Total 10 Senior Executive job vacancies

• Position: Sales Administration Support Executive.
• Salary: RM 2800-4000.
• Location: Bandar Bukit Jalil, WPKL.

About the hiring company

This company, a subsidiary of a Public Listed Company, is a forward looking organization specializing in car/vehicle rental and business support services. They are the leading motor vehicle rental company since 1985,operating through 5 branches throughout Malaysia with more than 400 vehicles/trucks.

About the role/job

The role is primarily office based where the incumbent will be responsible for providing administrative support role to the overall business operations and sales activities. The role is challenging as you will handle a variety of responsibilities ranging from generating documents to attending to customers requests. The job would suite a matured outgoing person who enjoys a highly diverse work environment, can easily handle a wide range of customers and suppliers.

Job Requirements: candidate profile

The successful candidate should fulfill the following criteria/requirements:

-Malaysian female; matured; recent enthusiastic retirees will be duly considered.

-Possess minimum a Diploma qualification in business related discipline or any other disciplines.

-Strong verbal and written communication skills; must be proficient in English,BM and Mandarin; Mandarin speaking ability is necessary to interact/liaise with China business clients in Malaysia.

-Intermediate computer skills, including Microsoft Office and internet applications.

-Have flexible approach to work and be able to work well on own initiative.

This permanent position offers an excellent remuneration salary package depending on ones' attributes and experience. Recently retirees who are willing and fit to take on this role will be duly considered. However, all applicants must forward a comprehensive CV in Word format.

APPLICATION TO THIS JOB

Interested candidates are hereby invited to apply by forwarding a copy of your resume for our review. You may apply online via JOBSTORE by clicking the apply button to submit your application. Alternatively, candidates may forward their resume directly to us at CHRISJAC via our E-mail at [email protected] 

Perks & Benefits

• Casual dress code
• Personal leave
• Open culture

• 職位：銷售行政支援主管。
• 薪資：2800-4000 馬幣。
• 地點：武吉加里爾鎮，WPKL。

關於招募公司

這家公司是上市公司的子公司，是一家具有前瞻性的企業，專門從事汽車/車輛租賃和商務支援服務。自1985年以來，他們一直是領先的汽車租賃公司，在馬來西亞設有5家分公司，擁有400多輛汽車/卡車。

關於職位/工作

該職位主要為辦公室工作，任職者將負責為公司整體營運和銷售活動提供行政支援。這份工作頗具挑戰性，您將承擔各種職責，包括產生文件和處理客戶請求等。此職位適合成熟外向、喜歡多元化工作環境、能夠輕鬆應付各類客戶和供應商的人士。

職位要求：候選人簡介

成功的候選人應符合以下條件/要求：

-馬來西亞女性；成熟穩重；近期熱情退休人士亦可考慮。

- 至少擁有商業相關專業或其他專業的文憑資格。

- 具備強大的口頭和書面溝通能力；必須精通英語、馬來語和普通話；普通話口語能力對於與在馬來西亞的中國商業客戶進行互動/聯絡至關重要。

-具備中級電腦技能，包括微軟辦公室軟體和網路應用。

-工作態度靈活，能夠獨立自主地完成工作。

此職位為長期職位，提供優厚的薪資待遇，具體金額視個人能力和經驗而定。近期退休且身體狀況適合該職位的人士將優先考慮。所有申請者均須提交一份完整的Word格式履歷。

申請這份工作

有意者請將履歷寄至我司審核。您可透過JOBSTORE線上申請，點選「申請」按鈕提交申請。您也可以將履歷直接寄至我司信箱[email protected]。

福利待遇

• 休閒著裝要求
• 個人休假
• 開放文化

As a Senior Finance Data Analyst, you will leverage your expertise to directly impact the strategy, growth, and financial operations of our 16 markets by delivering actionable insights and advanced analytics and reporting solutions. In this role, you’ll work as a critical thought partner with senior Finance and FinTech leaders to influence strategy, mentor junior analysts, and leverage AI to build the future of finance analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Financial Reporting and Analytics: Design robust internal and external reporting and measurement solutions for financial operations and FinTech initiatives ranging from projecting and/or evaluating the impact of campaigns to measuring the value of key FinTech partnerships.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key financial operations; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Stakeholder Engagement & Influence: Collaborate closely with senior finance partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how finance analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst and financial workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

• Providing customer support and technical issue resolution via email, phone, chat, social media and other online platforms.

• To be able to handle multiple concurrent chat and email interactions while addressing frequent start and stops from incoming phone calls, emails, social media interactions and other online platforms.

• Identifying correcting and advising on technical issues in the customer’s computer, mobile app and/or video game console.

• Identifying trends in customer problems and provide clear feedback/inputs to the team members based on independent testing.

• Proficient in both verbal and written communication skills in Indonesian and English.

