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Added 14 mins ago
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Salesforce Partner Canada

Sr. Analyst, Global Incentive Compensation

Toronto, ON, Canada

Job type: Full-time
Apply by: Oct 3, 2026
Posting language: English
Posted: Sep 21, 2026

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Original job description

Description

Position Description

The Global Incentive Compensation (GIC) team at Salesforce is a global leader for sales compensation in the technology industry. We manage the sales compensation for all Salesforce, end-to-end - from designing the sales compensation plan to enable the company’s go-to-market strategy to administering the payment so that our sales teams get paid on time.

Within GIC, the Data Strategy team owns the foundational data architecture, data modeling, and secure data-sharing pipelines that power our global operational ecosystem (supporting $3B+ in annual commissions). We are hiring a Senior Technical Data Analyst to act as a key hands-on developer and business translator.

This is a highly visible, active role. We are looking for an analyst who goes beyond simply executing transactional queries to designing and transforming data in our Snowflake Gold and Reporting database layers. You will serve as the ultimate operational bridge: partnering deeply with upstream business teams (Decision Analytics and Reporting) to run technical discovery, clarify business requirements, and then rolling up your sleeves to write production-grade SQL code to deliver clean, curated, and highly aggregated datasets to support complex reporting and high-priority, time sensitive ad-hoc business needs.

Crucially, you are a natural "data detective." When the business requires data from unfamiliar or undocumented upstream systems, you will proactively hunt down the external business owners, ask the right investigative questions to decode their data structures, and document the requirements. You will build temporary technical workarounds in our Snowflake environment to keep the business agile, while carefully documenting the underlying technical gaps so they can be prioritized for permanent, long-term BT automation.

Responsibilities

Gold & Reporting Layer Development: Actively develop, model, and optimize highly aggregated datasets, schemas, and tables in GIC's Snowflake Gold and Reporting layers. Transform cleaned, raw data sources into production-ready semantic models designed specifically to fuel BI tools and handle complex, high-priority ad-hoc business requests.
Requirements Translation & Technical Discovery: Partner with business analysts in Reporting and Decision Analytics to run upfront discovery on new requests. Dissect vague requests, clarify and document clear business logic, and verify data feasibility in Snowflake before starting SQL development.
Proactive Data Stewardship & Sourcing: Untangle unfamiliar, complex, or undocumented upstream data sources across the enterprise. Proactively hunt down the external business owners, ask the right investigative questions to decode their data structures, and establish GIC's technical stewardship over these newly discovered sources.
Agile Data Curation & Gap Mitigation: Write intermediate SQL views and temporary workarounds in Snowflake to unblock urgent business decisions when upstream BT pipelines fall short. Ensure these agile data solutions are documented, clean, and easily maintainable.
Technical Gap Documentation: Identify, translate, and document persistent upstream system and data gaps. Write clear technical specifications and schema requirements to hand off to GIC’s centralized leadership, who will strategically prioritize them on the Business Technology (BT) engineering roadmap.
Project & Intake Coordination: Manage the intake, tracking, and prioritization of incoming data requests. Act as the primary coordinator for the team's delivery queue, setting clear expectations with stakeholders regarding timelines, scope, and technical constraints.
Data Documentation & Governance: Build and maintain comprehensive GIC data dictionaries, technical wikis (Confluence/Canvas), and SQL query templates to help downstream partners self-serve safely and reduce redundant requests.

Qualifications

Education: Bachelor's degree in Computer Science, Information Systems, Business Systems, Finance, or a related quantitative field.
Experience: 5+ years of experience as a Technical Data Analyst, Database Developer, or Technical Business Analyst, with a proven track record of transforming data and translating business needs into technical database solutions.
Advanced SQL & Cloud Data Warehousing: Expert-level, hands-on SQL skills. Deep practical experience building database views, designing table schemas, and writing performant joins, CTEs, and window functions in Snowflake (or similar cloud data warehouses).
Requirement Gathering & "Detective" Mindset: Mastery of running technical discovery, asking critical-thinking questions to uncover true business needs, and mapping business rules into technical specifications.
Investigative Stewardship: Demonstrated ability to independently research unfamiliar data sources, collaborate with external business stewards, and rapidly synthesize how external databases connect to your team's models.
Project & Stakeholder Management: Strong organizational skills with experience managing a project queue, setting realistic delivery expectations, and navigating competing priorities across multiple teams.
Clear Communication: Exceptional ability to bridge the communication gap while explaining technical database schemas to business partners and business-level requirements to technical database engineers.

Preferred Qualifications

Familiarity with Sales Operations, Finance, or Sales Compensation business domains.
Knowledge of the Salesforce CRM platform and underlying data structures (Products, Opportunities, Accounts, etc.).
Familiarity with DBT(data build tool) and Git/version control workflows.
Experience operating in a highly audited, SOX-compliant data environment.

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More about this job

Responsibilities

Develop and optimize highly aggregated datasets and semantic models within Snowflake to support global incentive compensation reporting. Act as a technical bridge by translating complex business requirements into production-grade SQL code and managing data intake requests.

Requirements

Requires a bachelor's degree and at least 5 years of experience as a technical data analyst or database developer. Candidates must possess expert-level SQL skills and a proven ability to perform technical discovery and data stewardship in cloud data environments.

Skills

SQL
Snowflake
Data Modeling
Data Architecture
Business Analysis
Technical Discovery
Data Stewardship
ETL
Database Design
Requirement Gathering
Stakeholder Management
Data Governance
Salesforce CRM
Git
DBT
SOX Compliance

Visa sponsorship

Not detected in the job text

Keywords

SQL
Snowflake
Data Architecture
Data Modeling
Incentive Compensation
Salesforce
Business Intelligence
Data Stewardship
ETL
Database Schema
Technical Discovery
Requirement Gathering
Stakeholder Management
Git
DBT
SOX Compliance
Data Governance
Semantic Modeling
Sales Operations
Finance
Data Analysis
Cloud Data Warehousing
Technical Documentation
Confluence
Canvas
Business Technology
Data Pipelines
Query Optimization
Window Functions
CTEs

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