Data Quality Assurance Analyst

Data Quality Assurance SpecialistThe ideal candidate is an expert in assuring accuracy, completeness, timeliness, and consistency of data used by the State Department of Health to support disease surveillance, population health monitoring, program evaluation, and statutory reporting. This position works collaboratively with epidemiologists, program staff, analytics teams, developers, and external partners to maintain data integrity across state public health information systems and reporting processes.In this role, you are comfortable speaking to both business and technical stakeholders to ensure combined understanding and collaborative solutions. This role will be expected to own tasks and follow-up related to cloud data platform requirements and implementation activities and establish well documented best practices and processes.Duties and ResponsibilitiesDevelop, implement, and maintain data quality standards, validation rules, and monitoring procedures for state public health datasetsDevelopment of Test plan that defines the scope, strategies, and evaluation criteria for testing of data quality, visualizations and end to end pipelines, based on business requirements and compliance standards.Develop Test cases for testing data quality and that the data meets the quality dimensions and the underlying datasets to meet the compliance and business rulesDevelop Test cases to validate the visualization dashboards including complex calculations, ETL for aggregations, functionality, usability etc.Implement EDP quality checks and validation procedures as informed by Epidemiologists/data stewardsMonitor key data quality dimensions including accuracy, completeness, consistency, timeliness, and validityIdentify, document, track, and support resolution of data quality issues affecting the METRIK project and the various Data Assets needed to power public health analytic use-casesEstablish and perform processes to monitor technical integrity of data pipelinesPartner with epidemiologists, program managers, data stewards, and developers to assess the impact of data quality issues on analysis, reporting, and program outcomesValidate data at various steps in the data ingestion process from staging to curation to making data available to analyticsExecute Test cases, document test findings, and translate into actionable insights for both business and technical stakeholdersSupport development and maintenance of data dictionaries, metadata, and business rulesParticipate in data governance and stewardship activities, including data access controls, data lineage, and standardization effortsSupport system enhancements, onboarding of new data sources, and policy-driven data changes with quality assurance testingQualificationsEffective and good communications skillsAbility to work with teams and independently.Undergraduate degree in a STEM discipline, Business, Computer Science, Public Health, related field, or equivalent experienceExperience with state or local public health data systems (e.g., disease surveillance, immunization registries, ELR, syndromic surveillance, vital records)Familiarity with state data standards (e.g., HL7)Knowledge of HIPAA, state privacy laws, and data use agreementsFamiliarity with analytic tools such as R, Python, or SAS; and reporting/visualization tools such as Tableau or Power BI or AWS Quicksight.Experience in creating, reviewing and maintaining end-to-end data platform requirements.Thorough knowledge and experience of data warehouse and a cloud-based Enterprise Data solution.Cloud database platform experience such as Snowflake.Familiarity with AWS cloud servicesIntermediate or better SQL query skillsWorking knowledge with at least one Business Intelligence tool such as TableauPreferred experience/skills:Public Health experienceAmazon Web Services experienceSnowflake certificationTableau or any other BI tool certificationEEO:- Mindlance is an Equal Opportunity Employer and does not discriminate in employment on the basis of – Minority/Gender/Disability/Religion/LGBTQI/Age/Veterans