75 Visualization Tools Jobs - Page 3

Introduction: Maersk is a global leader in integrated logistics and have been industry pioneers for over a century. Through innovation and transformation we are redefining the boundaries of possibility, continuously setting new standards for efficiency, sustainability, and excellence. At Maersk, we believe in the power of diversity, collaboration, and continuous learning and we work hard to ensure that the people in our organisation reflect and understand the customers we exist to serve. With over 100,000 employees across 130 countries, we work together to shape the future of global trade and logistics. Join us as we harness cutting-edge technologies and unlock opportunities on a global scale. Together, let's sail towards a brighter, more sustainable future with Maersk. What we offer: Impact: Your work will directly contribute to the success of our global operations. Opportunity: Maersk provides ample opportunities for growth and development, both professionally and personally. Innovation: Join a forward-thinking team that embraces innovation and cutting-edge technologies. Global Exposure: Collaborate with colleagues from diverse backgrounds and gain exposure to international business practices. Work-Life Balance: We value work-life balance and offer flexible working arrangements to support our employees. Requirement: Portfolio, Program & Project Management includes roles focused on delivering organizational projects/programs. Responsibilties include: developing program/project management best practices/templates; monitoring dependencies across multiple inter-related projects; gathering and reporting consolidated project status and financial information to leadership. May serve as a central governing body to review/audit adherence to methodologies, budgets, and timing. And may provide full staffing and management for the organization's major projects/programs. Professional stream includes those who are individual contributors with main emphasis on applying technical/discipline knowledge rather than managing people to achieve results although coaching/mentoring less experienced staff, informal supervisory responsibilities, or overseeing work of other lower level professionals or manage processes and program are common. Individual work ranges from setting objectives and delivering on own work responsibilities to being a leading expert within a given field and influencing long term tactical decisions of the organization. Progression within this stream reflects increasing depth of professional knowledge, project management capability, and the ability to influence others. A colleague at this level has in-depth knowledge and experience in a functional area. The colleague routinely applies subject matter knowledge to solve common business issues operating within practices and procedures covered by precedents or well-defined policies. A colleague at this level handles most situations independently, receives minimal guidance, but will seek advice, guidance and support on more complex or non-routine topcis. The colleague understands the overall nature of the business and the interdependencies between own and other functions. Leaders at this level are accountable for performance and results in teams of less experienced professionals, frontline workers and admins, and will adapt departmental plans and priorities to address resource and operational challenges. Technical Requirement: Technically adept at SQL and Visualization tools such as PowerBI, Tableau and/or Quicksight 2-4 years of Product management experience building customer facing products Exposure to agile methodology and proven ability to work with a team of engineers. Know how around technical architecture, including metadata, Rest API Integrations, Data API Strong communication skills and ability to coordinate across a diverse group of technical and non-technical stakeholders. Ability to Collaborate with design and technical cross functional team(s) English language well written and spoken. We are happy to support your need for any adjustments during the application and hiring process. If you need special assistance or an accommodation to use our website, apply for a position, or to perform a job, please contact us by emailing accommodationrequests@maersk.com .,

You will be joining the S&C Global Network team as an Analyst focusing on AI and Web Analytics. The role is based in Gurugram, DDC1A, NonSTPI. Your main skillset should include proficiency in Web Analytics Tools. It would be beneficial if you also have the ability to utilize design thinking, optimize business processes, and manage stakeholders effectively. In this position, you will drive strategic initiatives, oversee business transformations, and use your industry expertise to develop value-driven solutions. Your responsibilities will include providing strategic advisory services, conducting market research, and formulating data-driven recommendations to enhance business performance. As a part of the Analytics practice, you will collaborate with a global network of intelligent colleagues experienced in leading AI/ML/Statistical tools for various applications such as digital marketing, web/mobile analytics, customer data platform, personalization, and GEN AI. Your role will involve working closely with Solution Architects, Data Engineers, Data Scientists, and Digital Marketers to help clients derive value from their digital assets through personalized activation. Key responsibilities will include being an expert in leading Tag Management platforms, developing visualization tools, configuring analytics tools like GA360/GA4 and Adobe Analytics, assessing clients" MarTech stack, performing technical analysis & design, translating business requirements, implementing analytics tags, managing data, conducting root cause analysis, and collaborating with various stakeholders to achieve project objectives. To excel in this role, you should possess relevant experience in the domain, strong analytical and problem-solving skills, effective communication abilities, and the capacity to thrive in a fast-paced environment. Additionally, this position offers the opportunity to work on innovative projects, career growth prospects, and exposure to leadership roles. Join us at Accenture for a challenging and rewarding career journey.,

