861 Data Mining Jobs - Page 27

Amazon s Global Catalog Operations team is looking for a customer focused Business Analyst to help us make the world s best product catalog even better. The successful candidate should be able to leverage the latest in data mining, predictive modeling and business analysis to discover key meaningful, actionable insights to improve our catalog quality. You have excellent quantitative and data analysis skills, good business acumen, curiosity to learn, superior communication skills, and the ability to use data and models to influence cross-functional teams. You have a strong bias toward data driven decision making, and an innate ability to understand how metrics relate to business problems and to each other. You are experienced with and excited by mining multiple large and complex datasets in order to deep dive and understand the root causes of problems and make recommendations. In this role, the Business Analyst will be responsible for leveraging data driven approach to proactively identify opportunities to improve the quality of Amazon s catalog by performing the following: Partner with technology leaders, program managers, operations leaders and other internal stakeholders globally to identify, quantify and solve for opportunities to improve Catalog Quality. Define, design, measure and present metrics / reports on different programs to Senior Level Management. Helping operations with regular and ad hoc query/ data ETL jobs and work on simplifying/ standardizing operational metrics and reporting Enable effective decision making by retrieving, aggregating and synthesizing massive data from multiple sources and compiling it into a digestible and actionable format. Develop solutions that utilize the highest standards of analytical rigor and data integrity. Analyze and solve business problems for understanding root causes and driving forward-looking opportunities Propose optimal techniques to sample massive product catalog for humans to audit different dimensions of data quality issues Establish relationship between output metrics and drivers in order to identify critical drivers and control critical drivers. Ability to write functional specs for tools and drive UAT for business requirements About the team High quality data powers unrivalled product discovery, informs customer buying decisions, offering a large selection. The quality of Amazon s product catalog is one of the most significant controllable inputs into building great customer experiences. Now take the world s largest product catalog and imagine how you could influence the experience for millions of customers on the world s largest e-commerce site. Amazon s Catalog Quality group own catalog quality. We combine customer behavior and expert knowledge to identify pathologies, define quality standards, and measure the state of the catalog. We build scalable solutions which improve both the buying and selling experiences at Amazon. - 1+ years of tax, finance or a related analytical field experience - 2+ years of complex Excel VBA macros writing experience - Experience defining requirements and using data and metrics to draw business insights - Experience with SQL or ETL - Knowledge of Python, VBA, Macros, Selenium scripts - Experience working with Tableau - Experience using very large datasets

As a Research Analyst, youll collaborate with experts to develop ML models leveraging big data solutions and Large Language Models (LLMs) for business needs. Youll drive product pilots, demonstrating innovative thinking and customer focus. Youll build scalable solutions, write high-quality code, and develop state-of-the-art ML models. Youll coordinate between science and software teams, optimizing solutions. The role requires thriving in ambiguous, fast-paced environments and working independently with ML models. Collaborate with seasoned Applied Scientists and propose best in class ML solutions for business requirements Dive deep to drive product pilots, demonstrate think big and customer obsession LPs to steer the product roadmap Build scalable solutions in partnership with Applied Scientists by developing technical intuition to write high quality code and develop state of the art ML models utilizing most recent research breakthroughs in academia and industry Coordinate design efforts between Sciences and Software teams to deliver optimized solutions Ability to thrive in an ambiguous, uncertain and fast moving ML usecase developments. Familiar with ML models and work independent. Mentor Junior Research Analyst (RAs) and contribute to RA hiring About the team Retail Business Services Technology (RBS Tech) team develops the systems and science to accelerate Amazon s flywheel. The team drives three core themes: 1) Find and Fix all customer and selling partner experience (CX and SPX) defects using technology, 2) Generate comprehensive insights for brand growth opportunities, and 3) Completely automate Stores tasks. Our vision for MLOE is to achieve ML operational excellence across Amazon through continuous innovation, scalable infrastructure, and a data-driven approach to optimize value, efficiency, and reliability. We focus on key areas for enhancing machine learning operations: a) Model Evaluation: Expanding LLM-based audit platform to support multilingual and multimodal auditing. Developing an LLM-powered testing framework for conversational systems to automate the validation of conversational flows, ensuring scalable, accurate, and efficient end-to-end testing. b) Guardrails: Building common guardrail APIs that teams can integrate to detect and prevent egregious errors, knowledge grounding issues, PII breaches, and biases. c) Deployment Framework support LLM deployments and seamlessly integrate it with our release management processes. - Bachelors degree in Quantitative or STEM disciplines (Science, Technology, Engineering, Mathematics) - 3+ years of relevant work experience in solving real world business problems using machine learning, deep learning, data mining and statistical algorithms - Strong hands-on programming skills in Python, SQL, Hadoop/Hive. Additional knowledge of Spark, Scala, R, Java desired but not mandatory - Strong analytical thinking - Ability to creatively solve business problems, innovating new approaches where required and articulating ideas to a wide range of audiences using strong data, written and verbal communication skills - Ability to collaborate effectively across multiple teams and stakeholders, including development teams, product management and operations. - Masters degree with specialization in ML, NLP or Computer Vision preferred - 3+ years relevant work experience in a related field/s (project management, customer advocate, product owner, engineering, business analysis) - Diverse experience will be favored eg. a mix of experience across different roles - In-depth understanding of machine learning concepts including developing models and tuning the hyper-parameters, as well as deploying models and building ML service - Technical expertise, experience in Data science, ML and Statistics

