Sr Analyst Customer Analytics - General Motors Insurance

GM Financial; Fort Worth (TX); Remote; USD 80,000 - 120,000; Full time

Job summary

GM Financial is seeking a Senior Analyst for Customer Analytics to join their innovative insurance team. This role focuses on leveraging data science to enhance customer acquisition and retention through advanced analytics and predictive modeling. The ideal candidate will have a strong background in data analysis and experience with BI tools. Enjoy a competitive salary, benefits, and a fully remote work environment.

Benefits

401K matching

Parental leave

Tuition assistance

Auto discounts

Community service pay

Holidays

Qualifications

• 5+ years in data analysis, project management, and presentation.
• 2+ years experience with SAS/SQL/Python.
• Experience conducting A/B tests.

Responsibilities

• Build weekly dashboards and reports to analyze business metrics.
• Conduct analyses to enhance process efficiency and recommend actions.
• Develop predictive models to support decision-making.

Skills

Data analysis

Predictive modeling

Statistical analysis

Problem-solving

Communication

Education

Bachelor’s Degree in a quantitative field

Master’s Degree (preferred)

Tools

Python

R

Power BI

Tableau

Looker

SAS

SQL

Job description

Sr Analyst Customer Analytics - General Motors Insurance

Join to apply for the Sr Analyst Customer Analytics - General Motors Insurance role at GM Financial

Job Description

Why General Motors Insurance Data Analytics?
We are building the next great business within General Motors, an insurance company that will disrupt the traditional model using our advantages as a subsidiary of the largest US automaker. Our success depends on making disciplined, principled decisions at scale based on rigorous data and machine learning. We aim to leverage data science to enhance acquisition and telematics, creating a simple, customer-loved insurance product.

About The Role

• Build weekly dashboards and reports to analyze and monitor business metrics.
• Use multiple data sources and tools to interpret customer behavior and provide insights to improve performance and efficiency.
• Perform ad hoc analyses to improve customer satisfaction and retention.
• Conduct analyses to enhance process efficiency and recommend actions to stakeholders.
• Assist in data management, governance, and quality assurance across departments.
• Develop predictive models to support decision-making.
• Create monthly forecasts of key metrics.
• Design and analyze A/B and multivariate tests, communicating results and recommendations.
• Establish relationships with stakeholders to align growth strategies.
• Analyze data to improve financial and operational performance.

Qualifications

• Advanced knowledge of data analysis, predictive modeling, and forecasting techniques.
• Experience with statistical analysis and software (e.g., Python, R).
• Proficiency with Business Intelligence tools such as Power BI, Tableau, or Looker.
• Experience conducting A/B tests.
• Understanding of technical systems and data architecture.
• Ability to interpret data, create summaries, and deliver insights.
• Strong problem-solving and communication skills.
• Self-starter with minimal supervision and mentorship abilities in SQL and ETL processes.

Experience & Education

• Bachelor’s Degree in a quantitative field; Master’s preferred.
• 5+ years in data analysis, project management, and presentation.
• 2+ years experience with SAS/SQL/Python.
• Predictive analytics experience is a plus.

What We Offer: Benefits include 401K matching, parental leave, tuition assistance, auto discounts, community service pay, and holidays.

Our Culture: An environment fostering innovation, integrity, and community.

Compensation: Competitive pay and bonuses.

Work Life Balance: 100% remote.