Data Analyst I - AMS

Location: India - Remote

Time Type: Full time

Job Description

Extracts knowledge and insights from high volume, high dimensional data in order to investigate complex business problems through a range of data preparation, modeling, analysis and/or visualization techniques, which may include the use of advanced statistical analysis, algorithms, predictive modeling, experimentation and pattern recognition to create solutions that enable enhanced business performance. Examines and identifies data patterns and trends to help answer business questions and improve decision making. Provides inputs for complex Data Science and Big Data Mining projects. Identifies areas to increase efficiency and automation of data analysis processes.

Nordson seeks an experienced data analyst with expertise in Power BI, MS Azure and Denodo.   In your role as a Data Analyst, you will be responsible for Customer Requirements, Troubleshooting, Power BI Development, and Testing across functional teams and across multiple Nordson Business units. Your responsibilities include software development, customer interfacing, data analysis, and Denodo configuration with data initiatives and ensuring a consistent data delivery is put in place throughout ongoing projects.

Essential Job Duties and Responsibilities

• Design and implement corporate Power BI solutions interfacing with Azure services such as Azure SQL Database, Azure Synapse and Azure Data Lake Storage
• Develop and maintain Service Now data to enact DnA solutions
• Understand and help maintain corporate Denodo architecture
• Create and maintain Denodo metadata
• Understand business objectives, define performance metrics and drive data-driven strategies to achieve them.
• Work cross-functionally to support multiple key stakeholders and provide insights
• Work with the DnA Team and Business users to create Business Intelligence visualizations
• Evaluate ServiceNow issues to identify and recommend solutions to strategic DnA issues
• Perform complex data analysis, identify the root cause of system and process issues, and develop solutions
• Assess the end-to-end process and identify opportunities for enhancement; develop dashboards and report insights
• Define objectives per business requirements; assist business analysts, data analysts, and data scientists in analyzing the data

Education and Experience Requirements

• Experience in large-scale datasets, analysing data to solve business problems, and presenting impactful insights to all levels of a corporate hierarchy
• Knowledge of SQL and NoSQL tools used in data modelling and data mining processes
• Experience in data warehousing and understanding of data extraction techniques like ETL processing
• Ability to collaborate with multiple business partners and thrive in a fast-paced environment
• Interpret insights from quantitative and qualitative data.
• Technical leadership to mentor other analysts to ensure best practices.
• Bachelor’s degree in Computer Science, Business Informatics, Mathematics or similar field

Preferred Skills and Abilities

• Experience in data analysis and developing technological business strategies
• Knowledge of SQL and cloud data warehousing technologies, including Denodo
• Strong analytical mindset and creative problem-solving skills
• Experience in using BI and data visualization tools like Tableau, Power BI and Looker
• Excellent verbal and written communication skills

Working Conditions and Physical Demands

To perform this job successfully, an individual must be able to perform each essential duty satisfactorily. The requirements listed above are representative of the knowledge, skill, and/or ability required. Reasonable accommodation may be made to enable individuals with disabilities to perform the essential functions.

The employee is regularly required to sit; use hands to finger, handle, or feel; and talk or hear. The employee is occasionally required to stand, walk, and reach with hands and arms; requires close vision ability. Noise level is usually moderate.

Travel Required

  None

 Minimal

  Estimated