We currently have an opportunity for a Business Development Manager to join Pay to Publish - Open Research India commercial team. This is an individual contributor role. Looking for a Business Development Manager for Open Access Publication for Taylor and Francis Group Division. Responsibilities involve Account Management, hunting new accounts maximize sales pipeline by representing Open Research Publication Avenues to Research Organizations, Leading Higher Education Institutions & Societies, Corporate & Research Funders engaged in Research Grants. Key Accountabilities: Deliver sales target by selling Open Access Research Publishing Solutions to the leading Research Institutions, Universities, Societies, and drive APC (Article Processing Charges) revenue on to open access/research platforms. Develop Account Management Strategy from the target customers/segments in the region in adherence to Open Research Publishing global commercial strategy with core focus to sell Open Access memberships, F1000 Platforms, Gateways, and Pre-paid APC packages. Develop & manage relationships with key stakeholders including but not limited to Head of Organizations, Research Heads, Directors, Vice Chancellors, Heads of departments/Academic Dean of key academic institutions having sizable Gold OA output in the region. Periodically reporting to manager on sales progress and the business environment, thus ensuring responsiveness to both the micro and macro business environments. Work closely with the Business Liaison team to extend a robust post-sales support to existing clients. Actively liaise with stakeholder departments or groups within the business to enhance seamless service delivery to customers includes credit control, editorial, marketing and sales support Attending relevant conferences and events to build relationships and prospect for new customers. Travelling to potential sales opportunities in the respective region. The ideal candidate will have: Prior experience engaging with academic institutions/universities is highly desirable Good & Proven knowledge of selling B2B Solutions Good Knowledge of Research Publishing solutions, Open Access/Open research publishing services Understanding of Research and Higher Education domain in India covering Public & Private funded Institutions/Universities, Research Centers, corporates, research societies & related community Consultative sales skills and a customer focused approach The ability to work independently and pro-actively Willingness to travel extensively on territory and to conferences, as required Target driven approach and the skills to manage sales budgets Excellent negotiation skills, written and oral communication and presentation skills A collaborative and flexible approach to working both internally and externally Excellent commercial and financial awareness Good analytical, decision making and problem-solving skill Competent user of core MS Office package
This role is based in our 43 Residency Road office. Key Responsibilities: As Data Analyst you will support our TV and other consumer device research and will be expected to perform the following duties: Responsible for Omdias Global TV set and Consumer Electronics research services, including quarterly data reports on vendor sell-in shipment performance. Working closely with global TV analysts to combine primary research findings with secondary data sources to create comprehensive market models. Enhance country-level data accuracy by developing advanced methodologies and incorporating additional data sources that effectively fill gaps through strategic triangulation techniques. Understand the TV data process, and terminology, and own the end-to-end data lifecycle of TV set data deliverables. Data modelling, solutions and production of data deliverables based on client requirements, by using logical and efficient algorithms that can be implemented. Translate business requirements into reports and deliverable structures. Proficient in Model Documentation. Effectively manage issue escalations, adopting appropriate escalation pathways with minimum supervision. Anticipation, early detection, prevention, and management of risks and issues impacting deliverables and the research process. Stay updated on emerging technologies and methodologies in data acquisition and analysis. Measures of Success On-time delivery of research deliverables Quality and accuracy of market intelligence Peer feedback and client satisfaction/retention Masters Degree with a specialization in business, economics, statistics, mathematics, engineering, commerce and/or data science is preferred. Bachelors degree in one of the above specializations is a must. Prior experience of four years or more in data modelling and analysis, with experience in data cleaning, data visualization and data translation. Extremely comfortable with Microsoft Excel, Power BI and PowerQuery. Highly proficient in Python and libraries such as pandas, NumPy, SciPy, Beautiful Soup, pysftp and pyodbc and adequate knowledge of working with various file formats such as Parquet, JSON, csv. Basic level knowledge of AWS S3, Lambda, Athena would be nice to have. Enough to navigate and make necessary minor changes to code that we have hosted online, if necessary. Good understanding of data management and metadata. Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills. Experience with data visualization tools like Tableau or Power BI is a plus. Attention to detail and commitment to data accuracy. Experience and knowledge in relevant technology are preferred. Ethics & Transparency: Compliance with global regulations (like GDPR) to protect consumer data. Clear communication of research methods and processes ensures clients understand how data was collected and analyzed. Take ownership of assigned project tasks and proactively engage with all stakeholders to ensure effective communication. Understanding and commitment to Research & Analytics goals, objectives, and values in action, together with relevant policies and guidelines.
