4127 Data Visualization Jobs - Page 14

The Lead Data Modeler role involves developing high performance, scalable enterprise data models on a cloud platform. You must possess strong SQL skills along with excellent data modeling expertise, and be well-versed in the Kimball methodology. Your responsibilities include participating in various activities throughout the systems development lifecycle, supporting activities, engaging in POCs, and presenting outcomes effectively. Additionally, you will be responsible for analyzing, architecting, designing, programming, debugging both existing and new products, as well as mentoring team members. It is crucial to take ownership and demonstrate high professional and technical ethics with a consistent focus on emerging technologies beneficial for the organization. You should have over 10 years of work experience in data modeling or engineering. Your duties will involve defining, designing, and implementing enterprise data models, building Kimball-compliant data models in the Analytic layer of the data warehouse, and constructing 3rd normal form-compliant data models in the hub layer of the data warehouse. You must translate tactical/strategic requirements into effective solutions that align with business needs. The role also requires participation in complex initiatives, seeking help when necessary, reviewing specifications, coaching team members, and researching coding standards improvements. Technical skills include hands-on experience in SQL, query optimization, RDBMS, Data Warehouse (ER and Dimensional modeling), modeling data into star schemas using the Kimball methodology, Agile methodology, CICD frameworks, DevOps practices, and working in an onsite-offshore model. Soft skills such as leadership, analytical thinking, problem-solving, communication, and presentation skills are essential. You should be able to work with a diverse team, make decisions, guide team members through complex problems, and effectively communicate with leadership and business teams. A Bachelor's degree in Computer Science, Information Systems, or a related technical area is required, preferably B.E in Computer Science/Information Tech. Nice-to-have skills include experience with Apache Spark Python, graph databases, data identification, ingestion, transformation, and consumption, data visualization, SAP Enterprise S/4 HANA familiarity, programming language skills (Python, NodeJs, Unix Scripting), and experience in GCP Cloud Ecosystem. Experience in software engineering across all deliverables, including defining, architecting, building, testing, and deploying, is preferred. The Lead Data Modeler role does not offer relocation assistance and does not specify a particular work shift.,

Job Description: At PwC, the focus in data and analytics revolves around utilizing data to drive insights and enable informed business decisions. Utilizing advanced analytics techniques is pivotal in assisting clients to optimize operations and achieve strategic goals. In the realm of data analysis at PwC, you will be engaged in extracting insights from large datasets utilizing advanced analytical techniques, thus fostering data-driven decision-making. Your role will encompass leveraging skills in data manipulation, visualization, and statistical modeling to aid clients in solving intricate business problems. Emphasizing relationships, you will be tasked with establishing meaningful client connections and honing skills in managing and inspiring others. In navigating increasingly complex situations, you will be developing your personal brand, enhancing technical expertise, and identifying your strengths. Anticipating the needs of your teams and clients, while delivering quality results is essential. Embracing ambiguity, you will exhibit comfort when faced with unclear paths, utilizing questioning as a tool for growth. Examples of the skills, knowledge, and experiences required to lead and deliver value at this level include but are not limited to: - Responding effectively to diverse perspectives, needs, and feelings of others. - Utilizing a broad range of tools, methodologies, and techniques to generate new ideas and solve problems. - Employing critical thinking to break down complex concepts. - Understanding the broader objectives of your project or role and aligning your work with the overall strategy. - Enhancing business context understanding and adapting to changes. - Using reflection to enhance self-awareness, strengths, and development areas. - Interpreting data to derive insights and recommendations. - Upholding professional and technical standards in accordance with specific PwC guidelines and codes of conduct. Job Summary: The role within the Analytics Data Assurance practice at PwC within the Risk and Regulatory vertical of Advisory practice offers an opportunity to assist clients in developing analytics and technology solutions for risk detection, monitoring, and prediction. By utilizing data analytics tools and technologies, you will aid business leaders in solving challenges and contribute to the growth of the practice across different markets, fostering professional relationships, and effective communication with stakeholders. Job Description: As a Senior, you will collaborate within a team of problem solvers with extensive consulting and industry experience, assisting clients in resolving complex business issues from strategy to execution. Specific responsibilities include but are not limited to: - Providing support to clients with technology consulting solutions. - Performing data analysis and offering insights using tools like SQL, Tableau, Power BI, and Excel. - Conducting data preparation and cleansing of raw data for analysis employing tools like Alteryx and Python. - Engaging with global teams, participating in calls, posing relevant inquiries, and providing status reports to various stakeholders. - Developing a profound understanding of business problems and applying an end-user perspective to address challenges. - Leading a small team of 1-2 individuals and becoming a subject matter expert in at least 2 technologies. General: - Demonstrating an ability and interest in learning new technologies. - Delivering client technological needs with optimal quality. - Communicating clearly in writing, speaking, and presenting to project stakeholders. - Collaborating effectively with a geographically dispersed team. - Remaining responsive to client demands, project deadlines, and defect discovery and resolution. - Understanding client requirements and translating them using technologies. Skills: Must Have: - Strong analytical and problem-solving skills. - Proficient in SQL/Python programming. - Project experience with ETL and/or data visualization tools such as Alteryx, Tableau, or Power BI. - Good communication skills including stakeholder management and status reporting experiences. Good To Have: - Cloud Experience. - Experience in Risk Management. - Consulting and Accounting experience. Preferred Qualifications: B.Tech (B.E), MCA from a reputed college/University.,

