Networking For Future (NFF) · 3 days ago

Sr. Data Analyst

Washington, DC

Full-time

Remote

Senior Level

8+ years exp

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Responsibilities

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.

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.

Responsible for establishing data-quality metrics and requirements, including defining the values, ranges, and parameters that are acceptable for each data element. 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.

Facilitate the creation of data standards based on business rules, data access security requirements, and retention of legacy data.

Retention, archival, and disposal requirements and ensure compliance with institutional policy and regulations. Accordingly, the Data Steward will establish and implement data curation practices to ensure that the life span of data is commensurate with requirements.

Defines policies and procedures for access to DCAS data, including the criteria for authorization based on role and/or the individual. Working closely with IT, Privacy and PMO to establish controls, the Data Steward 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.

Qualification

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