Senior Data Analytics Manager,

Internet Brands•El Segundo, CA

89d•$130,000 - $175,000•Onsite

About The Position

The Sr. Manager, Data Analytics (AI-Integrated Analytics) role is designed for an organized self-starter with a strong business sense who excels at data analysis, trend identification, and performance understanding. This position involves manipulating large datasets, building dashboards, and maintaining operational efficiency. The ideal candidate will have a passion for AI-forward practices, using generative AI to accelerate documentation, automate SQL and reporting tasks, prototype dashboards, and refine team workflows. This is a collaborative role within a dynamic, project-oriented environment, requiring close work with cross-functional partners and business owners to interpret key performance metrics. The primary goal is to drive insights and analysis support, while systematically integrating applied AI technologies into daily processes to enhance data mining, automate SQL workflows, and improve the speed and clarity of insights delivered to stakeholders. Strong analytical, AI-prompting, and communication skills are essential.

Requirements

6+ years of hands-on experience in an analytical role solving complex business and web-behavior problems.
Demonstrated experience managing, mentoring, and prioritizing workloads for other analysts.
Highly proficient (4+ years) in SQL for data analysis.
Highly proficient (3+ years) creating and optimizing Tableau workbooks.
Advanced Excel skills and a strong understanding of data warehousing concepts.
Extensive experience with digital marketing and web analytics platforms (e.g., Google Analytics, Adobe Analytics).
Practical experience using direct chat interfaces (ChatGPT, Claude, Microsoft Copilot) for iterative data synthesis, structured problem-solving, and prompt engineering.
Familiarity with AI-assisted code tools (e.g., Claude Code, Cursor, Windsurf) to accelerate front-end dashboard creation, SQL scripting, or basic platform prototyping.
Experience setting up AI-assisted workflows or simple automated agents with human-in-the-loop validation checkpoints.
Outstanding ability to translate complex quantitative metrics into clear, precise, and actionable recommendations for non-technical stakeholders.
Clear understanding of data security, privacy, and regulatory boundaries when utilizing generative AI tools with business datasets.

Responsibilities

Deliver high-impact performance summaries, trend analyses, and visualization dashboards using Tableau, SQL, and Excel, leveraging AI-assisted code editors for rapid prototyping and optimized SQL queries.
Identify and automate repetitive manual steps within legacy analytics workflows using AI-assisted processes to reduce friction, speed up data intake, and automate QA checklists.
Manage and mentor other analysts in SQL, data visualization, and the application of practical AI tools to enhance team output and efficiency.
Utilize AI tools to convert complex technical analyses, requirements, and stakeholder feedback into clear, executive-ready presentations, summaries, and action plans, delivering findings directly to C-level executives.
Perform deep-dive analyses on web traffic, email, and app engagement data to measure success metrics (click-through rates, retention, re-engagement, A/B testing) and provide digital marketing teams with actionable recommendations on ROI and behavior segmentation.
Deploy and configure workflow assistants or knowledge-retrieval agents (such as Microsoft Copilot) to streamline recurring documentation, FAQ responses, and internal data requests.
Serve as the final authority on all AI-generated outputs, ensuring strict compliance with data privacy policies, fact-checking AI-drafted reports, and maintaining robust version control.
Partner with engineering teams to design flexible, automated solutions to continuously improve the company’s analytical capabilities.