Total 12 job vacancies in Gurgaon

We are seeking a highly skilled Data Engineer with 5+ yrs experience who brings strong technical expertise in data processing, analytics, cloud platforms, and dashboarding, along with the ability to collaborate effectively with cross functional teams and deliver end to end analytical solutions.Skills & ResponsibilitiesAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights, identify trends, and support strategic decision making.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute queries in BigQuery for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate data ingestion.Support scheduled data pipelines using Apache Airflow to ensure timely and reliable data delivery.Design and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement clarification, data validation, iterative development, and final reporting.Work with cloud data platforms—preferably GCP—to support scalable data architecture and analytics.Apply Big Data, data modeling, and optimization techniques to design efficient data pipelines using ETL tools.Utilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.

Key Accountability:• Training Delivery Performance: End to end responsibility of training deliverables like throughput, certification, early production performance, etc.• Performance Management: Should have excellent knowledge of training deliverable, metrics data analytics. Knowledge/ Qualification: • Graduate • IATA / UFTA certification preferredSpecial Role Requirement:• Should be willing to work in 24*7 environment• Should be willing to work in non-weekend offs• Excellent working knowledge of all MS Office tools like Excel, PPT, etc. • Excellent written and verbal communications

The Lead Data Engineer will drive the design, development, and optimization of scalable data solutions that power analytics, reporting, and strategic decision making across the organization. This role requires deep technical expertise, strong problem solving skills, and the ability to guide teams in building robust data pipelines, analytical datasets, and data driven applications. The ideal candidate combines hands on engineering capability with leadership in architecture, quality, and cross functional collaboration.Key ResponsibilitiesData Engineering & Pipeline DevelopmentAnalyze and process large structured datasets using SQL and Python (Pandas, PySpark) to uncover insights and support strategic decisions.Build and optimize data transformations and analytical datasets using Pandas DataFrames and PySpark to ensure high quality, analysis ready data.Perform data cleansing and validation using regular expressions and other techniques to improve data accuracy and reliability.Develop and execute BigQuery queries for analytical exploration and production reporting.Integrate external data sources through APIs and web scraping to expand analytical capabilities and automate ingestion.Support and enhance scheduled pipelines using Apache Airflow to ensure timely, reliable data delivery.Apply Big Data, data modeling, and optimization techniques to design efficient, scalable ETL/ELT pipelines.Analytics & VisualizationDesign and maintain dashboards in Tableau or Power BI to visualize insights and monitor key performance metrics.Manage end to end analytical deliverables including requirement gathering, data validation, iterative development, and final reporting.Cloud & Architecture LeadershipWork with cloud data platforms—preferably GCP—to architect scalable, secure, and high performance data solutions.Lead best practices in data engineering including version control, CI/CD, data quality, and performance tuning.Cross Functional CollaborationPartner with business, product, and analytics teams to translate requirements into technical solutions and ensure alignment with organizational goals.Mentor junior engineers and contribute to establishing engineering standards, documentation, and reusable frameworks.Web UI & Application SupportUtilize foundational web UI concepts (HTML, CSS, JavaScript, React, Angular) to support data driven applications; hands on experience is a plus.Collaborate with frontend and platform teams to integrate data workflows into user facing tools and internal applications.Preferred Qualifications10+ years of experience in data engineeringStrong expertise in SQL, Python, Pandas, PySpark and distributed data processing.Experience with GCP (BigQuery, Cloud Storage, Composer, Dataflow) or equivalent cloud platforms.Experience in Tableau or Power BI for building dashboard and reports.Proven ability to lead complex data initiatives and drive architectural decisions.Experience working in Agile environments with cross functional teams.

