428 People Analytics jobs in Malaysia

Our vision At Rotate, we’re building the go-to team for commercial decision-making tools in the air cargo industry. By combining cutting-edge software with deep industry and strategy consulting expertise, we help global organizations with transforming data into actionable insights for smarter, faster decisions.

What you’ll be doing As an Analytics Engineer at Rotate, you'll help lay the data foundation for our products and client insights. Your role combines elements of data engineering and analysis, focusing on designing, building, and maintaining data infrastructures to enable high-quality, usable data for analysis and decision-making Specifically, you will: · Develop and maintain scalable data models that powers our webapp and analytical tools. · Design and implement data pipelines that ingest and transform large volumes of data from various sources. · Translate business questions into data logic, ensuring products are tailored to client needs. · Work with cloud technologies (e.g., AWS, Databricks) to deploy and manage data infrastructure. · Process and organize both structured and unstructured data, ensuring quality, reliability, and accessibility. · Collaborate with cross-functional teams to plan data architecture and integrate workflows into our broader platform. · Investigate trends, perform ad-hoc analysis, and generate insights that guide client decisions. · Contribute to internal data standards, documentation, and best practices for analytics and engineering.

What you’ll need We value individuals who are confident self-starters and can independently plan, design, code, debug, and test major features. You should be comfortable working in an informal yet professional environment that offers considerable freedom and responsibility. Further you need; A technical/quantitative degree or a similar educational background.

3+ years of experience in extraction, transformation and loading data in a modern data management infrastructure.

Hands-on experience with modern data tools (E.g: Databricks, Airflow or similar)

Proficiency in Python and SQL.

Strong analytical skills and experience delivering insights from data

You are excited about working with the latest technologies in data modelling, data warehousing and cloud technology.

Preferably, you have some knowledge around the Hadoop ecosystem, Databricks and Apache Spark.

You are curious, proactive and feel at ease in an informal and professional setting where you get a lot of freedom and responsibility.

You feel at ease in cross-cultural and multi-disciplinary teams.

You are a resident of Malaysia.

You possess a valid work permit for Malaysia.

Why work at Rotate? We are building a team keen to solve an endless list of complex problems in an exciting industry. Our products will be critical to airlines’ commercial decision-making and will be built from scratch leveraging the latest technology stack. We will tailor your development and career ambitions – ensuring you share in the success. In addition to excellent compensation, we think you’ll be proud and motivated to build a career at Rotate because you will be able to: Build things that matter.

Solve complex problems in a critical industry. Partner with airlines to co-develop data-driven SaaS products with the latest technology stack. Drive efficiency and sustainability in global supply chains.

Write your own story.

Feel like an entrepreneur within a well-funded company and established team. Help us build Rotate and share in our joint success. Partner with us to tailor your development and career ambition.

Live unforgettable experiences . Get exposed to different cultures, go on unforgettable offsites, experience the highs and lows of start-up life…and if you’re keen, travel the world and eat sushi in Tokyo!

Where is the position located? This role is based in our newly established office in Kuala Lumpur, Malaysia. Our Malaysia office specializes in Software Engineering, Data Engineering, and Data Analysis. You will collaborate with talented tech colleagues.

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We are seeking a highly analytical and technically skilled HR Analytics Specialist to join our People team. In this role, you will be instrumental in transforming HR data into actionable insights that drive strategic decision-making. You will be responsible for managing the entire data lifecycle, from collection and cleansing to analysis and visualization, while collaborating with various stakeholders to enhance our HR data capabilities. The job responsibilities are as follow:

Key Responsibilities

• Data Analysis & Visualization: Design, develop, and maintain insightful dashboards and reports to track key HR metrics (e.g., headcount, attrition, recruitment, performance).
• Data Management: Perform data cleansing, data massaging, and transformation to ensure the accuracy, consistency, and reliability of our HR datasets.
• Technical Development: Utilize SQL and Google BigQuery to query and manipulate large datasets. Develop and manage data pipelines and workflows using Google Cloud Composer and other Google Cloud Platform (GCP) tools.
• Stakeholder Collaboration: Partner with internal HR teams and external stakeholders to collect, integrate, and harmonize data from multiple sources.
• Project Management: Lead and manage projects focused on the automation of HR reports and dashboards, improving data infrastructure, reporting efficiency and improving HR processes.
• Advanced Analytics: Apply advanced dashboarding and spreadsheet functions and analysis techniques to provide ad-hoc reports and deeper insights into workforce trends.