As a People Operations Specialist at Okta, you will play a crucial role in driving continuous improvement and process optimization within our Shared Services organization. Your expertise in process excellence, technical skills in ServiceNow, self-service portal design, and AI chatbot integration will be instrumental in enhancing service delivery, driving automation, and enabling data-driven decision-making across Shared Services. Your responsibilities will include designing and developing self-service portals on ServiceNow, integrating AI-powered chatbots for intelligent case routing, knowledge retrieval, and user support. You will also analyze existing workflows to streamline operations, reduce cycle times, and improve service quality. Establishing standardized best practices, process governance, and cross-functional collaboration will be key aspects of your role. Collaborating with business stakeholders, driving adoption of new tools and processes, and acting as a liaison between Shared Services, IT, and external vendors for enhancements will be crucial for success in this role. Ensuring compliance with governance, maintaining process documentation, and championing knowledge management will also be part of your responsibilities. To excel in this position, you should hold a Bachelor's degree in Business, Engineering, Information Systems, or a related field (Masters preferred) and have at least 8 years of experience in Shared Services, Process Improvement, or Business Operations with leadership experience. Technical skills required include hands-on experience with ServiceNow, designing AI-powered self-service portals, integrating chatbots, and proficiency in data visualization tools. Key competencies such as strategic thinking, process optimization, change leadership, data-driven decision-making, and cross-functional collaboration will be essential for success in this role. Strong analytical, problem-solving, communication, and stakeholder management skills are also crucial. As a Full-Time Okta employee, you can look forward to amazing benefits, making a social impact, developing talent, and fostering connection and community at Okta. Okta provides a dynamic work environment, empowering employees to work productively and creatively. Join us at Okta today and find your place in a setting that best suits your needs.,

As a Sales Manager I at Swiggy, you will play a crucial role in managing client accounts by understanding their goals, needs, and challenges. You will develop account strategies to overcome obstacles and maximize growth, conduct regular business reviews, analyze performance data, and identify opportunities for improvement. Your responsibilities will include driving business growth, delivering incremental revenue, and maintaining strong relationships with restaurant owners. To excel in this role, you should be a graduate with excellent communication skills and have a good understanding of e-commerce activities and online marketing channels. A confident and go-getter personality along with effective communication skills are essential. You should possess a strong attitude and aptitude for sales, be a team player, and have analytical skills with proficiency in Excel. Leadership, influencing skills, initiative, flexibility, creativity, and problem-solving abilities are also key attributes for success in this position. Key skills required for this role include P&L understanding, market research, customer lifetime value, business development, data analysis, interpretation, and visualization, MS Excel proficiency, result orientation, managing relationships, conflict management, and problem-solving. By being the face of Swiggy in the market and upholding our values, you will contribute to the continuous growth and success of the organization. Join Swiggy's dynamic team and be a part of a tech-first approach to logistics and innovative solutions to consumer demands. With a presence in 500 cities across India and a focus on unparalleled convenience, Swiggy offers a fast, seamless, and reliable delivery experience for millions of customers. By working with us, you will have the opportunity to make a significant impact in the market and grow professionally while contributing to the success of the company.,

At PwC, our data and analytics team focuses on utilizing data to drive insights and support informed business decisions. We leverage advanced analytics techniques to assist clients in optimizing their operations and achieving strategic goals. As a data analysis professional at PwC, your role will involve utilizing advanced analytical methods to extract insights from large datasets, enabling data-driven decision-making. Your expertise in data manipulation, visualization, and statistical modeling will be pivotal in helping clients solve complex business challenges. PwC US - Acceleration Center is currently seeking a highly skilled MLOps/LLMOps Engineer to play a critical role in deploying, scaling, and maintaining Generative AI models. This position requires close collaboration with data scientists, ML/GenAI engineers, and DevOps teams to ensure the seamless integration and operation of GenAI models within production environments at PwC and for our clients. The ideal candidate will possess a strong background in MLOps practices and a keen interest in Generative AI technologies. With a preference for candidates with 4+ years of hands-on experience, core qualifications for this role include: - 3+ years of experience developing and deploying AI models in production environments, alongside 1 year of working on proofs of concept and prototypes. - Proficiency in software development, including building and maintaining scalable, distributed systems. - Strong programming skills in languages such as Python and familiarity with ML frameworks like TensorFlow and PyTorch. - Knowledge of containerization and orchestration tools like Docker and Kubernetes. - Understanding of cloud platforms such as AWS, GCP, and Azure, including their ML/AI service offerings. - Experience with continuous integration and delivery tools like Jenkins, GitLab CI/CD, or CircleCI. - Familiarity with infrastructure as code tools like Terraform or CloudFormation. Key Responsibilities: - Develop and implement MLOps strategies tailored for Generative AI models to ensure robustness, scalability, and reliability. - Design and manage CI/CD pipelines specialized for ML workflows, including deploying generative models like GANs, VAEs, and Transformers. - Monitor and optimize AI model performance in production, utilizing tools for continuous validation, retraining, and A/B testing. - Collaborate with data scientists and ML researchers to translate model requirements into scalable operational frameworks. - Implement best practices for version control, containerization, and orchestration using industry-standard tools. - Ensure compliance with data privacy regulations and company policies during model deployment. - Troubleshoot and resolve issues related to ML model serving, data anomalies, and infrastructure performance. - Stay updated with the latest MLOps and Generative AI developments to enhance AI capabilities. Project Delivery: - Design and implement scalable deployment pipelines for ML/GenAI models to transition them from development to production environments. - Oversee the setup of cloud infrastructure and automated data ingestion pipelines to meet GenAI workload requirements. - Create detailed documentation for deployment pipelines, monitoring setups, and operational procedures. Client Engagement: - Collaborate with clients to understand their business needs and design ML/LLMOps solutions. - Present technical approaches and results to technical and non-technical stakeholders. - Conduct training sessions and workshops for client teams. - Create comprehensive documentation and user guides for clients. Innovation And Knowledge Sharing: - Stay updated with the latest trends in MLOps/LLMOps and Generative AI. - Develop internal tools and frameworks to accelerate model development and deployment. - Mentor junior team members and contribute to technical publications. Professional And Educational Background: - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

