• 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.

Role Description The Data Governance & Analytics Manager is responsible for establishing and maintaining enterprise-wide data definitions, governance standards, and analytics enablement across the organization. This role ensures that data across enterprise resource planning (ERP), customer relationship management (CRM), finance, manufacturing, and operational systems is accurate, consistent, trusted, and effectively used for decision-making. Acting as the bridge between business stakeholders, IT, and third-party implementation partners, this role drives data quality, key performance indicator (KPI) standardization, and adoption of reporting and analytics capabilities within a manufacturing organization operating across the United States and Canada. This is a remote position. - Define and maintain enterprise data governance standards, policies, and procedures. - Establish and manage the enterprise data dictionary and business glossary (single source of truth for key metrics and definitions). - Partner with Finance, Operations, Sales, and Supply Chain teams to define and standardize KPIs and reporting metrics. - Ensure alignment of data definitions across ERP, CRM, and data warehouse environments. - Work with IT and third-party vendors to validate data models, data mappings, and transformation rules. - Monitor data quality, identify gaps, and drive remediation efforts across business systems. - Support the design and adoption of enterprise reporting and analytics solutions. - Facilitate data governance forums and cross-functional alignment sessions. - Ensure data governance practices are embedded into system implementations and enhancements. - Support data lineage documentation and traceability from source systems to reporting outputs. - Promote data adoption and usage across business teams to improve decision-making. - Partner with Data Architect and Integration teams to ensure consistency of data pipelines and structures. - Support compliance, audit, and data privacy requirements as they relate to enterprise data. - Drive continuous improvement in data accuracy, completeness, and usability across systems. Qualifications - Bachelor’s degree in information systems, business analytics, data management, computer science, or related field. - 5 years’ experience in data governance, analytics, business intelligence, or enterprise data management roles. - Experience defining and standardizing KPIs, business metrics, and enterprise reporting structures. - Experience working with ERP systems (SAP, JD Edwards, Dynamics) or similar enterprise platforms. - Strong understanding of data governance principles, data quality management, and metadata management. - Strong analytical and problem-solving skills with attention to data accuracy and consistency. - Ability to translate business requirements into structured data definitions and reporting logic. - Familiarity with data warehouse concepts, dimensional modeling, and ETL processes. - Strong collaboration skills across technical and non-technical stakeholders. - Strong communication skills with ability to influence cross-functional alignment on data standards. - Ability to manage multiple priorities in a fast-paced, transformation-focused environment. - Strong documentation and organizational skills for maintaining data dictionaries and governance artifacts. - Ability to calculate figures and amounts such as discounts, interest, commissions, proportions, percentages, area, circumference, and volume. - Ability to apply concepts of basic algebra and geometry. - Ability to apply common sense understanding to carry out instructions furnished in written, oral, or diagram form. - Ability to deal with problems involving several concrete variables in standardized situations. Preferred Qualifications - Experience implementing enterprise data governance frameworks (e.g., DAMA-DMBOK). - Experience supporting data warehouse or analytics platform implementations. - Experience with BI tools (e.g., Power BI, Tableau) and reporting frameworks. - Experience in manufacturing, distribution, or multi-site operational environments. - Experience with cloud data platforms (Azure Data Platform, Snowflake, AWS analytics stack). - Experience supporting large-scale ERP or data warehouse transformation programs. - Familiarity with manufacturing KPIs, supply chain metrics, and operational reporting structures. - Experience working in hybrid environments with third-party implementation partners. - Certification in data governance, analytics, or business intelligence (e.g., CDMP, Microsoft Data Analyst Associate). - Experience driving enterprise adoption of analytics and self-service reporting capabilities.

• Support a business team’s ability to leverage data in support of business monitoring and decision management • Perform data exploration and analysis to identify and interpret trends and patterns in datasets • Create dashboards, visualizations, and reports to support business performance monitoring • Work collaboratively with the enterprise analytics & information management team to articulate business needs • Contribute to data inventory and stewardship efforts, including contributions to metadata management, data profiling, data quality remediation, and data cleansing • Perform user acceptance testing to confirm data output and capabilities meet business expectations and align to business processes • Troubleshoot data discrepancies and inconsistencies