📌 Core Information
🔹 Job Title: Lead Marketing Advanced Analytics
🔹 Company: DIRECTV
🔹 Location: El Segundo, California, United States (Remote)
🔹 Job Type: Full-Time
🔹 Category: Marketing
🔹 Date Posted: May 9, 2025
🔹 Experience Level: 5-10 years
🔹 Remote Status: Remote (US)
🚀 Job Overview
Key aspects of this role include:
- Designing and optimizing data pipelines using Databricks, Snowflake, and Tableau
- Performing advanced data mining and data engineering tasks
- Ensuring data integrity, audit compliance, and actionable insights
- Collaborating with data consumers and engineering teams
ASSUMPTION: This role requires a strong background in data engineering and analytics, with a focus on ETL pipeline design, data auditing, and performance optimization. Proficiency in Python, SQL, Databricks, Snowflake, and Tableau is essential.
📋 Key Responsibilities
✅ Design, build, and maintain scalable and auditable data pipelines using Databricks (Spark/Scala/Python/SQL) and Snowflake
✅ Own the data validation lifecycle, including source-to-target reconciliation, data profiling, and anomaly detection
✅ Conduct deep-dive data mining to uncover patterns, inconsistencies, and opportunities for business action
✅ Develop and maintain data visualizations and dashboards in Tableau to support transparency and decision-making
✅ Implement data quality checks and automated alerting for pipeline failures, anomalies, and audit flags
✅ Collaborate with analysts, scientists, and business stakeholders to gather requirements and deliver reliable data products
✅ Optimize existing pipelines for performance, scalability, and operational simplicity
✅ Document data lineage, pipeline logic, and metadata clearly and consistently
ASSUMPTION: This role requires strong analytical, communication, and organizational skills to work effectively with various stakeholders and ensure data integrity.
🎯 Required Qualifications
Education: Degree in statistics, mathematics, computer science, economics, business, or related quantitative field (Master's degree preferred)
Experience: 5+ years of experience in data engineering with a strong focus on ETL pipeline design, data auditing, and performance optimization (7+ years preferred)
Required Skills:
- Python, SQL, Databricks, Snowflake, Tableau
- Data pipeline design, data auditing, and performance optimization
- Data mining, data visualization, and data quality frameworks
- Excellent communication, analytical, and organizational skills
Preferred Skills:
- Experience with cloud-based data environments
- Ability to translate ambiguous business needs into structured data workflows
ASSUMPTION: Candidates with a strong background in data engineering and analytics, along with experience in designing and optimizing data pipelines, will be well-suited for this role.
💰 Compensation & Benefits
Salary Range: $105,830 - $192,050 (USD) per year, depending on location and experience level
Benefits:
- Competitive benefits package (details provided upon request)
Working Hours: Full-time, typically 40 hours per week
ASSUMPTION: The salary range provided is based on DIRECTV's wage zones and may vary depending on the candidate's location and experience level.
📌 Applicant Insights
🔍 Company Context
Industry: Entertainment. DIRECTV is a leading provider of satellite television services, offering a wide range of entertainment options, including live sports, movies, and TV shows.
Company Size: 10,001+ employees. As a large organization, DIRECTV offers a diverse range of opportunities and resources for employees.
Founded: 1994. DIRECTV has a long history in the entertainment industry and has evolved to offer streaming services in addition to satellite TV.
Company Description:
- DIRECTV is committed to delivering an entertainment experience above and beyond expectations and industry standards
- The company offers a wide range of content, services, and personalized experiences to its customers
- DIRECTV continues to innovate and embrace emerging technologies to enhance its products and services
Company Specialties:
- The DIRECTV Remote
- Satellite TV
- Streaming TV
- Live Sports
- Entertainment
- Reality TV
- Local Sports
Company Website: direc.tv/about
ASSUMPTION: DIRECTV's focus on innovation and customer experience creates an environment where employees can grow and make a significant impact.
📊 Role Analysis
Career Level: Mid-level to senior. This role requires a significant amount of experience in data engineering and analytics.
Reporting Structure: This role may report to the Director of Marketing Analytics or a similar position.
Work Arrangement: Remote (US). This role can be performed from anywhere in the United States.
Growth Opportunities:
- Potential to advance to a senior or management role within the marketing analytics team
- Opportunities to work on high-impact projects and gain exposure to various aspects of the business
- Chance to develop expertise in emerging technologies and data analytics techniques
ASSUMPTION: This role offers opportunities for growth and development within the marketing analytics team and the broader organization.
🌍 Location & Work Environment
Office Type: Remote. This role does not require a physical presence in the office.
Office Location(s): El Segundo, California (headquarters); however, this role can be performed remotely from anywhere in the United States.
Geographic Context:
- El Segundo is located in the Los Angeles metropolitan area, offering a diverse range of cultural, recreational, and dining options
- The area has a Mediterranean climate, with mild winters and warm summers
- El Segundo is home to several major corporations and offers a mix of urban and suburban living
Work Schedule: Full-time, typically 40 hours per week. The work schedule may be flexible, depending on the needs of the team and the organization.
