12 Visualization Techniques Jobs

As the Legal Analytics head (Senior Vice President) at AIM based in Gurugram, you will report to the Director / Managing Director and be responsible for leading a team of Business Analysts, Visualization & Reporting experts, Information Management experts, Data Engineers, and Data Scientists. Your team will handle tasks such as Business Analytics, Insight Generation, Visualization / Dashboards, Automation and Reporting, Data Strategy, Data Pipeline, Governance & Reporting, Model Development, Validation, Governance, and Documentation. It will be your responsibility to ensure the quality, reliability, and usability of all work products, as well as to evaluate and refine data acquisition methods for validity, applicability, efficiency, and accuracy. Proper documentation and traceability of all project work will be essential, along with timely responses to internal and external reviews. Your role involves overseeing professional team(s) and department(s) to achieve results. You will integrate subject matter and industry expertise within a defined area, contributing to standards for others to operate. This position requires a deep understanding of how areas integrate within the sub-function and contribute to the objectives of the entire function, as well as basic commercial awareness. Effective communication and diplomacy skills are essential to guide, influence, and convince others, including colleagues in other areas and external customers. You will have full management responsibility for a team, including duties such as performance evaluation, compensation, hiring, disciplinary actions, and budget approval. Your responsibilities will include acting as a Strategic Leader, providing thought leadership, overseeing Data Analytics, Insight Generation, Data Strategy, Model implementation, and Reporting activities. You will manage stakeholder relationships, communicate findings and recommendations to senior management, and stay updated on the latest trends and technologies in analytics. Developing and executing analytics strategies, managing risk, and leading a team of analytics professionals will also be key aspects of your role. To qualify for this position, you should have at least 15 years of experience in Analytics & Transformation roles, proficiency in Data Analytics tools / technologies like SQL, SAS, Python, PySpark, and Tableau, and a strong understanding of the Data & Analytics ecosystem. Experience in model execution and governance in any domain will be preferable. You should also possess excellent communication skills, the ability to translate complex data into actionable insights, and experience in people management. A Bachelors / Masters degree in STEM is required, with a Masters degree preferred. In summary, as the Legal Analytics head at AIM, you will play a crucial role in driving analytics-driven strategies, managing a team of professionals, and ensuring the successful execution of data strategies to meet organizational priorities. Your expertise in analytics tools and technologies, strategic thinking, and leadership skills will be essential for success in this role.,

As a candidate at GlobalLogic, your primary responsibility will involve analyzing spatial data obtained from various vendors to evaluate its alignment with client requirements. You will assess whether the data contributes value to the client's maps or introduces new records. Based on your analysis, you will provide recommendations to the client regarding the acceptance or rejection of the vendor data. To excel in this role, you should have at least 3 years of experience in a similar industry. Your technical skills should include a solid understanding of GIS map components and terminology, working with geographical information systems (GIS) to model and analyze linear and non-linear features, and familiarity with rendering and visualization techniques for vector data. Proficiency in preparing, converting, and extracting GIS data and shape files, along with experience in GIS Navigation projects, will be beneficial. Knowledge of Javascript and SQL is considered a plus. You will be responsible for diagnosing gaps in existing processes, identifying opportunities, and implementing initiatives to meet client and internal commitments consistently. Implementing corrective and preventive actions to ensure customer satisfaction, preparing process level requirements for self-assessment, and accessing and utilizing aerial photographs, satellite images, and vector data are key aspects of the role. Your tasks will also involve researching, collecting, storing, retrieving, and evaluating MAPS data, designing maps, and ensuring map accuracy. Your qualifications should include a graduate degree from a reputable institution. In terms of job responsibilities, you will be expected to perform quality assurance with a comprehensive understanding of mapping processes such as POIs, AOIs, and linear features. You will need to identify and report deficiencies in modeling real-world features and suggest improvements, evaluate search results using search queries in the Maps/GIS domain, and participate in transition team activities. At GlobalLogic, we prioritize a culture of caring, where people are valued and supported. You will experience an inclusive environment focused on continuous learning and development, interesting and meaningful work, balance, and flexibility. As part of a high-trust organization, you can expect to work on impactful projects with a focus on integrity and trust. GlobalLogic, a Hitachi Group Company, is a leading digital engineering partner to innovative companies worldwide. Since 2000, we have been driving the digital revolution by creating cutting-edge digital products and experiences. Join us to collaborate on transformative projects that redefine industries and shape the future of intelligent products, platforms, and services.,

