Senior Analytics Engineer, Product Analytics

Zendesk; Ciudad de México; Híbrido; MXN 1,468,000 - 1,836,000; Jornada completa

Descripción de la vacante

A leading customer service platform is seeking a Senior Analytics Engineer to drive data insights for product adoption and customer retention. This role involves designing scalable data solutions, collaborating with teams, and optimizing data delivery. The ideal candidate will have experience in data engineering and analytics, strong SQL skills, and a passion for data innovation. The position is hybrid, requiring some in-office presence in Mexico City.

Servicios

Collaborative team environment

Flexibility to work remotely part-time

Opportunities for skill growth and development

Formación

• Experience building, maintaining, and working with data pipelines and ETL processes in big data environments.
• Hands-on experience with performance testing and capacity planning for complex data systems.
• Excellent communication and collaboration skills.

Responsabilidades

• Collaborate to define requirements and translate them into scalable data models.
• Develop and maintain ELT pipelines for data reliability.
• Transform raw data into structured formats for analytics and reporting.

Conocimientos

SQL

Data modeling

Collaboration

Data visualization tools

Educación

Degree in a quantitative field (BS/BA or equivalent)

Herramientas

dbt

Airflow

Snowflake

Google BigQuery

Amazon Redshift

Tableau

Looker

Descripción del empleo

Overview

Who we’re looking for:

The Product Analytics team is seeking a Senior Analytics Engineer who will become a key player in driving data insights that fuel product adoption and customer retention. You will work on designing and implementing scalable, high-quality data solutions, collaborating closely with engineering and analytics teams to enhance Zendesk’s operations. This role offers an exciting opportunity to grow your skills in a dynamic environment and make a measurable impact on how Zendesk leverages data.

Responsibilities

• Collaborate with team members to define requirements and translate them into scalable data models and pipelines.

• Develop and maintain ELT pipelines, ensuring data reliability and scalability for business reporting and analytics use cases.

• Work with raw data and transform it into structured, usable formats for analytics and reporting.

• Build and optimize SQL-based data models using dbt and other ETL tools.

• Identify and implement improvements in data delivery, processing performance, and system efficiency.

• Contribute to the team’s technical vision and bring innovative solutions to enhance data systems.

• Partner with data engineering teams to drive standardization and consistency of product data modeling, schemas and insights reporting across the entire company

Qualifications

• Background in a quantitative field, such as analytics, engineering, applied mathematics, statistics. A degree (BS/BA or equivalent experience) is preferred.

• Data engineering/analytics engineering experience building, maintaining and working with data pipelines & ETL processes in big data environments.

• Extensive experience with SQL, ideally in the context of data modeling and analysis.

• Hands-on production experience with dbt, Airflow and Snowflake.

• Experience with cloud columnar databases (Google BigQuery, Amazon Redshift, Snowflake), query authoring (SQL) as well as working familiarity with a variety of databases.

• Proven experience in performance testing, capacity planning, and cost optimization for large-scale, complex data pipelines and systems. This includes identifying bottlenecks, ensuring scalability, and minimizing operational costs in cloud-based data environments.

• Experience with Tableau, Looker, or similar data visualization tools

• Excellent communication and collaboration skills.

• Boundless intellectual curiosity - you are self-motivated and unafraid to ask questions in order to learn and grow

• Experience at fast-paced and scaled B2B Tech companies a plus

Locations & Hybrid

Please note that anyone hired into this position must be physically located in and plan to work from Mexico City (CDMX) or Mexico State (Estado de Mexico).

Hybrid: In this role, our hybrid experience is designed at the team level to give you a rich onsite experience packed with connection, collaboration, learning, and celebration - while also giving you flexibility to work remotely for part of the week. This role must attend our local office for part of the week. The specific in-office schedule is to be determined by the hiring manager.

The intelligent heart of customer experience

Zendesk software was built to bring a sense of calm to the chaotic world of customer service. Today we power billions of conversations with brands you know and love.

Zendesk believes in offering our people a fulfilling and inclusive experience. 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.

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 [e-mail] with your specific accommodation request.