As a team member of the Group Sector Central Function Technology of ContiTech, you will be globally responsible to drive success of applied data science and effective usage in all areas of the organization. Design and implement innovative data-drive solutions to solve complex business problems, using cutting-edge techniques to build up customer centric platforms to reduce complexity, ensure standards, maximize cost savings as well as developing innovative material-driven solutions for a carbon-neutral and 100% circular product portfolio. You Consult on effectively applying Data Science methodology, technology, and good practices, complementing AI/DS platform owners, AI/DS sector owners, AI/DS project owners. Create and execute a global Data Science/Data Architecture strategy based on the overall CT Technology strategy together with the CFO IT Data Science team. Portfolio Management - Define the Process of Portfolio and bring it into execution Ideation Facilitator: Explore with Business Areas to keep the Use case pipeline filled continuously Develop best practices, guidelines, and standards for data science in collaboration with AI/DS stakeholders to build solutions. Maintain a deep understanding of the business and industry to identify emerging trends and research to actively drive technology opportunities. Work closely with cross-functional teams to identify opportunities for improving business performance and delivering impactful results. Develop and implement models and algorithms using machine learning, deep learning, natural language processing, and statistical analysis. Lead the development and implementation of data pipelines and infrastructure to support data analysis and modeling. Establish and maintain partnerships with internal and external partners. Optimize data-driven decision-making processes to enhance operational efficiency and effectiveness. Ensure data quality and integrity through rigorous validation and testing procedures. Mentor and train junior data scientists to build a strong and capable team. Your Qualifications University degree in Computer Science, Data Science, Mathematics, Statistics, or related fields. Extensive knowledge of data science techniques including descriptive and

Extract data from multiple sources, cleanse, transform and load the data into a central repository Analyze complex data and derive insights and foresights and present to leadership Create various reports, dashboards, and visualizations for design solutions Identify, analyze, and interpret trends, patterns, and relationships in complex data sets Identify process improvement opportunities and automate any manual tasks Must Have Skills: Bachelor s degree or equivalent with 2-5 years of experience in the following skills, tools & technologies including but not limited to Data cleansing, transformation and validation in Power BI using Power Query and loading the data into a relational database for further processing Writing complex SQL queries in any relational database environment like Oracle, MySQL etc. Experience in analyzing complex business data and deriving insights and creating dashboards, reports and visualizations using Power BI Data analysis using Microsoft Excel including but not limited to pivot tables, data cleaning and validation, VLOOKUP, text, date & time functions, data visualizations, sorting and filtering etc. Nice to Have Skills: Experience in supply chain, logistics, distribution, or related industry/environment. Experience in ETL tools like Pentaho, Informatica, SSIS etc., that includes data ingestion, transformation, cleansing and data loading. Experience in creating and understanding of data models. Experience in advanced analytics and tools like Python, R etc. Experience in visualization tools like Tableau. Adept at creating presentations and presenting them to stake holders, senior leadership etc. Understanding of machine learning, data mining and experience in algorithmic program development and coding

Data Analyst, Audience Analytics - Comscore, Inc. About This Role: Comscore India is looking for a new senior data analyst who will extract, transform, and analyse data, find insights and answer questions about the content of the data. This person will perform analytical hypothesis testing and modeling to provide key insight to internal and external clients. Other responsibilities include: supporting sales function by providing data expertise, feasibility reviews, and detailed analysis of questions raised by internal and external stakeholders. This more senior role involves the creation and innovation of Comscore s offerings to the marketplace and are responsible for managing and leading cross-functional teams of analysts. Some roles create and maintain internal and external user interface and reporting tools. These roles cross all Comscore product areas, including digital, mobile, OTT, and TV. Autonomously initiate and manage cross-functional projects Present findings to internal and external clients, peers, and upper management Work with cross-functional teams to implement QA methods; may work on improving user experience Participate in sales calls with clients to discuss potential custom research initiatives Provide support for pre-sales initiatives Manage the execution of custom research projects from outlined service order to completion Manage and perform multiple tasks under conditions of fluctuating workloads, competing requirements, and changing deadlines Identify process efficiencies and automation opportunities Validate custom analytics with external sources; understanding similarities and can explain differences Develop and enhance assigned products Mentor and train new team members 4-8 years of related experience in Data Mining, SQL,Python,PySpark,Scala. 1-2 years of experience with Comscore s offerings and research methods, and/or comparable experience in market research 1-2 years of experience managing projects Ability to partner, influence and impact others The regular hours for this position will cover a combination of business hours in the US and India typically 2pm-11pm IST. Occasionally, later hours may be required for meetings with teams in other parts of the world. Additionally, for the first 4-6 weeks of onboarding and training, US Eastern time hours (IST -9:30) may be required. Medical Insurance coverage is provided to our employees and their dependants, 100% covered by Comscore; Provident Fund is borne by Comscore, and is provided over and above the gross salary to employees; 26 Annual leave days per annum, divided into 8 Casual leave days and 18 Privilege leave days; Comscore also provides a paid Recharge Week over the Christmas and New Year period, so that you can start the new year fresh; In addition, you will be entitled to: 10 Public Holidays; 10 Sick leave days; 5 Paternity leave days; 1 Birthday leave day. Flexible work arrangements; Summer Hours are offered from March to May: Comscore offers employees the flexibility to work more hours from Monday to Thursday, and the hours can be offset on Friday from 2:00pm onwards; Employees are eligible to participate in Comscore s Sodexo Meal scheme and enjoy tax benefits; At Comscore, we re pioneering the future of cross-platform media measurement, arming organizations with the insights they need to make decisions with confidence. Central to this aim are our people who work together to simplify the complex on behalf of our clients & partners. Though our roles and skills are varied, we re united by our commitment to five underlying values: Integrity, Velocity, Accountability, Teamwork, and Servant Leadership. If you re motivated by big challenges and interested in helping some of the largest and most important media properties and brands navigate the future of media, we d love to hear from you. Comscore (NASDAQ: SCOR) is a trusted partner for planning, transacting and evaluating media across platforms. With a data footprint that combines digital, linear TV, over-the-top and theatrical viewership intelligence with advanced audience insights, Comscore allows media buyers and sellers to quantify their multiscreen behavior and make business decisions with confidence. A proven leader in measuring digital and set-top box audiences and advertising at scale, Comscore is the industry s emerging, third-party source for reliable and comprehensive cross-platform measurement. To learn more about Comscore, please visit Comscore.com. omscore is committed to creating an inclusive culture, encouraging diversity. If you have previously registered/applied with us and would like to edit or remove your profile, request information, or view the status of your application, please log in.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Data Science Consulting. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Big Data. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: Data Visualisation for Data Science. Experience5-8 Years.

