4049 Data Visualization Jobs - Page 20

As a Controls Execution and Management BA PM AVP at Citi, your primary responsibility will be to support the monitoring, management, and performance of key controls for the data operations and metric production process. This involves collecting, analyzing, reviewing, reporting, documenting, and communicating business controls needs and requirements. Your strong analytical skills will be crucial in ensuring the effectiveness of these controls. You will be expected to support the building and implementation of key controls for the metrics production process by following a consistent and appropriate approach to risk identification. Your role will involve assessing the design adequacy of controls, testing their operating effectiveness, and advising or supporting B&I metrics control owners on effective design and implementation. Furthermore, you will execute assessments of development, monitoring, and testing design for controls operated by B&I metrics owners in alignment with applicable Policies, Procedures, and Standards. It will be essential for you to identify and address barriers to timely execution, mitigate risks, and drive effective solutions. Utilizing analytical tools such as SQL, Excel, and data visualization platforms like Tableau, you will produce data analysis outputs to support decision-making processes. Your role will also require strong communication and interpersonal skills to collaborate across diverse teams effectively. To qualify for this role, you should have at least 10 years of experience in the Banking or Finance industry, with a background in data management, governance, or quality programs. Experience with data concern management frameworks and regulatory requirements like BCBS 239 would be advantageous. Familiarity with Citi's technology architecture and multiple asset classes is also a plus. Your strong analytical and problem-solving skills, attention to detail, and ability to work efficiently in a fast-paced environment will be critical. Additionally, you should possess excellent organizational skills, a strong risk and control mindset, and the ability to work effectively with large and diverse teams. A Bachelor's or University degree is preferred for this role. If you are looking to join a dynamic team at Citi and contribute to the controls execution and management processes, we encourage you to apply for this exciting opportunity.,

You will be responsible for delivering offsite professional technical engineering assurance services for project support. Your main duties will include ensuring that technical engineering design documentation complies with all relevant standards and regulations, collaborating with the Engineering and Technical Standards Lead to keep standards up to date, and ensuring that drafting and engineering adhere to safe design principles. You will also provide technical engineering assurance for project delivery, ensure that assets are fit for purpose and minimize operational costs by managing design risks, develop and maintain competent Engineering Partnerships, assign and oversee work, and approve both technical and compliance aspects. In this role, you will be required to support the Construction team during audits and other self-verification activities as needed. You will need to ensure that offsite assurance of technical engineering design documentation aligns with BP Group, Australian, State, and Local standards, laws, and regulations across BPs operations. Your responsibilities will also include delivering a comprehensive engineering standards service, finding opportunities for standardization of engineering assurance documentation, participating in risk management activities and assessments related to various design and operational initiatives, identifying best practices across fields, collaborating with regional teams to implement engineering assurances throughout the broader business, and assisting in coordinating and translating strategic commitments within a value engineering framework to optimize retail standards across ANZ. To qualify for this position, you should have a Bachelor's degree or equivalent experience in Engineering (Civil, Mechanical, Electrical) with 5 to 10 years of demonstrated experience in a technical environment, such as Engineering Design. You should possess technical knowledge, performance orientation, and exhibit high proficiency in problem-solving and innovative thinking. Strong communication and influencing skills are essential, along with proficiency in workplace tools, including the MS Office Suite and MS Project. Commercial experience in the retail or fuel industry would be beneficial. This role does not entail significant travel, and relocation assistance within the country is available. The position is not eligible for remote work. Key skills required for this role include Agility core practices, Agreements and negotiations, Analytical Thinking, Business process improvement, Commercial Acumen, Communication, Conflict Management, Continued Learning, Continuous improvement, Creativity and Innovation, Customer-centric thinking, Customer data knowledge, Data Analysis, Data visualization and interpretation, Decision Making, Digital Collaboration, Digital fluency, Industry knowledge and advocacy, Integrated pricing, Leading transformation, Negotiation planning and preparation, Offer and product knowledge, Offer execution and growth, Operational Excellence, and 10 more skills. Please note that your employment may be contingent upon adherence to local policy, including pre-placement drug screening, medical review of physical fitness for the role, and background checks, depending on the position you are selected for.,

You will be responsible for building and maintaining HR dashboards and metrics to track key HR performance indicators. Collaborate with HR business partners, talent acquisition, compensation and benefits, and other stakeholders to understand their analytical needs, providing customized dashboards and insights. Stay updated with the latest HR analytics trends, tools, and technologies, recommending innovative solutions to enhance HR data analyst capabilities. Provide training and guidance to HR team members on data techniques and tools. Ensure data accuracy, integrity, and security in all HR analytics processes and systems. Present findings, insights, and recommendations to senior management and key stakeholders in a clear and concise manner. Collect, analyze, and interpret HR data from multiple sources, including HRIS systems, employee surveys, performance reviews, and other relevant data sets. Identify trends, patterns, and correlations in HR data to provide insights and recommendations for HR initiatives and strategies. You should have 2-4 years of relevant experience, a Bachelor's degree in human resources, statistics, business administration, or a related field experience preferred, and proven previous Workday experience. Proficiency in statistical analysis, data mining, and data visualization tools (e.g., Workday, Excel, Tableau, Power BI, etc.) is required. Excellent analytical and problem-solving skills are necessary to translate complex data into actionable insights. Effective communication and presentation skills are crucial to convey complex findings to non-technical stakeholders. Ability to work independently, manage multiple projects simultaneously, and meet tight deadlines. Attention to detail and a high level of data accuracy and integrity are essential. You should be a self-starter with the ability to influence, communicate effectively, build strong relationships, and become a trusted advisor and change agent. You are expected to be an experienced Workday superuser with a deep understanding of people analytics and PRISM modules. Ability to transition quickly from big-picture thinking to managing relevant details. Demonstrated desire to challenge the status quo and drive the team towards new ways of thinking and processes. Passion for the restaurant industry and eagerness to learn about restaurant operations. Strong communicator who can collaborate across the enterprise and effectively manage expectations across distributed stakeholders. Maintain flexibility and influence others to do the same.,

