880 Analytics Specialist 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.

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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

About iNova

iNova is a different kind of health company.We areleading the way to better health by delivering innovative, patient-centric products that improve the lives of people around the world. Ourdiverse portfolio of iconic, market-leading consumer health brands and prescription medicines are backed by science and distributed in over 75 markets across Asia, Australia, New Zealand, Middle East & Africa and Europe. Experience the iNova difference today.

The Opportunity

We currently have an opportunity for Sales Force Effectiveness (SFE) & Data Analytics Specialist to join our Sales team in Malaysia.

Reporting to the Customer Marketing Manager, The SFE & Data Analytics Specialist will play a critical role in driving commercial effectiveness through data-driven insights and performance management. The role is responsible for Sales Force Effectiveness (SFE), reporting, and analytics to support business decision-making, optimize resource allocation, and enhance field force productivity. This position will collaborate with cross-functional teams including Sales, Marketing, Medical, and Finance to ensure alignment and execution of commercial strategies.

Key Responsibilities:

Sales Force Effectiveness (SFE)

• Provide analytical support to commercial teams to optimize field effectiveness.
• Manage and monitor territory alignment and call planning, ensuring efficient coverage.
• Develop incentive compensation schemes, ensuring alignment with business objectives.
• Administer CRM and content platform, ensuring seamless operation and feature rollouts
• Train sales teams on CRM usage, SFE tools, and data interpretation.

Data Analytics & Reporting

• Deliver timely and accurate sales reports, dashboards, and business reviews to management and sales teams.
• Conduct in-depth data analysis (IQVIA, sales, CRM, market data) to generate actionable insights.
• Support trend analysis, and performance tracking for channel and brands.
• Provide analytical support for strategic planning, product launches, and business reviews.

About You:

Education:

• Bachelor’s degree in Business, Economics, Statistics, Data Science, or related fields.

Experience:

• Minimum 3 years relevant working experience. Prior working experience in SFE, Commercial Analytics, or Business Intelligence within the pharmaceutical / healthcare industry will be added advantage.

Technical Skills:

• Advanced proficiency in Microsoft Excel, PowerPoint ; experience with Veeva CRM and BI tools highly preferred.
• Strong analytical, statistical, and problem-solving skills.
• Possess ability to utilize systems to aid in data extraction and analysis

Personal Attributes

• Analytical thinker with strong business acumen and attention to detail.
• Proactive and solution-oriented, able to translate data into actionable recommendations.
• Strong communication and presentation skills, with ability to simplify complex analyses for business stakeholders.
• Collaborative team player, able to work across functions and influence without authority.
• Adaptable and agile, able to work in a fast-paced and dynamic environment.

Additional Requirements / Working Conditions

• Adhere to company values at all times
  

If you wish to be part of an energetic team within a thriving organisation, focused on bringing innovative products to market, please APPLY TODAY! We want you to join us in our pursuit of healthy living!

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Join to apply for the Customer Analytics Specialist role at RHB Banking Group

Join to apply for the Customer Analytics Specialist role at RHB Banking Group

• Well-versed in using data generation tools to perform day-to-day tasks such as generating analytics insights and campaign leads opportunities and fulfillments from granular data points.
• Constantly improve own technical and method of preparing analytical/ campaign deliverables and supervise their work quality and efficiency.
• Possess good analytical skills to conduct new analysis in understanding customers, its impact and opportunities.
• Good coordination skills to drive the execution of new opportunities with retail business, retail marketing, retail distribution, data providers and analytic modelers.
• Adopt and execute advance analytics practices to deepen the quality of insights and campaign leads.
• Assist Chapter Lead to build and nurture data driven culture across squad members to combine usage of data analysis and market knowledge and product experience to formulate and validate strategies and executions.
• Assist Chapter Lead to engage stakeholders to produce continuous improvement in acquiring new data sources and applying advance analytics capabilities to uncover hidden opportunities

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

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• Job function Research, Analyst, and Information Technology

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7 months ago Be among the first 25 applicants

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PropertyGuru is Southeast Asia’s leadingPropTech company, and the preferred destination for over 34 million property seekers to connect with almost 55,000 agentsmonthly to find their dream home.PropertyGuru empowers property seekers with more than 2.8 million real estate listings, in-depth insights, and solutions that enable them to make confident property decisions across Singapore, Malaysia, Thailand, and Vietnam.