The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BU’s sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. Mandatory Skills: Project Management. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy Mandatory Skills: ServiceNow - System Administration. Experience5-8 Years.

Responsibilities Lead the design, development, and deployment of machine learning and GenAI models with a strong focus on AWS AI architecture. Collaborate with cross-functional teams to identify business opportunities and develop data-driven solutions. Provide technical leadership and mentorship to the data science team. Conduct research and stay updated on the latest advancements in machine learning and artificial intelligence. Drive the implementation of best practices for data collection, preprocessing, and model evaluation. Communicate effectively with stakeholders to understand their requirements and translate them into actionable data science projects. Contribute to the development of data science strategies and roadmaps. Skill Requirements A minimum of 10+ years of experience in data science, with a focus on machine learning and artificial intelligence. Proven track record of leading and delivering complex data science projects. Expertise in building and deploying machine learning and GenAI models at scale using AWS AI services. Strong programming skills in languages such as Python, R, or Java, with proficiency in leveraging AWS AI SDKs and APIs. In-depth knowledge of statistical modeling, data mining, and predictive analytics. Mandatory Skills: Data Science. Experience5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customer’s business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Deliver NoPerformance ParameterMeasure1.Analyses data sets and provide relevant information to the clientNo. Of automation done, On-Time Delivery, CSAT score, Zero customer escalation, data accuracy

Job Area: Engineering Group, Engineering Group > Software Engineering General Summary: Join Qualcomms QCT PM Tools team to design and build scalable applications. As a Software Engineer/Senior Engineer, youll work across the full stack"”building intuitive UIs with Angular and robust back-end services using C# and .NET. You'll collaborate closely with cross-functional teams to deliver impactful tools used across the organization. Job Overview Develop and maintain full-stack applications using C#, .NET, Angular Design scalable, maintainable software modules with performance in mind Analyze user needs and translate them into high-quality software solutions Debug, optimize, and enhance existing tools Work with databases and REST APIs for system integrations Required Skills: Minimum Qualifications Bachelors degree in computer science engineering or related field. 4+ years Software Engineering or related work experience. Expertise on at least one Programming Language such as C#, Java, Python, etc. Experience in Web development (JavaScript, Angular, React, HTML 5, CSS, REST web services) Ability to design modules and applications independently taking quality and scalability into consideration. Knowledge of database, operating system, and algorithms design Preferred Qualifications Experience developing and supporting one or more products throughout all phases of the software development lifecycle. Experience working on cloud platforms such as AWS or Azure Having exposure to Data Engineering, Data Mining, Business Intelligence & Machine learning will be an added advantage. Minimum Qualifications: Bachelor's degree in Engineering, Information Systems, Computer Science, or related field and 2+ years of Software Engineering or related work experience. OR Master's degree in Engineering, Information Systems, Computer Science, or related field and 1+ year of Software Engineering or related work experience. OR PhD in Engineering, Information Systems, Computer Science, or related field. 2+ years of academic or work experience with Programming Language such as C, C++, Java, Python, etc. Applicants Qualcomm is an equal opportunity employer. If you are an individual with a disability and need an accommodation during the application/hiring process, rest assured that Qualcomm is committed to providing an accessible process. You may e-mail disability-accomodations@qualcomm.com or call Qualcomm's toll-free number found here. Upon request, Qualcomm will provide reasonable accommodations to support individuals with disabilities to be able participate in the hiring process. Qualcomm is also committed to making our workplace accessible for individuals with disabilities. (Keep in mind that this email address is used to provide reasonable accommodations for individuals with disabilities. We will not respond here to requests for updates on applications or resume inquiries). Qualcomm expects its employees to abide by all applicable policies and procedures, including but not limited to security and other requirements regarding protection of Company confidential information and other confidential and/or proprietary information, to the extent those requirements are permissible under applicable law. To all Staffing and Recruiting Agencies Please do not forward resumes to our jobs alias, Qualcomm employees or any other company location. Qualcomm is not responsible for any fees related to unsolicited resumes/applications. If you would like more information about this role, please contact Qualcomm Careers.