The AI and Predictive Analytics Specialist plays a crucial role in harnessing the power of advanced analytics and machine learning to transform data into actionable insights. You will work closely with various departments to understand their analytical needs and develop predictive models that drive strategic initiatives. Your responsibilities include analyzing large datasets, discovering patterns and trends, and creating data visualizations to effectively communicate findings to stakeholders. It is essential to have a solid understanding of statistical analysis, proficiency in programming languages such as Python or R, and experience with data visualization tools like Tableau or Power BI. Collaboration with cross-functional teams is a key aspect of this role as you design and implement predictive models, evaluate performance, and refine algorithms to enhance accuracy. You will be involved in the development and maintenance of analytics tools, preparing detailed reports, and staying updated with the latest advancements in AI and analytics technologies. Additionally, training team members on data analytics best practices, facilitating workshops, and supporting data-driven decision-making are vital responsibilities. To excel in this position, you must possess a Master's degree in Data Science, Computer Science, Statistics, or a related field, along with proven experience in predictive analytics and machine learning. Hands-on experience with SQL, database management, and big data technologies like Hadoop and Spark is advantageous. Strong problem-solving skills, project management abilities, and effective communication skills for presenting technical concepts are essential. Adaptability to changing priorities, managing multiple projects simultaneously, and familiarity with data cleaning and preprocessing techniques are also required. Overall, as the AI and Predictive Analytics Specialist, you will contribute significantly to the organization's data-driven strategy, foster a culture of continuous improvement through data insights, and support strategic initiatives with data-driven recommendations. Your expertise in data visualization, statistical analysis, machine learning, predictive analytics, data mining, and team collaboration will be instrumental in driving business solutions and enhancing operational efficiency.,

You will be responsible for developing and maintaining Looker models, views, and dashboards, ensuring data quality, and enabling data-driven decision-making across the organization. The ideal candidate will have a strong background in data analysis, SQL, and LookML, as well as experience in a similar role. Responsibilities Develop and maintain Looker models, views, and dashboards, ensuring data quality and accuracy. Collaborate with cross-functional teams to understand data needs and translate them into Looker features. Write complex LookML code to model and manipulate data in Looker. Create and maintain documentation for Looker projects. Troubleshoot issues and optimize performance in Looker. Stay up-to-date with Looker releases and new features. Provide training and support to end-users. Contribute to the development of data-driven solutions and products. Requirements 2+ years of experience in a Looker Developer or similar role. Strong knowledge of SQL and data modeling. Experience with LookML and Looker development. Experience with data visualization and dashboarding tools. Strong analytical and problem-solving skills. Excellent communication and collaboration skills. Ability to work independently and manage multiple projects simultaneously. Experience with Agile development methodologies is a plus.,

Join us for an exciting opportunity to elevate your career in marketing analytics. As a Performance Marketing Quant Analytics Associate Senior at JPMorgan Chase within the Data and Analytics Team, you will build data pipelines and intelligent dashboards driving strategic insights across marketing campaigns. Collaborate with business lines to deliver impactful analytics solutions. Job Responsibilities Plan, execute, and deliver performance marketing analytics projects. Identify attributes that describe shifts in performance. Create data assets from large disparate sources for unified marketing performance views. Conduct strategic analyses for campaigns, marketing, and personalization. Design dashboards to inform executives on critical operational business KPIs and strategic metrics. Become a trusted partner and thought leader in marketing data & analytics. Invent creative methods to answer key business questions using data assets. Build expertise on marketing data from all Chase lines of business. Synthesize analytical findings for senior business executives in both written and verbal formats. Required Qualifications, Capabilities, and Skills Strong academic background with a STEM Bachelors/Masters from a well-recognized university. 8+ years of advanced hands-on experience in SQL. 6+ years of advanced experience in data visualization, preferably in Tableau. 6+ years of advanced experience in data wrangling, preferably in Alteryx. 6+ years of advanced experience in data wrangling, preferably in ETL. 5+ years of advanced knowledge in MS Excel. Great presentation skills, both verbal and in MS PowerPoint. Preferred Qualifications, Capabilities, and Skills Experience with analytics suite and back-end data of Adobe Analytics, Salesforce Marketing Cloud, Persado, Harmony, or similar tools. Familiarity with cloud-based environments and developing production-level code.

Embark on a transformative journey as Data Scientist at Barclays, where youll play a pivotal role in shaping the future. In this role, you will be responsible to extract valuable insights from the banks data reserves, leveraging these insights to inform strategic decision-making. Join us in our mission to safeguard our business and customers from financial crime risks. With competitive benefits and opportunities for career advancement, Barclays is a great place to grow your career in the banking industry. Key critical skills required for this role include: Basis understanding of Machine Learning. Experience in Python and SQL. Experience in Data Visualization tools Power BI or Tableau. Analytical mind and business acumen. Expertise in cleaning and transforming data for analysis. You may be assessed on key essential skills relevant to succeed in role, such as risk and control, change and transformation, business acumen, strategic thinking and digital technology, as well as job-specific technical skills. This role is based out of Noida. Purpose of the role To use innovative data analytics and machine learning techniques to extract valuable insights from the banks data reserves, leveraging these insights to inform strategic decision-making, improve operational efficiency, and drive innovation across the organisation. Accountabilities Identification, collection, extraction of data from various sources, including internal and external sources. Performing data cleaning, wrangling, and transformation to ensure its quality and suitability for analysis. Development and maintenance of efficient data pipelines for automated data acquisition and processing. Design and conduct of statistical and machine learning models to analyse patterns, trends, and relationships in the data. Development and implementation of predictive models to forecast future outcomes and identify potential risks and opportunities. Collaborate with business stakeholders to seek out opportunities to add value from data through Data Science. Analyst Expectations To perform prescribed activities in a timely manner and to a high standard consistently driving continuous improvement. Requires in-depth technical knowledge and experience in their assigned area of expertise Thorough understanding of the underlying principles and concepts within the area of expertise They lead and supervise a team, guiding and supporting professional development, allocating work requirements and coordinating team resources. If the position has leadership responsibilities, People Leaders are expected to demonstrate a clear set of leadership behaviours to create an environment for colleagues to thrive and deliver to a consistently excellent standard. The four LEAD behaviours are: L - Listen and be authentic, E - Energise and inspire, A - Align across the enterprise, D - Develop others. OR for an individual contributor, they develop technical expertise in work area, acting as an advisor where appropriate. Will have an impact on the work of related teams within the area. Partner with other functions and business areas. Takes responsibility for end results of a team s operational processing and activities. Escalate breaches of policies / procedure appropriately. Take responsibility for embedding new policies/ procedures adopted due to risk mitigation. Advise and influence decision making within own area of expertise. Take ownership for managing risk and strengthening controls in relation to the work you own or contribute to. Deliver your work and areas of responsibility in line with relevant rules, regulation and codes of conduct. Maintain and continually build an understanding of how own sub-function integrates with function, alongside knowledge of the organisations products, services and processes within the function. Demonstrate understanding of how areas coordinate and contribute to the achievement of the objectives of the organisation sub-function. Make evaluative judgements based on the analysis of factual information, paying attention to detail. Resolve problems by identifying and selecting solutions through the application of acquired technical experience and will be guided by precedents. Guide and persuade team members and communicate complex / sensitive information. Act as contact point for stakeholders outside of the immediate function, while building a network of contacts outside team and external to the organisation.

