AGDATA, LP

• The Market Intelligence (MI) Data Analyst supports the delivery, quality, and scalability of AGDATA’s Market Intelligence products and services. • Validate and manage data, maintaining dashboards and reports. • Communicate with internal and external stakeholders and support MI workflows that enable timely, accurate insights for internal teams and clients. • Inspect, validate, cleanse, and transform Market Intelligence data to ensure accuracy and completeness. • Perform ongoing data quality checks across product attributes, metrics, and reference data. • Investigate and resolve data discrepancies in partnership with MI stakeholders. • Own building, refreshing, and maintaining recurring and ad-hoc MI dashboards and reports. • Ensure consistent definitions, metrics, and visuals across MI reporting. • Translate data into clear insights that support business and product decisions. • Support MI workflows such as product attribute management, data validation and approvals, and user access management. • Assist with onboarding, documentation, and support processes related to MI tools. • Partner with Market Intelligence, Product, Client Engagement, and Operations teams. • Respond to data and reporting requests from leadership and internal stakeholders. • Clearly communicate findings, risks, and dependencies to non-technical audiences. • Engage professionally with internal and external customers, ensuring clear, timely, and effective communication to support a positive customer experience. • Identify manual or inefficient MI data processes and recommend improvements. • Support automation and tooling initiatives to enable scale. • Contribute to documentation, standards, and best practices for MI analytics.

• Own roadmap initiatives from definition through delivery, including enhancements, defects, and enablement, while aligning execution to the broader product vision. • Define epics, user stories, and acceptance criteria that clearly capture user needs, business value, assumptions, and scope. • Prioritize the backlog to maximize business value while balancing roadmap goals, client commitments, technical constraints, and delivery risk. • Partner with the Product Manager to turn solution strategy into clear priorities and delivery plans. • Lead cross-functional alignment across Product, Engineering, Architecture, QA, Operations, and customer-facing teams to reduce ambiguity, manage dependencies, and remove blockers. • Lead refinement sessions to ensure Engineering understands scope, intent, dependencies, and acceptance criteria. • Support validation, defect triage, and release readiness to help ensure quality delivery and smooth handoff into production and support. • Gather user feedback and usage insights to inform prioritization and improve adoption. • Conduct workshops, current-state analysis, and workflow mapping to identify pain points and validate opportunities. • Partner with Design, Architecture, and Engineering to validate workflows, prototypes, and future-state solutions before development begins. • When customers fund roadmap work to accelerate priority, partner with customers, Solutions Architects, Engagement Managers, Sales, and Product Management to clarify requirements, align acceptance criteria, and support execution. • Track product performance across adoption, stability, support trends, and business impact.

• Collaborate with Sales to understand business needs and create a vision for new solutions that provide enhanced value, effectively communicating this vision to clients • Facilitate deep dives with clients to understand their pain points and functional business requirements • Leading software and field demonstrations, training and educational meetings • Build compelling value propositions in conjunction with Sales that clearly articulates how the proposed solution addresses the client’s specific business needs and challenges • Ensure sufficient documentation of new opportunities to the operational and development teams, enabling efficient support of the solution • Collaborate with cross functional teams to ensure optimal integration of new solutions into existing operational workflows • Identify, summarize and communicate business requirements for enhanced solutions to Product Management, with the goal of informing future solutions

• Define epics, user stories, and acceptance criteria articulating user intent and business value • Own and prioritize the backlog for continual delivery • Partner with stakeholders to define incorporation of activation metrics • Collaborate with application engineering to deliver analytics capabilities • Work with data/analytics engineers and scientists to develop and evaluate hypotheses • Translate analytical complexity into user-friendly product decisions • Act as a change agent moving teams from static reporting to embedded insights • Champion experimentation and learning in how analytics are delivered and consumed • Advocate for intuitive UX and clear analytical storytelling based on user feedback

• Become an expert in AGDATA’s services and solutions • Manage high-volume support via phone, email, and Jira • Provide timely updates and resolution statuses to leadership • Escalate complex issues to appropriate teams • Suggest improvements to enhance customer experience • Collaborate with a dynamic team of analysts • Grow your career—38% of our analysts were promoted in 2024!

• Contribute to the design of application components and services within AGDATA’s modern .NET ecosystem. • Assist with cloud native design, including serverless workloads (e.g., Azure Functions) and containerized services, under the guidance of senior architects. • Help align application designs with broader solution architecture standards and reference architectures. • Produce concise architecture artifacts—diagrams, lightweight Architecture Decision Records (ADRs), and design notes—to facilitate shared understanding. • Participate in architecture and design reviews; capture feedback and incorporate improvements. • Collaborate with engineering teams to shape nonfunctional requirements (NFRs) such as performance, reliability, observability, security, and cost efficiency. • Apply secure design and development practices (identity and access, least privilege, common vulnerability awareness) and support threat modeling discussions. • Contribute to integration patterns, data flows, and cross-system interactions (REST and event driven). • Participate in code reviews with a focus on maintainability, reliability, performance, scalability, and security. • Provide hands-on prototyping and coding for complex or high-impact technical problems. • Work closely with product owners, engineering leads, developers, and DevOps to support iterative delivery and measurable outcomes. • Document patterns and practices; share learnings in brownbags, design sessions, or internal forums. • Adopt and encourage effective use of modern tooling (testing, CI/CD, observability, and documentation) to improve quality and speed.