Sr. Data Analyst

Hi Marley • Boston, MA

20h • $111,300 - $170,500 • Hybrid

About The Position

Hi Marley is seeking a Sr. Data Analyst to help the company understand how customers use its communications platform and turn that knowledge into better decisions. The role is part of a growing Analytics team with shared standards, tools, and a career path, and partners most closely with Product and Customer Success using a modern data stack that includes Redshift, dbt, and Dagster. The analyst will own business questions from initial discussion through analysis and may present findings directly to customers. The position works from the Boston office three days each week in a flexible, hybrid environment.

Requirements

• At least 7 years of relevant experience, including at least 5 years in analytics or data analysis.
• Strong SQL skills and experience with a modern BI tool such as Looker.
• Track record of defining metrics tied to real business decisions and using data to change minds.
• Experience partnering with data engineers on data modeling.
• Ability to explain data in plain language to customers or executives and raise issues such as data-quality problems with a path forward.

Nice To Haves

• Experience at a B2B SaaS or other growth-stage company.
• Product analytics experience, including feature usage, funnels, and A/B tests.
• Hands-on experience with a cloud data warehouse such as Redshift, Snowflake, or BigQuery; dbt; Python; or an orchestrator such as Dagster or Airflow.

Responsibilities

• Become the go-to expert on how customers use Hi Marley and help teams across the company act on those insights.
• Partner with Product to define success metrics for new and existing features, analyze adoption and funnels, and recommend next steps.
• Work with Customer Success and Growth to measure customer pilots and utilization, and present readouts directly to customers to demonstrate value.
• Move customer-team reporting toward self-service using one trusted set of metrics.
• Provide Data Engineering with clear requirements so analyses can become governed data models.

Benefits

• Equity grants for all employees.
• 401(k) with a 4% employer match.
• Medical, dental, vision, disability, and life insurance for employees working 30 or more hours per week.
• Monthly wellness stipend.
• Annual professional development stipend.
• Paid parental leave.
• Flexible Time Off.
• Annual year-end company shutdown called Wind-down Week.

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed