Data Analytics Engineer / BI Analyst

About the job

Job Summary: We are looking for an experienced and business-oriented Data Analytics Engineer / BI Analyst with strong expertise in Power BI and Python, and a solid understanding of the aviation aftermarket domain. The role will focus on transforming complex operational, engineering, and supply-chain data into meaningful insights that support strategic and day-to-day decision-making. The ideal can ... didate will design scalable analytical solutions, automate data workflows, and deliver high-impact dashboards for business and operational leaders. Key Responsibilities: • Design, develop, and maintain interactive Power BI dashboards and reports to support aviation aftermarket operations such as maintenance, material planning, reliability, rentals, and customer support. • Develop and maintain Python-based data pipelines and scripts for data extraction, cleansing, transformation, automation, and advanced analysis. • Integrate and manage data from multiple sources including Excel files, databases, CSVs, SAP extracts, APIs, and operational systems. • Perform data validation, reconciliation, and quality checks to ensure accuracy, consistency, and traceability of business-critical metrics. • Work closely with business stakeholders (engineering, planning, supply chain, operations, and management) to understand requirements and translate them into analytical and reporting solutions. • Standardize reporting frameworks, KPI definitions, and data models; establish best practices for visualization, performance, and usability. • Support ad-hoc analysis, root-cause investigations, and trend analysis to drive continuous process improvements. • Document data models, business logic, assumptions, and analytical workflows to support knowledge transfer and scalability. Required Skills & Qualifications: • Strong hands-on experience with Power BI including DAX, Power Query, data modeling, performance optimization, and security concepts. • Strong programming experience in Python (pandas, numpy, automation scripting, data processing). • Solid understanding of data analytics concepts, data transformation techniques, and visualization principles. • Advanced experience with Microsoft Excel (complex formulas, pivot tables, data analysis). • Ability to analyze large and complex datasets and communicate insights in a clear, business-focused manner. • Strong analytical, problem-solving, and structured thinking skills. • Effective communication skills with the ability to work seamlessly with both business users and technical teams. Good to Have (Preferred): • Strong working knowledge of SQL and relational databases. • Experience with ETL frameworks, data pipelines, or workflow automation. • Exposure to cloud platforms such as Azure, AWS, or similar analytics ecosystems. • Proven domain experience in aviation aftermarket, including MRO, material planning, reliability, fleet management, rentals, or engineering analytics. • Experience in developing standardized dashboards, reusable templates, and scalable analytics solutions. Education & Experience: • Bachelor’s degree in Engineering, Computer Science, Data Science, or a related discipline. • 5–7 years of relevant experience in data analytics, business intelligence, or automation roles (flexible for candidates with strong domain and technical expertise).

Requirements

• Power BI
• Python
• Data Analytics
• Excel
• SQL

Qualifications

• Bachelor’s degree in Engineering, Computer Science, Data Science, or related discipline

Preferred Technologies

• Power BI
• Python
• Data Analytics
• Excel
• SQL

Benefits

• Opportunity to work on high-impact, data-driven improvements within the aviation aftermarket domain.
• Exposure to complex, real-world operational and engineering datasets.
• Collaborative and growth-oriented environment with opportunities to influence analytics strategy and best practices.

About the company

Cyient is a leading global engineering and technology solutions company that has a strong presence in the aviation sector. The company focuses on transforming complex operational, engineering, and supply-chain data into meaningful insights to support strategic decision-making. Cyient provides high-impact dashboards and analytical solutions for business needs.