Lead Generation Executive (US Region)

Data Strategy and Planning:

Collaborate with stakeholders to develop and implement data management strategies aligned with business objectives.

Define data standards, policies, and procedures to ensure consistent and accurate data collection and storage.

Data Collection and Integration:

Identify and assess various data sources, both internal and external, to gather relevant and reliable data.

Design and implement data collection methods and processes to ensure data is captured efficiently.

Oversee data integration initiatives to consolidate data from different sources into a unified database.

Data Quality Assurance:

Develop and enforce data quality standards to ensure the accuracy, completeness, and consistency of data.

Implement data validation processes and routines to identify and rectify data discrepancies or errors.

Database Management:

Maintain and optimize data storage systems, including databases, data warehouses, and data lakes.

Ensure data security and compliance with relevant data protection regulations.

Data Analysis and Reporting:

Collaborate with analysts to provide clean and structured data for analysis.

Assist in creating data visualizations and reports to communicate insights and findings to stakeholders.

Team Collaboration:

Work closely with IT teams, data scientists, analysts, and other stakeholders to define data requirements and resolve technical issues.

Provide guidance and training to team members regarding data management best practices.

Roles & Responsibilities:

• Responsible for handling enquiries and getting the enrollments done over the phone.

• Performing counseling & career guidance to working professionals via phone.

• Responsible for converting prospects into Enrollment.

• Responsible for resolving queries related to the course offered.

• Responsible for maintaining day to day reports as required.

Key Skills Required:

• Must have effective communication skills & convincing power.

• Should be comfortable for telesales/ inside sales

• Should have relevant experience in telesales/ inside sales.

• Should be at least graduate.

Requirement:

• Min 2-3 Year Experience. Preferably in the E-commerce domain. 
• Proficient with both MySQL and NoSql Databases (Elastic, Mongo)
• Strong hold on  Python
• Experience with JavaScript/JQuery
• Ability to do software design for a enterprise web application
• Working knowledge of a MVC front-end framework
• Proficient in HTTP protocol, REST APIs, JSON
• Ability to do database design and modeling
• Proficient in OOPS concepts and writing code using classes
• Ability to write modular and clean code

What is the role?

As Product Manager for Empuls you will be responsible for the product portfolio, including all product planning and release execution throughout the lifecycle of the product portfolio. This includes defining and prioritizing product roadmap, listening to customers, creating business requirements, driving functional requirement, driving this through development and successfully launching new product features.To read more about the kind of qualities we are looking for this role,

Key responsibilities

• Strategic planning and managing all stages of Product Life Cycle
• Develop business cases for each product feature to demonstrate feasibility including target pricing and margin, addressable and realizable market, SWOT analysis, estimated development, implementation, and support costs etc.
• Develop functional, technical and designs specifications for the product
• Help define the value proposition of the product for the sales team and help develop the sales tools that support the selling process of your products
• Research and understand competitive offerings in your sector

What are we looking for?

• An enthusiastic individual with 5+ years of experience in product management.
• We would prefer candidates from Fintech, ecommerce, rewards, loyalty and incentives.
• We'll look forward to technical skills required for a product role along with soft skills required to manage multiple stakeholder roles. Rest we can explore together during our interactions. If you find yourself to be someone that fits this requirement then read on.

Whom will you work with?

You will closely work with technology, design, sales and customer care teams. You will report to the head of product development.

What can you look for?

A wholesome opportunity in a fast-paced environment that will enable you to juggle between concepts, yet maintain the quality of content, interact and share your ideas and have loads of learning while at work. Work with a team of highly talented young professionals and enjoy the comprehensive benefits that Xoxoday offers.

We are

A fast-growing SaaS commerce company based in Bangalore with offices in Delhi, Mumbai, SF, Dubai, Singapore, and Dublin. We have three products in our portfolio: Plum, Empuls and Compass. Xoxoday works with over 1000 global clients. We help our clients in engaging and motivating their employees, sales teams, channel partners and consumers for better business results.

Way forward

We are looking for a Staff Engineer who is an expert in Javascript (Node.js). We are looking for engineers who work like owners as you will be tasked with leading the development of one of our 5 major components of the Hatica platform. You will work with experienced engineers and on a modern cloud-native stack built using Javascript (React and Node) and Golang with an in-house real-time data analytics engine on Postgres and Elasticsearch among others.