Qualifications & Skills:

Required Experience:

• Bachelor's degree in Human Resources, Information Systems, or a related field.
• Proven experience in a data analytics role, preferably within an HR function.
• Strong proficiency in SQL for complex querying and data manipulation.
• Advanced skills in Microsoft Excel , including pivot tables, complex formulas, and data modeling.
• Hands-on experience with Google Cloud Platform (GCP) , specifically Google BigQuery for data warehousing and Google Cloud Composer for workflow orchestration.
• Demonstrated ability in creating dynamic and user-friendly dashboards using tools like Looker Studio, Tableau, or Power BI.

Technical Skills:

• Experience with data cleansing, data massaging, and ETL processes.
• Basic data engineering skills and an understanding of data pipeline architecture.

Soft Skills:

• Excellent communication and interpersonal skills to effectively collaborate with technical and non-technical stakeholders.
• Strong project management and organizational abilities.
• A proactive and detail-oriented approach to problem-solving.

What’s next:

• Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process.
• Should you be shortlisted for the role, we will send you an invitation via email for an interview. You can also check on your application status by logging into your candidate account.

For more job opportunities, please go to HLB Careers:

Seniority level

• Seniority level Associate

Employment type

• Employment type Full-time

Job function

• Job function Human Resources and Analyst

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Get notified about new Human Resources Analytics Specialist jobs in Greater Kuala Lumpur .

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Get AI-powered advice on this job and more exclusive features. We are seeking a highly analytical and technically skilled HR Analytics Specialist to join our People team. In this role, you will be instrumental in transforming HR data into actionable insights that drive strategic decision-making. You will be responsible for managing the entire data lifecycle, from collection and cleansing to analysis and visualization, while collaborating with various stakeholders to enhance our HR data capabilities. The job responsibilities are as follow: Key Responsibilities Data Analysis & Visualization:

Design, develop, and maintain insightful dashboards and reports to track key HR metrics (e.g., headcount, attrition, recruitment, performance). Data Management:

Perform data cleansing, data massaging, and transformation to ensure the accuracy, consistency, and reliability of our HR datasets. Technical Development:

Utilize

SQL

and

Google BigQuery

to query and manipulate large datasets. Develop and manage data pipelines and workflows using

Google Cloud Composer

and other

Google Cloud Platform (GCP)

tools. Stakeholder Collaboration:

Partner with internal HR teams and external stakeholders to collect, integrate, and harmonize data from multiple sources. Project Management:

Lead and manage projects focused on the automation of HR reports and dashboards, improving data infrastructure, reporting efficiency and improving HR processes. Advanced Analytics:

Apply advanced

dashboarding and spreadsheet

functions and analysis techniques to provide ad-hoc reports and deeper insights into workforce trends. Qualifications & Skills: Required Experience: Bachelor's degree in Human Resources, Information Systems, or a related field. Proven experience in a data analytics role, preferably within an HR function. Strong proficiency in

SQL

for complex querying and data manipulation. Advanced skills in

Microsoft Excel , including pivot tables, complex formulas, and data modeling. Hands-on experience with

Google Cloud Platform (GCP) , specifically

Google BigQuery

for data warehousing and

Google Cloud Composer

for workflow orchestration. Demonstrated ability in creating dynamic and user-friendly dashboards using tools like Looker Studio, Tableau, or Power BI. Technical Skills: Experience with data cleansing, data massaging, and ETL processes. Basic data engineering skills and an understanding of data pipeline architecture. Soft Skills: Excellent communication and interpersonal skills to effectively collaborate with technical and non-technical stakeholders. Strong project management and organizational abilities. A proactive and detail-oriented approach to problem-solving. What’s next: Once you’ve applied online, our team will carefully review your application. Due to a high volume of applications, we appreciate your patience to allow for a fair and timely review process. Should you be shortlisted for the role, we will send you an invitation via email for an interview. You can also check on your application status by logging into your candidate account. For more job opportunities, please go to HLB Careers: Seniority level

