Analytics Advisory Senior Analyst

Siegen HR Solutions; Metro Manila; On-site; PHP 700,000 - 900,000; Full time

Job summary

A leading analytics service provider in Manila seeks an Analytics Advisory Senior Analyst. The role involves delivering client value through analytics, requiring a Bachelor's degree in relevant fields and at least 2 years of experience in Analytics or Data Science, particularly in the BPO industry. Skills in Microsoft Excel, statistical modeling, and data visualization are essential, alongside strong client and project management capabilities. Proficient communication in English is also a must.

Qualifications

• At least 2 years of Analytics/Data Science experience with a background in BPO.
• Familiarity with statistical and analytical tools such as R, Python, SAS.
• Proficient communication skills in English.
• Excellent Client Management and Project Management are required.
• Presentation Skills and Executive Presence are preferred.
• Proficient in Microsoft Excel and PowerPoint; data cleansing/analysis; data visualization.

Responsibilities

• Deliver client value through analytics using statistical techniques.
• Report to the Operations Analytics as a Service Delivery Lead.
• Work in a global collaborative team environment.

Skills

Client Management

Project Management

Data Cleansing and Analysis

Data Visualization

Statistical Modeling

Python

R

Excel

PowerPoint

Communication

Project Management

Education

Bachelor's degree in Statistics, Mathematics, Computer Science/Engineering, Physics, Engineering

Tools

Microsoft Excel

Microsoft PowerPoint

Tableau

R

Python

SQL

Job description

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