Senior Data Analyst – Finance

Hotel Engine

. Partner with product, engineering, and design stakeholders to lead metrics definition, reporting, and analyses .

Posted 10/12/2026full-timeRemote • United StatesSenior💰 $131,500 - $154,700 per yearWebsite

Core Competencies

Role fit

Core Competencies

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

Demonstrates expertise in data analysis, statistical methodologies, and business intelligence reporting, with a strong ability to translate complex data insights into actionable strategies for product and business performance. Proficient in SQL and experienced in collaborating with cross-functional teams to drive data-driven decision-making.

Highest-signal resume keywords

Advanced SQLData Pipeline ManagementStatistical AnalysisBusiness Intelligence ReportingData Analysis

ATS Keywords

Tailor your resume

Applicant Tracking System Keywords

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

Hard Skills

Data AnalysisStatistical AnalysisSQL Query BuildingEconometricsHypothesis Testing

Soft Skills

Excellent CommunicationInquisitive Mindset

Tools & Technologies

LookerSnowflakeAmplitude

Industry Keywords

Data AnalystBusiness AnalystMetrics DefinitionData PipelinesProduct Analytics

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Partner with product, engineering, and design stakeholders to lead metrics definition, reporting, and analyses
Lead analytics projects and derive actionable insights for product and business performance
Design and build statistical analyses for business questions and product functionalities
Participate in product and growth experiments
Build and maintain data pipelines for product and business metrics
Collaborate with data engineers on data assets and feature stores for automation, analytics, and machine learning
Manage business intelligence reporting dashboards
Use advanced SQL to explore complex datasets and uncover insights on pricing and business performance
Investigate open-ended business questions, identify patterns, quantify opportunities, and recommend strategic pricing decisions
Translate analytical findings into clear insights for senior leadership
Partner with product, pricing, and engineering teams to scope analytical needs and validate hypotheses

Requirements

What you’ll need

Bachelor’s degree in Data, Economics, Statistics, Operations Research, or a related quantitative field
5+ years of relevant work experience as a Data or Business Analyst
Proven track record of manipulating and extracting value from datasets
Experience building complex SQL queries
Strong fundamentals in statistics and econometrics, including regressions and hypothesis testing
Excellent communication skills and ability to distill complex issues and analyses
Inquisitive mindset and desire to understand the reasons behind data
Experience with Looker, Snowflake, and Amplitude is a plus

Benefits

Comp & perks

Equity for all employees
Some roles are eligible for annual bonuses or commissions
Competitive base pay tied to role and experience
Hybrid-hub model with office-based or fully remote environments
Opportunities for growth, learning, and meaningful impact
Data-driven culture valuing innovation and continuous improvement