Digital Analyst II

GM Financial; Irving (TX); Hybrid; USD 90,000 - 130,000; Full time

Benefits offered by this job

401K matching

Tuition assistance

GM employee auto discount

9 company holidays

Paid parental leave

Job summary

GM Financial Technology is seeking a data analytics professional to drive insights, build reports and dashboards, and partner with stakeholders to improve business decisions. You will explore enterprise data with SAS, Python, and Databricks, and deliver compelling Power BI visuals that track KPIs and performance.

You will translate complex analyses into concise, actionable recommendations, support data quality initiatives, and manage multiple analytics projects in a fast‑paced, collaborative

Qualifications

• 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.

Responsibilities

• 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.)

Skills

Data storytelling

Stakeholder engagement

Cross-functional collaboration

Communication

Critical thinking

Education

Bachelor's degree in quantitative field

Master’s degree preferred

High School Diploma or equivalent

Tools

SAS

Python

SQL

Databricks

Power BI

Job description

Why GM Financial Technology

Innovation isn’t just a talking point at GM Financial, it’s how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We’re committed to AI‑powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.

Job Description

Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.

Responsibilities

NOTE: We are unable to consider candidates who require visa sponsorship for this position

• 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.)

Qualifications

• 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.

Education & Work Experience

• 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.

Additional Knowledge And Skills

• Ability to use AI tools (e.g., Microsoft Copilot) to support daily work.
• Skills in evaluating AI outputs for accuracy, compliance, and bias.
• Experience integrating AI into workflows to improve efficiency or insights.
• Familiarity with AI assisted research, summarization, and content generation.
• Understanding of responsible AI use, including ethics and data protection.

AI Skills Preferred

• Experience with AI assisted software development or automation.
• Knowledge of prompting techniques to improve output quality.
• Awareness of emerging GenAI capabilities and limitations.

What We Offer

Generous benefits package available on day one: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.

Our Culture

Our team members define and shape our culture — an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. We thrive together.

Compensation

Competitive pay and bonus eligibility.

Work‑Life Balance

Hybrid work environment, 2 days a week in office.

NOTE: We are unable to consider candidates who require visa sponsorship for this position

This position is not open to agency submissions.