What Jobs are available for Statistical Software in Malaysia?
Showing 408 Statistical Software jobs in Malaysia
Data Science Analyst
Posted 2 days ago
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Job Description
- Applies statistical design and methodology to meet client information needs, conducts statistical analyses to derive conclusions from the study and assists in preparing written summaries of study results.
- Works as part of a team in preparing analysis plans and statistical reports and performs validation of statistical analysis.
- Works on projects of limited scope within defined procedures and practices.
**Qualifications**
- Bachelor's Degree Statistics, Mathematics, Data Science, or related field
- Two (2) years of experience in operations research, market research, or applied statistics
- Technical knowledge/skills include: regression analysis, sampling, and basic knowledge of SAS/Python programming. Basic understanding of statistical and machine learning models.
- Ability to carry out moderate analysis and information gathering to resolve problems on non-routine matters.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.
To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us.
EEO Minorities/Females/Protected Veterans/Disabled
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Manager, Data Science
Posted today
Job Viewed
Job Description
Visa is a world leader in payments and technology, with over 259 billion payments transactions flowing safely between consumers, merchants, financial institutions, and government entities in more than 200 countries and territories each year. Our mission is to connect the world through the most innovative, convenient, reliable, and secure payments network, enabling individuals, businesses, and economies to thrive while driven by a common purpose – to uplift everyone, everywhere by being the best way to pay and be paid. Make an impact with a purpose-driven industry leader. Join us today and experience Life at Visa. Job Description
Visa Consulting and Analytics (VCA) is the consulting arm of Visa, and drives tangible, impactful results for clients. Drawing on our expertise in consulting, data analytics, technology, payments and economics, VCA solves the most strategic problems for our clients. VCA's core client segments include issuers, acquirers, merchants, fintechs, payment enablers and governments. The Intelligence & Data Solutions (IDS) team at VCA consists of data scientists, analysts, and engineers who provide analytics solutions. Their goal is to leverage VisaNet, one of the largest datasets globally, to help clients enhance their performance and increase profitability. Specific Responsibilities include Lead, execute, and deliver data science projects for Visa's key clients. Develop project scopes, methodologies, and implement solutions using appropriate tools. Analyze data using statistical software like Python or R. Extract and aggregate data from large data sets using SQL, Hive, Spark or other tools. Maintain quality control and documentation for projects. Innovate with Visa's and client data to meet needs. Enhance techniques by promoting new methodologies. Foster thought leadership and innovation in data science. Manage communication with clients and stakeholders. Mentor and supervise data scientists in the team. Deliver analytics projects providing actionable insights. Identify opportunities for innovation using new techniques. Manage stakeholders effectively. Build visualization capabilities to address client problems. Identify market trends through deep analysis of payment industry information. Perform client-specific analysis on portfolio data. Manage the transfer of technical knowledge for business solution implementation. This is a hybrid position. Expectation of days in office will be confirmed by your hiring manager. Qualifications
8+ or more years of relevant work experience with a Bachelor's Degree or at least 4 years of work experience with an Advanced degree (e.g. Masters, PhD) Extensive experience working with or on the following items: Advanced M/L, D/L algorithms, and Generative A.I. Extracting and aggregating data from large sets using SQL/Hive or Spark. Analyzing large datasets with Python, R, SQL, or Spark. Creating visual insights using software such as Tableau and Power BI. Communicating data-driven insights and recommendations. Building predictive and descriptive models with various tools. Performing data mining and statistical modeling. Prior experience in financial services is a plus. Working with and engaging business stakeholders - both internally and/or externally (e.g. clients / partners etc.). Additional Information
Visa is an EEO Employer. Qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability or protected veteran status. Visa will also consider for employment qualified applicants with criminal histories in a manner consistent with EEOC guidelines and applicable local law.
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Data Science Analyst
Posted 1 day ago
Job Viewed
Job Description
Wilayah Persekutuan Kuala Lumpur, Malaysiatime type:
Full timeposted on:
Posted Todayjob requisition id:
R • Provides statistical methodology support in the delivery of standard and custom studies.
• Applies statistical design and methodology to meet client information needs, conducts statistical analyses to derive conclusions from the study and assists in preparing written summaries of study results.
• Works as part of a team in preparing analysis plans and statistical reports and performs validation of statistical analysis.
• Works on projects of limited scope within defined procedures and practices.
