1.Conduct market research and competitor analysis to understand the evolving insurance landscape, customer needs, and competitor offerings relevant to the telecommunications sector. 2.Analyze customer data (usage patterns, demographics, claims history) to identify customer segments, risk profiles, and opportunities for new or improved insurance products. 3.Develop and maintain product requirements documents (PRDs) that clearly define the features, functionalities, and user experience (UX) for insurance products. 4.Work with cross-functional teams (marketing, sales, engineering) to gather feedback and ensure product development aligns with business objectives. 5.Partner with the Revenue Insurance Analyst to analyze sales data, identify trends, and use insights to optimize product pricing, packaging, and go-to-market strategies. 6.Conduct user research and usability testing to ensure insurance products are user-friendly and meet customer expectations. 7.Develop and maintain product roadmaps for insurance products, prioritizing features and functionalities based on market needs and business goals. 8.Track and analyze product performance metrics (adoption rates, customer satisfaction, revenue generation) and use insights to continuously improve product offerings. 9.Stay informed about industry trends and innovations in insurance products and telecommunications services.
1.Collect, analyze, and interpret sales data related to insurance products (sales volume, customer adoption rates, revenue generated, etc.). 2.Develop and maintain reports and dashboards to track key performance indicators (KPIs) for insurance products, such as conversion rates, churn rates, and customer lifetime value (CLTV). 3.Identify trends and patterns in sales data to understand customer behavior, product performance, and market dynamics. 4.Support the Product Manager and Commercial Manager by providing data-driven insights to inform product development, pricing strategies, and sales & marketing campaigns. 5.Conduct market research and competitor analysis to benchmark our insurance products and identify opportunities for improvement. 6.Assist with forecasting future revenue potential for insurance products based on historical data and market trends. 7.Work with the IT team to develop and maintain data pipelines and reporting tools for insurance products. 8.Communicate complex data findings and insights to stakeholders in a clear and concise manner through reports, presentations, and visualizations.
1.Partner with the Sales and Marketing teams to develop effective sales & marketing campaigns to promote insurance products and educate customers about their benefits. 2.Establish and manage key performance indicators (KPIs) to track sales performance, customer penetration, and revenue growth for insurance products. 3.Develop and manage relationships with key distribution partners (retailers, agents, brokers) to ensure effective promotion and sales of insurance products. 4.Negotiate and establish mutually beneficial partnership agreements with distribution channels. 5.Provide ongoing training and support to partners to ensure they have the knowledge and resources to effectively sell insurance products. 6.Collaborate with the Product team to develop competitive and profitable pricing strategies for insurance products. 7.Monitor market trends and competitor pricing to ensure our insurance offerings remain attractive to customers. 8.Partner with the Finance team to develop and implement revenue forecasting and budgeting models for insurance products. 9.Generate regular reports and presentations to communicate sales performance, customer acquisition costs (CAC), and revenue generated from insurance products to stakeholders. 10.Analyze market data and customer feedback to identify new growth opportunities and areas for product or pricing improvement.
1.Conduct market research and competitor analysis to identify customer needs and opportunities for new or improved insurance products. 2.Develop and manage the product roadmap for specific insurance products (e.g., device insurance, service interruption insurance), ensuring alignment with the overall product strategy. 3.Define product requirements, features, and functionalities based on customer insights and business objectives. 4.Work cross-functionally with marketing, sales, customer service, and insurance partners to bring products to market. 5.Manage the product development lifecycle, from concept to launch and post-launch optimization. 6.Track and analyze product performance metrics (adoption rates, customer satisfaction, revenue generation) and use insights to continuously improve product offerings. 7.Develop and manage product launch plans, ensuring a smooth and successful product introduction. 8.Create and maintain product documentation for internal and external stakeholders. 9.Stay informed about industry trends and innovations in insurance products and telecommunications services.
