2529 Data Visualization Jobs - Page 38

Koru UX Design is a leading UX design agency specializing in HealthTech. We partner with clients to deliver user-centered design solutions that drive innovation and enhance user experiences. Our design teams work as an integrated extension of our client s teams, deeply embedding ourselves into their processes to create seamless, impactful products. About the Role We are seeking a creative and detail-oriented UI/UX Designer who thrives on crafting intuitive, user-centric designs. As a part of our team, you will play a pivotal role in shaping digital experiences by working collaboratively with product managers, developers, and stakeholders to design innovative solutions for complex problems. Key Responsibilities Design Excellence: Create wireframes, prototypes, and high-fidelity designs to craft engaging user interfaces. User Insights: Develop user personas, flows

YOUR ROLE & RESPONSIBILITIES Design, Develop and maintain web applications using React JS, Redux, and TypeScript. Write clean, modular, and scalable code with a focus on performance and maintainability. Optimize web applications for maximum speed and scalability, with a focus on JavaScript and rendering performance optimizations. Build reusable components and front-end libraries for future use. Collaborate with the design team to create and implement SVG-based graphics, Amcharts / Highcharts , and other data visualization tools. Utilize HTML/CSS, Flexbox, SCSS, and other front-end technologies to build engaging, user-friendly interfaces. Perform unit testing and work with QA to conduct end-to-end testing to ensure high quality releases. Work with microservices and micro-frontend architecture to build modular and scalable applications. Integrate with REST APIs and other HTTP services, and manage data with appropriate storages and data structures. Ensure adherence to web application security best practices and industry standards. Participate in code reviews to maintain high code quality and standards. WHO ARE WE LOOKING FOR: 8+ year s of work experience in the IT industry Capable of working independently as well as being a team player when needed Self-organized, motivated, with a high level of commitment Good level of English SHORTLIST REQUIREMENTS React JS / Redux / Typescript (4+ year s) Javascript (ES6+), Webpack, NPM, CI/CD SVG, Amcharts / Highcharts HTML/CSS, Flexbox, SCSS, mobile-first development, responsive design Javascript and rendering performance optimizations Unit-testing

Every day, tens of millions of people come to Roblox to explore, create, play, learn, and connect with friends in 3D immersive digital experiences- all created by our global community of developers and creators. At Roblox, we re building the tools and platform that empower our community to bring any experience that they can imagine to life. Our vision is to reimagine the way people come together, from anywhere in the world, and on any device. We re on a mission to connect a billion people with optimism and civility, and looking for amazing talent to help us get there. A career at Roblox means you ll be working to shape the future of human interaction, solving unique technical challenges at scale, and helping to create safer, more civil shared experiences for everyone. About the role: The Roblox Operating System (ROS) team is responsible for the foundational technology and services that power all experiences on Roblox. This critical team ensures a seamless, performant, and reliable platform for our global community of users and developers. You will be the first Product Manager hire for our India office, reporting to Theresa Johnson, the Head of Product for ROS. You will play a pivotal role in building and enhancing our data analytics capabilities within the Roblox operating system, collaborating closely with the India-based Data Engineering team, which includes an Engineering Manager, three engineers, and multiple data scientists. This is a full time onsite role based out of our Gurugram office. Shift Time: 2:00PM - 10:30PM IST (Cabs will be provided) You will: Collaborate with data engineering and product engineering teams in India to build integrated analytics tooling. Develop cross-functional data visualization and reporting capabilities. Implement advanced insights extraction methodologies. Develop self-service data exploration tools. Integrate data analytics capabilities into Roblox operating system. Ensure seamless data flow across organizational platforms. Implement cutting-edge data infrastructure solutions. Build a scalable data registry that will allow us to understand, register, classify and govern data across all of ROS. This will involve partnering with data engineers to build and maintain robust data pipelines integrating diverse sources like HR systems (Workday, Greenhouse), collaboration tools (Slack, Zoom), business applications (Pigment, Zendesk), and internal Roblox applications. Partner with Data Scientists to process and transform data into actionable insights, developing systems that generate builder development signals and promote positive behaviors. Contribute to achieving key outcomes such as reducing data access request resolution time by 60%, increasing self-service data exploration adoption by 75%, and achieving 99.9% data pipeline reliability. You have: A Bachelor s degree or equivalent experience in Computer Science, Computer Engineering, or a similar technical field. 8+ years of product management experience, with a focus on data platforms, analytics, or developer tools. Strong understanding of data infrastructure, data warehousing, and ETL processes, including experience with data governance tools focusing on discovery, cataloging, metadata management, classification, and quality assurance. Proven ability to work autonomously and define product scope in ambiguous environments. Experience collaborating with engineering and data science teams to deliver impactful data products. Excellent communication and interpersonal skills, with the ability to articulate complex technical concepts to diverse audiences. You are: Someone with strong product intuition of what we should be doing rather than just following instructions. Highly organized with a strong sense of urgency. A collaborative team player who can navigate cross-functional partnerships effectively. Adaptable and comfortable working in a fast-paced, evolving environment. A strategic thinker with a bias for action and a focus on delivering measurable results. Roles that are based in our San Mateo, CA Headquarters are in-office Tuesday, Wednesday, and Thursday, with optional in-office on Monday and Friday (unless otherwise noted).