Seniority level Associate Employment type

Employment type Full-time Job function

Job function Human Resources and Analyst Referrals increase your chances of interviewing at Hong Leong Bank Berhad by 2x Get notified about new Human Resources Analytics Specialist jobs in

Greater Kuala Lumpur . Business Intelligence - General Recruitment (2025 Intake)

Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia 6 days ago Business Intelligence Analyst - ShopeeFood (Fresh Grads are welcome!)

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ROLE PURPOSE

Manage and supervise climate data projects and initiatives which includes advocacy with stakeholders, data sourcing, climate analytics, and contributions to JC3 and NGFS to address the climate and environmental data gaps, for purposes of managing climate and environment-related risks within the Bank and financial sector.

PRINCIPAL ACCOUNTABILITIES

Advocacy

• Stakeholder Engagement: Engage with internal and external stakeholders, including ministries, government agencies, financial institutions, regulators, and industry bodies, to advocate for the importance of open climate data and contribute to improve national climate data compilation.
• Collaboration with Industry Groups: Represent the organisation in industry forums, working groups, and task forces, including JC3 and NGFS, in addressing climate data gaps.

Data Sourcing

• Identification of Data Needs: Identify and prioritise climate and environmental data needs in collaboration with cross-functional teams, focusing on data that is critical for managing climate risks within the financial sector.
• Data Acquisition: Source and acquire relevant climate-related data from various internal and external sources, ensuring data integrity, accuracy, and reliability.
• Data Management: Provide or maintain databases/system that store and process climate-related data, ensuring accessibility to the Bank’s internal users and for Data Catalogue and certain databases, provide access to financial sector

Supports/Collaboration with internal and external stakeholders

• Implementation of Bank’s Policy/Framework - Collaborate and support the line departments in the implementation of the Bank’s policy and framework such as Climate Risk Stress Testing (CRST), Climate Risk Management and Scenario Analysis (CRMSA) and Climate Change and Principle based Taxonomy (CCPT) particularly on the data needs and consultation such as flood modeling GHG emissions mapping.

Climate Analytics

• Plan, manage and execute the development and delivery of climate analytics data products such as libraries and spreadsheet tools (e.g. downscaled version of global climate resources to national level resources, flood maps, sectoral mini database for insurance/takaful, green finance and investment, energy and electricity, correspondence table for related standards such as IPCC and ISIC).
• Plan and drive and execute efforts with line departments on their climate analytical needs, including but not limited to – data understanding (e.g. using machine learning (ML) or natural language processing (NLP) to assess firm’s climate related disclosures), big data processing (e.g. satellite remote sensing), geospatial analytics (e.g. spatial analysis of physical and nature risk) and futuretooling (e.g. tool for physical risk assessment).

Contribution to JC3 and NGFS

• Perform Secretariat role to support JC3 Sub-committee 5 (Bridging Data Gaps) to achieve its mandate to improve climate data availability, accessibility and comparability.
• Develop, maintain JC3 Climate Data Catalogue and carry out outreach programs to create awareness and promote usage.
• Represent the Bank in NGFS data-related initiatives and support Director who is co-chairing the Expert Network on Data.
• Contribute to data-related areas in relevant initiatives, working group, forums on climate change that the Bank organises or has been invited to participate in.

Provide coaching and feedback to staff and identify training opportunities to help them develop their potential and further enhance their productivity. Plan and allocate appropriate resources based on the work volume to ensure fair distribution of work amongst officers in the Unit.

QUALIFICATIONS

• Academic qualifications: Bachelor’s degree in environmental science, Climate Studies, Data Science, Economics, Finance, Statistics or any related field.
• Experience: At least 5 years of working experience in data analytics within the financial sector or related fields.
• Experience in climate risk management, sustainability or environmental policy, climate-related projects or initiatives, particularly those involving data analysis or stakeholder engagement is an advantage.
• A Malaysian candidate.

