• Provide technical data extraction, management, integration, and advanced analytic support including analytic approaches to examine relationships between implementation processes and program outcomes. • Extract APR and performance measurement data; Develop structured analytic datasets; Standardize and harmonize variables across reporting cycles; Maintain documentation of extraction procedures. • Conduct systematic data cleaning and validation; Identify missing or inconsistent data; Implement reproducible validation scripts; Document data quality issues and corrective actions. • Compile DPRP encounter-level datasets; Conduct descriptive and longitudinal analyses; Analyze engagement and outcomes; Generate standardized outputs. • Compile ADA and ADCES datasets; Harmonize data elements; Conduct cross-site comparative analyses; Assess reach and outcomes. • Identify relevant national datasets (as directed); Acquire and integrate secondary datasets; Conduct comparative and contextual analyses; Document limitations and assumptions; Apply analytic methods to assess how implementation factors (e.g., reach, fidelity, adaptation) influence outcomes. • Perform other duties as required.

• Own and continuously improve the company's performance management framework. • Lead company-wide OKR planning, tracking and quarterly review cycles. • Design and implement scalable people processes that improve organizational effectiveness. • Analyze people, performance and operational data to identify trends, measure outcomes and recommend improvements. • Build dashboards and reports that provide meaningful insights into organizational performance. • Define business requirements for HR systems, reporting tools and workflow automation. • Partner with leaders across the company to improve team performance and execution. • Develop frameworks for performance reviews, calibration, promotions and career development. • Drive initiatives that strengthen accountability, ownership and a high-performance culture. • Ensure company values are embedded throughout employee programs, performance evaluations and day-to-day operations. • Continuously identify opportunities to simplify processes, eliminate inefficiencies and improve the employee experience. • Support strategic people initiatives and organizational projects as the company grows.

• Provide user account life cycle management, including creating, provisioning, securing, and inactivation of access. • Participate in projects and support operations focused on implementing Identity and Access Management (IAM) integrations and Roles Based Access Control (RBAC) strategies and integrations. • Collaborate in the design, implementation, and support of the IAM technologies. • Participate in projects to ensure standard processes and procedures are implemented when rolling out new provisioning and role management points. • Develop system access and security implementation plans derived from operational customer needs and requests.

Role Description The Data Analyst II supports the mission of the Centers for Disease Control and Prevention (CDC), National Center on Birth Defects and Developmental Disabilities (NCBDDD), by providing data management, statistical analysis, surveillance support, and reporting for multi-state birth defects and Neonatal Abstinence Syndrome (NAS) surveillance activities. The position works closely with epidemiologists, surveillance program staff, information technology specialists, and state health departments to ensure the quality, integrity, timeliness, and accuracy of public health data used to inform research, prevention strategies, and public health decision-making. Responsibilities - Sort, clean, and analyze birth defects and Neonatal Abstinence Syndrome (NAS) data collected from DBDID population-based birth defects surveillance systems. - Prepare and maintain Human Subjects, IRB, AoC and Other Human Subjects protection documentation. - Work with Information Technology (IT) staff to establish, document, and facilitate data reporting mechanisms. - Establish a database variable structure for housing multi-state data submissions to CDC. - Develop and execute data quality control protocols to identify data issues. - Review submissions and provide suggestions for improvement with State birth defects surveillance systems to resolve data issues. - Prepare documentation of the multi-state birth defects and NAS surveillance databases including data dictionaries, file formats, and data cleaning procedures. - Identify program and process improvement opportunities to increase the timeliness and accuracy of data and provide recommendations to CDC program staff; prepare written reports of program improvement and process recommendations and analytic findings. - Perform frequent (i.e., weekly) statistical analyses and reporting of data collected from DBDID birth defects surveillance systems. Generate files, reports and tables from the data analyzed in a variety of formats (e.g., SAS, CSV, XML) for CDC program staff, as requested. - Utilize advanced statistical programming (e.g., SAS and R) to collect data from multiple jurisdictions cleaning data, validating the data, analyzing the data using advanced epidemiologic methods (e.g., regression models), and summarizing results. Qualifications - Public Health data analytics, particularly Birth Defects and Developmental Disabilities Surveillance and neonatal abstinence syndrome surveillance. - Statistical programming (SAS, R, SQL, Python). - Regression modeling and trend analysis. - Data visualization and reporting (Tableau, Power BI). - CDC Surveillance and Reporting Systems. - Ability to Translate Complex Data into Actionable Insights. - Database Management and Data Warehousing. - Data Cleaning, Validation, and Quality Assessment. - Analytical and Critical Thinking. - Strategic Data Interpretation. - Research and Evaluation Methodology. - Strong Written and Oral Communication. - Collaboration Across Multidisciplinary Teams. - Relationship Building with State and Federal Partners. Requirements - Bachelor's degree in Public Health, Epidemiology, Biostatistics, Data Science, Statistics, Health Informatics, Computer Science, or a related field. - 2+ years of relevant experience. - Experience managing and analyzing large public health, healthcare, or surveillance datasets. - Proficiency in SAS, R, SQL, and data visualization tools. - Knowledge of epidemiologic methods, statistical analysis, data quality management, and public health surveillance systems. - Experience preparing technical documentation and communicating analytic findings to diverse audiences. Preferred Qualifications - Master's degree or PhD in Public Health, Epidemiology, Biostatistics, Data Science, or a related discipline. - 5+ years of relevant experience. - Experience supporting birth defects surveillance, maternal and child health programs, developmental disabilities research, or chronic disease surveillance. - Familiarity with CDC data standards, human subjects protections, IRB processes, and federal data governance requirements. - Experience working with multi-state surveillance systems and collaborating with state health departments and public health partners. Benefits - The annual salary for this position is $85,000 to $105,000. - Competitive base salary commensurate with qualifications and experience. - Comprehensive benefits package, including medical, dental, and vision insurance. - 401(k) plan with company matching. - Tax-deferred savings options. - Supplementary benefits. - Paid time off. - Professional development opportunities.