Executive - Client Relations

Job Title: Logistics Sales Coordinator (Fresher)

Experience: US  Sales: 1 year (preferred).

Freshers with excellent communication skills in English are encouraged to apply.

Salary - Up to 22k

We are looking for a proactive and enthusiastic Sales Executive to join our team for the US Logistics Process. The role involves engaging with international clients, managing a blended process of calls and emails, and contributing to the success of our logistics operations. Whether you're a seasoned professional or a fresher with excellent communication skills, this role offers exciting opportunities to grow and excel, along with incentives for exceeding targets.

Key Responsibilities:

· Communicate with international clients to promote our services via calls and emails.

· Consistently deliver high-quality results and meet/exceed performance targets.

· Address and resolve client concerns professionally and efficiently.

· Multitask effectively and make quick, independent decisions when needed.

· Ensure clear and professional communication with clients at all times.

· Adhere to company quality standards and operational guidelines.

· Collaborate with team members to drive growth and achieve business goals.

Qualifications and Skills:

· Bachelor's Degree in any field (preferred).

· Freshers with excellent communication skills in English are welcome to apply.

· Candidates with 1+ years of experience in international logistics or sales are preferred.

· Strong negotiation and persuasion skills.

· Fluency in English (mandatory).

· Open to working in night and evening shifts (US time zone).

· Ability to work independently and as part of a team.

Why Join Us?

· Attractive incentives for exceeding sales and performance targets.

· Opportunity to work in an exciting, fast-growing international logistics process.

· Supportive work environment with ample opportunities for growth.

· Exposure to global clients and international logistics processes.

Work Schedule:

· Night Shifts (US time zone).

· Monday to Friday.

· Full-time, in-office position.

Language Requirement:

· Fluency in English (required).

If you're driven to achieve targets, have strong communication skills, and are eager to grow in a challenging yet rewarding role, this is the perfect opportunity for you!

Person needs to have good MS office (word) skills, with mimumum qualification as a graduate.

Work involves onsite and offsite work.

Location at delhi (IIT delhi campus , delhi cantt and gurgaon)

Only freshers are needed.

Job description

1.Responsible for making sure supplies, stock, materials, packages, and/or products are processed through the delivery and/or warehouse system efficiently and safely.
2.Achieve high levels of customer satisfaction through excellence in receiving, identifying, dispatching and assuring quality of goods 2. Organize and Plan Inventory storage area. Co-ordinate, Maintain and monitor the receipt and dispatch of goods.
3. Ensure orders are processed efficiently and that the delivery of materials meets customers timescales/requirements.
4.Communicate with suppliers, retailers, customers etc. to achieve profitable deals and mutual satisfaction.
5.Supervise and control order picking, goods in, goods out operations to ensure accuracy with minimum handling and stock damage.
6.Plan and track the shipment of final products according to customer requirements.
7.Keep logs and records of warehouse stock, executed orders etc.

Rolehttps://www.naukri.com/logistics-executive-jobs">Logistics Executive

Industry Typehttps://www.naukri.com/fmcg-jobs">FMCG

Functional Areahttps://www.naukri.com/procurement-supply-chain-jobs">Procurement & Supply Chain

• 1-5 years of experience in building and maintaining robust data pipelines, enriching data, low-latency/highly-performance data analytics applications.
• Experience handling complex, high volume, multi-dimensional data and architecting data products in streaming, serverless, and microservices-based Architecture and platform.
• Experience in Data warehousing, Data modeling, and Data architecture.
• Expert level proficiency with the relational and NoSQL databases.
• Expert level proficiency in Python, and PySpark.
• Familiarity with Big Data technologies and utilities (Spark, Hive, Kafka, Airflow).
• Familiarity with cloud services (preferable AWS)
• Familiarity with MLOps processes such as data labeling, model deployment, data-model feedback loop, data drift.

Key Roles/Responsibilities:

• Act as a technical leader for resolving problems, with both technical and non-technical audiences.
• Identifying and solving issues with data pipelines regarding consistency, integrity, and completeness.
• Lead data initiatives, architecture design discussions, and implementation of next-generation BI solutions.
• Partner with data scientists, tech architects to build advanced, scalable, efficient self-service BI infrastructure.
• Provide thought leadership and mentor data engineers in information presentation and delivery.