Senior business analyst Top b2c product company only

Responsibilities

• Source new sales opportunities through inbound lead follow-up and outbound cold calls and emails

• Responsible for student admission and achieve their targets

• Understand customer needs / requirements and pitch a suitable program

• Close sales and achieve quarterly quotas

• Counselling, Interacting with students and Parents.

• Support students one on one in their selection of course, application process and meeting application deadlines.

• Should be able to assist students in obtaining the necessary documentation needed for the application process.

• Provide students, parents, and guardians with information regarding admissions requirements and processes, enrolment process

or other procedures.

• Coordinate systematic and efficient handling of applications and communications with parents of student applicants.

Requirement:

• Ability to empathize with students and parents, thus able to build relationships through conversations

•Strong inclination to work in a target driven sales environment.

• Proven expertise in converting leads into a sale

• Experience working with CRM

• Fluency in English and Hindi languages is a must-have.

• Strong listening and presentation skills.

Location: MG Road , Bangalore

Working Days: 6 Days

About Pixerize

Pixerize is a digital-first business growth partner helping clients automate operations and scale with clarity. We combine strategy, systems, and human talent to help businesses dominate their industries. As we grow, we’re building a lean and powerful sales team—and we’re hiring a high-energy Appointment Setter to help fuel our pipeline.

Role Overview

We’re looking for a motivated Setter to generate high-quality leads, initiate first contact, qualify prospects, and set discovery calls for our Sales Closer. You'll be the first point of contact with potential clients—your energy, communication, and ability to build trust quickly will be key in booking valuable calls and moving prospects through the sales funnel.

Responsibilities

• Research and identify potential leads via social media, email, and internal tools.
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• Reach out to prospects through cold and warm outbound efforts (calls, DMs, emails).
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• Qualify leads based on target criteria and interest.
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• Set up appointments and discovery calls for the Sales Closer.
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• Maintain accurate records in our CRM and track outreach efforts.
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• Work closely with marketing to align messaging and optimize lead generation.
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• Follow up with prospects who express interest or need more nurturing.
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KPIs & Performance Metrics

• Number of qualified calls set per week/month.
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• Lead-to-call conversion rate.
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• Consistency of follow-ups and engagement.
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• Feedback quality from the Sales Closer.
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• Contribution to overall lead pipeline growth.
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Requirements

• 1–2 years in appointment setting, lead generation, or customer service.
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• Strong communication skills and confidence in reaching out cold.
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• Highly organized and detail-oriented.
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• Self-starter who thrives in remote, fast-paced settings.
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• Ability to handle rejection and stay focused on targets.
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Nice to Have

• Familiarity with CRMs or outreach tools.
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• Experience working in marketing, sales, or agency environments.
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Fluency in English with excellent written and verbal tone.

Looking to hire a single backend engineer who will become a part of the core team, with the track to become a part of the leadership at our company.

Candidate should have worked in startups, possess strong programming skills in Python, displays a sense of ownership and is highly energetic and eager to learn state-of-the-art tech and ML.

A minimum of 2 years of relevant experience is preferred.

2022 or later year pass outs - please apply only if you have relevant full-time and at least 2 prior internships experience

Representative (not exhaustive) responsibilities:

• Assess the current design and infrastructure of the backend server, and continuously implement enhancements to make the systems more robust, reliable and responsive
• Design, implement, test, and deploy APIs with Python on Linux servers
• Enhance back-end functionality and integrate with the front end to deliver a fully functional product
• Implement and set up automated tests to periodically test backend infrastructure for reliability, security and performance
• Design new data pipelines to enable the production deployment of new models
• Mentor junior employees and interns in the company
• Additionally, interest and ability to contribute to the continuous enhancement of our state-of-the-art NLP model pipeline and Inferencing engine is a big plus
• Be ready to roll up your sleeves and participate in customer calls, understand our ICP well, do research around product features, etc.

