Lead Business Analyst I

At Braze, we have found our people. We’re a genuinely approachable, exceptionally kind, and intensely passionate crew.

We seek to ignite that passion by setting high standards, championing teamwork, and creating work-life harmony as we collectively navigate rapid growth on a global scale while striving for greater equity and opportunity – inside and outside our organization.

To flourish here, you must be prepared to set a high bar for yourself and those around you. There is always a way to contribute: Acting with autonomy, having accountability and being open to new perspectives are essential to our continued success.

Our deep curiosity to learn and our eagerness to share diverse passions with others gives us balance and injects a one-of-a-kind vibrancy into our culture.

If you are driven to solve exhilarating challenges and have a bias toward action in the face of change, you will be empowered to make a real impact here, with a sharp and passionate team at your back. If Braze sounds like a place where you can thrive, we can’t wait to meet you.

Braze is seeking a Lead Analyst I with a deep background in DBT development and Go-To-Market Analytics to join our Business Analytics team within the broader Growth Data organization.

As Braze scales, we are aggressively modernizing our data infrastructure to serve our Go-To-Market (GTM) teams. We need an experienced practitioner with a proven track record of developing scalable data models who holds themselves to the highest standards of the Modern Data Stack. Sitting within our Business Analytics function, you will work in a tight feedback loop with GTM operators and revenue leaders, operating with significantly more business context than a traditional, siloed data role.

You will serve as a foundational architect for many of our revamped GTM data models—bridging the gap between raw operational data and strategic execution while refactoring legacy models that no longer meet the needs of a scaling business. Though you will spend the vast majority of your time developing models in dbt, you are expected to be a full-cycle practitioner. This means occasionally stepping out of the DAG to perform deep-dive analysis in Python or curate the final Looker experience to ensure your architecture translates into executive action.

Location & Eligibility: You must currently reside in Canada and possess independent work authorization. We cannot provide visa sponsorship or relocation assistance for this role.

Who This Role is NOT For:

• Dashboard Builders: If your primary comfort zone is dragging and dropping in Tableau or PowerBI, and you do not actively write DRY, modular dbt code, this role is not a fit. We are hiring a code-first data architect, not a report builder.
• ML Deployers or Data Scientists: While you will use Python for complex ad-hoc analysis, we are not deploying predictive Machine Learning models into production. If you want to be an ML Engineer, you will be bored here.

WHAT YOU'LL DO

• Data Architecture & Refactoring: Lead the deprecation of legacy, undocumented reporting layers. Design, deploy, and govern highly modular, scalable data pipelines using advanced dbt methodologies (Jinja, custom macros, incremental materializations, and robust testing).
• Strategic GTM Modeling: Act as a key architect for our GTM data models. Untangle underserved operational processes and translate them into scalable, reliable data products that expand beyond basic Salesforce objects.
• Technical Standards Leadership: Serve as a senior DBT practitioner by reviewing PRs, providing technical mentorship, and elevating the team's development baseline through rigorous code standards. Thoughtfully leverage AI to automate rote tasks (style compliance, docs) to free up time for higher-leverage work.
• High-Agency Project Ownership: Drive the end-to-end execution of strategic analytics initiatives by interfacing directly with a complex matrix of stakeholders—including Data Engineering, Business Systems, GTM Operations, and Salesforce Administrators. You are expected to proactively capture the technical reality of their workflows, scope solutions from first principles, and design the models that constrain and optimize organizational decision-making with minimal supervision.
• Advanced Analysis: Utilize Python (pandas, scikit-learn) for complex analytical needs—such as evaluating lead scoring or the impact of GTM touchpoints on pipeline conversion—that exceed the limits of SQL. You surface signals from operational processes to drive GTM efficiency.
• BI Layer Execution: Develop LookML models and dashboards as needed to finalize the delivery of your data products. You ensure the visualization layer remains an accurate and performant reflection of the underlying dbt architecture.
• Semantic Governance: Build and maintain a robust semantic layer in dbt to provide strict guardrails for business users, enabling safe, reliable self-service analytics free from metric divergence.

WHO YOU ARE

• Experience: 4–5+ years of dedicated individual contributor experience in data architecture, dbt development, or advanced data modeling.
• Core Technical Proficiency: Expert-level SQL and advanced dbt capabilities are strictly required. You must be heavily experienced in dimensional modeling, utilizing modern cloud data warehouses. Experience with dbt semantic layers is a major plus.
• Strong Data Model and Product Design Acumen: You go beyond delivering the requested specifications given by stakeholders to deliver data products that actually address the underlying business problem. You are capable of translating vaguely defined business problems or processes with little documentation into clearly articulated requirements. When designing models, you account for organizational ambiguity and think several moves ahead to ensure that future projects do not require a full pipeline refactor.
• Analytical Agility: Proficiency in Python (pandas, scikit-learn) to handle ad-hoc analysis, statistical modeling, outlier identification, diagnosing data quality issues, and analytical edge cases.
• Domain Expertise: Deep understanding of B2B SaaS Go-To-Market operations, GTM funnels, and Revenue Operations data modeling. You understand the commercial implications of business data just as deeply as the computational implications of a complex table join.