We are seeking a Data Scientist (Offshore) with minimum experience of 3 or more years. The ideal candidate should be familiar with relational or NoSQL databases such as Oracle, Teradata, SQL Server, Hadoop and ELK etc. Requirements: Minimum 3 or more years working with languages such as R, Python or Java At least 3 or more years working with advanced statistical methods such as regressions, classifiers, recommenders, anomaly detection, optimization algorithms, tree methods and neural nets etc. Experience presenting and delivering results to business partners. 2+ years of experience in data visualization tools (e.g., Tableau, D3, ggplot, Matlib, Seaborn, PowerPoint)." 2+ years of experience in applying Agile SDLC. #LI-Remote #LI-SK1

At Amazon.com, we strive to be Earth s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life As a Business Analyst, you will help develop an analytic solution to drive deep dives, provide insights into the health and state of the Operations and measure business impact. You will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide. You will own the design, creation, and management of extremely large datasets. From Day 1, you will be challenged with a variety of tasks, ranging from creating datasets, reports, dashboards to metadata modeling, pipeline monitoring. You will interact with internal program and product owners, and technical teams to gather requirements, structure scalable and perform data solutions, and gain a deep understanding of key datasets. You will design, implement and drive adoption of new analytic technologies and solutions and promote industry standard best practices. You will be responsible to tune query performance against large and complex data sets. You will help translate analytic insights into concrete, actionable recommendations for business or product improvement. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) Operations Analytics team. The team is being grown to provide insights and provide analytical solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Bachelors degree in finance, accounting, business, economics, engineering , analytics, mathematics, statistics or a related technical or quantitative field Experience using very large datasets Experience with reporting and Data Visualization tools such as Quick Sight / Tableau / Power BI or other BI packages

At Amazon.com, we strive to be Earth s most customer-centric company. To support this vision, we need exceptionally talented, bright, and driven people. If you would like to help us build the place to find and buy anything online, this is your chance to work hard, have fun, and make history. An ideal candidate for this role: Will have relevant experience in data analytics working with large data sets and to extract and transform data using various tools and technologies Will transform data into actionable business information, and will make it readily accessible to stakeholders worldwide Will use data to support ideas, drive actionable outcomes, and provide unique ways to present data and information in an easy to consume format Will be passionate about finding root causes, trends, and patterns and how they impact business. Will draw inferences and conclusions, create dashboards and visualizations of processed data Will have business and communication skills to be able to work with product owners to understand key business questions to build reports that enable product owners to answer those questions quickly and accurately . Will be very comfortable juggling competing priorities and handling ambiguity . Will thrive in an agile and fast-paced environment on highly visible projects and initiatives A day in the life You will be responsible for modeling forecasting problems, discovering insights and identifying opportunities through the use of statistical, machine learning, algorithmic, data mining and visualization techniques. You will need to collaborate effectively with internal stakeholders and cross-functional teams to analyze forecast variances, understand and mitigate variance drivers, identify opportunities to improve operational efficiencies, and deliver successfully against high organizational standards. You should be able to apply a breadth of tools, data sources and analytical techniques to answer a wide range of high-impact business questions and present the insights in concise and effective manner. Additionally, you should be an effective communicator capable of independently driving issues to resolution and communicating insights to non-technical audiences. This is a high impact role with goals that directly impacts the bottom line of the business. Accurate forecasts drive improvements in cost and quality of our customer service on a global scale. About the team Our team strives to make Amazon the best way for Partners to reach customers locally and globally and to operate their businesses, driven by the accurate and efficient support and solutions we provide them. We are looking for a Business Analyst for its TSE (Trustworthy Shopping Experience) FIAT SEPO. The team is being grown to provide insights and provide WFM solutions to help drive operational efficiencies, uncover the hidden risks and trends, reduce investigation errors, improve customer experience and predict & recommend the optimizations for future state. 3+ years of Excel (including VBA, pivot tables, array functions, power pivots, etc.) and data visualization tools such as Tableau experience 3+ years of tax, finance or a related analytical field experience 3+ years of business or financial analysis experience Experience defining requirements and using data and metrics to draw business insights Experience making business recommendations and influencing stakeholders Experience with Excel Experience using very large datasets

