In this role, you will be responsible for the sales of products, systems, and services within the ABB Gas Analyzer portfolio, in line with the sales strategy. Each day, you will work toward meeting both qualitative and quantitative sales targets to ensure sustainable order growth and increased market share. This will include focused sales actions, channel management, and key account management for end users.
You will also demonstrate your sales skills by identifying and developing new sales opportunities in the Malaysian market.
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Automate recurring reporting processes to improve efficiency, reduce manual effort, and accelerate turnaround time for daily and weekly reports
Perform data quality checks, document reporting logic, and support UAT activities to ensure accuracy and consistency of reporting outputs
Analyze contact centre datasets (e.g. call volume, response time, resolution rates) using tools such as Excel, Power BI or other tools to identify trends, uncover insights, and recommend improvements
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Allocation Optimization Design optimization models for inventory allocation across stores Balance constraints such as stock availability, demand, and capacity
Dashboarding and Analytics Create and maintain impactful analytics that drive business decisions across various platforms (e.g., dashboards)
Data & Collaboration Work with data stakeholders to ensure reliable data pipelines and translate business requirements into analytical solutions
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Assist DOS Portfolio in maximizing user adoption, solution utilization and system/solution availability with minimal interruption.
Remain current on new technologies and participate in testing and acceptance of digital technology workflows and features.
Collect and manage end-user requirements for software and services, identify main features required for drilling performance analysis and reporting, workflow description, usability recommendations; acquire consultation from drilling domain perspectives.
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Assemble large, complex data sets (Extract, transform and load) that meet functional / non-functional business requirements
Implement the infrastructure required for optimal extraction, transformation, and loading of data from a wide variety of data sources using SQL and AWS technologies
• You have finished a Master’s degree in a Quantitative field (Computer Science, Mathematics, Engineering, Business analytics, Artificial intelligence etc.).
• 5+ years experience in data science• You take responsibility for your work and are continuously looking for new opportunities to make a change.
• You embrace the process of trial and error and learn from both successes and failures. Like us, you are always seeking to improve and innovate.
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Hands‑On Experience in the Oil & Gas Industry Gain real exposure to the oil & gas sector by working on meaningful projects, engaging with professionals, and understanding industry‑level operations ,not just theory.
Practical Learning with Real Business Impact Apply your academic knowledge in a professional environment, work closely with operational stakeholders, and build skills that will strengthen your future career.
Inspection of critical industrial assets to ensure reliable operations of the highest standards and effectiveness
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Analyse user behaviour across onboarding, activation, repeat purchase, and long-term retention stages, evaluate triggers that influence habit formation and repeat purchase behaviour.
Translate insights into recommendations for lifecycle improvements (activation nudges, habit loops, repeat triggers).
Evaluate user sensitivity to promotions, points, loyalty rewards, and price changes by market.
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Event Optimization: Direct the BD team during live pop-ups, fairs, and events to implement high-converting, gamified retail tactics.
Data-Driven Iteration: Constantly run experiments on user acquisition costs (CAC) and customer lifetime value (LTV) to build frictionless paths to purchase.
Weaponize Data: Use internal AI community data to identify pipeline bottlenecks and validate new sales initiatives.
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Identify the critical cost area and propose cost improvement to business units.
Evaluating previous budgets and expenditures to develop and implement future budgets.
Liaise with business units to provide insights into performance and efficiency to facilitate achievement of departmental Key Performance Indicators (KPI).
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Identify the critical cost area and propose cost improvement to business units.
Evaluating previous budgets and expenditures to develop and implement future budgets.
Liaise with business units to provide insights into performance and efficiency to facilitate achievement of departmental Key Performance Indicators (KPI).
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Own the technical reliability of CRM/CDP integrations and data synchronization, ensuring APIs, event feeds, identity mapping, and audience/conversion syncs between platforms.
Uphold data governance and consent requirements for targeting and tracking, including opt-out handling, suppression rules, and safe handling of customer identifiers in line with agreed standards.
Establish QA and monitoring routines for launches and ongoing operations, troubleshoot tracking/automation/data issues efficiently, and coordinate resolution with Engineering, BI/Data, and vendors.
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