Total 93 job vacancies by NielsenIQ

Responsibilities
• Responsible for month-end close activities, account reconciliations, Preparing & posting of Journals, and allocations,
•  Preparing reconciliations of balance sheet accounts, investigating, and resolving discrepancies as needed,
• Fixed assets (Leases & Intangibles) accounting and reconciliations,
• Posting Bank related Journals, making reconciliations and preparing various reports,
• Review of P2P & O2C accounting, Reconciliations, Journals, and other quality metrices,
• Preparing the financial statements in accordance with local reporting requirements (IFRS/ US GAAP),
• Ensure that country level reporting packs are submitted to the consolidation team on or before the stipulated time with good quality,
• Providing support to the countries for the quality submission of the Reporting pack
• Ensure all the intercompany transactions are eliminated,
• Process intercompany cost allocations and to ensure that all the approved contracts are processed with efficiency and accuracy,
• Preparing intercompany aging report and circulating to the stakeholders,
• Submit the consolidated financials after all eliminations and checks with the corporate team,
• Collecting / Creating the back-up for the all the topside Journals posted,
• Perform checks on the investment that we reported in our books is in line with the audited financials of associates and JVs,
• Support external and internal audits with supporting documentation, archive retrieval, journal walk throughs, and other audit requirements under the supervision of the Operational Controller,
• Maintain internal process documentation to reflect the most up-to-date ways of work,
• Ensure standard operating procedures are operationalized and consistent in both content and format with expectations laid out by Global Financial Controlling,
• Work with Procure to Pay, Order to Cash, Business Finance (FP&A), treasury, Banking and other teams internally on processes and systems,
• Provide support to internal audit for internal control or audit purposes.

A Little bit about you
A Successful Sr. Analyst will achieve a balanced co-ordination and seamless execution of all R2R, intercompany, financial statements preparation activities including group consolidation. He/she will have delivered on all process governance and dashboard. S/he will have met or exceeded expectations of all related metrics / dashboard and ensure solid controls are in place to provide quality pack to the corporate.

Global Snapshots is a core NIQ capability that brings the world’s markets into focus. By integrating data and delivering insights from multiple markets, it enables stakeholders to understand what is happening, why it is happening and what it means next – across categories, channels and geographies.

As part of the Global Snapshots team, you will play a key role in shaping how global and regional market trends are understood and communicated – both internally within NIQ and externally with clients. The role offers opportunities to partner with regional clients and partner with diverse teams to create client impact through insights.

Key Responsibilities

• Deliver high-quality global and regional market snapshots to clients
• Analyze market and category trends across geographies to identify whitespace and growth opportunities
• Ensure consistency and accuracy of data across markets and reporting cycles
• Develop a strong understanding of regional market data setup and nuances for day-to-day work
• Engage client partners to build relationships and ensure they are well supported
• Collaborate with Global Snapshots Delivery Team to ensure seamless data delivery and improve service efficiency
• Partner with local/regional teams on special projects such as presentations, Thought Leadership materials etc

主要な業務内容 

1. POSデータやマーケティングリサーチの集計や分析、ならびにレポートの作成やプレゼンテーションの実施 

1. 営業担当と連携してのクライアントへのサービス提案 

1. 納品物（データベース、レポート）作成 

1. 国内外のオペレーションチームと連携してのプロジェクトコントロール 

1. クライアントからの問い合わせ対応 

1. 新規サービス立ち上げ→サポート 

1. その他営業活動のサポート 

About this job:

Join the Global Planogram Hub and support Category Management consultation and planogram development for global clients.

You will contribute to Category Management engagements by supporting insight generation, conducting data analysis, and creating dashboards to inform client recommendations. In addition, the role will focus on creating and implementing planograms for Space Management Consulting projects using Spaceman, NielsenIQ’s proprietary space management tool, in close collaboration with the Global Markets team.

You will be part of a 3-member team and will report to the Hub Manager, supporting consistent and high-quality project delivery across markets.

Main responsibilities include:

• Conduct data analysis using Excel, Power BI, and other relevant tools to generate insights, ensuring adherence to global standards and quality guidelines.
• Create structured analysis presentations and dashboards to support Category Management (CatMan) recommendations.
• Develop channel- and store-specific planograms using Spaceman, in line with defined business processes, inventory norms, and merchandising standards.
• Evaluate planogram performance and support assessment of impact on sales, profitability, and inventory efficiency, identifying improvement opportunities.
• Provide optimization recommendations and alternative solutions to enhance space utilization, functionality, and financial outcomes.
• Support end-to-end project execution, including timeline tracking, documentation, quality checks, and day-to-day coordination with local and global NielsenIQ teams.