**Qualifications**• Bachelor's Degree Statistics, Mathematics, Data Science, or related field
• Two (2) years of experience in operations research, market research, or applied statistics
• Technical knowledge/skills include: regression analysis, sampling, and basic knowledge of SAS/Python programming. Basic understanding of statistical and machine learning models.• Ability to carry out moderate analysis and information gathering to resolve problems on non-routine matters.IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more atIQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create connections that accelerate the development and commercialization of innovative medical treatments. Everything we do is part of a journey to improve patient outcomes and population health worldwide.To get there, we seek out diverse talent with curious minds and a relentless commitment to innovation and impact. No matter your role, everyone at IQVIA contributes to our shared goal of helping customers improve the lives of patients everywhere. Thank you for your interest in growing your career with us. #J-18808-Ljbffr
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Data Science Analyst
Posted 1 day ago
Job Viewed
Job Description
Provides statistical methodology support in the delivery of standard and custom studies.
Applies statistical design and methodology to meet client information needs, conducts statistical analyses to derive conclusions from the study and assists in preparing written summaries of study results.
Works as part of a team in preparing analysis plans and statistical reports and performs validation of statistical analysis.
Works on projects of limited scope within defined procedures and practices.
Qualifications
Bachelor's Degree in Statistics, Mathematics, Data Science, or related field.
Two (2) years of experience in operations research, market research, or applied statistics.
Technical knowledge/skills include: regression analysis, sampling, and basic knowledge of SAS/Python programming. Basic understanding of statistical and machine learning models.
Ability to carry out moderate analysis and information gathering to resolve problems on non-routine matters.
IQVIA is a leading global provider of clinical research services, commercial insights and healthcare intelligence to the life sciences and healthcare industries. We create intelligent connections to accelerate the development and commercialization of innovative medical treatments to help improve patient outcomes and population health worldwide. Learn more at
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Data Science Engineer
Posted 1 day ago
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Job Description
Responsible to work closely with business operations to understand business reporting requirement.
Responsible in data mining, data analysis & generate dashboard reporting using BI software.
Responsible/Assist in data ETL automation and deployment of query scripts.
Responsible in communicating/publishing data analytics findings/results/reports to stakeholders.
Responsible in technical write-up such as technical proposal, system application documentation.
Skills / Qualifications
Excellent statistical/analytical and problem-solving skill, attention to detail and accuracy.
High degree of comfort with large data sets, finding insights in unstructured data, and rapidly evolving project focus.
Strong programming skill in SQL Database, Power BI, Tableau or other BI/Data visualization software, Advance Excel to deliver analytics insights.
Software knowledge in Python, R, C# etc will be an added advantage.
Strong communication skills, both written and verbal.
Good team player, self-motivated and capable to work independently with minimal supervision.
Self-started, keen and willing to learn new knowledge.
Working Conditions
This role is 100% onsite
Culture Commitment Ensure adherence to company’s values (ICARE) in all aspects of your position at Coherent Corp.:
I ntegrity – Create an Environment of Trust
C ollaboration – Innovate Through the Sharing of Ideas
A ccountability – Own the Process and the Outcome
R espect – Recognize the Value in Everyone
E nthusiasm – Find a Sense of Purpose in Work
Coherent Corp. is an equal opportunity/affirmative action employer. All qualified applicants will receive consideration for employment without regard to sex, gender identity, sexual orientation, race, color, religion, national origin, disability, protected Veteran status, age, or any other characteristic protected by law.
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Data Science, Principal
Posted 2 days ago
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Job Description
This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth. At AIA we’ve started an exciting movement to create a healthier, more sustainable future for everyone. We’re transforming to be faster, simpler and more connected to develop digital solutions and experiences that help more people live Healthier, Longer, Better Lives. We seek people with tech/digital/analytics expertise and passion to help develop positive, sustainable change through digitally enhanced experiences that will impact the lives of millions. If you believe in developing a better tomorrow, read on. About the Role
This role is responsible for establishing and leading a high-performing analytics function that supports AIA’s strategic goals and business growth. Responsibilities
To create the data science approach and roadmap to support the long-term and short-term business needs. To partner with the Insights team to ensure that the data science team delivers against the analytics workplan in a timely manner with brilliant quality work. To take a hands-on approach as the analytics technical expert, using large data sets and applying a variety of machine learning methodologies/algorithms and Generative/Cognitive AI (e.g. deep learning, NLP, image recognition, text recognition, chatbots, robotics, etc.) with different data tools to develop models, run simulations, and drive tangible business outcomes. To act as an analytics consultant for business stakeholders and a coach for team members, recommending and delivering creative analytics solutions for continuous improvement and solving business questions. To collaborate with potential partner(s)/vendor(s) or internal teams to develop efficient prototypes, assess AI solutions, provide feedback, identify areas for improvement, and finalize designs to automate or streamline operations within the Company. To apply MLOps and uphold high ethical standards when implementing machine learning models and AI solutions. To implement and manage a high standard of procedural documentation. To research and experiment with creative and advanced machine learning techniques and tools. To drive the collection of new data and the refinement of existing data sources. To possess strong stakeholder management and communication skills, with experience working with senior leadership teams and EXCO members. Job Requirements