• Ability to communicate Indonesian and English via email/chat/phone (required to liaise with Indonesian-speaking customers).

• Ability to deliver excellent customer service quality utilizing soft skills.

• Able to understand games from a gamer’s perspective and give in-depth gaming and smartphone/apps/PC/console troubleshooting support.

• Ability to solve and analyze information accurately with appropriate speed and guidelines.

• Team player.

• Those with strong interest in games are preferred.

Job Description

You will join SEEK as a Senior Business Analyst in the AI and Platform Services (AIPS) Delivery and Operations function, reporting to the Program Manager and working with AI Product Managers, Engineers and Data Scientists — including the Pricing and Performance team — to deliver high-value AI products using cutting-edge technology.

You will lead complex business analysis across AI product initiatives, from requirements and process design through to agile delivery, risk management and change adoption, ensuring new AI-driven systems and processes deliver measurable business outcomes that support SEEK's purpose of helping people live more fulfilling and productive working lives.

Key Responsibilities

• Engage stakeholders to define AI product initiative scope, objectives and deliverables, and gather and validate requirements and feedback across the lifecycle.
• Lead the collection and documentation of complex business requirements, user stories, use cases and acceptance criteria for AI product initiatives.
• Analyse, prioritise and trace requirements, clarifying scope, dependencies and business value to guide decision-making.
• Map and document current ("as-is") and future ("to-be") business processes to enable business transformation and AI-driven improvements.
• Support solution design and assess proposed solutions against stakeholder needs, ensuring they deliver measurable value and quality outcomes.
• Drive agile delivery by leading iteration planning, backlog refinement, reviews and retrospectives, monitoring progress and driving continuous improvement.
• Identify and manage technical, operational and market risks, support change management, and help embed new systems or processes with stakeholders.
• Facilitate workshops and cross-functional meetings, coach and mentor junior team members, and share best practices across BA and AIPS communities.
• Collaborate on test case development and support testing and defect resolution to ensure solutions meet agreed requirements and standards.
• Liaise with third-party vendors as needed, supporting SLA compliance and contributing to recruitment and onboarding activities in the team.

About GoTymeX

GoTymeX is the product, technology and data analytics hub of GoTyme Group. At GoTymeX, we're reimagining digital banking across emerging markets, across South Africa and Asia. Our mission is to unlock human potential, and we aim to do so through the development of transformative financial services that empower individuals and small businesses. We believe in the power of digital in building products that make a real difference in our customers' lives. Today, our products serve more than 22 million customers.

About the Credit Card Product

We are building a group-level credit card product — launching across the Philippines and South Africa — on a modern global stack. The analytical function at the heart of this programme has never existed before. We’re creating it now — and we’re looking for the person to build it from zero with us.

Where This Role Sits

You will report directly to the Director of Product, and work day-to-day alongside the Credit Card Product Owners, Engineers, Designers and Business Analysts. You will carry a dotted-line to the Head of Data & Analytics, giving you deep technical mentorship while remaining fully embedded in the product team. You will collaborate regularly with in-country data and credit risk analysts across the Philippines and South Africa.

Why Work with GoTymeX

• Innovation-driven environment: Work with the latest technologies including Serverless aspects of AWS Cloud, AI-augmented engineering, microservices, Java, and Python
• International and collaborative culture: Be part of a dynamic team that values collaboration, continuous learning, and personal growth
• Competitive benefits: Enjoy a comprehensive benefits package, opportunities for professional development (see below) • Learning and development: Access to technical seminars, conferences, career talks, and overseas training to accelerate your career advancement and ensure continuous growth
• Impactful work: Contribute to projects that directly influence financial empowerment and access in emerging markets

About This Role:

The Senior Product Insights Analyst is the analytical engine of this team, owning the narrative behind every product decision. This isn’t a reporting role. It’s a product intelligence function. You’ll build the analytical foundation for our credit card business, identify what’s working and what isn’t, and tell us — with confidence — what to do about it.

Key Responsibilities

Product & Business Performance

• Own end-to-end performance analytics: activation, engagement, spend, repayment, and retention across all markets
• Track and interpret key KPIs — NPS, activation rates, digital adoption, unit economics (interchange, fee revenue, loyalty costs, ECL contribution) — and translate findings into clear product and commercial storylines
• Monitor portfolio health: revolve rates, payment behaviour, limit utilisation, and cohort evolution — with forward-looking commentary, not just snapshots
• Identify performance inflection points early and generate root-cause hypotheses — don’t wait to be asked

