Digital Analyst II

GM Financial

Digital Marketing Analyst II at GM Financial supporting data-driven decision-making across enterprise. Collaborating with stakeholders to deliver insightful analyses and maintain performance dashboards.

Posted 6/24/2026full-timeIrving • Texas • 🇺🇸 United StatesMid-LevelSeniorWebsite

Tech Stack

Tools & technologies

PythonSQL

About the role

Key responsibilities & impact

Digital Marketing Analyst II is responsible for supporting data-driven decision-making across the enterprise.
Collaborate with cross-functional stakeholders to understand business needs, define KPIs, and align analytics deliverables with organizational goals.
Perform exploratory data analysis using SAS, Databricks, and Python to identify trends, patterns, and insights across enterprise data sources.
Design, build, and maintain reports and interactive dashboards in Power BI to track performance and support decision-making.
Validate data accuracy and integrity by identifying discrepancies and partnering with technical teams to resolve data quality issues.
Translate analytical findings into clear, actionable insights through concise storytelling, presentations, and written summaries.
Manage multiple analytics projects simultaneously while adapting to changing priorities and stakeholder requirements.
Support experimentation and testing (A/B, multivariate, etc.)

Requirements

What you’ll need

Proficiency in data analysis using SAS, Python, SQL, and large-scale data platforms such as Databricks.
Experience building reports and interactive dashboards using Power BI or comparable business intelligence tools.
Strong understanding of data validation, data quality management, and consistent KPI definitions.
Ability to translate complex analyses into clear, actionable insights through effective data storytelling.
Strong critical thinking and problem-solving skills that connect analytical results to business decisions.
Effective written and verbal communication skills with the ability to engage stakeholders at varying levels of data literacy.
Ability to manage multiple priorities in a fast-paced, cross-functional environment.
3–5 years of relevant professional experience in data analytics, business intelligence, or a related analytical role required.
2–4 years of hands-on experience using analytics tools and technologies such as SAS, Python, Databricks, and Power BI required.
Demonstrated experience supporting cross-functional stakeholders with data analysis, reporting, and decision support.
High School Diploma or equivalent required
Bachelor’s Degree in Marketing, Economics, Business Administration, Statistics, or other quantitative discipline; or equivalent work experience required
Master’s Degree in a quantitative discipline preferred

Benefits

Comp & perks

401K matching
bonding leave for new parents (12 weeks, 100% paid)
tuition assistance
training
GM employee auto discount
community service pay
nine company holidays

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills & Tools

data analysisSASPythonSQLdata validationdata quality managementKPI definitionsdata storytellingcritical thinkingproblem-solving

Soft Skills

effective communicationstakeholder engagementadaptabilityproject managementtime managementcollaborationanalytical thinkingpresentation skillsstorytellingmulti-tasking

Certifications

Bachelor’s DegreeMaster’s DegreeHigh School Diploma