Digital Analytics Manager

Petaling Jaya, Selangor MYR90000 - MYR Y Hong Leong MSIG Takaful

Job Description

Job Description

• Provides tactical marketing and analysis support to internal customers including : customer profiling, segmentation, customer lifetime value analysis, attrition models, machine learning models, and local market opportunity analysis.
• Using analytical and visualization software to access, transform, integrate, analyze and visualize data to help solve real problems and provide business insight.
• Mine data from primary and secondary sources. Clean and prune data to discard irrelevant information. Introduce new data source to improve machine learning models.
• Identify customers for campaign targeting based on their needs and eligibility, and conduct in depth post implementation review for continues improvement and learning.
• Work closely with client to identify business requirements and translating data into informative insights and report to help solve real problems and provide business insight. Design key metrics to track business performance and identify business issue and challenges.
• Support the campaign management from leads identification, interim tracking, and fulfillment.
• Analyze and interpret results using standard statistical tools and techniques.
• Pinpoint trends, correlations and patterns in complicated data sets
• Mentoring and coaching others to improve their analytical skills.

Job Requirement

• Experience in analyzing data trends and recommend solutions / campaigns to create revenue or improve efficiency.
• Experience in data visualization.
• Analytical, creative and innovative approach in solving problems
• Experience in building statistical model.
• Experience in insurance or financial services industry is preferred
• At least 5 years of business intelligence and analytic experience in the financial industry is preferred. Candidate with supervisory experience is preferred.
• SAS / SQL, Tableau / Power BI and other analytics software (e.g. Python and R).
• Possess leadership qualities.
• Excellent interpersonal skills.
• Ability to manage multiple priorities and manage senior stakeholders

Data Analytics Manager

Posted today

Job Description

• Using analytical and visualization software to extract, transform, integrate, analyze and visualizedatato help solve business problems, fulfill business use cases and transform findings into storytelling insights
• Hands‑on writing SQL scripts to integrate and transformdata from multiple sources, to perform data-mining and extraction for ad‑hoc requests to fulfil ad‑hoc analysis, business performance insights and regulatory reporting.
• Identify potential leads for cross‑sell and upsell campaigns targeting based on their needs & eligibility, setup post campaign tracking and conduct in depth post campaign review for continuous improvement and learning.
• Cross‑functional collaboration with different department in driving and supporting new transformation projects and ad‑hoc initiatives.
• Deliver business requirements within agreed timelines and aligned with business objectives, ensuring data integrity, quality controls and customer satisfaction.
• Develop and automate regular data requests and reports using available analytical tools such as SSIS and Tableau.
• Analyze and interpret results using standard statistical tools and techniques. Pinpoint trends, correlations and patterns in complicated datasets.
• Analyze the end‑to‑end customer journey to help drive insights into the acquisition, conversion or retention of a customer across marketing, operations, claims or other areas.
• Practice discipline in progress tracking, attentive communication & collaboration, documentation and building sustainable & scalable solutions.
• Keep up to date with industry trends, emerging technologies, and best practices in business intelligence and analytics

Job Requirements :

• At least 5 years of business intelligence and analytic experience in the insurance or financial industry is preferred.
• Hands‑on experience in writing SQL scripts, joining tables, transforming data, designing star / snowflake schema
• Experience in analyzing data trends and recommend solutions / campaigns to create revenue or improve efficiency.
• Experience in customer segmentation, demographic study, identify leads for cross‑sell and upselling campaigns.
• Experience in data integration, automation and data visualization.
• Analytical, creative and innovative approach in solving problems
• Experience in insurance or financial services industry is preferred.
• Excellent writing and communication skills in English.

Data Analytics Specialist

Posted today

Job Description

Position Snapshot

Permanent

Bachelor's Degree

5+ years of experience

Position Summary

Joining Nestlé means you are joining the largest Food and Beverage Company in the world. At our very core, we are a human environment – passionate people driven by the purpose of enhancing the quality of life and contributing to a healthier future. A Nestlé career empowers you to make an impact locally and globally, as you are provided with the opportunity to make a mark and stand out, as long as you seek it. With Nestlé, you are enabled and encouraged to grow not only as professionals, but also as people.