A career within Data and Analytics services will provide you with the opportunity to help organisations uncover enterprise insights and drive business results using smarter data analytics. We focus on a collection of organisational technology capabilities, including business intelligence, data management, and data assurance that help our clients drive innovation, growth, and change within their organisations in order to keep up with the changing nature of customers and technology. We make impactful decisions by mixing mind and machine to leverage data, understand and navigate risk, and help our clients gain a competitive edge. As part of our Analytics and Insights Consumption team, you'll analyze data to drive useful insights for clients to address core business issues or to drive strategic outcomes. You'll use visualization, statistical and analytics models, AI/ML techniques, Modelops, and other techniques to develop these insights. Candidates with 16+ years of hands-on experience are required for this position. **Required Skills:** - 15 years of relevant experience in pharma & life sciences analytics, with knowledge of industry trends, regulations, and challenges. - Proven track record of working within the pharma and life sciences domain, addressing industry-specific issues and leveraging domain knowledge to drive results. - Knowledge of drug development processes, clinical trials, regulatory compliance, market access strategies, and commercial operations. - Strong knowledge of healthcare industry trends, regulations, and challenges. - Proficiency in data analysis and statistical modeling techniques. - Good knowledge of statistics, Data analysis hypothesis testing, and preparation for machine learning use cases. - Expertise in GenAI, AI/ML, and data engineering. - Experience in machine learning frameworks and tools (For e.g. scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib). - Familiarity with programming in SQL and Python/Pyspark to guide teams. - Familiarity with visualization tools for e.g.: Tableau, PowerBI, AWS QuickSight etc. - Excellent problem-solving and critical-thinking abilities. - Strong communication and presentation skills, with the ability to effectively convey complex concepts to both technical and non-technical stakeholders. - Leadership skills, with the ability to manage and mentor a team. - Project management skills, with the ability to prioritize tasks and meet deadlines. **Responsibilities:** - Lead and manage the pharma life sciences analytics team, providing guidance, mentorship, and support to team members. - Collaborate with cross-functional teams to identify business challenges and develop data-driven solutions tailored to the pharma and life sciences sector. - Leverage in-depth domain knowledge across the pharma life sciences value chain, including R&D, drug manufacturing, commercial, pricing, product planning, product launch, market access, and revenue management. - Utilize data science, GenAI, AI/ML, and data engineering tools to extract, transform, and analyze data, generating insights and actionable recommendations. - Develop and implement statistical models and predictive analytics to support decision-making and improve healthcare outcomes. - Stay up-to-date with industry trends, regulations, and best practices, ensuring compliance and driving innovation. - Present findings and recommendations to clients and internal stakeholders, effectively communicating complex concepts in a clear and concise manner. - Collaborate with clients to understand their business objectives and develop customized analytics solutions to meet their needs. - Manage multiple projects simultaneously, ensuring timely delivery and high-quality results. - Continuously evaluate and improve analytics processes and methodologies, driving efficiency and effectiveness. - Stay informed about emerging technologies and advancements in the pharma life sciences space, identifying opportunities for innovation and growth to provide thought leadership and subject matter expertise. **Professional And Educational Background:** BE / B.Tech / MCA / M.Sc / M.E / M.Tech / MBA,

As an Application Support professional, your dedication to innovation is essential to what keeps our company moving and thriving. In this role, youll oversee application issues, including troubleshooting, maintaining, identifying, escalating and resolving. Youll ensure that the production changes your team makes are made keeping best practices, lifecycle methodology and overall risk top of mind. Partnering with Infrastructure Service Support team members, youll dig into root cause analysis, production changes, budgetary, and staffing issues. Youll also draw on your experience to manage and mentor people to drive strategic change, both within your team as well as in collaboration with team members across JPMorgan Chase & Co.s global network of innovators. J.P. Morgan is a place for talented people from all backgrounds and perspectives because our clients come from all backgrounds and perspectives. We encourage a culture of inclusion, where everyone's opinion counts and all employees have the freedom to deliver their absolute best. This is why we work hard and invest in attracting and developing a diverse workforce. Learn more about our Business Resource Groups in how they help our employees build successful careers and reach their greatest potential. Why join Application Support team Working in Application Support means you'll use both creative and critical thinking skills to maintain application systems that are crucial to the daily operations of the firm. Job responsibilities The role is in Production management/Application support domain and the selected candidate will be responsible for: Drive the automation/engineering projects Create Metrics and track Assist in implementation of SRE processes Develop Toolset Oversee Production management teams locally Required qualifications, capabilities, and skills Formal training or certification on software engineering concepts and 5+ years applied experience Experience in Python scripting, AWS, Visualization tools(e.g. Grafana), Datadog, SRE concepts and tooling, Team management Relevant experience in SRE/Production management Tooling Basic knowledge of application development and scripting Working knowledge in one or more general purpose programming languages, plus an interest in learning other coding languages and skills as needed Ability to work collaboratively in teams (locally and globally) and develop meaningful relationships to achieve common goals,

