Face 2 Face Interview ( Digital Marketing Manager )

About the Company

MyOperator is a Business AI Operator and category leader that brings WhatsApp, voice calls, and AI-powered chat & voice bots together into one unified business communication platform.

Unlike fragmented tools, MyOperator combines automation, intelligence, and workflow integration to help businesses run WhatsApp campaigns, manage calls, deploy AI chatbots, and track performance — all from a single no-code platform.

Trusted by 12,000+ brands, including Amazon, Domino’s, Apollo, and Razorpay, MyOperator enables faster customer responses, higher resolution rates, and scalable engagement without increasing headcount.

Role Overview

We are looking for a high-ownership Operations Intern who wants hands-on exposure to backend operations at a fast-growing AI SaaS company. This is not a shadow internship you will work on real operational responsibilities and will be considered for full-time opportunity upon successful completion of the internship. The tenure of internship will be of 6 months at Noida Sec 2

Key Responsibilities

• Support coordination with telecom operators and data center partners
• Assist in vendor management and asset tracking
• Handle operational requests and queries through the ticketing system
• Support basic troubleshooting of assets and infrastructure (with guidance)
• Assist with day-to-day administrative and backend operations
• Ensure smooth execution of operational processes in a fast-paced environment

Who Should Apply

• Graduates (BBA preferred; B.Com / BA / BSc are welcome)
• 0–1 year of experience or strong internship exposure in operations
• Strong communication and coordination skills
• Comfortable working with MS Excel, Word, and PowerPoint
• Willingness to learn technical and operational systems
• Ability to take ownership and work independently

What You Get

• Hands-on exposure to AI SaaS, telecom, and infrastructure operations
• A steep learning curve with direct interaction with cross-functional teams
• Laptop reimbursement

About Position We are seeking an experienced, senior IT professional in the capacity of Senior Business Intelligence Analyst within the Data Products team. Analysts will lead efforts to concisely and accurately capture, synthesize and analyze requirements, evaluate options to leverage existing technology investments, assist with evaluation and selection of new technologies, identify alignment opportunities and work with change agents, developers and testers to ensure projects achieve their objectives. The role requires close collaboration between business leaders and Data Engineers aligned to each of our Value Streams/ Business Domains across (Marketing, Manufacturing, Design & Engineering etc). Qualification: • Bachelor’s degree or experience in Computer Engineering, Computer Science, Information Systems, Data Science, or a related digital, analytical, or IT field. • Hold 5 to 8 years of professional experience. • Strong problem-solving and analytical skills. • Excellent communication and collaboration skills. • Ability to manage time effectively and prioritize tasks to meet deadlines. Responsibilities: • Collaborate with Business Domain/ Value Stream aligned Data Product Managers and identify opportunities to provide business intelligence, strategy and planning services to business stakeholders, determine the best approach for engagement and deliverables and gain commitment from stakeholders to proceed. • Work with business users to understand their use cases, functions and processes and help them define business intelligence, analytics and reporting requirements. • Design and develop user friendly and interactive dashboards to support business decision makers in making informed choices. • Develop and modify reports, verify information integrity and design BI dashboards, scorecards, charts/ graphs, drilldowns, and dynamic reports to meet product definitions. • Work with business units and functional partners to identify, prioritize, clearly define and document analytical needs, while maintaining perspective on the ultimate KPIs of the organization. • Collect, aggregate and analyze quantitative and qualitative data to drive insights on system performance. • Advise the Data Engineering and BI development team on the translation of business requirements into technical specifications. • Support the roll out of new BI products and provide end user training on the usage of dashboards and reports. • Regularly present and share findings with stakeholders to evangelize Business Intelligence tools and strategies. • Help to ensure that there is a continuous feedback loop which will drive user experience improvements and user adoption of BI tools. • Provide a mechanism for reporting the success or failure of a product against its value proposition. • Ensure design and branding consistency across various data visualization solutions, dashboards and reports. • Promote reuse of solutions or solution components through good documentation and design solutions. • Contribute to the ongoing maturity of the Data Product Teams operating model, methods and deliverables. • Perform detailed data analysis for assets in Databricks and evaluate them for quality and completeness for building data products. • Perform SQL-based data extraction, data validation, and data analysis. • Collaborate with Data Modeling and Power BI teams to design and deliver scalable reporting and analytics solutions. • Write user stories and define acceptance criteria to support Agile development of business requirements in Azure Dev Ops. • Work on a variety of initiatives related to Data Democratization operations. • Troubleshoot problems or issues and provide support to the data engineering team. Required Knowledge, Skills, and Abilities: • Experience leading product envisioning sessions and capturing business requirements (identifying operating models, business processes, services, capabilities, etc.) and modeling them in live and interactive sessions. • Ability to interact, influence, and communicate across all organizational levels including business team executives, subject matter experts and technical resources. • Ability to visually summarize multi-dimensional complex data into simple to understand information. • Strong presentation and business story-telling skills with the ability to create dashboards reports. • Technical aptitude with strong logical, problem solving, negotiation and decisionmaking skills. • Ability to map data using disparate data sources such as flat files, databases, XML files and/or unstructured data. • Advanced Excel skills, including V Lookups, pivot tables, charting, formulas, and data manipulation. • Strong analytical and project management skills with demonstrated ability to prioritize track and deliver results. • 5-8 years in IT roles spanning business analysis, business intelligence, strategy, project management and delivery functions. • Experience with the planning, envisioning and facilitation of executive-level strategic or IT planning workshops. • Experience across all layers of system architecture (business, data, information systems, infrastructure) with a focus on Business Intelligence. • Excellent interpersonal skills especially in areas of teamwork, facilitation, influence, and negotiation. • Excellent verbal and written presentation skills, and a high level of competency with Business Intelligence Tools. Preferred Knowledge, Skills, and Abilities: • Experience creating visual dashboards with large and complex datasets using business intelligence tools like Power BI and Tableau. • Experience interpreting data from a business perspective and communicating those insights to nontechnical business partners. • Strong understanding of data governance controls, process and procedures, centers of competency, change management, conceptual data modeling, master data management, data standardization and stewardship, information integrity, compliance and data quality. • Experience with data mining techniques such as scenario modeling, pattern detection, A/B testing, nearest neighbor, cluster analysis, sentiment analysis, decision trees, optimization, simulation, regression analysis, deep learning and other types of analysis. • Experience working in an AGILE environment (SCRUM and Kanban) and practical knowledge of project management. • Strong quantitative, analytical and interpretive skills

