Senior Data Analyst – Data Quality & Mappings (Hybrid)

Philip Morris International U.S.; Tampa (FL); Hybrid; USD 104,000 - 130,000; Full time

Benefits offered by this job

Health insurance

Dental & Vision

401k match

Wellness benefits

Commuter benefits

Pet insurance

Generous PTO

Hybrid work model

Career development

Job summary

Philip Morris International U.S. in Tampa, FL is seeking a Senior Data Analyst to profile data, validate mappings, and collaborate with data governance and engineering teams.

The role emphasizes data quality, metadata management, SQL testing, and end-to-end data delivery. A strong SQL background, Snowflake experience, and Python scripting are preferred. We offer a hybrid work model and competitive compensation.

Qualifications

• 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.
• Experience with data quality tools, profiling frameworks, and metadata/catalog platforms.

Responsibilities

• Profile data quality and assess consistency, completeness, and validity.
• Produce profiling reports and communicate findings to data stakeholders.
• Define and create data quality rules across dimensions like accuracy and timeliness.
• Create end-to-end source-to-target mappings for ingestion, transformation, and delivery layers.
• Validate mappings and transformations with data engineers and data architects.

Skills

SQL

Data profiling

Data quality

Python

Tools

Snowflake

Atlan

Data Quality Monitoring

Job description

Philip Morris International U.S. in Tampa, FL is seeking a Senior Data Analyst to profile data, validate mappings, and collaborate with data governance and engineering teams.

The role emphasizes data quality, metadata management, SQL testing, and end-to-end data delivery. A strong SQL background, Snowflake experience, and Python scripting are preferred. We offer a hybrid work model and competitive compensation.