1.Develop and manage a comprehensive product roadmap for device insurance, service interruption insurance, and other relevant insurance products. 2.Lead the product development process, from market research and competitor analysis to product launch and post-launch optimization. 3.Ensure products meet customer needs, align with business objectives, and comply with industry regulations. 4.Partner with Marketing, Sales, and Customer Service to ensure a seamless customer experience throughout the insurance lifecycle. 5.Develop and implement a data-driven revenue strategy to maximize insurance product adoption and revenue generation. 6.Establish and manage key performance indicators (KPIs) to track insurance product sales, customer penetration, and revenue growth. 7.Develop and execute pricing strategies that are competitive, profitable, and attractive to customers. 8.Lead cross-functional initiatives to drive product awareness, adoption, and upsell/cross-sell opportunities across all customer touchpoints. 9.Develop and manage strategic partnerships with insurance providers to offer high-quality and cost-effective insurance products to our customers. 10.Negotiate contract terms, manage service level agreements (SLAs), and ensure a mutually beneficial partnership. 11.Oversee the integration of insurance products and services with our existing billing and customer management systems. 12.Leadership and Management: 13.Provide strategic direction and leadership for the Product & Revenue Insurance team, fostering a collaborative and results-oriented work environment. 14.Recruit, develop, and mentor a high-performing team of product managers, marketing specialists, and revenue generation professionals. 15.Stay informed about industry trends and best practices in insurance products and revenue generation strategies for the telecommunications sector
1.Design, develop, and implement data pipelines for efficient data collection, processing, storage, and transformation from various sources (customer data, network data, call records, etc.). 2.Utilize data engineering tools and technologies (e.g., Apache Spark, Hadoop) to build scalable and reliable data infrastructure. 3.Work with Data Scientists and BI Analysts to understand data requirements and design data pipelines that meet their specific needs. 4.Implement data quality checks and ensure data accuracy and consistency throughout the data lifecycle. 5.Automate data processing tasks and workflows to increase efficiency and reduce manual errors. 6.Monitor and optimize data pipelines to ensure high performance and scalability. 7.Collaborate with the IT team to ensure proper data security and access controls are in place. 8.Stay up-to-date on the latest advancements in data engineering technologies and best practices.
Ensure that HSE procedures, programs, policies and processes are executed and standard are to be maintained at every phase of site. Coordinate with sub com observations, request and complaints. Provide and submit to HSE team of Customer for HSE reports on daily, weekly and monthly Conducts safety training and briefing. Acts as the environmental officer for the project.
1.Partner with stakeholders across the organization (CVM, Marketing, Sales, Network Operations) to understand business challenges and translate them into data-driven problems. 2.Design, develop, and implement machine learning models and algorithms to analyze large datasets from various sources (customer data, network data, call records, etc.). 3.Utilize data analysis tools (e.g., Python, R) and big data technologies (e.g., Spark) to clean, prepare, and analyze complex data sets. 4.Conduct exploratory data analysis (EDA) to identify trends, patterns, and hidden insights within customer and business data. 5.Develop and implement data pipelines for efficient data collection, processing, and storage. 6.Build and deploy data science solutions into production environments to ensure scalability and real-time decision-making capabilities. 7.Communicate complex data findings and insights to technical and non-technical audiences through clear reports, visualizations (e.g., charts, graphs), and presentations. 8.Stay up-to-date on the latest advancements in data science, machine learning, and big data technologies. 9.Recommend and implement new data science tools and technologies to enhance data analysis capabilities. 10.Collaborate with the BI team and other departments to ensure alignment between data science initiatives and overall business objectives.
1.Assist the BI Manager in developing and implementing the overall BI strategy aligned with the company's objectives. 2.Extract, transform, and load (ETL) data from various sources (CRM, network data, marketing platforms, etc.) into data warehouses and data marts. 3.Develop and maintain reports, dashboards, and visualizations using BI tools (e.g., Tableau, Power BI) to communicate complex data insights to stakeholders in a clear and concise manner. 4.Support the CVM team and other departments (Marketing, Sales, Product Development) by providing data analysis and reporting on customer behavior, trends, and KPIs. 5.Write and maintain SQL queries to extract and analyze relevant data for specific business needs. 6.Conduct data quality checks and ensure data accuracy and consistency across the organization. 7.Stay up-to-date on the latest BI tools and technologies and recommend improvements to data management and analysis capabilities. 8.Collaborate with the BI team and other departments to ensure a smooth workflow and successful implementation of BI initiatives