• Support the execution of large-scale direct voter contact (DVC) programs across modes and platforms — including mail, SMS, and digital — ensuring voter universes are accurate, well-structured, and ready for deployment • Build and maintain clean, well-documented data tables for analysis and universe creation, supporting the program's ability to target and reach voters at scale • Support the program's research and learning agenda by adhering to established definitions of treatment and control groups and ensuring audience segments meet A/B testing standards. • Support the identification and prioritization of voting sites for Party at the Polls activations, using data to guide geographic decision-making • Provide analytical capacity across Civic Nation teams during a high-intensity season, including: • Contributing to reports and presentations for internal and external audiences • Delivering timely analysis of program performance • Building automated processes and dashboards that surface real-time insights and reduce manual data work • Other reasonable and related duties as assigned.

Role Description ASSYST is seeking a Senior Master Data Management (MDM) Solutions Analyst to support our client project in Austin, TX. This position is remote. The resource will serve as a senior master data management (MDM) administrator/developer, and a critical liaison between technical IT and non-technical program staff mastering complex member and provider data sources across the departments and agencies. This role empowers client’s staff to effectively determine client and provider identity crosswalks across application sources, for developing integrated agency analytical reporting and strategic decision-making. The ideal candidate has strong MDM and SQL skills, a deep understanding of client’s programs and data, strong history of data profiling across client’s data domains, with exceptional communication abilities to bridge the gap between technical data systems and operational users in the emerging context of AI. Responsibilities - Strategic Liaison and Translation: - Work with program areas, project sponsor and system SMEs to understand member and provider data domains and common data identity issues. - Explain technical findings and data limitations in simple, non-technical language to end-users. - Data Reporting and Visualization: - Extract, integrate, and analyze member and provider identity data from multiple complex internal and external sources to support client’s analytics needs. - Collaborate with end-users and performance analysts or IT internal leaders to create visualizations showing member and provider profiles for constantly emerging analytics needs. - Provide subject matter expertise on validating output from AI, particularly with respect to identifying and mitigating hallucinations. - Ensure all data identities adhere to agency data standards, data governance, and compliance regulations. - Data Literacy and Training: - Champion data identity across the organization by developing and conducting training sessions for non-technical staff. - Create clear, comprehensive documentation and tutorials on using master data for data integrations. - Promote a data-driven culture by enabling and empowering all employees to effectively utilize master data tools and AI. - Collaboration and Problem-Solving: - Work closely with data engineering, IT, and Program teams to troubleshoot data identity issues and address inconsistencies and mitigation strategies. - Provide expert guidance to program staff on interpreting data identity trends and answering complex identity questions. - Stay up to date on new AI and data identity tools and techniques to continuously improve data integrations, data quality and reporting. - AI Prompting and Data Synthesis: - Develop and refine effective AI prompts and query strategies to retrieve and synthesize data accurately from complex data domains. - Guide non-technical users in crafting precise prompts to get the data they need, ensuring fidelity and accuracy. - Develop a library of standardized prompts and query templates for common data identity needs. Qualifications - Experience with Informatica PowerCenter - Experience gathering business requirements and translating complex identity resolutions and operational requirements into clear, actionable access paths for client or provider identity for complex analytics - Experience with MDM tools such Informatica MDM - Experience explaining technical findings and data limitations in simple, non-technical language to end-users and leadership. - Strong experience with SQL for data identification, data profiling and manipulation. - Experience collaborating with end-users and performance analysts or IT internal leaders to create and validate client and member identification strategies for analytics development. - Excellent communication, presentation, and interpersonal skills. Preferred Experience - Experience with Business Intelligence/Data Warehouse - Experience with Informatica IICS - Experience working in a health and human services or similarly regulated environment, with a strong understanding of agency data domains. - Experience with data governance and data quality principles - Experience acting as the primary point of contact for program staff with MDM needs for analytics projects - Experience championing MDM across the organization - Experience with AI prompt development Company Description ASSYST is an Equal Opportunity Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, disability, military status, national origin or any other characteristic protected under federal, state, or applicable local law.

