Total 74 job vacancies by NielsenIQ

Senior Engineer, Cyber – Product Security

NielsenIQ is maturing its Application Security programs and is recruiting an Application Security Engineer who will be responsible for supporting the rollout of DevSecOps capabilities and practises across all geographies and business units.  

As the Application Security Engineer, you will be responsible for integration, maintenance and analyses of the tools and technologies used in securing NIQ products/application throughout their development. You will oversee application security capabilities within a multi-national matrixed environment. The application security engineer will have the opportunity to replace the current Static and Dynamic Application Security Tool and advocate for the tech stack used for monitoring. 

This position will involve working closely with development/engineering teams, business units, technical and non-technical stakeholders, educating them and driving the adoption and maturity of the NIQ’s Product & Application Security programs. 

Responsibilities  

• Collaborate within Product Security Engineering and Cybersecurity teams to support delivery of its strategic initiatives. 
• Work with engineering teams (Developers, SREs & QAs) to ensure that products are secure on delivery and implement provided security capabilities. 
• Actively contribute to building and maintaining Product Security team security tools and services, including integrations security tools in the CI/CD process 
• Report on security key performance indicators (KPIs) to drive improvements across engineering teams’ security posture. 
• Contribute to Product Security Engineering team security education program and become an advocate within the organization’s DevSecOps and application security community of practice. 
• Review IaaS / PaaS architecture roadmaps for the cloud to and recommend baseline security controls and hardening requirements, supporting threat modelling of NIQ’s products. 

Position Summary:

The Finance Planning and Analyst (FP&A) at NielsenIQ is a key member of the FP&A Hub team, responsible for supporting the local team in managing financial planning processes. This role involves integrating and developing financial processes that align with both revenue and expense goals, participating in strategic planning, and contributing to global and local strategies. The FP&A team is a dynamic group of young professionals eager to learn, collaborate, and add value to the company. The successful candidate will demonstrate proactive collaboration with peers and leaders and contribute their analytical expertise to drive financial success.

Key Responsibilities:

• Revenue Management and Forecasting: Support local countries' client teams with revenue management and forecasting, including managing weekly pacing updates.
• Variance Analysis: Contribute to monthly variance analysis to identify and explain financial performance deviations.
• SIP Payment Review: Ensure SIP payment information aligns with agreed-upon data.
• Expense Budget Management: Manage expense budgets and ensure leaders remain on plan.
• Headcount Forecasting: Prepare and track headcount forecast dashboards.
• Strategic Planning: Meaningfully contribute to the preparation of the Three-Year Plan, Annual Operating Budget, and Quarterly targets.
• P&L Reporting: Consolidate, analyze, and report P&L, including commercial and PTO expenses.
• Reporting and Analysis: Prepare reports and crib notes for quarterly Op Reviews and F Cycles.
• Special Projects: Support special projects to drive exceptional revenue growth across the LATAM and Global teams.
• Financial Process Integration: Develop and implement financial processes that meet revenue and expense needs, ensuring alignment with global and local strategies.
• Collaboration: Work closely with peers, leaders, and other functional areas to gather necessary data and provide financial insights.
• Continuous Improvement: Identify opportunities for process improvements and efficiencies within financial planning and analysis activities.
• Compliance: Ensure all financial activities comply with internal policies and external regulations.

Key Responsibilities:
 
• Model Development: Design, develop, and fine-tune Machine Learning Models
• Generative AI: Implement Generative AI use cases using frameworks like LangChain, AutoGen, CrewAI etc
• Research: Conduct research to advance the state-of-the-art in generative AI, including exploring new algorithms, techniques, and tools.
• Collaboration: Work along with Seniors and Stake holders to capture the requirements and execute it in Agile methodology.
• Documentation: Maintain comprehensive documentation of models, experiments, and findings to facilitate knowledge sharing and reproducibility.
• Stay Updated: Keep abreast of the latest developments in the field of AI and machine learning and apply this knowledge to current projects.

ABOUT THIS JOB 

We won’t say we can predict the future, but our team of Market Research Analysts gets pretty close. This role combines data analysis and client consultation from the start, with plenty of room for growth. You find the stories behind scatter plots and help clients determine which products to launch. Your insights will influence decisions for some of today’s leading global companies. 

RESPONSIBILITIES

·   Managing clients and their respective projects custom research team in matters of market research based on experience in the Technology & telecommunications, FMCG industry,.