You will be involved in building a machine learning-based anomaly detection system using structured and sequential sensor data. Your main task will be to identify unusual patterns or faults through data modeling and visualization. This internship will provide you with a real-world opportunity to work on machine learning pipelines and understand both supervised and unsupervised approaches to anomaly detection. During this phase, you will focus on offline/static modeling using historical sensor data in tabular and time-series formats. Your primary objectives will include analyzing sensor datasets representing various operational scenarios, applying and evaluating supervised classification models, transitioning into unsupervised anomaly detection approaches, visualizing insights, and documenting findings for technical and non-technical audiences. Your key responsibilities will involve performing data preprocessing tasks such as cleaning, encoding, normalization, and feature engineering. Additionally, you will be required to train and evaluate classification models using Artificial Neural Networks (ANN) and Long Short-Term Memory (LSTM) models for sequence-based classification. You will also explore and implement unsupervised anomaly detection techniques like Isolation Forest, One-Class SVM, and Z-score or IQR-based statistical methods. Analyzing and visualizing model outputs using confusion matrices, anomaly heatmaps, and time-series plots will also be part of your responsibilities. Optionally, you may also be tasked with building a lightweight dashboard (e.g., using Streamlit) to present findings. TechnoExcel is the leading training and consulting company in Hyderabad offering data analytics solutions.,

As a Senior Data Analyst (C11) at Citi's Analytics Information Management (AIM) team, you will be an integral part of a global community dedicated to driving data-driven transformation across the organization. Your primary focus will be on creating actionable intelligence for business leaders by implementing best-in-class data quality measurement programs within the retail consumer bank on a global scale. Your responsibilities will include supporting critical areas such as regulatory compliance by executing business data quality measurements in alignment with programs like CCAR and AML. You will also play a key role in designing metrics, standardizing data definitions, preparing scorecards, managing data governance, identifying and resolving issues, and providing support for audits. To excel in this role, you must possess strong analytical skills, with the ability to analyze and visualize data, formulate analytical methodologies, identify trends and patterns, and generate actionable business insights. Proficiency in tools like SAS, SQL, Python, MS Excel, PowerPoint, and VBA will be advantageous. Additionally, a good understanding of data definitions, data lineage, data quality frameworks, and process improvement related to compliance and data quality initiatives is essential. Experience in designing KPIs, issue resolution, remediation activities, and identifying control gaps will be beneficial. Ideal candidates should hold an MBA or Master's degree in Economics, Statistics, Mathematics, Information Technology, Computer Applications, or Engineering from a premier institute. A background in Computer Science, Mathematics, Operations Research, Econometrics, or Management Science is preferred. You should have 5 to 8 years of hands-on experience delivering data quality solutions, with at least 2 years in the Banking Industry. In addition to technical skills, soft skills such as the ability to solve complex business problems, excellent communication, interpersonal skills, process/project management abilities, and the capacity to work effectively across functional areas will be crucial. You should thrive in a dynamic, fast-paced environment. If you are excited about leveraging your expertise to drive data-driven transformation and create actionable intelligence within a global banking environment, we encourage you to apply for this challenging and rewarding position.,

As a Data Scientist at the AI/ML CoE of Cyient, you will be applying your expertise in artificial intelligence, machine learning, data mining, and information retrieval to design, prototype, and build next-generation advanced analytics engines and services. Your role will involve collaborating with business partners to define technical problem statements, developing efficient analytical models, and incorporating them into analytical data products or tools with the support of a cross-functional team. Your responsibilities will include collaborating with business partners to develop innovative solutions using cutting-edge techniques, effectively communicating the analytics approach to meet objectives, advocating for data-driven decision-making, and leading analytic approaches to integrate work into applications and tools with data engineers, business leads, analysts, and developers. You will also be responsible for creating dynamic and scalable models, engineering features by combining disparate data sources, and sharing your passion for Data Science with the broader enterprise community. To be successful in this role, you should have a Bachelor's degree in Data Science, Computer Science, Engineering, Statistics, or a related field, with 5+ years of experience or a graduate degree in a quantitative discipline with a demonstrated Data Science skill set and 2+ years of work experience. Proficiency in Python, complex SQL queries, and Machine Learning is essential, along with the ability to merge and transform internal and external data sets. Experience with Big Data technologies, data visualization tools, and supporting deployment and maintenance of models is desired. You should possess exceptional communication and collaboration skills, a bias for action, the ability to efficiently learn and solve new business domains and problems, and a healthy skepticism around the validity of data. Intellectual curiosity, humility, exemplary organizational skills, and the ability to coach, mentor, and collaborate with various stakeholders are also key attributes for this role.,

The AI & Data Intern position at Novasensa in Delhi NCR offers a unique opportunity to work on building a custom AI Assistant aimed at automating experiments, analyzing lab data, and supporting decision-making to promote sustainability. Novasensa is a deep-tech sustainability company focusing on lithium-ion battery and e-waste recycling, contributing to clean energy, circular economy, and India's mineral self-reliance. During the minimum 3-month internship (extendable to 6 months), you will have the chance to use your Python and data skills on a real-world AI system, gaining valuable experience in automation, data visualization, and semantic search. The internship provides mentorship from a startup team working at the intersection of sustainability, engineering, and software, allowing you to contribute to India's green growth and circular economy mission. As an AI & Data Intern, your responsibilities will include programming and automation tasks such as writing Python scripts to process experimental data, automating R&D tasks, and assisting in building backend tools for experiment tracking and analysis. Additionally, you will be involved in data analysis and visualization by analyzing lab results, generating visual summaries, and creating dashboards using tools like Excel, Python (Pandas, Matplotlib), or Streamlit. You will also have the opportunity to contribute to AI Assistant Development by assisting with document parsing, semantic search, and testing and improving the performance of the AI assistant using real lab data. Novasensa is seeking curious and motivated learners with basic to intermediate Python programming skills, an understanding of data structures, functions, file handling, and familiarity with data visualization tools. Exposure to AI tools and an interest in clean energy, recycling, or sustainability are considered advantageous for applicants. Candidates pursuing or recently completing degrees in Computer Science, Data Science, AI, ML, Statistics, Mathematics, or related fields are encouraged to apply. To apply for this internship, please email hr@novasensa.com with your resume in PDF format and a short note (max 300 words) explaining why you want to intern at Novasensa and what you hope to learn and contribute. Applications are reviewed on a rolling basis, and early applicants are preferred. Join Novasensa to utilize your coding skills for a cleaner planet and make a positive impact through innovation and sustainability.,