A Little bit about you:

You have a strong interest in understanding retail operations and shopper behavior, and are curious about how data translates into in-store execution. You are comfortable working with large datasets and enjoy deriving insights from analysis.

You bring a strong work ethic, a practical and structured approach to problem-solving, and a genuine willingness to learn. You are reliable and trustworthy, with the ability to deliver consistently, while the remaining technical and functional skills can be further developed through training.

Requirements:

• 2-4 years of relevant work experience, preferably in analytics, category management, space planning, or consulting roles.
• Bachelor’s degree from an accredited university or college; a Master’s degree is preferred. Candidates holding a Bachelor’s degree only must have an additional 2 years of relevant work experience.
• Strong written and verbal communication skills, with the ability to work effectively across teams and geographies.
• Solid logical and analytical thinking skills, with attention to detail and problem‑solving ability.
• Strong expertise in Excel and Power BI is mandatory, with hands-on exposure or readiness to work with VBA, SQL, Python, and other analytical tools.
• Basic project management exposure or skills, including coordination and timeline tracking.
• Prior exposure to space planning or planogramming is an added advantage.
• Experience working with a retailer or manufacturer environment is a plus.
• Understanding of Category Management concepts is beneficial.
• Willingness to work flexible hours, as required to support global project needs.

About NielsenIQ 

NielsenIQ is a global measurement and data analytics company that provides the most complete and trusted view available of consumers and markets worldwide. We provide consumer packaged goods manufacturers and retailers with accurate, actionable information and insights and a complete picture of the complex and changing marketplace that companies need to innovate and grow. Our approach marries proprietary Nielsen data with other data sources to help clients around the world understand what’s happening now, what’s happening next, and how to best act on this knowledge.  We like to be in the middle of the action. That’s why you can find us at work in over 90 countries, covering more than 90% of the world’s population. For more information, visit www.niq.com.

 NielsenIQ is committed to hiring and retaining a diverse workforce. 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.

The Product Design and Enhancement (PDE) team oversees all design-related activities within the Data Science unit at NIQ, establishing the foundation for Retail Index reporting. The principal duties of the PDE Manager for a specific market include:

• Conducting sample design, universe estimation, and other projects related to the Retail Index.
• Identifying quality risks and coordinating solutions.
• Engaging with stakeholders regarding project scope, execution, data exchange, and outcomes.
• Performing expert-level analysis of results and delivering insightful presentations.
• Collaborating effectively in a virtual multi-country environment, necessitating clear communication with colleagues in various countries.
• Utilizing dedicated software along with ad hoc programming and data mining.
• Identifying opportunities for innovation and tool development in a dynamic work environment.
• Analyzing processes within the scope of responsibilities and providing recommendations for improvements.

This Data Operations Analyst is responsible for data input validation and data cleaning focusing on specific industry/category or set of categories (e.g., Beverages, Food, Health and Beauty Products). As a Data Operations Analyst at NielsenIQ, you support the create and deliver client output deliveries in a correct and timely manner.

• Be the contact for commercial queries, leading the resolution in a client-focused and timely manner in cooperation with Client Liaison and Commercial teams. To be able to identify, investigate and coordinate the resolution of data, process or product related queries
• Plan and execute a complex daily personal workload and support to meet departmental and company schedules
• Analyze and identify gaps and areas for improvement in coding, data input validation and client instructions environments (CIP - Consumer Information Platform) and drive the convergence of processes and tools
• Providing accurate and timely feedback to respective country teams, driving SOP and use of best-demonstrated practices
• Working across relevant Operations/Enablement teams to ensure delivery to client expectations and satisfaction
• Operate in a virtual/multi-cultural environment, liaising with stakeholders 

Position Summary
The P2P Associate is responsible for executing day-to-day invoice processing & payment activities with accuracy and timeliness, following defined SOPs and internal controls within the Accounts Payable function.

