170 Data Analytics jobs in Malaysia

Join to apply for the Data Analytics Specialist role at Nestlé .

Position Summary

Joining Nestlé means you are joining the largest Food and Beverage Company in the world. At our 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, providing opportunities to stand out and grow both professionally and personally.

Position Snapshot

• Location: 1 Powerhouse, Bandar Utama
• Company: Nestlé Malaysia
• Type: Permanent
• Qualifications: Bachelor’s Degree
• Experience: 5+ years

Role Overview

We are seeking a Data Analytics Specialist to analyze large, complex datasets, create meaningful visualizations, and deliver insights that enable informed business decisions. The role involves supporting data engineering efforts, ensuring clean and reliable data through scalable pipelines, and experimenting with data science techniques like predictive modeling, clustering, and classification. This hybrid role requires technical expertise, storytelling with data, and collaboration with stakeholders and technical teams. The ideal candidate will be adaptable, curious, and skilled in integrating analytics, engineering, and data science to maximize data value.

Key Responsibilities

• Understand business challenges and questions
• Explore data to find patterns and insights, providing recommendations
• Build capacity and ensure consistency in insight generation methodologies
• Enhance visual outputs and statistical models leveraging global and local data assets
• Maintain reporting applications and local data assets
• Curate local data assets in cataloguing tools
• Develop exploratory use cases and coordinate with global teams

Analytics Delivery

• Apply analytical techniques to improve customer experience, generate revenue, and optimize operations
• Leverage industrialized analytical models for efficiency
• Support end-to-end solutions with cross-functional teams
• Use visualization techniques to communicate results
• Support KPI/PPI discussions and ad-hoc analyses

Stakeholder Engagement

• Identify opportunities for analytics-driven solutions
• Present recommendations to stakeholders
• Share best practices within the analytics community
• Engage with data science community

Qualifications

• Bachelor’s degree or higher in Engineering, Computer Science, Mathematics, or Statistics
• Experience with cloud platforms (Azure, AWS, Google Cloud)
• Proficiency in programming languages (Python, R, etc.)
• Experience with data visualization/BI tools (e.g., Power BI)
• Experience developing lightweight analytical models
• Knowledge of machine learning algorithms and statistics
• Understanding of analytics project methodologies like CRISP-DM
• Familiarity with FMCG/CPG or retail industry scenarios
• Strong visualization and communication skills
• Ability to work independently and in global teams

Additional Information

• Seniority Level: Associate
• Employment Type: Full-time
• Job Function: Information Technology
• Industry: Food and Beverage Services

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TheData & Analytics Specialist will drive the transformation of our parquet manufacturing plant into a data-driven operation by developing high-quality datasets, creating insightful dashboards, and improving data quality to support strategic and operational decisions. Collaborating with cross-functional teams, the role focuses on enabling live reporting, fostering a culture of self-service BI, and ensuring data is accurate, accessible, and actionable. By standardizing processes and promoting data-driven practices, you will play a key role in enhancing production efficiency and business growth.

MAIN DUTIES AND RESPONSIBILITIES

Enable Data-Driven Decisions: Develop structured datasets and insightful dashboards to support both daily and long-term strategic decisions.

Improve Data Quality: Standardize processes and maintain high data accuracy to ensure reliable reporting and analysis by ensuring all data input is accurate.

Support Operational Efficiency: Use live reporting (real-time reports) and analytics tools to identify actionable insights that improve production processes to prevent delaying in actions to be taken to avoid inefficiency or losses.

Promote Self-Service BI: Build datasets that empower stakeholders to create their own reports, reducing reliance on the D&A team.

Foster Collaboration: Work with cross-functional teams to align data needs and solutions with business goals.