As a Data Scientist within the People Analytics team, you will lead and contribute to all phases of workforce analytics projects, from data acquisition and modeling to advanced analysis and implementation. Your work will directly support strategic decision-making across the employee lifecycle by uncovering actionable insights from complex, large-scale people data. You will design and build robust data models to support workforce planning, talent management, and organizational effectiveness. Additionally, you will apply machine learning (ML) and artificial intelligence (AI) techniques to identify patterns and predict outcomes related to employee engagement, retention, and performance. Conducting advanced data mining and pattern analysis to surface trends and anomalies in workforce behavior and organizational dynamics will also be a key responsibility. Collaboration with cross-functional teams, including HRBPs, IT, and business leaders, to implement data-driven solutions into products and service offerings is essential. Moreover, ensuring data integrity, privacy, and ethical use of employee data in all analytics initiatives is crucial. The ideal candidate should have a university degree in a quantitative field (e.g., Statistics, Computer Science, Economics, Psychology) or an equivalent combination of education and experience. A minimum of 6 years of experience in data science, preferably with a focus on people analytics or HR-related domains, is required. Proficiency in Python, R, SQL, and data visualization tools (e.g., Power BI, Tableau) is necessary. Experience with cloud-based data platforms and ML frameworks is also expected. Strong communication skills and the ability to translate complex findings into business-relevant insights are essential for this role.,

As an intern, your day-to-day responsibilities will involve designing and developing slick, user-friendly UIs that function seamlessly across various devices. You will be tasked with connecting real-time APIs to create interactive IoT dashboards, devices, and data representations. Additionally, you will be responsible for constructing dynamic visualizations such as real-time graphs, alerts, and device statuses. Collaboration with designers and backend developers will be essential to deliver a seamless and intuitive user experience. Your role will also include optimizing performance for live IoT data streams and handling massive datasets efficiently. Ensuring mobile-first and cross-browser compatibility will be crucial to guarantee a smooth user experience across different platforms. Writing clean, testable code and contributing to a reusable UI component library will be part of your routine tasks. Active participation in code reviews will provide you with opportunities to enhance your frontend engineering skills. We appreciate a particular mindset in our team members. We value individuals who possess curiosity, self-motivation, and a willingness to explore new tools and frameworks. A keen eye for design combined with a focus on functional code is highly regarded. Emphasis on writing clean, modular, and testable code is central to our work culture. We encourage proactive behavior, open communication, and the ability to propose innovative solutions. Building products that are used by people and witnessing your contributions go live is something we strive for. Thriving in a fast-paced environment where continuous learning and rapid product deployment are essential qualities we look for in our team members. About the Company: Our company specializes in assisting customers in understanding their energy costs and analyzing data to achieve significant cost savings. Our services include consulting, SaaS solutions, Building Energy Management Systems (BEMS), and energy performance contracts, providing end-to-end visibility in energy management.,

As a Senior Associate in the Deals Strategy Acceleration Center at PwC, you will play a crucial role in leveraging data and analytics to drive insights and support clients in making informed business decisions. Your focus will be on utilizing advanced analytical techniques to extract valuable insights from large datasets, enabling data-driven decision-making. By applying skills in data manipulation, visualization, and statistical modeling, you will help clients optimize their operations and achieve strategic goals. In this role, you will be tasked with building meaningful client relationships, managing and inspiring others, and navigating complex situations to grow both personally and professionally. You are expected to anticipate the needs of your teams and clients, deliver quality work, and embrace ambiguity by seeking opportunities for growth in unclear situations. Your responsibilities will include creating and reviewing delivery modules, participating in onboarding and training programs, driving day-to-day deliverables by assisting in work-planning and problem-solving, contributing to the development of technical and business acumen within your team, and engaging closely with US DS teams to support client engagements. Additionally, you will demonstrate critical thinking, delegate tasks to provide growth opportunities, and uphold the firm's code of ethics and business conduct. Desired experience and skills for this role include 4 to 7 years of industry experience with a focus on service delivery, proficiency in data visualization tools such as Tableau/Power BI and Excel/Google Charts, the ability to work on multiple projects under strict timelines both independently and in a team environment, and experience in conducting primary and secondary research, analysis of complex data, and creating client-ready deliverables. Soft skills such as effective communication, strong work ethic, strategic thinking, and problem-solving abilities are highly valued. A strong educational background, preferably an MBA from premier B-Schools, along with analytical ability and leadership skills, is desired for this position. In addition to the specific responsibilities and skills required, you will be expected to contribute to practice enablement and business development activities. This full-time role may involve varying work hours for specific projects, and while travel requirements are not applicable, prior experience in consulting or exposure to a multinational environment is preferred.,

Role: Power BI with Azure Experience: 6-9 Years Relevant Experience in Power BI :7+ Years Notice Period: Immediate to 15 Days Joiners Only Must-Have: Developed and oversee comprehensive reporting processes utilizing Power BI, SQL Server and Azure Expertise and hands on experience in SQL coding, debugging and reporting Must have 1+ Years of experience in Azure Development of dashboards using Power BI Desktop Publishing dashboards in Power BI Service Implementation of Power BI gateways Implementation of Row Level Security Creating effective Data models in PBI or SQL SSAS & Advanced MS Excel PowerBI Paginated Reports, DAX, SSRS Design and create insightful dashboards employing a variety of available visualizations, with a strong focus on design principles to ensure the development of ecient Power BI dashboar Actively participate in scrum ceremonies, leveraging the Azure DevOps board Reach us:If you are interested in this position and meet the above qualifications, please reach out to me directly at swati@cielhr.com and share your updated resume highlighting your relevant experience.