AOP team is looking for an innovative, hands-on and customer-obsessed Business Analyst for Analytics team. Candidate must be detail oriented, have superior verbal and written communication skills, strong organizational skills, excellent technical skills and should be able to juggle multiple tasks at once. Ideal candidate must be able to identify problems before they happen and implement solutions that detect and prevent outages. The candidate must be able to accurately prioritize projects, make sound judgments, work to improve the customer experience and get the right things done. This job requires you to constantly hit the ground running and have the ability to learn quickly. Primary responsibilities include defining the problem and building analytical frameworks to help the operations to streamline the process, identifying gaps in the existing process by analyzing data and liaising with relevant team(s) to plug it and analyzing data and metrics and sharing update with the internal teams. 1) Translate business problems into analytical requirements and define expected output 2) Create analytical approach to solve the problem inline with stakeholder expectation 3) Be the domain expert and have knowledge of data availability from various sources. 4) Execute solution with scalable development practices in scripting, data extraction and data visualization 5) Triangulate data from multiple sources to ensure data fidelity 6) Responsible for deep-dive analysis on key metrics 7) Manage top notch communication with stakeholders and team members with include project progress, blockers etc. A day in the life 1) Solve analyses with well-defined inputs and outputs; drive to the heart of the problem and identify root causes 2) Have the capability to handle large data sets in analysis 3) Derive recommendations from analysis 4) Understand the basics of test and control comparison; may provide insights through basic statistical measures such as hypothesis testing 5) Communicate analytical insights effectively About the team AOP (Analytics Operations and Programs) team is missioned to standardize BI and analytics capabilities, and reduce repeat analytics/reporting/BI workload for operations across IN, AU, BR, MX, SG, AE, EG, SA marketplace. AOP is responsible to provide visibility on operations performance and implement programs to improve network efficiency and defect reduction. The team has a diverse mix of strong engineers, Analysts and Scientists who champion customer obsession. We enable operations to make data-driven decisions through developing near real-time dashboards, self-serve dive-deep capabilities and building advanced analytics capabilities. We identify and implement data-driven metric improvement programs in collaboration (co-owning) with Operations teams. 1+ years of tax, finance or a related analytical field experience 2+ years of complex Excel VBA macros writing experience Bachelors degree or equivalent Experience defining requirements and using data and metrics to draw business insights Experience with SQL or ETL Experience working with Tableau Experience using very large datasets

Job Title: Analytics and Modeling AssociateLocation: Bengaluru Experience: 02 Years Education: 15 Years Full-TimeJob SummaryWe are seeking a motivated Analytics and Modeling Associate to support data-driven decision-making through insightful analysis, statistical modeling, and reporting Ideal for early-career professionals with a passion for data and problem-solving Key ResponsibilitiesCollect, clean, and analyze data to support business goalsBuild and maintain statistical models and dashboards Collaborate with stakeholders to define analytical needsPresent findings and provide actionable insightsSupport continuous improvement through data innovationMust-Have Skills Strong knowledge of Excel, SQL, and Python/R Understanding of statistical modeling and data visualization Familiarity with tools like Power BI / Tableau Excellent analytical and communication skills

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Bengaluru Senior Flexera Data Analyst Data Science India Chennai Data Scientist Data Science India Bengaluru Gurugram, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Gurugram *

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Gurugram Senior Flexera Data Analyst Data Science India Chennai Business Analyst Data Science Poland Remote Poland Bengaluru, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Bengaluru *

Graph Data Modeling & Implementation. Design and implement complex graph data models using Cypher and Neo4j best practices. Leverage APOC procedures, custom plugins, and advanced graph algorithms to solve domain-specific problems. Oversee integration of Neo4j with other enterprise systems, microservices, and data platforms. Develop and maintain APIs and services in Java, Python, or JavaScript to interact with the graph database. Mentor junior developers and review code to maintain high-quality standards. Establish guidelines for performance tuning, scalability, security, and disaster recovery in Neo4j environments. Work with data scientists, analysts, and business stakeholders to translate complex requirements into graph-based solutions. Skills Must have 12+ years in software/data engineering, with at least 3-5 years hands-on experience with Neo4j. Lead the technical strategy, architecture, and delivery of Neo4j-based solutions. Design, model, and implement complex graph data structures using Cypher and Neo4j best practices. Guide the integration of Neo4j with other data platforms and microservices. Collaborate with cross-functional teams to understand business needs and translate them into graph-based models. Mentor junior developers and ensure code quality through reviews and best practices. Define and enforce performance tuning, security standards, and disaster recovery strategies for Neo4j. Stay up-to-date with emerging technologies in the graph database and data engineering space. Strong proficiency in Cypher query language, graph modeling, and data visualization tools (e.g., Bloom, Neo4j Browser). Solid background in Java, Python, or JavaScript and experience integrating Neo4j with these languages. Experience with APOC procedures, Neo4j plugins, and query optimization. Familiarity with cloud platforms (AWS) and containerization tools (Docker, Kubernetes). Proven experience leading engineering teams or projects. Excellent problem-solving and communication skills. Nice to have N/A Other Languages English: C1 Advanced Seniority Senior Refer a Friend Positive work environments and stellar reputations attract and retain top talent. Find out why Luxoft stands apart from the rest. Recommend a friend Related jobs View all vacancies Senior Flexera Data Analyst Data Science India Gurugram Senior Flexera Data Analyst Data Science India Bengaluru Data Scientist Data Science India Bengaluru Chennai, India Req. VR-114556 Data Science BCM Industry 23/05/2025 Req. VR-114556 Apply for Data Engineer with Neo4j in Chennai *