For candidates based in the United States, the pay range for this position at the start of employment is expected to be between CA$121,700-CA$143,200/year, with an expected On Target Earnings (OTE) between CA$135,200-CA$159,100/year (including bonus or commission). Your exact offer may vary depending on multiple individualized factors, including market location, job-related knowledge, skills, and experience. In addition to cash compensation, this role qualifies for a comprehensive Total Rewards package that includes equity grants of restricted stock (RSUs) so that you will own a piece of our company.

#LI-Hybrid

WHAT WE OFFER

Braze benefits vary by location, and we encourage you to review our specific benefits offerings for each country here . More details on benefits plans will be provided if you receive an offer of employment.

From offering comprehensive benefits to fostering hybrid ways of working, we’ve got you covered so you can prioritize work-life harmony. Braze offers benefits such as:

• Competitive compensation that may include equity
• Retirement and Employee Stock Purchase Plans
• Flexible paid time off
• Comprehensive benefit plans covering medical, dental, vision, life, and disability
• Family services that include fertility benefits and equal paid parental leave
• Professional development supported by formal career pathing, learning platforms, and a yearly learning stipend
• A curated in-office employee experience, designed to foster community, team connections, and innovation
• Opportunities to give back to your community, including an annual company-wide Volunteer Week and donation matching 
• Employee Resource Groups that provide supportive communities within Braze
• Collaborative, transparent, and fun culture recognized as a Great Place to Work®

ABOUT BRAZE

Braze is the leading customer engagement platform that empowers brands to Be Absolutely Engaging™. Braze helps brands deliver great customer experiences that drive value both for consumers and for their businesses. Built on a foundation of composable intelligence, BrazeAI™ allows marketers to combine and activate AI agents, models, and features at every touchpoint throughout the Braze Customer Engagement Platform for smarter, faster, and more meaningful customer engagement. From cross-channel messaging and journey orchestration to Al-powered decisioning and optimization, Braze enables companies to turn action into interaction through autonomous, 1:1 personalized experiences.

The company has been consistently recognized as a Leader in marketing technology by industry analysts, and was named a G2 “Best of Marketing and Digital Advertising Software Product” in 2026. Braze was also named a 2026 Best Places to Work by Built In, a 2025 America’s Greenest Companies by Newsweek, and a 2025 Fortune Best Workplace in Technology™ by Great Place To Work®. Braze is also proudly certified as a Great Place to Work® in the U.S., the UK, Australia, and Singapore. 

The company is headquartered in New York with offices in Austin, Berlin, Bucharest, Chicago, Dubai, Jakarta, London, Paris, San Francisco, São Paulo, Singapore, Seoul, Sydney and Tokyo.

BRAZE IS AN EQUAL OPPORTUNITY EMPLOYER

At Braze, we strive to create equitable growth and opportunities inside and outside the organization.

Building meaningful connections is at the heart of everything we do, and that includes our recruiting practices. We're committed to offering all candidates a fair, accessible, and inclusive experience – regardless of age, color, disability, gender identity, marital status, maternity, national origin, pregnancy, race, religion, sex, sexual orientation, or status as a protected veteran. When applying and interviewing with Braze, we want you to feel comfortable showcasing what makes you you .

We know that sometimes different circumstances can lead talented people to hesitate to apply for a role unless they meet 100% of the criteria. If this sounds familiar, we encourage you to apply, as we’d love to meet you.

OUR AI-POWERED BRAZE RECRUITMENT PROCESS

At Braze, we’re committed to a fair and transparent candidate experience. To help our recruitment teams focus on what matters most — the person behind each application — we use AI-assisted tools at certain stages of our recruitment process. 

This includes using AI to analyze the experience, skills and qualifications in your application materials to help with screening and prioritizing candidates. Such screening may amount to a form of solely automated decision-making. We also use AI for administrative support, like scheduling and recording interviews and summarizing interview notes. Our recruiting teams remain responsible for all hiring decisions and are involved throughout the process.

Depending on where you are located, you may have the right to request further information about how AI is used in our recruitment process, to opt out of AI-assisted review, to request a manual review of any decision made or to contest a decision. 

Please contact us at View email address on boards.greenhouse.io for any requests or questions. To find out more about our hiring process, check out this page .

Notice Regarding Automated Employment Decision Tool (NYC Local Law 144)

Our use of AI during the application review process may include the use of automated employment decision tools. Pursuant to New York City Local Law 144, for roles based in New York City, or if you reside in New York City, you have the right to request an alternative selection process or a reasonable accommodation instead of AI-assisted review. Please submit any such request to our Talent Acquisition team at View email address on boards.greenhouse.io promptly after applying. A summary of the most recent bias audit results for such tool is available here

Please see our Candidate Privacy Policy for more information on how Braze processes your personal information during the recruitment process and, if applicable based on your location, how you can exercise any privacy rights.