We are looking for a Data Analytics Specialist to analyse large, complex datasets, create meaningful visualizations, and deliver insights that empower business teams to make informed decisions. The specialist will also play a significant role in supporting data engineering efforts, ensuring the availability of clean and reliable data through scalable pipelines and robust architectures. Additionally, the role includes experimenting with basic data science methods, such as predictive modelling, clustering, and classification, to uncover hidden patterns and future trends. This hybrid role requires strong technical expertise, a passion for storytelling with data, and the ability to collaborate effectively with business stakeholders and technical teams. The ideal candidate will be adaptable, curious, and capable of integrating analytics, engineering, and data science skills to maximize the value of the organization's data assets.

A day in the life.

• Understand business challenges and business questions
• Data exploration to find patterns and insights to provide recommendations and instigate actions and decisions
• Build capability and ensure consistency of Insight generation methodologies to Business Analysts in category / function
• Operationalizing or last mile enhancements to visual outputs and light statistical models leveraging global and local data assets and globally delivered products including machine learning capabilities
• Maintenance of last mile reporting applications or any local data leveraged in market / category
• Technical and business data curation of local assets in cataloguing tool
• Develop exploratory use cases and handoff with Global hub if governance decides to scale
• Delivery of analytics
• Uses relevant analytical techniques to increase and optimize customer and consumer experience, generate revenue, increase margin, eliminate operational costs, and other business outcomes
• Gain efficiency by leveraging successfully industrialized analytical models that exploit Nestlé's data assets
• Supports other partners to deliver E2E business solutions (e.g. business domain experts, solution architects, data engineers, visualization experts etc.)
• Utilizes visualization techniques to clearly communicate the output of analytical processes (descriptive, diagnostic, predictive, prescriptive)
• Supports KPI / PPI measures discussions from analytical output
• Supports ad‑hoc analytic processes and presents results in a clear manner
• Considers the cost benefit analysis between full automation and manual intervention in analytical E2E delivery
• Stakeholder engagement and analytics evangelisation
• Supports stakeholders on immediate team to identify opportunities for leveraging analytical techniques on top of data assets to drive business solutions
• Influences immediate team through presentation of analytically‑based business recommendations
• Supports best practice sharing within local analytics community
• Supports data science community involvement

What will make you successful

• Bachelor's degree or higher (Engineering / Computer Science / Mathematics / Statistics preferred)
• Experience in cloud environments (AZURE, AWS, Google Cloud, etc.)
• Experience in programming language (Python, R and etc.)
• Experience in data visualization / Business Intelligence Tools e.g., MS Power BI
• Experience developing light analytical models to solve business problems
• Experience in using machine learning algorithms and statistics : regression, simulation, scenario analysis, modeling, clustering, decision trees, neural networks, deep learning, optimization, etc
• Knowledge of advanced analytics project methodologies like CRISP-DM
• Familiarity with "FMCG / CPG" or "Retail" industry and applied analytics to scenarios in this domain
• Good visualization skills for creating dashboards, scorecards, reports and insights
• Good written and verbal communication skills
• Possess the ability to communicate complex results and insights to technical and non‑technical audiences
• Ability to work with minimal supervision
• Open to working in a global environment and with virtual teams

Data Analytics Specialist

Petaling Jaya, Selangor MYR60000 - MYR80000 Y Michael Page International (Malaysia) Sdn Bhd

Posted today

Job Description

Michael Page are currently partnering with a well established Shared Service centre in the Business Services industry, to recruit a Data Analytics Specialist to join their team. Offering great career progression, plenty of WFH flexibility (only 1 day working from home), and competitive remuneration.

Our client is a well‑established, large organization within the business services industry. They are recognized for their focus on innovation and delivering high‑quality solutions to its clients. The team fosters a supportive and professional work environment, and offers great benefits to employees.

Description

Your main job duties will include;

Collaborate with stakeholders to gather data requirements and ensure accuracy of both manual and system‑generated data.

Support implementation of analytics and automation tools, starting with manual data collection and integration into SAP S4Hana, and Tableau.

Create reports and dashboards that combine manual inputs and system data to deliver actionable business insights.

• Identify and resolve data discrepancies from manual sources and automated systems.
• Analyze trends and support root cause investigations using a mix of manual and system data.
• Drive process improvements to reduce manual effort and enhance automation and reporting accuracy.
• Deliver timely ad‑hoc reports and monitor performance against SLAs.