Looking for a well-rounded Financial Analyst who can provide critical business partner support to our IT / ITes Services Business units. The candidate will be responsible for supporting Executive and Finance team members with data insights, budgets, and forecasts and other ad-hoc analyses. What you ll do: Provide finance support to the business teams regarding productivity, demand planning, reporting, and financial metrics Assist in the preparation of annual budgets and forecasts, variance analyses, long--range financial plans, risk/opportunity assessments, and periodic/ad hoc reporting Collaborate with cross function teams to ensure all reporting and analytics are performed in an accurate and timely manner. Develop and maintain financial models for business unit that impact the entire organization Partner with cross-functional teams during the close process, which includes reviewing departmental general ledgers, recording transactional activity, preparing revenue and expense accruals, and providing P&L and variance explanations to budget and forecasts Ensure timely and accurate reporting and analysis of key variances in monthly and quarterly KPIs- Analyse financial data to identify trends, variances, and opportunities for improvement Automate reporting into Power BI along with dashboard building for monthly reporting. Communicate and present actionable business insights to team members through charts, tables, and other data visualization. Designing and developing interactive dashboards and reports Collaborating with stakeholders to understand data needs Analyzing datasets to uncover trends and insights Maintaining data accuracy and integrity within BI systems Translating business requirements into technical specifications What you ll need: Minimum of a bachelor s degree in finance, accounting, or economics with 4-5 years of relevant industry experience Advanced financial modelling and data analysis skills using Microsoft Excel. Knowledge of Power BI (with DAX)/SQL is must . Knowledge of accounting concept is a plus. Knowledge of NetSuite is a plus. Effective communication, presentation skills in a matrixed organization Highly organized and able to handle simultaneous projects, gathering and processing data from multiple sources. Ability to work effectively on multiple projects at the same time. Ability to extrapolate linkages between large amounts of financial and operational data, generate insights and distil complex concepts into actionable information. Able to work independently and with global, cross functional virtual team to consistently deliver flawless work solutions within aggressive and changing time constraints. Who you are: Motivated, high-potential performer, with demonstrated ability to influence and lead. Strong communicator with excellent interpersonal skills Able to solve complex problems and successfully manage ambiguity and unexpected change. Teachable and embracing of best practices and feedback as a means of continuous improvement. Consistently high achiever marked by perseverance, humility, and a positive outlook in the face of

Experience working in large Software Development Teams Knowledge and experience in Agile Delivery mechanisms Work with business stakeholders, SCRUM masters, Designers and testers in SCRUM team. Proficient in English language with ability to lead stakeholder conversations. Experience in generating insights through data and articulating stories addressing business problems. Total Experience Expected: 6-8 years Mandatory Technical Skills: Proficiency in SQL- Windows Function, Python for data analysis. Experience with data visualization tools like Tableau Total Experience Expected: 04-06 years Role: Data Analyst, Skillset: Python, SQL, Tableau, Data Visualization Experience: 6-8 years Location: Noida, Chennai & Pune

Senior Data Engineer II, Business Intelligence & Reporting Gurgaon, Haryana, India AXA XL recognizes digital, data, and information assets are critical for the business, both in terms of managing risk and enabling new business opportunities This data should not only be high quality, but also actionable - enabling AXA XL s executive leadership team to maximize benefits and facilitate sustained dynamic advantage Our Data, Intelligence & Analytics function is focused on driving innovation by optimizing how we leverage digital, data, and AI to drive strategy and differentiate ourselves from the competition As we develop an enterprise-wide data and digital strategy that moves us toward a greater focus on the use of data and strengthening our digital, AI capabilities, we are seeking a Deputy Manager, BI and Reporting In this role, you will support/manage BI & reporting What you ll be DOING Your essential responsibilities include: BI & Reporting Management: Oversee and support Business Intelligence (BI) and Reporting products, ensuring their effectiveness and alignment with organizational goals Stakeholder Engagement: Manage Business as Usual (BAU) activities for BI and Reporting, fostering effective communication and relationships with stakeholders to understand their needs and expectations Model Integration: Energize and synergize various Business Intelligence models and reporting systems to enhance data insights and reporting capabilities Strategic Initiative Support: Collaborate with the Data Intelligence and Analytics (DIA) team on various strategic initiatives, enabling the development of BI and Reporting functions and related capabilities Talent Development: Foster the growth of BI and Reporting talent across AXA XL by promoting an inclusive and diverse environment that encourages the utilization and value creation of our strategic digital, data, and analytics assets Customer-Centric Culture: Instill a customer-first mindset within the team, prioritizing exceptional service for business stakeholders and ensuring their needs are met Team Development: Contribute to the enhancement of the Business Intelligence teams tools, skills, and culture, driving positive impacts on team performance and outcomes You will report to Senior Manager, Business Intelligence & Reporting What you will BRING At AXA XL, we view individuals holistically through their People, Business, and Technical Skills We re interested in what you bring, how you think, and your potential for growth We value diverse backgrounds and perspectives, recognizing that each person contributes uniquely to our teams success We value relevant education and experience in a related field Additionally, we encourage candidates with diverse educational backgrounds or equivalent experience to apply Here are some of the key skills important for the role: People Skills Customer Centricity: Brings a collaborative spirit, a can-do attitude, and a Customer First mindset, ensuring that stakeholder needs are prioritized Cross-Functional Collaboration: Ability to communicate effectively with teams, peers, and stakeholders across the globe, fostering collaboration and understanding Able to help and guide team members on technical issues, fostering their development and promoting self-directed problem-solving Growth Mindset: Passion for digital, data, and AI, along with a commitment to personal and team development in a digital and data-driven organization Resilience: Ability to lead a project or team, demonstrating adaptability and leadership under various circumstances Analytical & Strategic Mindset: Ability to analyze data effectively and develop strategic insights that drive decision-making and improve business outcomes Performance Excellence: Commitment to delivering high-quality results and continuously improving processes and performance metrics within the team BUSINESS Skills Business & Insurance Acumen: Ability to showcase relevant industry knowledge supporting multiple specialty areas of Data and Analytics Stakeholder Management: Ability to manage stakeholders effectively, understanding their needs and ensuring clear communication and support Simplifies Complexity: Ability to distill complex data concepts and analyses into clear, actionable insights for stakeholders Ensuring that technical information is accessible, enabling informed decision-making and fostering collaboration between technical and non-technical teams TECHNICAL Skills Data Visualization: Experience with end-user BI tools like Power BI, enabling effective presentation and visualization of data insights Reporting Tools: Proficincy in SQL, Advanced Excel, MS Access, and VBA, allowing for effective data manipulation and reporting Data Analytics: Ability to help and guide team members on technical issues, fostering skill development within the team to self-directedly manage data analytics tasks