We are seeking an experienced UX Designer with a strong background in creating wireframes for Business Intelligence (BI) dashboards, as well as mobile and web applications. The ideal candidate will possess exceptional skills in design thinking, market analysis, business requirements discovery, and analysis. They will collaborate closely with business stakeholders to translate their needs into intuitive and visually appealing user interfaces. This role requires expertise in tools like Figma and the ability to guide UI developers and stakeholders throughout the design process. Key Responsibilities: Wireframe Design: Create wireframes and prototypes for Business Intelligence dashboards, mobile applications, and web apps using tools like Figma. Ensure that user interfaces are intuitive, efficient, and aligned with business goals. Design Thinking: Apply design thinking principles to understand user needs, pain points, and behaviors. Use this understanding to inform the design process and create user-centric solutions. Market Analysis: Conduct market research and analysis to identify industry trends, user preferences, and competitors offerings. Use this data to inform design decisions and stay ahead of the competition. Business Requirements Discovery and Analysis: Collaborate closely with business stakeholders to gather and analyze their requirements. Translate complex business needs into actionable design concepts and user experiences. Stakeholder Collaboration: Work closely with business stakeholders, product managers, and developers to ensure alignment between design concepts and project goals. Maintain open communication and incorporate feedback into design iterations. UI Developer Guidance: Provide guidance to UI developers, offering support and clarification on design specifications, interactions, and user flows. Ensure that the final product aligns with the intended design. User Testing: Conduct usability testing and gather user feedback to validate design choices. Make data-driven design adjustments based on user insights and feedback. Documentation: Create and maintain design documentation, including wireframes, prototypes, design guidelines, and user personas, to ensure clear communication and consistency throughout the project lifecycle. Continuous Learning: Stay updated on industry best practices, emerging technologies, and design trends. Share insights and knowledge with the team to drive innovation. Qualifications: Bachelor s degree (Master s degree preferred). Proven experience as a UX Designer with a strong portfolio showcasing BI dashboard, mobile, and web app wireframes. Proficiency in design and prototyping tools such as Figma, Sketch, Adobe XD, or similar. Strong understanding of design thinking principles and user-centered design methodologies. Excellent communication and collaboration skills to work effectively with cross-functional teams. Ability to analyze complex business requirements and translate them into user-friendly designs. Experience conducting market research and competitive analysis. Familiarity with data visualization principles and best practices is a plus. Knowledge of HTML/CSS and front-end development is a bonus. Location: Hyderabad, India

We are looking for a skilled and innovative Data Scientist with a minimum of 5 years of professional experience. The ideal candidate will have a strong analytical mindset, advanced technical expertise, and a proven ability to extract meaningful insights from large and complex datasets. You will play a critical role in driving data-driven decisions, building predictive models, and enabling scalable data solutions to support our business objectives. Key Responsibilities Analyze complex datasets to uncover actionable insights, trends, and opportunities for optimization. Design and implement analytical frameworks to solve business challenges. Develop, train, and deploy predictive and prescriptive models using machine learning and statistical techniques. Continuously improve model performance and scalability. Collaborate with data engineering teams to ensure the availability and quality of data pipelines. Implement data preprocessing, transformation, and feature engineering processes. Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to align data initiatives with organizational goals. Translate business problems into data science tasks and communicate results effectively to non-technical stakeholders. Leverage advanced data science tools and frameworks for statistical analysis, machine learning, and data visualization. Stay updated on emerging technologies and incorporate best practices in data science workflows. Define and track key metrics to measure the success of models and business impact. Conduct A/B testing and experiments to validate hypotheses and model effectiveness. Qualifications Education: Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. A PhD is a plus. Experience: At least 3-5 years of hands-on experience in data science, machine learning, or a related role. Proven experience in deploying models in production environments. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). Expertise in working with SQL and NoSQL databases. Preferred Qualifications: Experience in natural language processing (NLP), computer vision, or deep learning. Knowledge of CI/CD pipelines and MLOps best practices. Certification in data science, machine learning, or cloud computing (e.g., AWS Certified Data Analytics, Microsoft Azure Data Scientist Associate). Soft Skills: Strong problem-solving and critical thinking abilities. Excellent communication and storytelling skills to convey insights effectively. Ability to work collaboratively in a fast-paced, cross-functional environment.

