Executive, Data Analytics (Contract)

MISC Group WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Executive, Data Analytics (Contract)

MISC Group WP. Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

NOTE : This is a contract position.

Overview

Location : Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Responsibilities

• Data Solutions Management & Implementation
• 1. Requirement Gathering & Planning
• Requirement Gathering : Capture, consolidate, and document data solution requirements from various business units.
• Business Case Assessment : Assess and document the benefits of data solutions (e.g., value, complexity, technology, effort, external vendor) to ensure business needs are met while optimizing resources.
• 2. Design & Development
• Data Mining & Transformation : Perform data mining on various data attributes and transform them into actionable insights and recommendations using tools like Databricks, and SQL.
• ETL Processes : Develop and maintain ETL (Extract, Transform, Load) processes to ensure data is accurately and efficiently moved between systems.
• 3. Implementation
• Data Visualization : Develop seamless UX data visualizations to communicate analytic results, including data maps, to business and functional leaders using tools like Power BI or Python.
• Ad-Hoc Data Analysis : Conduct data analysis on a case-by-case basis according to ad-hoc management requirements using Excel, SQL, Python, and Microsoft Fabric.
• Power Platform Integration : Utilize Power Apps and Power Automate to streamline workflows and automate processes.
• Data Integration : Integrate data from various sources, including APIs and third-party systems, to ensure comprehensive data availability.
• 4. Maintenance & Support
• Solution Maintenance & Support : Maintain in-house developed data engineering solutions to enable continuous enhancements.
• Data Quality & Governance : Ensure data quality and governance standards are met, including data cleansing and validation processes.
• Documentation : Maintain thorough documentation of data engineering processes, models, and solutions.
• Use Case Generation
• Identify Use Cases : Discover and document data solution use cases for prototypes, demos, and awareness sessions.
• Inventory Management : Maintain and update a repository of data solution use cases to scale across departments.
• MVP Development : Create Minimum Viable Products (MVPs) for selected use cases to assess feasibility and potential value.
• Support & Recommendations : Assist in providing recommendations and advice on suitable data science solutions.

Requirements & Qualifications

Educational Background

Technical Skills

Additional Qualifications

Note : This is a contract position.

Seniority level

Employment type

Job function

Industries

Disclaimer : This refined description removes non-essential postings and extraneous content while preserving responsibilities, qualifications, and job context.

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