Senior Analyst, BI Solution Design & Transformation Gurgaon/ Bangalore, India AXA XL recognizes data and information as critical business assets, both in terms of managing risk and enabling new business opportunities This data should not only be high quality, but also actionable - enabling AXA XL s executive leadership team to maximize benefits and facilitate sustained advantage Our Chief Data Office also known as our Innovation, Data Intelligence & Analytics team (IDA) is focused on driving innovation through optimizing how we leverage data to drive strategy and create a new business model - disrupting the insurance market As we develop an enterprise-wide data and digital strategy that moves us toward greater focus on the use of data and data-driven insights, we are seeking an Assistant Manager for our Business Intelligence team The role will support the team s efforts towards reporting transformation project (especially for Ceded Re business) and handling customer requests/enhancements This role requires a person that is a team player, can work well with team members from other disciplines to deliver data in an efficient and strategic manner What you ll be DOING What will your essential responsibilities include: Business Intelligence Management: Oversee and manage Business Intelligence (BI) and Reporting activities, ensuring smooth operations and effective stakeholder engagement Product Support and Management: Support and enhance BI and Reporting products, driving improvements that align with organizational goals and stakeholder needs Model Integration and Optimization: Energize and synergize various Business Intelligence models and reporting frameworks to enhance data insights and reporting effectiveness Strategic Initiative Support: Collaborate with the IDA team on various strategic initiatives, facilitating the development of BI and Reporting functions and related capabilities as they arise Talent Development: Foster the growth of BI and Reporting talent across AXA XL by promoting an inclusive and diverse environment that enhances the utilization and value creation of our digital, data, and analytics assets Customer-Centric Culture: Instill a customer-first mentality within the team, prioritizing exceptional service and responsiveness to the needs of business stakeholders Team Development and Culture Building: Contribute to the enhancement of the Business Intelligence team s tools, skills, and culture, driving positive impacts on team performance and outcomes You will report to the Senior Manager, Business Intelligence & Reporting What you will BRING At AXA XL, we view individuals holistically through their People, Business, and Technical Skills We re interested in what you bring, how you think, and your potential for growth We value diverse backgrounds and perspectives, recognizing that each person contributes uniquely to our teams success We value relevant education and experience in a related field Additionally, we encourage candidates with diverse educational backgrounds or equivalent experience to apply Here are some of the key skills important for the role: PEOPLE Skills Customer Centricity: Brings a collaborative spirit, a can-do attitude, and a Customer First mindset, ensuring that stakeholder needs are prioritized Agility: Ability to communicate effectively within teams, peers, and across global teams, adapting to changing circumstances and stakeholder needs Growth Mindset: Passion for digital, data, and AI, demonstrating a commitment to continuous learning and development in a digital and data-driven organization Resilience: Ability to help and guide team members on technical issues, fostering their development so that the team can Self-directedly manage challenges Performance Excellence: Relevant years of experience in a data role (analytics or engineering) supporting multiple specialty areas of Data and Analytics, showcasing a excellent track record of high performance Cross-Functional Collaboration: Ability to effectively manage stakeholders and collaborate across various teams to achieve common goals BUSINESS Skills Ethical Judgment: Understanding of ethical considerations in data management and business practices, ensuring integrity in decision-making Digital Literacy: Relevant years of end-user experience with BI tools like Power BI, including the Report Builder tool, demonstrating proficiency in utilizing digital tools for data analysis Business & Insurance Acumen: A foundational understanding of general business concepts and principles, with an openness to learning about the insurance or financial services industry, providing a basis for growth in the role TECHNICAL Skills Data Analytics: Intermediate proficiency in SQL, Advanced Excel, MS Access, and VBA, enabling effective data manipulation and analysis Reporting Tools: Extensive experience in building and managing data models in Power BI, contributing to effective reporting and insights generation Data Visualization: Proficiency in utilizing BI tools to create meaningful visualizations that drive insights and support decision-making

