Jobs in Canada

Hr Generalist in Canada

652 active opportunities · Updated October 2026

Explore current hr generalist jobs across Canada. Filter by work mode, employment type, experience, department, date posted and distance.

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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$155K – $185K/yr

Quick readStrong listing-quality and freshness signals

Sr. Content Marketing Manager Location: San Francisco, CA · In-office 4 days/week Team: Strategic Marketing Reports to: Sr. Director, Strategic Marketing About the role Sigma produces a lot of content — blog, video, product launches, thought leadership — and this role is the editorial backbone that makes all of it sharper, faster, and on brand. You'll run the Sigma blog end-to-end, raise the quality bar on everything that ships, and build the systems and internal bench that let us scale content without losing voice or accuracy. This is a senior, hands-on editorial role for someone who edits with both technical judgment and taste. You'll work shoulder-to-shoulder with PMs and engineers to keep content accurate, coach employees and contractors to produce great work, and bring new thinking to how Sigma earns awareness. You'll join an established content team and won't have to do it all yourself — a Content Producer partners with you on publication and operations. This role reports to the Sr. Director of Strategic Marketing, with room to grow into people management as Sigma's content team scales. What you'll own Editorial standards and editing Edit a high volume of blog posts, balancing technical nuance with taste. You're comfortable editing in the data, analytics, apps, or AI space — you don't need to know everything, but you know what you don't know, flag it, and lean on PMs and engineers to keep content accurate and clear. Keep Sigma's content on brand across every channel and format. Reinforce the standards that contribute to great content: Clear positioning, high-quality imagery, and connected messages across multiple content pieces. Blog and AEO operations Run the Sigma blog end to end: calendar, editorial standards, and publication. Manage the AEO content calendar and the relationship with Sigma's AEO contractor, ensuring 5 AEO blogs are edited, SME-reviewed, and published each week. The team's Content Producer supports publication, with you s

PythonSQLAIGo
SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$240K – $270K/yr

Quick readStrong listing-quality and freshness signals

About the Role Sigma is transforming how businesses run by delivering a high performance platform on modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing You will be responsible for developing elegant and responsive user experience using the latest front-end technologies. You'll own substantial pieces of the product, from design to launch Working with our product, UX design, and backend development teams, you will develop new features and technologies that make our product experience awesome and radically simplify the user experience for non-technical users You will leverage your technical expertise in front-end application development in the creation of novel visualizations for structured and unstructured data and develop new techniques for improving the performance and interactivity of the application Use modern frontend frameworks like React, GraphQL, TypeScript and Node.js Qualifications We Need 10+ years industry experience building and maintaining high-quality software An eye for great design and a passion for building products that provide a great user experience The ability to make the right trade-offs between functionality and delivery speed that supports delivering value to customers, all the while iterating based on feedback and roadmap priorities Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong computer science fundamentals Qualifications We Want (also, skills you’ll learn!) Experience building software capabilities for analyzing large scale data web applications Prior ex

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SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$175K – $210K/yr

Quick readStrong listing-quality and freshness signals

As Sigma scales its global footprint, the Sales Engineering (SE) organization is the technical engine driving our GTM motion. We are looking for a Strategy and Operations Lead, SE to partner directly with our VP of SE and serve as the operational bedrock for this critical organization. Operating within our broader GTM Strategy & Operations team, you will own the global operating rhythm, operational infrastructure, and capacity planning for the entire SE organization. You will drive strategy across a highly matrixed, global environment. You are part strategist, part builder, and part operator - responsible for ensuring our pre-sales motion scales seamlessly. What You Will Do Drive Business Reporting & the SE Operating Rhythm: Own the cadence of the SE organization. Design and execute regular business reviews and leverage Sigma to build robust, real-time reporting that gives the VP of SE crystal-clear visibility into technical pipeline health, team utilization, and conversion metrics. Optimize Funnel Mechanics & Deal Acceleration: Deep dive into the pre-sales funnel to identify where deals stall during technical validation. Partner with SE leadership to optimize the Proof of Concept (POC) lifecycle, remove friction, and accelerate the technical win. Lead Global Headcount & Capacity Planning: Serve as the SE representative in cross-functional GTM planning cycles. Own end-to-end global SE capacity requirements, design territory allocation frameworks, and manage annual headcount planning seamlessly across AMER, EMEA, and APAC. Build Solutions in Sigma: Leverage Sigma itself to build robust operational solutions, designing the dashboards, data models, and workflows needed for POC tracking, capacity management, and performance visibility. Act as the Cross-Functional Hub: Represent the SE organization in all major GTM Strategy & Operations initiatives. Serve as the connective tissue between SE, Sales, Product, and RevOps, ensuring SE requir