Job Title:Data Analyst Experience5-10 Years Location:Bangalore, Pune : SQL, Pyspark, Baning Domain, Data analyst

Job Title:Cobol Dev Experience:5-10Years Location:Bangalore : Technical Skills: 5 + Years of experience as ETL data developer in Informatica, CONNX, SQL Server, Oracle DB setup CONNX metadata for Eligibility and Billing tables. Design and develop informatica ETLs to convert IMF data to Certifi format, Eligibility file format and IMF Notes format Support reconciliation of data across MMC systems and Javelina/Certifi/AWS Archive Proficiency in designing, developing, and debugging ETL workflows and mappings. Experience with Informatica transformations like Source Qualifier, Expression, Lookup, Aggregator, and Filter. Familiarity with performance optimization techniques in Informatica (e.g., session tuning, partitioning). Experience in extracting data from SQL Server and writing it into delimited file formats like CSV. Knowledge of handling large datasets and ensuring efficient data movement. Familiarity with file-level operations like encoding, delimiter configuration, and column formatting. Skills in implementing robust error handling and logging mechanisms in ETL workflows. Ability to debug issues related to data extraction, transformation, or file generation Ability to work independently and as part of a team Non-Technical Skills: Candidate needs to be Good Team Player Effective interpersonal, team building and communication skills. Ability to communicate complex technology to no tech audience in simple and precise manner.

About the company At SBI Card, the motto Make Life Simple inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity inclusive employer and welcome employees without any discrimination on the grounds of race, color, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. What s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning development framework Role Purpose RSM in Distribution Sales is responsible for sales of various SBI Card products in an assigned geography through one or more of the channels available (Open Market, Cobrand, Tele Sales, Digital and LG). The geography consists of group of cities/state and is managed through a large team of 200-600 NFTEs being led by ASMs manning all distribution points available or the call center engaged in working on leads orginating from various digital journeys. The team span under this role would be a group of 3-6 ASMs and extended team of NFTEs comprising of Relationship Executives (RE), Team Leaders/Relationship Managers (TLs/RMs), Unit Managers and Back end team. This role can be a first step into people leader roles and naturally becomes a controller of business growth, channel relationship manager and a trainer to onboard and prepare a strong team of front line sales managers of SBI Cards. The role also doubles up as a vice captain to the head of zone (ZSM) when required. Role Accountability MOU Achievement (All KRAs as per Goal Sheet) : Deliver 30000-90000 new accounts annually Responsible for sales of Premium Cards with segmented focus to build up 3K/5K portfolio Cross-sell of various Insurance products Managing the cost of acquisition target, review absolute cost across heads, increase people productivity for optimal cost utilization Effectively coordinate with WE teams/PSA leads on NFTE hiring and monitor related attrition of people at all legs of the NFTE lifecycle Drive full digital journey penetration in sourcing including digital KYC Close monitoring of Sourcing Mix, Right product to be sold as per business directives Responsible for driving a team of FTEs to achieve their KRAs Sales Distribution Point Management - Organized, Unorganized Drive manning of all available Point of Sales Distribution points across formats of Organized Retail in Open Market, Cobrand Ecosystem Quality of man power ( grooming standards ) has to be as per the requirement of the Point of Sale Ensure diligent daily visit report ( DVR ) upload by ASMs in system ; betters engagement with NFTE Regular Visits to meet Cobrand Partners across products to improvise partner allignment to boost sales Extensive travel to locations, distribution points- identify new sourcing avenues in all formats of F2F sourcing under organized and un organized channels Review high cost, low productivity paid distribution points ; evaluate timely closure to save cost Have a BCP always ready for high dependent distribution points, to avoid business interruption in case of any issues Tele Sales Centers RSM managing a call center has prime responsibilty to operate at high productivity, up-stream operational efficiency and high customer satisfaction Need to ensure right allocation happens which involves allocating leads basis campaigns, product, headcount available, Re-churn logic for maximised output Data allocation happens on Dialer ( predictive, preview ) and manual dials Capture correct disposition of all consented leads routed to call centers - derive in in-line strategy for high productivity Drive higher efficiencies on Sprint Leads- Assisted, Good Cost Save opportunity Build strong analytical engine in respective centers, adequate data mining will help in high yield at an agent level Pace up fulfillment of within TAT, manage non caf locations doc executives with strong dedicated lead coordination team Regular training interventions to be done, this will help zeroise mis-selling by the agent - building customer trust on the phones is critical Ensure all company requirements, policies and processes are adhered as per satisfaction in both formats of Non F2F channels of Tele Sales LG Maintain high standards of Governance Model in the centers to ensure no lapses on companys policies procedures LG Management Fullfilment to be priortised within TAT via E-VKYC, helps the partner get confidence high trust Liase with LG RMs for enhancing productivity and output from all LGs Operations : Full blown backend processes are being run, helps manage quality of applications at dispatch, productivity of the shop gets reviewed at all levels Regular meetings, communications being sent on relevant changes to avoid wastage in the funnel at all levels Supervision Inflow, Processing, Dispatch of Applications Drive premium upsell from all backend shops to meet premium 3k/5k targets Closely track inward rates of all customer segments, strengthen PRA in individual pockets for high standards process controls in the complete Sales Funnel Liaison with Ops team for Capturing processing of Applications Supervision on RTB level by ensuring the team is reviewed consistently Inculcate the habit in team members to regularly analyse the declines restart opportunities that exists Manage fulfilment team of Lead Coordinators, Doc boys for all Non CAF locations for desired output Handholding grooming new ASMs; Maximize the delivery from the team through effective Planning, Monitoring, Giving Feedback and regular performance review Team Management : Motivating ASM s to achieve their goals along with imparting adequate process and product knowledge Monitoring NFTE teams performance getting desired productivity Encouraging competition Higher Goal Setting. Facilitating the same through Training, Coaching leading by example Exhibit strong team work and boundary less behavior while working with cross-functional teams Driving team connect/review training with regular and extensive travel in a widespread territory Educating Team of Company Policies, Compliance Guidelines, DOs DONTs on Regular Intervals Manpower Planning PSA Management : Assessment of adequate manpower considering as per plan with the right mix of Sourcing/Non Sourcing Engaging with the PSA and WE team spocs for continous hiring process Ensuring a positive environment is built in all location PSA offices to ensure the attrition levels are in check and teams perform to the desired levels of productivity Management of Expenses of PSA Offices through coordination with PSA WE Department Validation of Cost Ensuring Timely Payments Post Approvals Reimbursement Management Incentive Validation of NFTEs Training : Management of trainers in Coordination with Area training Managers Ensure Regular NHOs/Refreshers Product based Training for increasing Productivity Driving Key Initiatives Projects of the Company : Digital Sourcing - Driving team to adopt all New Digital Initiatives of the company by ensuring quick transition of extended sales teams by facilitating adequate trainings RE Digital Sourcing, key initiative being driven by all RSMs - helps with instant approval, reduces cost Regular identification of cost save opportunities and action, review consolidation for optimised cost benefit output Adherence to Compliance : To ensure teams and processes comply with all regulatory and business compliance policies rolled out by WE and Compliance teams Measures of Success Achievement Of MOU Goals New Accounts Premium Accounts Insurance Cross-Sell COA 4MOB Attrition % Digital Sourcing Team target achievement % of ASMs achieving their goals % Conversion Of leads Inward to Soft approved % of all channels Stake Holder Management Close collaboration with WE, Operations, FCU, IT Marketing teams VOC From Partners across formats of operations Complaints resolution Effective complaint channlesing and resolution on escalations, ensure all complaints are addressed as per agreed SLA/TAT Compliance Ensure sales compliance guidelines @ PSA level are adhered to Technical Skills / Experience / Certifications NA Competencies critical to the role Sales Management, Team Handling, Relationship Management, Analytical skills Qualification Graduate/PG (Preferrably) from any recognized and reputed institute Preferred Industry BFSI/Telecom/Any retail sales FMCG, CD etc.