As a Senior Data Engineer at Citi, you will be a key member of the Analytics & Information Management (AIM) team based in Gurugram. Your primary responsibility will be to develop and implement data analytics solutions that support key business objectives for Legal Operations under the Chief Operating Office. You should have a proven track record of implementing optimized data processes/platforms, delivering impactful insights, and fostering a data-driven culture within the organization. Your role as a Data/Information Analyst at Citi will involve leveraging your data engineering and solution design skills to contribute significantly to the bank's success. You will be responsible for integrating subject matter and industry expertise within a defined area, setting standards for others to operate, and ensuring the timely delivery of end results. Your role will require you to have a deep understanding of how different areas integrate within the sub-function and contribute to the overall objectives of the function. Key Responsibilities: - Supporting Business Execution activities within the Chief Operating Office by implementing data engineering solutions for banking operations - Overseeing Data Strategy, Smart Automation, Insight Generation, Data Quality, and Reporting activities - Enabling proactive issue detection, escalation workflows, and compliance with data governance policies and regulatory requirements - Communicating findings and recommendations to senior management and staying current with the latest trends and technologies in analytics - Setting up a governance operating framework to enable operationalization of data domains and ensuring consistency and audit readiness across legal reporting - Working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies - Developing and executing the analytics strategy for Data Ingestion, Reporting, and Insights Centralization Qualifications: - 5+ years of experience in Business Transformation Solution Design roles with proficiency in tools/technologies like Python, PySpark, Tableau, MicroStrategy, SQL, etc. - Strong understanding of Data Transformation, Data Architecture, Data Tracing & Lineage, Scalable Data Flow Design, Platform Integration, ETL & Smart Automation - Proficiency in relational and dimensional data modeling techniques, database management & optimization, and data visualization techniques using Tableau - Experience in Developing and Deploying AI solutions in partnership with Tech and Business - Knowledge of regulatory requirements related to data privacy and security and experience in interacting with senior stakeholders across the organization - In-depth understanding of financial service business models, advanced statistical techniques, and creative problem-solving skills Education: - Bachelors/University degree in STEM, Masters degree preferred This job description provides a comprehensive overview of the Senior Data Engineer role at Citi. Other job-related duties may be assigned as required.,

As the Legal Analytics head (Senior Vice President) at AIM, based in Gurugram and reporting to the Director / Managing Director, you will oversee a team consisting of Business Analysts, Visualization & Reporting experts, Information Management experts, Data Engineers, and Data Scientists. Your responsibilities will include leading the team in Business Analytics, Insight Generation, Visualization / Dashboards, Automation and Reporting, Data Strategy, Data Pipeline, Governance & Reporting, Model Development, Validation, Governance, and Documentation. It will be your duty to ensure the quality, reliability, and usability of all work products while evaluating and refining data acquisition methods for validity, applicability, efficiency, and accuracy. Proper documentation and traceability of all project work must be maintained, with timely responses to internal and external reviews. In this role, you will manage professional team(s) and department(s) to achieve results and integrate subject matter and industry expertise within a defined area. You will contribute to standards for operations and require an in-depth understanding of how various areas integrate within the sub-function and the entire function's objectives. Basic commercial awareness is necessary, along with developed communication and diplomacy skills to guide, influence, and convince colleagues and occasional external customers. You will be responsible for the volume, quality, timeliness, and delivery of end results within your area, which may extend to planning, budgeting, and policy formulation. Full management responsibility of a team, including performance evaluation, compensation, hiring, disciplinary actions, and budget approval, may also be part of your role. Your primary responsibilities will include acting as a Strategic Leader, providing thought leadership, overseeing Data Analytics and Reporting activities, managing Stakeholder Communication and Influence, developing Analytics Driven Strategies, focusing on Technical Strategy, making Strategic Recommendations, managing Risk effectively, and exhibiting Human Centric Leadership by leading a team of analytics professionals to deliver on organizational priorities. To qualify for this role, you should have at least 15 years of experience in Analytics & Transformation roles, proficiency in Data Analytics tools / technologies such as SQL, SAS, Python, PySpark, Strategy, and Tableau, a strong understanding of the Data & Analytics ecosystem, and experience in People management. Additionally, you should have proven abilities in translating complex data into actionable insights, interacting with senior stakeholders, and demonstrating thought leadership skills. Excellent verbal and written communication skills are essential, along with the capability to influence business outcomes and decisions in collaboration with AIM leadership and business stakeholders. Education-wise, a Bachelors / Masters degree in STEM is required, with a Masters degree being preferred. Overall, as the Legal Analytics head at AIM, you will play a pivotal role in driving business analytics, data strategy, visualization, and governance while providing leadership to a team of analytics professionals to meet organizational goals.,