At McCormick, we bring our passion for flavor to work each day. We encourage growth, respect everyones contributions and do whats right for our business, our people, our communities and our planet. Join us on our quest to make every meal and moment better. Founded in Baltimore, MD in 1889 in a room and a cellar by 25-year-old Willoughby McCormick with three employees, McCormick is a global leader in flavour. With over 14,000 employees around the world and more than $6 Billion in annual sales, the Company manufactures, markets, and distributes spices, seasoning mixes, condiments and other flavourful products to the entire food industry, retail outlets, food manufactures, food service businesses and consumers. While our global headquarters are in the Baltimore, Maryland, USA area, McCormick operates and serves customers from nearly 60 locations in 25 countries and 170 markets in Asia-Pacific, China, Europe, Middle East and Africa, and the Americas. At McCormick, we have over a 100-year legacy based on our Power of People principle. This principle fosters an unusually dedicated workforce requiring a culture of respect, recognition, inclusion and collaboration based on the highest ethical values. Position Overview Provide the business with analytic tools and insights that drive growth and/or productivity. Provide technical leadership for analytics community via forward thinking attitude, use of cutting-edge tools and approaches and business consulting. Individual should help shape business and analytics strategies for our business units globally. Key Responsibilities Bringing new tools to the business; leading data mining and analytics, interpreting and reporting of large integrated data sets built with structured and unstructured data; developing tools to leverage new proprietary data sources. Statistical model building and deployment in the areas of forecasting, marketing mix, machine learning/AI, etc. Continuously seeking out industry best practices and skills development to create new capabilities for data analytics at McCormick to drive marketing strategy. May include managing/coaching direct reports to enable responsibilities above. Required Qualifications & Experience Bachelor s or Master s degree in Mathematics, Statistics, Engineering or Data Analytics/Science, or closely related field. Demonstrated skills and results in analyzing complex datasets, generating insights and building robust statistical models; Demonstrated sound understanding of concepts, principles and practices in Marketing and Sales and a working knowledge of practices in other areas including Finance and Supply Chain. Demonstrated ability to connect the dots between complex data/analytics and business understanding. Expertise in data management, integration & harmonization. Expertise in SQL, coding in one or more languages (R & Python preferred) Experience with data visualization software (Tableau preferred) Comfortable working with structured and unstructured data sources, including syndicated data, SAP Strong technical curiosity and passion for problem solving and innovation Interpersonal Skills Strong global cross-functional leadership, influence, communication and teamwork skills. Ability to manage multiple priorities simultaneously and foresee and address issues before they become significant obstacles WHY WORK AT MCCORMICK? United by flavor. Driven by results. As a McCormick employee you ll be empowered to focus on more than your individual responsibilities. You ll have the opportunity to be part of something bigger than yourself to have a say in where the company is going and how it s growing. Between our passion for flavor, our 130-year history of leadership and integrity, the competitive and comprehensive benefits we offer, and our culture, which is built on respect and opportunities for growth, there are many reasons to join us at McCormick.

Amdocs helps those who build the future to make it amazing. With our market-leading portfolio of software products and services, we unlock our customers innovative potential, empowering them to provide next-generation communication and media experiences for both the individual end user and enterprise customers. Our employees around the globe are here to accelerate service providers migration to the cloud, enable them to differentiate in the 5G era, and digitalize and automate their operations. Listed on the NASDAQ Global Select Market, Amdocs had revenue of $5.00 billion in fiscal 2024. For more information, visit www.amdocs.com In one sentence Understand the business needs of the customer and assess the impact of those needs in order to communicate and implement the recommended efficient solutions. What will your job look like Analyst, Recommendation & Analytics: Primary Skills Maintain and enhance SAS RTDM (Real-Time Decision Manager) workflows for decisioning logic and customer treatment strategies. Secondary - Develop and design and execute marketing campaigns using SQL, and SAS CI360, SAS Direct. Maintain and enhance existing SAS Direct campaign configurations and ensure timely campaign execution. Technologies -SAS Direct, SAS CI 360, BI Tools" All you need is... Degree in Computer Science or Industrial Engineering & Management - Information System. Customer-facing experience - ability to communicate the Amdocs solution using various methods (presentations, demos, and so on). Wide knowledge of relevant products and E2E Business process. Knowledge of the telecom industry and Amdocs business processes (ETOM, ASOM). Experience in managing a team in cross-Amdocs domain solutions. Why you will love this job: Use your outstanding business analysis skills to make a significant impact on leading solutions that produce the most efficient product solutions. Be a key member of a global, dynamic and highly collaborative team with various possibilities for personal and professional development! You will have the opportunity to work in multinational environment for the global market leader in its field. We offer a wide range of stellar benefits including health, dental, vision, and life insurance as well as paid time off, sick time, and parental leave!

Department : Business Analytics Job Overview: We are seeking a talented R Analytics to join our analytics team. The ideal candidate will possess a strong background in data analysis, statistical modeling, and proficiency in the R programming language. You will be responsible for analyzing complex datasets, providing insights, and developing statistical models to support business decisions. Key Responsibilities: Utilize R programming to analyze large and complex datasets, performing data cleaning, transformation, and analysis. Develop and implement statistical models (regression, time series, classification, etc.) to provide actionable insights. Conduct exploratory data analysis (EDA) to identify trends, patterns, and anomalies. Visualize data through plots, charts, and dashboards to effectively communicate results to stakeholders. Collaborate with cross-functional teams to define business problems and develop analytical solutions. Build and maintain R scripts and automation workflows for repetitive tasks and analysis. Stay updated with the latest developments in R packages and data science techniques. Present findings and insights to stakeholders through clear, concise reports and presentations. Qualifications : Bachelor's/Master's degree in Statistics, Mathematics, Data Science, Computer Science, or a related field. at least the last 6-10 years in a senior role specifically focusing on R Language, R Studio, and SQL. Strong knowledge of statistical techniques (regression, clustering, hypothesis testing, etc.). Experience with data visualization tools like ggplot2, shiny, or plotly. Familiarity with SQL and database management systems. Knowledge of machine learning algorithms and their implementation in R. Ability to interpret complex data and communicate insights clearly to non-technical stakeholders. Strong problem-solving skills and attention to detail. Familiarity with version control tools like Git is a plus.

