Sr. Data Analytics Engineer

About the role

FableticsOS is seeking a Senior Data Analytics Engineer to enhance the data infrastructure supporting Global Supply Chain and Merchandise Planning. The ideal candidate will integrate logistics and planning data, build scalable data models, and provide technical leadership to planning and supply chain teams.

Responsibilities

• Build trusted, reusable data products by connecting disparate supply chain and merchandising datasets into curated data products across the data lake and EDW, with reliable, well-defined metrics that power self-serve analytics across teams.
• Own data quality across fragmented upstream systems, building the monitoring and controls that keep critical feeds reliable and integrations healthy as the planning landscape evolves.
• Model data using best practices, applying established Data Warehousing methodologies, primarily Dimensional (Kimball) modeling.
• Transform large, complex datasets into actionable insights, delivered in a consumable format for historical and predictive analysis.
• Validate data products before release by building data visualizations to trial and validate them before releasing them to customers.

Requirements

• 6+ years of experience in a data or software-adjacent field, working with systems and data infrastructure at scale.
• Experience designing and implementing mature data pipelines across a data lake and Enterprise Data Warehouse (EDW), using Dimensional (Kimball) modeling methodologies.
• Experience integrating data across fragmented or disparate source systems into coherent, reliable data products.
• Experience with ELT/ETL tooling and workflow orchestration (e.g., Apache Airflow).
• Strong experience with relational databases and SQL in an analytical context.
• Experience with data exploration, visualization, and data storytelling.
• Excellent written and spoken communication skills, with a proven ability to work with a wide range of both technical and non-technical stakeholders.
• Highly skilled at writing and maintaining high-quality, reusable code, applying design patterns and meeting coding standards.
• A pragmatic adopter of AI in your own work — you use LLMs and AI-assisted tooling to accelerate development, code review, documentation, and data exploration, with good judgment about where they help and where they don't.
• Track record of independently owning complex, ambiguous data initiatives end-to-end — making the architectural decisions, setting standards, and influencing technical direction across teams.
• Experience with Snowflake, Airflow and Tableau is preferred.

Qualifications

• Familiarity with supply chain, logistics, or merchandise planning data and processes (e.g., POs, freight/landed cost, assortment, production, or capacity planning).
• Exposure to logistics visibility tools and/or merchandise and supply chain planning platforms.
• Foundational AI literacy, including experience using generative AI tools, and a proactive mindset to experiment with new technologies to drive productivity and innovation.

Skills

• Strong programming skills in Python, R, or SQL.
• Experience with data warehousing and ETL processes.
• Knowledge of data modeling techniques, particularly Dimensional (Kimball) modeling.
• Ability to communicate complex data concepts to non-technical stakeholders.
• Experience with data visualization tools like Tableau.

Benefits

This role offers a competitive compensation package, including a range from $120,000 - $140,000 annually, with benefits such as a hybrid work schedule, discretionary paid time off, summer Fridays, healthcare plans, employee discounts, 401(k) program, and an annual bonus. FableticsOS is committed to fostering a diverse and inclusive workplace, and encourages applications from all qualified individuals.

Pay

The annual base salary range for this position is from $120,000-$140,000. The range provided includes the base salary that FableticsOS expects to pay for the role. Offered base salary will be dependent on factors including the scope and complexity of the role, candidate's related work experience, subject matter expertise, and work location.

Schedule

This role is remote-friendly, with headquarters based in El Segundo, CA.