Key Responsibilities

• Process PO and Non-PO invoices in ERP systems (e.g., SAP)
• Perform basic 3-way matching (PO, invoice, GR)
• Validate invoice details including tax, coding, and approvals
• Route invoices for approval and follow up on pending items
• Maintain accurate documentation and audit trail
• Monitor assigned queues and ensure SLA adherence
• Prepare payment proposals and manage bank uploads
• Escalate exceptions or complex discrepancies
• Perform vendor & GR/IR reconciliations
• Coordinate with internal stakeholders for smooth P2P operations
• Review monthly statements and follow up on pending items

Responsibilities:  

• Produce comprehensive Discover reports for our clients worldwide, which includes gathering and analysing data, ensuring accuracy and relevance, and presenting findings in a clear and actionable format.  

• Collaborate closely with various teams to understand client needs and deliver Discover reports that drive business decisions.  

• Stay updated with industry trends and best practices to continuously enhance the quality of reports.  

Key Duties:  

• Execute, monitor, and continuously improve assigned production tasks, including maintenance and data quality checks.  

• Demonstrate proficiency in PowerQuery (for creating custom excel dashboards for real-time reporting) and Power BI, as these skills are highly advantageous.  

• Understand the regular execution process with thorough attention to detail and identify opportunities for automation and improvement.  

• Maintain the high quality of setups across various markets reported by NielsenIQ and analyse any potential client data concerns.  

• Engage frequently in cross-departmental collaboration as a crucial link in the chain of NielsenIQ activities.  

• Execute production tasks to ensure data accuracy and trend analysis within scheduled deadlines.  

• Investigate data inquiries and challenges in collaboration with local, regional, and offshore teams.  

• Prepare accurate tracking KPIs to monitor and improve quality performance promptly.  

In 100 countries around the world, NielsenIQ provides clients the most complete understanding of how the FMCG market evolves and what consumers buy. As a global leader in measurement and information, we believe providing our clients a precise understanding of the consumer is the key to making the right decisions -- decisions that can lead to profitable growth. At NielsenIQ, we’re always innovating to keep pace with emerging market trends and the increasingly diverse, demanding and connected consumer.

Being a Senior Manager in the Data Science team, you will play a critical role in developing the next generation of retail measurement solutions we offer our clients, powered by algorithms, ML and AI and leveraging large volumes of internal data, client data and third party data.

You’ll be actively participating with other team members in the overall Product creation process. From ideation through Proof Of Concept and experimenting for methodological development, through prototyping and productionalization, to “Go to Market” strategy, you’ll be learning and exploring the newest technologies & applications for data architecture, and data modelling solutions. You will work alongside a group of talented individuals with different areas of expertise including best in class data scientists, product managers, and data collection specialists with the main purpose of accelerating innovation.

On a daily basis you’ll be expected to:

• Work across functions, including with other data scientists specializing it different areas, on various projects, including R&D and automation to solve the business needs of the day
• Translate Clients’ requirements to actionable solutions or products
• Ideate and develop solutions for the product innovation pipeline
• Define the given business problem as a scientific research problem
• Define and own the roadmap of R&D and prototyping solutions
• Research solutions, set and execute experiments, prototype the solution and support Technology team on productionalizing them
• Build statistical and analytical models (including ML/AI approaches) as prototypes and POCs to address specific client business needs
• Test and optimize those models using big data. Fine tune parameters and iterate.
• Document the solution and experimentation to arrive to it, and create specifications for Technology team to productionize it
• Read, write, comment, maintain, and share legible and quality computer code utilized in prototyping and suctioning.

Role requirements:  (E=essential, P=preferred)

• E - Bachelors or Masters degree or higher in Computer Science, Data Science, Statistics, Mathematics, Engineering or related field with requiring outstanding analytical expertise and strong technical background. PhD level in the area is a plus.
• E - 10 years of experience in data science/research
• E - experience in independently leading and owning end-to-end research related projects
• E - Vast knowledge of statistical and machine learning methodologies: Sampling theory, Probability Theory, Variation analysis, Outlier identification techniques, Regressions, Classification, Time series analysis, Clustering, Monte Carlo simulations, Neural Networks, etc.
• E - Proficient in Python and its most common data science libraries.
• E - Experience with cloud computing and storage software, ETL
• E - Ability to lead and influence with other functional areas as a team and deliver results on time and per-spec.
• E – Experience in designing experiments, prototyping as well as supporting pilot programs for R&D purposes.
• P - Domain in managing clients and proven experience of solving complex client requirements.
• P -Strong Communication skills and ability to present and explain methodological and operational solutions to executive leadership.

