Sr Data Analyst

Philip Morris International U.S.•Tampa, FL

7d•Hybrid

About The Position

Senior Data Analyst - Tampa, FL Be a part of a revolutionary change! At Philip Morris International (PMI), we’ve chosen to do something incredible. We’re totally transforming our business and building our future on one clear purpose – to deliver a smoke-free future. With huge change, comes huge opportunity. So, if you join us, you’ll enjoy the freedom to dream up and deliver better, brighter solutions and the space to move your career forward in endlessly different directions. Our success depends on people who are committed to our purpose and have an appetite for progress. About the role: 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.

Requirements

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.
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.

Nice To Haves

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.).

Responsibilities

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.

Benefits

We offer a competitive base salary, annual bonus (applicable based on level of position), great medical, dental and vision coverage, 401k with a generous company match, incredible wellness benefits, commuter benefits, pet insurance, generous PTO, and much more!
We have implemented Smart Work, a hybrid model of working that promotes flexibility in the workplace.

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