Position Overview

Designing and maintaining data systems and databases this includes fixing errors and other data-related problems.Mining data from primary and secondary sources, then reorganizing said data in a format that can be easily read by either human or machine.
Using statistical tools to interpret data sets, paying particular attention to trends and patterns that could be valuable for diagnostic and predictive analytics efforts. Collaborating with programmers, engineers, and organizational leaders to identify opportunities for process improvements, recommend system modifications, and develop policies for data governance
  1. Understand the meaning of data analysis to provide value for business decision
  2. Using the right tool kit to extract and harness data from a variety of systems, analyze, and present results
  3. Identify training required to ensure appropriate level of business acumen for mgmt. team and engineering
  4. Work on systems like PLM,MES & ERP (SAP)
  5. Ability to create and maintain master data, process plan and acts as a data liaison
  6. Ability to Maintain/Update Bill of materials, Routings, Workcenter and production versions
  7. Execute all regular transaction processes necessary to maintain operations records and databases (SAP, JDE and Windchill)
  8. Perform extracting, importing, and exporting of data in various database applications (SAP, JDE, PLM and Windchill)
  9. Assist in implementation, testing, and validating data.
  10. Perform data analysis of key problem areas to assist in root cause analysis.
  11. Audit data on a regular basis to ensure data integrity and quality.
  12. Assist with ongoing data architecture processes and governance.
  13. Research and collect data to assist with product development and analysis.
  14. Perform data reconciliations to identify data anomalies.
  15. Perform data quantitative and qualitative analysis.
    1. Previous experience in Business / Systems Analysis
    2. Proven experience in eliciting requirements
    3. Experience in analyzing data to draw business-relevant conclusions
    4. Experience in building strategic, impactful, business-driven insights from data (examples of case studies preferred)
    5. Life science technology experience preferred
    6. University Degree