About the company At SBI Card, the motto Make Life Simple inspires every initiative, ensuring that customer convenience is at the forefront of all that we do. We are committed to building an environment where people can thrive and create a better future for everyone. SBI Card is proud to be an equal opportunity inclusive employer and welcome employees without any discrimination on the grounds of race, color, gender, religion, creed, disability, sexual orientation, gender identity, marital status, caste etc. SBI Card is committed to fostering an inclusive and diverse workplace where all employees are treated equally with dignity and respect which makes it a promising place to work. What s in it for YOU SBI Card truly lives by the work-life balance philosophy. We offer a robust wellness and wellbeing program to support mental and physical health of our employees Admirable work deserves to be rewarded. We have a well curated bouquet of rewards and recognition program for the employees Dynamic, Inclusive and Diverse team culture Gender Neutral Policy Inclusive Health Benefits for all - Medical Insurance, Personal Accidental, Group Term Life Insurance and Annual Health Checkup, Dental and OPD benefits Commitment to the overall development of an employee through comprehensive learning development framework Role Purpose RSM in Distribution Sales is responsible for sales of various SBI Card products in an assigned geography through one or more of the channels available (Open Market, Cobrand, Tele Sales, Digital and LG). The geography consists of group of cities/state and is managed through a large team of 200-600 NFTEs being led by ASMs manning all distribution points available or the call center engaged in working on leads orginating from various digital journeys. The team span under this role would be a group of 3-6 ASMs and extended team of NFTEs comprising of Relationship Executives (RE), Team Leaders/Relationship Managers (TLs/RMs), Unit Managers and Back end team. This role can be a first step into people leader roles and naturally becomes a controller of business growth, channel relationship manager and a trainer to onboard and prepare a strong team of front line sales managers of SBI Cards. The role also doubles up as a vice captain to the head of zone (ZSM) when required. Role Accountability MOU Achievement (All KRAs as per Goal Sheet) : Deliver 30000-90000 new accounts annually Responsible for sales of Premium Cards with segmented focus to build up 3K/5K portfolio Cross-sell of various Insurance products Managing the cost of acquisition target, review absolute cost across heads, increase people productivity for optimal cost utilization Effectively coordinate with WE teams/PSA leads on NFTE hiring and monitor related attrition of people at all legs of the NFTE lifecycle Drive full digital journey penetration in sourcing including digital KYC Close monitoring of Sourcing Mix, Right product to be sold as per business directives Responsible for driving a team of FTEs to achieve their KRAs Sales Distribution Point Management - Organized, Unorganized Drive manning of all available Point of Sales Distribution points across formats of Organized Retail in Open Market, Cobrand Ecosystem Quality of man power ( grooming standards ) has to be as per the requirement of the Point of Sale Ensure diligent daily visit report ( DVR ) upload by ASMs in system ; betters engagement with NFTE Regular Visits to meet Cobrand Partners across products to improvise partner allignment to boost sales Extensive travel to locations, distribution points- identify new sourcing avenues in all formats of F2F sourcing under organized and un organized channels Review high cost, low productivity paid distribution points ; evaluate timely closure to save cost Have a BCP always ready for high dependent distribution points, to avoid business interruption in case of any issues Tele Sales Centers RSM managing a call center has prime responsibilty to operate at high productivity, up-stream operational efficiency and high customer satisfaction Need to ensure right allocation happens which involves allocating leads basis campaigns, product, headcount available, Re-churn logic for maximised output Data allocation happens on Dialer ( predictive, preview ) and manual dials Capture correct disposition of all consented leads routed to call centers - derive in in-line strategy for high productivity Drive higher efficiencies on Sprint Leads- Assisted, Good Cost Save opportunity Build strong analytical engine in respective centers, adequate data mining will help in high yield at an agent level Pace up fulfillment of within TAT, manage non caf locations doc executives with strong dedicated lead coordination team Regular training interventions to be done, this will help zeroise mis-selling by the agent - building customer trust on the phones is critical Ensure all company requirements, policies and processes are adhered as per satisfaction in both formats of Non F2F channels of Tele Sales LG Maintain high standards of Governance Model in the centers to ensure no lapses on companys policies procedures LG Management Fullfilment to be priortised within TAT via E-VKYC, helps the partner get confidence high trust Liase with LG RMs for enhancing productivity and output from all LGs Operations : Full blown backend processes are being run, helps manage quality of applications at dispatch, productivity of the shop gets reviewed at all levels Regular meetings, communications being sent on relevant changes to avoid wastage in the funnel at all levels Supervision Inflow, Processing, Dispatch of Applications Drive premium upsell from all backend shops to meet premium 3k/5k targets Closely track inward rates of all customer segments, strengthen PRA in individual pockets for high standards process controls in the complete Sales Funnel Liaison with Ops team for Capturing processing of Applications Supervision on RTB level by ensuring the team is reviewed consistently Inculcate the habit in team members to regularly analyse the declines restart opportunities that exists Manage fulfilment team of Lead Coordinators, Doc boys for all Non CAF locations for desired output Handholding grooming new ASMs; Maximize the delivery from the team through effective Planning, Monitoring, Giving Feedback and regular performance review Team Management : Motivating ASM s to achieve their goals along with imparting adequate process and product knowledge Monitoring NFTE teams performance getting desired productivity Encouraging competition Higher Goal Setting. Facilitating the same through Training, Coaching leading by example Exhibit strong team work and boundary less behavior while working with cross-functional teams Driving team connect/review training with regular and extensive travel in a widespread territory Educating Team of Company Policies, Compliance Guidelines, DOs DONTs on Regular Intervals Manpower Planning PSA Management : Assessment of adequate manpower considering as per plan with the right mix of Sourcing/Non Sourcing Engaging with the PSA and WE team spocs for continous hiring process Ensuring a positive environment is built in all location PSA offices to ensure the attrition levels are in check and teams perform to the desired levels of productivity Management of Expenses of PSA Offices through coordination with PSA WE Department Validation of Cost Ensuring Timely Payments Post Approvals Reimbursement Management Incentive Validation of NFTEs Training : Management of trainers in Coordination with Area training Managers Ensure Regular NHOs/Refreshers Product based Training for increasing Productivity Driving Key Initiatives Projects of the Company : Digital Sourcing - Driving team to adopt all New Digital Initiatives of the company by ensuring quick transition of extended sales teams by facilitating adequate trainings RE Digital Sourcing, key initiative being driven by all RSMs - helps with instant approval, reduces cost Regular identification of cost save opportunities and action, review consolidation for optimised cost benefit output Adherence to Compliance : To ensure teams and processes comply with all regulatory and business compliance policies rolled out by WE and Compliance teams Measures of Success Achievement Of MOU Goals New Accounts Premium Accounts Insurance Cross-Sell COA 4MOB Attrition % Digital Sourcing Team target achievement % of ASMs achieving their goals % Conversion Of leads Inward to Soft approved % of all channels Stake Holder Management Close collaboration with WE, Operations, FCU, IT Marketing teams VOC From Partners across formats of operations Complaints resolution Effective complaint channlesing and resolution on escalations, ensure all complaints are addressed as per agreed SLA/TAT Compliance Ensure sales compliance guidelines @ PSA level are adhered to Technical Skills / Experience / Certifications NA Competencies critical to the role Sales Management, Team Handling, Relationship Management, Analytical skills Qualification Graduate/PG (Preferrably) from any recognized and reputed institute Preferred Industry BFSI/Telecom/Any retail sales FMCG, CD etc.

