Lead Marketing Advanced Analytics

DIRECTV; United States; Remote; USD 105,000 - 193,000; Full time

Job summary

An innovative company is seeking a Lead Marketing Advanced Analytics Manager to drive data-driven decision-making. This remote position requires expertise in building robust data pipelines and performing advanced data analysis. You'll design and optimize pipelines using cutting-edge technologies like Databricks and Snowflake, while also ensuring data integrity and compliance. Join a team dedicated to redefining the future of entertainment, where your analytical skills will lead to impactful insights and contribute to groundbreaking innovations in the industry.

Qualifications

• 5+ years in data engineering with focus on ETL pipeline design and optimization.
• Expertise in data quality frameworks and auditing standards.

Responsibilities

• Design and maintain scalable data pipelines using Databricks and Snowflake.
• Collaborate with stakeholders to deliver reliable data products.

Skills

Python

SQL

Spark

Scala

Databricks

Snowflake

Tableau

Data Pipeline Design

Data Auditing

Data Visualization

Education

Bachelor's Degree in Statistics

Master's Degree (preferred)

Tools

Tableau

PowerBI

Oracle

Job description

At DIRECTV, our amazing people, combined with a culture that thrives on collaboration and creativity, are the foundation that create a great place to work. We empower our people to push the limits of what’s possible, driving groundbreaking innovation each and every day. We’re redefining the future of entertainment and we’re ready for you to play a big part in that future too.

DIRECTV is seeking a highly skilled and experienced Lead Marketing Advanced Analytics Manager with 5+ years of hands-on experience in building robust pipelines, performing advanced data mining, data engineering, and driving transparency through data auditing and visualization. This role will be critical in designing and optimizing pipelines on Databricks using Spark, Scala, Python, and SQL, while leveraging Snowflake for scalable processing and Tableau for reporting. You’ll work closely with data consumers and engineering teams to ensure data integrity, audit compliance, and actionable insights.

Here's what you’ll do:

1. Design, build, and maintain scalable and auditable data pipelines using Databricks (Spark/Scala/Python/SQL) and Snowflake.
2. Own the data validation lifecycle—including source-to-target reconciliation using Oracle, data profiling, and anomaly detection.
3. Conduct deep-dive data mining to uncover patterns, inconsistencies, and opportunities for business action.
4. Develop and maintain data visualizations and dashboards in Tableau to support transparency and decision-making.
5. Implement data quality checks and automated alerting for pipeline failures, anomalies, and audit flags.
6. Collaborate with analysts, scientists, and business stakeholders to gather requirements and deliver reliable data products.
7. Optimize existing pipelines for performance, scalability, and operational simplicity.
8. Document data lineage, pipeline logic, and metadata clearly and consistently.

What you’ll need to be successful:

1. Degree in statistics, mathematics, computer science, economics, business or related quantitative field preferred; Master's degree a plus!
2. 3 – 5 years required, 7+ years of experience preferred in data engineering with a strong focus on ETL pipeline design, data auditing, and performance optimization.
3. Comfortable working in cloud-based data environments.
4. Excellent at aggregating and synthesizing data into insights, utilizing analysis and data visualization to tell a data story.
5. Expertise in Python, SQL, Databricks, Snowflake, disparate data sets, data mining, data visualization tools.
6. Understanding of data quality frameworks, auditing standards, and lineage documentation.
7. Expertise in MS Office suite.
8. Strong oral, written, and interpersonal communication skills, capable of explaining complex information straightforwardly.
9. Excellent organizational, analytical, and time management skills.
10. Ability to translate ambiguous business needs into structured data workflows.

Required Skills/Experience:

1. Spark/Scala/Python
2. Database Management: SQL
3. Big Data Platforms: Databricks and/or Snowflake
4. Visualization Tools: Tableau and/or PowerBI
5. Data Pipeline Design, Auditing, and Validation

May require a background check due to job duties requiring routine access to DIRECTV and DIRECTV customer’s proprietary data. Qualified applicants with arrest and conviction will be considered for employment in accordance with local ordinances and state law.

This is a remote position that can be located anywhere in the United States. #LI-Remote

A career with us comes with big rewards:

DIRECTV's compensation structure is designed to be market-competitive and fully supports efforts to attract and retain employees. It is the company's policy to offer pay that is competitive with other employers in the local market. Our salary ranges are determined by role, level, and location.

The Base Salary range displayed below reflects the minimum and maximum target salary for each of DIRECTV's 4 (four) US Labor Market Zones. Within the range, individual pay is determined by work location and additional factors, including job-related skills, experience, and relevant education or training.

DIRECTV WAGE ZONES: $105,830 - $192,050

Low (N1): $105,830 - $158,650

Mid (N2): $111,400 - $167,000

High (N3): $122,540 - $183,700

Top (N4): $128,110 - $192,050

Click HERE to review information on some of the largest Designated Market Areas (DMAs). Your recruiter can share more about the specific salary range for your preferred location during the hiring process.

Please note that the salary ranges reflect base salary only and do not include bonus or benefits - when you consider all of these together, it represents a pretty impressive total compensation package.

Apply today!