Code Reviews: Participate in peer code reviews, providing constructive feedback to ensure code quality and maintainability.

The Software Engineer has a sufficient understanding of the product and purpose of their team and is meaningfully involved in discussions related to feature implementation, technical design, risk, and delivery estimates.  They are capable of looking multiple sprints ahead to identify dependencies or preparatory work is required to keep the team unblocked.  They are able to context switch between concurrent streams of work, e.g. major pivots in prioritization or emergent live issues, as needed.  They are able to operate within a large codebase and understand its structure, overall system architecture, as well as its connection to external processes (e.g. CI/CD, automated testing, non production environments, linters, etc.), and it builds with AI tools as a first instinct, not an afterthought.  They can fluently discuss the current health of the current base particularly as it pertains to trade offs between technical debt vs new feature development as well as dependencies that may influence time estimates.  You'll work across a multi-service architecture spanning a Django/Python backend, React frontends, and a shared component library. You'll own features end-to-end — from database schema to UI component. Responsibilities include: - Develop and Maintain: Design, build, test, and maintain back-end systems and APIs to ensure scalability, reliability, and performance. - Collaborate: Work closely with front-end engineers, product managers, and designers to implement features and ensure seamless integration across the stack. - Write High-Quality Code: Deliver clean, efficient, and well-documented code that aligns with best practices and coding standards. - Database Management: Design and optimize database schemas, queries, and data storage solutions to support application performance. - Debug and Troubleshoot: Identify and resolve back-end issues promptly to maintain system reliability. - Code Reviews: Participate in peer code reviews, providing constructive feedback to ensure code quality and maintainability.

• The Data Engineer is responsible for monitoring, expanding, and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. • Develop, test, and maintain data pipelines to support data integration and processing. • Assist in the design and implementation of data models and data warehousing solutions. • Collaborate with data scientists and analysts to understand data requirements and ensure data is accessible and reliable. • Monitor data pipelines and systems, troubleshooting issues as they arise. • Work with senior data engineers to optimize data processes and infrastructure. • Ensure data quality and integrity through regular audits and validations. • Contribute to the documentation of data processes and best practices

• Support the execution of growth marketing campaigns across channels (paid, email, SEO, social, etc.) • Assist in planning and launching A/B tests to improve conversion and engagement • Analyze campaign performance and pull insights to guide next steps • Help manage and optimize paid advertising campaigns (Google, Meta, etc.) • Use AI tools to accelerate research, content creation, analysis, and experimentation • Collaborate with content, product, and design teams to bring campaigns to life • Track key growth metrics and maintain dashboards/reporting • Research competitors, trends, and new growth opportunities • Contribute ideas—this role is as much about thinking as it is doing

The Data Engineer is responsible for monitoring, expanding, and optimizing our data and data pipeline architecture, as well as optimizing data flow and collection for cross functional teams. The ideal candidate is an experienced data pipeline builder and data wrangler who enjoys optimizing data systems as well as building them from the ground up. The Data Engineer supports our solution architects, data analysts, and data scientists on data initiatives and will ensure optimal data delivery architecture is consistent throughout ongoing projects. They must be self-directed and comfortable supporting the data needs of multiple teams, systems and products. Candidates should have education and/or experience in data modeling, requirements analysis, and best practices in analytics. Experience with BI applications is a definite plus. - Develop, test, and maintain data pipelines to support data integration and processing. - Assist in the design and implementation of data models and data warehousing solutions. - Collaborate with data scientists and analysts to understand data requirements and ensure data is accessible and reliable. - Monitor data pipelines and systems, troubleshooting issues as they arise. - Work with senior data engineers to optimize data processes and infrastructure. - Ensure data quality and integrity through regular audits and validations. - Contribute to the documentation of data processes and best practices

We’re looking for a curious, data-driven, and AI-native Associate Growth Marketer to help us scale customer acquisition and engagement. This is an ideal role for someone early in their career (or just out of college) who is excited to learn fast, experiment often, and make a measurable impact. You’ll work across channels—paid media, email, SEO, partnerships, and more—helping us test ideas, analyze performance, and optimize campaigns that drive growth. You’ll also be expected to leverage AI tools to move faster, uncover insights, and continuously improve how we work. **ONLY LOCAL CANDIDATES TO ST. LOUIS WILL BE CONSIDERED. Responsibilities include: - Support the execution of growth marketing campaigns across channels (paid, email, SEO, social, etc.) - Assist in planning and launching A/B tests to improve conversion and engagement - Analyze campaign performance and pull insights to guide next steps - Help manage and optimize paid advertising campaigns (Google, Meta, etc.) - Use AI tools to accelerate research, content creation, analysis, and experimentation - Collaborate with content, product, and design teams to bring campaigns to life - Track key growth metrics and maintain dashboards/reporting - Research competitors, trends, and new growth opportunities - Contribute ideas—this role is as much about thinking as it is doing