5-10 years of experience in database development or a related field. Proven experience with database design, development, and management. Experience working with large-scale databases and complex data environments Experience with data modelling and database design. Knowledge of database performance tuning and optimization. Architect, Develop and maintain tables, views, procedures, functions and packages in Database MUST HAVE Performing complex relational databases queries using SQL (AWS RDS for PostgreSQL) and Oracle PLSQL MUST HAVE Familiarity with ETL processes and tools (AWS Batch, AWS Glue etc) MUST HAVE Familiarity with CI/CD Pipelines, Jenkins Deployment, Git Repository MUST HAVE Perform in performance tuning. Proactively monitor the database systems to ensure secure services with minimum downtime and improve maintenance of the databases to include rollouts, patching, and upgrades. Experience with Aurora's scaling and replication capabilities. MUST HAVE Proficiency with AWS CloudWatch for monitoring database performance and setting up alerts. Experience with performance tuning and optimization in AWS environments MUST HAVE Experience using Confluence for documentation and collaboration. Proficiency in using SmartDraw for creating database diagrams, flowcharts, and other visual representations of data models and processes. MUST HAVE Proficiency in using libraries such as Pandas and NumPy for data manipulation, analysis, and transformation. Experience with libraries like SQLAlchemy and PyODBC for connecting to and interacting with various databases. MUST HAVE Python programming language MUST HAVE Agile/Scrum , Communication (Spoken English, clarity of thought) Big Data, Data mining, machine learning and natural language processing

