Business Development & Sales

Strong sponsor acquiring and managing profile

Mandatory (Experience): Must have 2+ years of experience in sponsorship sales, business development, partnerships, or events sales

Mandatory (Skills 1): Must have experience in identifying & acquiring sponsors

Mandatory (Skills 2): Must have experience creating sponsorship decks, proposals, and pitching

Mandatory (Skills 3): Must have handled negotiations and closure of sponsorship deals

Mandatory (Skills 4): Must have managed pre-, during, and post-event sponsor engagement

Mandatory (Skills 5): Must be proficient in powerpoint and excel

Mandatory (Education): Bachelor's degree in Marketing, Business, Communications, or a related field

Mandatory (Note): Must be comfortable in a fast-paced, deadline-driven environment

Responsibilities:

Managing and updating all social media accounts of company

Good written and spoken communication skills

Passionate about social media trends

Passionate about learning new social media management tools

Assisting the followers and customers by replying them through calls, emails, chats, and comments

Requirements:

Any graduate

Must be a team player

Should be result orientated

Good analytical skills

Experience

Min. Fresher Max. 1 Year

Consultant – Data Entry / Admin Executive

Roles and Responsibilities

• Insert customer and account data by inputting text based and numerical information from source documents within time limits
• Compile, verify accuracy and sort information according to priorities to prepare source data for computer entry
• Review data for deficiencies or errors, correct any incompatibilities if possible and check output
• Research and obtain further information for incomplete documents
• Apply data program techniques and procedures
• Generate reports, store completed work in designated locations and perform backup operations
• Scan documents and print files, when needed
• Keep information confidential
• Manage calls and queries for information and access relevant files
• Comply with data integrity and security policies
• Ensure proper use of office equipment and address any malfunctions

Requirements and skills

• Proven data entry work experience, as a Data Entry Operator or Admin Executive
• Proficient in using MS Excel skills
• Familiarity with administrative duties
• Typing speed and accuracy
• Excellent knowledge of correct spelling, grammar and punctuation
• Attention to detail
• Confidentiality
• Organization skills, with an ability to stay focused on assigned tasks
• Excellent written and oral Communication skills
• Basic Graduation - Additional computer training or certification will be an asset

LogiNext is looking for a technically savvy and passionate DevOps Engineer to cater to the development and operations efforts in product. You will choose and deploy tools and technologies to build and support a robust and scalable infrastructure.

You have hands-on experience in building secure, high-performing and scalable infrastructure. You have experience to automate and streamline development operations and processes. You are a master in troubleshooting and resolving issues in non-production and production environments.

Responsibilities:

Design and implement scalable infrastructure for delivering and running web, mobile and big data applications on cloud Scale and optimise a variety of SQL and NoSQL databases, web servers, application frameworks, caches, and distributed messaging systems Automate the deployment and configuration of the virtualized infrastructure and the entire software stack Support several Linux servers running our SaaS platform stack on AWS, Azure, GCP Define and build processes to identify performance bottlenecks and scaling pitfalls Manage robust monitoring and alerting infrastructure Explore new tools to improve development operations

Requirements:

Bachelor’s degree in Computer Science, Information Technology or a related field 2 to 4 years of experience in designing and maintaining high volume and scalable micro-services architecture on cloud infrastructure Strong background in Linux/Unix Administration and Python/Shell Scripting Extensive experience working with cloud platforms like AWS (EC2, ELB, S3, Auto-scaling, VPC, Lambda), GCP, Azure Experience in deployment automation, Continuous Integration and Continuous Deployment (Jenkins, Maven, Puppet, Chef, GitLab) and monitoring tools like Zabbix, Cloud Watch Monitoring, Nagios Knowledge of Java Virtual Machines, Apache Tomcat, Nginx, Apache Kafka, Microservices architecture, Caching mechanisms Experience in enterprise application development, maintenance and operations Knowledge of best practices and IT operations in an always-up, always-available service Excellent written and oral communication skills, judgment and decision-making skills

Manage inbound and outbound customer calls in a timely manner.

Ability to understand the customers needs and articulate a solution

Research every issue and provide solutions to them

Ability to explain features and benefits without using scripts

Build strong relationships with customers

Meet qualitative and quantitative targets

Work in brick and mortar call center

Requirement-

Previous experience in a call center customer support, sales and or retention

Previous experience with US market

Strong phone and verbal communication skills

Excellent listener and time management skills

Accent Neutral

Additional Advantage

Understanding of USA Credit Bureau, Credit Report and Credit Score culture

Customer Success Associate

Industry Type-BPO / Call Centre

Functional Area-Customer Success, Service & Operations

Employment Type-Full Time, Permanent

• 3-5yrs of practical DS experience working with varied data sets. Working with retail banking is preferred but not necessary.
• Need to be strong in concepts of statistical modelling – particularly looking for practical knowledge learnt from work experience (should be able to give "rule of thumb" answers)
• Strong problem solving skills and the ability to articulate really well.
• Ideally, the data scientist should have interfaced with data engineering and model deployment teams to bring models / solutions to "live" in production.
• Strong working knowledge of python ML stack is very important here.
• Willing to work on diverse range of tasks in building ML related capability on the Corridor Platform as well as client work.
• Someone with strong interest in data engineering aspect of ML is highly preferred, i.e. can play dual role of Data Scientist as well as someone who can code a module on our Corridor Platform writing robust code.

Structured ML techniques for candidates:

1. GBM
2. XgBoost
3. Random Forest
4. Neural Net
5. Logistic Regression