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Urgent! Senior Analytics Engineer, Product Analytics Job Opening In Kraków – Now Hiring Zendesk

Senior Analytics Engineer, Product Analytics



Job description

Job Description

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.

What you’ll be doing:

  • 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

What you bring to the role:

  • 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

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.


Required Skill Profession

Mathematical Science Occupations



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