Job Requirements We are seeking a highly capable Senior Front-End Developer with solid experience in React JS and front-end data visualization. The ideal candidate will have hands-on expertise in building complex UI systems, implementing charting libraries like Highcharts, handling frontend-level mathematical computations, and managing real-time event-based applications. You will play a leading role in delivering production-grade solutions and mentoring junior developers. Work Experience Key Responsibilities: Develop and maintain advanced user interfaces using React JS. Build and integrate dynamic charting dashboards using Highcharts or similar libraries. Design reusable, customizable UI components with performance in mind. Implement frontend-based mathematical calculations such as running averages, deltas, and more. Handle sequential API calls where one depends on the response of another. Manage real-time data handling and event-based UI updates. Resolve deployment and environment-specific front-end issues. Use Git for version control and collaborate across branches and repositories. Use Postman for API testing, response validation, and integration. Lead issue identification, variability management, and debugging. Collaborate with back-end and product teams to ensure seamless data handling and component interaction. Required Skills and Qualifications: React JS Expertise: Strong knowledge of React with functional components, hooks, and lifecycle understanding. Charting Library Experience: Proven experience in using Highcharts (or similar) for data visualization with dynamic filtering, aggregation, and styling. Mathematical Logic: Ability to implement complex mathematical logic (e. g. , running/moving average) directly on the front end. API Call Management: Knowledge of managing dependent and parallel API calls using Promises, async/await, or Axios chaining. Event-Based Handling: Familiarity with implementing event-driven UIs and WebSocket/event listeners. Deployment Handling: Experience resolving front-end deployment issues (build failures, asset loading, config-based environments). Version Control: Hands-on experience with Git for versioning and collaborative development. Postman Usage: Skilled in using Postman for testing APIs, handling authentication, and analyzing response structures. Custom Components: Ability to design and implement reusable and dynamic React components based on project needs. Code Testing: Proficient in frontend testing using tools like Jest or React Testing Library. Additional Skills (Preferred): Strong understanding of Redux/Context API for state management. Knowledge of TypeScript and modular coding practices. Familiarity with Webpack, Babel, or Vite for optimized builds. Experience in Agile environments using Jira/Confluence. Exposure to frontend performance monitoring tools like Lighthouse or Sentry. Interview-Driven Requirements (Experience Must Be Demonstrable): Detailed explanation of past React-based project implementations. Ability to handle sequential/conditional API calls. Experience in event-based application architecture. Real examples of solving frontend deployment issues. Previous handling of variability/issue tracking in UIs. Demonstrated custom component creation and reuse strategy. Clear understanding of version control practices using Git. Familiarity with Postman for debugging APIs and test cases. Ability to explain and implement mathematical complexities like running/moving average on UI. Direct experience in performing math logic computations on the front end (not offloaded to backend)

The Digital Finance function within Novartis is responsible for driving the data and tools, AI and ML strategy for finance across the organization. We are seeking a highly skilled and detail-oriented Senior Manager, Data Analytics. The primary responsibility of this role is to effectively manage and analyze large volumes of data, with the aim of extracting valuable insights. The ideal candidate should possess exceptional analytical skills, as well as the ability to manipulate and interpret complex datasets using a variety of technologies, including programming languages. Additionally, the candidate should be able to foster strong relationships with global stakeholders and effectively communicate business analyst needs to data engineers or software engineers. About the Role Key Requirements: Data Analysis: Utilize statistical techniques and data mining methods to analyze large datasets. Identify trends, patterns, and correlations to uncover valuable insights and address critical business questions. Data Validation, Cleaning and Preprocessing: Thoroughly clean, validate, and organize data to ensure accuracy and consistency. Identify and resolve data quality issues, such as missing values and outliers, to maintain data integrity Data Visualization: Present findings in a clear and concise manner through the use of charts, graphs, and other visualizations. Enable users to easily understand and interpret the data through effective visual representations. Ad-hoc Data Analysis: Conduct ad-hoc data analysis to provide actionable recommendations to stakeholders. Proactively address emerging business needs by performing on-demand data analysis to support decision-making processes. Collaboration: Collaborate closely with cross-functional teams, including business analysts, data engineers, and data scientists, to understand their requirements and provide data-driven solutions. Foster effective teamwork and communication to deliver optimal outcomes. Storytelling : Generate insights from the data and communicate them to the key stakeholders, both technical and non-technical. Understand and explain the implications of the findings on the processes, products or business. Documentation: Develop and maintain documentation related to data analysis processes and procedures. Ensure clear and comprehensive documentation to facilitate knowledge sharing and replication of analysis methods. Continuous Improvement: Stay up-to-date with the latest trends and techniques in data analytics. Continuously explore and implement new tools and technologies to enhance data analysis processes, ensuring they align with industry best practices. Essential Requirements: Strong analytical skills with the ability to manipulate and interpret large datasets. Knowledge of statistical techniques and data mining algorithms. Proficiency in programming languages (example - Python language). Strong SQL with aptitude for learning other analytics tools Experience with BI tools like PowerBI or Qlik and ETL tools like Dataiku/Alteryx. Effective communication skills to present findings to both technical and non-technical stakeholders Desirable Requirements: 7+ years eextensive experience in Data and/or Business Analytics. candidates with a background in Financial Data Analytics will be an added advantage Bachelor s or Master s degree in a relevant field such as mathematics, statistics, economics, or computer science. strong written and verbal communication skills

