Associate Director for Data Analytics and Insights
Angkas
Makati
On-site
PHP 1,339,200 - 2,008,800
Full time
14 days+
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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 is seeking a Chief Data Officer to lead the data science team in developing comprehensive data strategies to enhance business performance. The ideal candidate will have an advanced degree and over 5 years of experience in data science or machine learning. Key responsibilities include fostering a data-driven culture and collaborating with diverse stakeholders. The role offers a competitive salary, work-life balance, and a dynamic, start-up environment.
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.
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.
Responsibilities
Lead the data science team in developing data-driven strategies.
Develop and execute a comprehensive data strategy.
Identify opportunities to leverage data for operational efficiency.
Foster a data-driven culture by providing insights.
Collaborate with business units to identify data-driven solutions.
Stay updated on the latest trends in data science and machine learning.
Build and maintain relationships with key stakeholders.
Adhere to company policies and achieve targets.
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
Qualifications
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.