Role Description TSPi is seeking a mid-career professional in Data Analytics with a background in data used in the U.S. in social science and public health. The successful candidate will contribute data analysis, data cleaning, and analytical code working as part of multiple small teams. Projects will include data-intensive federal government projects focused on public behavioral health and healthcare research. - Apply knowledge in modern data management and analytical technologies to manage, visualize, and analyze data from a variety of federal datasets, including unstructured and qualitative/text datasets. - Support the stewardship and analysis of government data, with a focus on public health, behavioral health, healthcare, and justice. - Provide support across the data lifecycle including data intake, storage, synthesis, automation, and analytical development. - Work collaboratively with other team members to lead development and implementation of QA/QC protocols, defect tracking and management for complex coding and data projects, and adhere to standards of data security, integrity, and availability. Qualifications - Bachelor degree + 5 years’ experience, Master degree + 3 years’ experience, PhD + 0 years experience. - Experience in a data-focused field. Subject matter degrees may be in informatics, statistics, public health, social science, economics, or a related field with a focus on data and analysis. - Able to obtain and maintain public trust access for HHS information systems. - Strong skills in statistical, data analytics, and data management languages: R, Python, SAS, and SQL. - Skill in version control software (git), and development of best practices. - Critical thinker with collaborative focus, strong communication skills, and a commitment to continued skill development. - Able to handle tasks such as digitizing forms, embedding scoring logic, automating workflows, integrating systems, and building dashboards for monitoring and reporting. Requirements - Preferred: Statistics-focused background with experience in analyzing public health and survey data. - Preferred: Experience with programmatic data from behavioral health programs, including those administered or funded by SAMHSA, HRSA, or other relevant agencies. - Preferred: Experience using secondary data sources to supplement primary data analyses (e.g. census data, geographic data, key national health indicators, etc.). - Preferred: Some experience with AI coding companion tools such as GitHub copilot.

• Lead our data visualization and analytics work: Setup, upgrade, and troubleshoot both internal and external dashboards. Proactively provide analysis for ongoing work. Curate a culture of data-driven decision making and self-service analytics. • Manage the lifecycle of data requests: Actively monitor and respond to the internal Slack data requests, engaging in timely back-and-forth communication with staff to clarify technical requirements, provide status updates, and ensure the final data delivery matches the strategic need. • Document data standards and how-tos: Create and maintain clear documentation (data dictionaries and schema maps) for data sources and reporting logic to ensure a shared understanding of metrics across the agency. • Train and support teammates on data products and digital tools: Provide technical training and assistance to team members. Offer guidance and support to teammates utilizing digital tools. • Execute list rentals and buys: Lead the coordination and execution of internal and external email and phone data rentals and buys. Manage the secure transfer of PII. • Cross-platform quality assurance: Perform regular audits to reconcile data discrepancies between CRMs (e.g., ActionKit vs. ActBlue) and reporting tools to ensure the "single source of truth" remains accurate. • Support teammates in testing setup and rigor: Partner with strategy teams to design rigorous A/B tests for their different tactics, and analyze results to provide statistical confidence on high-performing content. • Lead agency-wide data modelling: Design, deploy, validate, and improve models for strategy teams to use in their day-to-day work using rigorous statistical methods. • Support the Data Department: Be a team player, provide support and feedback for technical projects led by the Data Department. • Perform additional responsibilities as assigned by management, adapting to evolving business needs and contributing to the team’s success.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description We are currently seeking a Senior Data Analyst to join our company. The ideal candidate has experience both analyzing data and translating complex results into understandable and actionable findings. This individual will develop and execute on complicated analytic projects that are descriptive, evaluative, business intelligence, and financial in nature. - Shepherd an analysis through all steps of the process including scoping, planning, execution, quality checking, results formatting and write-up, delivery and presentation of findings, and communication with the internal team and the client throughout the process. - Program robust analyses in statistical programming languages such as R or SAS efficiently with strong attention to detail and minimal oversight. - Quickly learn new datasets (and their limitations) to leverage for analysis and thought leadership. - Think strategically and creatively about analyses and datasets to deliver value to clients and grow the business, including novel approaches to using existing ATI data assets and identifying new data for ATI to consider acquiring. - Develop methods (particularly for outcomes analyses and financial modeling) that are statistically rigorous, and seek to creatively overcome complex data limitations. - Collaborate with and advise colleagues firmwide on methods and structuring an analysis, including identifying limitations of methods, analyses, and datasets