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Data Analyst/ Curam
- Little Rock, Arkansas, United States
- Little Rock, Arkansas, United States
Über
This role is fully remote and US-based, which means you must be authorized to work in the United States. While the posting says “Anywhere in the World,” the client is a US government program dealing with sensitive health and financial subsidy data, which typically requires US residency, citizenship, or a valid work visa (e.g., H-1B, TN, or EAD). Pure digital nomad arrangements from non-US countries are unlikely to be permissible given the government data privacy and security requirements.
Schedule & Timezone:
The description does not specify fixed hours, but working with a US government client program and an Executive Steering Committee strongly implies alignment with US Eastern or Central business hours. Async‑only flexibility is minimal — expect regular meetings and stakeholder coordination during standard US business hours.
Compensation vs. Nomad Cost of Living:
At $73–$81/hour (~$152k–$168k annually at 40 hrs/week), this is strong compensation:
Lisbon, Portugal:
Monthly costs ~$2,000–$2,800 — this salary offers exceptional quality of life, but EU residency requirements and US client security constraints complicate true nomad status.
Bangkok, Thailand:
Monthly costs ~$1,200–$1,800 — very comfortable financially, but timezone offset (UTC+7) makes US business hour alignment difficult.
Medellín, Colombia:
Monthly costs ~$1,200–$1,800 and only UTC-5, making it the most practical nomad base if US residency status is maintained.
Bottom Line:
Best suited for US-based remote workers. The government data security context and stakeholder‑heavy nature of the role make it ill‑suited for a location‑independent, fully async lifestyle.
Short Description The Client is looking for a Data Analyst with 11+ years of experience managing data pertaining to medical, nutrition, and financial subsidies managed by the Client system.
Complete Description The Data Analyst will play a critical role supporting the Client Program Administration, Executive Steering Committee, and Client Stakeholders. Under the aegis of the Client Chief Data Officer, the Data Analyst is responsible for the following areas:
Operational Oversight One of the key duties is overseeing the life cycle of Client data. 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. The Data Analyst must also define and document data and terminology in a relevant glossary, ensuring each critical data element has a clear definition and remains in use.
Develop and implement strategies to assess and maintain the quality, integrity, and reliability of data.
Coordinate cross‑agency efforts and decisions to ensure official agency records requirements, privacy, security, and other related requirements are met.
Provide oversight to ensure data issues, needs, and requirements are documented.
Data Quality Responsible for establishing data‑quality metrics and requirements, including defining acceptable values, ranges, and parameters for each data element. Works with the Client Data Research, Analytics, and Management team to establish procedures for detection and correction of data‑quality issues, and collaborates to establish policies, procedures, and internal controls affecting data quality. Also engages in ongoing, detailed evaluation of data quality, identification of anomalies and discrepancies, and implementation of corrective measures.
Coordinate with Client program teams and Stakeholder Agencies to ensure quality and integrity of Client data elements (content and metadata).
Facilitate the creation of data standards based on business rules, data access security requirements, and retention of legacy data.
Privacy, Security, and Risk Management Establish guidelines and protocols governing data proliferation to ensure privacy controls are enforced in all processes. Compile retention, archival, and disposal requirements and ensure compliance with institutional policy and regulations. Establish and implement data curation practices while balancing transparency and privacy.
Review agency and interagency data‑related work products.
Coordinate cross‑agency efforts to ensure official agency records requirements, privacy, security, and related requirements are met.
Policies and Procedures Define policies and procedures for access to Client data, including criteria for authorization based on role and/or individual. Work closely with Client IT, Privacy, and PMO to establish controls. Evaluate and report any suspected or actual breaches or vulnerabilities in confidentiality, integrity, or availability.
Monitor and analyze the application of federal, state, and local data requirements, standards, and rules.
Coordinate efforts with stakeholder agencies to interpret business needs into applications and derive data requirements regarding accessibility, completeness, timeliness, and relationships to other data entities.
Present findings and recommendations to Client leadership, Executive Steering Committee, and other stakeholders regarding improvements to operating practices, accountability, or transparency.
Other duties as assigned.
Preferred Skills
Knowledge of 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 with common and unique 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 Microsoft Office (Word, Excel, PowerPoint, 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.
Ability to develop a framework for information and data governance and embed it at all levels of the business.
Excellent communication skills, including the ability to explain digital concepts to business leaders and business concepts to technologists.
Demonstrated knowledge of data structures, information systems/tools, enterprise content management, and record‑keeping policies in a complex organizational environment (desired but not essential).
Broad experience in areas such as data warehousing, 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 (desired but not essential).
Preference for candidates with government knowledge and experience.
Required Skills
11+ years planning, coordinating, and monitoring project activities.
Required — 11 Years
11+ years leading projects, ensuring compliance with established standards/procedures.
Required — 11 Years
Bachelor's degree in IT or related field, or equivalent experience.
Required
Experience with ETL tools — Design, Develop, Analyze.
Required — 8 Years
Experience with Curam software V6 or higher (database‑centric work highly desired).
Required — 3 Years
Proven experience as a senior/lead data analyst for large data sets and multiple interfaces.
Required — 8 Years
Hands‑on experience with different file transfer methodologies, file types, and layouts.
Required — 8 Years
Experience with Tableau, dashboard design, and development.
Required — 5 Years
Strong experience in Healthcare Data.
Required — 4 Years
Proven experience delivering Business Intelligence solutions.
Required — 8 Years
Working knowledge of writing functional, technical, and performance requirements in a software development environment.
Required — 8 Years
Working knowledge of Microsoft Visio for flow/process diagrams and the full MS Office Suite.
Required — 5 Years
Hands‑on SDLC experience.
Highly Desired — 11 Years
Compensation $73.00 – $81.00 per hour
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Sprachkenntnisse
- English
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