PythonSQLAIGo
SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$150K – $240K/yr

Quick readStrong listing-quality and freshness signals

About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing Solve challenging problems that arise in providing high performance interactive experience to enable analytics and workflows use cases on top of modern warehouses Build software using the latest developer tools and using programming languages like Rust, Go, GraphQL, Typescript Develop new algorithms and techniques for improving the performance and interactivity for enabling analytics and workflows for the world largest companies Triage product or system issues and debug/track/resolve by analyzing the sources of issues Design and implement new software features to support our fast growing user growth Collaborate with cross-functional groups - infrastructure, design, product, customer support, sales and marketing to build an innovative product capabilities Qualifications We Need 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web applications in a continuous deployment environment Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong Computer Science fundamentals Qualifications We Want (also, skills you’ll learn!) Experience building software capabilities for analyzing large scale data web applications Data driven aptitude and its application to solve distributed system problems Data model design, and API development experience to enable customer facin

TypeScriptPythonSQLGraphql
SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing
Quick readStrong listing-quality and freshness signals

(Sr.) Revenue Accounting Manager Sigma Computing is seeking a Senior Revenue Manager to join our Revenue team and play a key role in managing revenue accounting and revenue operations in a fast-growing SaaS environment. Reporting to the Senior Director of Revenue, this role will own key aspects of the revenue close, revenue recognition, contract review, and related processes. The Senior Revenue Manager will serve as a subject-matter expert on revenue accounting, partnering closely with Sales, Deal Desk, Legal, FP&A, and Finance to assess complex customer arrangements, ensure appropriate revenue treatment, and build scalable processes and controls. Key Responsibilities Own key components of the monthly, quarterly, and annual revenue close, including revenue recognition, deferred revenue, unbilled revenue, and related reconciliations. Ensure compliance with ASC 606 and applicable accounting standards. Review customer contracts and non-standard arrangements to determine appropriate revenue recognition. Partner with Sales, Deal Desk, Legal, FP&A, and Finance to assess the accounting implications of new products, pricing structures, and complex deals. Review and approve revenue-related journal entries, reconciliations, and supporting schedules. Develop, maintain, and improve revenue accounting policies, procedures, and internal controls. Own accurate and timely billing operations, including review and validation of sales tax applied to customer invoices. Own sales tax compliance processes, including periodic reviews of nexus, taxability, and potential exposure across applicable jurisdictions. Support internal and external audits, including preparation of revenue-related schedules and documentation. Identify opportunities to streamline, automate, and scale revenue processes. Partner with Finance Systems and other stakeholders on revenue system enhancements and process improvements. Support the implementation and optimization of revenue-related

PythonSQLAIGo
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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$240K – $270K/yr

Quick readStrong listing-quality and freshness signals

About the Role At Sigma, we’re not just adding AI—we’re building the future of how people work with data. Our platform already lets users explore billions of rows of data in seconds with a spreadsheet-like interface, analyze and present their data in workbooks, and build data apps and workflows. Now we’re pushing further, applying AI to reshape how people build in Sigma, discover insights, and make smarter decisions—fast. That’s where you come in. As an AI/ML Engineer, you’ll join a growing team focused on building the AI foundation that will power Sigma for the future. Your work will become an integral part of the workflow for the thousands of enterprises that run on Sigma. What You’ll Do Partner with product, design, and engineering teams to identify high-impact AI/ML opportunities Prototype and productionize AI systems that feel intuitive but do a lot under the hood—recommendations, natural language interfaces, agentic workflows, and more Develop and scale AI/ML infrastructure that powers both internal tooling and customer-facing features Tackle novel UX problems at the intersection of AI, BI, and apps What You Bring Bachelor’s degree in Computer Science, Engineering, Mathematics, or a related field (required) 10+ years of experience building and deploying production-grade AI/ML systems Deep knowledge of machine learning, deep learning, and applied AI Experience across the full ML lifecycle: data curation, training, deployment, monitoring A track record of building things that ship—whether it’s recommendations, search, machine translation, or something equally complex Experience adapting or training foundation models (language or multimodal) for novel domains Bonus Points (or skills you’ll build here) You've built agents that can plan, reason, and use tools You know your way around cloud infrastructure (AWS, GCP, Azure) You’ve worked in a fast-moving startup or high-growth environment Additional Job details The base salary range for this posit

