Senior Marketing Analytics & Data Quality Lead

Arvest Bank; Tulsa (OK); On-site; USD 107,000 - 134,000; Full time

Job summary

Arvest Bank is seeking a Marketing Senior Data Analyst to lead data quality, architecture, and analytics across multi-cloud marketing environments. You will drive validation, join integrity, and pipeline reliability while mentoring analysts and delivering executive dashboards.

The role requires deep SQL, data governance, and experience with BigQuery and Salesforce ecosystems, with responsibilities spanning data sourcing, modeling, and activation in SFMC/FSC.

Qualifications

• Data analytics, data engineering, BI experience across banking environments.
• Expertise in SQL, ETL/ELT pipelines, and data validation.
• Experience with cloud data warehouses and CRM/marketing ecosystems.
• Familiarity with data governance, privacy rules, and compliance.
• Proven mentorship of analysts and code-review practices.

Responsibilities

• Own data validation framework; QA, reconciliation, automated integrity checks.
• Establish SOPs for query design and dataset transformations; audit joins.
• Lead extraction and staging of core banking data and CDP profiles.
• Coordinate data flow between Google BigQuery, Salesforce platforms, and SFMC.
• Develop dashboards to measure CAC, LTV, ROI for executives.
• Mentor analysts; conduct peer reviews of SQL/Python code.
• Collaborate with governance and IT to maintain data definitions and controls.
• Adhere to bank policies and compliance requirements; participate in training.

Skills

SQL proficiency

Data quality management

Mentoring

Stakeholder collaboration

Query optimization

Education

Bachelor's Degree

Master's Degree

Tools

Google BigQuery

Salesforce Data Cloud

Salesforce Marketing Cloud

Salesforce FSC

Python

R

Tableau

Job description

Arvest Bank is seeking a Marketing Senior Data Analyst to lead data quality, architecture, and analytics across multi-cloud marketing environments. You will drive validation, join integrity, and pipeline reliability while mentoring analysts and delivering executive dashboards.

The role requires deep SQL, data governance, and experience with BigQuery and Salesforce ecosystems, with responsibilities spanning data sourcing, modeling, and activation in SFMC/FSC.