JOB REQUIREMENTS

Education & Experience

• A minimum of a bachelor’s degree or equivalent; through at least 5 years of relevant working experience.
• Proficient in both Bahasa Malaysia and English language.
• Behavioral Skills
• Demonstrates a strong safety mindset, openness to feedback, commitment to continuous improvement, entrepreneurial spirit, collaboration, and adaptability in driving innovative, data-driven solutions.
• Critical, solution-oriented, and proactive with a natural curiosity for improving processes.
• Clear communicator who listens well and conveys technical information to non-technical stakeholders.
• Organized and detail-oriented, with a strong commitment to data quality.

2. Technical Skills

• Strong analytical skills with the ability to simplify complex datasets for diverse stakeholders.
• Experience with BI tools, particularly Microsoft Power BI. Familiarity with Grafana is a plus.
• Affinity for finance-related data analysis is beneficial.
• Exposure in IT in manufacturing environments is an added advantage.

What can you expect?

Unilin is a fast-growing, profitable and bustling group that is active internationally. Innovation is our driving force. Investing in people, technology and sustainable entrepreneurship is characteristic of our culture.

Unilin thrives thanks to a team of colleagues that pride themselves on professionalism and entrepreneurship.

In exchange for your expertise, creativity and dynamism, Unilin offers an attractive salary supplemented with fringe benefits, career opportunities, challenges abroad and a wide range of training options.

Who are we?

Unilin Group is an international reference in interior design and construction industry solutions with a strong focus on sustainability and innovation. With our floors, panels, insulation materials and technologies we are present in the homes and workplaces of millions of people and in public spaces across the globe. Our brands Quick-Step, Pergo and Moduleo probably ring a bell. Every day, some 8,300 employees around the world dig deep to push boundaries and innovate. Want to learn more about us? Then be sure to check out our website.

#J-18808-Ljbffr

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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, modelling, clustering, decision trees, neutral networks, deep learning, optimization, etc
• Knowledge of advance analytics project methodologies like CRISP-DM
• Familiarity with “FMCG/ CPG” or “Retail” industry and applied analytics to scenarios in context of 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

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**Position Snapshot**
Location: 1 Powerhouse, Bandar Utama
Company: Nestlé Malaysia
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, modelling, clustering, decision trees, neutral networks, deep learning, optimization, etc
+ Knowledge of advance analytics project methodologies like CRISP-DM
+ Familiarity with "FMCG/ CPG" or "Retail" industry and applied analytics to scenarios in context of 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
+ Good customer facing skills

Join to apply for the

Data Analytics Specialist

role at

Nestlé . Position Summary

Joining Nestlé means you are joining the largest Food and Beverage Company in the world. At our 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, providing opportunities to stand out and grow both professionally and personally. Position Snapshot

Location: 1 Powerhouse, Bandar Utama Company: Nestlé Malaysia Type: Permanent Qualifications: Bachelor’s Degree Experience: 5+ years Role Overview

We are seeking a Data Analytics Specialist to analyze large, complex datasets, create meaningful visualizations, and deliver insights that enable informed business decisions. The role involves supporting data engineering efforts, ensuring clean and reliable data through scalable pipelines, and experimenting with data science techniques like predictive modeling, clustering, and classification. This hybrid role requires technical expertise, storytelling with data, and collaboration with stakeholders and technical teams. The ideal candidate will be adaptable, curious, and skilled in integrating analytics, engineering, and data science to maximize data value. Key Responsibilities

Understand business challenges and questions Explore data to find patterns and insights, providing recommendations Build capacity and ensure consistency in insight generation methodologies Enhance visual outputs and statistical models leveraging global and local data assets Maintain reporting applications and local data assets Curate local data assets in cataloguing tools Develop exploratory use cases and coordinate with global teams Analytics Delivery

Apply analytical techniques to improve customer experience, generate revenue, and optimize operations Leverage industrialized analytical models for efficiency Support end-to-end solutions with cross-functional teams Use visualization techniques to communicate results Support KPI/PPI discussions and ad-hoc analyses Stakeholder Engagement

Identify opportunities for analytics-driven solutions Present recommendations to stakeholders Share best practices within the analytics community Engage with data science community Qualifications

