Business Development Manager

Key Responsibilities:

• Counsel prospective students/parents about courses and programs 

• Handle inbound and outbound leads effectively 

• Convert inquiries into enrollments through strong sales techniques 

• Build and maintain relationships with students and clients 

• Achieve monthly and quarterly sales targets 

• Provide accurate information about courses, fees, and career outcomes 

• Maintain records of interactions and follow-ups 

Candidate Requirements:

• Minimum 1 year of experience in the Ed-Tech industry 

• Strong communication and interpersonal skills 

• Proven sales ability and target-driven mindset 

• Ability to handle objections and close deals effectively 

• Comfortable working in a fast-paced environment 

PLC Flex Developer. 4+ years on FlexPLM(Retail/Apparel). Java usage within FlexPLM. Domain- Retail/apparel/footwear/fashion/consumer products experience. At least 1 migration with clear approach.

Agile experience

willing to overlap with US CST.

Oracle Cloud HCM Technical 

Experience- 6 – 12 years 

Location- Hyderabad, Chennai, Bangalore, Pune, Kolkata, Noida, Gurgaon, Mumbai 

1.Practitioner/expert level knowledge in at least 2 of the following tools: HDL, HCM Extracts, 

BIP Reports, OTBI Reports, REST Web services, Fast Formula 

2.In depth knowledge in at least two of HCM Cloud Modules: 

∙Core HR   

∙Absences   

∙Benefits   

∙Payroll   

∙Workforce Compensation 

∙OTL 

∙Taleo 

∙OLC 

∙Oracle recruit. 

1.Cloud -certification will be an advantage 

2.Very good communication skills and excellent problem-solving skills. 

3.Direct client interaction experience will be an advantage

Role & responsibilities

The Telesales & Service Associate of NAVEEN COMPANIES sells IT Services & Products (Website, Digital Marketing, Ecommerce, Mobile App) over phone to clients who are looking for IT Services and Products. The job is to reach out to various customers over phone, explain them the product & features and deliver value to the customers. 

·       Responsible for making outbound calls and regular follow up on leads assigned.

·       Build a strong relationship / trust with customers by understanding the customer requirements and suggesting the right product to the Customers.

·       Selling IT Services & Products over the phone and achieve the targeted sales numbers & value, set quality parameters

·       Explaining the Services & products features in detail and how to use the packages.

·       Understand the Customer requirements,

·       Address all the issues / grievances of customers and provide the right customer experience.

·       Capture the insights from customer interactions and share it with the internal team.

·       Strictly adhere to the process requirements

Preferred candidate profile

·       Business Knowledge Process Knowledge

·       Product Knowledge

·       Customer Orientation

·       Language skills English / Telugu

·       Telemarketing / Selling Skills

·       Basic computer skills MS Excel, Word

Behavioral

·       Values – Integrity / Honesty / Respect

·       Communication – Oral & Written skills / Listening

·       Executive Presence

·       Business / Telephone Etiquette

·       Influencing Skills

·       Empathy

·       Self-driven / Initiative

·       Ability to manage stress

·       Willingness to learn

Education and Experience

·       Graduate in any stream

·       0-12 months experience in telesales / collections / retention in BFSI / BPO / Telecom / Insurance / Timeshare sectors

Job involves
Client Coordinator: Onboarding and manage brands, insurance and ecommerce companies requiring aftersales waranty support services. 

Partner Coordinator: Onbaording and manage service partners. Assign tasks/ claims and get them executed through partner network.

• Participate in full machine learning Lifecycle including data collection, cleaning, preprocessing to training models, and deploying them to Production.
• Discover data sources, get access to them, ingest them, clean them up, and make them “machine learning ready”. 
• Work with data scientists to create and refine features from the underlying data and build pipelines to train and deploy models. 
• Partner with data scientists to understand and implement machine learning algorithms. 
• Support A/B tests, gather data, perform analysis, draw conclusions on the impact of your models. 
• Work cross-functionally with product managers, data scientists, and product engineers, and communicate results to peers and leaders. 
• Mentor junior team members 

Who we have in mind:

• Graduate in Computer Science or related field, or equivalent practical experience. 
• 4+ years of experience in software engineering with 2+ years of direct experience in the machine learning field.
• Proficiency with SQL,  Python, Spark, and basic libraries such as Scikit-learn, NumPy, Pandas.
• Familiarity with deep learning frameworks such as TensorFlow or Keras
• Experience with Computer Vision (OpenCV),  NLP frameworks (NLTK, SpaCY, BERT).
• Basic knowledge of machine learning techniques (i.e. classification, regression, and clustering). 
• Understand machine learning principles (training, validation, etc.) 
• Strong hands-on knowledge of data query and data processing tools (i.e. SQL) 
• Software engineering fundamentals: version control systems (i.e. Git, Github) and workflows, and ability to write production-ready code. 
• Experience deploying highly scalable software supporting millions or more users 
• Experience building applications on cloud  (AWS or Azure) 
• Experience working in scrum teams with Agile tools like JIRA
• Strong oral and written communication skills. Ability to explain complex concepts and technical material to non-technical users

• should have at least 5 years of hands-on experience in backend software development using Java.
• should have proven expertise in Spring Boot REST/Microservices.
• should have used design patterns like MVP, MVC or MVVM and should know when to use which.
• should have working experience with relational and NoSQL databases.
• should have multiple years of experience with cloud application design  and in one or more reputable cloud platform providers (e.g. AWS, GCP, Microsoft Azure … )
• should have professional experience working in an agile development environment.
• should have strong communication skills and like making decisions.
• should follow good software engineering principles such as TDD, writing modular, maintainable and clean code

Designation/Role : Wealth Manager

Location : WFH

Working Days : 5 Days

Experience: 2 to 5 year(s)

Qualification : Any Graduation

A Wealth Manager is required to interact with customers for the most part of his/her day. The job also requires thorough financial and alternative investment sector knowledge in order to provide sound and reliable advice to clients. The major skills and competencies required are:

Excellent people management skills |  Client-driven with a strong focus on the quality of service

Strong interpersonal communication skills | An excellent understanding of financial planning, wealth management, Alternative investment & understanding client needs | Ability to analyse and research information | Ability to explain complex information clearly and simply

Responsibilities: 

• Excellent people management skills 
• Client-driven with a strong focus on the quality of service.
• Strong interpersonal communication skills.
• An excellent understanding of financial planning, wealth management, Alternative investment & understanding client needs. 
• Ability to analyse and research information 
• Ability to explain complex information clearly and simply

Requirements :

• Proven track record in call handling both inbound & outbound
• Must have B2C experience
• Must have basic knowledge of business financial products
• Strong phone presence and experience dialing dozens of calls per day
• Excellent verbal and written communications skills
• Strong listening and presentation skills
• Ability to multitask, prioritize, and manage time effectively
• Prior work experience is Financial organisation preferred