Funnel, Onboarding & Product Development Lifecycle Support

• Analyse the full acquisition and onboarding funnel — from application through activation and first spend — and size improvement opportunities
• Embed in sprint ceremonies and product rituals; define measurement frameworks for new features before they go live
• Provide pre-launch data readiness checks and post-launch performance reads for every release
• Support A/B testing and experiment design to evaluate product and go to market initiatives Insight Generation & Strategic Recommendations
• Go beyond the numbers — synthesise analysis into conclusions, flag strategic implications, and propose concrete product or commercial actions
• Proactively surface insights the team didn’t know to ask for: behavioural patterns, market signals, competitive benchmarks • Support go to market strategy, value proposition testing, and loyalty/rewards design with databacked recommendations
• Partner with in-country analytics and credit risk teams to validate and localise findings across the Philippines and South Africa Dashboards, Tooling & AI Utilisation
• Build and maintain self-serve dashboards in Databricks and Mixpanel covering business performance, funnel health, portfolio trends, and unit economics
• You’ll use the best of modern AI tooling — Claude, Cursor, Databricks AI — to compress the time from question to answer. In our environment, fast insight beats slow perfection
• Contribute to analytics best practices, documentation, and data quality standards across the Credit Card programme

Insight Generation & Strategic Recommendations

• Go beyond the numbers — synthesise analysis into conclusions, flag strategic implications, and propose concrete product or commercial actions
• Proactively surface insights the team didn’t know to ask for: behavioural patterns, market signals, competitive benchmarks • Support go to market strategy, value proposition testing, and loyalty/rewards design with databacked recommendations
• Partner with in-country analytics and credit risk teams to validate and localise findings across the Philippines and South Africa Dashboards, Tooling & AI Utilisation
• Build and maintain self-serve dashboards in Databricks and Mixpanel covering business performance, funnel health, portfolio trends, and unit economics
• You’ll use the best of modern AI tooling — Claude, Cursor, Databricks AI — to compress the time from question to answer. In our environment, fast insight beats slow perfection
• Contribute to analytics best practices, documentation, and data quality standards across the Credit Card programme
  

Technical Skills

• SQL: expert-level — complex queries, window functions, optimisation at scale
• Python / PySpark: proficient for data manipulation, statistical analysis, and automation
• BI / Visualisation: Databricks and Mixpanel (primary); Tableau or similar also acceptable
• Statistics: hypothesis testing, cohort analysis, and experimental design
• AI-augmented analytics: demonstrated daily use of AI tools to accelerate insight generation and automate workflows — this is an expectation, not a nice-to-have

Domain Experience

• 5+ years in data/analytics; financial services, fintech, or banking required
• Lending domain strongly preferred — credit card, BNPL, or personal loans. Terms like revolve rate, vintage analysis, and ECL contribution should be second nature, not new vocabulary
• Exposure to credit risk concepts (vintage analysis, ECL, delinquency) is a meaningful advantage
• Experience with customer lifecycle analytics: acquisition, activation, engagement, retention, and churn

Core Competencies

• End-to-end ownership: raw data to recommendation — accountable for whether it’s right
• Insight, not just analysis: “here’s what the data shows, here’s what I think it means, here’s what I’d do” — every time
• Speed: good-enough-fast beats perfect-and-late in a high-velocity build environment
• Proactivity: you spot the question before it’s asked and flag the signal before it becomes a problem
• Data literacy leadership: you raise the analytical bar of everyone around you — not just your own output

Preferred Qualifications

• Bachelor’s or Master’s in Mathematics, Statistics, Economics, Computer Science, or related quantitative field
• Experience in a multi-market or multi-country product environment
• Familiarity with Visa/Mastercard reporting tools or card management system platforms
• Background in high-growth startup or digital bank environments

As a Senior Marketing Data Analyst, you will leverage your expertise to directly impact the marketing strategy and growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work as an embedded thought partner with senior marketing stakeholders to influence strategy and marketing tactics, mentor junior analysts, and leverage AI to build the future of marketing analytics. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Strategic Marketing Analysis: Design and execute robust analytical methodologies ranging from A/B tests/geo testing/holdouts to MMM modeling in order to measure incremental ROI and make actionable recommendations regarding marketing spend optimization and tactical execution of marketing initiatives
• Stakeholder Engagement & Influence: Collaborate closely with senior marketing partners to understand strategic objectives, recommend analytics solutions, negotiate priorities, and present insights effectively.
• Advanced Data Modeling & Measurement: Define measurement frameworks and metric definitions for key marketing initiatives; Lead the development of complex SQL models to implement as well as transform massive datasets into actionable insights using tools like BigQuery and dbt.
• Strategic Reporting & Visualization: Design and build compelling, user-friendly data assets including both traditional dashboards (e.g. Looker, Tableau) and agentic solutions (e.g. root-cause analysis agents) that facilitate decision-making for business leaders. 
• Mentorship & Development: Provide guidance and mentorship to junior analysts, enhancing their technical skills and fostering a collaborative team environment.
• AI-Driven Analytics & Automation: Identify, design, and implement AI-powered solutions that transform how marketing analytics operates — including agentic workflows (e.g. root-cause analysis agents, automated anomaly detection), LLM-assisted insight generation, and prompt-engineered pipelines. Translate repeatable analyst workflows into scalable AI tools. Act as a driver of AI adoption within the team, setting standards and upskilling junior analysts.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

