Analytics Engineer at IncepIT

Top 3 Reasons To Join Us Salary up to 2500 Funny working environment Under little supervision The 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. Your Skills and Experience At least three years of hands-on experience in analytics engineering, data engineering, advanced analytics or a closely related position. Strong SQL skills, including complex joins, aggregations, window functions and data-quality investigation. Practical Python experience for data processing, automation and validation. Experience organizing fragmented or inconsistent data into maintainable analytical datasets. Understanding of data modeling and ETL/ELT workflows. Experience implementing data-quality checks and troubleshooting data issues. Experience with Git or another version-control system. Strong documentation and problem-solving habits. Professional English communication skills. Ability to work independently while collaborating effectively with technical and business teams. Demonstrated ability to use AI-assisted tools responsibly and verify their output independently. Why You'll Love Working Here Challenging Supportive Collaborative Innovative Benefits: Supportive working environment Annual company trip Free English class to support for English study Company health insurance. General company activities (birthday party, football...). Full of snacks, fruits, ... in the kitchen to help yourself during work time. Career growth opportunities. Very competitive salary 13th-month salary. Salary is reviewed twice per year based on performance