The Lead - Sales Analytics will be responsible for delivering data-driven insights that optimize sales performance, enhance forecasting accuracy, and drive opportunity pipeline growth. This role translates complex data into actionable intelligence, enabling leadership to make informed strategic decisions. Key Responsibilities: Develop and execute a sales intelligence strategy, leveraging analytics across various IT platforms and applications including SFDC to optimize sales operations. Own and enhance sales reporting, analytics, and scorecards, ensuring visibility into lead and lag key performance indicators (KPIs) and revenue-driving metrics. Design and implement real-time SFDC dashboards and performance tracking mechanisms, ensuring sales teams have access to critical insights on demand. Lead pipeline analysis and data-driven sales forecasting, enabling proactive decision-making and resource allocation. Partner with sales leadership to identify trends, gaps, and opportunities, providing strategic recommendations for growth and efficiency. Facilitate Account governance frameworks to ensure account growth targets are met. Leverage advanced an alytics and AI-driven insights to drive sales effectiveness, customer engagement, and revenue acceleration. Qualifications: Bachelor s degree in Business, Data Analytics, Finance, or a related field. 7+ years of experience in sales analytics, business intelligence, or revenue operations. Expertise in data visualization tools (Power BI, Tableau) and Salesforce SFDC. Strong analytical mindset with a proven ability to translate data into actionable business strategies. Experience in forecasting methodologies, predictive analytics, and revenue modelling.

Job Summary: This role collaborates across client teams to uncover, synthesize, analyze, and present critical information, supporting the team to identify insights and shape recommendations. The consultant will translate data analysis into a cohesive narrative, presenting findings clearly to both the team and clients. This position provides analytical support to the Enterprise Effectiveness team and requires excellent customer service and a proactive, problem-solving approach. The ideal candidate possesses a strong analytical mindset with the intuition to ask clarifying questions to uncover deeper insights. Essential Responsibilities: Manage the entire analysis process from inception to completion, including advising on data nuances, providing suggestions on methodology, and preserving data security and integrity. Define the design and layout of each analysis, working with clients to ensure data accuracy and quality. This includes conducting market research and performing rigorous data analysis. Develop compelling visualizations within PowerPoint and Excel. Conduct research, data analysis, and benchmarking to inform decision-making. Support the development of strategic recommendations for internal business challenges. Assist in preparing executive-level presentations and reports. Analyze workflows, identify inefficiencies, and propose process enhancements. Support implementation of leading practices to improve business performance. Assist in financial/business modeling, business case development, and cost-benefit analysis. Use data analytics to generate insights and support internal projects. Monitor trends and provide actionable insights to leadership. Support client and customer immersion activities, including stakeholder interviews and market research. Develop compelling presentations with a clear point of view, using formats such as PowerPoint. Clearly articulate findings and recommendations in a concise and impactful manner. Work effectively with teams across multiple departments to execute strategic initiatives. Assist in project management, including tracking deliverables and coordinating stakeholders. Support project teams in driving change management. Education: Bachelors degree in business, Engineering, or a related field (or equivalent experience). Experience: Overall Experience looking for 10 -15 Years with project management role. Required: 2 years in strategy, operations, M&A, organizational development, general management, or a related field within a consulting firm or other professional environment. Preferred: Experience working in complex, matrixed environments or in the US Healthcare, Insurance industry. Skills: Ability to synthesize analysis, recommend actions, and prioritize next steps. Demonstrated ability to exercise initiative, independent judgment, and be a self-starter. Advanced knowledge of Excel and PowerPoint, including data visualization techniques. Strong written and oral communication skills. Solid organizational skills and meticulous attention to detail. Demonstrated ability to use complex and interrelated data to generate insights. Strong analytical and problem-solving skills; intuition to ask clarifying questions where ambiguity exists. Ability to translate data analysis into a cohesive story via presentations. Ability to work independently while collaborating with global teams.

Position Summary Overall 12+ years of quality engineering experience with DWH/ETL for enterprise grade applications Hands on experience with functional, non-functional and automation of products Hands on experience with leverage LLMs/GenAI for improving efficiency & effectiveness of overall delivery process Job Responsibilities Leading end-to-end QE for product suite Authoring QE test strategy for a release and executing it for a release Driving quality releases by closely working with development, PMs, DevOps, support and business teams Achieving automation coverage for product suite with good line coverage Manage risks and resolves issues that affect release scope, schedule and quality Work with product teams to understand impacts of branches and code merges, etc. Lead and co-ordinate the release activities including the execution of overall Ability to lead team of SDETs and help them in addressing their issues Mentoring and coaching members in the team Education BE/B.Tech Master of Computer Application Work Experience Overall 12+ years of strong hands-on experience with DWH/ETL for enterprise grade applications Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Talent Management Technical Competencies Lifescience Knowledge AWS Data Pipeline Azure Data Factory Data Governance Data Modelling Data Privacy Data Security Data Validation Testing Tools Data Visualisation Databricks Snowflake Amazon Redshift MS SQL Server Performance Testing