we're on the lookout for a Product Designer who can lead end-to-end design for our growing suite of digital products. Your mission is to craft seamless, intuitive user experiences for platforms that serve real users and solve real problems. you'll work on everything from onboarding flows to feature-rich dashboards, ensuring every interaction feels fresh, thoughtful, and user-centered. What you'll Do End-to-End Design Ownership: Take full responsibility for design projects from research and wireframes to final visual designs and usability testing. Craft Clean Interfaces: Design intuitive dashboards, user flows, and interfaces that simplify complex workflows. Collaborate Across Teams: Work closely with product managers, developers, and stakeholders to ensure alignment between user needs, business goals, and technical feasibility. Rapid Prototyping: Use tools like Figma , Adobe XD , or Sketch to create wireframes, prototypes, and high-fidelity visuals in fast iteration cycles. Design Systems: Contribute to and help evolve our design system to ensure consistency across products. What We Expect 2+ years of experience in product design with a strong portfolio showcasing end-to-end work on real digital products. Tool Proficiency: Hands-on experience with modern design tools like Figma, Sketch, or Adobe XD. User-Centric Thinking: You design not just for aesthetics, but for real-world usability and impact. UX/UI Expertise: Strong skills in designing for both mobile and web platforms with a focus on clarity, simplicity, and usability. Problem-Solving Mindset: Ability to understand user pain points and craft practical, elegant solutions. Excellent Communication: Capable of articulating your design decisions clearly to both technical and non-technical stakeholders. Nice to Have Experience with data visualization and building dashboards that track performance or user metrics. Exposure to user research and usability testing methodologies. Familiarity with building and maintaining design systems . Why The Alter Office Ownership-Driven Culture: you'll have the freedom to take your ideas from concept to implementation. Work with Passionate Minds: Collaborate with a driven, cross-functional team that values bold thinking and innovation. Room to Grow: As we expand into new product areas, you'll have plenty of opportunities to grow your role and shape the future of our design team

We are seeking a dynamic & detail oriented senior research professional to oversee daily operations of our India market research team. Ideal candidate will be responsible for ensuring high-quality data collection, analysis, reporting, and insights delivery that supports strategic business decisions and investment opportunities. This role requires a hands-on leader with a good understanding of real estate markets, strong analytical skills, and experience managing research processes and teams. Job Description About The Role: Team Management: Supervise, mentor, and coordinate the work of a team of real estate analysts and researchers. Assign daily tasks, set priorities, and monitor performance to ensure timely and accurate output. Provide regular feedback, training, and development opportunities to team members. QC reports / periodicals authored by junior research members Research Operations: Oversee the collection, validation, and analysis of real estate data including leases, sale, rents, construction status, and economic indicators. Ensure process adherence to standardized methodologies for data gathering and reporting. Maintain quality control across research deliverables including reports, dashboards, and presentations. Market Intelligence & Reporting: Produce regular market research reports covering trends, forecasts, and competitive analysis across asset classes (residential, commercial, industrial, etc.). Collaborate with internal stakeholders (investment, development, acquisitions, and strategy teams) to provide actionable insights. Monitor key trends, regulatory changes, and economic factors affecting real estate markets. Process Improvement: Identify and implement improvements in research tools, workflows, and data sources. Introduce automation or advanced analytics techniques to enhance team productivity and insight generation. Stakeholder Engagement: Act as a point of contact for external data providers, consultants, and industry bodies. Present research findings to internal leadership or external clients when needed. About You: Bachelors degree in Real Estate, Economics, Urban Planning, Finance, or a related field (Masters degree preferred). 12+ years of experience in real estate research or analytics, with at least 2-3 years in a team leadership role. Strong knowledge of real estate markets, data sources, and research methodologies. Proficiency in MS Excel, PowerPoint, and other research tools (e.g., REIS, PropEquity, Real Capital Analytics etc.) Experience with GIS, data visualization, or statistical software (e.g., Tableau, Power BI, R, or Python) will be an advantage. Excellent communication, organizational, and leadership skills.

Group: Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology. First Games is India’s leading gaming app for real money games. Our platform consists of skill based games, like Rummy, Ludo, Poker, Fantasy and Call Break, that are being enjoyed by over 3 Cr real players across the nation. Our vision is to use top-notch technology to create value on the hours a user spends on gaming on our platform. With over 1,000Cr in monthly winnings and 1.2Bn games played annually, our focus is on innovating user experience on our platform and providing unbeatable value in terms of entertainment & rewards. About the Role- We are seeking a self-motivated Business Analyst to join our team. In this role, you will be instrumental in providing data-driven insights to our Business and Product Management teams. You will leverage your strong SQL, Tableau, Python and Excel skills to extract and manipulate data from our database, and will be responsible for building and maintaining automated dashboards and data pipelines that feed into our reporting infrastructure. This is an excellent opportunity for someone who is passionate about data, detail-oriented, and eager to make a tangible impact on business decisions. Key Responsibilities *Collaborate with cross-functional teams to understand business needs and translate them into actionable data-driven insights. *Create and maintain automated dashboards using tools like Tableau, Superset to visualize key business metrics that support decision-making. *Leverage SQL to extract and analyze data from various systems, ensuring accuracy and relevance. *Use Python for exploratory automation, data analysis, trend spotting, and visual storytelling. *Continuously evaluate existing reporting processes to identify improvement or automation opportunities. *Monitor data flows and pipelines to ensure timely and accurate reporting; troubleshoot issues proactively. *Uphold high standards of data quality and consistency across reporting and analysis efforts. *Support stakeholders with ad-hoc analysis, business insights, and recommendations in a fast-paced environment. Qualifications -Bachelor's degree in Engineering, Computer Applications, Analytics or related field -4-5 years of experience in data analysis, data operations, data engineering or similar role -Proficiency in SQL, Python, Tableau/Superset and MS Excel -Understanding of user engagement and retention metrics -Strong analytical and problem-solving skills -Good communication and presentation abilities -Attention to detail and ability to manage multiple priorities effectively Why join us: A collaborative output driven program that brings cohesiveness across businesses through technology. Improve the average revenue per use by increasing the cross-sell opportunities. Flat hierarchy and open communication. Compensation : If you are the right fit, we believe in creating wealth for you with enviable 500 mn+ registered users, 25 mn+ merchants and depth of data in our ecosystem, we are in a unique position to democratize credit for deserving consumers & merchants – and we are committed to it. India’s largest digital lending story is brewing here. It’s your opportunity to be a part of the story! Paytm is India's leading mobile payments and financial services distribution company. Pioneer of the mobile QR payments revolution in India, Paytm builds technologies that help small businesses with payments and commerce. Paytm’s mission is to serve half a billion Indians and bring them to the mainstream economy with the help of technology.