As an Assistant Vice President in the Business Analytics team at Citigroup, your primary responsibility will be to drive the development and implementation of advanced analytical solutions to support key business objectives. You will be leading a high-performing team, delivering impactful insights, and fostering a data-driven culture within the organization. Your role will involve supporting Business Execution activities for the Chief Operating Office, implementing analytical solutions to manage banking operations such as spend and utilization insights with contextualized metrics. You will oversee Data Analytics, Insight Generation, and Reporting activities using proven analytical techniques. This includes documenting data requirements, data collection, processing, cleaning, and exploratory data analysis, as well as process automation/optimization and data visualization techniques. Furthermore, you will act as an interface between business and technology partners for digitizing data collection, providing technical guidance in areas such as knowledge graph development, data extraction, and other technical aspects related to business execution and analytics. You will communicate findings and recommendations to senior management, stay updated with the latest trends and technologies in analytics, and ensure compliance with data governance policies and regulatory requirements. In this role, you will work with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. You will be responsible for identifying and compiling data sets using various tools to help predict, improve, and measure the success of key business outcomes. Additionally, you will develop and execute the analytics strategy by focusing on data ingestion, reporting/insights centralization, expanding analytic coverage, and converting manual reports into dashboards with actionable insights. Your qualifications should include at least 8 years of experience in Business Analytics & Transformation roles with proficiency in data analytics tools/technologies such as SQL, SAS, Python, PySpark, and Tableau. You should have a strong understanding of the data and analytics ecosystem, establish a scalable analytics framework, and translate complex data into actionable insights. Experience in developing and deploying AI solutions, knowledge of banking operations, and interaction with senior stakeholders are also essential requirements for this position. Ideally, you should hold a Bachelors/University degree in STEM, with a Masters degree being preferred. Having expertise in AI, financial/business analysis, credit/risk analysis, and advanced statistical techniques will be beneficial for this role. Creative problem-solving skills, project planning abilities, and analytics thought leadership are key attributes that will contribute to your success as an Assistant Vice President in Business Analytics at Citigroup.,

As the leader of the Research and Development (R&D) team, you will be responsible for driving the conception and implementation of innovative business solutions in predictive and prescriptive analytics. You will be tasked with building capabilities, standards, and frameworks to facilitate the efficient and seamless adoption of predictive and prescriptive analytics and visualization within the organization. Active collaboration with academic institutions is encouraged, with a preference for candidates holding a PhD in Computer Science. Your role will require a good working knowledge of Big Data and NoSQL technologies, along with a deep understanding of statistical (regression analysis, cluster analysis, optimization techniques) and computational techniques (machine learning, natural language processing, graph or social network analysis, neural nets, simulation modeling). You should possess the skills to identify and apply the most appropriate techniques for different problem categories, as well as the ability to effectively communicate the business value to stakeholders. Proficiency in visualization techniques and tools, as well as familiarity with software development lifecycle methodologies, is essential. A passion for technology and innovation is key, with an emphasis on creating intellectual properties, patents, and conducting research on new and emerging technology trends. Additionally, you should demonstrate the ability to build and lead teams, coupled with excellent interpersonal and consulting skills. Key Skills required for this role include: - Text Analytics Tools: e.g., Open NLP, Stanford NLP - Machine Learning Tools: e.g., Mahout, Weka, R, RapidMiner - Real-time Stream Processing Tools: e.g., Storm - Enterprise Java - Knowledge of Perl, PHP, Ruby, Python, and JavaScript (Desirable) - Good understanding of Hadoop infrastructure The ideal candidate should hold a PhD in Computer Science or Applied Mathematics from a reputable institute, with specialization in a relevant area being a plus. A minimum of 15 years of relevant experience, including at least 7 years in a lead R&D role, is required to excel in this position.,