Bachelor’s degree or higher in Engineering, Computer Science, Mathematics, or Statistics Experience with cloud platforms (Azure, AWS, Google Cloud) Proficiency in programming languages (Python, R, etc.) Experience with data visualization/BI tools (e.g., Power BI) Experience developing lightweight analytical models Knowledge of machine learning algorithms and statistics Understanding of analytics project methodologies like CRISP-DM Familiarity with FMCG/CPG or retail industry scenarios Strong visualization and communication skills Ability to work independently and in global teams Additional Information

Seniority Level: Associate Employment Type: Full-time Job Function: Information Technology Industry: Food and Beverage Services

#J-18808-Ljbffr

The Data & Analytics Specialist will drive the transformation of our parquet manufacturing plant into a data-driven operation by developing high-quality datasets, creating insightful dashboards, and improving data quality to support strategic and operational decisions. Collaborating with cross-functional teams, the role focuses on enabling live reporting, fostering a culture of self-service BI, and ensuring data is accurate, accessible, and actionable. By standardizing processes and promoting data-driven practices, you will play a key role in enhancing production efficiency and business growth. MAIN DUTIES AND RESPONSIBILITIES Enable Data-Driven Decisions: Develop structured datasets and insightful dashboards to support both daily and long-term strategic decisions. Improve Data Quality: Standardize processes and maintain high data accuracy to ensure reliable reporting and analysis by ensuring all data input is accurate. Support Operational Efficiency: Use live reporting (real-time reports) and analytics tools to identify actionable insights that improve production processes to prevent delaying in actions to be taken to avoid inefficiency or losses. Promote Self-Service BI: Build datasets that empower stakeholders to create their own reports, reducing reliance on the D&A team. Foster Collaboration: Work with cross-functional teams to align data needs and solutions with business goals. JOB REQUIREMENTS Education & Experience A minimum of a bachelor’s degree or equivalent; through at least 5 years of relevant working experience. Proficient in both Bahasa Malaysia and English language. Behavioral Skills Demonstrates a strong safety mindset, openness to feedback, commitment to continuous improvement, entrepreneurial spirit, collaboration, and adaptability in driving innovative, data-driven solutions. Critical, solution-oriented, and proactive with a natural curiosity for improving processes. Clear communicator who listens well and conveys technical information to non-technical stakeholders. Organized and detail-oriented, with a strong commitment to data quality. 2. Technical Skills Strong analytical skills with the ability to simplify complex datasets for diverse stakeholders. Experience with BI tools, particularly Microsoft Power BI. Familiarity with Grafana is a plus. Affinity for finance-related data analysis is beneficial. Exposure in IT in manufacturing environments is an added advantage. What can you expect?

Unilin is a fast-growing, profitable and bustling group that is active internationally. Innovation is our driving force. Investing in people, technology and sustainable entrepreneurship is characteristic of our culture. Unilin thrives thanks to a team of colleagues that pride themselves on professionalism and entrepreneurship. In exchange for your expertise, creativity and dynamism, Unilin offers an attractive salary supplemented with fringe benefits, career opportunities, challenges abroad and a wide range of training options. Who are we?

Unilin Group is an international reference in interior design and construction industry solutions with a strong focus on sustainability and innovation. With our floors, panels, insulation materials and technologies we are present in the homes and workplaces of millions of people and in public spaces across the globe. Our brands Quick-Step, Pergo and Moduleo probably ring a bell. Every day, some 8,300 employees around the world dig deep to push boundaries and innovate. Want to learn more about us? Then be sure to check out our website.

