Analytics Engineer

About the job

ZAGENO is looking for an Analytics Engineer. As an Analytics engineer you will work with a small but growing data team to work across two main areas (1) moves and transforms data from the source so that it can be easily analyzed visualized and acted upon by the data analyst or business user. (2) to generate the data required for AI/ML models from data lake house to data science and analytics. Given the variety of data and applications at ZAGENO you will be collaborating with people and teams across the company. The ideal candidate will be data and dataquality driven collaborative proactive and curious.

In this role you will:

• Work closely with the Data Analysts to understand the business cases for analysis challenges and data requirements
• Work closely with Data Engineering team and serve as a business data expert providing support in setting technical requirements business acceptance testing and maintaining documentation
• You will be overseeing existing data models connections and automation for ZAGENO and Identifying opportunities for improving data reliability efficiency and performance
• As ZAGENO utilizes many 3rdparty data sources you will be responsible for maintaining communication with the internal ZAGENO stakeholders
• In your daytoday work you will primarily use SQL Python GitHub DBT BigQuery Databricks
• Stay uptodate on latest technologies and tools for data measurement and analytics.
• Work with crossfunctional stakeholders to understand their analytics needs to build efficient and scalable data solutions.
• Work closely with the Abacus.ai and Data Engineering team for building AI/ML models
• On this final point professional growth we are particularly focused on developing high potential super smart people by adding to their technical skills including AI; expanding their soft skills; and encouraging them to work with and learn from a wide array of colleagues of all experience levels.

About You:

• 2 years of experience as an Analytics Engineer
• Expertise in an objectoriented or functional language is required (we use Python)
• Experience using BigQuery and DBT
• Experience with Data Visualization tool Tableau
• Strong experience with Data Modeling
• Experience working with Databricks using AWS Cloud
• Strong SQL skills are required (we currently use Postgres BigQuery Databricks)
• Expertise with cloud environments is a must (we are a GCP and AWS shop)
• Experience with cloud data warehouses and distributed query engines is a plus
• Keen attention to detail proactive and curious
• Ability to work with ambiguity and drive analytical solutions pragmatically to completion
• Proven record of designing and developing systems with desired SLAs and data quality metrics
• Experience with Machine Learning amp; MLOPs is a big plus
• Experience working with Data Observability solutions (Metaplane Acceldata etc.)
• Technical understanding of the importance of performance measures and their relation to business objectives
• A global team player energized by collaborating and leading across cultures and geographies.

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Remote Work :

No