Predictive Analytics Manager
Manila, National Capital Region
Posted 3 days ago
- Company:
- Neksjob Corporation
- Company Description:
- Neksjob Philippines is an outsourcing and social enterprise that provides quality services to our clients locally and abroad. We are driven by the innate desire to bring about change by encouraging out of the box solutions to well-worn path challenges at a cost-effective rate. We aim to bridge the gap between countries and cultures, distance and time zones, to bring the world closer through the help of emerging technology.
- Contract Type:
- Full Time
- Experience Required:
- 5 to 10 years
- Education Level:
- Bachelor’s Degree
- Number of vacancies:
- 30
Job Description
Key Responsibilities
Team Leadership & Management
Lead, mentor, and manage a team of data scientists, analysts, and modelers.
Foster a collaborative and results-driven culture.
Predictive Modeling
Develop, implement, and optimize predictive models to analyze trends, behaviors, and outcomes.
Apply techniques such as machine learning, statistical analysis, and time-series forecasting.
Data Strategy & Insights
Identify key business challenges and translate them into analytical problems.
Provide data-driven recommendations to support strategic decision-making.
Stakeholder Collaboration
Work closely with marketing, finance, and operations teams to tailor analytics solutions to their needs.
Communicate findings in a clear and actionable way.
Data Quality & Integrity
Ensure the accuracy, completeness, and consistency of data used for predictive modeling.
Implement best practices for data governance.
Technology & Tools
Stay updated on industry trends, best practices, and emerging technologies in predictive analytics.
Utilize cutting-edge tools and platforms to enhance analytics capabilities.
Reporting & Visualization
Translate complex data into clear, actionable insights through reports and dashboards.
Use visualization tools like Tableau, Power BI, or similar platforms.
Continuous Improvement
Continuously evaluate and improve predictive models to adapt to changing business needs.
Key Qualifications
Education
Bachelor’s or Master’s degree in Data Science, Computer Science, Statistics, Mathematics, Economics, or a related field (PhD is a plus).
Experience
Minimum of five years of experience in predictive analytics, data science, or related fields.
At least two years in a leadership or management role.
Hands-on experience in building and deploying predictive models using machine learning, regression analysis, and time-series forecasting.
Technical Skills
Strong proficiency in Python, R, or SQL.
Experience with SAS, SPSS, or similar analytics tools.
Familiarity with data visualization tools (Tableau, Power BI).
Experience with big data platforms (Hadoop, Spark) and cloud technologies (AWS, Azure) is a plus.
Preferred Qualifications
Experience in finance, healthcare, e-commerce, or telecommunications.
Certification in data science, machine learning, or cloud platforms (e.g., Google Cloud Professional Data Engineer).
Knowledge of deep learning, NLP, or advanced ML models.
Strong project management skills to handle multiple initiatives.
- Salary:
- ₱120,000.00 Monthly