PropertyGuru.com.sg was launched in Singapore in 2007 and since then, PropertyGuru Group has made the property journey a transparent one for property seekers in Southeast Asia. In the last 16 years, PropertyGuru has grown into a high-growth PropTech company with a robust portfolio including leading property marketplaces and award-winning mobile apps across its core markets; mortgage marketplace,PropertyGuru Finance ; home services platform,Sendhelper ; a host of proprietary enterprise solutions underPropertyGuru For Business includingDataSense,ValueNet,Awards, events and publications across Asia.

For more information, please visit: PropertyGuruGroup.com ; PropertyGuru Group on LinkedIn

Responsibilities

• Collaborate with the People Analytics team to analyze people data and provide insights that influence key business decisions.
• Utilize Workday Report Writer to create, modify, and analyze reports to support data-driven decision-making within HR.
• Prepare regular HR reports on key metrics such as headcount, turnover, recruitment, and diversity using tools like Power BI and Excel.
• Leverage Python for predictive analytics to forecast trends and improve workforce planning.
• Develop clear and effective data visualizations that make complex information accessible for stakeholders.
• Support data requests from requirement gathering to solution delivery, ensuring timely and accurate reporting.
• Ensure data integrity by monitoring, cleaning, and maintaining the quality of data used for analysis and reporting.
  
  

Requirement

• 2-3 years of experience in a data analysis or analytics role, with strong problem-solving skills.
• Bachelor's degree in Data Science, Statistics, or a related field.
• Proficiency in data analysis tools and software such as Excel, Python, SQL, and Power BI.
• Experience with Workday Report Writer is preferred: Ability to generate and modify reports in Workday to support workforce planning and HR decision-making.
• Knowledge of HR processes is a plus but not essential.
• Strong communication skills with the ability to present data clearly and concisely to non-technical audiences.
• Attention to detail and a commitment to working with sensitive and confidential data responsibly.
• Ability to work both independently and collaboratively within a team environment.
• Eagerness to learn, adapt to new tools and technologies, and a "get things done" mindset.
  
  

At PG, every Guru is guided by our comprehensive development map, which includes:

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Own It & Deliver It; Respect & Care for Each Other; Have Fun & Celebrate Success

Push Beyond Good; Create What's Next

Leadership Traits

Engaging in Courageous Conversations; Embracing Continuous Learning; Fostering Creative Collaborations

PropertyGuru Group is an equal opportunity employer committed to fostering an inclusive, innovative a learning environment with the best employees. Therefore, we provide employment opportunities without regard to gender, identity, race, religion, nationality, age, marital status, disability, or any other protected status, per applicable law. If there is anything we can do to help ensure you have a comfortable and positive interview experience, please let us know.

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Join to apply for the People Analytics Specialist role at PropertyGuru Group

7 months ago Be among the first 25 applicants

Join to apply for the People Analytics Specialist role at PropertyGuru Group

Get AI-powered advice on this job and more exclusive features.

PropertyGuru is Southeast Asia’s leadingPropTech company, and the preferred destination for over 34 million property seekers to connect with almost 55,000 agentsmonthly to find their dream home.PropertyGuru empowers property seekers with more than 2.8 million real estate listings, in-depth insights, and solutions that enable them to make confident property decisions across Singapore, Malaysia, Thailand, and Vietnam.

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For more information, please visit: PropertyGuruGroup.com ; PropertyGuru Group on LinkedIn

Responsibilities

• Collaborate with the People Analytics team to analyze people data and provide insights that influence key business decisions.
• Utilize Workday Report Writer to create, modify, and analyze reports to support data-driven decision-making within HR.
• Prepare regular HR reports on key metrics such as headcount, turnover, recruitment, and diversity using tools like Power BI and Excel.
• Leverage Python for predictive analytics to forecast trends and improve workforce planning.
• Develop clear and effective data visualizations that make complex information accessible for stakeholders.
• Support data requests from requirement gathering to solution delivery, ensuring timely and accurate reporting.
• Ensure data integrity by monitoring, cleaning, and maintaining the quality of data used for analysis and reporting.
  
  

Requirement

• 2-3 years of experience in a data analysis or analytics role, with strong problem-solving skills.
• Bachelor's degree in Data Science, Statistics, or a related field.
• Proficiency in data analysis tools and software such as Excel, Python, SQL, and Power BI.
• Experience with Workday Report Writer is preferred: Ability to generate and modify reports in Workday to support workforce planning and HR decision-making.
• Knowledge of HR processes is a plus but not essential.
• Strong communication skills with the ability to present data clearly and concisely to non-technical audiences.
• Attention to detail and a commitment to working with sensitive and confidential data responsibly.
• Ability to work both independently and collaboratively within a team environment.
• Eagerness to learn, adapt to new tools and technologies, and a "get things done" mindset.
  