We are currently looking to bring on a talented, self-motivated and conscientious Technical Lead, Data Analytics to work in our technology group in Data, Insights and Analytics team focusing and gaining insights from analyzing company data . You will be providing technical leadership in solving complex analytics problem . The lead must be comfortable working with a wide range of data generated by applications, systems, services, users, websites, partner sites and systems and these data continuously flowed in from functions like editorial, production, products, customers, sales, marketing, finance and others in academic publishing. These data are made available by AWS cloud services, complex ERP and CRM systems, events and logs across business functions. The right candidate must have strong experience using a variety of ETL/ELT techniques and analytics practices and data tools. The lead must be a passionate engineer who can uncover and answer the problems that can be found by understanding large amount of data sets. What you ll be doing: Evaluate, implement and recommend Big Data technology stack that would align with companys technology on AWS. Drive significant technology initiatives end to end and across multiple layers of data and analytics engineering. Ability to evangelize next generation infrastructure in analytics space (Batch, Near Realtime, Realtime technologies) on AWS cloud. Passionate for continuous learning, experimenting, applying the open-source technologies and software paradigms. Enrich and refine the backlog by working closely with engineering managers and delivery leads of the academic publishing business domains. Managing the dependencies across the team, setting the expectations and working towards addressing various goals and OKRs. Work closely with several data engineering scrum teams and manage day-to-day chores. Eager to assure quality by a helping in developing a strong validation and verification checks in the data engineering solutions. Provides strong technical expertise in adopting and contributing to open-source technologies related to Bigdata and analytics. Define and Drive best practices. Be a role model to data engineers pursuing technical career path in engineering. What we are looking for : Minimum of 8+ years of overall experience including but not limited to architect, design and development using various database technologies. A minimum 4+ years of hands-on association with AWS Analytical services and big data stack. Ability to Design and build High Availability architecture. Ability to successfully lead a team of data engineers, data evangelists, stewards and business analysts through all phases of the data engineering life cycle. Active in the community in terms of articles / blogs / speaking engagements at conferences this is an added big advantage. Big advantage will be for having experience in presenting data using: PowerBI/ Tableau/Quick Sight. Knowledge in a variety of machine learning is an added advantage. Excellent written and verbal communication skills for coordinating across teams. The ideal candidate is someone with the following: Experience using Cloud technologies: AWS Athena, Glue, EMR, Lake formation, RDS, Redshift, S3, Kinesis, Data pipelines etc. Experience querying databases both SQL and No-SQL. Coding knowledge and experience with several Python/Java/Scala, etc. Experience analysing data from 3rd party providers: Google Analytics, Facebook Insights, etc. Experience with distributed data/computing tools: Map/Reduce, Hadoop, Hive, Spark, MySQL, etc.
We are looking for a skilled Lead Data Engineer with 4 to 7 years of experience to join our team, responsible for driving data-driven insights and decision-making across the organization. The ideal candidate will have a strong background in data engineering and analytics. Roles and Responsibility Design and implement large-scale data pipelines and architectures to support business intelligence and analytics. Develop and maintain complex data models, databases, and data warehouses to ensure data quality and integrity. Collaborate with cross-functional teams to identify business requirements and develop solutions that meet those needs. Lead the development of predictive models and machine learning algorithms to drive business growth. Ensure compliance with data security and privacy regulations, maintaining high standards of data governance. Mentor junior engineers in data engineering best practices and contribute to the development of technical documentation. Job Requirements Strong proficiency in programming languages such as Python, Java, or C++, with experience in big data technologies like Hadoop, Spark, or NoSQL databases. Experience with cloud-based platforms such as AWS or Azure, including data services like S3, Lambda, or Data Bricks. Knowledge of data modeling techniques, database design principles, and data warehousing concepts. Familiarity with agile development methodologies and version control systems like Git. Excellent problem-solving skills, with the ability to analyze complex data sets and extract valuable insights. Strong communication skills, with the ability to present technical information to non-technical stakeholders. Disclaimer: This job description has been sourced from a public domain and may have been modified by Naukri.com to improve clarity for our users. We encourage job seekers to verify all details directly with the employer via their official channels before applying.