Profile

The successful candidate will ideally have :

• Bachelor's Degree or equivalent experience
• At least 2 years experience in Business Intelligence and data reporting
• Experience with BI systems such as SAP, Tableau, and Power BI
• Great numeracy and mathematical skills, and attention to detail
• Ability to work proactively, independently, and as a strategic partner in a team environment
• Demonstrated critical thinking

Job Offer

The successful candidate will receive;

• Plenty of WFH Flexibility (only 1 day working from the office)
• Great supportive and collaborative team environment
• Competitive Remuneration

To apply online please click the 'Apply' button below. For a confidential discussion about this role please contact Georgina McEwen on

Manager, Data Analytics

Posted today

Job Description

Job Description

• Responsible in develop and implement data science capabilities and models that support business objectives, including segmentation, profiling, identify quality leads, next best offer, etc.
• Apply predictive modeling, machine learning, and statistical techniques to solve complex business problems, enhance operational processes, and identify cross‑sell and upsell opportunities.
• Lead data science initiatives from ideation to deployment, including business case identification, requirements gathering, assessment, solution design, development, testing, implementation, performance tracking, and automation.
• Work closely with business stakeholders, IT and other functional teams in a dynamic environment to ensure alignment and successful delivery of solutions.
• Write SQL scripts to integrate and transform data from multiple sources, to perform data‑mining and extraction for ad‑hoc analytics requests such as business performance insights and regulatory reporting.
• Develop comprehensive, timely and accurate analysis, and presentations by using analytical and visualization software to communicate insights and recommendation to stakeholders.
• Analyze complex datasets using statistical tools and techniques to identify trends, correlations and patterns that inform business decisions.
• Practice discipline in progress tracking, attentive communication & collaboration, documentation and building sustainable & scalable solutions.
• Stay current with industry trends, emerging technologies, and best practices in data science and analytics.

Job Requirement

• Bachelor's or Master's degree in Data Science, Statistics, Computer Science, Actuarial Science, or a related field.
• Solid understanding of machine learning algorithms, statistical modeling and data engineering principles.
• Experience in propensity modelling and strong knowledge in using advanced analytics tool and languages to analyze large datasets from multiple data sources.
• Knowledge of life insurance practices preferred.
• At least 5 years of data science experience in the financial or insurance industry is preferred. Candidate with supervisory experience is preferred.
• Strong proficiency in SAS, SQL and Python / R.
• Familiar with data visualization tool e.g. Tableau
• Advantageous to have experience in RDBMS and data mining tools such as MS SQL Server Mgmt Studio, Google Cloud Platform, etc.
• University degree or equivalent.
• At least 5 years of relevant working experience.
• Possess strong leadership qualities, Excellent interpersonal skills, Able to collaborate with other teams to drive positive outcomes and ability to manage multiple priorities and manage senior stakeholders.

Senior Data Analytics Specialist

Posted today

Job Description

Job Description

We are seeking a highly skilled Senior Data Analyst / BI Developer with deep expertise in SQL and Tableau. This is a hands‑on role, responsible for delivering end‑to‑end analytics solutions — from data preparation to dashboard delivery — with a strong emphasis on performance, scalability, and impact. The successful candidate will be trusted to own critical dashboards and key analytics initiatives that shape decision‑making across the business.

Responsibilities

• Write, optimise, and maintain complex SQL queries to extract, transform, and validate data.
• Design and maintain robust, reusable data models to support enterprise‑wide analytics.
• Build high‑quality Tableau dashboards and Tableau Pulse metrics that deliver actionable insights to business stakeholders.
• Create and standardise a library of reusable dashboard templates to streamline future development.
• Apply best practices for performance tuning, UI / UX, and mobile readiness to ensure dashboards scale effectively.
• Partner with stakeholders to understand requirements and translate them into reliable data‑driven solutions.
• Contribute technical expertise and knowledge‑sharing to uplift analytics standards across the business.

Requirements

• 5–10 years' experience in data analytics and Tableau dashboard development.
• Expert‑level SQL skills, including complex query optimisation and stored procedures.
• Proven track record designing, building, and deploying dashboards in Tableau Desktop / Server / Cloud.
• Familiarity with Snowflake (preferred) or similar modern data warehouse technologies.
• Strong grounding in data modelling, ETL processes, and performance optimisation.
• Excellent analytical and problem‑solving skills, with clear communication to both technical and non‑technical audiences.
• Bonus : experience with Python for automation or advanced data manipulation.

Next Steps

Thank you for taking the first step toward joining our team at CelcomDigi After submitting your application, our Talent Acquisition team will review your CV and reach out to shortlisted candidates to guide you through the next steps, including a pre‑screening conversation, interviews and or assessments.