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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$170K – $240K/yr

Quick readStrong listing-quality and freshness signals

Senior Software Engineer - Observability and Reliability About the Role We are growing the engineering team and looking for engineers who have the chops to build and deliver world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible. What You Will Be Doing Build observability tools and platforms, including: metrics, logging, distributed tracing, dashboarding, alerting, application performance management Build with modern tools and languages like Go, Open Telemetry and Kubernetes Participate in on-call rotation and ensure uptime of services Create runtime tools/processes that optimize cloud triaging and limit downtime Define best practices around making our systems and services measurable Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies. We expect successful candidates to be coding a majority of their time Qualifications We Need Strong Computer Science fundamentals 5+ years industry experience building and maintaining high-quality software, especially software other engineers use You apply a product mindset to infrastructure systems and feel accomplished enabling others Desire to be a great teammate and have fun at work Strong sense of craftsmanship, and a healthy academic curiosity Qualifications We Want (also, skills you’ll learn!) Experience building systems for data analytics Distributed systems monitoring and profiling skills Knowledge of cloud application security models Administered cloud service infrastructure (GCP, AWS, Azure) Startup experience Additional Job details Additional Job details The base salary range for this position is $170k - $240k annually. Compensation may vary outside of this range depending on a number of factors, including a candidate’s qualifications, skills, competencies and experience. Base pay is one part of the Total Package that is provided to compensate and recognize e

PythonSQLAWSAzure
SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$170K – $235K/yr

Quick readStrong listing-quality and freshness signals

About the Role Sigma Computing is redefining business intelligence by making complex data analysis accessible through a high-performance platform built for the modern data stack. The Compiler Team plays a foundational role in this mission by transforming user-driven spreadsheet interactions into highly optimized SQL queries, enabling seamless exploratory analytics on cloud data warehouses. As a member of the Compiler Team, you will join a group of engineers dedicated to building the core systems and abstractions that power Sigma’s intuitive spreadsheet interface, ensuring speed, reliability, and scalability for all users. What You Will Be Doing Tackle core challenges at the intersection of data modeling, query compilation, and large-scale interactive analytics—making it possible for end-users to query data warehouses efficiently without deep technical knowledge Design, build, and maintain sophisticated compiler infrastructure and intermediate representations that translate spreadsheet operations into optimized query plans Apply advanced optimization strategies to improve performance and accuracy across a wide range of query workloads and data architectures Contribute to both backend (Rust) and key frontend foundations (TypeScript), evolving critical abstractions that enable end-to-end workflow optimizations and new features Debug, analyze, and resolve complex issues, ensuring robustness and maintainability in a rapidly evolving product Collaborate with engineers and product stakeholders to review designs and code, driving technical best practices and architectural decisions throughout the team and company Qualifications We Need 5+ years experience engineering high-quality software systems Demonstrated success building and maintaining complex infrastructure or core platform services Deep understanding of Computer Science fundamentals, particularly in compilers, algorithms, SQL Optimization Passion for teamwork, technical ownership, and continually

TypeScriptPythonSQLAWS
SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$170K – $240K/yr

Quick readStrong listing-quality and freshness signals

About the Role Sigma is transforming how businesses run by delivering a high performance platform on modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing You will be responsible for developing elegant and responsive user experience using the latest front-end technologies. You'll own substantial pieces of the product, from design to launch Working with our product, UX design, and backend development teams, you will develop new features and technologies that make our product experience awesome and radically simplify the user experience for non-technical users You will leverage your technical expertise in front-end application development in the creation of novel visualizations for structured and unstructured data and develop new techniques for improving the performance and interactivity of the application Use modern frontend frameworks like React, GraphQL, TypeScript and Node.js Qualifications We Need 5+ years industry experience building and maintaining high-quality software An eye for great design and a passion for building products that provide a great user experience The ability to make the right trade-offs between functionality and delivery speed that supports delivering value to customers, all the while iterating based on feedback and roadmap priorities Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong computer science fundamentals Qualifications We Want (also, skills you’ll learn!) Experience building software capabilities for analyzing large scale data web applications Prior exp

TypeScriptPythonReactNode.js
SC
📍 San Francisco, Canada· Full-time
✓ High-confidence listing