Essential Hiring Skills Strong analytical and quantitative skills. Proficiency in data analysis tools and software (e.g., Excel, SQL, Tableau). Excellent communication and interpersonal skills. Ability to learn and understand demand forecasting concepts and apply knowledge on the job with strong analytical skills. Ability to effectively operate in a fast-paced, business-decision driving analytical environment. Ability to demonstrate intermediate skill level in MS Excel, including formulating pivot tables, if statements, vlookup statements, etc. Good to have Hiring Skills Passionate about working with business partners to identify opportunities, driving business decisions with data and analysis. Proactive, self-directed, strategic, and tactical with an intellectual curiosity for analyzing and interpreting information. Strong communication skills with the ability to interact collaboratively and influence others without authority. Functional knowledge of Inventory Management principles and KPIs of OTB, sell through and inventory turn rates, COGS variance, WOS, etc. Responsibilities Collaboration for product life cycle within functions Demand Forecasting: Read and analysis and updating of demand forecasts Inventory Management: Understand concept and make business decision on inventory management for seasons Data Interpretation: Utilize Tableau to generate and interpret exception reports for inventory management Trend Analysis: Be part of weekly projections on moving parts for analysis on Inventory planning Performance Review: Analyze the Demand Analysis report to assess sales trends and item performance, making strategic recommendations for future media and marketing initiatives. Operational Efficiency: Review & Evaluate stock levels to provide insights on backorders, cancellations, etc. Cross-Departmental Coordination: Collaborate with the production department on reorder placements, actively monitoring purchase order (PO) shipping statuses and delivering timely updates to senior management. Backorder Management: Track and prioritize top backorder and anticipated backorder items Overstock Strategy: Identify overstocks and develop actionable strategies & inputs of promotions Liquidation Oversight: Maintain overstock disposition codes and identify end-of-season overstocks as reporting KPI Achievement: Drive efforts to meet service KPI goals related to backorders and cancellations Perks and Benefits 5 days WFO with 2 Rotational days-off. Rotational 24*7 Shift US client exposure. One-way cab facility.

Education and Work Experience Requirements: 5 to 8 years of experience as Data Scientist or GenAI specialist 2 to 3 years of experience in Generative AI solution development Proven track record and experience with with GenAI technologieso Open source LLMs like Llama, Gemma, Mixtral etc o Closed source LLMs such as Open AI GPT, Azure Open AI, Claude, Gemini etc o Prompt Engineering/Tuning, RAG, RAFT, LLM finetuning such as PEFT(LoRA, QLoRA . . )o Understanding of SLMs such as Phi3, BERT and Transformer architectureo Vector databases like Pincone, Qdrant etc. Good knowledge of advanced statistical methods. Experience working with Text Data using transformer-based model Expertise with the following scripting languages:o Python, R, Tensorflow, Keras, Pytorcho OpenNLP, CoreNLP, WordNet, NLTK, SpaCy, Gensim, Large Language Models, Knowledge Graphs Good and experience of machine learning algorithms and ability to apply them in supervised and un-supervised NLP tasks. Knowledge of NLP algorithms that can handle various NLP tasks such as intent recognition, entity extraction, language modeling, text classification, question answering, text summarization, topic modeling and so on. Experience building and fine-tuning Language Models (LMs), such as BERT, ELMo, XLNet etc to solve bespoke NLP tasks. Tech savy and willing to work with open-Source Tools Should have independently handled a project technically and provided directions to the other Team Members. Able to lead the project independently. Experience in turning ideas into actionable designs. Able to persuade stakeholders and champion effective techniques through development. Strong interpersonal and communication skills: ability to tell a clear, concise, actionable story with data, to folks across various levels of the company. Good to have foundational knowledge on Cloud, API frameworks like Flask, Fast API, Swagger/Postman tools Prior experience working on Mobility or Healthcare domain will be a plus Mandatory Skills: Design, develop, test, and deploy Machine Learning models using state-of-the-art algorithms with a strong focus on language models. Strong understanding of LLMs, and associated technologies like RAG, Agents, VectorDB and Guardrails Hand-on experience in GenAI frameworks like LlamaIndex, Langchain, Autogen, etc. Experience in cloud services like Azure, GCP and AWS Interact with our research team and with key partners in the market to build end-to-end AI/ML/NLP solutions: Conversational AI, document understanding and QnA. Mine and analyze data, applying statistical methods as necessary, pertaining to customers discovery, and viewing experiences to identify critical product insights. Proactively develop new metrics and studies to quantify the value of different aspects of product. Drive efforts to enable product and engineering leaders to share your knowledge and insights through clear and concise communication, education, and data visualization. Translate analytic insights into concrete, actionable recommendations for business or product improvement. Build and improve reusable tools & modelling pipelines and support knowledge sharing across several teams. Define and deploy best practices in Machine Learning & MLOps/LLMOps, mentor and teach colleagues. Partner closely with product and engineering leaders throughout the lifecycle of project Additional Information:A Master s or PhD is preferred (Computer Science / Machine Learning/ Mechanical, etc) from tier 1 institutions. If Bachelors, Machine Learning or Computer Science specialization only