Bachelor’s or Master’s Degree in a relevant field of study is required. Minimum of 5 years of relevant working experience. Expertise in programming-based analytics, with experience in at least two of the following languages: SQL (mandatory), R, Python, SAS. Proven experience in building statistical models, segmentation, predictive and propensity models (e.g. clustering, logistic regression, predictive models, conceptual modeling, hypothesis testing). Good understanding of machine learning algorithm design principles. Good understanding of machine learning model management practices. Ability to work in a fast-paced, multidisciplinary, and competitive environment. Strong analytical, problem-solving, deductive reasoning, and critical thinking skills. Ability to collaborate effectively with other teams to drive positive outcomes. Strong project management skills and ability to manage multiple priorities. Added advantage if the candidate has completed machine learning or data science courses on platforms such as Udacity or Coursera. Strong sense of urgency and accountability to drive business outcomes. Experience in developing Generative AI solutions and working with Large Language Models (LLMs) is a plus. Build a career with us as we help our customers and the community live Healthier, Longer, Better Lives. You must provide all requested information, including Personal Data, to be considered for this career opportunity. Failure to provide such information may influence the processing and outcome of your application. You are responsible for ensuring that the information you submit is accurate and up-to-date. Company Benefits
We offer a range of wellbeing tools and programmes to help you think well, feel well, plan well and live well. Opportunities for career growth
With our diverse up-skilling, mentorship, job mobility and career experiences, we will help shape your career, your way. Diverse team culture
It's our differences that make us better together. We empower you to be your best and make a difference in your own unique ways. Do you believe in helping shape a better, more sustainable future? As the largest listed company on the Hong Kong Stock Exchange, we've been proudly making a difference for people and communities across Asia for over a century. And we build on this every day with our ambition to engage one billion people to live Healthier, Longer, Better Lives by 2030.
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Engineer, Data Science
Posted 7 days ago
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Job Description
To ensure that data-driven decisions are possible to improve product quality, performance, and cost during the product development and NPI phase. Set up automated data acquisition and data extraction. Develop tools to verify data integrity. Responsible for continuous data quality improvements. In charge of data mining and data analytics. Develop data science solutions using statistical and machine learning techniques. Apply statistical methods to detect anomalies, trends, and shifts. Your Profile
BSc/MSC/Ph.D Degree in Mathematics, Computer Science, Information Technology, Physics, or Engineering. At least 5 years of experience in the field of data analytics, data mining. Technical expert in data analytics and data mining. Proficient in Python and SQL languages. Experienced with statistical modeling and data mining techniques. Strong problem-solving skills with the ability to multi-task and manage multiple projects simultaneously. Your Benefits
SCHOTT’s openness to promote your further development is just as great as our additional benefits. Ranging from active health management via flexible working hours and hybrid work all the way to corporate pension plans: everything geared to suit your goals and needs. Discover a special corporate culture where everyone has the opportunity to develop their entire potential. At SCHOTT, you can expect a unique corporate culture where we emphasize equity, diversity, and inclusion. We know: motivated and committed employees are the precondition for the success of our company. Multiple career opportunities; Medical, Dental, and Vision coverage; Talent development; Team Events. Contact Us
Please feel free to contact us. You can expect interesting tasks and challenging projects, as well as motivated and friendly teams in fields that influence our future. Do you want to be successful with us? Then, please send us your application: SCHOTT Glass (Malaysia) Sdn. Bhd., Human Resources, Wendy Wang . *At SCHOTT, it’s your personality that counts – not your gender, identity, or origin.
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Data Science Specialist
Posted 14 days ago
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Job Description
Data Science Specialist EY’s AI & Data team is growing and seeking exceptional talent at multiple levels – from
Senior Associate
to
Senior Managers
– to help shape the future of data science and artificial intelligence in business. As part of our dynamic, multidisciplinary team, you’ll be instrumental in designing and implementing AI-driven solutions, including
Generative AI (GenAI) , for clients across industries. Whether you are a technical expert or a strategic leader, this role offers the opportunity to drive innovation, create real-world impact, and build the future of intelligent enterprises.
We are seeking individuals who are passionate about solving complex business problems using AI/ML, including GenAI, and who are experienced in leading data science engagements from strategy to implementation. This is a full‑time basis role and is based in our Kuala Lumpur, Malaysia office
Key Responsibilities
Lead the delivery of end‑to‑end data science projects, including data acquisition, feature engineering, modeling, evaluation, and deployment.