to address project or client needs. - Convey (in written deliverables and presentations) analysis findings, recommendations, and data considerations to clients, including ability to communicate with clients across a spectrum of data acumen. - Use strong judgment to understand and help project leadership solve client problems including identifying programmatic and strategic recommendations informed by data analytics. - Create informative data visualizations. Qualifications - An undergraduate or graduate degree in epidemiology, statistics, mathematics, public policy, public health, public administration, economics, or another related field. - 4-6 years of relevant analytics work experience. - Working policy knowledge of Medicare and/or Medicaid. - Knowledge of and experience analyzing Medicare and/or Medicaid datasets (claims, encounters, public use files, surveys, etc.). - Experience and proficiency in independently analyzing claims and/or survey data, and preparing written summaries and visual displays that clearly convey information, with the ability to tailor the summary or display to the intended audience. - Preferred experience working with data visualization tools such as Power BI or Tableau. - Experience working on and prioritizing multiple urgent and complex tasks, each with competing deadlines. - Strong attention to detail, including ability to work efficiently to produce accurate and high-quality deliverables. - Ability to problem solve independently, pivot quickly based on client needs, and work with incomplete information. - Ability to communicate complex ideas effectively, both written and verbally. - Ability to synthesize complex research findings into relevant insights. - High level of initiative, quick learning ability, and resourcefulness. - Strong organizational skills and ability to multitask. - High degree of professional maturity. Company Description ATI Advisory is a healthcare research and advisory services firm changing how businesses, communities, and public programs serve complex populations. We deliver insight backed by original research and provide practical solutions for our clients and the families they serve. Our team includes nationally recognized experts across Medicare, Medicaid, long-term care, and provider delivery, and we bring an influential voice to efforts transforming health care.

This description is a summary of our understanding of the job description. Click on 'Apply' button to find out more. Role Description This position creates data management monitors and processes to ensure quality standards are met for data collected and/or utilized by behavioral health programs and providers across Washington. - Lead and support Behavioral Health Data Infrastructure (BHDI) projects for data quality processes and source improvements. - Provide strategic and tactical data integrity ingestion testing to verify the integrity of behavioral health care data. - Ensure that all environments are kept in sync, as data patches, refreshes, and data conversion corrections are applied. - Establish agency-wide metadata standards to ensure consistent and accurate information is available to analysts and users. - Eligible to telework; typically not required to report on-site. - Reports to Olympia, WA; frequency of onsite work will vary based on business and operational needs. Qualifications - Seven (7) years of consultative, administrative, or supervisory experience in information technology analysis, system maintenance, or troubleshooting/problem resolution experience, or analyzing, designing, or programming computer systems applications or databases. - Associate degree and five (5) years of relevant experience. - Bachelor’s degree and three (3) years of relevant experience. - Master’s degree and one (1) year of relevant experience. - Three years as an Entry Level IT Professional in state service. - Three (3) years of experience working with a large data warehouse. - Intermediate knowledge and experience writing SQL code, Java, and Python performance tuning. - Three (3) years of experience utilizing data quality testing methodologies. - Three (3) years of experience in interface development using SQL Server Integration Services (SSIS) or equivalent software. Requirements - Ability to take action to learn and grow. - Ability to take action to meet the needs of others. - Experience with and knowledge of prevailing industry data quality and database development standards. - Experience with and knowledge of Extract, Transform, and Load technologies. - Experience with and knowledge of metadata, business data definitions, and data dictionaries. - Extensive knowledge of Structured Query Language (SQL), PL/SQL, Python, MS Excel, MS Visio, and Java. - Experience with and knowledge of data reporting using Business Intelligence software. Preferred Qualifications - Experience with behavioral health data warehouses. - Experience with behavioral health systems. - Experience in creating reports using Power BI or similar BI tool software. - Experience with any helpdesk ticketing system. How to apply - Complete your profile on NEOGOV, including three professional references. - Attach a cover letter that specifically addresses how you meet the qualifications for this position. - Attach your current resume. - For veteran preference, attach a copy of your DD214 (Member 4 long-form copy), NGB 22, or USDVA signed verification of service letter. - Black out any PII data such as social security numbers. Supplemental Information Functioning as both the state's largest health care purchaser and its behavioral health authority, the Washington State Health Care Authority (HCA) is a leader in ensuring Washington residents have the opportunity to be as healthy as possible. - HCA purchases health care, including behavioral health treatment for more than 2.7 million Washington residents. - Provides behavioral health prevention, crisis, and recovery supports to all Washington residents.