Senior Data Analyst, Data Transfer Agreement, Gap Analysis, Data SQL Skills

KEY FOCUS AREAS 

Data Transfer Agreements 

Primary author and owner of DTAs — drafting, negotiating, and maintaining data-sharing agreements with clients and partners. 

Gap Analysis 

Lead systematic gap analysis between multiple systems to drive data quality and integration decisions. Provides understanding of impact analysis when changing source or target systems, both upstream and downstream. 

Customer Engagement 

Serve as a direct client-facing data resource — translating business needs into data solutions and communicating findings clearly to non-technical stakeholders. 

Communication 

Produce clear, accurate written deliverables (reports, documentation, DTA summaries) and lead stakeholder presentations and data reviews. 

Data & SQL Skills 

Own complex SQL queries, data modeling, and analytical reporting across Snowflake and connected data warehouse environments. 

Summary 

The Senior Data Analyst at AssistRx serves as a primary point of contact between client organizations and internal data systems. This role leads the full lifecycle of Data Transfer Agreement (DTA) documentation, conducts structured gap analyses between source and target data environments, and translates complex data findings into actionable insights for both technical and executive audiences. Strong written and verbal communication skills are essential, as this analyst will engage directly with customers on data governance, integration readiness, and reporting needs. 

Duties & Responsibilities 

Data Transfer Agreements (Primary Responsibility) 

• Author, maintain, and update Data Transfer Agreements (DTAs) for all client and partner data-sharing arrangements. 

• Collaborate with legal, compliance, and IT security to ensure DTAs reflect current data flows, retention policies, and regulatory requirements. 

• Serve as subject matter expert on DTA scope during client onboarding and contract renewals. 

• Track DTA revision history and surface expiration or gap alerts proactively. 

Gap Analysis 

• Lead structured gap analysis between presentation DB views, Scriptly schema, and source system data to identify coverage, mapping, and quality gaps. 

• Produce clear gap analysis documentation with prioritized remediation recommendations for data engineering and product teams. 

• Monitor ongoing gap metrics and communicate trends to stakeholders via dashboards and regular reports. 

• Translate gap findings into actionable data quality requirements and DTA scope adjustments. 

Customer & Stakeholder Engagement 

• Serve as a direct customer-facing resource for data-related inquiries, onboarding, and ongoing reporting needs. 

• Lead client-facing data reviews, walking stakeholders through findings, gaps, and resolution timelines. 

• Build trusted relationships with customer data teams, acting as an interpreter between business requirements and technical data architecture. 

• Gather and document client data requirements, translating them into analytical specifications and DTA updates. 

Data Analysis & Reporting 

• Write optimized SQL queries (Snowflake/SQL Server) for complex data extraction, transformation, and validation across the integrated data environment. 

• Design and maintain reporting solutions and dashboards for client and internal stakeholders. 

• Interpret data, formulate findings, and deliver concise, well-structured reports and presentations. 

• Validate data quality by filtering, cleansing, and cross-referencing datasets against known schema mappings. 

• Apply statistical techniques to analyze trends, outliers, and performance indicators. 

Process & Documentation 

• Develop and maintain data documentation including data dictionaries, field-level lineage maps, and integration runbooks. 

• Identify and propose process improvement opportunities based on gap analysis and customer feedback. 

• Support continuous improvement of data collection, mapping, and quality control workflows. 

Preferred 

• Familiarity with healthcare or specialty pharmacy data environments (hub services, patient support, and copay programs). 

• Experience with dbt, data warehouse modeling, or column-level data lineage tools. 

• Knowledge of HIPAA, data privacy regulations, and data governance frameworks relevant to healthcare data sharing. 

• Experience with data visualization and reporting tools (Tableau, Power BI, Looker, or equivalent). 

• Experien