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Agent guide: [/agents.md](https://www.wearedevelopers.com/agents.md). --- # Senior Data Analyst - **Company:** Philip Morris International Inc. - **Location:** Miami, FL, United States - **Experience:** Expert - **Salary:** $104,000.0 - $130,000.0 - **Contract:** Permanent contract - **Skills:** Agile Methodology, Data Analysis, Profiling, Data as a Services, Data Architecture, Data Validation, Data Cleansing, Data Governance, Extract Transform Load (ETL), Data Mapping, Data Transformation, Data Profiling, Data Systems, Database Queries, Distributed Data Store, Python (Programming Language), Metadata, SQL Databases, Scripting, Snowflake - **Published:** May 19, 2026 - **Apply:** https://www.indeed.com/viewjob?jk=09bc890192ebd4e0 ## About the Role * 5+ years of experience as a Data Analyst, Data Quality Analyst, or similar role. * Strong SQL skills for profiling, testing, and data validation across large distributed data sets. * Prefer experience resource with Snowflake experience, Python and/or any scripting languages * Experience with data quality tools, profiling frameworks, and metadata/catalog platforms (e.g., Atlan, Data Quality Monitoring, etc.). * Good understanding of ETL/ELT processes, data modeling concepts, and enterprise data architectures. * Prior experience creating source-to-target mappings and data transformation specifications. * Strong technical, analytical, communication, and problem-solving skills. * Legally authorized to work in the U.S. * Fluent in English. ## Description We are seeking a highly skilled and innovative Senior Data Analyst to become part of our Data Services team. This role requires someone with exceptional attention to detail, strong analytical abilities, and extensive experience in both data analysis and gathering data requirements. The successful candidate should be adept at collaborating across business and technology functions, demonstrating solid technical proficiency through hands-on involvement with data profiling, data mapping, and supporting data validation processes. Moreover, a thorough grasp of agile methodologies is crucial for success in our fast-paced and evolving environment. Your 'day to day': * Perform comprehensive data profiling to assess data consistency, completeness, uniqueness, and validity. * Produce detailed profiling reports and communicate findings with data architect, data engineers, SMEs, and business stakeholders. * Collaborate with data governance teams to define and create DQ rules across key dimensions such as accuracy, timeliness, validity, anomaly detection, and uniqueness. * Create end-to-end source-to-target mapping for ingestion, transformation, and delivery layers. * Work closely with data architect, data engineers to validate mapping logic, transformations, and business semantics. * Ensure metadata completeness (column definitions, tags, PII classification, confidentiality levels) and consistency across source systems and target data models. * Create SQL-based test queries to validate data transformations, mappings, business rules, and integration points. * Document test evidence, summarize results, and ensure all approvals are captured in project artifacts. * Partner with data engineers, data modelers, architects, and domain SMEs to deliver high-quality data solutions. * Support data governance teams by providing inputs for classification, lineage enrichment, and metadata catalog updates. ## Related Videos - [How Cisco embraced a DevOps culture within its network engineering team](https://www.wearedevelopers.com/videos/99-how-cisco-embraced-a-devops-culture-within-its-network-engineering-team) - [A Data Mesh needs Open Metadata](https://www.wearedevelopers.com/videos/505-a-data-mesh-needs-open-metadata) - [Profiling Symfony & PHP apps with Blackfire](https://www.wearedevelopers.com/videos/265-profiling-symfony-php-apps-with-blackfire) - [Data Science in Retail](https://www.wearedevelopers.com/videos/586-data-science-in-retail) - [How building an industry DBMS differs from building a research one](https://www.wearedevelopers.com/videos/768-how-building-an-industry-dbms-differs-from-building-a-research-one) - [Hacking AI at the Edge of the Indian Ocean](https://www.wearedevelopers.com/videos/100177-hacking-ai-at-the-edge-of-the-indian-ocean) ## Related Articles - [Data Analyst Salary in the UK](https://www.wearedevelopers.com/magazine/278-data-analyst-salary-in-the-uk) - [Data Analyst Salary in Switzerland](https://www.wearedevelopers.com/magazine/276-data-analyst-salary-in-switzerland) - [Data Analyst Salary Germany](https://www.wearedevelopers.com/magazine/277-data-analyst-salary-germany) - [Data Analyst Salary Austria](https://www.wearedevelopers.com/magazine/275-data-analyst-salary-austria) - [Data Engineer Salary UK](https://www.wearedevelopers.com/magazine/253-data-engineer-salary-uk) - [Highest Paying Tech Companies for Developers](https://www.wearedevelopers.com/magazine/220-highest-paying-tech-companies-for-developers)