Senior Business Intelligence Specialist/Assistant Manager

7 days ago


Singapore VTech Market Global Sdn Bhd Full time

Overview:
We are seeking a
Senior Business Intelligence
professional with expertise in
Predictive Modelling
to join our team. This role requires both strong business acumen and technical skills to help shape strategic insights that drive our organization’s growth and competitive advantage. Incumbent will work closely with cross-functional teams to collect, analyze, and interpret large datasets, leveraging predictive modelling to guide data-driven decisions. This position combines a deep understanding of Business Intelligence and Analytics with the
ability to build and implement predictive models
that address key business questions.
Job Description:
Predictive Modeling : Develop and apply predictive models to anticipate trends, customer behavior, and other strategic insights, using statistical and machine learning techniques.
Data Analysis : Analyze structured and unstructured data from various sources to uncover patterns, trends, and insights that inform business strategies.
Business Intelligence : Build, maintain, and improve business intelligence dashboards and reports that allow stakeholders to access critical data and monitor key performance indicators (KPIs).
Cross-Functional Collaboration : Partner with teams across the organization, including marketing, finance, and product, to translate data findings into actionable recommendations.
Data Management : Ensure the integrity, accuracy, and security of data throughout the data lifecycle, and maintain thorough documentation of methodologies and processes.
Forecasting : Create and support forecasting models to inform business planning and identify opportunities for optimization.
Insights Communication : Present complex data and predictive insights in clear, concise formats suitable for executive and non-technical stakeholders.
Process Improvement : Identify opportunities to streamline and enhance data collection, analysis, and reporting processes.
Automation : Develop and implement scripts or automated processes to improve the efficiency of data workflows, reporting, and model deployment.
Requirements:
A Bachelor’s degree in Data Science/Statistics/Mathematics/Computer Science or related field.
Proficiency in building
Predictive Models
using techniques such as linear regression, logistic regression, decision trees, random forests, clustering, and neural networks is highly preferred.
Strong proficiency in
Python
or
R
for
data analysis and modeling; SQL
for querying databases ;
experience with
Business Intelligence tools
(e.g.,
Power BI, Tableau ).
Advanced knowledge of
statistical analysis ,
probability , and
data mining .
Understanding of machine learning algorithms and model evaluation techniques, with hands-on experience in model training and tuning.
Ability to approach complex problems with a strategic, data-driven mindset, identifying trends and insights that drive business outcomes.
Preferred skills to have:
Experience in cloud-based data platforms (e.g., AWS, databrick) and big data tools (e.g., Spark, Hadoop).
Knowledge of ETL processes and data warehousing.
Familiarity with advanced machine learning frameworks such as TensorFlow, Scikit-Learn, or Keras.
Industry-specific experience in
Finance/Fintech
or
Marketing
is preferable.
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