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Jobs or company...

Analyst Group Business Analytics

Salary undisclosed

Apply on

Indeed MY

Availability Status

This job is expected to be in high demand and may close soon. We’ll remove this job ad once it's closed.

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Simplified
Location: Kuala Lumpur, MY, MY
Global Business Unit: OTH
Job Function: Corporate Development
Requisition Number: 170944
Description:

Job Overview
We are looking for a motivated and detail-oriented Analyst to join the Group Business Analytics team. This role is ideal for individuals with a passion for data science and analytics, who are eager to apply their technical skills to solve complex business challenges. As an Analyst, you will work collaboratively with senior team members to deliver actionable insights, develop predictive models, and support data-driven decision-making across the organization.


Key Responsibilities
  • Analyze large datasets from multiple sources to identify trends, patterns, and actionable insights.
  • Support machine learning projects by preparing data, performing feature engineering, and contributing to model development and evaluation.
  • Collaborate with cross-functional teams (e.g., Marketing, Finance, Operations) to identify business problems and propose analytics-driven solutions.
  • Assist in developing and deploying predictive models for business forecasting, customer segmentation, and other use cases.
  • Build and maintain interactive dashboards, reports, and visualizations to track key performance indicators (KPIs).
  • Ensure the accuracy and integrity of data by cleaning, validating, and preprocessing datasets.
  • Leverage Azure Cloud Services, such as Azure Machine Learning, Databricks, and Azure Data Factory, to manage, analyze, and model data.
  • Contribute to Generative AI initiatives, exploring its applications for business use cases such as content creation, personalization, and advanced problem-solving.
  • Conduct ad-hoc analyses and experiments (e.g., A/B testing) to support business objectives.
  • Stay updated with the latest tools and techniques in data science, analytics, cloud computing, and artificial intelligence.
  • Document methodologies, findings, and recommendations for technical and non-technical stakeholders.

Key Attributes
  • Eagerness to learn and grow in the field of data science, analytics, and AI.
  • A detail-oriented mindset with a commitment to delivering high-quality work.
  • Strong problem-solving skills and the ability to think critically about complex problems.
  • Flexibility and adaptability to work in a fast-paced, collaborative environment.


Qualifications
  • Bachelor’s degree in Data science, Statistics, Economics, Computer Science, or a related field.
  • 1+ year of working experience in a data science or analytics role.
  • Hands-on experience with machine learning algorithms and frameworks such as scikit-learn, TensorFlow, or PyTorch.
  • Strong proficiency in Python and familiarity with SQL.
  • Practical experience with Azure Cloud Services, including Azure Machine Learning, Databricks, and Azure Data Factory.
  • Analytical mindset with experience in working with large datasets and drawing meaningful insights.
  • Knowledge of data visualization tools such as Power BI or Tableau.
  • Familiarity with Generative AI technologies, such as transformer-based models (e.g., GPT, BERT) and their applications in solving business problems.
  • Basic understanding of statistical concepts and experience with data modeling.
  • Exposure to domains like natural language processing (NLP), time-series forecasting, or similar fields is a plus.
  • Strong communication and collaboration skills to work with both technical and business stakeholders.
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