Fast Track Your Application

Think about the ICP for ContractKen. Sign up for a trial plan, experience the product and provide feedback on how to improve the current experience of the product to add immediate value to the ICP. We don't need you to fully code any feature in its entirety and are not looking for free work. The idea is to identify folks who get** what we are trying to do with ContractKen and find faster alignment with the right candidate.

Do not apply if

You're looking for your first, real-world model building, ML/AI role. We believe that deploying existing models (open source and proprietary) in production and delivering real business value to our customers is 10x more important than hyperparameter tuning or the latest algorithm implementation. While we'd love to entertain experienced ML data scientists, the emphasis on MLOps is as much as it is on experimentation.

• Gathering business and functional requirements.
• Developing requirements documents: goal model, functional modeling, business process, customer interactions/wireframes; writing high-level user requirements (Epics and User Stories) and Process flows/analysis in JIRA
• Preparing use cases and formal requirements documentation.
• Analyzing and simplifying the requirement scenarios and be able to write prerequisites, Acceptance Criteria. Work closely with the business and technology to gather & write end to end business testing requirements and acceptance criteria.  
• Ensuring that releases are getting completed as per timeline and quality by working closely with the product delivery team and keeping daily track of progress.  
• Coordinate UAT activities prior to new product releases and client onboarding events including tracking of defects and progress of resolution.
• Escalation of issues in a timely manner.
• Ensure adherence to audit, SLA and operational standards.
• Demonstrations of new functionality to business and technology users.  
• Work in tandem with the Documentation team to produce user manual and system documents.
• Work closely with the support team to ensure timely knowledge transfer  
• Providing analysis and support for the project management, application development, and QA teams throughout the development lifecycle.
• Acting as a liaison between the technology department and other business units.
• Working on RFI or RFP proposals. Participating in process studies or pre-sales process of responding to RFI, RFP, and proposals.
• Leading business and technical analysis sessions to support new development efforts to meet current and projected business needs.
• Quickly understanding the business issues and data challenges of clients organization and industry.
• Providing expertise on the system's capabilities/limitations as it relates to business goals.
• Preparing impact and opportunity assessments regarding the cost/benefit of proposed projects.
• Aligning stakeholders on business requirements, system requirements, program functions, and strategy.

• 4 + years of hands-on experience with software applications as a BA
• Proficient with tools like Jira, Confluence, Wiki, Ms-Word, Excel, and Visio, etc. 
• Have a good experience of the Agile Process(SCRUM) 
• Can validate, refine and optimize solution option models, Through analysis of options, can select the option with the greatest business benefit bearing in mind the customer's & product objectives
• Can form a recommendation or recommendations, with justification, to the decision making authority/s, Applies effective influencing strategies to enable Decisions.
• Is able to take fresh views and avoid rigid thought patterns, Is prepared to investigate and challenge the unknown, Applies common sense and doesn't go over the top
• Comprehends end to end business life cycle and stated/unstated needs of the customer in order to provide value  
• Shows a good understanding of the domain and visualize new features and requirements from industry best practice and document them for technical implementation  
• Is clear and concise and writes in a format which is focused on the reader, avoids unnecessary detail, Documents are presented in a professional format with good spelling and grammar, clearly identifying any missing or incomplete content.  
• Demonstrates active listening and values others input/expertise, diversity of views/opinions and responds appropriately.   