At CelcomDigi, we aspire to be Malaysia's leading telco‑tech company — the nation's digital growth engine — powering transformation through 5G, AI, and innovation that impacts over 20 million customers. Here, your role goes beyond work. It's about enabling businesses to thrive, connecting communities, and advancing society, while we build a brand rooted in trust, reliability and customer excellence. We align with our employer value proposition : Grow with Purpose. Build with Trust. You will have the opportunity to innovate responsibly and create digital solutions that truly make a difference. If you're driven, future focused, and ready to be part of something bigger, we want you on our team.

Let's advance and inspire Malaysia together #WeAreCelcomDigi

CelcomDigi is an equal opportunity employer, and committed to promote employment practices that are transparent, objective, and fair.

Data Analysis Internship

Posted today

Job Description

Requirements

• Full time internship for Diploma / Degree students from Business Analytic or relevant programs
• Proficient in Microsoft Excel or Google Sheets for analytic related formula such as pivot table
• Attention to detail and the ability to multitask is always a plus.
• Ability to work well under pressure in a fast‑paced and ever‑changing environment.

Responsibility

• Data entry of related data for data analysis to gain true understanding of users
• Data analysis for marketing campaigns, performances of online kitchens and so on.
• Reporting of performances to relevant team for quality assurance
• Perform ad hoc task assigned by manager to improve overall business performance, process improvement and efficiency.
• Gain hands‑on experience in building a business
• Develop real‑world skills like project management and effective communication to build your own profile
• Work culture that is open and feedback‑driven, learn from anyone; share with everyone. (Founders included)
• Allowance Provided

Job Type : Internship

Contract length : 3 months

Ability to commute / relocate :

• Petaling Jaya : Reliably commute or planning to relocate before starting work (Required)

Application Question(s) :

• Please state the exact end and start date of your internship period :

Language : Data Analytics

Posted today

Job Description

What you'll be doing

• Gather, analyse and interpret complex data from various sources to identify trends, patterns and opportunities
• Develop and maintain robust data models, dashboards and reporting tools to enable data‑driven decision making
• Collaborate with cross‑functional teams to understand their data and analytics requirements
• Implement advanced analytics techniques such as predictive modelling, forecasting and scenario planning
• Translate technical insights into actionable business recommendations
• Support the enhancement and automation of data processes and workflows
• Stay up-to-date with the latest data analytics tools, technologies and industry best practices

What we’re looking for

• Bachelor’s degree in a quantitative field such as Data Science, Statistics, Mathematics or Computer Science
• 1 year of relevant experience in data analytics, business intelligence or a similar role
• Proficiency in SQL, Python or R for data extraction, transformation and analysis
• Excellent data visualisation and reporting skills using tools like Power BI, Tableau or Qlik
• Experience in applying statistical and machine learning techniques to solve business problems
• Strong problem‑solving, critical thinking and communication skills
• Ability to work collaboratively in a team and translate complex data insights into actionable recommendations

Interested candidates who wish to apply for the advertised position, please email us an updated copy of your resume.

EA License No. : 13C6305

Reg No : R HIEW CHAI SYIN)

For candidate who applied for the advertised position is deemed to have consented to us that we may collect, use or disclose your personal information for purpose in connection with the services provided by us.

Data Analytics

Petaling Jaya, Selangor MYR60000 - MYR Y Siemens Energy

Posted today

Job Description

A Snapshot of Your Day

This role is designed for a forward‑thinking professional who blends expertise in data science, machine learning, and software engineering to build intelligent systems that drive business performance. The ideal candidate will be responsible for developing AI models, running experiments, and translating business needs into scalable analytics solutions.

How You’ll Make an Impact

• Design and implement machine learning and deep learning models for business needs.
• Conduct experiments to assess and improve model performance.
• Research and apply suitable ML algorithms and tools for problem‑solving.
• Analyze large datasets to identify trends and insights.
• Develop dashboards and visualizations to support decision‑making.
• Collaborate to align AI solutions …

What You Bring

• Great foundation …

About The Team

Our Grid …

Who Is Siemens Energy?

At Siemens …

Our Commitment to Diversity

• Outstanding …

Rewards  /  Benefits

• Outstanding …

Data Analytics

Posted today

Job Description

Responsibilities :  -

• Data Collection : Gather data from internal and external sources…
• Data Management…
• Data Interpret…
• Data Analysis…
• Reporting & Visualization…
• Collaboration…
• Govern…
• Optimization…

Requirements :  -

• Experienced …
• Mandarin …

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