1. PLC Programming & Controls

• Advanced programming, troubleshooting, and modification of PLC programs.
• Hands‑on experience with:
  • Omron, Keyence, Mitsubishi, Siemens PLCs
  • Servo actuators, drives, motors, and electrical systems

2. LabVIEW Programming

• Advanced LabVIEW application development including:
  • Graphical Programming (VIs & Sub‑VIs); LabVIEW RT Modules ; DAQ Interfacing (6009/6221/6001), NI‑MAX configuration
  • Field instrument interfacing & hardware configuration; RS232/RS485/Modbus‑TCP communication
  • OPC communication & PLC interfacing; Data logging and application troubleshooting

3. Vision Systems

• Programming and troubleshooting of industrial camera controllers:
  • Keyence & Cognex

4. MES Support,  Digitalization & ABB Robot Operations

• Ensure smooth functioning of MES on the shop floor.
• Perform basic troubleshooting for MES‑machine connectivity issues; Support accurate data capture for production, quality, and machine performance ; Contribute to digital documentation, traceability, and reporting.

• Support basic robot movement, teaching points, and path correction; Safely operate robot programs using FlexPendant. Handle I/O for grippers and sensor signals; Troubleshoot simple robot faults to ensure continuity of automation.

5 Breakdown& Preventive Management

• Attend and troubleshoot machine breakdowns in shifts to ensure minimum downtime.
• Provide immediate containment actions and document breakdowns in MIS; Perform root cause analysis and prepare permanent corrective action reports.

• Plan and execute Preventive Maintenance (PM) schedules; Conduct predictive maintenance and equipment health checks.
• Work towards continuous improvement and zero‑breakdown culture.

6. Spare Parts & Vendor Management

• Maintain and procure spares as part of the Spare Part Management system.
• Coordinate with Purchase and Suppliers for SC/PO/payment follow‑ups and deliveries.
• Track and manage R&M budget and annual maintenance calendar.

7. Additional Technical Knowledge (Preferred)

• Resistance welding
• Crimping
• Molding processes

Industrialization & New Project Execution

• Lead industrialization and ensure SOP of all new projects on time.
• Create and manage micro‑level execution plans for industrialization activities.
• Conduct feasibility studies, cost evaluation, process design, and execution of new technologies. Ensure all project milestones are met within timelines.
• Collaborate with suppliers for equipment development and procurement with required quality standards. Support plant expansion projects and manufacturing capacity enhancement.

Process & Equipment Performance Improvement

• Ensure continuous improvement of equipment and manufacturing processes focusing on performance and quality.
• Drive improvements in OEE, cycle time reduction, and bottleneck elimination.
• Define, optimize, and standardize shop-floor processes including material handling and logistics flow.
• Execute performance tracking and reporting activities for all key indicators.

Infrastructure & Systems Responsibility

• Own and maintain ASC infrastructure, including shop-floor layouts, MES systems, workstation/cell PCs, and digital tools, Ensure robust visual management systems across production areas.
• Oversee performance tracking systems and dashboards, Support training for operators and production personnel.

Cross-Functional & Global Collaboration

• Facilitate equipment-related know‑how transfer and cooperation across plants, and plant-to-plant networks.
• Ensure strong cooperation between R&D, plants, purchasing, and Industrial Engineering during Simultaneous Engineering (SE) processes, Contribute to global standards, best practices, and technology sharing initiatives.

Leadership & People Management

• Lead employees according to AUMOVIO core values.
• Plan, prioritize, and manage multiple tasks and responsibilities, Define work packages, roles, and responsibilities; delegate effectively to team leaders and members.
• Oversee staffing, hiring, and employee development, Ensure effective communication and coordination across teams, Fulfill and manage the Industrial Engineering cost center budget.

Technical Excellence

• Process Development & Standardization: deep knowledge of methods, tools, and standards, Strong financial understanding, specifically financial processes, cost structures, equipment cost impact, investment planning and tracking.
• Expertise in manufacturing concepts, technologies, equipment engineering (mechanical design, PLC systems), and relevant standards (CE, ISO, etc.), Solid understanding of Simultaneous Engineering principles, tools, and best practices.
• Strong performance improvement skills: cycle time analysis, downtime analysis, performance tracking, Strong quality improvement skills: problem solving, basic statistics, DoE, DFSS, P-FMEA.

