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Data Services Assistant Jobs (NOW HIRING)

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services. * Assist in developing or maintaining data documentation, including metadata ...

Magpie Health Analytics

Data Engineer

Baltimore, MD · On-site +1

$113K - $136K/yr

Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services. * Assist in developing or maintaining data documentation, including metadata ...

Magpie Health Analytics

Data Engineer (Remote)

Baltimore, MD · Remote

$117K - $140K/yr

Contribute CI/CD workflows and automation strategies to promote rapid iteration and secure deployment of data services. * Assist in developing or maintaining data documentation, including metadata ...

University of Pennsylvania

Posted Job Title Services Assistant Job Profile Title Services Assistant A Summary Our New Bolton ... Internal organization and peer data at Penn are also considered. Equal Opportunity Statement The ...

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Data Services Assistant information

What is a data services assistant?

Data Services Assistants are professionals who support the management, organization, and maintenance of data within an organization. They often handle tasks such as data entry, quality control, database updates, and providing assistance to data teams or end-users. Their role is crucial in ensuring that data is accurate, accessible, and securely maintained, which helps organizations make informed decisions. Data Services Assistants often work in sectors like education, healthcare, business, and government, and may collaborate with IT and data analysis teams.

How does a data services assistant typically collaborate with other departments in an organization?

As a Data Services Assistant, you will often work closely with teams such as IT, data analytics, and operations to ensure accurate data entry, maintenance, and reporting. Collaboration typically involves gathering requirements, addressing data discrepancies, and supporting the implementation of new data management tools. Strong communication skills are valuable, as you'll frequently coordinate with colleagues to resolve issues and improve data workflows. This cross-functional teamwork not only supports organizational goals but also provides opportunities to learn from other departments and expand your skill set.

What are the key skills and qualifications needed to thrive as a data services assistant, and why are they important?

To thrive as a Data Services Assistant, you generally need strong attention to detail, organizational skills, and experience with data entry or management, often supported by a relevant associate's degree or equivalent experience. Familiarity with database software (such as Microsoft Access or SQL), spreadsheets, and data management systems is typically required. Strong communication, problem-solving abilities, and the ability to work accurately under deadlines are standout soft skills in this role. These skills are crucial for maintaining data integrity, ensuring efficient operations, and supporting informed decision-making within an organization.

What is the difference between Data Services Assistant vs Data Analyst?

AspectData Services AssistantData Analyst
Required CredentialsHigh school diploma or equivalent; some roles may require basic certificationsBachelor's degree in data-related fields; certifications like Microsoft Excel or SQL are common
Work EnvironmentOffice settings, data entry, and support rolesOffice or remote, analyzing data, creating reports
Employer & Industry UsageBusinesses, government agencies, data support teamsOrganizations across industries, focused on data interpretation
Search & Comparison IntentUnderstanding entry-level data support rolesAnalyzing data, making insights, decision-making

The Data Services Assistant typically handles data entry, support, and basic data management tasks, often requiring minimal certifications. In contrast, Data Analysts focus on analyzing data, creating reports, and deriving insights, usually requiring a bachelor's degree and specialized skills. Both roles are essential in data-driven organizations but differ in complexity and responsibilities.

What cities are hiring for Data Services Assistant jobs?

Cities with the most Data Services Assistant job openings:

What are the most commonly searched types of Data Services jobs?

The most popular types of Data Services jobs are:

What states have the most Data Services Assistant jobs?

States with the most job openings for Data Services Assistant jobs include:

What job categories do people searching Data Services Assistant jobs look for?

The top searched job categories for Data Services Assistant jobs are:

Data Services Assistant jobs near you
Infographic showing various Data Services Assistant job openings in the United States as of August 2026, with employment types broken down into 1% As Needed, 79% Full Time, 16% Part Time, and 4% Contract. Highlights an 94% Physical, 2% Hybrid, and 4% Remote job distribution.

