Note: The job is a remote job and is open to candidates in USA. Mindlance is a company focused on large-scale data modernization projects. They are seeking a Senior Data Quality Assurance Analyst to ensure the accuracy and integrity of public health data, collaborating with various stakeholders to maintain high data quality standards.
Responsibilities
- Develop, implement, and maintain data quality standards, validation rules, and monitoring procedures for state public health datasets
- Development 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 rules
- Develop 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 stewards
- Monitor key data quality dimensions including accuracy, completeness, consistency, timeliness, and validity
- Identify, 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-cases
- Establish and perform processes to monitor technical integrity of data pipelines
- Partner with epidemiologists, program managers, data stewards, and developers to assess the impact of data quality issues on analysis, reporting, and program outcomes
- Validate data at various steps in the data ingestion process from staging to curation to making data available to analytics
- Execute Test cases, document test findings, and translate into actionable insights for both business and technical stakeholders
- Support development and maintenance of data dictionaries, metadata, and business rules
- Participate in data governance and stewardship activities, including data access controls, data lineage, and standardization efforts
- Support system enhancements, onboarding of new data sources, and policy-driven data changes with quality assurance testing
Skills
- Effective and good communications skills
- Ability to work with teams and independently
- Undergraduate degree in a STEM discipline, Business, Computer Science, Public Health, related field, or equivalent experience
- Experience 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 agreements
- Familiarity 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 services
- Intermediate or better SQL query skills
- Working knowledge with at least one Business Intelligence tool such as Tableau
- Public Health experience
- Amazon Web Services experience
- Snowflake certification
- Tableau or any other BI tool certification
Company Overview
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