Job Title: Customer Support Executive

Location: Koramangala, Bengaluru

CTC: ₹4.5 LPA (₹32,500 In-hand) + Additional Incentives

Working Days: 6 Days a Week

Week Off: Rotational Weekend Off

Shift: Rotational Shifts (may extend till 11:00 PM – 12:00 AM)

Job Summary

We are looking for a proactive and customer-focused Customer Support Executive to join our team in Bengaluru. The ideal candidate will be responsible for handling customer queries, providing timely resolutions, and ensuring a positive customer experience. This role requires excellent communication skills, problem-solving ability, and a customer-first approach.

Key Responsibilities

1. Customer Interaction

• Handle inbound and outbound customer queries through calls, emails, and chat.
• Provide accurate information about products, services, and processes.
• Ensure prompt and effective resolution of customer concerns.

2. Issue Resolution

• Identify customer problems and provide appropriate solutions within defined timelines.
• Escalate complex issues to relevant internal teams when necessary.
• Follow up with customers to ensure issue resolution and satisfaction.

3. Customer Experience

• Maintain a professional and empathetic approach while interacting with customers.
• Build positive relationships with customers to enhance satisfaction and retention.
• Ensure adherence to service quality standards and company policies.

4. Documentation & Reporting

• Maintain accurate records of customer interactions in the CRM system.
• Document feedback and share insights with relevant teams to improve services.

Required Skills & Qualifications

• Bachelor’s degree in any discipline.
• 6 months–3 years of experience in customer support, customer service, or a similar role.
• Excellent verbal and written communication skills.
• Strong problem-solving and interpersonal skills.
• Ability to handle multiple tasks in a fast-paced environment.
• Basic knowledge of CRM tools and MS Office is preferred.

What We Offer

• Competitive salary with performance-based incentives.
• Opportunity to work in a dynamic and growth-oriented environment.
• Exposure to customer experience and service operations.

• Leveraging your deep knowledge to provide technical leadership to take projects from zero to completion
• Architecting, building and maintaining scalable data pipelines and accessing patterns related to permissions and security
• Researching, evaluating and utilising new technologies/tools/frameworks centred around high-volume data processing
• Involving in building and deploying large scale data processing pipelines in a production environment
• Working with data scientists and other engineers to develop data pipelines for model development and productization
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Providing inputs on right tool options and model designs for use cases
• Identifying gaps and implementing solutions for data security, quality and automation of processes
• Designing scalable implementations of the models developed by our Data Scientists

Desired Candidate Profile

• 3+ years strong programming experience in PySpark and Python
• Knowledge in Python, SQL, Spark (Pyspark)
• Exposure to AWS/ Azure cloud tools and services like S3 Athena, Apache Nifi, Apache Airflow
• Analytical and problem-solving skills
• Knowledge in Scrum & code sharing Tech: Git, Jira
• Experience related to processing frameworks such as Spark, Spark Streaming, Hive, Sqoop, Kafka etc
• Deep understanding of measuring and ensuring data quality at scale and the required tooling to monitor and optimise the performance of our data pipelines
• Experience building data pipelines and data-centric applications using distributed storage platforms and shipping data production pipelines sourcing data from a diverse array of sources