We are recruiting for a Publisher to join the Science, Technology and Medicine journals team. The Publisher will be responsible for our growing portfolio of journals, managing titles across both Open Access and Open Select models. The successful candidate will be a part of our highly motivated team, supporting T&Fs wider success through the management of high-profile academic journals. Our Science, Technology and Medicine portfolio publishes at the cutting edge of academic research, working with leaders in academia, healthcare and industry. As part of our global cross-functional publishing team this role will work closely with colleagues in our offices in Auckland, Melbourne, Oxford and Philadelphia, as well as external global partners. Key Accountabilities Portfolio Management and Growth Creating and delivering strategic development plans that drive quality, growth, and profitability for our Science, Technology and Medicine portfolio. Overseeing and managing P&Ls under the direction of an Executive Publisher. Meeting and wherever possible exceeding revenue and article volume targets. Building, maintaining and sharing a thorough knowledge of market need and competitor activity to inform decisions on journal development Managing the successful transition to T&F of acquired titles Working with external Editors, Editorial teams and internal colleagues to commission and acquire new content Relationship Management Building and maintaining strategic partnerships with academic societies Building and maintaining strategic partnerships with journal editors and potential editors from relevant academic communities. Developing networks within academic communities to position T&F as a subject leader Representing T&F Journals at conferences and editorial board meetings Championing portfolio initiatives with internal and external stakeholders Collaborating effectively with the team to exchange ideas, share best practices, and offer necessary support. Supporting the best interests of the business during negotiations, collaborating with their manager to ensure a positive outcomes for all parties involved Operational Excellence Ensuring compliance with T&F Journals policies and best practices Optimising publishing processes for efficiency and quality Collaborating with and supporting the work of the Editorial Services team Collaborating across departments to ensure publication quality and timeliness Assuming accountability for managing your own learning, taking responsibility to identify and develop skills gaps The ideal candidate will have: Proven track record of working in scholarly publishing Knowledge of publishing best practice and policies, including an interest in publication ethics, funder mandates and industry trends Strong subject matter expertise or interest in a relevant field Experience working with external partners, including Editors, Editorial Boards, and Society leadership Experience with recruitment and engagement of external Academic Editors An understanding of financial reporting and analysis as they relates to academic journals and previous P&L responsibility Experience gathering competitive intelligence and performing market analysis Communication and presentation skills
Contribute to all aspects of the services under the team s ownership, which includes design, implementation, refactoring, automated testing, deployment, and uptime of the services. Code review and Pair Programming with other team members. Build Services and Web Applications using MEAN Stack Setup & Configure Continuous Integration (CI) and Continuous Deployment (CD) pipelines. Build the technology the right way: for us, this means simple, well-tested services that gradually grow over time, and that provide plenty of insight into production performance. Previous experience in software development, using MEAN stack Experience in Non-SQL MongoDB and RDBMS databases. Must have exposure to Microservice Architecture, REST APIs Experience with building Micro Services using Node.js and Express.js or any other framework. Expert in JavaScript, TypeScript. Must have built at least two applications end to end in Angular 17+ and has knowledge on building reusable UI Components. Exposure to AWS Cloud or any other Cloud platforms Possess a good understanding of continuous delivery, writing unit tests and automated testing. You have experience using the most common AI Coding Tools such as Claude Code, GitHub Copilot, ChatGPT, Amazon Q Developer or any other AI coding tool. Being passionate towards innovation & learning new skills. Have strong analytical and problem-solving skills. Ability to clearly communicate to technical and non-technical audiences. Prior experience in building and delivering software in Scrum or Agile development methodology Comfortable working at all tiers of modern applications, from the frontend, backend and all the way to the database. Hands-on with Build and Release tools like GitHub, Junit, Mockito, NPM, Python, Shell Script etc. Must have a very strong knowledge of how the web works and how to make it efficient (HTTP, caching, page rendering, sockets, etc). Must possess solid software development fundamentals (data structures, algorithms, problem solving, OO design, and system architecture).
We currently have an opportunity for a Business Development Manager to join Pay to Publish - Open Research India commercial team. This is an individual contributor role. Looking for a Business Development Manager for Open Access Publication for Taylor and Francis Group Division. Responsibilities involve Account Management, hunting new accounts maximize sales pipeline by representing Open Research Publication Avenues to Research Organizations, Leading Higher Education Institutions Societies, Corporate Research Funders engaged in Research Grants. Key Accountabilities: Deliver sales target by selling Open Access Research Publishing Solutions to the leading Research Institutions, Universities, Societies, and drive APC (Article Processing Charges) revenue on to open access/research platforms. Develop Account Management Strategy from the target customers/segments in the region in adherence to Open Research Publishing global commercial strategy with core focus to sell Open Access memberships, F1000 Platforms, Gateways, and Pre-paid APC packages. Develop manage relationships with key stakeholders including but not limited to Head of Organizations, Research Heads, Directors, Vice Chancellors, Heads of departments/Academic Dean of key academic institutions having sizable Gold OA output in the region. Periodically reporting to manager on sales progress and the business environment, thus ensuring responsiveness to both the micro and macro business environments. Work closely with the Business Liaison team to extend a robust post-sales support to existing clients. Actively liaise with stakeholder departments or groups within the business to enhance seamless service delivery to customers - includes credit control, editorial, marketing and sales support Attending relevant conferences and events to build relationships and prospect for new customers. Travelling to potential sales opportunities in the respective region. The ideal candidate will have: Prior experience engaging with academic institutions/universities is highly desirable Good Knowledge of Research Publishing solutions, Open Access/Open research publishing services Understanding of Research and Higher Education domain in India covering Public Private funded Institutions/Universities, Research Centers, corporates, research societies related community Target driven approach and the skills to manage sales budgets Good Proven knowledge of selling B2B Solutions Consultative sales skills and a customer focused approach The ability to work independently and pro-actively Willingness to travel extensively on territory and to conferences, as required Excellent negotiation, articulation and presentation skills A collaborative and flexible approach to working both internally and externally Excellent commercial and financial awareness Good analytical, decision making and problem-solving skill Competent user of core MS Office package