The Center of Excellence Business Intelligence (CoE BI) is the link between business and IT service providers and, in the course of creating BI applications, brings together information from various data sources and makes it available to the organizations decision-makers in processed form with the help of advanced BI systems. The CoE BI is responsible for coordinating the infrastructure with the IT provider(s), including the required interfaces, but not for the quality of the data collected in the upstream systems themselves. The primary objective of the function is to fully support the Center of Excellence Business Intelligence, in particular the support of reports in the SAP Analytics Cloud (SAC), as well as support for finance transformation reporting and FME25 reporting. Furthermore, this function involves being responsible for BI processes & services and maintaining the corresponding results documents (SAC user documentation, SAC LifeCycle Management & SAC authorization concepts). Regularly performed tasks that significantly determine the function . Support of mathematical modeling Support of complex business logic in SAP BWonHana/SAP Datasphere Support of (critical) management applications in BI reporting, especially in the SAP Analytics Cloud Quality checks and production releases Maintenance of BI applications Analysis of deviations from the BI template and preparation of solution proposals for decision by the business process owner or business process architect Preparation, support and implementation of user tests in the Business Intelligence area, also in FME locations abroad Implementation of 1st level support - incident handling Preparation and implementation of documentation tasks Key performance indicators Completion of assigned work packages in time, budget & quality Adherence to planned milestones, taking into account technical requirements in the execution of projects in the business intelligence environment Risks are addressed in good time and countermeasures are initiated Independent creation of solution approaches and their execution within the given framework & coordination with the supervisor Creation and maintenance/updating of BI result documents Incident duration Requirements: At least +4 years of professional experience Degree in economics, industrial engineering or business informatics, statistics, physics Knowledge of project management Very extensive experience in the implementation and support of management information systems, standard reporting & data visualization Extensive knowledge of machine learning, mathematical modeling and predictive and prescriptive analytics would be strong benefit Experience in BI projects & their management, possibly as sub-project manager Knowledge in SAP BI front-end tools, BI back-end systems (preferably SAP Business Warehouse) or similar BI tools Experience in the development and implementation of BI strategies, BI templates & governance processes Ability to work in a team Willingness to identify and support change processes Independent development of alternative solutions & solution optimizations Structured and systematic approach to solving problems Analytical thinking skills Ability to set priorities appropriately and meet changing requirements Intercultural competence and diplomatic demeanor Specialist knowledge in the area of finance & controlling and enterprise KPIs - nice to have Definition, determination and interpretation of key figures and KPIs from business processes (Senior Specialist ) Sound knowledge of project management Sound knowledge of requirements analysis and development tests SAP expertise (ERP & BW) Knowledge of story and application design with BI tools In-depth knowledge of the MS Office package Knowledge of the SAP front-end tools (e.g. Analysis for Office) Sound knowledge of SAP HANA as a data warehouse Sound knowledge of SAP BW on Hana/SAP Datasphere

We are looking for a skilled and innovative Data Scientist with a minimum of 5 years of professional experience. The ideal candidate will have a strong analytical mindset, advanced technical expertise, and a proven ability to extract meaningful insights from large and complex datasets. You will play a critical role in driving data-driven decisions, building predictive models, and enabling scalable data solutions to support our business objectives. Key Responsibilities Analyze complex datasets to uncover actionable insights, trends, and opportunities for optimization. Design and implement analytical frameworks to solve business challenges. Develop, train, and deploy predictive and prescriptive models using machine learning and statistical techniques. Continuously improve model performance and scalability. Collaborate with data engineering teams to ensure the availability and quality of data pipelines. Implement data preprocessing, transformation, and feature engineering processes. Work closely with cross-functional teams, including product managers, engineers, and business stakeholders, to align data initiatives with organizational goals. Translate business problems into data science tasks and communicate results effectively to non-technical stakeholders. Leverage advanced data science tools and frameworks for statistical analysis, machine learning, and data visualization. Stay updated on emerging technologies and incorporate best practices in data science workflows. Define and track key metrics to measure the success of models and business impact. Conduct A/B testing and experiments to validate hypotheses and model effectiveness. Qualifications Education: Bachelor s or Master s degree in Computer Science, Statistics, Mathematics, Data Science, or a related field. A PhD is a plus. Experience: At least 3-5 years of hands-on experience in data science, machine learning, or a related role. Proven experience in deploying models in production environments. Technical Skills: Proficiency in programming languages such as Python, R, or Java. Strong knowledge of machine learning frameworks (e.g., TensorFlow, PyTorch, Scikit-learn). Experience with data visualization tools (e.g., Tableau, Power BI, Matplotlib, Seaborn). Familiarity with big data technologies (e.g., Hadoop, Spark) and cloud platforms (e.g., AWS, Azure, GCP). Expertise in working with SQL and NoSQL databases. Preferred Qualifications: Experience in natural language processing (NLP), computer vision, or deep learning. Knowledge of CI/CD pipelines and MLOps best practices. Certification in data science, machine learning, or cloud computing (e.g., AWS Certified Data Analytics, Microsoft Azure Data Scientist Associate). Soft Skills: Strong problem-solving and critical thinking abilities. Excellent communication and storytelling skills to convey insights effectively. Ability to work collaboratively in a fast-paced, cross-functional environment.

The primary objective of the function is to fully support the Center of Excellence Business Intelligence, in particular the support of reports in the SAP Analytics Cloud (SAC), as well as support for finance transformation reporting and FME25 reporting. Furthermore, this function involves being responsible for BI processes & services and maintaining the corresponding results documents (SAC user documentation, SAC LifeCycle Management & SAC authorization concepts). Regularly performed tasks that significantly determine the function . Support of mathematical modeling Support of complex business logic in SAP BWonHana/SAP Datasphere Support of (critical) management applications in BI reporting, especially in the SAP Analytics Cloud Quality checks and production releases Maintenance of BI applications Analysis of deviations from the BI template and preparation of solution proposals for decision by the business process owner or business process architect Preparation, support and implementation of user tests in the Business Intelligence area, also in FME locations abroad Implementation of 1st level support - incident handling Preparation and implementation of documentation tasks Key performance indicators Completion of assigned work packages in time, budget & quality Adherence to planned milestones, taking into account technical requirements in the execution of projects in the business intelligence environment Risks are addressed in good time and countermeasures are initiated Independent creation of solution approaches and their execution within the given framework & coordination with the supervisor Creation and maintenance/updating of BI result documents Incident duration Requirements: At least 2 years of professional experience Degree in economics, industrial engineering or business informatics, statistics, physics Knowledge of project management Very extensive experience in the implementation and support of management information systems, standard reporting & data visualization Extensive knowledge of machine learning, mathematical modeling and predictive and prescriptive analytics would be strong benefit Experience in BI projects & their management, possibly as sub-project manager Knowledge in SAP BI front-end tools, BI back-end systems (preferably SAP Business Warehouse) or similar BI tools Experience in the development and implementation of BI strategies, BI templates & governance processes Ability to work in a team Willingness to identify and support change processes Independent development of alternative solutions & solution optimizations Structured and systematic approach to solving problems Analytical thinking skills Ability to set priorities appropriately and meet changing requirements Intercultural competence and diplomatic demeanor Specialist knowledge in the area of finance & controlling and enterprise KPIs - nice to have Definition, determination and interpretation of key figures and KPIs from business processes (Senior Specialist ) Sound knowledge of project management Sound knowledge of requirements analysis and development tests SAP expertise (ERP & BW) Knowledge of story and application design with BI tools In-depth knowledge of the MS Office package Knowledge of the SAP front-end tools (e.g. Analysis for Office) Sound knowledge of SAP HANA as a data warehouse Sound knowledge of SAP BW on Hana/SAP Datasphere

