Senior Data Analyst

trustwill; United States; On-site; USD 110,000 - 170,000; Full time

Job summary

Trust & Will is seeking a Senior Data Analyst to own the end-to-end analytical engine behind the business. You will work across marketing and revenue to understand what drives conversion, retention, and lifetime value and translate findings into actionable decisions.

This role goes beyond reporting; you will define questions, build models, and guide the roadmap with data-driven recommendations, partnering with leadership and senior stakeholders.

Qualifications

• End-to-end analytics ownership across marketing and revenue.
• Ability to translate complex findings for non-technical stakeholders.
• Startup experience and autonomy in building analytics functions.

Responsibilities

• Own the end-to-end analytical engine behind marketing and revenue decisions.
• Define questions worth asking, build models, and guide the roadmap with data.
• Develop and maintain data models and semantic layer for self-serve analytics via BI and AI.
• Mentor junior analysts and evangelize analytical rigor across teams.

Skills

Data modeling

SQL

Stakeholder communication

Autonomy

AI tools

Tools

Snowflake

BI platforms

Job description

Founded in 2017, Trust & Will is the leading digital estate planning platform, trusted by over one million users. We provide modern, accessible solutions to help families protect their legacies with attorney-approved, legally valid documents tailored to individual state requirements. Our seamless online platform simplifies the estate planning and settlement process, empowering individuals to create wills and trusts while also partnering with financial advisors, attorneys, and institutions to make legacy planning more inclusive and affordable.

About You:

• You are a clear, concise communicator who can translate a complex regression or other mathematical reasoning into a one-paragraph recommendation for a non-technical stakeholder.
• You are a data engineering and analyst hybrid equally comfortable building a data model and presenting the business implication to a Manager.
• You have startup experience and know what it means to stand up an analytics function, ship scrappy analyses, and build toward rigor not wait for it.
• You treat experimentation as a discipline , not a buzzword. You design tests, size samples, interpret results correctly, and know when an A/B test isn't the right tool.
• You think in systems you connect your pipelines to business outcomes and are never satisfied stopping at the metric without asking why.
• You operate with high autonomy and you identify the most important question, define the tim approach, execute the analysis, and deliver the recommendation without a detailed playbook.
• You consider yourself AI-native and actively engage AI tools to accelerate your analytical, and data workflows, automate repetitive queries, and surface insights faster.

About the Role:

We're looking for a Senior Data Analyst to own the end to end analytical engine behind Trust & Will. This is a high-ownership role: you'll work across marketing, and revenue to understand what's driving conversion, retention, and lifetime value and you'll translate those findings into decisions that move the business.

This is not a reporting role. You will define the questions worth asking, build the models that answer them, guide the roadmap based on what the data shows. You'll partner closely with the Director of Data Engineering, engineering, and marketing leadership and you'll have direct access to senior stakeholders.

The core challenge is analytically interesting: estate planning is a low-frequency, high-intent product with a B2C direct channel and a growing B2B2C advisor network. Understanding how different user segments activate, convert, and retain and which levers compound requires real analytical depth.

You'll have the data, the infrastructure, and the mandate to figure it out.

Data Modeling & Integrity

Own the development of our data models within the lakehouse architecture; prioritize high-performance SQL, comprehensive documentation, and robust testing protocols.
Serve as a first line of defense for data reliability , proactively identifying and resolving upstream quality issues before they impact executive dashboards.
Architect the semantic layer and analytical structures that enable seamless self-serve exploration via AI and traditional BI platforms.

Stakeholder Partnership & Communication

Serve as the primary data partner for marketing and engineering leadership, owning the analytical workstreams that support quarterly roadmap decisions.
Prepare and deliver data-driven recommendations to senior stakeholders and the executive team punchline first, minimum viable backstory, clear ask.
Mentor junior analysts and product/eng on methodology, communication, and prioritization; help build team-wide analytical standards.

Daily Analytical Work

For example, manage the Marketing Monitor , a 13-week rolling performance report tracking Gross Sales, multi-channel revenue (D2C, Advisor, Partnership), and unit economics (CAC, ARPM, CVR) with automated alerting.
Scale and optimize the suite of recurring analytical dashboards utilized by cross-functional leadership for weekly strategic calibration.
Guarantee data reliability and pipeline freshness; proactively interpret anomalies within an alerting framework to distinguish between statistical noise and meaningful business shifts.

Ad Hoc Analytics

Serve as the primary analytics responder for the business fielding requests from Finance, Marketing, Ops, Member Success, Partnerships, and Product. No data request is too small, but you also know when to use AI (or not).
Translate vague business questions into well-scoped analytical problems, execute them in Snowflake/SQL, and deliver findings with a clear recommendation.
Proactively surface insights from data monitoring flag anomalies, trends, or risks before stakeholders ask.
Own ticket resolution quality: well-documented