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 with expert level experience to analyze data from multiple sources. This role will be responsible for leveraging advanced analytics techniques to support strategy by analyzing our product performance including reporting for senior leadership and insights to help drive decisions. The ideal candidate will have a strong background in data analysis, statistical modeling, and marketing analytics, with the ability to translate complex data into clear, actionable recommendations. Here's what you’ll do: Track and analyze key performance indicators (KPIs) including sales, upsells, conversions, and other relevant metrics to inform product management and marketing decisions. Analyze marketing campaign performance and measure effectiveness across multiple tactics and translate data into insights. Leverage AI and LLM’s to mine text transcripts for actionable insights driving base management strategy. Analyze product usage data focusing on engagement and sales insights. Measure and report on product performance and marketing performance for new and existing products. Present actionable insights to empower cross-functional decision-makers and key stakeholders. Automate process to deliver insights at the speed of the business. Oversee complex data analysis projects, including predictive modeling, segmentation, and engagement analysis. Ensure data quality, integrity, and compliance with relevant regulations and company policies. Develop and maintain strong relationships with internal stakeholders and external partners to drive data-informed decision-making across the organization. What you’ll need to be successful: Degree in statistics, mathematics, computer science, economics, business or related quantitative field preferred; Master's degree a plus! 3 – 5 years of related experience in advanced analytics, data science, big data, relational database structures, reporting, dashboarding, ad hoc analysis required, 5+ years of experience preferred. Excellent at aggregating and synthesizing data in information into insights, utilizing analysis and data visualization to tell a data story. Expertise in Python, SQL, Databricks, Snowflake, Tableau, disparate data sets, data visualization tools. Experience leveraging casual inference, AB testing, and machine learning in data analysis. Strong oral, written, and interpersonal communication skills, must be capable of explaining complex information to others in straightforward manner. Recommend solutions to improve performance based on analysis. Must have excellent organizational, analytical, and time management skills. 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. Required Skills/Experience: Strong SQL and Python Database Management: SQL, Pyspark Apache Modeling Tools: Python and/or R Big Data Platforms: Databricks and/or Snowflake Visualization Tools: Tableau and/or PowerBI 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.
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