Senior Marketing Data Analyst — Data Integrity & Insights

Arvest Bank Group; Lowell (AR); Sur place; USD 107 000 - 134 000; Plein temps

Avantages offerts par ce poste

Health benefits

Life insurance

Financial benefits

Wellness program

Résumé du poste

Arvest Bank Group is seeking a Marketing Senior Data Analyst to serve as the data integrity lead for the marketing analytics team. You will ensure end-to-end data quality, integrity of joins, and reliable pipelines across multi-cloud architectures, including BigQuery and Salesforce platforms.

You will mentor analysts, conduct code reviews, and collaborate with governance and compliance to ensure data privacy and regulatory controls. This role requires strong SQL, Python, and BI tooling expertise.

Qualifications

• 6+ years in data analytics, data engineering, BI, or marketing tech environments.
• 4+ years of expert SQL experience with complex joins and ETL/ELT pipelines.
• Proven data quality management and metadata validation experience.
• Hands-on with cloud warehouses (Google BigQuery) and CDPs/CRM marketing ecosystems.

Responsabilités

• Own data validation framework from ingestion to activation.
• Define SOPs for query design, dataset transforms, and multi-table joins.
• Source, extract, and stage core banking data and CDP/3rd-party datasets for production-ready views.
• Oversee data flow across BigQuery, Salesforce Data Cloud, SFMC, and FSC integration.

Connaissances

SQL

Python

Data validation

BigQuery

Tableau

Formation

Bachelor’s Degree

Master’s Degree

Outils

Salesforce Data Cloud

SFMC

FSC

Description du poste

Arvest Bank Group is seeking a Marketing Senior Data Analyst to serve as the data integrity lead for the marketing analytics team. You will ensure end-to-end data quality, integrity of joins, and reliable pipelines across multi-cloud architectures, including BigQuery and Salesforce platforms.

You will mentor analysts, conduct code reviews, and collaborate with governance and compliance to ensure data privacy and regulatory controls. This role requires strong SQL, Python, and BI tooling expertise.