Qualfon Data Services Group, LLC

ANALYST, BUSINESS INTELLIGENCE DATA

ID 2025-46633
Category
Information Technology
Location : Address
1F, 5-7F, 9-12F, & 14-15F Skyrise Building. 3, IT Park, Apas, Cebu City, (Capital), Cebu
Posting Location : City
Cebu
Posting Location : Country
PH
Location : Postal Code
6000
Position Type
Full-Time
Remote
No

Overview

Job Title: Analyst, Business Intelligence Data

 

Responsibilities

 

• Mine and analyze structured and unstructured data from company databases to drive optimization and improvement of products and services.

• Use predictive modeling to increase and optimize customer experiences, revenue generation, targeting and other business outcomes.

• Develop processes and tools to monitor and analyze model performance and data accuracy.

• Presenting results in a clear manner.

• Collaborate with cross-functional business and technical teams.

 

 

Qualifications

REQUIREMENTS

BASIC KNOWLEDGE

  • Excellent computer skills
  • Proficient in Microsoft Office (particularly Excel, Word, Outlook, Power Point)
  • Language: English (Verbal & Written)
  • Time management skills and ability to handle multiple priorities and deadlines simultaneously and effectively.

 

WORK EXPERIENCE

  • 1 year experience using statistical computer languages such as Python and SQL to manipulate data and draw insights from large data sets.
  • Proven Experience as Data Analyst or Data Scientist

 

EDUCATION

Bachelor’s Degree or Higher in discipline related to Math/Technology/Engineering/Science a plus

 

TRAINING

  • General knowledge of Telecom business various products and brands.
  • Experience in collaboration tools such as Jira or Confluence is a plus.

 

CORE COMPETENCIES

  • Excellent listening, written and Verbal communication skills.
  • Well-developed problem-solving and critical thinking skills
  • Aptitude for problem solving, both individually and in collaboration with teammates
  • Ability to work independently, expedite tasks and deadlines.

 

SPECIFIC COMPETENCIES

  • Experience querying databases and using statistical computer languages: R, Python, SQL, etc.
  • Machine learning algorithms and statistics: regression, time-series forecasting, clustering, decision trees, neural networks, Natural Language Processing.
  • Experienced with data visualization tools and techniques such as plotly, Tableau, Power-BI, Streamlit
  • Familiar with cloud technologies (AWS preferred): Amazon Sagemaker, S3, Redshift, Lambda, etc.
  • Familiar with GitHub or equivalent code repositories.

 

BEHAVIORAL COMPETENCIES

· Positive attitude

· Proactive

· Active Listener

· Organized

· Impartial

· Committed

· Inquisitive

· Reliable

· Integrity

· Flexible

· High professional standards

· Empathy

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