Lead Business Analyst I

Braze • Toronto, ON

5h • Hybrid

About The Position

Braze is seeking a Lead Analyst 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.

Requirements

• 4–5+ years of dedicated individual contributor experience in data architecture, dbt development, or advanced data modeling.
• Expert-level SQL and advanced dbt capabilities are strictly required. You must be heavily experienced in dimensional modeling, utilizing modern cloud data warehouses.
• 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.
• Proficiency in Python (pandas, scikit-learn) to handle ad-hoc analysis, statistical modeling, outlier identification, diagnosing data quality issues, and analytical edge cases.
• 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.

Nice To Haves

• Experience with dbt semantic layers is a major plus.

Responsibilities

• 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).
• 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.
• 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.
• 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.
• 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.
• 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.
• 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.

Benefits

• 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®

What This Job Offers

• Job Type: Full-time
• Career Level: Senior
• Education Level: No Education Listed