ASSUMPTION: The remote work arrangement offers flexibility and the opportunity to work from anywhere in the United States.
💼 Interview & Application Insights
Typical Process:
- Phone or video screen with a member of the HR team
- Technical interview with a member of the marketing analytics team
- On-site or virtual interview with the hiring manager and other team members
- Final interview with the director or vice president of marketing analytics
Key Assessment Areas:
- Technical skills in data engineering, data mining, and data visualization
- Problem-solving abilities and analytical thinking
- Communication and collaboration skills
- Cultural fit and alignment with DIRECTV's values
Application Tips:
- Highlight relevant experience in data engineering, data mining, and data visualization
- Tailor your resume and cover letter to emphasize your skills and experience in relation to the job requirements
- Prepare for technical questions and be ready to discuss your approach to data pipeline design, data auditing, and performance optimization
- Research DIRECTV's products, services, and company culture to demonstrate your interest and enthusiasm for the role
ATS Keywords: Data engineering, data mining, data visualization, ETL pipeline design, data auditing, performance optimization, Python, SQL, Databricks, Snowflake, Tableau
ASSUMPTION: The application process for this role may involve multiple interviews and assessments to evaluate the candidate's technical skills and cultural fit.
🛠️ Tools & Technologies
- Databricks (Spark/Scala/Python/SQL)
- Snowflake
- Tableau
- Python
- SQL
ASSUMPTION: Proficiency in these tools and technologies is essential for success in this role.
👔 Cultural Fit Considerations
Company Values:
- Innovation
- Customer focus
- Collaboration
- Accountability
- Integrity
Work Style:
- Data-driven
- Collaborative
- Results-oriented
- Adaptable
- Detail-oriented
Self-Assessment Questions:
- Do you have a proven track record in designing and optimizing data pipelines using Databricks and Snowflake?
- Are you comfortable working in a remote environment and collaborating with team members across different time zones?
- Do you possess strong analytical, communication, and organizational skills?
ASSUMPTION: Candidates who align with DIRECTV's values and work style will be well-suited for this role.
⚠️ Potential Challenges
- Working with large and complex datasets may require significant time and effort to clean, transform, and analyze
- Collaborating with various stakeholders may require strong communication and project management skills
- Keeping up with the latest data engineering and analytics tools and techniques may require continuous learning and development
- Ensuring data integrity, audit compliance, and actionable insights may require a high level of attention to detail and quality control
ASSUMPTION: These challenges can be overcome with strong technical skills, effective communication, and a commitment to continuous learning and improvement.
📈 Similar Roles Comparison
- This role is similar to a Senior Data Engineer or Data Analytics Manager position, but with a stronger focus on marketing analytics and data visualization
- Compared to other data engineering roles, this position requires a deeper understanding of marketing analytics and customer behavior
- Career progression may involve moving into a senior or management role within the marketing analytics team or transitioning into a more specialized data engineering or analytics role
ASSUMPTION: This role offers a unique blend of data engineering and marketing analytics responsibilities, providing an opportunity to develop expertise in both areas.
📝 Sample Projects
- Designing and implementing a data pipeline to extract, transform, and load (ETL) marketing data from various sources into a data warehouse
- Performing data mining and analysis to identify trends, patterns, and opportunities in customer behavior and market trends
- Developing and maintaining data visualizations and dashboards in Tableau to support decision-making and communicate insights to stakeholders
ASSUMPTION: These sample projects demonstrate the key responsibilities and required skills for this role.
❓ Key Questions to Ask During Interview
- Can you describe the team structure and reporting relationships for this role?
- What are the most pressing data challenges facing the marketing analytics team, and how can this role help address them?
- How does DIRECTV support the professional development and growth of its employees, particularly in the marketing analytics team?
- What are the key priorities for this role in the first 30, 60, and 90 days?
- How does DIRECTV measure the success of its marketing analytics team and this role specifically?
ASSUMPTION: These questions can help candidates better understand the role, the team, and the company culture, and demonstrate their interest and enthusiasm for the position.
📌 Next Steps for Applicants
To apply for this position:
- Submit your application through this link: https://directv.wd1.myworkdayjobs.com/Careers/job/El-Segundo-CA/Lead-Marketing-Advanced-Analytics_R250147-1
- Tailor your resume and cover letter to highlight your relevant experience and skills in data engineering, data mining, and data visualization
- Prepare for technical interviews by brushing up on your knowledge of Databricks, Snowflake, Tableau, Python, and SQL
- Research DIRECTV's products, services, and company culture to demonstrate your interest and enthusiasm for the role
- Follow up with the hiring manager or HR representative one week after submitting your application to express your continued interest in the position
⚠️ This job description contains AI-assisted information. Details should be verified directly with the employer before making decisions.