#J-18808-Ljbffr

Press Tab to Move to Skip to Content Link 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, modelling, clustering, decision trees, neutral networks, deep learning, optimization, etc Knowledge of advance analytics project methodologies like CRISP-DM Familiarity with “FMCG/ CPG” or “Retail” industry and applied analytics to scenarios in context of 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

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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

• Conduct development and implementation data solutions to support business objectives and goals
• Maintain data analytics / data science solutions developed in-house

PRINCIPAL ACCOUNTABILITIES:

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 solution (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 : Execute activities required to maintain and support in-house developed data engineering solutions, allowing continuous enhancements to meet evolving business needs.
• 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 to ensure knowledge sharing and continuity.

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 serve as references and to scale across other departments or business units where applicable.
• MVP Development : Create Minimum Viable Products (MVPs) for selected use cases to assess their feasibility and potential value to the business.
• Support & Recommendations : Assist in providing recommendations and advice on suitable data science solutions to address business challenges and pain points.

REQUIREMENT & QUALIFICATION:

• Minimum 5 years of work experience in related fields. Candidates with relevant experience will be at an advantage:
• Cloud-Based Solutions: Proven track record in developing innovative cloud-based data solutions (AWS/Azure/GCP/Alibaba Cloud etc).
• Project Management: Demonstrated ability to support data project management through planning, execution, and successful delivery.
• Collaboration: Strong team player with the ability to work collaboratively with cross-functional teams, including data scientists, analysts, and business stakeholders.
• Data Analytics: Expertise in data analytics, particularly in finance and management reporting, along with advanced Excel financial modelling skills.
• Financial Insights: Experience in involvement in financial insights and management accounting (SAP)
• Application Development: Proficiency in developing both cloud-based and standalone (desktop-based) applications.

Educational Background :

• Bachelor’s degree in Science, Technology, Engineering, Mathematics, Finance, Accounting, Data Science, Data Analytics, or a related field. Academic exposure to accounting, finance, investment, or business is advantageous.
• A Master’s degree or professional accounting qualification (e.g., CIMA, CFA, MBA, MSc) is an added advantage.

Technical Skills :

• Knowledge or certification in statistics and data analysis.
• Familiarity with ERP Financial Solutions, particularly SAP FICO & BPC, is highly preferred.

Additional Qualifications :

• Strong analytical and problem-solving skills.
• Ability to work collaboratively in a team environment.
• Excellent communication skills to effectively convey technical information to non-technical stakeholders.
• Proficiency in data visualisation tools and techniques.
• Experience with data mining, transformation, and modelling.

*PLEASE NOTE THAT THIS IS A CONTRACT POSITION

Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Other
• Industries Transportation, Logistics, Supply Chain and Storage

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At MR DIY International, we're more than a global home improvement brand, we're a catalyst for ambitious talent ready to grow beyond borders.

With over 5,000+ stores across 14 countries globally, we offer unmatched international exposure to those looking to build a meaningful, global career. From retail operations and merchandising to strategy, tech, and supply chain. Your work here shapes how millions of customers shop every day.

Job Summary

The Senior Manager, Business Analytics, will be responsible for overseeing the analytics team, driving data-driven decision-making, and providing insights that will shape our business strategies. This role requires a strong analytical mindset, excellent leadership skills, and a deep understanding of business operations.

Key Responsibilities

• Lead and mentor a team of business & Data Analysts to solve business issues
• Develop and implement analytics strategies to support business objectives.
• Collaborate with cross-functional teams to identify data needs and deliver actionable insights.
• Ensure data quality, accuracy, and integrity across all analytics platforms.
• Present findings and recommendations to senior leadership and other stakeholders.
• Stay current with industry trends and best practices in analytics
• Manage and allocate resources effectively to meet project deadlines and objectives.
• Foster a culture of continuous improvement and innovation within the analytics team.

Job Requirements

• Bachelor’s degree in Business, Analytics, Statistics, Data Science, or a related field. A Master’s degree is preferred.
• Minimum of 8 years of experience in business analytics or a related field, preferable experienced in a managerial role.
• Excellent problem-solving skills and the ability to think strategically.
• Exceptional communication and presentation skills.
• Strong understanding of business operations and key performance metrics.
• Experienced in retail environment or in consulting industry

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