·  Reporting to a project lead, you will be responsible for the successful execution of customized quantitative studies, including project costing, questionnaire design, project management and execution, analysis and report writing.  

Client Management  

· Managing clients and their respective projects from beginning to end, including making actionable recommendations to support key business objectives  

· Consistently exceeding client expectations from project inception through completion  

Project Management  

· Successfully manage multiple projects simultaneously, all in different design/analysis stages  

· Proactively anticipating, troubleshooting, overcoming, and/or escalating challenges to your project lead in a timely manner  

· Coordinating project task activities between your project team and internal support/operations team(s)  

· Consulting (Questionnaire Design, Analysis, Reporting & Writing)  

· Assist in the development of strong and captivating proposals to meet client needs, based on short research briefs and/or elaborate RFPs; including assisting with costing structure, methodological design, analytical framework, etc.  

· Designing questionnaires/focus group screeners/interview guides to meet the specific or unique client objectives  

·Synthesis and communication of both primary and secondary research findings into actionable insights according to the client’s objectives  

· Full reporting and analysis (via PowerPoint): Interpreting and analysing multivariate data, drawing insightful conclusions and providing recommendations, where applicable.  

· Provide "in office" research, administrative and operational support to senior staff  

· Be directly accountable for work conducted for their nominated clients in terms of analyses, charting, etc and perform quality checks on all reports for alignment to request accuracy and correctness  

A LITTLE BIT ABOUT YOU 

 Experience in Primary Quantitative Market Research with practical knowledge of research methodologies 

· Proactive 

· Strong interpersonal skills 

· Very Good Influencing & Persuading Skills 

The Data Operations Analyst  is responsible of reformatting the retailer and vendor input files, validations, outlier checks and sending the deliverables to the next workstream in a correct and timely manner.  

• Be the contact for questionable sales and stores trend, leading the resolution in a client-focused and timely manner in cooperation with Input Validation, Retailer Vertical/ Retailer Engagement team and other downstream functions. To be able to identify, investigate and coordinate the resolution of data, process, or product related queries 
• Plan and execute complex daily personal workload and support to meet departmental and company schedules 
• Analyze and identify gaps and areas for improvement in reformatting and validations environment (CIP – Consumer Information platform) and drive 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 and colleagues

The SA&I Commercial team at NIQ/GfK is dedicated to driving revenue growth, expanding market presence, and uncovering new business opportunities. 

As the growth engine of NIQ/GfK, the Sales function plays a critical role in the company’s overall success. 

In this role, you will be responsible for leading sales and renewals within your assigned portfolio—building a healthy and sustainable pipeline, identifying and developing new revenue streams, and strengthening relationships with existing clients. 

While the primary focus will be on the Finance and Tech & Durables sector, the scope of the role might extend to a few new sectors to expand. 

In your role, you would:   

• Drive sales and renewals for existing accounts for own Consumer Behavior Insights + Brand (CBI+B) scope securing pipeline, new revenue opportunities and an accurate forecasting while maintaining customer relationships  
• Develop a complete and interconnected understanding of customer's industry/business/markets/clusters  
• Partner with Customer Success and other relevant teams (e.g. Retail Measurement, Retailer + Tech & Durables Account Leaders) to develop and execute Account Plans and JBPs  
• Working with Customer Success teams to ensure client satisfaction
• Collect, analyze, act-on Voice of Customer feedback  
• Expand customer network to identify new budget holders  
• Escalate product needs and trends related to Consumer Behaviour Insights and Brand (CBI+B) products and solutions  

About you  

You are a high-performing deal maker with a growth mindset of revenue targets. You know how to build and promote strong long-lasting client relationships. You work with passion on sales opportunities, are energized by accelerating sales, uncovering opportunities, and exceeding targets. A deep understanding of the market landscape, our CBI+B products, and our processes is at the forefront of your mind. You know that collaboration amongst teams and active listening of clients is critical to meet goals and grow. You strengthen our relationship with customers and unlock opportunities for growth.   

Selling, understanding our customers and their contexts, effective negotiation and growth mindset drive your work.  
Qualifications

• Minimum 7-10+ years of experience
• Solid sales skills and developed sales expertise in target scope   
• Solid understanding of data analytics industry, business model, products, services, and solutions like Brand Health, Segmentation, Usage & Attitude studies, Shopper and Shopping Behavior, Customer Experience and Advertising Effectiveness
• Experience working with Finance and/ or Tech & Durables sector clients   
• Solid understanding of market trends and its interdependencies impacting customers  

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