ONLY SHORTLISTED CANDIDATE(S) WILL BE NOTIFIED

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Director, Portfolio Analytics page is loadedDirector, Portfolio Analytics Apply locations Menara Affin, TRX time type Full time posted on Posted Yesterday time left to apply End Date: September 30, 2025 (30+ days left to apply) job requisition id JR103392Create the future with Affin! You too can make a difference.

We continuously innovate to transform our financial services landscape - making banking better and easier. Join us at AFFIN, where the open minds meet and be inspired by a shared commitment to great work. You too can make a difference.

JOB PURPOSE

• Primary responsibility for managing the credit portfolio and overseeing risk analytics reporting across the group, including Affin Bank Berhad, Affin Islamic Bank Berhad, and Affin Hwang Investment Bank Berhad.

ACCOUNTABILITIES

• Prepare, review, analyze, monitor and report all credit risk positions and credit risk profile on AFFIN Banking Group (ABG) to the Committees.

• Monitor and highlight on Bank performance and lending direction as well as compliance with regulatory and internal tolerance limits.

• Continuously assess, develop and enhance credit risk report for identifying, monitoring and reporting to respective Committees on timely basis.

• Continuously monitor data integrity in banking systems and ensure reliability for effective control and management of risk exposure.

• Stress testing of credit risk portfolio in line with BNM and ICAAP requirements.

• Monitoring and analysis of loan portfolio and asset quality; and highlight risk issues/emerging risk concerns for resolution.

• Other Ad-Hoc tasks assigned by the immediate superior/Head, Group Credit Risk Management/Group Chief Risk Officer (GCRO).

JOB REQUIREMENTS

• Bachelor’s Degree in Finance, Statistics, Accounting or related discipline.

• At least 10 years working experience in banking and risk management.

• Professional credit certification such as CCP/CCE or any relevant certification is an added advantage.

• Good exposure in banking & risk management environment.

• Analytical and self-starter.

• Inclination – with numbers and ability to analyse in depth.

• Sound knowledge of credit policies and procedures.

• Ability to work under pressure to meet deadlines.

• Ability to interact with all levels of people.

• Familiar with BNM’s credit policy & procedures, compliance and regulatory requirements.

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• Support on pricing strategy initiatives by providing recommendations for discussion.
• Drive innovation and propose ideas for profitable growth.
• Build and enhance pricing models and perform analysis.
• Provide input to facilitate product / rate filing submissions to regulator.
• Prepare the necessary rate requirement files for rating engine.
• Support in UAT and subsequent post-deployment checks for products or rate revisions.
• Timely internal BAU reporting and monitoring of Model Loss Ratio.
• Timely regulatory submission.
• Ensure consistency with relevant internal policies and guidelines.

Job Requirement:

• Bachelor's degree holder. Preferable in Actuarial Studies.
• 1-2 years working experiencewill be a plus.
• Fresh graduates are encouraging to apply.
• Competence in MS office (Word/Excel) is essential.

Seniority level

• Seniority level Executive

Employment type

• Employment type Full-time

Job function

• Job function Analyst
• Industries Insurance

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About Us

Procurement Excellence provides leadership, insight, and support to the global procurement function to drive the implementation of next-generation procurement and deliver the company and procurement vision. Our ambition is to build best-in-class, harmonized and flawless practices, tools, and processes to support Procurement Transformation programs and contribute to the top line and bottom line of Dyson.

About The Role

(This role is based in our office in Johor)

Pricing information & Purchasing Information records are the backbone of procurement, and the data are used by the entire Dyson organization. The role is an opportunity is to embark on an exciting and impactful journey to drive transformation and contribute to costs & value chain optimization. In this role, you will lead all operational & strategic activities, process & systems enhancements related to purchasing & pricing data foundation.