Preferred experience for the role : Preferred minimum 3+ years of experience in a Business Analyst role with Agile or Lean methodologies and experience in P&C insurance Preferred Educational Qualification for the role: Bachelors Degree in Computer Science, Statistics or a related field. Job Role: Experience working on successful, fast-paced and innovative projects. Aptitude to multi-task and coordinate with others to deliver commitments with quality on schedule. Ability to conduct technical and analytical discussions with project teams and management. Advanced skill level with Microsoft Office products and experience putting together presentations that tell result-focused stories via written analysis, charts/graphs and other visuals. In-depth knowledge of software development lifecycles. Expertise in documenting software and business requirements Ability to manage and track a high volume of tickets spanning multiple projects in Jira. Proficiency with process mapping, wire-framing and visualization tools. Experience with feature testing including plan creation. Location - Pune, Chennai, Bangalore, Kolkata, Hyderabad, Mumbai, Gurgaon, Coimbatore, Noida, Mumbai Contact Person- Sangeetha Tamil Contact Number- 9941202399 Email- sangeetha@gojobs.biz

We are looking for a 'Senior Instructional Designer' for a six-month contractual role, with a strong background in designing learning experiences for IT security, coding, and other technical subjects. Interested candidate can directly apply or share their updated resumes at Tarannum.Khan@lionbridge.com Role & responsibilities: Create engaging, accessible, and outcomes-focused learning solutions related to IT security, secure coding, programming fundamentals, and related technical topics. Create course design, storyboards, visualization notes on technical topics for technical content. Partner with technical SMEs to translate complex concepts into digestible learner-friendly content. Ensure content aligns with adult learning principles, Blooms taxonomy, ADDIE/SAM/Agile instructional models, and best practices in instructional design. Implement evaluation frameworks to measure learning effectiveness. Lead and manage instructional design projects, timelines, and stakeholders while mentoring junior instructional designers when required. Preferred Candidate Profile: Education: Bachelors or Masters degree in Instructional Design, Education Technology, Adult Learning, Software Engineering or a related field. Experience: 5+ years of experience designing learning solutions for technical topics (e.g., cybersecurity, programming, software systems) Demonstrated ability to work effectively with technical SMEs and translate complex material into structured learning. Skills & Tools: Good understanding of eLearning authoring tools (e.g. Articulate 360, Adobe Captivate, Rise) to design content that aligns with platform capabilities. Familiarity with LMS platforms and SCORM/xAPI standards. Strong writing, visualization, and learner-centered design skills.

As a Research Specialist , you will be responsible for researching, verifying, and updating data for ZoomInfo's industry-leading sales intelligence platform. The right candidate for this role has an engaging personality, an eye for quality, and a drive to learn with us as we continue to improve the top-quality research processes that keep ZoomInfo ahead of our competition. What You'll Do: Data Research & Validation: Conduct thorough research on companies, corporate leadership, and industry structures using multiple online sources. Validate and update company data in compliance with ZI research standards. Quality Assurance & Compliance: Ensure the highest level of accuracy and completeness in research, maintaining a Quality Score of 95% or above and meeting Productivity targets between 95%-100%. Cross-Functional Communication: Collaborate with internal teams to address research challenges, report inconsistencies, and resolve technical or subject-matter-related issues. Outbound Research & Verification: Successfully complete at least 100 research calls on Frontspin (Telephonic Research with Outbound customers), engaging with company representatives to verify critical firmographic data. Technical & Analytical Proficiency: Utilize Office Suite, G-Suite, and other research tools to analyze and manage large datasets efficiently. What You Bring: Experience: A fresher / Max 1 year in data/content research, corporate intelligence, or a related field. Industry Knowledge: Strong understanding of corporate structures, company leadership, and experience in sourcing reliable online research sources. Technical Knowledge: Experience in using tools like LLMs, visualization tools, search engines, and adept at managing large datasets in MS Excel or Google Sheets. Telephonic Research: Experienced in verifying data through outbound business calls confidently in the past role is a plus Communication: Proven ability to communicate effectively, raise concerns, and seek resolutions on technical and subject-matter issues. Analytical Thinking: Ability to break down complex research problems, recognize data inconsistencies, and perform in-depth analysis. Adaptability & Agility: Quick to adjust to changing research priorities and capable of handling fast-paced projects. Shift time & Overlap: 1 PM IST to 10 PM IST - At times there might be a overlap in working at PST time zones as required to align with project needs.