Job Responsibilities:
As a Data Scientist on our team, you will:

Design and deploy end-to-end machine learning solutions to solve diverse businesschallenges such as:

• Using LLMs to allow users to interact with internal business systems
• Understanding and classifying Product Images
• Structuring and extracting insights from text data
• Inferring product attributes
• Detecting anomalies
• Matching products across catalogs

Maintain and optimize existing models to improve performance and maximize business impact
Collaborate cross-functionally with product managers, data analysts, software engineers, DevOps, and solution architects to translate ideas into scalable solutions
Integrate LLM and ML models into business processes, working closely with multidisciplinary development and business teams
Continuously grow your technical expertise, staying up to date with the latest tools, frameworks, and best practices in data science
Document model development workflows to ensure reproducibility and transparency
Communicate complex technical concepts clearly and effectively to non-technical stakeholders throughout the development lifecycle

Requirements
We’re looking for someone who brings:
Proficiency in Python and its data science ecosystem (e.g., NumPy, pandas, matplotlib,seaborn, scikit-learn, TensorFlow and/or Keras)
At least 1-2 years of hands-on experience in data science roles, with a focus on:

• Natural Language Processing (e.g., categorization, Named Entity Recognition)
• Content Generation (e.g., Using LLMs to create marketing copy)
• Computer Vision (e.g., image classification, object detection)

Proficincy using LLM for multiple tasks, including Image classification, question answer and tool use
Strong coding practices, including writing clean, well-documented, and maintainable code
Experience with version control systems, such as Git
Solid understanding of relational databases and SQL
Excellent communication skills in English, both written and verbal
Proven ability to collaborate and present to stakeholders with varying levels of technical expertise

Nice to Have
Experience with Azure ML Workspace or other cloud-based ML platforms
Experience with LLM tools such as PromptFlow, Microsoft Agent Framework, LangChain, LangGraph
Familiarity with spaCy and Hugging Face Transformers
Experience working with architects, test engineers, platform engineers, and other data scientists in a collaborative environment

• Support team in managing in-market complex customer queries, build apt hypothesis and bring prompt resolution with data support and effective communication.
• Work closely with in-market Consulting, Analytics & Insights team, Operations and Data Science, Global customer Service Centre to ensure all work is connected to client business issues and is delivered according to established timelines and in a way that contributes to driving client outcomes.
• Create an environment to encourage and drive solution mindset and to leverage best practices.
• Enhance servicing efficiencies through planning and execution of client engagement model to attain acceptable client (NPS) satisfaction scores.
• Measure emerging issues and quality trends, flag out areas of improvement on a regular basis, and share with respective teams for improvement.

A Little about You

Curiosity drives your interest in what moves the market. You find potential in percentages. Managing time and deadlines comes naturally to you. You’re known for your impeccable organization. Connecting with key internal stakeholders and clients matters to you, and that motivates you to take initiatives and continue seeking streamlined approach. Embracing utilization of digital and cloud services. You’re always looking for what’s next. 

Objective

To assist with the execution of marketing research studies by compiling, analyzing, and interpreting marketing research data, writing client reports, and constructing presentations.  

Accountabilities          

• Participates in research execution and analysis
• Reviews data for errors and inconsistencies
• Summarizes data for the production of tables, charts, and graphs
• Prepares inputs and runs analysis models
• Develops preliminary insight summaries
• Analyzes in-market data
• Analyzes study results to draft letters, reports, and presentations
• Prepares initial client correspondence
• Attends client meetings and presentations

Qualifications

Knowledge

Required

Knowledge of Microsoft Word, Excel, and PowerPoint

Excellent command of oral and written English

Desired

Interest in research

Skills

Required

Analytical skills

Organizational skills

Oral and written communication skills

Desired

Customer service skills

Multi-tasking skills

The NielsenIQ BASES Practice is a forward-thinking, rapidly growing, market research division of the Nielsen Company. That means we maintain an unbeatable client list, create best-in-class solutions and have access to incredible resources - without sacrificing the benefits of a smaller, leaner, close - knit company. We celebrate curiosity and creativity, and encourage openness and collaboration.  
Through a blend of innovative market research technologies (such as evolutionary algorithms and predictive analytics) and client consulting, we help major consumer products companies dramatically improve their outcomes at every stage of the innovation lifecycle. We identify breakthrough product ideas, messaging that inspire action, fresh package designs and optimal launch strategies. 
We are looking for someone to develop and manage Nielsen BASES business and client relationships by designing, selling, executing, and presenting market research studies to meet clients’ research objectives, and are building a talent pipeline for the same. 

