Sr. Data Analyst

Hi Marley • Boston, MA

14h • Hybrid

About The Position

Hi Marley is hiring a Sr. Data Analyst to help the company understand how customers use its 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 owns business questions from initial discussion through analysis and may present findings directly to customers. The role is hybrid and requires working from the Boston office three days each week.

The analyst will define and analyze success metrics for product features, evaluate customer pilots and utilization, and help customer-facing teams move to self-service reporting based on trusted metrics. They will work with Data Engineering to specify requirements and develop governed data models. The position requires strong analytical judgment, clear communication with customers and executives, and the ability to raise data-quality concerns while proposing a path forward.

Requirements

• 7+ years of relevant experience, including 5+ years in analytics or data analysis.
• Strong SQL skills and experience with a modern BI tool such as Looker.
• Experience defining metrics tied to business decisions and using data to influence decisions.
• Experience partnering with data engineers on data modeling.
• Ability to explain data and its meaning clearly to customers and executives.
• Ability to raise issues such as data-quality problems and communicate 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.
• Measure customer pilots and utilization with Customer Success and Growth, and present readouts directly to customers to demonstrate value.
• Move customer-team reporting to self-service using a 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+ 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