Very good experience in writing simple and complex queries using Joins, String functions, Date functions, Ranking functions, Analytical functions and set operators. Analytics experience is mandatory. Strong knowledge in Indexes, Joins, Views, Triggers, Functions Stored Procedures. Strong knowledge in creating and using Temporary table, Table Variable and CTE s (Common table Expressions), Sub-Queries, Derived table and joins to simplify complex queries involving multiple tables. Expertise in creating, maintaining database objects like Indexes, Functions, views, constraints. Very good experience in building the Relationship using Constraints. Strong Knowledge on SQL Profiler to Track the queries. Experienced in Analysing Execution Plan and managing indexes and troubleshooting deadlocks. Experience with Data Visualization (PLX Dashboard, Google Spreadsheets, Tableau desktop) creating dashboards and reports, and working with PLX / Google Data Studio.

The UI Data Analyst will be responsible for collecting, analysing, and visualizing data to improve the user experience of our products / dashboards that supports both existing dashboard development needs and overall UI improvements. The ideal candidate will have a strong understanding of data analysis and visualization, as well as experience with user experience design. Responsibilities : Collect and analyse data to identify trends and patterns that can be used to improve the user experience of our products / dashboards. Visualize data to create clear and concise reports that can be easily understood by the 3PDC (Third Party Data Center) Leadership team and other stakeholders. Work with 3PDC analytics manager to implement changes based on the data analysis and visualization findings. Stay up to date on the latest data analysis and visualization tools and techniques. Preparation of various project documentation (User Guide/Developer Guides/Unit Testing validation documents.) Have a great zeal to learn and right attitude to implement. Qualifications : Bachelor s degree in data science, computer science, or a related field 3+ years of experience in data analysis and visualization Experience with user experience design, dashboard development, data analysis, testing and implementation of code to production environments Strong SQL skills Experience with data visualization tool Looker. Experience building Extract Transform Load (ETL) pipelines. Experience with Google Big Query and GCP platform is a plus Excellent communication and presentation skills

We are seeking an experienced Power BI and Visualization Architect/Lead with expert-level skills in designing, developing, and optimizing data visualizations and analytics solutions. The ideal candidate will have a deep understanding of Power BI visuals, Power BI service administration, complex DAX solutions, and data modeling best practices to support scalable and efficient business insights. This role demands technical expertise combined with logical thinking, common sense, and programming skills to elevate our reporting capabilities to the next level. Responsibilities : Design, develop, and implement complex Power BI reports, dashboards, and data visualizations with optimal data models to ensure scalability and performance. Develop and manage complex DAX calculations, data relationships, and aggregation strategies for efficient reporting. Perform Power BI Service administration tasks, including workspace management, security setup, gateway configuration, and data refresh automation. Assess and improve the existing Power BI environment, optimizing performance, reducing refresh times, and ensuring data model efficiency. Leverage programming skills (e.g., Python, SQL, or Power Automate) to enhance Power BIs capabilities, automate tasks, and improve data workflows. Drive data integration by connecting multiple data into Power BI with efficient data modeling. Collaborate with business stakeholders to gather requirements and translate them into actionable insights using best-in-class visualization techniques. Identify continuous learning opportunities to upskill team members by mentoring staff and promoting Power BI best practices. Introduce innovative solutions to exploit Power BIs advanced features like parameterized reports, AI insights, and custom visuals. Requirements : Extensive hands-on experience with Power BI development, including advanced data modeling and DAX solutions. Strong knowledge of Power BI Service administration and best practices for performance optimization. Expertise in integrating data from diverse sources such as SQL, Excel, APIs, and cloud platforms. Expertise in using data models and Power Query within Power BI environment Solid experience with data governance, security frameworks, and role-based access controls within Power BI. Ability to develop solutions that align with DataOps best practices for automation, testing, and scalability. Strong problem-solving skills with a focus on logical thinking and solution design. Excellent communication and collaboration skills to engage with technical teams and business stakeholders effectively. Preferred Skills: Experience with programming languages such as Python, PowerAutomate, or R to extend Power BI capabilities. Experience in other visualization tools such as Tableau, Qliksense, Looker, Excel Familiarity with Azure Data Services, Databricks, SQL, Power Query or Power BI Embedded. Proven ability to lead initiatives, influence stakeholders, and drive innovation in data visualization strategies.

Join us for an exciting opportunity to elevate your career in marketing analytics. As a Performance Marketing Quant Analytics Associate at JPMorgan Chase within the Data and Analytics Team, you will build data pipelines and intelligent dashboards driving strategic insights across marketing campaigns. Collaborate with business lines to deliver impactful analytics solutions. Job Responsibilities Plan, execute, and deliver performance marketing analytics projects. Identify attributes that describe shifts in performance. Create data assets from large disparate sources for unified marketing performance views. Conduct strategic analyses for campaigns, marketing, and personalization. Design dashboards to inform executives on critical operational business KPIs and strategic metrics. Become a trusted partner and thought leader in marketing data & analytics. Invent creative methods to answer key business questions using data assets. Build expertise on marketing data from all Chase lines of business. Synthesize analytical findings for senior business executives in both written and verbal formats. Required Qualifications, Capabilities, and Skills Strong academic background with a STEM Bachelors/Masters from a well-recognized university. 6+ years of advanced hands-on experience in SQL. 5+ years of advanced experience in data visualization, preferably in Tableau. 5+ years of advanced experience in data wrangling, preferably in Alteryx. 5+ years of advanced experience in data wrangling, preferably in ETL. 5+ years of advanced knowledge in MS Excel. Great presentation skills, both verbal and in MS PowerPoint. Preferred Qualifications, Capabilities, and Skills Experience with analytics suite and back-end data of Adobe Analytics, Salesforce Marketing Cloud, Persado, Harmony, or similar tools. Familiarity with cloud-based environments and developing production-level code.