Design, develop & integrate OAC analytics with EPM Cloud; build RPD models, dashboards, and visualizations; optimize SQL/ETL (ODI); implement security, troubleshoot issues, and support performance planning. 7+ yrs BI/OAC experience required.

Role: Business Systems Analyst III Location: Bengaluru ( Hybrid ) The Opportunity: Our client is seeking a highly skilled and motivated Snowflake FinOps Engineer to play a critical role in managing the spend of our growing Snowflake data platform. You will be responsible for ensuring the efficient and cost-effective operation of our Snowflake environment, combining deep technical expertise in Snowflake administration with a strong focus on financial accountability and resource optimization. This is an exciting opportunity to make a significant impact on our data infrastructure and contribute to a data-driven culture. Responsibleness': Snowflake Cost Optimization (FinOps): Develop and implement a comprehensive Snowflake cost optimization strategy aligned with business objectives. Continuously monitor and analyze Snowflake credit consumption and storage costs, identifying key cost drivers and trends. Proactively identify and implement opportunities for cost reduction through techniques such as virtual warehouse rightsizing, query optimization, data lifecycle management, and feature utilization. Develop and maintain dashboards and reports to track Snowflake spending, identify anomalies, and communicate cost optimization progress to stakeholders. Collaborate with engineering and analytics teams to educate them on cost-aware Snowflake practices and promote a culture of cost efficiency. Implement and manage Snowflake cost controls and alerts to prevent unexpected spending. Evaluate and recommend new Snowflake features and pricing models to optimize cost and performance. Automate cost monitoring, reporting, and optimization tasks using scripting and other tools. Work closely with finance and procurement teams on Snowflake budgeting and forecasting. Establish, document, and enforce a comprehensive tagging standard for Snowflake objects (e.g., virtual warehouses, tables, users) to improve cost tracking, resource allocation, and governance. Qualifications: Bachelor's degree in Computer Science, Information Technology, or a related field. Proven experience 5+ years in administering and managing Snowflake data warehouse environments. Strong understanding of Snowflake architecture, features, and best practices. Demonstrated experience in implementing and driving cost optimization strategies for Snowflake. Proficiency in SQL and experience with data analysis and visualization tools (e.g., Tableau, Looker, Power BI). Experience with scripting languages (e.g., Python) for automation tasks is highly desirable. Familiarity with FinOps principles and practices in a cloud environment is a significant advantage. Excellent analytical and problem-solving skills with a strong attention to detail. Strong communication and collaboration skills, with the ability to explain technical concepts to both technical and non-technical audiences. Ability to work independently and manage multiple priorities in a fast-paced environment. Snowflake certifications (e.g., SnowPro Core) are a plus.

Your specific responsibilities will include: Design and implementation of last-mile data products using the most up-to-date technologies and software / data / DevOps engineering practices Enable data science & analytics teams to drive data modeling and feature engineering activities aligned with business questions and utilizing datasets in an optimal way Develop deep domain expertise and business acumen to ensure that all specificalities and pitfalls of data sources are accounted for Build data products based on automated data models, aligned with use case requirements, and advise data scientists, analysts and visualization developers on how to use these data models Develop analytical data products for reusability, governance and compliance by design Align with organization strategy and implement semantic layer for analytics data products Support data stewards and other engineers in maintaining data catalogs, data quality measures and governance frameworks Education: B.Tech / B.S., M.Tech / M.S. or PhD in Engineering, Computer Science, Engineering, Pharmaceuticals, Healthcare, Data Science, Business, or related field Required experience: 8+ years of relevant work experience in the pharmaceutical/life sciences industry, with demonstrated hands-on experience in analyzing, modeling and extracting insights from commercial/marketing analytics datasets (specifically, real-world datasets) High proficiency in SQL, Python and AWS Experience creating / adopting data models to meet requirements from Marketing, Data Science, Visualization stakeholders Experience with including feature engineering Experience with cloud-based (AWS / GCP / Azure) data management platforms and typical storage/compute services (Databricks, Snowflake, Redshift, etc) Experience with modern data stack tools such as Matillion, Starburst, ThoughtSpot and low-code tools (eg Dataiku) Excellent interpersonal and communication skills, with the ability to quickly establish productive working relationships with a variety of stakeholders Experience in analytics use cases of pharmaceutical products and vaccines Experience in market analytics and related use cases Preferred experience: Experience in analytics use cases focused on informing marketing strategies and commercial execution of pharmaceutical products and vaccines Experience with Agile ways of working, leading or working as part of scrum teams Certifications in AWS and/or modern data technologies Knowledge of the commercial/marketing analytics data landscape and key data sources/vendors Experience in building data models for data science andvisualization/reportingproducts, in collaboration with data scientists, report developers and business stakeholders Experience with data visualization technologies (e.g, PowerBI) Required Skills: Business Intelligence (BI), Data Management, Data Modeling, Data Visualization, Measurement Analysis, Stakeholder Relationship Management, Waterfall Model

