Total 7 Others distribution manager 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.

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.

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

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.

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.

At LinkedIn, our approach to flexible work is centered on trust and optimized for culture, connection, clarity, and the evolving needs of our business. The work location of this role is hybrid, meaning it will be performed both from home and from a LinkedIn office on select days, as determined by the business needs of the team. 

We are looking for a Manager for our Account Director team based in North India. In this role, you will be responsible for building and managing a team of account directors who partner with existing customers to deliver success using our Talent and Learning solutions. In addition, the Manager will be responsible for developing and executing the sales strategy across market. You will also focus on retaining and growing LinkedIn’s valuable corporate relationships. 

Responsibilities: 

• Effective communication through 1:1s, performance reviews, coaching, and manager updates 
• Communicate goals and brings focus on the most important activities 
• Inspire customers to close business
• Manage headcount, forecast, lead meetings, align the team to organizational vision and values 
• Foster a positive and values-driven team culture that will motivate others 
• Create a shared vision for the function 
• Identify team challenges and lead training and education to improve rep effectiveness 
• Be the trusted partner and advisor to leadership and provide them with competitive and industry intelligence to inform product and business strategies 
• Be an effective coach to team members 
• Cross-Sell across the suite of LinkedIn talent solutions products 
• Connecting & developing relationships with CXO’s across LinkedIn’s Talent solutions customers.