Marketing Data Product Analyst

📌 Core Information

🔹 Job Title: Marketing Data Product Analyst

🔹 Company: General Motors

🔹 Location: Warren, Michigan, United States

🔹 Job Type: On-site

🔹 Category: 📈 Marketing Analytics, 📊 Marketing Analyst

🔹 Date Posted: Mon Mar 31 2025

🔹 Experience Level: 2-5 years

🔹 Remote Status: Hybrid

📌 Essential Job Details

🚀 Job Overview

Key aspects of this role include:

• Design and manage integrated datasets for marketing and campaign analysis.
• Coordinate with data engineering teams to develop scalable data solutions.
• Lead technical discussions and implement marketing data platforms.
• Define roadmaps and backlogs for marketing data product enhancements.

ASSUMPTION: The role is likely involved in the company's strategic digital transformation initiatives, given the focus on data and technology integration for marketing purposes.

📋 Key Responsibilities

✅ Develop and articulate the marketing data product vision and strategic direction.

✅ Use domain expertise to evolve data products for marketing activities.

✅ Apply Kimball data modeling to integrate marketing data.

✅ Collaborate with cross-functional teams for dataset enhancement.

✅ Utilize SQL and Spark for data analysis and problem-solving.

ASSUMPTION: These responsibilities suggest a high level of interaction with both technical teams and business stakeholders, indicating the importance of strong communication skills.

🎯 Required Qualifications

Education: Bachelor's degree required, preferably in a related field.

Experience: 2+ years in data-intensive roles involving marketing campaigns and technologies.

Required Skills:

• Strong experience with SQL, Python, and Spark.
• Knowledge of data modeling methodologies.
• Experience in agile delivery processes.

Preferred Skills:

• Knowledge of Marketing Technology and digital marketing ecosystem.
• Intermediate to expert-level SQL/Python/Spark skills.

ASSUMPTION: The preference for SQL and Python/Spark skills suggests a focus on candidates who can efficiently handle large datasets and perform complex data analyses.

💰 Compensation & Benefits

Salary Range: Not specified. Candidates are advised to research industry standards for similar roles.

Benefits:

• Paid time off and parental leave.
• Comprehensive healthcare and wellness incentives.
• 401K savings plan with company contributions.

Working Hours: 40 hours per week with some flexibility in hybrid settings.

ASSUMPTION: Benefits package indicates a commitment to employee well-being and work-life balance, typical of large organizations like General Motors.

📌 Applicant Insights

🔍 Company Context

Industry: Motor Vehicle Manufacturing, with an emphasis on innovation and sustainability.

Company Size: 10,001+ employees, providing a broad range of career development opportunities.

Founded: Not Specified.

Company Description:

• Leader in automotive industry with focus on zero emissions, crashes, and congestion.
• Fosters an inclusive and diverse work environment.
• Encourages innovation and sustainability in transportation solutions.

Company Specialties:

• Automotive manufacturing
• Transportation engineering
• Electrification and software

Company Website: http://www.gm.com

ASSUMPTION: With its focus on innovation and sustainability, GM may offer unique opportunities for employees to work on cutting-edge automotive technologies.

📊 Role Analysis

Career Level: Mid-level, ideal for professionals with experience in data roles.

Reporting Structure: Likely reports to a senior manager or director in marketing analytics or data engineering.

Work Arrangement: Hybrid, combining on-site presence at the Warren location with some remote flexibility.

Growth Opportunities:

• Leadership roles in data product management.
• Opportunities to work on innovative automotive technologies.
• Engage in cross-functional team collaborations for broader industry impact.

ASSUMPTION: The hybrid work arrangement may provide flexibility while maintaining team collaboration, crucial for innovation and productivity.

🌍 Location & Work Environment

Office Type: Global Technical Center in a corporate environment with modern facilities.

Office Location(s): Warren, Michigan, with potential interactions at other GM locations for project collaborations.

Geographic Context:

• Proximity to Detroit, a significant hub for automotive innovation.
• Located in a vibrant area with access to key industry partners.
• Potential for collaborations with automotive and tech professionals in the region.

Work Schedule: Regular working hours with potential flexibility in hybrid settings.

ASSUMPTION: The location in Warren suggests potential involvement with major projects and accessibility to GM's broader resources and infrastructure.

💼 Interview & Application Insights

Typical Process:

• Initial screening by HR to gauge role fit.
• Technical interview focusing on data skills.
• Interview with hiring manager for cultural fit assessment.

Key Assessment Areas:

• Technical proficiency in SQL and Spark.
• Ability to articulate data-driven solutions.
• Collaboration and communication skills.

Application Tips:

• Highlight experience with SQL and data modeling in your resume.
• Prepare examples of successful data projects you’ve led or contributed to.
• Research GM’s current projects related to zero-emissions technology.

ATS Keywords: Data curation, SQL, Spark, Data engineering, Agile delivery, Marketing technology.

ASSUMPTION: The interview process likely emphasizes candidates' ability to contribute to GM's strategic goals of innovation and sustainability in marketing data management.

🛠️ Tools & Technologies

• SQL
• Azure Databricks
• Power BI

ASSUMPTION: Candidates with experience in these platforms will be better positioned to adapt quickly to GM's technical environment and data strategies.

👔 Cultural Fit Considerations

Company Values:

• Integrity and accountability
• Innovation and diversity
• Safety and sustainability

Work Style:

• Collaborative and team-oriented
• Innovative and willing to explore new ideas
• Focused on continuous improvement and results

Self-Assessment Questions:

• Are you passionate about leveraging data to drive marketing results?
• How do you handle complex data engineering challenges?
• Do you thrive in a diverse and team-driven environment?

ASSUMPTION: A cultural fit at GM would likely involve a strong alignment with the company’s commitment to technological innovation and sustainability.

⚠️ Potential Challenges

• Navigating a large and complex organizational structure.
• Balancing multiple priorities and projects simultaneously.
• Staying updated with rapidly changing data technologies.
• Ensuring data integrity across various systems and partners.

ASSUMPTION: Successfully managing these challenges will require strong organizational skills and a proactive approach to problem-solving.

📈 Similar Roles Comparison

• More technical focus compared to a standard marketing analyst role.
• Greater integration with data engineering compared to similar positions.
• Increased emphasis on cross-functional teamwork for comprehensive solutions.

ASSUMPTION: Comparisons suggest that this role may appeal to candidates looking for a more integrated technical and marketing-focused position.

📝 Sample Projects

• Developing a marketing data warehouse for campaign analysis.
• Implementing SQL-based solutions to streamline marketing datasets.
• Collaborating on data governance initiatives for marketing data integrity.

ASSUMPTION: These projects illustrate opportunities to engage in significant data initiatives that support GM's global marketing strategies.

❓ Key Questions to Ask During Interview

• How does this role contribute to GM's overall marketing and data strategy?
• What are the primary goals for the Marketing Data Product team?
• Can you describe the team structure and reporting lines?
• What key projects are on the horizon for this team?
• How does GM support professional development in this role?

ASSUMPTION: Asking these questions can help candidates assess alignment with the role's strategic goals and cultural environment.

📌 Next Steps for Applicants

To apply for this position:

• Submit your application through GM Careers
• Prepare your resume with highlighted SQL and data analysis projects
• Include a cover letter detailing your experience and interest in automotive marketing
• Gather references familiar with your data project leadership
• Expect to provide examples of past work during interviews

⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.