RESEARCH SENIOR EXECUTIVE JOB DESCRIPTION DISCIPLINE OVERVIEW: ANALYTICS Mediabrands Analytics contributes towards the agencys success in several ways. • Generating additional revenue through successful insight, data and analyticsprojects. • Supporting our clients and planners in understanding audiences, business challenges and producing great work. • Contributing to new business success. • Thought leadership through research and written work. ROLE OVERVIEW: INSIGHT SENIOR EXECUTIVE A major part of the role is to assist in the management of the delivery of successful research and insight projects to clients, both in the UK and across EMEA. These are usually primary research projects, using quantitative and/or qualitative methods. Some projects use secondary research, using data from syndicated sources and desk research. These research projects typically entail: writing proposals; writing questionnaires and discussion guides; managing fieldwork and data processing; conducting focus groups and depth interviews; processing and analysing data; creating and delivering debrief presentations. The insight senior executive should be proficient at, and confident in, several of these.These projects involve a range of research methods and approaches, including: brand and ad tracking, and campaign evaluation; usage and attitudes studies; brand studies; audience exploration and segmentation; depth interviews and focus groups. Key to making the role a success is a genuine appetite for understanding people. An insight senior executive will have a natural curiosity to understand the true motivations behind consumer behaviours. An insight senior executive should be able to work independently on certain tasks, but can expect to work closely with, and learn from, their manager on other tasks. They should be happy to collaborate with others – across the whole agency, be comfortable with data in various forms, have a keen eye for analysis, insight and storytelling. They should also have experience in presenting research, and be confident in their viewpoints. ROLE AND RESPONSIBILITIES Assist in the running of research projects, which involves these tasks. • Take client brief • Write proposal • Liaise with research partners • Manage fieldwork • Conduct analysis • Write debrief Work on new business pitches. • Design research • Share insights with team Support group director, associate director, and other roles within analytics team. Complete ad hoc tasks when requested. KEY RELATIONSHIPS Colleagues across client advice and management, strategy, and comms design, to deliver on client briefs The wider Analytics department disciplines (Data Science etc.) on client projects Analytics teams across EMEA Clients, particularly those with whom we run ongoing projects Colleagues at Kinesso, our data and tools partner QUALIFICATIONS AND EXPERIENCE Degree level or equivalent are preferred, but not necessarily essential. Market research qualifications are looked upon favourably too. Approximately three years’ experience in research roles is highly desirable. A high degree of competence and experience in quantitative research is essential. Some experience of qualitative research would be beneficial too. Skilled in use of Q and/or SPSS (or similar data management software). Strong Excel and PowerPoint skills are essential. Excellent written and oral English skills are essential.

Were seeking a Financial Analyst to join our Corporate FP&A team, with a key focus on transactional payment costs. This role involves delivering consistent reporting and insightful analysis to guide business decisions, ensuring value and clarity across the organization. Youll work closely with multiple teams, combining your financial expertise and strong analytical skills to drive impactful recommendations. What youll do Design and maintain a consistent documentation process and library of existing agreements across the business. Model financial impact of new agreements , ensuring we are optimising best practice and getting value for money. Utilize available information to produce timely and informed cost forecasts, and track accuracy of these , and apply lessons learnt. Prepare informative monthly financial reports and dashboards for senior management. Analize data, identify trends, and conduct variance analysis to enhance strategic decisions. Spot opportunities for process improvements and reporting automation. What youll bring 36 years in FP&A or financial analysis, ideally in a tech environment. Strong analytical skills, with advanced Excel and experience in Qlik or PowerBI a plus. Excellent communication skills for translating complex data into clear insights. Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

About the role The Data Intelligence Center of Excellence is looking for a high-performing Senior Data Scientist to support Blackbaud customers through the creation and maintenance of intelligent data products . Additionally, the senior data scientist will collaborate with team members on research and thought leadership initiatives . What youll do Use statistical techniques to manage and analyze large volumes of complex data to generate compelling insights to include predictive modeling, storytelling, and data visualization I ntegrate data from multiple sources to create dashboards and other end-user reports Interact with internal customers to identify and define topics for research and experimentation Contribute to white papers, presentations, and conferences as needed C ommunicate insights and findings from analys e s to product, service, and business managers Work with data science team to automate and streamline modeling processes Manage standard tables and programs within the data science infrastructure , providing updates as needed Maintain updated documentation of products and processes Participate in team planning and backlog grooming for data science roadmap What you'll bring We are seeking a Data Scientist with 5+ years of hands-on experience demonstrating strong proficiency in the following areas 2 + years of machine learning and /or statistics experience 2 + years of experience with data analysis in Python, R, SQL, Spark, or similar Comfortable asking questions and performing in-depth research when given vague or incomplete specifications Confidence to learn product functionality on own initiative via back-end research, online training resources, product manuals, and developer forums Experience with Databricks, Databricks SQL Analytics is a plus Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

CSMs are responsible for retention of our customers, and organized for the most part by region, vertical, size, and/or product, with robust use of customer success tools to effectively execute responsibilities. They are also customer advocates, serving as voice of the customer within Blackbaud, internally guiding customer strategy; product, service and support requirements; experience across Market Groups and Verticals; product and relationship marketing and other communications; and other functional areas.The Internal CSM assists the customer-facing CSM teams by answering inbound requests, running & preparing reports and other customer-facing materials, consolidating data and generating materials & information to help CSMs with escalation management. Responsibilities: Understand the needs and priorities of customers across the social good ecosystem, industry best practices, and how our specific solution capabilities drive valueProduce materials to help CSMs develop and execute jointly agreed success plans with each customer, underpinned by regular executive business review meetings, to ensure speed to results against their desired outcomesAnalyze and share customer product usage data and rapidly identify opportunities for strategic action to reduce retention risk and drive progress towards outcomesUnderstand and track customer sentiment data, respond promptly to user survey responses, and proactively action wellness plans for at-risk customersSupport the wider customer success and marketing teams to identify and develop adoption webinars, user groups, events, blogs, customer stories, and other thought leadership for customersAssist the renewals team when needed, such as when a renewal is identified as being at high risk or currently interrupted for any reasonPerform robust data management activities in Gainsight to underpin all the above responsibilities, which benefits customer-facing staff across Blackbaud and management metrics and reportingAssist other CSMs and teams as needed, providing expertise, mentoring and guidance embracing our single team approach to customer success globally.In support of these responsibilities, all CSMs should proactively seek to:Help customers drive increased usage of and value from Blackbaud solutions towards their outcomesHelp protect and grow recurring revenue (software, premium services, and transactional processing)Produce and maintain a library of best practice usage and use cases from other customersHelp understand, track and improve the health, needs and satisfaction of our customersBe responsive to customer requests and concerns.Cohesive relationships with other teams is critical working together to maximize the value Blackbaud brings each customer, in alignment with their organizational outcomes and a clear understanding of roles and responsibilities. This includes close partnership across our customer success center of excellence, with products and marketing, and between CSMs and customer account executives (sales) as the core customer account team Required qualifications: Strong understanding of the enabling role of cloud software, services, expertise, and data intelligence to connect people to drive impactExperience working with Software SolutionsExperience and demonstratable competence in Customer SuccessDemonstrable experience with relationship-building, account management, and/or delivering outstanding customer serviceExcellent written, oral communication, and presentation skillsCompetence and comfort in drawing meaningful insight from data, and of both utilizing and demonstrating cloud technologyStrong organizational skillsAbility and willingness to learn rapidly, to think globally and incisively, to trouble-shoot and find solutions through internal cross-team collaboration, and to take a broad view of all variables that could impact future success. Preferred Qualifications: Experience working with Blackbaud software and solutionsExperience working with nonprofit organizations Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

