Analytics Engineer building dbt models, AI - ready datasets, and Tableau reporting for Movable Ink’s content personalization platform. Translating stakeholder needs into trusted metrics and business intelligence.
About the role
- Data Analytics Engineer building trusted SQL data systems for Toptal, a global talent network. Owning transformation, governance, warehousing, and AI-enabled analytics foundations.
Responsibilities
- Drive business impact and better decision making by laying the data foundation for a world-class analytics function
- Own and maintain the data transformation layer
- Design, write, review, and ship SQL models that transform raw data into usable data products
- Work with Data Engineers to add, model, and publish new data sources in the data warehouse
- Monitor the data warehouse and identify opportunities to improve operations, accuracy, quality, coverage, integrity, structure, and usability
- Translate ambiguous business requests into modeled data and establish business rules and edge cases
- Implement measures to improve data quality, lineage, access, and retention across source production databases
- Own the data dictionary and document tables, columns, data flows, definitions, and calculation methodologies
- Diagnose and resolve data incidents
- Review teammates’ code and provide feedback
- Collaborate with Business Analysts, Data Engineers, Data Scientists, and business process owners
- Enable end users to understand and use data effectively
- Improve agent playbooks, documentation, and data warehouse tooling
- Contribute architectural ideas for the data environment and pipelines
- Help establish the Business Analytics Center of Excellence and improve warehouse usability for analysts and AI agents
Requirements
- Bachelor’s degree is required, preferably in Engineering or a related technical field
- 4+ years of experience in an Analytics Engineer, Data Engineer, or Data Analyst role where you personally shipped production data models
- Expert-level SQL skills and working knowledge of Python
- Fluency with LLMs and agentic coding tools, such as Claude Code, Cursor, or equivalent
- Experience with cloud data warehousing, such as BigQuery or Snowflake
- Good understanding of a modern transformation framework, such as dbt, Dataform, SQLMesh, or similar
- Git fluency, including branching, pull requests, code review, and conflict resolution
- Strong familiarity with orchestration tools such as Airflow, Cloud Composer, Dagster, or Prefect
- Understanding of Jira, ticket hygiene, code review etiquette, and avoiding unverified LLM-generated code
- Experience with exploratory/raw data analysis, data modeling, and data governance
- Experience translating business logic and objectives into SQL code and linking data and analytics to business strategy and operations
- Familiarity with BI tools such as Tableau or Power BI
- Detail oriented, methodical, and thorough
- Strong relationship-building and collaboration abilities
- Outstanding written and verbal communication skills, including explaining complex issues simply
- Ability to work collaboratively and independently and take ownership of quality, accuracy, and timeliness
- World-class individual contributor mindset
Benefits
- Fully remote work environment
- Support structure encouraging innovation, social interaction, and fun
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