Sr. Data Analyst

Insurance plays an important role in people’s lives, providing protection and peace of mind through life’s adventures and unexpected turns. In the moments that matter, people want to know their insurer is there for them. At Hi Marley, we help insurers deliver on that promise through communication that brings greater clarity and connection to the policyholder experience.

About the role

You'll be the person who knows how our customers really use Hi Marley, and who turns that knowledge into better decisions across the company. You'll join a growing Analytics team with shared standards, tools, and a career path, and partner most closely with Product and Customer Success on a modern data stack (Redshift, dbt, and Dagster). This isn't a reporting queue. You'll take a business question from the first conversation to an answer, and sometimes present that answer straight to a customer. If an ambiguous question and a fresh dataset sound like a good afternoon, you'll love this role.

Teamwork and shared enthusiasm are a core part of our culture, which is why this role involves joining us in the Boston office for 3 days each week.

What you'll do

Become our go-to expert on how customers use Hi Marley, and help teams across the company act on what you learn

Partner with Product to define success metrics for new and existing features, then analyze adoption and funnels and recommend what's next

Measure customer pilots and utilization with Customer Success and Growth, and present the readouts directly to customers to prove value

Move the reporting our customer team relies on to self-serve on one trusted set of metrics, and give Data Engineering clear requirements so your analyses become governed data models

About you

You have 7+ years of relevant experience, including 5+ in analytics or data analysis, with strong SQL and a modern BI tool like Looker

You have a track record of defining metrics tied to real business decisions, using data to change minds, and partnering with data engineers on how data is modeled

You can explain what the data means to a customer or an executive in plain language, and you raise hard news, like a data-quality issue, with a path forward

Nice to have

Experience at a B2B SaaS or other growth-stage company

Product analytics experience, including feature usage, funnels, and A/B tests

Hands-on work with a cloud data warehouse (Redshift, Snowflake, or BigQuery), dbt, Python, or an orchestrator like Dagster or Airflow

Don't check every box? If this role excites you, we'd still love to hear from you.

Compensation, Benefits & Perks: At Hi Marley, we are committed to fair and transparent pay practices. The annual base salary for this role is expected to fall within the range of [ $111,300 - $170,500 ] , depending on experience, skills, qualifications, and location. Offers are determined based on these factors as well as internal peer equity. It’s most common for new hires to start near the midpoint of the range, allowing room for growth as employees develop in their role.

In addition to base pay, we support your wellbeing and growth with:

Equity grants for all employees

401(k) with a 4% employer match

Medical, dental, vision, disability, and life insurance for employees working 30+ hours per week

Monthly wellness and annual professional development stipends

Paid parental leave

Flexible Time Off to recharge, plus enjoy Wind-down Week, our annual year-end company shutdown

Who We Are:

Three core values guide how we work:

Max Courage: Dream big, try new ideas, and take measured risks to maximize impact.

Be Humble: Lead with appreciation, compassion, and openness to learn from anyone, anywhere.

Ubuntu: Align behind a shared purpose to achieve our fullest potential together.

Life at Hi Marley combines meaningful work with clear expectations. We communicate openly and with care, stay curious, take ownership, and value every perspective. Our flexible, hybrid environment is built on trust, accountability, and mutual support—both at work and when life needs our attention.

Hi Marley is proud to be an equal employment opportunity employer. We celebrate diversity and do not discriminate based on gender, sexual orientation, gender identity, religion, race, veteran status, disability status, or any other characteristic protected by applicable law. We are committed to building an inclusive work environment representing a variety of backgrounds, perspectives, and skills, where all employees are encouraged to be their authentic selves.