Data Analyst with strong stakeholder management, communication skills, requirement gathering, Python, Pyspark, SQL, Data Reporting, Visualization, Power BI & Tableau and should have worked on data analysis and hands on coding in python and Pyspark. Data Engineer profiles will not work here.

What you will be doing Design and development of real time software and Cloud/Web/mobile based software application. Analyze domain specific technical, high level or low level requirement and modification as per end customer or system requirement. Perform software testing including unit, functional and system level requirement including manual and automated Perform code review following coding guidelines and static code analysis troubleshoots software problems of limited difficulty. Document technical deliverable like software specifications, design document, code commenting, test cases and test report, Release note etc. throughout the project life cycle. Develop software solutions from established programming languages or by learning new language required for specific project. What Are We Looking For : Experience: 4 to 8 years in software/data engineering. Data Technologies: Proficiency in SQL, NoSQL databases (e.g., DynamoDB, MongoDB), ETL tools, and data warehousing solutions. Programming Languages: Proficiency in Python is a must. Cloud Platforms: Azure, AWS (e.g., EC2, S3, RDS) or GCP. Visualization Tools: Experience with data visualization tools (e.g., Tableau, Power BI, Looker). Data Governance: Knowledge of data governance and security practices. CI/CD: Experience with DevOps practices, including CI/CD pipelines and containerization (Docker, Kubernetes). Communication Skills: Excellent verbal and written communication skills in English. Agile Methodologies: Experience working in Agile development environments. AI/ML Awareness: Understanding of AI and ML concepts, frameworks (e.g., TensorFlow, PyTorch), and practical applications.0 Generative AI Awareness: Familiarity with Generative AI technologies and their potential use cases.

Stakeholder Management, working with large datasets and creation of data-driven executive materials, reporting metrics, KPIs, OKRs, delivering presentation content to business and technology stakeholders, IT infrastructure & public cloud concept

Dynamic Yield, a Mastercard company, provides value-added services by leveraging expertise, data-driven insights, and precise execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets and proprietary technologies to deliver powerful strategic insights and recommendations to a diverse global customer base spanning banking, payments, retail, and restaurants. We are seeking a Director Marketing Services - Advisors & Consulting Services to lead the development and implementation of marketing strategies and campaigns for our clients. In this role, you will leverage customer data to provide deep direct marketing expertise across various channels, continuously evaluating campaign results to optimize marketing performance and drive significant client impact. Roles and Responsibilities As a Senior Managing Consultant, Marketing Services, you will: Client Impact: Lead complex client engagements across a range of industries and problem statements. Build and lead the development of comprehensive marketing strategies and campaigns for regional and global clients by integrating technology and data. Own senior client relationships, ranging from mid-level to C-suite executives, serving as a trusted business advisor. Generate enthusiasm for the Mastercard team and our recommendations, ensuring client buy-in and success. Team Collaboration & Culture: Guide the project delivery team through complex problem-solving to arrive at business-focused solutions and recommendations that drive client value. Motivate the team to produce superior quality deliverables, fostering a collaborative and inclusive environment for all levels. Own relationships with internal Mastercard stakeholders, including Product and Business Development, to scope projects, create relevant solutions for clients, and build the firm's intellectual capital. Provide invaluable marketplace perspectives and insights to both clients and internal teams. Lead on-the-job training, coaching, and mentorship for direct reports and other team members. Understand various marketing specializations and the interrelationships between these areas to ensure holistic solutions. Qualifications Basic Qualifications: Education: Undergraduate degree with relevant work experience. Marketing & Campaign Expertise: Work experience in marketing and campaign projects focused on one or more of the following fields: marketing content, digital and social media campaigns, digital customer experience, digital marketing, end-to-end product launch, ad-tech and mar-tech ecosystems, offline marketing activities/campaigns, media management and planning, or direct response marketing. Leadership & Client Management: Experience coaching and leading teams across large, strategic engagements with third parties. Experience leading vendor and senior client relationships. Business Acumen: Deep knowledge of business KPIs, financials, and organizational leadership. Business Development: Ability to identify new business development opportunities and adjacencies, and experience leading proposal development and scoping of new opportunities. Thought Leadership: Experience generating new knowledge or creating innovative solutions, with the ability to provide industry perspectives and thought leadership. Project Management: Ability to lead multiple projects and clients in a fast-paced, deadline-driven environment. Software Proficiency: Advanced Word, Excel, and PowerPoint skills. Communication: Ability to communicate effectively in English and the local office language (if applicable). Eligibility: Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs. Preferred Qualifications: Additional Marketing Experience: Further marketing experience in one or more of the following: marketing and campaign experience from an agency environment, search engine optimization and search engine marketing, video making (e.g., scripting, storyboard, and content), marketing content, usability labs and experience research, or print production management. Global Supply Chain: Experience in Global Supply Chain Management (GSM), including sourcing new suppliers and assessing third-party production vendors. Data Visualization: Experience with data visualization tools ( e.g., Tableau, Power BI ). Implementation & Impact Measurement: Experience leading the delivery and implementation of complex solutions and measuring their impact on clients businesses. Industry & Tech Expertise: Relevant industry expertise and/or experience in product, sales, or marketing technology. Advanced Degree: MBA or Master's degree with a specialization in marketing or digital (not required, but a plus).