Key Accountabilities

• Support operational & strategic billing & pricing cycle activities.
• Troubleshoot and identify root cause of pricing data issue and get it resolved with relevant teams: Procurement, Finance, Logistics, etc.
• Develop and implement strategies to recover costs associated with pricing gaps, such as overpayments or incorrect charges. Communicate effectively with internal and external stakeholders regarding pricing discrepancies and cost recovery efforts.
• Drive & lead enhancement projects to billing & pricing processes to improve efficiency and accuracy. Support future development & evolution of the Purchasing Information Records system.
• Constantly identify and implement, opportunities to upgrade pricing data records and simplify processes & operations.
• Contribute to the Master Data Management initiative by ensuring the consistency, completeness, and correctness of Purchasing Information Records across all systems.
• Leverage Purchasing Information Records to create data intelligence and develop analytics tools that can be used to add value to the top and bottom line.
• Displays strong analytical skills and strategic thinking to translate insights into impactful initiatives within Procurement Operations Excellence.
• Develop a data-driven culture in procurement by educating procurement colleagues and other stakeholders on master data management.
  
  
  

About you

• University degree or Master's degree in Data Science, Computer Science, Information Technology, Finance, Supply chain or other related field.
• Previous Experience/exposure to Finance, Data Analytics or Supply Chain activities
• High level of business and financial acumen
• Willingness to transform, challenge the status quo and resilience in execution
• Excellent project management from strategic thinking to operational execution
• Comfortable in a dynamic, fast-paced, challenging environment
• Analytical and Problem-Solving Skills: Ability to analyze complex data, identify patterns, and resolve intricate issues
• 3 - 5 years in an analytics capacity with experience with Business Intelligence Solutions.
• Proficiency in using relevant systems like ERP, procurement platforms, and database management tools.
• Strong Communication and Influence skills.
• Strong financial & analytical skills
• Fluent oral and written English
  
  
  

Benefits

Dyson monitors the market to ensure competitive salaries and bonuses. Beyond that, you’ll enjoy a transport allowance and comprehensive medical care and insurance. But financial benefits are just the start of a Dyson career. Professional growth, leadership development and new opportunities abound, driven by regular reviews and dynamic workshops. And with a vibrant culture, the latest devices and a relaxed dress code reflecting our engineering spirit, it’s an exciting team environment geared to fuelling and realising ambition.

Dyson is an equal opportunity employer. We know that great minds don’t think alike, and it takes all kinds of minds to make our technology so unique. We welcome applications from all backgrounds and employment decisions are made without regard to race, colour, religion, national or ethnic origin, sex, sexual orientation, gender identity or expression, age, disability, protected veteran status or other any other dimension of diversity.

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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.

1. Understand business challenges and questions
2. Explore data to find patterns and insights, providing recommendations and driving actions
3. Build capability and ensure consistency of insight generation methodologies for Business Analysts in category/ function
4. Enhance visual outputs and light statistical models leveraging global and local data assets, including machine learning capabilities
5. Maintain last mile reporting applications or local data assets
6. Curate local data assets in cataloguing tools
7. Develop exploratory use cases and coordinate with Global hub for scaling
8. Deliver analytics solutions
9. Use analytical techniques to improve customer and consumer experience, generate revenue, increase margins, and reduce operational costs
10. Leverage industrialized analytical models to increase efficiency
11. Support partners in delivering end-to-end business solutions
12. Communicate analytical outputs clearly using visualization techniques
13. Support KPI/PPI discussions based on analytical results
14. Assist in ad-hoc analyses and present findings clearly
15. Evaluate automation versus manual intervention costs in analytical processes
16. Engage stakeholders and promote analytics best practices
17. Identify opportunities to leverage data assets for business solutions
18. Present business recommendations based on analytics
19. Share best practices within the local analytics community
20. Participate in data science community activities

What will make you successful

1. Bachelor’s degree or higher in Engineering, Computer Science, Mathematics, Statistics, or related fields
2. Experience with cloud platforms (Azure, AWS, Google Cloud)
3. Proficiency in programming languages (Python, R, etc.)
4. Experience with data visualization/BI tools (e.g., MS Power BI)
5. Experience developing light analytical models for business problems
6. Knowledge of machine learning algorithms and statistical methods (regression, clustering, decision trees, neural networks, etc.)
7. Familiarity with analytics project methodologies like CRISP-DM
8. Understanding of FMCG/CPG or Retail industry scenarios
9. Strong visualization skills for dashboards, reports, and insights
10. Excellent written and verbal communication skills
11. Ability to communicate complex results to diverse audiences
12. Ability to work independently
13. Openness to working in a global, virtual team environment

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Join to apply for the Cloud Analytics Engineer role at Prudential Services Asia

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Prudential’s purpose is to be partners for every life and protectors for every future. Our purpose encourages everything we do by creating a culture in which diversity is celebrated and inclusion assured, for our people, customers, and partners. We provide a platform for our people to do their best work and make an impact to the business, and we support our people’s career ambitions. We pledge to make Prudential a place where you can Connect, Grow, and Succeed.