As a BDE, you will play a crucial role in the early stages of the sales cycle. Youll be responsible for identifying potential customers, reaching out to them, and qualifying leads to build a robust pipeline for our Account Executives. This is a great opportunity for someone looking to advance their career in cloud and DevOps-related sales. Key Responsibilities Prospect Research & Data Mining: Identify potential leads and gather contact information through various tools (LinkedIn, ZoomInfo, industry databases). Cold Calling & Outreach: Initiate outbound calls, emails, and LinkedIn messaging to engage prospects and introduce our cloud and DevOps offerings. Qualify Leads: Assess prospect needs and ensure a proper fit with our services. Qualify leads based on defined BANT criteria and pass them to senior sales reps for further nurturing. Lead Handoff: Transition qualified leads to Account Executives, ensuring smooth handover with accurate prospect information. CRM Management: Maintain and update all lead data in the CRM system, tracking interactions and the status of each lead. Achieve Targets: Meet and exceed monthly KPIs related to prospecting, lead qualification, and call volume. Qualifications Education: Bachelors degree in Business, Marketing, Communications, or related field (or equivalent work experience). Experience: 1-3 years of experience in business development, sales, or lead generation (tech industry preferred). Strong Communication Skills: Excellent verbal and written communication skills, with the ability to build rapport quickly. Tech-Savvy: Familiarity with AWS cloud services, DevOps, or SaaS solutions is a plus. Goal-Oriented: Self-starter with a results-driven attitude and the ability to handle rejection. Organized & Detail-Oriented: Ability to manage multiple leads and stay organized in a fastpaced environment. CRM Experience: Experience using CRM tools like HubSpot, Salesforce, or Zoho is preferred. Problem-Solving Skills: Ability to understand customer pain points and propose initial solutions.

Key Responsibilities: Analyze large volumes of real-time operational data to derive meaningful insights for business decision-making. Build data models to analyze key performance indicators (KPIs) such as productivity, utilization, and fill rates. Prepare targets based on scheduling, demand, and forecast analysis at the unit level with micro-level details. Provide day-level analysis of various KPIs at city and client levels, tracking plan vs. actual performance daily, identifying variance root causes, and offering recommendations. Develop quick dashboards based on ad hoc requirements using Google Sheets, Power BI, or Tableau Prepare monthly operating plans in collaboration with city heads. Work closely with cross-functional teams to improve business processes through data-driven insights. Support the development of the Annual Operating Plan (AOP) and corporate decks. Required Skills & Qualifications: 6+ years of experience in Operational Analytics within logistics or a related industry. Strong expertise in data analytics, data modeling, and real-time data analysis. Proficiency in Python, Excel, SQL, Macros, VBA, Power BI, and Tableau with hands-on data mining experience. Ability to process and analyze large datasets to extract actionable insights. Experience in AOP planning and business forecasting. Understand the day to day business problem, analyse the problem/issues through data. Get hands dirty get into the detail and come up with the detailed analysis and variance Strong communication skills to present insights effectively to stakeholders.

Job Role: Minimum 3 years of previous industry work experience will be preferred •In-depth understanding of database structure principles. • Knowledge of data mining and segmentation techniques, expertise in SQL and Oracle. • Familiarity with data visualization and data oriented. • Ability to document complex business processes and handle all types of customer requests. • Good communication skill in English; Math & Statistical analysis, ability to interpret and collate relevant data. • Should have working experience on on-premises and cloud-based data infrastructure handling large and diverse datasets • Experience in one or more of the below technologies is preferred • AWS/GCP/Azure • Kubernetes/Docker Swarm • Apache Hadoop & Apache Spark • Elastic Stack/Elk • Airflow / Prefect • MongoDB, Cassandra, Redis, Memcached and DynamoDB • MySQL, Cassandra, and Oracle SQL • PowerBI/Tableau/Qlik view

As a BDE, you will play a crucial role in the early stages of the sales cycle. Youll be responsible for identifying potential customers, reaching out to them, and qualifying leads to build a robust pipeline for our Account Executives. This is a great opportunity for someone looking to advance their career in cloud and DevOps-related sales. Key Responsibilities Prospect Research & Data Mining: Identify potential leads and gather contact information through various tools (LinkedIn, ZoomInfo, industry databases). Cold Calling & Outreach: Initiate outbound calls, emails, and LinkedIn messaging to engage prospects and introduce our cloud and DevOps offerings. Qualify Leads: Assess prospect needs and ensure a proper fit with our services. Qualify leads based on defined BANT criteria and pass them to senior sales reps for further nurturing. Lead Handoff: Transition qualified leads to Account Executives, ensuring smooth handover with accurate prospect information. CRM Management: Maintain and update all lead data in the CRM system, tracking interactions and the status of each lead. Achieve Targets: Meet and exceed monthly KPIs related to prospecting, lead qualification, and call volume. Qualifications Education: Bachelors degree in Business, Marketing, Communications, or related field (or equivalent work experience). Experience: 1-3 years of experience in business development, sales, or lead generation (tech industry preferred). Strong Communication Skills: Excellent verbal and written communication skills, with the ability to build rapport quickly. Tech-Savvy: Familiarity with AWS cloud services, DevOps, or SaaS solutions is a plus. Goal-Oriented: Self-starter with a results-driven attitude and the ability to handle rejection. Organized & Detail-Oriented: Ability to manage multiple leads and stay organized in a fast-paced environment. CRM Experience: Experience using CRM tools like HubSpot, Salesforce, or Zoho is preferred. Problem-Solving Skills: Ability to understand customer pain points and propose initial solutions.

