Analytics Engineer

This role is for one of the Weekday's clients

We believe that data is the foundation of every strategic decision. As we build a cutting-edge enterprise SaaS platform, data plays a central role in shaping our business and product strategies. We are seeking an experienced Senior Analytics Engineer to architect and implement scalable analytics solutions that empower teams and drive business transformation. If you are passionate about data engineering and turning complex datasets into actionable insights, we want to hear from you!

About the Role

As a Senior Analytics Engineer, you will be responsible for designing, building, and maintaining the data and analytics infrastructure at an enterprise level. You will collaborate with cross-functional teams—including product, engineering, and business operations—to ensure data quality, accessibility, and usability. This role provides a unique opportunity to shape data strategy and influence product direction through data-driven insights.

Requirements

Key Responsibilities

• Design & Implement Scalable Solutions – Architect and develop end-to-end analytics systems, including data ingestion, modeling, and visualization, ensuring robustness and scalability for large data volumes.
• Data Modeling & Pipeline Development – Create and maintain dimensional data models, build and optimize ETL/ELT pipelines, and automate reporting using modern data stack technologies (e.g., dbt, Airflow, Redshift, Python, Sisense, Athena, Apache Iceberg).
• Collaborative Data Analysis – Partner with product teams to instrument and analyze user behavior data, translating business needs into technical requirements and delivering insightful analytics.
• Data Quality & Monitoring – Implement data quality checks and monitoring frameworks to ensure accuracy, reliability, and consistency.
• Documentation & Knowledge Sharing – Develop and maintain comprehensive documentation for data models, business logic, and analytical workflows.
• Mentorship & Leadership – Guide and mentor junior engineers and analysts, fostering a culture of data engineering excellence and best practices.

Qualifications

• 5+ years of experience in analytics engineering, data engineering, or similar roles within SaaS or enterprise settings.
• Advanced SQL proficiency, with a strong track record of designing and implementing scalable data models.
• Hands-on experience with BI and visualization platforms (e.g., Looker, Sisense, Tableau, Power BI).
• Proficiency in dbt (or similar transformation tools) for data transformation and pipeline automation.
• Experience working with cloud data warehouses (e.g., Redshift, Snowflake, BigQuery).
• Strong Python skills for data manipulation and analysis.
• Excellent communication and collaboration skills, with the ability to translate complex technical concepts for non-technical stakeholders.

Preferred Qualifications

• Experience in modeling complex datasets for BI and analytics.
• Familiarity with Airflow (or similar ETL tools).
• Knowledge of data governance and security best practices.
• Exposure to real-time data streaming technologies (e.g., Kafka, Kinesis).
• Understanding of machine learning and statistical modeling techniques.