As an Assistant Vice President, Data Engineering Expert at Analytics & Information Management (AIM) in Gurugram, you will play a crucial role in leading the Data/Information Management Team. Your responsibilities will include driving the development and implementation of data analytics solutions to support key business objectives for Legal Operations as part of the COO (Chief Operating Office). You will be expected to build and manage high-performing teams, deliver impactful insights, and foster a data-driven culture within the organization. In this role, you will be responsible for supporting Business Execution, Legal Data & Reporting activities for the Chief Operating Office by implementing data engineering solutions to manage banking operations. This will involve establishing monitoring routines, scorecards, and escalation workflows, as well as overseeing Data Strategy, Smart Automation, Insight Generation, Data Quality, and Reporting activities using proven analytical techniques. Additionally, you will be required to enable proactive issue detection, implement a governance framework, and interface between business and technology partners for digitizing data collection. You will also need to communicate findings and recommendations to senior management, stay updated with the latest trends in analytics, ensure compliance with data governance policies, and set up a governance operating framework to enable operationalization of data domains. To excel in this role, you should have at least 8 years of experience in Business Transformation Solution Design roles with proficiency in tools/technologies like Python, PySpark, Tableau, MicroStrategy, and SQL. Strong understanding of Data Transformation, Data Strategy, Data Architecture, Data Tracing & Lineage, and Database Management & Optimization will be essential. Additionally, experience in AI solutions, banking operations, and regulatory requirements related to data privacy and security will be beneficial. A Bachelor's/University degree in STEM is required for this position, with a Master's degree being preferred. Your ability to work as a senior member in a team of data engineering professionals and effectively manage end-to-end conceptualization & implementation of data strategies will be critical for success in this role. If you are excited about the opportunity to lead a dynamic Data/Information Management Team and drive impactful insights through data analytics solutions, we encourage you to apply for this position and be a part of our talented team at AIM, Gurugram.,

You are a highly experienced and strategic Officer- Data Analyst for the Business Analytics Team at Citigroup. Your primary responsibility will be driving the development and implementation of analytical solutions to support key business objectives. You must have a proven track record of delivering impactful insights and fostering a data-driven culture. Your role will involve supporting Business Execution activities for the Chief Operating Officer, implementing analytical solutions to manage banking operations, and improving business processes through data analytics solutions. You will work on activities such as reporting & insights using Tableau dashboards, creating business intelligence reports, and visualizations. You will also interface between business and technology partners for digitizing data collection, offer technical guidance in areas such as knowledge graph development, data extraction, and other technical aspects related to business execution and business analytics. It is essential to communicate findings and recommendations to senior management, stay updated with the latest trends in analytics, and ensure compliance with data governance policies and regulatory requirements. Your responsibilities will include working on Data Analytics, Insight Generation, and Reporting activities using proven analytical techniques. You will be responsible for documenting data requirements, data collection, processing, cleaning, exploratory data analysis, process automation, optimization, and data visualization techniques. You will be working with large and complex data sets to evaluate, recommend, and support the implementation of business strategies. As a Data Analyst, you will develop and execute the analytics strategy by focusing on Data Ingestion, Reporting/Insights Centralization, expanding analytic coverage, and converting manual reports into dashboards to cover key KPIs with actionable insights. You must assess risk when making business decisions, adhere to policies and regulations, and act as a senior analytics professional to deliver on organizational priorities. To qualify for this role, you should have at least 3 years of experience in Business Analytics & Transformation roles with proficiency in data analytics tools/technologies like SQL, SAS, Python, PySpark, and Tableau. You must have a strong understanding of the data & analytics ecosystem, establish a scalable analytics framework, and be able to translate complex data into actionable insights. Additionally, experience in developing and deploying AI solutions, knowledge of banking operations, regulatory requirements, and interacting with senior stakeholders is required. A Bachelor's/University degree in STEM is a minimum requirement, with a Master's degree preferred. You should possess strong analytical skills, be proficient in AI/Gen AI, have in-depth knowledge of financial service business models, and demonstrate expertise in advanced statistical techniques for driving substantial business results. This job description provides an overview of the work performed, and other job-related duties may be assigned as required.,

You will be responsible for possessing detailed knowledge of TIBCO Spotfire for report development, configuration, and best practices. Your role will involve collaborating with stakeholders to collect, interpret, and translate business requirements into technical specifications. Additionally, you will develop standard and custom reports and dashboards using Spotfire, analyze and present data to identify analytics opportunities, and effectively communicate with product owners to convey analytical insights. It will be crucial for you to validate the accuracy and quality of work and actively participate in daily stand-up scrum calls. Your technical skills should include proficiency in TIBCO Spotfire for developing reports and dashboards, a strong understanding of data analysis and visualization techniques, experience with Agile/Scrum methodologies, and the ability to interpret and translate business requirements into technical specifications. To qualify for this role, you must have demonstrated ability to develop visualizations and reports using TIBCO Spotfire, experience working in an Agile/Scrum delivery model, a minimum of 5 years of experience in report development, a Bachelor's degree in a relevant field, at least 4 years of practical experience in visualization/report development working directly with teams, excellent written and verbal communication skills, strong meeting facilitation skills, and exceptional interpersonal and collaboration skills.,