$170K – $240K/yr

Quick readStrong listing-quality and freshness signals

About the Role Sigma is transforming how businesses run by delivering a high performance platform on the modern data architecture. Hence, we are growing the engineering team and looking for engineers who are excited to solve challenging problems, deliver impactful capabilities throughout our stack to build world-class technology. You will be part of a talented team of engineers with a shared mission to make data easily accessible for all users. What You Will Be Doing Solve challenging problems that arise in providing an interactive experience on data warehouses for data exploration and analysis Build with modern tools and languages like Rust, Go, GraphQL, Node, and Kubernetes Build backend distributed services, new algorithms and modern API to support a cloud application Triage product or system issues and debug/track/resolve by analyzing the sources of issues Design and implement new software features to support our fast growing user base Collaborate with peers and stakeholders through design and code reviews to ensure best practices amongst available technologies Qualifications We Need 5+ years industry experience building and maintaining high-quality software Experience building and deploying robust and secure web applications in a continuous deployment environment Desire to be a great teammate and have fun at work without compromising ownership towards your work Strong sense of craftsmanship, and a healthy academic curiosity to solve challenges at sigma Strong Computer Science fundamentals Qualifications We Want (also, skills you’ll learn!) Data driven aptitude and its application to solve distributed system problems Data model design, and API development experience SQL query optimization and database internals Administered cloud service infrastructure (GCP, AWS, Azure) Prior experience working at high growth company solving technical problems to enable continued success Additional Job details The base salary range for this position is $170k - $240

PythonSQLAWSAzure
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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $187K/yr

Quick readStrong listing-quality and freshness signals

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s infrastructure is evolving to meet the needs of our fast growing engineering org. We are looking for infrastructure engineers to join our team to help improve critical product infrastructure, with a focus on building systems that have a great developer experience and will scale as we grow. We currently have openings on: Asynchronous Serving: The Asynchronous Serving team is scaling critical systems used by Airtable’s most essential and up-and-coming product features, especially AI features. Upcoming projects include refactoring our background task queue to track its tasks in DynamoDB, adding quality of service to the job queue, and revamping a streaming service to handle 10x scale while being more resilient. Compute: The compute pod builds and manages our Kubernetes-based platform that supports every service at Airtable, including all new AI services such as vector databases, AI evals store, and document extraction and understanding services. We have a lot of exciting foundational work in our roadmap, such as Overhauling our network stack and service discovery, to simplify service setup and strengthen security Region level disaster recovery, and bringing up compute platform from 0->1 in a new region Building custom Kubernetes operators for reliably managing some of our most critical workloads Developer Platform : The Developer Platform team sits at the intersection of all engineering at Airtable, focusing on building the internal tooling, frameworks, and CI/CD systems that power our product teams. We strive to streamline developer workflows - from build and test cycles to production deployments—and foster a best-in-class developer experience. Join us if you’re passionate about creating high-lever

AWSKubernetesCI/CDRest
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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $170K/yr

Quick readStrong listing-quality and freshness signals

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. Airtable’s mission is to bring the power of computing and software development to everyone. We are developing a powerful and extensible toolkit that our customers can leverage to solve a variety of different problems and workflows. We’ve seen our most sophisticated customers use the product to run global processes across thousands of employees, coordinate precision manufacturing pipelines, and consolidate previously siloed mission-critical data into a single source of truth. The complexity of these use cases requires us to be extremely thoughtful about how we design and implement new functionality in the product and make sure it’s both easy to use and comprehend for our customers and maintainable for us. As a Full-Stack, Backend engineer at Airtable, you will have the opportunity to work with customers to deeply understand their needs and workflows. You will collaborate with cross-functional partners across product management, design, research and data science to create innovative new features that enable our customers to do their best work. You will be responsible for owning and executing the end-to-end implementation of these new features that will contribute to making our toolkit even more powerful and successful. We currently have openings on: The Admin & Governance Team (Full-Stack/BE) ensures Airtable is secure, compliant, and enterprise-ready. It owns key admin capabilities like the Admin Panel, SSO, and audit systems, as well as foundational features like User Groups. This team's mission is to accelerate organizational value for the largest customers with enterprise-first governance and controls. The Omni Capability & Quality Team (Full-Stack/BE) brings the power of AI directly to Airtable end users—

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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

