Data Analyst

Company Description

Cyient is a global lifecycle engineering services company that supports mission-critical industries from initial design through aftermarket services across products, plants, and networks. With more than 300 customers and 15,000 associates in over 30 countries, Cyient combines human expertise, deep domain knowledge, and AI to deliver intelligent engineering solutions.

The company serves sectors such as Aerospace and Rail, Automotive and Mobility, Connectivity, Energy, Healthcare, Mining, and Utilities. Cyient emphasizes delivering exemplary outcomes and long-term value for its clients, creating opportunities for professionals to work on complex, impactful projects.

Role Description

The Data Analyst role at Cyient is a full-time, on-site position based in Peoria, IL. In this role, the Data Analyst will gather, clean, and validate data from multiple sources to support business and engineering decisions. The role involves performing data analysis, developing reports and dashboards, and building data models to identify trends, patterns, and insights.

The Data Analyst will collaborate with cross-functional teams to define data requirements, translate business questions into analytical approaches, and present findings in a clear, actionable format. The position also includes documenting methodologies, maintaining data quality standards, and continuously improving analytics processes and tools.

Qualifications

• Candidates should possess strong Analytical Skills and Data Analytics capabilities to interpret complex data sets and solve business problems.
• Candidates should possess solid knowledge of Statistics and Data Modeling to design robust analyses and build predictive or descriptive models.
• Candidates should possess clear and effective Communication skills to present insights, reports, and recommendations to technical and non-technical stakeholders.
• Candidates should possess proficiency with data tools such as SQL, Excel, and business intelligence or visualization platforms (e.g., Power BI, Tableau).
• Candidates should possess experience working with large datasets, data cleaning, and data validation in an engineering or industrial context is beneficial.
• Bachelor’s degree in Data Science, Statistics, Engineering, Computer Science, or a related field; relevant experience or certifications in analytics are an advantage.
• Ability to work collaboratively in cross-functional teams, manage multiple priorities, and maintain attention to detail in a fast-paced environment.