We are seeking an experienced Power BI Developer with over 4 years of expertise in creating, managing, and enhancing business intelligence solutions utilizing Microsoft Power BI. The ideal candidate should possess a profound understanding of data analytics, data modeling, and visualization techniques, along with a strong track record of delivering significant business insights. Your responsibilities will include designing, developing, and maintaining Power BI reports, dashboards, and visualizations to align with business objectives. You will collaborate with stakeholders to gather requirements and convert business needs into technical specifications. Additionally, optimizing DAX queries and data models, integrating Power BI solutions with other applications, and leading the end-to-end Power BI development lifecycle will be crucial tasks. Furthermore, you will be responsible for implementing and managing row-level security and data governance policies, monitoring and enhancing report performance, collaborating with cross-functional teams, and maintaining comprehensive documentation of reporting structures and data sources. Staying updated on the latest Power BI features and industry trends to implement best practices is essential. Qualifications: - Over 4 years of experience in developing business intelligence solutions using Power BI. - Expertise in Power BI Desktop, Power BI Service, Power Query, and DAX. - Strong understanding of data modeling concepts and experience with data transformation using Power Query. - Advanced SQL skills for querying and transforming data from various sources. - Proven experience in building complex data models with relationships, hierarchies, and security models. - Knowledge of ETL processes and integrating data from diverse sources. - Familiarity with Azure Data Services or similar platforms is a plus. - Experience working in Agile environments and familiarity with tools like JIRA or Azure DevOps. - Excellent communication skills and strong problem-solving abilities. Please note that this job description is sourced from hirist.tech.,

Job Description: Major Accountabilities of Position: Designing, developing and maintaining business intelligence solutions. Knowledge of data modelling, crafting, and executing queries. Good knowledge and experience on data integration tool like SSIS. Data Analysis through reports and visualization. Building and deploying Power BI apps for multiple customers. Knowledge / Experience / Competencies Required: Technical Skills: Power BI DAX and Power Query M-Code. Building Data Model in Power BI. Preferably experience in any ETL Tools like SSIS. Knowledge of Microsoft MSBI stack like SSAS (tabular model), SSIS, SSRS. Experience in deploying Reports, Dashboards and Apps in Power BI. Solid understanding of Data warehousing and BI concepts. Working knowledge of Office365 groups/ workspaces. Knowledge of databases like MySQL, Postgres, MS SQL, Oracle, and hands-on experience in writing SQL Queries. Experience on any other visualization tool like Tableau or QlikView would be an added advantage. Knowledge of .Net, Python, or JavaScript would be an added advantage. People Skills: Engagement as a proactive member of the workgroup and team player. Professional and open communication to all internal and external stakeholders. Ability to take instruction and perform tasks accurately with minimal guidance. Accurately report to management in a timely and effective manner. Other: Ability to quickly and accurately troubleshoot complex, multi-component issues, providing appropriate cost-effective resolutions and solutions. Ability to abstract application-specific components to a generic solution, enabling re-use. Education: BE OR BTech or MCA or MTech only Interview Rounds: 2 or 3 Technical rounds Experience Level: 5 to 6 Years

About the role: We are seeking a highly skilled and motivated professional to join our team as an Industrial Systems Optimization Engineer. This role is pivotal to ensuring the reliability, efficiency, and scalability of industrial operations by leveraging advanced technologies and data-driven approaches. As part of the team, you will play a key role in monitoring and analyzing valve performance, developing automation scripts, and designing data models to optimize operations and enhance system reliability. Your expertise in Python programming, OPC UA, and PCS7 will be essential in delivering high-quality solutions that meet and exceed project expectations. Additionally, your ability to leverage data analytics to derive actionable insights will directly contribute to improved decision-making processes and operational excellence.. Key Responsibilities: Monitor and analyze valve performance, applying process understanding to optimize operations and enhance reliability. Develop and implement Python scripts for automation, data analysis, and system optimization. Utilize fundamental knowledge of OPC UA to facilitate seamless communication between devices and systems, ensuring interoperability and data exchange. Design and implement data models that support project objectives, ensuring data accuracy, consistency, and accessibility. Collaborate with engineering teams to define system requirements and specifications, ensuring alignment with project goals and industry standards. Leverage data analytics to derive insights and support decision-making processes. Qualifications: Bachelors degree in Engineering, Computer Science, Data Science, or a related field. Proven experience with PCS7 systems. Proficiency in Python programming, with a strong understanding of scripting for automation and data manipulation. Solid understanding of OPC UA fundamentals and its application in industrial environments. Experience in valve monitoring and process understanding, with a focus on optimizing performance. Background in data science, including data analysis, modeling, and visualization techniques. Strong analytical and problem-solving skills, with the ability to work independently and as part of a team. Excellent communication and interpersonal skills, with the ability to convey complex technical concepts to non-technical stakeholders.