GTM Data Analyst

sunday; Dallas (TX); Hybrid; USD 90,000 - 115,000; Full time

Benefits offered by this job

Stock Options

Hybrid work

Vacation policy

Health insurance

Job summary

sunday is building the fastest, simplest way to pay in restaurants, enabling quick, secure payments via QR code. We seek a GTM Data Analyst to turn complex data into clear, actionable insights for US/UK/France teams, owning reporting and dashboards, and partnering with RevOps and Data.

You’ll work hands-on with SQL, BigQuery, and AI-enabled workflows to drive revenue efficiency. Based in London or the US, you’ll join a small GTM Operations group and shape data foundations, delivering solutions

Qualifications

• 2–4 years of experience in a data analyst or similar analytics role.
• Strong SQL skills; able to write, troubleshoot, and optimize queries.
• Experience with a cloud data warehouse (BigQuery preferred; others acceptable).

Responsibilities

• Serve as the primary analytics resource for GTM operators across the US, UK, and France.
• Build and own the reporting standard used in sales leadership’s GTM performance reviews.
• Create KPI reporting layer across funnel, dashboards, and rep-level tools.
• Design and maintain dashboards for account, territory, opportunity management, activity, and pipeline analysis.
• Query and model data in SQL and BigQuery to go beyond Salesforce reporting.
• Maintain data integrity and reporting consistency across regions and systems.
• Identify opportunities to deploy AI workflows in revenue processes and support AI tooling adoption.

Skills

SQL

Data analysis

Domain knowledge

Tools

Google BigQuery

Snowflake

Redshift

Salesforce

Metabase

AI tools

Job description

About Us

sunday is building the fastest, simplest way to pay in restaurants. With a quick scan of a QR code, diners can pay, tip, and leave in about 10 seconds. We believe great products should feel obvious, not complicated, and we focus relentlessly on keeping things simple while earning trust from restaurants and guests at every interaction. Today, sunday powers payments in thousands of restaurants across the US, UK, and France, helping operators turn tables faster, increase tips, and unlock valuable insights. We push ourselves to go beyond what’s expected, building with ownership, moving fast, and scaling with ambition as we tackle our biggest growth opportunity in the US.

About The Role

As a GTM Data Analyst at sunday, your ultimate goal will be to make our go-to-market performance easier to understand, measure, and improve. You will become an expert in sunday’s data architecture and reporting infrastructure, helping teams across the US, UK, and France turn complex business questions into clear, actionable insight. You can be based in London or in the US.

You will report to the Global GTM Program Manager and join a five-person GTM Operations team. This is a highly technical, hands-on role: you will work closely with GTM operators, RevOps, and Data to build the reporting foundations that help sunday grow intelligently, while also identifying where AI and agentic workflows can make our revenue teams more effective. In your first 6–12 months, you will become an expert in sunday’s data architecture and reporting infrastructure, identify clear gaps in our data and reporting, and deliver solutions to many of them.

Join early, grow fast, and shape the journey!

Key Responsibilities

• Serve as the primary analytics resource for GTM operators across the US, UK, and France, delivering complex analyses and ad hoc deep dives.
• Build and own the reporting standard used in sales leadership’s regular GTM performance reviews.
• Build the foundational KPI reporting layer across the funnel, from leadership dashboards to rep-level execution tools.
• Design and maintain dashboards covering account and territory views, opportunity management, activity, and pipeline analysis.
• Query and model data directly in SQL and BigQuery to answer questions beyond out-of-the-box Salesforce reporting.
• Maintain data integrity and reporting consistency across regions, systems, and tools.
• Identify opportunities to deploy AI and agentic workflows across revenue processes, and help build the technical foundations they require.
• Support AI-assisted reporting and analysis workflows, and help drive fluency and adoption of the team’s AI tooling.

About You

• You have 2–4 years of experience in a data analyst or similar analytics role.
• You have strong SQL skills and can write, troubleshoot, and improve queries independently. This is the most important technical requirement for the role.
• You have experience with a cloud data warehouse; we use Google BigQuery, and experience with Snowflake, Redshift, or an equivalent is also relevant.
• You are fluent in Salesforce objects, reports, and dashboards.
• You have built dashboards and reports in a BI tool; we use Metabase.
• You are comfortable using AI tools to accelerate or improve analytical workflows.
• You pay close attention to data quality and look for the “so what”, not just the output.
• You can understand business needs and translate them into focused analyses and practical reporting solutions.
• You are comfortable working hands-on with RevOps and Data teams as a technical partner.

Nice to have:

• Exposure to go-to-market, sales, or revenue operations environments.
• Experience working with global or multi-region teams.
• Prior exposure to building or using AI or agentic workflows in a business context.

What we Offer

• £70,000–£85,000 base salary London OR $90.000-$115.000 USD base salary in our US Locations.
• Stock Options
• A great office with a balance of in-person and remote work
• Free Vacation Policy
• 100% Employer-Covered Health Insurance

sunday is an equal opportunity employer and does not discriminate and all qualified applicants will receive consideration for employment without regard to race, creed, color, sex, affectional or sexual orientation, gender identity or expression, gender, ethnicity, religion, national origin, ancestry, nationality, age, disability, marital status, veteran status, genetic information, or on any other basis prohibited by law (except where an attribute is a bona fide occupational qualification).