Analytics Advisory Senior AnalystSiegen Solutions
Salary: Agreement
Work form: Full time
Posting Date: 10/11/2025
Deadline: 15/10/2020
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About the job Analytics Advisory Senior Analyst
Overall Purpose:
This is a non-executive position in Analytics as a Service in Manila SDO. This person will report to the Operations Analytics as a Service Delivery Lead and to the Manila SDO Lead.
Responsibilities:
This resource will generally be responsible for delivering client value through analytics with the use of statistical techniques.
Skills and Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science/Engineering, Physics, Engineering, or related scientific disciplines
At least 2 years' worth of Analytics/Data Science experience with a background in BPO
Domain expertise in either Network, Health, Consumer, Utilities or F&A is preferred
Excellent Client Management and Project Management are required
Presentation Skills and Executive Presence are preferred
Knowledge of Microsoft Excel and PowerPoint, Data Cleansing and Analysis, Data Visualization (ex. Tableau)
Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments
Proficient in statistical and other tools/ languages - e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala
Familiarity with relational databases and intermediate knowledge of SQL
Proven background in at least one of the following: Reliability models, Markov Models, Stochastic Models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric methods, Multivariate statistics
Aptitude to learn, think creativity to solve real world business problems, and work in a global collaborative team environment
Proficient verbal and written communication skills in English
Siegen Solutions
Overall Purpose:
This is a non-executive position in Analytics as a Service in Manila SDO. This person will report to the Operations Analytics as a Service Delivery Lead and to the Manila SDO Lead.
Responsibilities:
This resource will generally be responsible for delivering client value through analytics with the use of statistical techniques.
Skills and Qualifications:
Bachelor's degree in Statistics, Mathematics, Computer Science/Engineering, Physics, Engineering, or related scientific disciplines
At least 2 years' worth of Analytics/Data Science experience with a background in BPO
Domain expertise in either Network, Health, Consumer, Utilities or F&A is preferred
Excellent Client Management and Project Management are required
Presentation Skills and Executive Presence are preferred
Knowledge of Microsoft Excel and PowerPoint, Data Cleansing and Analysis, Data Visualization (ex. Tableau)
Experience in statistical modeling, machine learning, data mining, unstructured data analytics in corporate and/or academic research environments
Proficient in statistical and other tools/ languages - e.g. R, S-plus, SAS, STATA, Python, C, C++, Java, Scala
Familiarity with relational databases and intermediate knowledge of SQL
Proven background in at least one of the following: Reliability models, Markov Models, Stochastic Models, Bayesian Modelling, Classification Models, Cluster Analysis, Neural Network, Non-parametric methods, Multivariate statistics
Aptitude to learn, think creativity to solve real world business problems, and work in a global collaborative team environment
Proficient verbal and written communication skills in English
Siegen Solutions
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