Director of Data Services

MedReview Inc.

Newport Beach, CA • On-site

Full-time

Re-posted 24 days ago

Job description

Job Summary:
Mr. C Miami - Coconut Grove is seeking an experienced and visionary Director of Data Services to lead their enterprise data function. This role is critical for scaling the data platform, delivering high-quality data products, and enabling insights that drive health plan performance and cost optimization.
Responsibilities:
• Define and execute the data services roadmap aligned with company and product strategy.
• Build and lead a world-class data services team, including hiring, mentoring, and performance management.
• Serve as a thought leader in data services best practices and emerging technologies.
• Lead the Vital Data data-specification committee achieving alignment with industry standards and enabling the product goals of the Affinitē unified data platform through publication of the annual Vital Data specification
• Lead the ingestion, validation, normalization, and processing of complex healthcare datasets (e.g., claims, encounters, EHR, enrollment/eligibility, provider directories), including overseeing pipelines and ensuring data quality standards are being met.
• Maintain continued expert knowledge of industry data sets (ICD, CPT, HCPCS, SNOMED) and mentor Vital Data teams in understanding and use of data sets to achieve Affinitē product goals.
• Ensure HIPAA compliance and enforce data governance and security practices in accordance with regulatory and contractual obligations.
• Lead the Affinitē care gap solution: HEDIS, CMS Core Measures, Quality measures, custom measures. This includes annual certification processes, and collaboration with Vital Data product teams to define and develop custom measures.
• Support Affinitē advanced reporting services delivered through Azure PowerBI powered by Azure Fabric, including collaboration with Vital Data Technology’s data scientists.
• Lead the design, implementation, and optimization of the Azure-based data platform, including SQL Virtual Machines, SQL Managed Instances, Data Lake, Azure Fabric, Azure Synapse, Data Factory, Azure Machine Learning and related services.
• Establish scalable and reusable data pipelines to support internal analytics, product features, and client-facing deliverables.
• Collaborate closely with data science, analytics, and product teams to support the development of ML models, dashboards, and applications.
• Partner with client implementation and delivery teams to design data onboarding and transformation processes.
• Partner with clients during on-boarding and post go-live helping clients understand the goal of the Affinitē data platform and discovering client specific data platforms and processes to assist them in preparing data for ingestion to the Affinitē platform.
• Contribute to SQL coding standards. performance tuning, code management and release management.
• Collaborate with senior leadership to evaluate vendor data contracts, budgets, and vendor relationships to ensure quality, compliance, and cost-effectiveness.
• Implement monitoring and alerting systems to ensure data accuracy, reliability, and uptime.
• Define and enforce SLAs for data delivery and availability to support client and product needs.
Qualifications:
Required:
• Bachelor’s or Master’s degree in Computer Science, Data Engineering, Information Systems, or a related field.
• 7+ years of experience in data services or software development.
• Proven experience working with healthcare data sets (especially payer data such as claims (including lab and RX), enrollment, eligibility and provider data).
• Familiarity and experience with Microsoft Azure, including: Azure Data Lake Storage (ADLS), Azure Synapse Analytics, Azure Data Factory, Azure SQL virtual machines, managed instances, Azure SQL, Azure PowerBI, Azure Fabric.
• Strong expertise in data modeling, ETL/ELT, and distributed data processing frameworks.
• Proficiency in SQL, Python, and/or Scala.
• Strong understanding of data governance, security, and compliance (e.g., HIPAA, HITRUST, SOC 2).
• Excellent communication and collaboration skills across technical and non-technical audiences.
• Proven problem-solving skills with clients using enterprise solutions. Ability to read technical documentation.
• Able to handle and manage a high degree of change.
Preferred:
• Track record of delivering production-grade data products in a cloud-native environment preferred.
Company:
MedReview is a different type of payment integrity company. Founded in 1984, the company is headquartered in New York, USA, with a team of 201-500 employees. The company is currently Growth Stage.

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