Job Title: Power BI Developer Location: Jaipur, Rajasthan (Onsite) Work Hours: 5:30 PM 2:30 AM IST Employment Type: Full-Time / Contract Job Description: We are looking for a skilled Power BI Developer to join our team onsite in Jaipur. The ideal candidate will have strong experience in data cleaning , reporting , and data visualization , along with the ability to work in a fast-paced, EST-aligned environment. Key Responsibilities: Clean, transform, and prepare data from multiple sources for business intelligence reporting. Design, build, and maintain interactive dashboards and reports using Power BI . Work closely with business stakeholders to understand reporting requirements and translate them into technical solutions. Develop and publish Power BI datasets, reports, and dashboards using best practices. Collaborate with the data engineering and analytics teams for seamless data integration. Create ad-hoc and scheduled reports based on business needs. Required Skills: 3+ years of experience working as a Power BI Developer or in a similar BI role. Proficiency in Power BI , DAX , and Power Query . Experience in data cleaning , data modeling , and data transformation . Strong understanding of data visualization principles and best practices. Working knowledge of Tableau is a plus. Solid SQL skills for querying and extracting data. Strong problem-solving and communication skills. Work Schedule: This is a full-time onsite role that requires working during US Eastern Time (8:00 AM to 5:00 PM EST / 5:30 PM to 2:30 AM IST ). Location: Jaipur, Rajasthan – candidates must be willing to work from the office.

Data Visualization Specialist D3.js – 5+ years – Noida Summary – An excellent opportunity for a creative data visualization professional with strong experience in D3.js and web-based visual storytelling. This role is ideal for individuals who enjoy blending design and data to deliver compelling, user-centric solutions while working with global clients in a flexible environment. Location – Noida Your Future Employer – Data analytics and advisory firm that helps clients understand human and market behaviours to navigate disruption to enhance customer experiences, drive innovation, and boost productivity. Responsibilities Collaborate with DV/BI specialists and analysts to conceptualize and develop high-quality D3.js visualizations. Maintain and enhance interactive visual components while ensuring visual appeal, responsiveness, and data accuracy. Work across multiple visualization tools and programming languages (e.g., Python, R, QlikView, Tableau) depending on client and project priorities. Coordinate with BA and QA teams to ensure timely and accurate project deliveries. Manage visualization documentation via tools such as Git, JIRA, or internal wikis. Requirements 5+ years of experience in web-based data visualization using D3.js. Strong skills in data analytics with experience in structured and unstructured data. Proficient in HTML, JavaScript, CSS, SVG, Node.js, and Object-Oriented Programming. Hands-on experience in data manipulation, modeling, and map-based visualizations. Experience with ETL processes and working in Unix systems is a plus. Additional exposure to Python, R, QlikView, Tableau, and macro programming in Excel is an advantage.

We are looking for experienced and qualified Subject Matter Experts (SMEs) to contribute to content development, curriculum design, and academic support for various subjects.

About Us: Veritas Reputation PR is a specialist public relations agency offering services for corporate reputation management, media relations, issues, and crisis communications. Currently, we are among the top few consultancies for companies/institutions in the BFSI sector, offering creative and innovative PR solutions to achieve complex communication objectives. Being a young and nimble-footed public relations firm, we offer comprehensive solutions across traditional, digital, and social media spaces. We are looking for a versatile Graphic Designer who can bring stories to life through visuals. If you have creative flair, strong execution skills, and experience working in a consultancy setup, our inbox awaits your resume. Designation: Account Executive Responsibilities Create visually aesthetic and effective content for social media, including static creatives (vector and real), GIFs, and video frames. Create & edit reels/videos and craft engaging social media posts with the brand guidelines. Understand the platform and tailor designs accordingly. Design and publish compelling, consistent creative assets for various digital platforms. Create data-led, financial-sector-specific visuals, specifically infographics. Proficiency in social media platforms, especially Twitter / X, LinkedIn, and Instagram. Knowledge of well-known image/video editing and animation software. Stay updated with industry and design trends and techniques. Good communication skills. Understand client requirements and effectively present design concepts and ideas. Qualifications Degree/diploma in graphic design or a related field. Proven working experience of at least 6 months to 1 year in graphic design. Consultancy experience desirable, but freelancers with impressive work profiles may also apply. Strong understanding of design principles, typography, and layout techniques. Attention to detail and the ability to meet deadlines while maintaining high-quality work. Experience in designing social media posts and advertisements for diverse industries. Understanding of the financial sector and ability to create impactful infographics. Industry Public Relations and Communications Services Employment Type Full-time