Dynamic Yield, a Mastercard company, provides value-added services by leveraging expertise, data-driven insights, and precise execution. Our Advisors & Consulting Services team combines traditional management consulting with Mastercard's rich data assets and proprietary technologies to deliver powerful strategic insights and recommendations to a diverse global customer base spanning banking, payments, retail, and restaurants. We are seeking a Senior Managing Consultant, Marketing Services to lead the development and implementation of marketing strategies and campaigns for our clients. In this role, you will leverage customer data to provide deep direct marketing expertise across various channels, continuously evaluating campaign results to optimize marketing performance and drive significant client impact. Roles and Responsibilities As a Senior Managing Consultant, Marketing Services, you will: Client Impact: Lead complex client engagements across a range of industries and problem statements. Build and lead the development of comprehensive marketing strategies and campaigns for regional and global clients by integrating technology and data. Own senior client relationships, ranging from mid-level to C-suite executives, serving as a trusted business advisor. Generate enthusiasm for the Mastercard team and our recommendations, ensuring client buy-in and success. Team Collaboration & Culture: Guide the project delivery team through complex problem-solving to arrive at business-focused solutions and recommendations that drive client value. Motivate the team to produce superior quality deliverables, fostering a collaborative and inclusive environment for all levels. Own relationships with internal Mastercard stakeholders, including Product and Business Development, to scope projects, create relevant solutions for clients, and build the firm's intellectual capital. Provide invaluable marketplace perspectives and insights to both clients and internal teams. Lead on-the-job training, coaching, and mentorship for direct reports and other team members. Understand various marketing specializations and the interrelationships between these areas to ensure holistic solutions. Qualifications Basic Qualifications: Education: Undergraduate degree with relevant work experience. Marketing & Campaign Expertise: Work experience in marketing and campaign projects focused on one or more of the following fields: marketing content, digital and social media campaigns, digital customer experience, digital marketing, end-to-end product launch, ad-tech and mar-tech ecosystems, offline marketing activities/campaigns, media management and planning, or direct response marketing. Leadership & Client Management: Experience coaching and leading teams across large, strategic engagements with third parties. Experience leading vendor and senior client relationships. Business Acumen: Deep knowledge of business KPIs, financials, and organizational leadership. Business Development: Ability to identify new business development opportunities and adjacencies, and experience leading proposal development and scoping of new opportunities. Thought Leadership: Experience generating new knowledge or creating innovative solutions, with the ability to provide industry perspectives and thought leadership. Project Management: Ability to lead multiple projects and clients in a fast-paced, deadline-driven environment. Software Proficiency: Advanced Word, Excel, and PowerPoint skills. Communication: Ability to communicate effectively in English and the local office language (if applicable). Eligibility: Eligibility to work in the country where you are applying, as well as apply for travel visas as required by travel needs. Preferred Qualifications: Additional Marketing Experience: Further marketing experience in one or more of the following: marketing and campaign experience from an agency environment, search engine optimization and search engine marketing, video making (e.g., scripting, storyboard, and content), marketing content, usability labs and experience research, or print production management. Global Supply Chain: Experience in Global Supply Chain Management (GSM), including sourcing new suppliers and assessing third-party production vendors. Data Visualization: Experience with data visualization tools ( e.g., Tableau, Power BI ). Implementation & Impact Measurement: Experience leading the delivery and implementation of complex solutions and measuring their impact on clients businesses. Industry & Tech Expertise: Relevant industry expertise and/or experience in product, sales, or marketing technology. Advanced Degree: MBA or Master's degree with a specialization in marketing or digital (not required, but a plus).