RESPONSIBILITIES:

Client Consulting:

1. Trusted partner: Understand the client needs, deliver with excellence, make an impact

2. Drive client satisfaction by providing insights and actionable recommendations during presentations or business reviews

3. Attend client planning meetings and contribute by providing Nielsen insights and solutions to the client’s business needs.

3. Communication with mid-level clients on their research queries

4. Able to handle presentations with mid level clients or audiences

5. Crisis management: Able to tackle some of the client communication, particularly with mid-level clients.  

6. Taking ownership of project in terms of client relation as well as consulting / partnering with client through the project life cycle  

7. Ensure all presentations done by reports tell a clear story, provide insights and actionable recommendations  
 
Commercial Leadership:

1. Be proactive at collecting client business questions, active listening to understand the question behind the question  

2. Proactively follow-up with the client on proposals, designs, costs

3. Set up action plan, forecast and monitor regularly the revenue   

Project Management:

1. Proactively identify and address client issues and needs.  

2. Stays in loop on all stages of project management and monitors progress  

3. Ensure the services provided to clients are timely and precise according to client business needs and specifications while meeting the company's quality standards  
 
Thought Leadership- Integration:

1. Strengthen category / client knowledge  

2. Develops strategic understanding of industry trends, competition and opportunities of Nielsen  

3. Make an impact for the team / client  
 
A LITTLE BIT ABOUT YOU 
With your critical and strategic thinking abilities, you can create opportunities to better our business. You approach challenges from new angles, discovering unique solutions that are efficient and effective. Intellectual curiosity and persistence to find answers to questions and Ability to autonomously manage simultaneous projects in a fast paced business environment. Exceptional aptitude for data analysis. Ability to work cross-functionally. Strong presentation skills. 

This role is accountable to be able to understand various data sources e.g. Retailer, eCommerce, Activate and Vendor and link with internal NielsenIQ platform. This role requires to provide solutions to improve process quality, understand emerging technologies, standards and best practices in cross platform development. It also requires to demonstrate mastery in applying concepts, and methodologies to innovative solutions.

Job Responsibilities

- Work closely with Architectures/Technology, Platform Leader and Clients on designing standard Operational solution for various cloud/non-cloud technologies on ways of managing data

- Continuously discover, evaluate, and implement new technologies and frameworks to maximize efficiency

- Handle large data sets with exposure to multiple formats and Tlog/non-Tlog data.

- Ability to extract, transform, load, and clean large data sets from multiple sources.

- Familiarity with managing, querying, and aggregating large data sets.

- Execute tasks on Ingestion platform

- Utilize SQL and Python for data processing

- Process data in the Ingestion engine

- Manage small to medium transformation projects independently

As a Data Operations Analyst, you will support the Business as Usual (BAU) production processes within the Market Insight (MI) team. Your responsibilities will include learning and executing tasks related to client deliverables, product coding, data input validation and Quality Checks with a focus on specific industries or categories. You will work closely with internal and external stakeholders to apply requested changes, ensure timely and accurate data delivery, and investigate root causes of any data-related issues.

Key Responsibilities:

• Ensure data integrity throughout the data processing lifecycle.
• Verify the accuracy and validity of processed data.
• Assist in resolving quality issues raised by local operations, statistic operations, and performance excellence teams.
• Adhere to regional and global standards consistently.
• Communicate effectively with stakeholders to:
  • Understand and implement requested data changes.
  • Raise queries and clarify data-related concerns.
• Maintain positive working relationships and open communication across relevant operations teams to meet client expectations.
• Ensure timely delivery of data outputs in line with service level agreements (SLAs).
• Conduct and document Root Cause Analysis (RCA) for any data errors or delivery issues.
• Maintain clear and structured documentation of processes, findings, and resolutions.

Required Skills & Competencies:

• Strong observation skills to identify product features and anomalies.
• Basic understanding of electronic product categorization, coding logic, and market dynamics.
• High attention to detail, especially during price and data validation checks.
• Proactive approach to problem-solving and issue resolution.
• Proficient in using internet search tools for product research and analysis.
• Strong interpersonal and collaboration skills to work effectively within a larger team and with stakeholders.

Education:

• Graduation is mandatory for this role.