Analyst - UI/UX/Figma/Tableau - 3+ Years - Gurgaon Summary We are looking for a skilled UI/UX Designer with over 3 years of experience in analytics, dashboard development, and data visualization. In this role, you will work directly with stakeholders to design wireframes and prototypes in Figma for Tableau dashboards. Youll create clean and user-friendly layouts using Tableau UI kits, custom icons, illustrations, and background elements to improve dashboard visuals. Knowledge of using Figma plugins to export designs into Tableau is a big plus. You will also help source data from different systems, update Teradata databases, and build dashboards, reports, and scorecards in Tableau. Good understanding of relational databases and the ability to keep designs consistent and on-brand is important. Location: Gurugram, India Your Future Employer One of the top business consulting firms, this organization is known for its innovation in analytics and design-led intelligence solutions Responsibilities 1. Collaborate with cross-functional teams, including data analysts and developers, to design and implement cutting-edge, user-friendly dashboards. 2. Create engaging user interfaces and intuitive user experiences using tools like Figma and Tableau. 3. Design and develop wireframes, prototypes, and user flows to bring innovative ideas to life. 4. Ensure designs are consistent with branding guidelines while maintaining accessibility and usability. 5. Regularly test and optimize UI/UX designs for performance, functionality, and user satisfaction. 6. Stay up-to-date on the latest design trends, innovations, and tools to continuously improve the quality of deliverables. Requirements To succeed in this role, you should bring: 1. A Bachelors degree in Design, Fine Arts, Computer Science, or a related field. 2. 3+ years of professional experience in UI/UX design within the analytics or business intelligence domain. 3. Proficiency in design tools like Figma, Adobe Suite, and Tableau. 4. Demonstrable experience designing dashboards or data visualization platforms. 5. A strong design portfolio showcasing your skills in content creation, graphic design, and user experience. 6. Deep understanding of accessibility standards, usability principles, and responsive design. What’s in it for you 1. Competitive salary and benefits package. 2. A dynamic and inclusive work environment that fosters growth and creativity. 3. Opportunities to work on impactful projects with a global audience. 4. Access to learning and development programs to elevate your skills further. 5. Flexible working options to support a healthy work-life balance. Reach Us If you feel this opportunity is well-aligned with your career progression plans, please feel free to reach me with your updated profile at hrishikesh.narayan@crescendogroup.in. Disclaimer Crescendo Global specializes in Senior to C-level niche recruitment. We are passionate about empowering job seekers and employers with an engaging, memorable job search and leadership hiring experience. Crescendo Global does not discriminate on the basis of race, religion, Color, origin, gender, sexual orientation, age, marital status, veteran status, or disability status. Note: We receive a lot of applications on a daily basis, so it becomes a bit difficult for us to get back to each candidate. Please assume that your profile has not been shortlisted in case you don't hear back from us in 1 week. Your patience is highly appreciated. Profile Keywords: UI/UX Designer, Figma, Prototyping, Wireframing, Design Systems, Dashboard Design, Tableau, Data Visualization Tools, Analytics Design, Graphic Design, Interactive Dashboards, Relational Database Management, RDBMS, SQL, User Interface Design, User Experience Design, Visual Storytelling, Accessibility, Design Thinking, Cross-functional Collaboration, Stakeholder Management, Responsive Design, Mockups, Usability Testing, Gurugram, Teradata, Data-Driven Design, Business Intelligence, Creative Design Solutions, Component Libraries, Data Mapping, High-Fidelity Designs

DISPLAY - KNOWLEDGE, EXPERIENCE Education qualification Bachelors degree in Engineering, Computer Science, Data Science, Information Systems, or a related field. Overall Experience* Fresher or Relevant manufacturing industry experience Mandatory Experience* 1.Understanding of statistical methods and basic analysis techniques. 2. Knowledge of data visualization tools 3. Basic understanding of data cleaning and preprocessing techniques. 4. Good problem-solving skills and attention to detail. 5. Strong communication skills, both verbal and written, to explain data findings clearly. 6. Eagerness to learn new data analysis techniques and tools. OBJECTIVE OF THE ROLE* To creatively execute designs and drawings of all jobs/projects in timely manner. ACCOUNTABILITIES OF THE ROLE Responsibility 1. Assist in collecting, cleaning, and organizing data from various sources. 2. Help in performing basic data analysis, identifying trends, patterns with outliers and give meaningful insight to management on the same. 3. Support in creating data visualizations and reports to communicate insights to the team. 4. Assist in preparing dashboards and presentations to present data findings. 6. Collaborate with team members and assist in gathering data requirements for projects. 7. Help in maintaining and updating data systems, ensuring data is properly structured for analysis. 8. Learn and apply data analysis tools and techniques as part of on-the-job training.

Agoda is an online travel booking platform that offers a wide range of accommodations, flights, and more. With a global network of 4.7M hotels and holiday properties, as well as flights and activities, we aim to connect travelers worldwide. As part of Booking Holdings and based in Asia, our diverse team of 7,100+ employees from 95+ nationalities across 27 markets works collaboratively in an environment rich in creativity and diversity. Our purpose at Agoda is to bridge the world through travel. We believe that travel enhances people's lives by allowing them to enjoy, learn, and experience the world, bringing individuals and cultures closer together, fostering empathy, understanding, and happiness. As a Senior Manager, Analytics & Insights at Agoda, you will lead strategic and operational initiatives within the Supply department to drive growth and efficiency. Working closely with various stakeholders, including executive leadership and cross-functional teams, you will be responsible for exploring new business opportunities, analyzing scaling challenges, and improving existing operations. Key Responsibilities: - General: This role involves a combination of hands-on business work and executive-level contributions. You will lead a team, contribute to strategy, and drive results. - Project Delivery: Manage and standardize business cases for product development, resource allocation, budgeting, and strategic prioritization. - Experimentation: Define success metrics, validate experiments, and promote an experimental mindset within the teams. - Forecasting and Insights: Provide a macro-level business intelligence view to identify opportunities, overcome obstacles, and drive commercial behaviors. - Analytics & Alerts: Conduct quantitative analysis, data mining, and present business metrics to drive decision-making. - Process Improvement: Collaborate with teams to enhance efficiencies, optimize processes, and prioritize system enhancements. - Reporting: Develop dashboards, reports, and present key datasets for performance monitoring and prioritization. - Leadership: Lead a team of experts, mentor team members, and drive cross-functional collaboration. Requirements for Success: - 6+ years of leadership experience in analytics, data science, insights, or strategy. - Strong expertise in data analysis and visualization tools such as Excel, SQL, Tableau, Python, R, etc. - Experience in statistical modeling, machine learning, and deriving business insights. - Excellent communication skills and ability to engage with stakeholders at all levels. - Strong project management experience and ability to drive results independently. - Bachelor's degree in a quantitative or business-related field. - Experience in strategic issue articulation and negotiation with C-level executives. - People management skills with a track record of developing team members. Preferred Qualifications: - Master's degree in statistics, economics, or a related discipline. - Experience in A/B testing experimentation. - Background in travel industry, e-commerce, tech, or consulting. Agoda is an Equal Opportunity Employer. We keep applications on file for future vacancies and adhere to our privacy policy. Note that Agoda does not accept third-party resumes and is not responsible for any fees related to unsolicited resumes.,