Collaborate with stakeholders to understand business problems and translate them into analytical solutions.
Design and develop machine learning models, including generative models such as LLMs (e.g., GPT, Claude, LLaMA) for applications like text summarization, content generation, document intelligence, and chatbots.
Guide clients in the adoption of AI/ML strategies, including the responsible use of GenAI in business processes.
Build and manage reusable ML pipelines and support MLOps practices to operationalize models.
Mentor junior data scientists and contribute to capability building within the team.
Stay current with developments in AI/ML and GenAI technologies, tools, and best practices.
Present findings and insights in a clear, compelling way to business and technical audiences.
Skills and Attributes for Success
Strong analytical and problem‑solving skills with the ability to think strategically and act tactically.
Proficiency in Python or R, with hands‑on experience using libraries such as Scikit‑learn, PyTorch, TensorFlow, and Hugging Face Transformers.
Experience building and fine‑tuning GenAI models using frameworks like LangChain, LlamaIndex, or integrating APIs from OpenAI, Azure OpenAI, or other foundation model providers.
Solid understanding of NLP, deep learning, and data modeling techniques.
Familiarity with cloud platforms (Azure, AWS, GCP) and containerized deployments (Docker, Kubernetes).
Excellent communication and stakeholder engagement skills.
To qualify for the role, you must have
A Bachelor’s or Master’s degree in Data Science, Computer Science, Engineering, Statistics, Mathematics, or a related field. A PhD is a plus.
For
Senior Associate : Minimum 2+ years of hands‑on experience in data science or AI projects.
For
Manager to Senior Managers : 6+ years of experience, with a proven track record of project leadership, client engagement, and team management.
Demonstrated experience applying both traditional ML and GenAI in real‑world business use cases.
Experience working with large language models (LLMs) and/or vector databases is a strong advantage.
Ideally, you’ll also have
Certifications in AI/ML (e.g., Azure AI Engineer Associate, AWS Machine Learning Specialty).
Experience with responsible AI practices, explainability, and AI ethics.
Previous consulting or client‑facing experience, ideally in cross‑industry engagements.
What we look for
Experience in engaging with both technical and non‑technical stakeholders
Strong consulting experience and background, including engaging directly with clients
Team management on Advanced Analytics, Business Intelligence, Data Warehousing, Big Data projects
What we offer EY offers a competitive remuneration package commensurate with your work experience where you’ll be rewarded for your individual and team performance. We are committed to being an inclusive employer and are happy to consider flexible working arrangements, where this may be needed, guided by our FWA Policy.
Plus, we offer:
Continuous learning:
You’ll develop the mindset and skills to navigate whatever comes next.
Success as defined by you:
We’ll provide the tools and flexibility, so you can make a meaningful impact, your way.
Transformative leadership:
We’ll give you the insights, coaching and confidence to be the leader the world needs.
Diverse and inclusive culture:
You’ll be embraced for who you are and empowered to use your voice to help others find theirs.
If you can demonstrate that you meet the criteria above, please contact us as soon as possible.
The exceptional EY experience. It’s yours to build.
Apply now.
