• Automate data analysis and extraction processes • Collect, clean, and interpret data from multiple sources, ensuring quality, consistency, and reliability • Develop, maintain, and enhance dashboards and reports using tools such as **Looker Studio** or **Power BI** • Create, optimize, and maintain **SQL** queries for data extraction and manipulation • Analyze trends, patterns, and behaviors to generate strategic insights • Support the development of statistical and predictive models to aid decision-making • Collaborate with technology and business teams to gather requirements and develop data-driven solutions • Ensure data governance, security, and best practices in data usage • Work with digital product metrics and business indicators • Perform data modeling • Conduct exploratory data analyses (identifying patterns, outliers, and opportunities) • Integrate data via APIs (Google, Meta, Taboola, and other sources) • Produce and maintain technical documentation • Identify and implement event triggers on websites (tagging) for digital product analytics • Work with **GTM (Google Tag Manager)** at an advanced level • Work with **GA4** at an advanced level • Master Google tools and products such as **AdSense** and **Ad Manager**

• Designing and launching surveys that will be taken by hundreds of thousands of Americans • Managing the fielding of multiple surveys simultaneously to ensure sufficient data collection on time and on budget • Tracking timelines and priorities and liaising between data scientists, engineers, and client-facing stakeholders • Supporting external outreach efforts, including presentations to clients, political partners, and other vendors and consultants • Analyzing data to answer questions from political strategists and clients • Building subject matter context and thinking critically about our data in order to discern real trends versus potential bugs to flag for our machine learning data scientists • Contributing new ideas to the ways we analyze, interpret, and communicate our data

• Performing deep-dive analysis to understand and optimize key levers of our product’s marketing funnel: acquisition, activation, engagement, and retention. • Designing core metrics that serve as North Stars for team efforts and OKRs. • Conducting quarterly prioritized analysis projects targeted at revenue and user growth. • Conducting ad-hoc analyses as defined by cross-functional partners and prioritized weekly. • Managing and maintaining dashboards in Periscope that relate operational performance across company departments and track key company metrics. • Working with product managers and engineers to design data products and run A/B experiments. • Working directly with product and business stakeholders to translate the questions and hypotheses into structured analysis. • Owning data analysis and visualization, and communicating the outcomes/insights to various partners (marketing, data, product, eng) to aid strategic decisions for improvements in experience for users.

• Design and maintain internal QuickSight dashboards that allow leadership to track company performance in real-time. • Monitor and report on core commercial metrics including MRR/ARR, Net Revenue Retention (NRR), Churn, and CAC/LTV ratios. • Write high-performance SQL in Amazon Athena to join disparate datasets from S3 into clean, analysis-ready tables. • Act as a bridge between technical data and business strategy. You don't just report numbers; you highlight trends, risks, and growth opportunities. • Work with AWS Glue to ensure that internal stakeholders are always looking at "one version of the truth." • Identify drivers within data subsets to build "what-if" scenarios and predictive models for core SaaS metrics (MRR, NRR, LTV), enabling leadership to pinpoint root causes and accurately forecast growth.