Role & responsibilities Data Analysis and Reporting Collect, analyze, and interpret data from multiple sources to provide actionable insights. Develop and maintain dashboards, reports, and visualization tools to support decision-making. Ensure data accuracy, consistency, and integrity across systems. System Development and Maintenance Analyze business requirements and recommend enhancements to existing MIS platforms. Collaborate with IT teams to develop and implement system upgrades or new solutions. Test, debug, and optimize MIS applications to improve performance. User Support and Training Assist end-users in utilizing MIS tools and troubleshooting technical issues. Provide training sessions and documentation to ensure efficient system use. Act as a liaison between technical teams and business units to address system needs. Process Improvement Identify inefficiencies in workflows and recommend process automation where applicable. Collaborate with departments to streamline data collection and reporting. Conduct regular reviews of system performance and suggest enhancements. Compliance and Security Ensure systems comply with internal policies and external regulations. Maintain security protocols to protect sensitive data. Support disaster recovery plans and system backups. Project Coordination Contribute to the planning and execution of MIS-related projects. Coordinate with cross-functional teams to ensure timely delivery of solutions. Monitor project milestones and report on progress. Preferred candidate profile : Working relationship with operations Communication: Proficient in English, Hindi Proficiency in database management systems. Knowledge of reporting and visualization tools. Experience with MSOffice, Advance Excel, Excel Macros, Ms Excess, Power BI Basic programming skills

Required Skills: Proficient in Power BI Desktop and Power BI Service Strong knowledge of DAX and Power Query (M Language) Hands-on experience in SQL and data warehousing concepts Ability to create and optimize data models Experience in integrating Power BI with Excel, SharePoint, SQL Server, or APIs Good to Have: Experience with Power Automate and Power Apps Knowledge of Azure Synapse , Data Factory , or other Azure services Experience with Row-Level Security (RLS) and report sharing best practices Understanding of Agile/Scrum methodology

Role & responsibilities Years of exp - 8-15 Years Location Bangalore and Hyderabad Shifts – 5 days working from office working timing is 5:30 pm to 2:30 AM Proven experience in Windows Server administration Hands-on experience with Exchange Online, Microsoft Teams, SharePoint, and OneDrive for Business. Experience with Azure AD, PowerShell scripting, and Microsoft 365 security and compliance tools. Awareness of Conditional Access Policies Strong knowledge of Exchange Server 2013/2016/2019, Exchange Online, Active Directory, and PowerShell scripting. Strong knowledge of Microsoft 365 Admin Center, Azure AD, Exchange Admin Center, and SharePoint Online. Experience configuring and managing security policies, including MFA, conditional access, and data governance tools. Familiarity with managed configurations (ABM, Configuration Policy) Experience supporting Single Sign-On using Active Directory Federation Services with Multi Factor Authentication. Experience with supporting anti-spam filtering, logging and email tracking and transport rules. Strong analytical and troubleshooting skills. Good communication and documentation skills Roles & Responsibilities Act as a Subject Matter Expert in the below areas Windows Server Administration Install, configure, and maintain Windows Server environments (2012, 2016, 2019, or 2022). Manage Active Directory, DNS, DHCP, Group Policy, and file/print services. Perform routine server maintenance, updates, and patch management. Monitor system performance and troubleshoot server-related issues. Exchange Management: Administering and configuring Exchange Online, including mail flow, mailboxes, distribution, and dynamic groups. Perform life cycle events such as creation, modification, movement, upgrade/downgrade, deletion, or transfer of data. Develop scripts for automating processes within the environment. Perform migrations and deployments related to the building, upgrade, and maintenance of MS Exchange. User Management: Creating and managing user accounts, mailboxes, and permissions. Manage user provisioning, access control, and security group configurations. Create and manage security and distribution groups in Active Directory. Managing data loss prevention (DLP) and ensuring compliance with organizational and regulatory standards. Troubleshoot and resolve technical issues related to Exchange Online Mandatory Skills Windows Server, Exchange Online, communication skills, Exchange Administration, active directory, troubleshooting, power shel. Preferred candidate profile

