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

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 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. Qualifications Required BS in Computer Science, Information Systems, Mathematics, Statistics, or related field. 5+ years of experience in a data analyst role with direct client or customer‑facing responsibilities. Demonstrated experience drafting, reviewing, or maintaining Data Transfer Agreements or similar data governance documents. Intermediate‑level SQL (Snowflake preferred); comfortable writing complex multi‑CTE queries and aggregations across large datasets. Strong experience conducting gap analysis between source and target data systems, with formal documentation of findings. Excellent written and verbal communication skills — able to produce clear, executive‑ready reports and lead client‑facing data discussions. Understanding of ETL or ELT processes. Preferred Familiarity with healthcare or specialty pharmacy data environments. 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). Experience with Python or R for data analysis and automation. Compensation & Benefits Competitive pay structure. Matching 401(k) with immediate vesting. Medical, dental, vision, life, and short‑term disability insurance. Work Environment This position operates in a professional office or remote environment. Continual computer use; standard office lighting and ergonomic workspace. Occasional evening or weekend work may be required to meet project deadlines. Domestic travel may be required for client engagements. Legal Statements AssistRx, Inc. is proud to be an Equal Opportunity Employer. All qualified applicants will receive consideration without regard to race, religion, color, sex (including pregnancy, gender identity, and sexual orientation), parental status, national origin, age, disability, family medical history or genetic information, political affiliation, military service, or other non‑merit based factors, or any other protected categories protected by federal, state, or local laws. All offers of employment with AssistRx are conditional based on the successful completion of a pre‑employment background check. In compliance with federal law, all persons hired will be required to verify identity and eligibility to work in the United States and to complete the required employment eligibility verification document form upon hire. Sponsorship and/or work authorization is not available for this position. AssistRx does not accept unsolicited resumes from search firms or any other vendor services. Any unsolicited resumes will be considered property of AssistRx and no fee will be paid in the event of a hire. #J-18808-Ljbffr AssistRx, Inc.