Senior Data Analyst

Hi Marley

. Become the go-to expert on how customers use Hi Marley and help teams act on those insights .

Posted 11/4/2026full-timeBoston • Massachusetts • United StatesSenior💰 $111,300 - $170,500 per yearWebsite

Core Competencies

Role fit

Core Competencies

Use this summary to align your resume positioning with the role.

Expertise in analytics and data analysis with a strong focus on SQL and modern BI tools. Proven ability to define success metrics, analyze feature adoption, and communicate insights effectively to stakeholders.

Highest-signal resume keywords

Strong SQL SkillsExperience With LookerData Modeling CollaborationCustomer CommunicationB2B SaaS Experience

ATS Keywords

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Applicant Tracking System Keywords

Tip: use these terms in your resume and cover letter to boost ATS matches.

Hard Skills

Data AnalysisFeature Adoption AnalysisMetrics DefinitionA/B TestingData Quality Management

Soft Skills

Insight CommunicationProblem-Solving

Tools & Technologies

LookerRedshiftSnowflakeBigQueryPythonDbtDagsterAirflow

Industry Keywords

B2B SaaSGrowth-Stage CompanyProduct Analytics

Tech Stack

Tools & technologies

AirflowAmazon RedshiftBigQueryPythonSnowflakeSQL

About the role

Key responsibilities & impact

Become the go-to expert on how customers use Hi Marley and help teams act on those insights
Partner with Product to define success metrics for new and existing features
Analyze feature adoption and funnels and recommend next steps
Measure customer pilots and utilization with Customer Success and Growth
Present readouts directly to customers to demonstrate value
Move customer-team reporting to self-service using one trusted set of metrics
Provide Data Engineering with clear requirements so analyses become governed data models
Join the Analytics team and partner with Product and Customer Success on a modern data stack

Requirements

What you’ll need

7+ years of relevant experience, including 5+ years in analytics or data analysis
Strong SQL skills
Experience with a modern BI tool like Looker
Track record of defining metrics tied to real business decisions
Experience using data to change minds
Experience partnering with data engineers on data modeling
Ability to explain data to customers or executives in plain language
Ability to raise data-quality issues with a path forward
Nice to have: Experience at a B2B SaaS or other growth-stage company
Nice to have: Product analytics experience, including feature usage, funnels, and A/B tests
Nice to have: Hands-on experience with Redshift, Snowflake, BigQuery, dbt, Python, Dagster, or Airflow

Benefits

Comp & perks

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
Wind-down Week, the annual year-end company shutdown
Flexible, hybrid work environment