ABOUT YOUR ROLE:

1. You will be responsible to maintain the current business, cross sell in existing accounts to drive growth and   achieve new sales targets for the region.  

2. You will add new customers, new projects by making cold calls and convert opportunities into business in the region.

3. Industrial sales / B2B Sales experience.

4. Relationship building is the key factor within and outside the organization.  

5. B2B sales with focus to identify and uncover new opportunities.
    

YOUR RESPONSIBILITIES WILL INCLUDE:

• Achieve aggressive sales results / targets.

• Promote new generation products of Avery Dennison .

• To handle the B2B sales for the assigned territory. 

• Conversion of opportunities into New Business sales.

• Develop territory, market penetration and sales execution strategies to consistently attain and exceed goals.

• Manage receivables from the customers monthly basis. 

• Enhancing market value of our products with continuous engagement with the customers.

Qualifications

Key Competencies:-

• Knowledge: Industrial consumable sales, proficiency in excel, data analysis.

• Skills: Relationship building ,Selling, Negotiation, Closing sales.

• Aptitude: Outgoing, Hardworking, self motivated and Action oriented.

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:

• 0–2 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.

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.

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.

Job Summary

We are seeking a highly skilled Financial Data Analyst with strong experience in Life & Annuity actuarial functions. The ideal candidate will bring deep expertise in financial data analytics, asset modeling, and programming (Python), along with a solid understanding of insurance and investment principles. This role will support actuarial modeling, financial reporting, and strategic decision-making through data-driven insights.

Key Responsibilities

• Analyze large and complex financial datasets related to life and annuity products to support actuarial valuations and reporting.

• Develop, maintain, and optimize data pipelines and analytical models using Python.

• Perform asset modeling and support Asset-Liability Management (ALM) processes.

• Collaborate with actuarial, finance, and investment teams to deliver actionable insights.

• Support financial forecasting, valuation, and risk analysis for insurance portfolios.

• Automate reporting processes and improve efficiency in data handling and analysis.

• Ensure data quality, integrity, and compliance with regulatory and internal standards.

• Assist in the development and validation of actuarial and financial models.

• Interpret and communicate analytical results to stakeholders in a clear and concise manner.

Required Qualifications & Experience

• Bachelor’s or master’s degree in actuarial science, Finance, Statistics, Mathematics, or a related field.

• 7+ years of experience in financial data analytics, preferably within life insurance or annuity domains.

• Strong hands-on expertise in Python (Pandas, NumPy, data visualization libraries).

• Proven experience in financial data analysis and reporting.

• Experience with asset modeling and/or Asset-Liability Management (ALM).

• Solid understanding of actuarial concepts in life and annuity products.

Preferred Skills

• Knowledge of insurance investment strategies and financial instruments.

• Experience working with actuarial modeling tools (e.g., Prophet, AXIS, MG-ALFA, or similar).

• Familiarity with regulatory frameworks (e.g., IFRS 17, Solvency II, US GAAP).

• Strong SQL and database management skills.

• Experience with data visualization tools (e.g., Power BI, Tableau).

• Actuarial exams progress or certification (preferred but not mandatory).

Key Competencies

• Strong analytical and problem-solving skills.

• Attention to detail and data accuracy.

• Effective communication and stakeholder management.

• Ability to work collaboratively in cross-functional teams.

• Proactive mindset with a focus on continuous improvement.

Location : Gurgaon

Hybrid working

UK time zone

Exp : 5+ Yrs

Skills and Experience

Must-Have Skills

• 5+ years of hands-on experience in Data Engineering, Data Automation, or Data Pipeline development.
• Strong Python expertise with experience building and maintaining production-grade data pipelines.
• Data ingestion experience using APIs, web scraping, and file-based sources (Excel, HTML, JSON, XML).
• Strong working knowledge of Pandas, NumPy, Requests, BeautifulSoup, Selenium.
• Solid understanding of data pipeline architecture, modular design, reusability, and performance optimization.
• Experience with workflow orchestration concepts such as scheduling, dependencies, retries, and monitoring.
• Hands-on experience with logging, alerting, error handling, and monitoring for production workflows.
• Proficiency with Git and strong coding, testing, and documentation standards.
• Strong understanding of data quality, validation, governance, and schema evolution.
• Ability to troubleshoot and resolve production data pipeline issues independently.

