Data Integration & Enablement Analyst – On-site

Tap Growth ai; Salt Lake City (UT); On-site; USD 70,000 - 110,000; Full time

Job summary

Tap Growth ai is seeking a Data Analyst specializing in data integration and enablement in Salt Lake City. You will analyze and transform data from multiple sources to support business insights and informed decision-making.

The role requires strong SQL and Python skills, data profiling and mapping, and experience with ETL/ELT, data quality, and data lineage. Collaboration with stakeholders and data teams is essential for success.

Qualifications

• Strong SQL and Python for data analysis and automation.
• Data Profiling, Mapping and Validation are essential.
• Experience with source-to-target mapping and transformation logic.
• ETL/ELT, Data Integration and Data Reconciliation.
• Data Quality, Metadata Management and Data Lineage.
• Familiarity with Enterprise Data Warehouses, Data Lakes and ODS.
• Strong requirements gathering and stakeholder communication.
• Data troubleshooting, RCA and reporting.

Responsibilities

• Analyze, integrate and transform data from multiple sources to drive insights.
• Support data enablement and data quality initiatives across teams.
• Collaborate with stakeholders to define data requirements and enable decision-making.
• Develop and optimize data integration pipelines and automated workflows.
• Ensure data lineage and metadata are maintained across systems.

Skills

SQL & Python

Data Profiling

Data Mapping

ETL/ELT

Data Quality

Data Warehouses/Lakes/ODS

Stakeholder Communication

Data Troubleshooting

Tools

Databricks

dbt

GCP

Data Mesh

AI/GenAI

Job description

Tap Growth ai is seeking a Data Analyst specializing in data integration and enablement in Salt Lake City. You will analyze and transform data from multiple sources to support business insights and informed decision-making.

The role requires strong SQL and Python skills, data profiling and mapping, and experience with ETL/ELT, data quality, and data lineage. Collaboration with stakeholders and data teams is essential for success.