Description
As an Analytics Engineer, you will be responsible for transforming raw data from our applications into structured datasets for large-scale analysis and machine learning models. You will work closely with our development, data science, and business intelligence teams to ensure data integrity, quality, and accessibility.
Responsibilities
- Data Modeling: Research and work with business stakeholders to develop our data warehouse model.
- Data Transformation: Clean, transform, and enrich data to create high-quality datasets suitable for analysis and machine learning.
- Collaboration: Work closely with product teams, software developers, data scientists, and analysts to understand data needs and deliver innovative solutions.
- Data Management: Ensure data accuracy, consistency, and reliability across all datasets.
- Optimization: Optimize data processes for performance and scalability.
- Documentation: Maintain comprehensive documentation of transformation logic and lineage.
Qualifications
- Educational Background: Bachelor’s degree in computer science, Data Engineering, or a related field.
- Experience: 3+ years of experience as an Analytics Engineer or in a similar role.
- Strong Communication skills: Ability to work with technical and non-technical audiences to translate business requirements into data models.
- Technical Proficiency:
- Data Warehousing: Knowledge of data warehousing concepts and solutions (e.g., Redshift, Snowflake).
- Data modeling: experience in modern data modeling practices, ideally dimensional modeling.
- Programming Languages: Proficiency in SQL and a familiarity with Python.
- Data Processing: Experience with ETL tools and frameworks (e.g., Apache Airflow, Luigi, DBT).
- Database Management: Strong knowledge of relational databases (e.g., PostgreSQL, MySQL) and NoSQL databases (e.g., MongoDB, Cassandra).
- Version Control: Proficient with version control systems (e.g., Git).
- Machine Learning: Understanding of machine learning concepts and experience working with data for ML model training.
- AI: Familiarity and enthusiasm for bleeding-edge analytical enablement using tools such as Large Language Models and Prompt Engineering.
hackajob is partnering with Verisk Analytics to fill this position. Create a profile to be automatically considered for this role—and others that match your experience.