Role Description The purpose of the role is to continuously improve HMA’s Analytics function through data quality initiatives and automation. This role will work to identify, test, and implement automated reports and processes that are significant to business processes and internal stakeholders. Acting as the Subject Matter Expert for internal stakeholders, this position will also assist its customers with reporting-related questions and troubleshooting and will conduct research as needed to determine the appropriate responses. This role requires experience utilizing claims processing software such as Facets, Qiclink, Benefit Focus, Javalina, HealthEdge, etc. What YOU will do: - Gather and document reporting and analysis requirements from business stakeholders. - Design and develop analytics solutions tailored to business needs, leveraging appropriate technologies aligned with the best internal practices and system architecture. - Perform testing, validation, and quality assurance on both self-developed and team-developed analytics solutions. - Train non-analytics users on how to effectively use analytics tools and report. - Troubleshoot and resolve issues related to report failures and data inconsistencies. - Translate solutions across technologies (e.g., SQL to Power Query) and source data from alternative platforms (e.g., Qiclink, Benefit Focus). - Identify and implement enhancements to existing deliverables, including automation opportunities and process improvements. - Serve as a backup or understudy for overflow tasks and back-fill coverage across designated departments. - Collaborate with IT teams and business stakeholders to identify and address issues, risks, and concerns related to data integrity. - Communicate findings, observations, and recommendations to business stakeholders using clear, business-friendly language. - Demonstrate deep expertise in analytics technologies (e.g., Python, Power Query, DAX, SQL, R, Fabric, CaseTrakker Reporting) with the ability to teach and mentor other analysts in their effective use. - Conduct quarterly analytics business reviews with department leaders, presenting insights and performance metrics for your assigned specialty area. Qualifications - Bachelor’s degree or equivalent experience required. - 3-5+ years’ previous experience with reporting and data analysis using SQL and PowerBI. - Certification in PowerBI preferred. - Proven success creating and maintaining data visualization tools including PowerBI. - Expert level skills within Microsoft Excel and the ability to manipulate data with ease. - Must be a critical thinker and very analytical in order to synthesize data and troubleshoot issues. - Great communication skills in order to interact with stakeholders and efficiently gather requirements. - Resilient, adaptable, and have the ability to grasp new ideas and concepts quickly. - Mastery of time management and ability to work on multiple projects simultaneously, stay organized and maintain a keen attention to detail. - Experience in the health care analytics industry, including payer/TPA models strongly preferred. Application Note When applying, please include the phrase “What stood out to me about this role is…” somewhere in your application. Compensation The base salary range for this position in the greater Seattle area is $111,000-$136,000 and varies dependent on geography, skills, experience, education, and other job or market-related factors. Performance-based incentive bonus(es) is available. Benefits - Seventeen (IC) days paid time off (individual contributors). - Eleven paid holidays. - Two paid personal and one paid volunteer day. - Company-subsidized medical, dental, vision, and prescription insurance. - Company-paid disability, life, and AD&D insurances. - Voluntary insurances. - HSA and FSA pre-tax programs. - 401(k)-retirement plan with company match. - Annual $500 wellness incentive and a $600 wellness reimbursement. - Remote work and continuing education reimbursements. - Discount program. - Parental leave. - Up to $1,000 annual charitable giving match. How we Support your Work, Life, and Wellness Goals At HMA, we believe in recognizing and celebrating the achievements of our dedicated staff. We offer flexibility to work schedules that support people in all time zones across the US, ensuring a healthy work-life balance. Employees have the option to work remotely or enjoy the amenities of our renovated office located just outside Seattle with free parking, gym, and a multitude of refreshments. Our performance management program is designed to elevate career growth opportunities, fostering a collaborative work culture where every team member can thrive. We also prioritize having fun together by hosting in-person events throughout the year including an annual all hands, summer picnic, trivia night, and a holiday party. Disclaimer HMA requires a background screen prior to employment. Protected Health Information (PHI) Access: Healthcare Management Administrators (HMA); employees may encounter protected health information (PHI) in the regular course of their work. All PHI shall be used and disclosed on a need-to-know basis and according to HMA’s standard policies and procedures. HMA is an Equal Opportunity Employer.

• Leads the notebook tasks associated with project-specific reporting, working across the project team to ensure final reports meet the needs of all internal stakeholders. • Serves as technical support for Rave EDC build, including custom function programming. • Develops, validates, and makes updates as needed to a library of template notebooks to support reporting needs. • Programs data listings for Protocol Deviation review. • Capture, develop, and document data definitions, business rules, and data quality requirements. • Ensure compliance with deliverable reporting requirements by performing quality data audits and analysis. • Communicate and present data recommendations in a clear and compelling way. • Identify opportunities for data and process improvement, innovation, and optimization. • Participate in projects and tasks related to data integration, data cleaning, descriptive analyses, exploratory analyses, predictive modeling, data mining, text analytics, social media analytics, social network analysis, rapid prototyping, and data visualization to solve problems. • Implement new statistical or other mathematical methodologies as needed for specific models or analysis