Staff Data Analyst, Engine X

engine; United States; Hybrid; USD 120,000 - 180,000; Full time

Benefits offered by this job

Equity

Hybrid/Remote work

Job summary

engine is seeking a senior analytics partner to turn transaction, booking, rewards, activation, and retention data into dependable metrics and dashboards. You will perform hands-on SQL on Snowflake, own data quality, support experiments, and clearly communicate findings to product, finance, and leadership teams.

You will build dashboards covering key product metrics, establish recurring reports, and document data definitions. Strong SQL, dashboarding, and communication are essential.

Qualifications

• Bachelor’s degree in a quantitative or analytical discipline.
• 7+ years of relevant data analytics experience.
• Strong SQL skills with large datasets and Snowflake experience.
• Experience building dashboards and reporting frameworks (Looker/Tableau/HEX).
• Attention to data accuracy, documentation, and clear communication.

Responsibilities

• Build, maintain, and improve dashboards covering activation, spend volume, booking value, rewards usage, category mix, and cardholder retention.
• Establish recurring reporting for core product metrics and provide stakeholders with accurate, timely visibility into performance.
• Investigate metric changes, document findings, and communicate implications clearly.
• Write complex SQL against Snowflake data across multiple datasets.
• Create reusable data models and reporting assets with clear definitions and known limitations.
• Support A/B tests by defining analytical frameworks and presenting conclusions.

Skills

SQL

Data analytics

Communication

Education

Bachelor's degree in quantitative field

Tools

Snowflake

Looker

Tableau

HEX

dbt

Job description

Role overview

Serve as the senior analytical partner for a growing corporate card and spend-management product. You will turn transaction, booking, rewards, activation, and retention data into dependable metrics, dashboards, models, and recommendations for product, finance, and leadership teams. The role combines hands-on SQL analysis with data-quality ownership, experiment support, documentation, and clear communication of business findings.

Responsibilities

• Build, maintain, and improve dashboards covering activation, spend volume, booking value, rewards usage, category mix, and cardholder retention.
• Establish recurring reporting for core product metrics and provide stakeholders with accurate, timely visibility into performance.
• Investigate unexpected metric changes, identify likely causes, document findings, and communicate implications clearly.
• Write complex SQL against Snowflake data, joining and aggregating transaction, booking, rewards, and activation datasets.
• Create reusable data models and reporting assets with clear definitions, refresh expectations, and known limitations.
• Support A/B tests and product experiments by defining analytical frameworks, validating results, and presenting decision-ready conclusions.

Requirements

• Bachelor’s degree in a quantitative or analytical discipline such as data, economics, statistics, computer science, finance, or a related field.
• At least seven years of relevant experience in data analytics or a closely related function.
• Strong SQL skills, including joins, aggregations, and window functions on large datasets, plus hands-on Snowflake experience.
• Experience creating and maintaining dashboards or reporting frameworks with tools such as HEX, Looker, Tableau, or comparable platforms.
• Strong attention to detail and personal ownership of data accuracy, logic validation, documentation, and issue escalation.
• Clear written and verbal communication, including the ability to explain findings to non-technical stakeholders.

Nice to have

• Experience analyzing fintech, payments, card products, or financial‑services data.
• Familiarity with A/B testing, experiment analysis, and basic statistical interpretation.
• Experience with dbt or close collaboration with analytics engineering and data engineering teams.

Benefits and work setup

The role offers meaningful ownership of metrics for a growing product, structured analytical development, senior mentorship, and opportunities to expand with the product. Compensation includes competitive base pay, equity, and possible role‑dependent bonus eligibility; work may be hybrid or fully remote depending on location and employment arrangement.