Job Type: Full-time What Youll Be Doing: Conduct in-depth research on potential companies using platforms such as CrunchBase, ZoomInfo, Sales Navigator, etc Identify potential companies and key contacts using various data platforms as per strategy defined by the company. Maintain and update Database using CRM. Create reports as per needs. What You Bring to the Table: Proven experience with lead generation platforms like LinkedIn Sales Navigator, ZoomInfo etc. Proficiency in Microsoft Office tools, especially Word, Excel, and Outlook. Prior experience in data gathering and research, preferably for an IT or tech company. Willingness to work full-time from the office. Experience with CRM tools (such as HubSpot, Salesforce, Zoho, etc.) is a plus.

Asteria Aerospace Ltd is a full-stack drone technology company providing actionable intelligence from aerial data. We develop deeply customized drone solutions for government and enterprise customers using our in-house hardware design, software development, and manufacturing capabilities. We have been a trusted partner to provide long-term and quality-focused drone products & services to the defense & homeland security, agriculture, oil & gas, energy & utilities, telecommunications, mining, and construction sectors. Our drone solutions protect borders and facilities, improve farm yields, inspect critical assets, and monitor construction sites using the power of aerial intelligence. Asteria Aerospace is a subsidiary of Jio Platforms Ltd, which is a majority-owned subsidiary of Reliance Industries Ltd. If drones excite and inspire you, we would love to have you as a part of our growing team of change-makers. Don't simply watch the latest tech unfold, be a part of creating the future with us!Our Values :Take Charge Build Trust Thrive Together Pursue Excellence Focus on Quality RoleManager - Bid management & Business Development About The Role This position is responsible for helping Asteria build on its competitive advantage in the Indian Drone market. Job will involve selection and identification of tenders as per Asteria's products and capabilities. He/ She will be responsible for tender identification, review & bid preparation, bid submissions and all actions pertaining and management approval and record keeping of tender documents. He/she will also be responsible enhancing Asteria's revenue by undertaking other business development activities listed below Specific Responsibilities 1. Understand Asteria's company profile, products & offerings. 2.Find, evaluate, and qualify tenders on various online portals including GeM and other e-procurement portals.3.Carry out Techno-Commercial bid review and preparation of check lists.4. Prepare requisite documents for management approval5. Handle relevant documentation to submit proposals and bids on-time.6. Carry out post bid record keeping of all tenders in CRM7. Prepare necessary reports and returns as sought by the management8. Pitch Asteria's products and solutions suite to potential leads.9. Schedule & attend meetings with customers across the country to further business.10. Undertake product demos on-Customer site to showcase the technical capabilities of the drones.11. Generate leads and convert them into opportunities and orders.12. Participate in exhibitions while representing the company. Qualifications: Engineering background (BE/B. Tech in any field) Relevant Experience5 years Desired Skills & Characteristics: 1. Thorough knowledge of tendering process and experience of having carried of bidding on e-portals2. Good knowledge of MS office3. Experience working with drone technology will be preferred.4. Excellent presentation & communication skills.5. Relevant experience involves having a strong track record in meeting Sales targets in a B2B+B2G technical sales environment.6. Intellectual, confident, curious, fast learner.7. Open to frequent domestic travel at client locations. 8. Strong analytical and quantitative business skills. This job opening was posted long time back. It may not be active. Nor was it removed by the recruiter. Please use your discretion.

- Asteria Aerospace Ltd is a full-stack drone technology company providing actionable intelligence from aerial data. - We develop deeply customized drone solutions for government and enterprise customers using our in-house hardware design, software development, and manufacturing capabilities. - We have been a trusted partner to provide long-term and quality-focused drone products & services to the defense & homeland security, agriculture, oil & gas, energy & utilities, telecommunications, mining, and construction sectors. - Our drone solutions protect borders and facilities, improve farm yields, inspect critical assets, and monitor construction sites using the power of aerial intelligence. - Asteria Aerospace is a subsidiary of Jio Platforms Ltd, which is a majority-owned subsidiary of Reliance Industries Ltd. - He/ She will be responsible for account identification, account management, Sales targets, opportunity building, Hunting and Farming, billing and revenue, and all actions pertaining and management of sales processes. - He/she will also be responsible enhancing Asteria's revenue by undertaking other business development activities listed below. - Understand Asteria's company profile, products & offerings. - Find, evaluate, and qualify opportunities in the segment/region assigned - Handle sales accounts from seeding to closure on-time. - Carry out post bid record keeping - Pitch Asteria's products and solutions suite to potential leads. - Schedule & attend meetings with customers across the country to further business. - Facilitate product demos on-Customer site to showcase the technical capabilities of the drones. - Generate leads and convert them into opportunities and orders. - Participate in exhibitions while representing the company. Apply Save Save Pro Insights