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Data Science Executive
Posted 16 days ago
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Job Description
Own Data Science solutions for client requests and provide initial recommendations for complex client raised issues. Support Internal and External Clients with the understanding of Data Science design and methodology. Accompanied senior leaders meet with clients to understand business needs and help offer innovative solutions. Work on creating new solutions use cases, proof of concept and prototypes by exploring diverse data sets using tools such as Python. Understand Nielsen products and services to suggest new solutions for client challenges. Collaborate with other Data Science team units. Automate and develop solutions for existing processes. Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. Qualifications
About you You’ve dabbled in data. You’ve perused Python. And you have the communication chops to translate it all into conversation or presentations. While you’ve worked with global cross-functional teams, you can also put your head down and focus on independent projects. Seeing the big picture takes attention to detail. You know what’s happening in big data and you’re ready to influence what’s next. Qualifications Professionals with degrees (either Bachelor/Master) in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets. Fresh grad / 1 year of experience in market research or relevant fields, however, open for fresh graduate. Intermediate levels proficiency with Python Implementation experiences on automation of processes Problem-Solving skills Ability to effectively convey complex concepts to non-experts Intellectual curiosity and persistence to find answers to questions Eager to continuously learn and adapt to changing technologies and tools. Good command of written and spoken English. Good collaborative and interpersonal skills to communicate at all levels. Working knowledge with collaboration tools such as Microsoft Office (Word, Outlook, PowerPoint, Excel, Power BI) Good to Have Knowledge of Machine Learning /Web scrapping Working knowledge with data visualization tools (e.g., PowerBi) and mapping tools. Up to date with technology and active user of eCommerce platforms Familiarity with Atlassian, Git, Bitbucket and Confluence Familiarity with marketing analytics, including designing experiments and consumer behavior analysis. Additional Information
Benefits: • Exciting work environment that brings people together. • Use the latest digital technologies. • Ongoing trainings to support your development. • Opportunities for personal and professional growth. • Great compensation linked to individual performance and company results. • Hybrid work Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:
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MANAGER, DATA SCIENCE
Posted 16 days ago
Job Viewed
Job Description
Own Data Science for a specific-market/industry on new and already established products, services and design. Be a Data Science business partner for country / cluster leaders, commercial, product, and technology leaders to achieve country specific goals including revenue and EBITDA and other objectives. Regularly meet directly with clients to understand strategic business needs, translate them into analytical strategies and offer innovative solutions driven through state of the art methodologies in Data Science. Support Client and Commercial teams with Data Science design and methodological questions. Play a leading role in the application of data and analytics strategies in support of clients’ business needs. Innovate and create out of the box solutions by leveraging large and diverse data sets and state of the art technologies. Collaborate and align with other Data Science team units to deliver and prioritize objectives. Enable Data Science technology solutions on the ground and ensure solutions meets client needs. Contribute to identifying third parties and evaluate their capabilities and data sets in order to develop new solutions. Design and conduct studies, tests and use advanced analytics techniques to build proof of concept and prototypes for use cases. Enable your team to focus on innovation and contribute to the company's objectives. Coach and develop junior data scientists. Lead the team and provide performance objectives. Qualifications
Professionals with degrees in Maths, Data Science, Statistics, or related fields involving statistical analysis of large data sets. 5+ years of experience in market research or relevant field Solid understanding of CPG/FMCG Industry and Retail market impact on client’s business within the market. Work experience on eCommerce, webscraping solutions, consumer sourced data solutions is preferred Soft skills qualifications:
Passionate about innovation and technology Experienced connecting with stakeholders and clients proactively, finding ways to link client's needs with the business. Innovative mindset, creativity, thinking out-of-the-box. Good ability to effectively convey complex concepts to non-experts. Strong Problem-Solving skills Intellectual curiosity and persistence to find answers to questions. Great collaborative and interpersonal skills to communicate at all levels. Ability to set priorities. Good leadership skills. Business acumen, consultative skills and empathy for clients. Great command of written and spoken English Eager to continuously learn and adapt to changing technologies and tools. Good ability to make decisions and successfully manage multiple assignments concurrently in a high pressure environment.
Good people management skills and coaching. Analytical and Technical skills:
Solid understanding of Statistics Strong aptitude for data analysis. Solid critical/ logical thinking. Business acumen, finance and budgeting knowledge Knowledge / familiarity on data visualization tools (e.g. Spotfire, Tableau, etc) and programming languages (Python, R), preferred.
Additional Information
Exciting work environment that brings people together. Use the latest digital technologies. Ongoing trainings to support your development. Opportunities for personal and professional growth. Hybrid work Our Benefits Flexible working environment Volunteer time off LinkedIn Learning Employee-Assistance-Program (EAP) About NIQ NIQ is the world’s leading consumer intelligence company, delivering the most complete understanding of consumer buying behavior and revealing new pathways to growth. In 2023, NIQ combined with GfK, bringing together the two industry leaders with unparalleled global reach. With a holistic retail read and the most comprehensive consumer insights—delivered with advanced analytics through state-of-the-art platforms—NIQ delivers the Full View. NIQ is an Advent International portfolio company with operations in 100+ markets, covering more than 90% of the world’s population. For more information, visit NIQ.com Want to keep up with our latest updates? Follow us on: LinkedIn | Instagram | Twitter | Facebook Our commitment to Diversity, Equity, and Inclusion NIQ is committed to reflecting the diversity of the clients, communities, and markets we measure within our own workforce. We exist to count everyone and are on a mission to systematically embed inclusion and diversity into all aspects of our workforce, measurement, and products. We enthusiastically invite candidates who share that mission to join us. We are proud to be an Equal Opportunity/Affirmative Action-Employer, making decisions without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, genetics, disability status, age, marital status, protected veteran status or any other protected class. Our global non-discrimination policy covers these protected classes in every market in which we do business worldwide. Learn more about how we are driving diversity and inclusion in everything we do by visiting the NIQ News Center:
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