Experience - 3 - 7 years
Responsibilities

• Build and maintain our backend microservices powering the core of our software platform
• Help your fellow DevOps and junior engineers working on our cloud infrastructure and other components of our product to ensure high code quality and robust architecture.
• Work with your team members to maintain high uptime and reliability of our core backend and APIs

Requirements and Qualifications

• BE/BTech in Computer Science or Engineering
• Minimum of 4 years of experience with backend development
• 3 years of experience with Node.js
• Familiarity with newer specifications of EcmaScript
• Understanding of GraphQL
• Ability to write and maintain high quality code
• Understanding of web coding patterns
• Solid understanding of microservices architecture
• Understanding of AWS and cloud-native technologies is highly preferred

Benefits

• Work with the best and brightest on a global cutting-edge SaaS product
• Performance oriented culture built on fairness and inclusivity
• Competitive Compensation
• Flexible work hours
• Fully remote team, work from anywhere

Job Type: Full-time

• Develop frontend components on ReactJS with Redux as state management library
• Should have good knowledge of tailwind CSS
• Must have expertise in JavaScript, ES6, React-Redux, HTML/CSS
• Familiarity with build tools such as Webpack, Babel
• Experience with testing tools such as Jest
• Experience in web security and performance on mobile and desktop
• Familiarity with Git.
• Should be able to make mobile responsive designs
• Knowledge on PWA would be an added advantage

• Develop backend APIs on Express.js and NodeJS
• Should be good with SQL database and perform DDL,DRL,DQL,DCL on database ,preferably PostgresDb.
• Should have familarity with ORM such as sequilize.
• Knowledge on server-less architecture is good
• Experience with monitoring tools web performance and caching techniques
• Experience working in agile methodology projects
• Should have knowledge of design patterns, design practices
• Should have the ability to design and write reusable code
• Ready to work in a challenging and fast-paced environment
• Experience in building Cloud Native applications
• Experience in test-driven development

What you’ll do - 

1. Design and implementation of the overall web architecture.
2. Design and deployment of database.
3. Ensuring the entire stack is designed and built for speed and scalability.
4. Design and construction of our REST API
5. Integrating our front-end UI with the constructed API
6. Design and implementation of continuous integration and deployment.
7. Work remotely with our global clients and teams across the US

What you should have - 

1. Should have 5+ years of experience expertise in developing applications using any of the frameworks and programming languages
2. 5-8 years’ experience Fluent in CSS (Foundation or Bootstrap), JavaScript and HTML, with an understanding of CSS, React.JS
3. Experience working with server technologies Node.js
4. Experience in API design and development.
5. Understanding of SQL / NoSQL databases MongoDB.
6. Strong knowledge of data structures, system design, and algorithms.
7. Great organizational and time-management skills.
8. Great interpersonal and communication skills.

What you will be doing:

As a part of the Global Credit Risk and Data Analytics team, this person will be responsible for carrying out analytical initiatives which will be as follows: -

• Dive into the data and identify patterns
• Development of end-to-end Credit models and credit policy for our existing credit products
• Leverage alternate data to develop best-in-class underwriting models
• Working on Big Data to develop risk analytical solutions
• Development of Fraud models and fraud rule engine
• Collaborate with various stakeholders (e.g. tech, product) to understand and design best solutions which can be implemented
• Working on cutting-edge techniques e.g. machine learning and deep learning models

Example of projects done in past:

• Lazypay Credit Risk model using CatBoost modelling technique ; end-to-end pipeline for feature engineering and model deployment in production using Python
• Fraud model development, deployment and rules for EMEA region

Basic Requirements:

• 1-3 years of work experience as a Data scientist (in Credit domain)
• 2016 or 2017 batch from a premium college (e.g B.Tech. from IITs, NITs, Economics from DSE/ISI etc)
• Strong problem solving and understand and execute complex analysis
• Experience in at least one of the languages - R/Python/SAS and SQL
• Experience in in Credit industry (Fintech/bank)
• Familiarity with the best practices of Data Science

Add-on Skills : 

• Experience in working with big data
• Solid coding practices
• Passion for building new tools/algorithms
• Experience in developing Machine Learning models