Position Summary This is the Requisition for Employee Referrals Campaign and JD is Generic. We are looking for Associates with 5+ years of experience in delivering solutions around Data Engineering, Big data analytics and data lakes, MDM, BI, and data visualization. Experienced to Integrate and standardize structured and unstructured data to enable faster insights using cloud technology. Enabling data-driven insights across the enterprise. Job Responsibilities He/she should be able to design implement and deliver complex Data Warehousing/Data Lake, Cloud Data Management, and Data Integration project assignments. Technical Design and Development – Expertise in any of the following skills. Any ETL tools (Informatica, Talend, Matillion, Data Stage), andhosting technologies like the AWS stack (Redshift, EC2) is mandatory. Any BI toolsamong Tablau, Qlik & Power BI and MSTR. Informatica MDM, Customer Data Management. Expert knowledge of SQL with the capability to performance tune complex SQL queries in tradition and distributed RDDMS systems is must. Experience across Python, PySpark and Unix/Linux Shell Scripting. Project Managementis must to have. Should be able create simple to complex project plans in Microsoft Project Plan and think in advance about potential risks and mitigation plans as per project plan. Task Management – Should be able to onboard team on the project plan and delegate tasks to accomplish milestones as per plan. Should be comfortable in discussing and prioritizing work items with team members in an onshore-offshore model. Handle Client Relationship – Manage client communication and client expectations independently or with support of reporting manager. Should be able to deliver results back to the Client as per plan. Should have excellent communication skills. Education Bachelor of Technology Master's Equivalent - Engineering Work Experience Overall, 5- 7years of relevant experience inData Warehousing, Data management projects with some experience in the Pharma domain. We are hiring for following roles across Data management tech stacks - ETL toolsamong Informatica, IICS/Snowflake,Python& Matillion and other Cloud ETL. BI toolsamong Power BI and Tableau. MDM - Informatica/ Raltio, Customer Data Management. Azure cloud Developer using Data Factory and Databricks Data Modeler-Modelling of data - understanding source data, creating data models for landing, integration. Python/PySpark -Spark/ PySpark Design, Development, and Deployment

Position Summary This role will be responsible for in-patient journey analysis and working with patient-level data to develop a robust solution for the client's teams. An expert in Patient Analytics who can guide and lead the team supporting pharma clients Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education BE/B.Tech in IT or Computer Master Diploma - Business Administration in Business Administration Work Experience Overall, 3-5years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey, like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc, using various data sources Experience using various patient-level data like APLD, LAAD, EMR, patient registries, Prescription data, formulary data, etc Strong in logical reasoning, structuring of analysis, asking the right questions, and logical approach to analyze data, problems, and situations. Experience in pharmaceutical sales and marketing analytics would be preferred Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL Pharma Commercial Know How Others Patient Data Analytics

Position Summary To be a driven business analyst who can work on complex Analytical problems and help the customer in better business decision making especially in the area of Pharma (domain). Job Responsibilities Effectively manage the client/ onshore stakeholders, as per the business needs, to ensure successful business delivery. Work closely with the project manager to define the algorithm, break down the problem into execution steps, and run the analysis Ensure high-quality analytics solutions/reports to the client Delivery role will include project scoping, solution design, execution, and communication of the analysis in the client-ready formats Contribute towards Axtria tools and capabilities as per the business requirements. Build organization capabilities by participating in Hackathon, solution design, and process automation Effectively communicate with onshore/ client (as per business needs) Education Bachelor of Engineering in Statistics Work Experience Overall, 4-6 years of rich experience in the Pharmaceutical / Life Sciences Domain. We are looking for experts in the space of commercial pharmaceutical analytics- HCP analytics, payer analytics, and patient analytics. Worked on advanced analytics in the pharma domain throughout the patient journey like the line of therapy, switch analysis, source of business, segmentation, persistence & compliance, adherence, and patient identification, etc using various data sources Experience using various patient-level data like APLD,LAAD, EMR, patient registries, Prescription data, formulary data, etc Can work across a variety of projects from advanced analytics, ad-hoc analysis, and reporting Effectively communicate with onshore/ client (as per business needs) Relevant experience in Statistical/ modeling knowledge, ability to transform data to insights, good data visualization/ reporting skills Good to have work experience in building statistical modeling and/or AI/ML models using Python, R-Studio, PySpark, Keras, and TensorFlow. Technical knowledge- R/ Python/ SQL. Knowledge of self-service analytics platforms such as DataiKU/ KNIME/ Alteryx will be an added advantage. MS Excel knowledge is mandatory. Behavioural Competencies Teamwork & Leadership Motivation to Learn and Grow Ownership Cultural Fit Project Management Communication Technical Competencies Python R SQL EXCEL MMx Forecasting Machine Learning Pharma Commercial Know How HEOR EPI and Economic Analysis HEOR Simulation Analysis Patient Data Analytics Know How Dataiku KNIME Others

• Communicate with Planners/Buyers on Po creation requirements. • Monitor and collect data on Supplier KPI (Extra) • Purchase order creation, Amendment and follow ups on weekly basis • Quantitative analysis expertise • Critical thinking skills