The Pre-Sales and Post-Sales Support Associate within the Strategic Analytics and Insights (SAI) team plays a vital role as the key liaison between Commercial, Finance, and Sales teams. This role involves providing expert guidance on finance processes, ensuring strict adherence to the Monthly Closing deadlines, and supporting the smooth execution of sales operations. You will work closely with sales development teams across APAC, collaborating with cross-functional teams to optimize tools and processes that accelerate the sales cycle, enhance efficiency, and drive business growth.

Responsibilities:

• Collaborate with SA&I sales representatives to support day-to-day Inside Sales activities and ensure seamless operations.
• Assist sales representatives in updating decks with NIQ branding, ensuring all sales content is polished and client-ready.
• Manage and maintain CRM records for sales representatives, ensuring accuracy and consistency.
• Analyze market data to identify trends, patterns, and actionable insights to inform sales strategies.
• Handle invoicing and contract renewals, ensuring timely and accurate billing processes.
• Ensure proper revenue recognition by updating project dates and coordinating follow-ups with operations and sales representatives on pending tasks.

As a Senior Data Analyst, you will leverage your expertise to directly impact the growth of our 16 markets by delivering actionable insights and advanced analytics solutions. In this role, you’ll work closely with senior stakeholders, mentor junior analysts, and shape the analytics function within one of our functional analytics teams. This is a high-visibility position that plays a pivotal role in data-driven decision-making.

• Own a risk & fraud problem domain end-to-end, framing ambiguous problems and delivering analytical solutions that drive measurable improvements in cost, efficiency, service performance and customer experience.
• Act as a thought partner to business and domain leads, shaping problem statements, challenging assumptions, and co-developing data-driven solutions to high-impact risk and fraud challenges.
• Apply advanced analytical methods, including simulation, optimisation, and statistical modelling, to detect and solve complex problems such as incentive abuse, refund claim abuse and.
• Determine causal impact in operational environments, designing and analyzing experiments (e.g., cluster, switchback) and applying causal inference methods (e.g., DiD, synthetic controls) to inform business decisions.
• Build and scale data products and analytical tools, leveraging modern data stacks and agentic AI workflows to enable deep dives, self-serve analytics, and faster decision-making.
• Drive exploratory and root cause analyses, identifying performance drivers and uncovering opportunities for optimization across the risk and fraud infrastructure.
• Collaborate cross-functionally with data and engineering teams, contributing to data modeling, metric definitions, and scalable solutions that accelerate time-to-insight.
• Communicate with clarity and influence, translating complex analyses into actionable recommendations and driving alignment across technical and business stakeholders.

Find out more about our Data Analytics folks here: 

• Turn insights into impact!
• Looking for a career in data analytics? This could be the opportunity for you!

The Role

As a Senior Business Analyst, you will take the lead in conducting complex business analysis and iteration management to ensure successful initiative outcomes. Your responsibilities include crafting detailed documentation of intricate requirements, facilitating high-level communication with stakeholders, and identifying key opportunities for process optimization that align with broader business objectives.

Collaborating closely with cross-functional teams, such as engineers and product owners, you will lead iterative development and refinement processes, enhancing overall project delivery. You will manage risk, support the seamless implementation of solutions, and drive continuous improvement initiatives, ultimately delivering significant business value and contributing to strategic business success.

The Team 

Join the Marketplace Services (MPS) team as we continue our evolution from a service provider into a strategic platform enabler. Our purpose is to provide trustworthy data and shared services across APAC Candidate, Hirer and AI teams so we can deliver long-term customer value. 

Within MPS, the Profile, Apply and Jobs Services (PAJS) team provide shared capabilities that underpin many of SEEK’s core marketplace experiences: how candidates discover roles, create and manage profiles, and apply for jobs, and how hirers create, manage and optimise job ads. These services sit at the heart of SEEK’s Employment Marketplace and are consumed at scale across the group. 

Key responsibilities

• Define scope, objectives, deliverables; validate requirements and capture feedback.
• Lead discovery and documentation: user stories, use cases, process maps (as-is/to-be), acceptance criteria.
• Prioritise and trace requirements to business value; support solution design and validation.
• Plan and run iteration ceremonies: planning, backlog refinement, reviews, retrospectives.
• Manage risks and change; coordinate testing, develop test cases, verify quality.
• Facilitate workshops, align stakeholders, and maintain clear communication.
• Drive continuous improvement; share best practices; mentor juniors.
• Engage vendors as needed; support SLA compliance and onboarding.