• Support sales and consulting teams in responding to new business opportunities through proposals, statements of work, and presentation materials. • Participate in discovery sessions and stakeholder discussions to gather requirements and shape solution approaches. • Translate business needs into practical data and analytics solutions leveraging modern Microsoft technologies. • Develop effort estimates, resource plans, and engagement approaches. • Maintain and improve reusable presales assets, templates, case studies, and capability materials. • Coordinate and manage the practice’s intellectual property portfolio, including accelerators, frameworks, internal tools, and reusable assets. • Prioritise and maintain the IP backlog, ensuring initiatives deliver measurable value. • Review and improve contributions from consultants and engineers to ensure quality, consistency, and reusability. • Support onboarding and engagement of contributors across the practice. • Contribute directly to documentation, design, and technical enhancements where required. • Lead targeted R&D initiatives focused on emerging Data & AI technologies. • Evaluate and implement opportunities to leverage AI tools that enhance consulting, engineering, proposal development, estimation, and delivery outcomes. • Share learnings, demonstrations, and best practices across the broader team. • Develop practical guidance and playbooks that enable adoption of new capabilities. • Support operational processes including timesheet reviews, utilisation monitoring, and resource planning activities. • Assist with workforce visibility, skills mapping, and capability development initiatives. • Maintain skills and knowledge matrices to identify development opportunities and capability gaps. • Analyse utilisation and performance trends and provide insights to practice leadership. • Contribute to ongoing practice improvement initiatives and operational excellence. • Provide occasional support to client engagements through technical reviews, advisory activities, workshops, and solution scoping. • Assist with specialist expertise during periods of increased delivery demand.

• Write and maintain SQL queries to extract, manipulate, and validate data from company databases. • Provide support as needed to other internal teams when specific projects involving data analysis arise. • Collect, clean, and analyze data from various sources to identify trends and opportunities. • Support and provide technical assistance for inquiries and issues. • Triage and track internal and external data requests.

Role Description DATA ANALYST - RURAL HEALTH PROGRAM You are required to live in New Mexico to be considered for this role. - Supports data management, reporting, and performance monitoring activities for statewide rural health transformation initiatives. - Assists in development and maintenance of dashboards, reports, and structured data products used to track program implementation and provider performance. - Performs data extraction, cleaning, validation, and analysis to support recurring reporting requirements and ad hoc requests. - Maintains structured datasets and tracking systems aligned with program reporting and compliance needs. - Develops standard reports and visualizations to support performance monitoring across provider initiatives. - Assists in identifying trends, inconsistencies, and data quality issues. - Coordinates with data, technical assistance, and program teams to support data-driven decision-making. - Contributes to preparation of reports, presentations, and documentation for state and federal stakeholders. - Maintains organized, audit-ready documentation of data sources, methodologies, and reporting outputs. - Supports continuous improvement of data processes and workflows. - Up to 25% travel may be required. Qualifications - Bachelor’s degree in data analytics, public health, health informatics, statistics, economics, or related field required. - Minimum 2 years of experience in data analysis, reporting, or data management. - Experience working with Excel, SQL, R, SAS, or other data tools to manage and analyze datasets. - Experience developing reports or dashboards using Power BI, Tableau, or similar visualization tools preferred. - Strong attention to detail and ability to validate and reconcile data across sources. - Ability to communicate analytical findings clearly to technical and non-technical stakeholders. - Experience supporting healthcare, Medicaid, or public health programs preferred. - Ability to manage multiple reporting deadlines and priorities in a structured environment. Pay Range The pay range for this position based on full-time employment is: - $74,090.00 - $125,954.00

• Lead, mentor, and develop a team of three: a staff data scientist and two analysts, fostering a collaborative, supportive, and growth-focused environment. • Provide technical guidance and hands-on support on high-stakes analytics and data science projects, ensuring the team has the tools, context, and skills needed to do their best work. • Actively invest in the team’s AI fluency and utilization, evaluating emerging AI tools and techniques and leveraging Claude Code, Claude Cowork, and related tools to accelerate analytical workflows and extend team capacity. • Own and advance program analytics in support of Ignite Reading’s Academics team, providing rigorous measurement of curriculum performance and student success, including assessment against third-party benchmarks such as DIBELS, iReady, and STAR, and conducting analyses to inform what types of interventions to develop and to determine how effective they are. • Own and advance product analytics across Ignite Reading’s platform, measuring feature adoption, student engagement, and usage patterns to inform product strategy and prioritization. • Help drive the development of the company’s experimentation platform, establishing best practices for experimental design, analysis, and interpretation. • Roll up your sleeves alongside the team on selected analytics projects: responding to high-priority ad hoc requests, designing prototypes to accelerate builds, and personally owning discrete analyses end to end. • Own sprint management, project execution, and delivery for the Product & Program Analytics team, conducting planning sessions and leading retrospectives to continuously improve team processes. • Build and maintain strong cross-functional relationships with Product and Academics stakeholders, translating business and academic questions into analytical initiatives and communicating findings clearly to non-technical audiences. • Collaborate on the team’s strategic roadmap with the VP of Data & Analytics, aligning project priorities with organizational goals and tracking progress against timelines.