Sr Analyst, Revenue Assurance

DIRECTV•El Segundo, CA

1d•Remote

About The Position

DIRECTV serves tens of millions of subscribers — and every dollar of that revenue flows through systems that depend on the accuracy, integrity, and intelligence of our data. As our Lead Analyst of Revenue Assurance, you won't just monitor billing pipelines. You'll be the person who finds what others miss, builds the models that catch leakage before it happens, and shapes the decisions that protect revenue at scale and drive value for the enterprise. Your analysis will directly influence how DIRECTV bills, audits, and optimizes revenue across one of the largest entertainment subscriber bases in the country.

Requirements

3 – 5 years of experience in data analytics, revenue assurance, or a related analytical role — ideally in a large-scale subscription services billing business.
Strong hands-on proficiency with Python, SQL, and cloud-based data platforms (Databricks).
A finance or business acumen layer on top of your technical skills — you understand why revenue numbers matter, not just how to compute them.
Proven ability to work cross-functionally and communicate complex analytical findings to non-technical stakeholders.
Curiosity-driven mindset: you don't just answer questions, you ask better ones.
Bachelor's degree or equivalent combination of education and experience.

Nice To Haves

Machine Learning experience is a strong plus — especially for building anomaly-detection and predictive models that proactively surface revenue leakage, improve billing accuracy, and automate monitoring at scale.

Responsibilities

Lead the full revenue assurance function — monitoring, baselining, auditing, synchronizing, investigating, and compliance — with an analytical lens that turns raw data into business insight.
Partner with Corporate, Network, Sales & Marketing, and Customer Operations to ensure billing accuracy and drive cross-functional alignment on revenue-impacting initiatives.
Build and maintain robust data pipelines, models, and self-service tools using Databricks, Python, and SQL on modern cloud infrastructure.
Develop behavioral models of usage and user patterns to surface insights that influence product roadmap decisions.
Design and execute experiments to validate product changes and attribute revenue impact with confidence.
Define and track key metrics in close collaboration with business partners and vendors to drive measurable outcomes.
Translate complex business problems into clear analytical frameworks — and turn findings into action.