We are looking for an individual who is passionate about delivering performance improvement. You will have ownership of groups of customer journeys with responsibility for aligning to the product strategy, understanding the metrics, and tracking benefits. You will be responsible for the maintenance, communication, and delivery of optimization and change.

Statistical Analysis: A strong foundation in statistics is vital for analyzing data related to processes. This includes understanding concepts like probability, regression analysis, hypothesis testing, and statistical process control (SPC). Statistical tools and techniques help in identifying patterns, trends, and variations in processes.
Six Sigma Methodology: Six Sigma is a set of techniques and tools for process improvement. A Process Improvement Analyst should be familiar with Six Sigma principles, methodologies, and tools such as DMAIC (Define, Measure, Analyse, Improve, Control) to systematically improve processes.
Lean Principles: Understanding Lean methodologies is crucial for eliminating waste and improving efficiency. Knowledge of Lean tools such as value stream mapping, 5S, and Kanban can help streamline processes.
Root Cause Analysis: The ability to identify and address the root causes of problems is essential for process improvement. Techniques like Ishikawa diagrams (Fishbone diagrams), 5 Whys, and failure mode and effects analysis (FMEA) can be valuable.
Data Analysis and Modelling: Proficiency in data analysis tools and techniques, including the use of software like Excel, statistical software (e.g., R or Python with libraries like Pandas), and data visualization tools, is crucial for interpreting and presenting data related to processes.
Process Mapping and Documentation: The capability to create process maps and document workflows helps in visualizing and understanding the current state of processes. Tools like flowcharts and swim lane diagrams are commonly used for this purpose.
Mathematical Modelling: Depending on the complexity of the processes, mathematical modelling skills may be beneficial. This includes mathematical optimization techniques and simulation modelling to predict and optimize process performance.
Engineering Principles: Understanding engineering principles is essential for comprehending the technical aspects of processes. This may include knowledge of systems engineering, operations research, and industrial engineering.
Quality Management: Familiarity with quality management systems and standards, such as ISO 9001, is important for ensuring that processes meet established quality criteria.
Communication Skills: Effectively communicating findings and recommendations is crucial. The ability to translate technical information into clear and actionable insights for different stakeholders is a valuable skill.

Fluent in English

Experience in Operations ( e.g BPO Industry)

Experience in Performance Improvement and/ or Analytics

Strategic and Analytical Thinking

Graduate Level Proficiency in Mathematics

P 60,000- P80,000

13th Month

21 days paid leave

Parcel2go remote jobs

Performance Improvement Analyst