Nice-to-Have Skills

• Experience with Decisions or similar workflow automation platforms.
• Exposure to PySpark or distributed data processing frameworks.
• Experience working with on-premise enterprise data ecosystems.
• Experience mentoring junior engineers or influencing engineering best practices.
• VBA

Key Responsibilities

• Design and develop scalable, reusable data collection systems using APIs, web scraping, and file-based ingestion (e.g., Excel, HTML, JSON).
• Lead development of Python-based data ingestion and automation methods for diverse data sources.
• Integrate ingestion pipelines with enterprise data storage and processing layers, ensuring reliability, performance, and maintainability.
• Ensure data quality, governance, and cross-system consistency in collaboration with backend, analytics, and UI teams.
• Productionize Python-based analytical models for scalable, reliable execution in operational environments.
• Enable end-to-end automation of data pipelines and workflows with minimal manual intervention.
• Establish and enforce development standards including code structure, testing, documentation, logging, and error handling.
• Contribute to internal workflow orchestration and Decisions-based transformation solutions.

Technical Environment

• Python-based custom data pipeline framework
• API-driven data access and web scraping
• Decisions workflow automation (nice to have)
• Internally managed workflow orchestration services

Good understanding of CPG DomainHands on Experience on Nielsen Data setsGood command on MS Excel and Powerpoint

As a key team member, You would be responsible for collecting, transforming and validating the data required for MMM Models.

Using Advanced Excel & Python, you would be required to manipulate and transform the raw data into model ready datsets.  The processed data needs to be warehoused in Azure and presented using PowerBI.  You would have to validate and derive insights from the transformed data to assist modeling team in building hypotheses for the MMM Models.  This will be for various datasets – Consumption or POS data, Media – both online and offline, Medical Expert & Finance data

You will be seen as a strong voice of influence for sharing ideas and contributing to innovation of the entire data ingestion process from source to modeling

Work Experience

2-8 years of experience in Data Analytics, Data Manipulation, Modeling in CPG or Consumer Pharma Domain.

Qualification

• M.Sc. Statistics
• M.Sc. Operational Research
• M.Sc. Mathematics
• B. Sc. Stats + MBA
• B. Tech.

Role Requirements:

• Robust knowledge on Consumer Industry Brands & Category, knowledge on CPG data processing (with sales / marketing / commercial operations teams). Able to source data from external syndicated data provider’s portals.
• Knowledge of Marketing Mix Modeling, Pricing, RGM or any other Advanced analytics solution for CPG and Pharma domain
• Experience of working on Nielsen, IRI, IQVIA datasets
• Experience of working on Media data – offline or online for CPG or Pharma clients
• Manipulating data using Advanced excel, Python or R; Knowledge of any BI tools – PowerBI preferred; Knowledge of Azure platform is a plus
• Identifying new ways to leverage data (internal and external data sets -  sales, digital, advertisement, media, sales force, social) to generate business insights
• Demonstrate technical functional expertise and be seen as an expert and partner by the client and internal stakeholders
• Fluent verbal communication and good written communication, communicate statistical outputs in a business language
• Run small to medium size projects, and manage the execution by planning project activities, tracking and monitoring the tasks, and working with close coordination with the project manager
• Provide training and support for internal employees
• Well-developed conceptual, analytical, strategic thinking and problem solving skills. High sense of ownership
• Proven ability to handle multiple projects while meeting deadlines and documenting progress towards those deadlines
• Provide support to global markets and display flexibility
• Nice to have
  • Machine Learning (ML), DevOps, Azure Data bricks experience/understanding
  • Preferred knowledge/experience in R, SQL and PL/SQL, Power BI, Azure

Shift Time: 8:00 AM to 5:00 PM IST