The role of Sales Support Specialist is to support the sales team and respond to client/prospect queries. We are seeking an experienced team member with knowledge of sales and customer service. The ideal candidate should possess exceptional communication and coordination skills, be a taskmaster, and contribute to building and retaining good customer relationships while ensuring smooth sales team operations. Responsibilities: - Handling sales tracking tools to maintain updated and accurate data with minimal time lag. - Reporting and publishing pipeline and sales KPI metrics regularly. - Attending and documenting minutes of meetings for internal and external gatherings. - Developing a detailed understanding of Think Analytics products" functional workings and features to address primary queries and involve experts for detailed inquiries. - Coordinating with Sales & Product Teams for creating marketing content. - Assisting in coordination during participation in webinars and industry events. Requirements: - Prior experience as a Sales support associate or Sales support specialist. - Proficiency in working with CRM systems. - Above-average skills in MS Excel and MS Word. - Any graduation degree. - Strong communication and coordination skills.,
The Technical Manager, specializing in Data Warehouse & Business Intelligence (BI), leads a team of direct reports in the field of Business Intelligence and Data Management. Your primary role involves implementing the enterprise analytics data engineering strategy and acting as a bridge between IT and various business units for the development and maintenance of the Enterprise Data Warehouse. Your responsibilities include hiring, managing, coaching, and leading a team of Business Intelligence Engineers and Data Engineers. You will work closely with product stakeholders to understand business requirements and define data elements and structures necessary for analytical capabilities. Collaborating with business customers, you will implement solutions to support analytical and reporting needs. Your expertise should cover data warehousing, enterprise system data architecture, data processing, data management, and data analysis. Additionally, you will engage in strategic and tactical planning discussions and collaborate with Data Engineering and Software Development teams to ensure proper capture and storage of key data points. As a liaison between business units and business intelligence, you will coordinate efforts between technical and business groups to provide data warehouse and business intelligence capabilities. It will be your responsibility to define and execute a strategic plan aligning data warehousing and business intelligence with overall business strategy. Setting technology and business process standards and ensuring adherence to those standards will also fall within your scope of responsibilities. In terms of education and experience, a Bachelor's Degree in Computer Science, Engineering, Information Technology, or a related field is preferred. You should have over 10 years of experience in Information Technology leadership, system design, and application development, with at least 3 years managing data-related technology implementation projects. Moreover, 5+ years of experience leading Data Warehouse & BI teams is required. Strong oral and written communication skills are essential, along with the ability to effectively communicate with both technical and non-technical stakeholders. Meeting deadlines, multitasking, and prioritizing workloads are key skills, as well as possessing excellent analytical abilities. Preferred qualifications include demonstrated leadership in technology fields like Development, Database, Data Warehousing, and Data Processing. Knowledge of software engineering best practices, agile methodologies, coding standards, and experience providing technical leadership and mentoring to other engineers are also valued. Key Competencies for this role include strong technical skills in data analytics, teamwork, judgment, decision-making, leadership, and effective communication.,
You will be joining an open culture startup founded by IIM/IGIDR Alumni, with a strong focus on financial services, pharmaceuticals, and healthcare industries. As part of our small and non-hierarchical team, you can expect a start-up environment that is casual, relaxed, and highly accountable. In this role, you will need to thrive under pressure, work within tight timelines, and collaborate effectively across departments to achieve desired results. The ideal candidate should be a self-starter, capable of managing multiple tasks and projects simultaneously, taking ownership of deliverables from start to finish, prioritizing workload efficiently, and excelling in a dynamic setting. Proficiency in Python is a must, along with familiarity with popular libraries and tools such as requests, Django, Flask, Json, and Sqlalchemy. You should also have a solid understanding of SQL and databases, including integrating them into web services. Experience in data manipulation and transformation using Python libraries like pandas and numpy, working with structured and unstructured data, is essential. Moreover, you should possess skills in developing RESTful API services, interacting with both structured and unstructured databases, and communicating with them through front-end applications. Proficiency in handling and visualizing data on the web using charting libraries like ChartJS and HighCharts is required. Additionally, familiarity with AJAX, responsive design, integrating front-end with web services, conducting validations in JavaScript, and similar tasks are expected. We value autonomy, curiosity, and innovation in our team members. Knowledge of mobile app development would be considered a bonus for this role.,
As an Azure Data Factory Developer, your role will involve creating Data orchestration with Azure Data Factory Pipelines & Dataflows. You will be responsible for understanding business requirements and implementing them using Azure Data Factory. Your key responsibilities will include: - Understanding business requirements and providing inputs from a Data perspective - Understanding the underlying data and flow of data - Building simple to complex pipelines & dataflows - Working with other Azure stack modules like Azure Data Lakes, SQL DW - Implementing modules with security and authorization frameworks - Recognizing and adapting to changes in processes as the project evolves In terms of qualifications and experience, you should possess: - Bachelor or master's degree in computer science or Data engineering - At least 7-8 years of software development experience, with a minimum of 1 year of experience on Azure Data Factory Your knowledge, skills, and abilities should include: - Expert level knowledge on Azure Data Factory - Expert level knowledge of SQL DB & Datawarehouse - Proficiency in at least one programming language - Ability to analyze and understand complex data - Knowledge of Azure Data Lake - Familiarity with other Azure Services like Analysis Service, SQL Databases (will be an added advantage) - Excellent interpersonal and communication skills, both oral and written, with the ability to communicate clearly and precisely at various levels Join our team if you share the passion for creating cutting-edge product solutions within the Life Sciences Software Sector. This is a full-time job opportunity that offers the chance to work on exciting projects with Azure Data Factory.,