Required:

- Strong background in, and at least 3+ years of working in tooling or QA automation

- Thorough understanding of SDLC, specifically automated QA processes in agile development environments

- Experience in writing, executing and monitoring automated test suites using a variety of technologies

- Proficient with bug tracking and test management toolsets to support development processes

- Strong working knowledge of testing fundamentals such as TDD & BDD

- Proficient working with relational databases such as MySQL & PostreSQL

- Some knowledge of Unix/Linux

Desired Skills:

- Building test infrastructures using containerization technologies such as Docker and working within continuous

delivery / continuous release pipeline processes

- Testing enterprise applications deployed to cloud environments such as Google Cloud Platform

- Experience mentoring QA staff and end users on quality objectives and testing processes

- Understanding of coding enterprise applications within Java, PHP, and other languages

- Understanding of NoSQL database technologies such as MongoDB or DynamoDB

- Degree level qualifications in a technical related subject

- Proactive 'self-starter' attitude

- Lifelong learner - thrives from developing and sharing knowledge

• Determine and define project scope and objectives
• Predict resources needed to reach objectives and manage resources in an effective and efficient manner
• Prepare budget based on scope of work and resource requirements
• Track project costs in order to meet budget
• Develop and manage a detailed project schedule and work plan
• Provide project updates on a consistent basis to various stakeholders about strategy, adjustments, and progress
• Manage contracts with vendors and suppliers by assigning tasks and communicating expected deliverables
• Utilize industry best practices, techniques, and standards throughout entire project execution
• Monitor progress and make adjustments as needed
• Measure project performance to identify areas for improvement

We’re looking to hire someone to help scale Machine Learning and NLP efforts at Episource. You’ll work with the team that develops the models powering Episource’s product focused on NLP driven medical coding. Some of the problems include improving our ICD code recommendations , clinical named entity recognition and information extraction from clinical notes.

This is a role for highly technical machine learning & data engineers who combine outstanding oral and written communication skills, and the ability to code up prototypes and productionalize using a large range of tools, algorithms, and languages. Most importantly they need to have the ability to autonomously plan and organize their work assignments based on high-level team goals.

You will be responsible for setting an agenda to develop and ship machine learning models that positively impact the business, working with partners across the company including operations and engineering. You will use research results to shape strategy for the company, and help build a foundation of tools and practices used by quantitative staff across the company.

What you will achieve:

• Define the research vision for data science, and oversee planning, staffing, and prioritization to make sure the team is advancing that roadmap

• Invest in your team’s skills, tools, and processes to improve their velocity, including working with engineering counterparts to shape the roadmap for machine learning needs

• Hire, retain, and develop talented and diverse staff through ownership of our data science hiring processes, brand, and functional leadership of data scientists

• Evangelise machine learning and AI internally and externally, including attending conferences and being a thought leader in the space

• Partner with the executive team and other business leaders to deliver cross-functional research work and models

Required Skills:

• Strong background in classical machine learning and machine learning deployments is a must and preferably with 4-8 years of experience

• Knowledge of deep learning & NLP

• Hands-on experience in TensorFlow/PyTorch, Scikit-Learn, Python, Apache Spark & Big Data platforms to manipulate large-scale structured and unstructured datasets.

• Experience with GPU computing is a plus.

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization. This could be through technical leadership with ownership over a research agenda, or developing a team as a personnel manager in a new area at a larger company.

• Expert-level experience with a wide range of quantitative methods that can be applied to business problems.

• Evidence you’ve successfully been able to scope, deliver and sell your own research in a way that shifts the agenda of a large organization.

• Excellent written and verbal communication skills on quantitative topics for a variety of audiences: product managers, designers, engineers, and business leaders.

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

Qualifications

• Professional experience as a data science leader, setting the vision for how to most effectively use data in your organization

• Expert-level experience with machine learning that can be applied to business problems

• Evidence you’ve successfully been able to scope, deliver and sell your own work in a way that shifts the agenda of a large organization

• Fluent in data fundamentals: SQL, data manipulation using a procedural language, statistics, experimentation, and modeling

• Degree in a field that has very applicable use of data science / statistics techniques (e.g. statistics, applied math, computer science, OR a science field with direct statistics application)

• 5+ years of industry experience in data science and machine learning, preferably at a software product company

• 3+ years of experience managing data science teams, incl. managing/grooming managers beneath you

• 3+ years of experience partnering with executive staff on data topics