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About the Role

Support the Foundation Insights team by driving analytics, enablement, and data-driven decision-making for global engineering and product teams. Transform raw data into trusted metrics, self-service dashboards, and actionable analyses. Own analytical domains end-to-end, working across a modern data stack including Snowflake, dbt, and Airflow.

Responsibilities

• Develop SQL queries and dbt models to transform engineering and operational data into analysis-ready data models.
• Build and maintain self-service dashboards and reports for engineering productivity, AI adoption, reliability, and cost metrics.
• Define and standardize metrics across engineering teams, owning metric semantics.
• Measure platform adoption, AI tool usage, and ROI, communicating findings through quantitative analysis and qualitative storytelling.
• Proactively conduct analyses to identify insights into engineering and business matters, investigating data anomalies and root causes.
• Write clear documentation and enablement material for stakeholder self-service.
• Collaborate with internal engineering, product, and data teams, reviewing peer work and aligning on definitions.
• Implement data quality tests, monitoring, and validation to ensure accuracy.
• Integrate data from APIs and third-party tools into Snowflake for analytics and AI enrichment.

Requirements

• 3+ years of experience in analytics or data space, delivering analyses and metrics that drive decisions.
• Proven proficiency in SQL, comfortable with complex queries and data transformation.
• Hands-on experience with dbt or strong willingness to learn quickly.
• Experience with data visualization/BI or dashboarding tools (e.g., Tableau, Looker).
• Experience with a cloud data warehouse (e.g., Snowflake, BigQuery, Redshift, Databricks).
• Internally motivated, self-starter with an analytical and curious mindset.
• Ability to work cross-functionally and communicate technical concepts to diverse audiences.
• Detail-oriented with a passion for data quality, problem-solving, and reliable metrics.
• Proficiency in Python and familiarity with data modeling, forecasting, and analysis techniques.
• Experience developing and deploying open-source BI solutions.
• Familiarity with software engineering best practices (Git/GitHub, code review, CI/CD, testing).
• Background working with large datasets, data APIs, and cloud object storage (AWS/GCP).
• Experience with data quality monitoring tools (Monte Carlo, dbt tests).
• Fluency with modern AI tooling (Claude, GPT/Codex, MCP servers, AI agents) and experience embedding AI-assisted workflows.
• Knowledge of engineering productivity metrics (DORA metrics, PR review cycles, deployment frequency, incident management KPIs).

Skills

• SQL
• dbt
• Data Visualization
• BI Tools
• Dashboarding
• Cloud Data Warehousing
• Snowflake
• BigQuery
• Redshift
• Databricks
• Python
• Data Modeling
• Forecasting
• Data Analysis
• Git
• GitHub
• CI/CD
• Testing
• API Integration
• Cloud Object Storage
• AWS
• GCP
• Data Quality Monitoring
• Monte Carlo
• AI Tooling
• Claude
• GPT
• Codex
• MCP Servers
• AI Agents
• DORA Metrics

Location

• US

Work Type

• Hybrid

Experience Level

• Senior
• 3+ years

Salary/Compensations

• $151,000.00-$227,000.00

Benefits

• Bonus
• Benefits
• Related incentives

About the Company

• Zendesk software was built to bring a sense of calm to the chaotic world of customer service.
• We power billions of conversations with brands you know and love.
• Our hybrid way of working enables us to purposefully come together in person, at one of our many Zendesk offices around the world, to connect, collaborate and learn whilst also giving our people the flexibility to work remotely for part of the week.

Equal Opportunity

• As part of our commitment to fairness and transparency, we inform all applicants that artificial intelligence (AI) or automated decision systems may be used to screen or evaluate applications for this position, in accordance with Company guidelines and applicable law.
• Zendesk is an equal opportunity employer, and we’re proud of our ongoing efforts to foster global diversity, equity, & inclusion in the workplace.
• Individuals seeking employment and employees at Zendesk are considered without regard to race, color, religion, national origin, age, sex, gender, gender identity, gender expression, sexual orientation, marital status, medical condition, ancestry, disability, military or veteran status, or any other characteristic protected by applicable law.
• We are an AA/EEO/Veterans/Disabled employer.
• If you are based in the United States and would like more information about your EEO rights under the law, please click here.
• Zendesk endeavors to make reasonable accommodations for applicants with disabilities and disabled veterans pursuant to applicable federal and state law.
• If you are an individual with a disability and require a reasonable accommodation to submit this application, complete any pre-employment testing, or otherwise participate in the employee selection process, please send an e-mail to peopleandplaces@zendesk.com with your specific accommodation request.