BI Engineer
Listed on 2025-12-24
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IT/Tech
Data Analyst, Data Engineer, Data Science Manager
Ascentt is building cutting-edge data analytics & AI/ML solutions for global automotive and manufacturing leaders. We turn enterprise data into real-time decisions using advanced machine learning and GenAI. Our team solves hard engineering problems at scale, with real-world industry impact. We’re hiring passionate builders to shape the future of industrial intelligence.
Job Summary:We are seeking a motivated Junior BI Engineer to join our analytics team. The ideal candidate will be responsible for developing and maintaining business intelligence solutions, working closely with stakeholders to deliver actionable insights. This role involves building dashboards, writing SQL queries, supporting data models, and ensuring the accuracy and reliability of reporting solutions.
Key Responsibilities:- Develop and maintain BI dashboards and reports using tools such as Power BI or Tableau
. - Write, optimize, and maintain SQL queries to extract, clean, and analyze data from relational databases.
- Collaborate with business stakeholders to gather requirements and translate them into effective technical solutions.
- Support the design and implementation of data models, metrics, and KPIs.
- Assist in ETL processes and integrate data from multiple systems.
- Ensure accuracy, consistency, and quality of data and reporting deliverables.
- Participate in code reviews, QA testing, and documentation to maintain best practices and standards.
- Bachelor’s degree in Computer Science, Information Systems, Data Analytics, or a related field.
- Hands‑on experience with BI tools (Power BI, Tableau, or similar).
- Strong knowledge of SQL and relational databases.
- Basic understanding of ETL processes and data integration concepts.
- Good analytical and problem‑solving skills with strong attention to detail.
- Ability to work collaboratively in a team environment and communicate effectively with stakeholders.
- Exposure to cloud platforms (AWS, Azure, or GCP).
- Familiarity with version control (Git) and Agile methodologies.
- Knowledge of Python or R for data analysis.
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