Associate Director for Data Analytics and Insights

Angkas; Philippines; On-site; PHP 1,200,000 - 2,000,000; Full time

Benefits offered by this job

Freedom of work

Work-life balance

Free meals and use of gym

Opportunities for promotion

Competitive salary

Pay raise

Start-up environment

Multi-cultural and Agile work environment

Diversified use of technology

Job summary

Angkas in the Philippines is seeking a Chief Data Officer to lead the data science team and develop a comprehensive data strategy aligned with business objectives. The ideal candidate will have at least 5 years of experience in data science and proven leadership skills. Responsibilities include driving data-driven solutions for operational efficiency and fostering a data-driven culture. Additionally, a range of benefits such as work-life balance and a competitive salary is offered.

Qualifications

• Proven track record as a Chief Data Officer or in a similar leadership role.
• 5+ years of experience in data science, machine learning, or a related field.
• Deep understanding of data management, data governance, data analytics, and data engineering.

Responsibilities

• Lead the data science team in the development and implementation of data-driven strategies.
• Develop and execute a comprehensive data strategy aligned with the organization's objectives.
• Identify opportunities to leverage data to improve operational efficiency.

Skills

Cross-Functional Collaboration

Data Engineering

Data Visualization

Business Insight Generation

Data Processing

Data Analysis

Strategic Thinking

Business Knowledge

Education

Advanced degree in computer science, engineering, statistics, or a related field

Tools

Data warehousing

Data mining

Machine learning

Big data technologies

Job description

Responsibilities

• Lead the data science team in the development and implementation of data-driven strategies to improve the company's business performance
• Develop and execute a comprehensive data strategy aligned with the organization's overall business objectives
• Identify opportunities to leverage data to improve operational efficiency, enhance customer experiences, and drive innovation
• Foster a data-driven culture by providing insights and recommendations to key stakeholders
• Collaborate with business units to identify data-driven solutions to complex problems
• Stay up-to-date on the latest trends in data science and machine learning
• Build and maintain relationships with key stakeholders
• Adhere to company policy and procedures
• Achieve or exceed targets and other key objectives assigned by your Immediate Supervisor
• Participate in ongoing training and development programs
• Accept other associated responsibilities and projects as the need arises

Competencies for the Job

• Cross-Functional Collaboration
• Data Engineering
• Data Visualization
• Business Insight Generation
• Data Processing
• Data Analysis
• Strategic Thinking
• Business Knowledge

Requirements

• Advanced degree in computer science, engineering, statistics, or a related field
• Proven track record as a Chief Data Officer or in a similar leadership role
• 5+ years of experience in data science, machine learning, or a related field
• Deep understanding of data management, data governance, data analytics, and data engineering
• Strong technical skills, including knowledge of data warehousing, data mining, machine learning, and big data technologies
• Excellent communication and interpersonal skills to effectively collaborate with diverse stakeholders
• Strong leadership and organizational skills to build and lead high-performing teams
• Ability to translate complex technical concepts into actionable business insights
• Strong communication and presentation skills
• Strong analytical and problem-solving skills
• Ability to work independently and as part of a team

Benefits

• Freedom of work
• Work-life balance
• Free meals and use of gym
• Opportunities for promotion
• Competitive salary
• Pay raise
• Start-up environment
• Multi-cultural and Agile work environment
• Diversified use of technology