This role will be part of Group-Wide Information Security team under Security metrics and Analytics function with primarily responsibility of developing and implementing in-house-driven data analytics and security automation program that are aimed to strengthen the overall information security control capabilities through automated discovery of measurable security risks, automated orchestration of risk reduction exercise and visualization of reduction of risks / risk exposures. The scopes of the automation opportunities cover all aspects of information security such as, but not limited to: data security, vulnerabilities management, network security, threats analysis and software development.

To be successful in this role, candidate must have strong passion in both IT security through automation and Machine learning / data analytics programming using Python, Keras and Tensorflow.

We are seeking a highly motivated Cloud Analytics Engineer to join our Cloud Economics and Intelligence team under Group Technology Infrastructure Engineering organization. This role blends data engineering, analytics, and emerging AI technologies to drive insights and build intelligent systems that optimize cloud investments and business outcomes.

You will work mostly on Azure Data Factory, Azure Databricks-based data pipelines, develop analytical models, and contribute to Gen-AI agentic chatbot / LLM initiatives to improve operational efficiencies and internal use cases.

Key Responsibilities

• Design, build, and optimize data pipelines and analytics workflows using Azure Databricks, Spark, and Delta Lake.
• Develop and operational support of data pipelines, workflows and scheduler, Airflow DAGS, data schemas/tables that feeds into dashboards, reports, and data models to support cloud cost optimization and economic operational stability.
• Collaborate with AI/ML engineers to integrate Gen-AI capabilities into analytics tools and chatbots or forecasting.
• Contribute to the development of agentic AI chatbots for internal use cases (e.g., cloud cost Q&A, forecasting assistants).
• Ensure data quality, governance, and performance across our data pipelines and analytics platform.
• Translate business requirements into scalable data and AI solutions.
  
  
  

Technical Skills

Required Skills & Experience:

• 4+ years of experience in data engineering, data analytics, with at least 2 years in a cloud environment (Azure & GCP).
• Proficiency in Azure Data Factory, Azure Databricks, PySpark, and SQL, GCP Cloud functions, BigQuery.
• Proficiency of CI/CD, version control (GitHub, Azure DevOps), development of best practices, standards, and guidelines.
• Strong programming skills in Python for data extraction, manipulation and automation.
• Experience in the support of containerization services (Kubernetes) and infrastructure provisioning services using Terraform.
• Exposure to Azure bot service, generative AI and agentic chatbot frameworks (e.g. LangChain, Mosaic AI, MS AutoGen)
• Familiarity with LLMs, embeddings, and prompt engineering preferred.
• Familiarity with data visualization tools (e.g. Power BI) and MS Fabric pipelines is a plus
  
  
  

Preferred Qualifications

• Bachelor’s or Master’s degree in Computer Science, Data Science, Engineering, or related field.
• Highly self-driven, demonstrate critical thinking, team player & fast learner.
• Strong analytical/problem solving skills, with the ability to work independently and effectively as a team.
  
  
  

Prudential is an equal opportunity employer. We provide equality of opportunity of benefits for all who apply and who perform work for our organisation irrespective of sex, race, age, ethnic origin, educational, social and cultural background, marital status, pregnancy and maternity, religion or belief, disability or part-time / fixed-term work, or any other status protected by applicable law. We encourage the same standards from our recruitment and third-party suppliers taking into account the context of grade, job and location. We also allow for reasonable adjustments to support people with individual physical or mental health requirements.

Seniority level

• Seniority level Mid-Senior level

Employment type

• Employment type Full-time

Job function

• Job function Information Technology

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