Executive, Advance 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.

#J-18808-Ljbffr