Aspire Systems · 4 hours ago
Senior Data Analyst
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Responsibilities
One of the key duties of the Data Analyst s is overseeing the life cycle of a DCAS data. Specifically, the Data Analyst is responsible for defining and implementing policies and procedures for the day-to-day operational and administrative management of systems and data —including the intake, storage, processing, and transmission of data to internal and external systems. As a part of the oversight for institutional data, the Data Analyst must be accountable to define and document data and terminology in a relevant glossary. This includes ensuring that each critical data element has a clear definition and is still in use.
Responsible for developing and implementing strategies to assess and develop rules to maintain the quality, integrity and reliability of data.
Coordinate cross-agency efforts and decisions that ensure official agency records requirements, privacy, security and other related requirements are met.
Provide oversight to ensure the data issues, needs and requirements are documented.
This ultimately responsible for establishing data-quality metrics and requirements, including defining the values, ranges, and parameters that are acceptable for each data element. They also work with the DCAS Data Research, Analytics, and Management team to establish procedures for detection and correction of data-quality issues and collaborate to establish policies, procedures, and internal controls affecting the quality of data. In addition, the Data Analyst engages in the ongoing and detailed evaluation of data quality, the identification of anomalies and discrepancies, and the contribution of expertise to understand the root cause and implement corrective measures.
Coordinate with DCAS program teams and DCAS Stakeholder Agencies to ensure the quality and integrity of the DCAS data elements (both content and metadata) to support the implementation of DCAS.
Facilitate the creation of data standards based on business rules, data access security requirements, and retention of legacy data.
One of the most critical aspects for the Data Analyst s is the protection of data. The incumbent must establish guidelines and protocols that govern the proliferation of data to ensure that privacy controls are enforced in all processes. To be effective, the Data Analyst must compile retention, archival, and disposal requirements and ensure compliance with institutional policy and regulations. Accordingly, the Data Analyst will establish and implement data curation practices to ensure that the life span of data is commensurate with requirements. However, the Data Analyst must protect data while striking a balance between transparency and privacy.
Review agency and interagency data-related work products.
Coordinate cross-agency efforts and decisions that ensure official agency records requirements, privacy, security and other related requirements are met for data.
The Data Analyst defines policies and procedures for access to DCAS data, including the criteria for authorization based on role and/or the individual. Working closely with DCAS IT, Privacy and PMO to establish controls, the Data Analyst evaluates any suspected or actual breaches or vulnerabilities in confidentiality, integrity, or availability and report them to management or information security personnel.
Monitor and analyze the application of federal, state and local data requirements, standards and rules (internal and external).
Coordinate efforts with stakeholder agencies to interpret business needs into applications and derive data requirements that represent the business entities' needs regarding accessibility, completeness, timeliness, desired attributes and relationship to other data entities when appropriate.
Present findings and recommendations to DCAS leadership, Executive Steering Committee and other stakeholders regarding recommended changes to improve operating practices, accountability, or transparency.
Other duties as assigned.
Qualification
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Required
Bachelor’s degree in Information Technology or related field or equivalent experience
Operational oversight of data life cycle including defining and implementing policies and procedures for data management
Developing and implementing strategies to maintain data quality, integrity, and reliability
Coordinating cross-agency efforts to meet official agency records requirements, privacy, security, and related requirements
Establishing data-quality metrics and requirements
Working with the DCAS Data Research, Analytics, and Management team to establish procedures for detection and correction of data-quality issues
Engaging in ongoing evaluation of data quality and identifying anomalies and discrepancies
Establishing guidelines and protocols for data protection and privacy controls
Defining policies and procedures for access to DCAS data
Monitoring and analyzing application of federal, state, and local data requirements
Coordinating efforts with stakeholder agencies to interpret business needs into applications
Presenting findings and recommendations to DCAS leadership and stakeholders
Preferred
Knowledge of good data management principles, concepts and practices
Knowledge of how to determine business data requirements, create data standards and business rules
Knowledge of human services and health care programs
Ability to work with multiple agency stakeholders that may have common and unique agency or program-specific data requirements
Familiarity with public policy issues related to human services data requirements
Ability to analyze complex, abstract issues in a logical, structured way
Excellent written and oral communication skills
Proficient in the use of Microsoft Office (Word, Excel, Power Point and Outlook)
Knowledge of statistics and/or research methodology
Outstanding analytical and problem-solving abilities
Familiarity with business information generation and analysis methods
Ability to effectively drive business, culture and technology change in a dynamic and complex operating environment
Gravitas to develop a framework for information and data governance
Excellent oral and written communication skills, including the ability to explain digital concepts and technologies to business leaders
Demonstrated knowledge of data structure desired, but not essential
Broad experience desired, but not essential, in multiple domain areas such as data warehousing, business intelligence (BI), data governance, data architecture, data integration, data classification, data strategy, data quality management, data security and privacy, MDM, data standards, regulatory compliance, and enterprise architecture frameworks
Preference for candidates with knowledge and experience with government
Company
Aspire Systems
Aspire Systems is a leading global technology service provider
H1B Sponsorship
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reference. (Data Powered by US Department of Labor)
Distribution of Different Job Fields Receiving Sponsorship
Represents job field similar to this job
Trends of Total Sponsorships
2023 (38)
2022 (67)
2021 (57)
2020 (90)
Funding
Current Stage
Late StageRecent News
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