IncepIT

Overview of job

We are looking for Analytics Engineers who can transform raw and fragmented data into reliable, well-structured and reusable data products.

This position combines analytics, data engineering and data-quality responsibilities. You will use SQL, Python and AI-assisted tools to build dependable datasets, automate recurring work and make data easier for analysts and business teams to understand and use.

We value a strong data-organization mindset: clear definitions, consistent naming, documented ownership, traceable lineage, automated quality checks, version control and reproducible work.
 
Responsibilities:

• Understand business requirements and translate them into appropriate data models and technical solutions.
• Build and maintain clean, reusable analytical datasets and data models.
• Develop SQL and Python workflows for data transformation, validation, reconciliation and automation.
• Convert recurring manual processes into tested and reproducible workflows.
• Establish automated checks for data completeness, freshness, consistency and accuracy.
• Investigate data-quality issues and coordinate with relevant teams to resolve their root causes.
• Maintain data dictionaries, metric definitions, lineage documentation and naming standards.
• Apply version control, testing and code-review practices.
• Improve the accessibility and discoverability of trusted data.
• Support analysts and business users in using data correctly and consistently.
• Communicate technical decisions, limitations and trade-offs to technical and non-technical stakeholders.
• Use approved AI agents to accelerate data exploration, coding, testing and documentation.
• Independently review AI-generated work and protect confidential or personal information.