Senior Data Analytics Manager, Job ID 2026-1766

Internet Brands•El Segundo, CA

2d•Onsite

About The Position

The Sr. Manager's primary role is to drive insights and analysis support. You will provide guidance to other analysts on the team and work closely with business owners to interpret key performance metrics. In this role, you will operate within a dynamic, project-oriented environment, collaborating closely with cross-functional partners. To scale your impact, you will systematically integrate applied AI technologies into the team's daily processes. This includes utilizing LLMs, AI code editors, and custom agents to dramatically speed up data mining, automate SQL workflows, and improve the speed and clarity of insights delivered to business stakeholders. Strong analytical, AI-prompting, and communication skills are critical for this position.

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. Use AI-assisted code editors to quickly scaffold visual prototypes and write optimized SQL queries.
Identify repetitive manual steps within legacy analytics workflows and design 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 elevate team output and efficiency.
Leverage AI tools to convert complex technical analyses, requirements, and stakeholder feedback into clear, executive-ready presentations, summaries, and action plans. Deliver these findings directly to C-level executives.
Perform deep-dive analyses on web traffic, email, and app engagement data to measure success (click-through rates, retention, re-engagement, and A/B testing). 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. Ensure strict compliance with data privacy policies, fact-check AI-drafted reports, and maintain robust version control.
Partner with engineering teams to design flexible, automated solutions to continuously improve the company’s analytical capabilities.