Analytics Engineer

Who is this for

If solving business challenges drives you. This is the place to be. Fornax is a team of cross-functional individuals who solve critial business challenges using core concept of analytics, critial thinking.

We are seeking a skilled Analytics Engineer who has worked with a D2C / Retail domain. The ideal candidate will possess a strong blend of functional and technical expertise, particularly in Google Analytics, Google Ads, Facebook Ads, Amazon Ads. Good understanding of the entire D2C / E-Commerce marketing value chain.

The Analytics Engineer will play a critical role in designing, developing, and maintaining our data infrastructure. This role involves working closely with data scientists, analysts, and business stakeholders to ensure data integrity, build robust data pipelines, and deliver insightful analytics solutions. The ideal candidate has a strong background in data engineering, analytics, and a keen eye for detail.

Key Responsibilities:

Data Pipeline Development: Design, build, and maintain scalable ETL processes.
Data Modeling: Develop and maintain data models to support analytics and reporting.
Collaboration: Work with data scientists, analysts, and stakeholders to understand data needs.
Data Quality: Implement data quality checks and ensure data accuracy.
Analytics: Create and maintain dashboards and reports for actionable insights.

Key Skills
Education: Bachelor’s degree in Computer Science, Data Science, Engineering, or related field.
Experience: 2+ years in data engineering or analytics.
Technical Skills:
Proficiency in SQL and database technologies (e.g., PostgreSQL, MySQL).
Core expertise with dbt (data build tool).
Experience with data pipeline tools (e.g., Apache Airflow/ Mage).
Familiarity with cloud platforms (e.g., AWS, Google Cloud).
Knowledge of Python or R.
Experience with data visualization tools (e.g., Tableau, Power BI).