  

At PG, every Guru is guided by our comprehensive development map, which includes:

Core Values

Own It & Deliver It; Respect & Care for Each Other; Have Fun & Celebrate Success

Push Beyond Good; Create What's Next

Leadership Traits

Engaging in Courageous Conversations; Embracing Continuous Learning; Fostering Creative Collaborations

PropertyGuru Group is an equal opportunity employer committed to fostering an inclusive, innovative a learning environment with the best employees. Therefore, we provide employment opportunities without regard to gender, identity, race, religion, nationality, age, marital status, disability, or any other protected status, per applicable law. If there is anything we can do to help ensure you have a comfortable and positive interview experience, please let us know.

Seniority level

• Seniority level Entry level

Employment type

• Employment type Full-time

Job function

• Job function Human Resources
• Industries Software Development

Referrals increase your chances of interviewing at PropertyGuru Group by 2x

Sign in to set job alerts for “Human Resources Analytics Specialist” roles. (Fresh Grads ONLY - July Onwards Intake) - Engineer, Data Analyst Equipment Engineering (Senior) Research Analyst, Semiconductors Japanese HR Support Specialist (Penang) - Japanese Speaker

Georgetown, Penang, Malaysia MYR7,700.00-MYR9,300.00 1 month ago

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Amway Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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Amway Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

1 month ago Be among the first 25 applicants

Join to apply for the People Analytics Specialist role at Amway

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• Lead the development of predictive and prescriptive analytics models to address complex workforce challenges (e.g.,
  
  
• Provide business and people insight and recommendations through metrics, reporting, and variance analysis coming from
  
  

Job Description

Apply now

Job Title: People Analytics Specialist

Posting Start Date: 6/24/25

Posting Location: Kuala Lumpur, MY

Requisition ID: 42097

Job Responsibilities

Strategic Analytics & Insights

• Lead the development of predictive and prescriptive analytics models to address complex workforce challenges (e.g.,
  
  

Human Capital Planning, attrition, engagement, DEI, performance).

• Provide business and people insight and recommendations through metrics, reporting, and variance analysis coming from
  
  

in-depth analysis.

• Translate business problems into analytical frameworks and deliver actionable insights to senior leadership by preparing,
  
  

developing, and analyzing reports and insights through data storytelling on key people priorities using both internal and

external insights.

Data Governance & Infrastructure

• Collaborate with IT and HRIS teams to ensure data integrity, consistency, and security across HR systems.
• Define and implement data governance standards and best practices for people data.
• Review and analyze the effectiveness and efficiency of existing systems and develop strategies for continuous improvement
  
  

or further leveraging these systems within HR.

Stakeholder Engagement

• Serve as a trusted advisor to HR Business Partners and senior leaders, providing consultative support on human capital
  
  

planning, engagement and culture, talent management, and organizational design.

• Present findings and recommendations in a compelling, data-driven narrative tailored to executive audiences.
  
  

Tool Development & Automation

• Analyze and present relevant data in easy-to-understand format/dashboards or file automation to aid timely decision-making, provide insightful discoveries and recommendations, and optimize processes.
• Design and maintain dashboards, scorecards, and self-service tools using platforms such as Power BI, Tableau, or similar.
• Automate recurring reports and analytics processes to improve efficiency and scalability.
• Support the execution of people data requests, from requirement gathering to ideation to solution implementation.
  
  

Capability Building

• Coach HR team members in data literacy and analytics techniques.
• Lead education sessions and workshops to promote a data-informed HR culture.
  
  

Required Knowledge & Skills And/or Related Experience

• Strong analytical and problem-solving skills.
• Preferably 3-5 years of working experience in the related field is required for this position.
• Practical knowledge in importing data for use in reports and dashboards. (eg. Excel, Alteryx Tableau, Power BI, Visier,
  
  

pivots and formulas, graphs, and flow charts)

• Experience in overseeing the design, development, and implementation of data analytics and insights.
• Ability to prioritize and complete tasks.
• Flexible and adaptable to various business models and projects.
• Excellent verbal and written communication skills in English and the language of the supporting market
  
  

Required Abilities

• Data processing, analyzing, synthesizing and data storytelling
• Communication and engagement ability
• Collaboration and influencing without authority
• Agile and continuous improvement mindset
• Project and portfolio management
  
  

Apply nowSeniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Human Resources
• Industries Manufacturing

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