Senior Data Analyst

FYUL

. Act as a go-to data person within the respective team .

Posted 9/15/2026full-timeRemote • United StatesSeniorWebsite

Core Competencies

Role fit

Core Competencies

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Demonstrates expertise in data analysis, product analytics, and business analytics, with a strong focus on translating data into actionable insights. Proficient in SQL, Snowflake, and BI tools like Looker for data modeling and visualization.

Highest-signal resume keywords

Advanced SQL SkillsData Analysis ExperienceSnowflake ProficiencyBI Tools ExperienceData Modeling Knowledge

ATS Keywords

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Applicant Tracking System Keywords

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Hard Skills

Data AnalysisData ModelingA/B TestingCausal InferenceExcel ProficiencyProduct AnalyticsEvent TrackingData Quality PrinciplesAnalytics ReportingStatistical Analysis

Soft Skills

Strong Communication SkillsPresentation Skills

Tools & Technologies

Snowflake IntelligenceStreamlitAmplitudeLookerBusiness Intelligence Tools

Industry Keywords

Product AnalyticsOperations AnalyticsBusiness AnalyticsData QualityQuantitative Analysis

Tech Stack

Tools & technologies

SQL

About the role

Key responsibilities & impact

Act as a go-to data person within the respective team
Engage in product analytics, operations analytics, and business analytics
Continuously improve product features through ad-hoc and regular data analysis
Analyze internal, market, and customer-level data across various business areas
Translate data into actionable insights
Build production-grade analytics using Snowflake Intelligence, Streamlit in Snowflake, Amplitude, and other state-of-the-art tools
Define data models and ensure data quality through rigorous QA processes in collaboration with data engineers
Work with Looker's analytical layer, defining explores, measures, and dimensions to support robust data exploration

Requirements

What you’ll need

Bachelor’s degree in mathematics, physics, economics or a related quantitative field required
Strong written & verbal English communication skills
At least 4 years of professional experience in data analysis
Demonstrated ability to present and clearly articulate summarized data analysis results
Advanced SQL skills and experience with Snowflake or similar data warehouses
Proficiency in Excel usage for data analysis
Hands-on experience with BI tools to create interactive dashboards and visualizations (Looker is a plus)
Solid understanding of data modeling and data quality principles
Hands-on experience with event tracking and product analytics tools (Amplitude is a plus)
Hands-on experience with A/B testing and causal inference
Resume must be submitted in English

Benefits

Comp & perks

An opportunity to work remotely
Flexible working hours (start your day as late as 10 AM)
Private health insurance
2 extra paid days off to focus on your mental or physical well-being
1 extra paid day off to celebrate a Birthday or any other celebration of your choice
Learning Budget to support your professional development
Access to mentorship, internal meetups, and hackathons, both on-site and online
Exciting team-building events and parties
Employee discount to design and order your own merch using FYUL platforms