Senior Analytics Executive

ROLES AND RESPONSIBILITIES:

As the G1 Head of Technical Support, you will be the central force ensuring an exceptional post-go-live technical experience across the company suite. You’ll oversee L3 support operations across all products, manage customer escalations, drive cross-team resolution, and build processes for visibility, accountability, and continuous improvement. This is a cross-functional, high-impact leadership role, working across engineering, QA, DevOps, customer support, and product teams to ensure that every issue is tracked, resolved, and learned from—within SLA and with a customer-first mindset.

YOU WILL-

Incident & Ticket Management:

• Own end-to-end L3 technical support governance across company products (ERP, POS,OMS, etc.)
• Ensure customer issues are responded to and resolved within defined SLAs
• Drive prioritization, root cause resolution, and engineering coordination across product teams
• Personally manage and de-escalate high-severity issues with customers and internal teams

Process & Metrics Ownership:

• Define, track, and optimize support processes, SLAs, escalation workflows, and ticket lifecycle practices
• Build dashboards for SLA adherence, issue aging, bug trends, defect density, etc.
• Establish strong feedback loops to engineering/product based on recurring issues

RCA & Knowledge Management:

• Ensure timely Root Cause Analysis (RCAs) for all S1/S2 issues with actionable insights
• Lead trend analysis to preempt issues and recommend long-term fixes or product hardening
• Build and maintain a knowledge base to improve internal resolution efficiency

Customer Interaction:

• Engage with enterprise customers on complex or long-running tickets
• Serve as a trusted escalation point for strategic clients
• Collaborate with Customer Success and Implementation teams for seamless client experience

Collaboration & Leadership:

• Coordinate with Product Architects and Engineering Heads to ensure ticket resolution
• Build and mentor a lean L3 support team or tiger squads when required
• Drive a culture of accountability, learning, and proactiveness in technical support

IDEAL CANDIDATE:

• 11+ years of experience in technical support or L3 support leadership roles in SaaS or high- scale enterprise products
• Strong experience handling customer escalations, RCAs, and cross-team ticket resolution
• Solid technical background (understanding of APIs, microservices, database queries, logs, debugging)
• Expertise in support tooling: Freshdesk, Jira, ServiceNow, etc.
• Excellent communication skills—able to speak fluently with both customers and engineers
• Data-driven mindset for reporting, insights, and stakeholder updates
• Experience working in retail tech, ERP, or platform businesses is a big plus

PERKS, BENEFITS AND WORK CULTURE:

• Comprehensive health insurance coverage.
• Excellent rewards and recognition policy.
• Transparent compensation policy with no unnecessary deduction in CTC.
• Annual company off-site and a variety of events, celebrations throughout the year.
• Travelling opportunities between our offices across the country.
• Annual company walkathon & related sporting events.
• Quarterly Coffee with CEO.

• Strong IT Technical Recruiter Profiles
• Mandatory (Experience 1): Must have 3+ years of experience in end-to-end IT recruitment (sourcing, screening, interviewing, and offer negotiation)
• Mandatory (Experience 2): Must have hands-on experience hiring for core technical roles
• Mandatory (Skill): Strong grasp of technical concepts and ability to evaluate candidate fit for skills
• Mandatory (Communication): Excellent verbal and written communication skills — should be articulate, confident, and well-spoken in client and candidate interactions
• Mandatory (Company) - Product

Organised appointments, meetings, and follow-ups with Doctors, Distributors, hospital/healthcare staff

2. Coordinate day-to-day sales operations, including tracking inquiries, managing documentation, and maintaining customer databases.

3. Support the identification of new business opportunities by preparing preliminary information, product details, and relevant documents for the sales team.

4. Facilitate communication between the company and healthcare professionals such as doctors, nurses, pharmacists, technicians, and clinicians.

5. Prepare and maintain sales reports, performance summaries, and monthly/weekly MIS data.

6. Assist in preparing Tenders, quotations, proposals, agreements, and contracts for new and existing distributors.

7. Updating statutory compliances as required by the company time to time

8. Ensure timely follow-ups with clients, distributors, and internal departments to maintain smooth sales operations.

9. Work closely with the Purchase, Accounts, and Dispatch teams to ensure timely execution of order processing and delivery.

10. Support payment tracking, expense records, and documentation related to sales activities.

11. Maintain strong customer relationships through regular communication and service coordination

12. Any other work pertaining to purchase or commercial activities will be intimated time to time

Job Title: AI/ML Engineer

Expereince: 5+ Years

Location: Remote

Responsbilities

Algorithm Development:

• Design and develop cutting-edge algorithms for solving complex business problems.

• Collaborate with cross-functional teams to understand business requirements and translate them into effective AI/ML solutions.

Content Customization:

• Implement content customization strategies to enhance user experience and engagement.

• Work closely with stakeholders to tailor AI/ML models for specific business needs.

Data Collection and Preprocessing:

• Develop robust data collection strategies to ensure the availability of high-quality datasets.

• Implement preprocessing techniques to clean and prepare data for model training.

Model Training and Evaluation:

• Utilize machine learning frameworks such as TensorFlow, Pytorch, and Scikit Learn for model training.

• Conduct rigorous evaluation of models to ensure accuracy and reliability.

Monitoring and Optimization:

• Implement monitoring systems to track the performance of deployed models.

• Continuously optimize models for better efficiency and accuracy.

Data Analytics and Reporting:

• Leverage statistical modelling techniques to derive meaningful insights from data.

• Generate reports and dashboards to communicate findings to stakeholders.

Documentation:

• Create comprehensive documentation for algorithms, models, and implementation details.

• Provide documentation for training, deployment, and maintenance procedures.

Skills:

• 6+ years of experience in AI/ML engineering.
• Proficiency in Python and machine learning frameworks (TensorFlow, Pytorch, Scikit Learn).
• Experience in Natural Language Processing (NLP) and Computer Vision.
• Expertise in Generative AI techniques.
• Familiarity with cloud platforms such as Azure and AWS.
• Strong background in statistical modelling and content customization.
• Excellent problem-solving skills and ability to work independently.
• Strong communication and collaboration skills

finhence is hiring for the role of back-end web developement intern.

duration- 4 months

skills required - node.js, API , PHP etc

experience- freshers/ undergraduates can apply

Responsibilities: -

• Designing of look-books and visually stunning collateral
• Understanding client’s needs
• Create engaging and on-brand graphics for various social media platforms

Requirements

• 1+ year of work experience
• Hands-on experience with layout design
• Degree in Design, Fine arts or Related field
• Work from office in Mumbai

• Creating and processing invoices
• Cross-checking invoices with payments and expenses to ensure accuracy
• Managing a company's accounts payable and receivable
• Sending bills and invoices to clients
• Tracking organization expenses
• Processing refunds
• Working with collection agencies on overdue payments
• Communicating with clients regarding billing and payments
• GST returns
• TDS knowledge
• Tally Proficient