Roles and Responsibilities: Lead Agile project management for data product initiatives, ensuring timely delivery and alignment with strategic business objectives. Collaborate with stakeholders across the organization to identify business needs and translate them into clear data product requirements and user stories. Facilitate Agile ceremonies (daily stand-ups, sprint planning, retrospectives) to maintain team focus and momentum. Manage and prioritize the product backlog in coordination with product owners and data experts to maximize value delivery. Ensure data quality, governance, and compliance standards are met throughout the product lifecycle. Foster cross-functional collaboration among data engineers, data scientists, analysts, and business teams to resolve impediments and steer delivery. Develop and maintain product roadmaps that reflect evolving business priorities and data capabilities. Track project progress using Agile metrics and provide transparent communication to stakeholders. Support continuous improvement by coaching the team on Agile best practices and adapting processes as needed. Define and track the KPIs that transparently reflect the status of key initiatives Direct a team of 5 or more people comprising leads, principals, etc. and indirectly co-ordinate with more people as part of a cross functional teams comprising of varied roles and functions Required Skills and Experience: Bachelors degree or above preferably in Software Engineering Strong understanding of Agile frameworks such as Scrum or Kanban, and experience facilitating Agile teams. Should have experience of leading all Agile ceremonies Knowledge of data product management principles, including requirements definition, data quality, and governance. Excellent communication and stakeholder management skills to bridge technical and business perspectives. Strong business communication, presentation and conflict management skills Experience working with data professionals (data engineers, data scientists, data quality engineers) and understanding data pipelines. Proficiency with Agile project management tools like ADO, Jira or equivalent. Ability to manage competing priorities and adapt plans based on feedback and changing requirements. Proficient in delivery and quality metrics, burn down charts, progress and status reporting Knowledge of 2 or more effort and cost estimation methodologies/ frameworks Proficient in scope (requirements)/ backlog management, quality management, defect prevention and risks and issues management Nice to Have Qualities & Skills Flexibility to learn and apply new methodologies Mortgage Industry experience /knowledge Strong commercial acumen i.e. understanding of pricing models, delivery P&L, budgeting, etc. Basic level understanding of contracts Relevant certifications like Certified Scrum Master (CSM, PMP, Agile Project Management, etc. Knowledge of compliance frameworks like RESPA, TILA, CFPB, and data security standards. Knowledge of Azure Cloud

About the role As a Marketing Data Specialist , you will work alongside the Marketing Data Lead in managing and optimizing lead and contact creation and management processes with a focus on data quality, enrichment, standardization, and supporting ongoing data-related initiatives. What youll do Assist with data enrichment, acquisition, standardization, and segmentation efforts Aid in the management of lead and contact creation and routing workflows, ensuring data flows smoothly to and from CRM (Salesforce) and other systems using tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Ensure lead creation and conversion processes across Sales and Marketing are optimized and adhere to internal and external data health and compliance requirements Support Marketing Data Lead in implementing data governance policies and practices Oversee intake, perform related actions, and ensure positive outcomes of lead generation program s with goal to automate process where appropriate Collaborate with marketing , sales , and customer success teams to support data-driven initiatives and reporting What youll bring 5 + years of experience in data management, marketing operations, sales operations , or customer success operations Familiarity with CRM systems (e.g., Salesforce) and data management tools like LeanData , RingLead , Demandbase Data Integrity, SFDC Data Loader, Cloudingo , and more Has a high level of autonomy in day-to-day operations Strong attention to detail with an understanding of global data governance principles and best practices Ability to work independently and collaboratively with a global team Analytical mindset adept at problem finding and problem solving Able to work flexible hours as required by business priorities Stay up to date on everything Blackbaud, follow us on Linkedin, X, Instagram, Facebook and YouTube Blackbaud is proud to be an equal opportunity employer and is committed to maintaining an inclusive work environment. All qualified applicants will receive consideration for employment without regard to race, color, religion, gender, gender identity or expression, sexual orientation, national origin, physical or mental disability, age, or veteran status or any other basis protected by federal, state, or local law.

UX Data Analyst-2 Job Title: Analyst, Open Banking User Experience Job Family: Data Analytics About the Role: The Open Banking Business Intelligence (OB BI) team plays a pivotal role in shaping the future of Open Banking by delivering data-driven insights, automation, and analytics solutions. Our mission is to democratize access to data and enhance the user experience (UX) across all Open Banking products and services. As an Associate Analyst, you will work alongside seasoned analysts to analyze consumer journeys, funnel performance, and API-driven data to optimize user interactions within our Open Banking ecosystem. This role provides an excellent opportunity for those eager to build a career in data analytics, UX, and fintech. Key Responsibilities: - Support UX and funnel analytics by examining user interactions, conversion rates, and behavioral trends. - Assist in collecting and synthesizing data from multiple sources, including API data and Open Banking platforms. - Apply data visualization techniques to convey insights clearly using tools such as Tableau and Power BI. - Work closely with product managers and developers to identify opportunities for optimizing customer experiences. - Conduct data cleaning, exploration, and validation to ensure high-quality analysis. - Collaborate with cross-functional teams to standardize and automate reporting processes. - Participate in data-driven storytelling to make complex findings actionable. About You: - Bachelors degree in Computer Science, Data Analytics, Economics, Statistics, or a related field. - Strong analytical skills with an interest in user behavior and Open Banking trends. - Familiarity with SQL, Python, or R for data analysis is a plus. - Experience with data visualization tools like Tableau, Power BI, or Excel. - Understanding of fintech, payments, or banking ecosystems (preferred but not required). - Strong communication skills with a willingness to learn and collaborate. - Ability to work in a fast-paced environment and manage multiple projects effectively.