Business Analyst

Bravissimo Resourcing Inc.; Pasig; On-site; PHP 334,800 - 558,000; Full time

Benefits offered by this job

Performance Bonuses

Health Insurance

Job Training

Government Mandated Benefits

Job summary

Bravissimo Resourcing Inc. is seeking a Data Analyst based in Pasig. This on-site position requires a bachelor's degree and at least 2 years of relevant experience. The candidate will analyze call data, create reports, and optimize workflows to enhance operational efficiency.

Key responsibilities include utilizing statistical techniques, supporting cross-departmental collaboration, and implementing data-driven solutions. Proficiency in tools like Tableau, Power BI, and programming languages such as R and Python is essential.

Qualifications

• 2 years of working experience in a related field is preferred.
• Experience with data analytics platforms and reporting.
• In-depth knowledge of statistical analysis and machine learning.

Responsibilities

• Analyze call data and customer feedback to identify trends.
• Create and maintain reports and dashboards for visualization.
• Optimize call center workflows for efficiency.
• Develop data-driven strategies to improve operations.
• Collaborate with IT and call center teams for requirements gathering.

Skills

Data analysis

Data visualization

Statistical techniques

Machine learning techniques

Communication skills

Education

Bachelor’s degree or higher in any field

Tools

Tableau

Power BI

R

Python

SQL

Job description

On-site - Pasig 1-3 Yrs Exp Bachelor Full-time

Job Description

Employee Recognition and Rewards

Performance Bonus, Incentives

Government Mandated Benefits

13th Month Pay, Pag-Ibig Fund, Paid Holidays

Insurance Health & Wellness

Health Insurance, Life Insurance, HMO

Professional Development

Job Training

• Candidate must possess at least a Diploma, Advanced/Higher/Graduate Diploma, bachelor’s degree, Post Graduate Diploma, Professional Degree, master’s degree in any fields.
• Preferable with 2 years of working experience in the related field is required for this position.
• Experience in extracting, transforming and porting data from source systems to data analytics platform(s) and reports using Tableau, Dynamics 365, etc.
• Experience in analyzing different types of data to support business needs and present the results in concise visualization formats using Power BI, Looker Studio, and other dashboarding tools.
• Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests, and proper usage, etc.) and experience with applications.
• Experience working with and creating data architectures.
• Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks.
• Experience in using statistical computer languages (R, Python, SQL, etc.) to manipulate data and draw insights from large data sets.
• Has an inquisitive mind and proactivity to challenge the norms constructively.
• Must have initiative, drive and work independently with minimum supervision and a good team player.
• Excellent verbal and written communication skills in English and the language of supporting market (at least C1).

CORE RESPONSIBILITIES

Data analysis and reporting

• Track and analyze call data, customer feedback, and agent performance to identify trends, issues, and opportunities for improvement.
• Create and maintain regular reports and dashboards to visualize findings.

Process optimization

• Evaluate current call center workflows and business processes to find areas for increased efficiency and productivity.
• Develop and implement data-driven solutions and new strategies.

Forecasting and scheduling

• Create workload forecasts and analyze data to ensure adequate staffing levels to meet service level targets.

Cross-functional collaboration

• Work with different departments and stakeholders, including IT, management, and call center teams, to gather requirements and communicate analysis results.

Technology and solutions

• Stay current on new call center technologies to recommend and help implement solutions that can automate, modernize, and improve operations.

Problem-solving

• Conduct ad-hoc analyses and provide recommendations to solve specific operational problems.