From $196K/yr

Quick readStrong listing-quality and freshness signals

Airtable is the no-code app platform that empowers people closest to the work to accelerate their most critical business processes. More than 500,000 organizations, including 80% of the Fortune 100, rely on Airtable to transform how work gets done. At Airtable, we're passionate about democratizing software creation — empowering anyone to build powerful, flexible tools without writing code. With our shift to an AI-native platform, customers can now generate full apps and deploy AI agents directly into their workflows. Data engineering plays a critical role in this evolution by delivering the insights our teams rely on to improve user experience, measure agent impact, and understand how the business is performing at scale. As a Software Engineer, Data at Airtable, you'll make an enormous contribution to our data engineering efforts. You'll design and own mission-critical data pipelines to enable decision-making, partner with company leaders to create scalable data solutions, and launch innovative alerting and visualization solutions. The Team Our team is embedded in how Airtable understands itself as a business, working closely with Data Science and Analytics. What's unusual here: the platform you're instrumenting is the same one your customers use every day. When Airtable ships a new AI agent capability, you're among the first to wire it up, measure its adoption, and influence what gets built next. Product & AI Data Infrastructure This team builds and owns the foundational data pipelines that power product analytics across Airtable. As Airtable shifts to an AI-native platform, our work increasingly involves instrumenting and measuring AI product usage, building event pipelines for AI agents, surfacing AI-native adoption metrics in core business tables, and developing AI-powered data discovery tooling, including vector search over our catalog metadata. We partner closely with product analytics, product engineering, and data infrastructure to turn business question

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DC
📍 Vancouver, British Columbia, Canada· Full-time
✓ High-confidence listing

From C$250K/yr

Quick readStrong listing-quality and freshness signals

Overview We are seeking a hands-on Director of AI Software Engineering to lead and scale AI engineering efforts supporting multiple business units across Governance, Risk, and Compliance (GRC). This role sits at the intersection of product delivery, platform evolution, and applied AI—driving real-world impact across core workflows. This is not a pure management role. We are looking for a builder who leads from the front, someone who has recently written production code, shipped systems end-to-end, and can operate comfortably in ambiguity while aligning teams and stakeholders. What You’ll Do Lead AI Engineering Across GRC Own delivery of AI-powered capabilities embedded directly into business unit workflows (e.g., risk analysis, compliance automation, reporting, due diligence) Partner with product, data, and platform teams to translate business problems into scalable AI systems Stay Hands-On Contribute to architecture, code reviews, and critical path implementation Prototype and validate new approaches (LLMs, agents, retrieval systems, classification pipelines, etc.) Set engineering standards for performance, reliability, and cost efficiency Build and Scale Teams Lead and mentor a high-performing team of AI/ML and software engineers Drive hiring, coaching, and career development Establish a culture of ownership, speed, and technical excellence Drive Execution Deliver production-grade systems—not experiments Balance speed with rigor (security, privacy, compliance) Operate across multiple concurrent initiatives with clear prioritization Communicate and Influence Act as a bridge between engineering and business stakeholders Clearly articulate trade-offs, risks, and outcomes to senior leadership Align cross-functional teams around shared goals and timelines What We’re Looking For Proven Builder 10+ years in software engineering, with recent hands-on coding experience Demonstrated track record of shipping production systems at scale Experience with modern

PythonJavaAWSAzure
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📍 San Francisco, Canada· Full-time
✓ High-confidence listing

C$3 – C$7/hr

Quick readStrong listing-quality and freshness signals

You will: Manage the growth program from end to end, including top-of-the-funnel growth / recruiting campaigns, applications processing, and hiring and onboarding Represent and champion the brand, promoting its value proposition to candidates and stakeholders, driving engagement, and taking ownership of process improvements that streamline growth pipelines and support program success Optimize full growth funnel for conversion and experience Build and lead new growth recruiting campaigns and channels to meet business goals Be the subject matter expert for all recruiting systems (ATS: Greenhouse), tools, and processes, and provide training/onboarding as needed Own internal reporting and analytics, and keeping all the internal hiring data clean and up-to-date in our systems Be the strategic driver behind on impactful initiatives to improve the workflow, data infrastructure and reporting Proactively flag discrepancies in hiring plans, interview process, JDs, offer details, etc. and maintain data integrity and operational excellence within the team Work from the San Francisco office, with occasional travel for onsite growth events. Ideally you’d have: Minimum of 3-7 years of experience working in Growth, Recruiting or RecOps at a rapidly growing company Extensive experience using Greenhouse as a Site Admin (user permissions, approvals, custom options) and pulling ad hoc reports using our internal TA tools (report connector, reporting capabilities, and limitations) Strong knowledge of Gsuite (VLOOKUP, pivot tables, data validation, conditional statements and formatting, filters, etc.) Excellent written and verbal communication skills, with the ability to tailor messaging to diverse audiences Must have a deep understanding of Growth / Recruiting Pipelines, Funnels and Conversion metrics Demonstrated excellent project management skills, ability to pull and manipulate data sets, critically analyze existing processes, and identify opportunities for process improvement Able to

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