Job Description: BMS Operations Assistant Manager (Work Dynamic) What this job involves: BMS Operations Asst. Manager would be involved with real time monitoring of BMS operations at the site and would take first level actions to address any alarms/disruptions noticed in the BMS. He is expected to have a good technical knowledge of working of BMS at respective site and should be able to undertake the impact assessment of any alarms on any of the process system connected to the BMS of respective building. What your day-to-day will look like: Monitor, Troubleshoot and resolve issues with BMS. Ensure real time monitoring of Hot / Cold Prism Tickets & resolve on priority. Track Priority-1 (Urgent) alarms and escalate immediately if these are not getting resolved. Optimize building performance and energy efficiency through BMS tuning Develop and maintain system documentation and operational procedures. Monitor BMS OEM PPM schedule & ensure diligent execution. Monitor SLAs & inform BMS Ops Manager in the event of breach. Preparation of Daily / Weekly & Monthly reports comprising of Uptime / Consumption with break up / Temperature trends / Alarms & equipment MTBF Coordination with BMS OEM for ongoing operational issues (Graphics modification/ sensor calibration / controller configuration / Hardware replacement) Supporting annual power down by gracefully shutting down the system & bringing up post completion of the activity. Ensure healthiness of FLS (Panels / Smoke Detectors) & conduct periodic check for drift levels. Check LL BMS critical parameters & communicate with LL in case parameters go beyond operating threshold Desired or preferred experience and technical skills: Experience with data analytics and visualization tools Knowledge of IoT and smart building technologies Strong knowledge of building systems and maintenance practices. Excellent communication and interpersonal skills. Proficiency in Microsoft Office Suite and facility management software. Ability to prioritize tasks and manage multiple projects simultaneously. Willingness to embrace a culture of collaboration and support team members. Experience with sustainability initiatives and green building practices. Required Qualification and Experience: Tertiary qualifications in BE/B Tech in Electrical Engineering with 5 + years of experience or Diploma in Electrical with 7 years of experience. Contract Administration experience of 3 yrs or more required. Knowledge of Occupational Safety requirements. Demonstrated experience with client reporting and preparation of reports required. Works in 6 days per week with rotational shift basis

Translate Business Problems: Translate a business problem into a computer and statistical problem Data Management: Identify, evaluate, recover, and prepare the data Evaluate and guarantee the quality and relevance of the models used End-to-End Analysis: Conduct end-to-end analysis, communicating findings and developing recommendations for actions, optimization, and value creation Implement Computer Tools: Implement computer tools, techniques, and statistical methods to efficiently organize, synthesize, and translate data Extract customer knowledge or domains for business value creation Report Formatting: Develop clear, concise, and impactful reports to communicate results to stakeholders Industrialization of Deliverables: Propose and industrialize the development of recurrent deliverables, ensuring efficiency and repeatability in analyses Interdisciplinary Collaboration: Collaborate with various s to understand their data needs and propose tailored solutions Development of KPIs: Design and monitor key performance indicators to assess the effectiveness of strategic initiatives Continuous Improvement: Identify and propose improvements to data collection and analysis processes to optimize overall performance Integration of Value: Integrate the value generated into our processes and the evolution of the information systems domain Optimize Data Use: Optimize the use of data in compliance with the legal and regulatory context Data Evolution: Manage evolutions on data deposits and data enrichment for new levers of value creation Coordination of Exchanges: Facilitate discussions between operational managers and tool managers to ensure smooth implementation of tools Management of Tooling Projects: Oversee the generalization and industrialization of tooling projects, ensuring alignment with operational needs Required Skills: Data Analysis Expertise: Proficiency in analysis tools (Excel, SQL, Python, R) Visualization Skills: Experience with visualization tools (Tableau, Power BI, Elastic ELK) Critical Analysis: Ability to interpret complex data and formulate relevant conclusions Effective Communication: Excellent written and oral communication skills, capable of conveying technical information to diverse audiences Proactive Problem Solving: Ability to identify issues and develop data-driven solutions Understanding of ITIL Processes: Strong knowledge of ITIL processes and the ability to apply them effectively Interpersonal Skills: Excellent ability to interact with users and stakeholders Project Management: Proven experience in managing projects related to operational tooling User-Oriented Approach: Ability to listen and incorporate user feedback to improve tools Qualifications: Degree in statistics, computer science, or a related field 2 to 5 years of experience as a Data Analyst or in a similar role Experience in the telecommunications and IT sector is a plus Global Delivery Operations

Role & responsibilities Collaborate with the Engagement Manager, Account Delivery Manager, and client stakeholders to gather business requirements for the project. Develop a comprehensive project plan that aligns with the scope and objectives of the project. Develop appropriate solution design that will help client achieve their goals. Assign delivery team members to different activities suited to their individual skills. Lead the execution of project activities according to the project plan. Monitor the project, track milestones, and adhere to agreed-upon timelines and scope. Accountable for the delivery quality of the project in question. Comply with all the critical dimensions of the delivery scorecard, report as-is facts on those dimensions, and develop and execute action plans to improve delivery scores. Lead internal scrum meetings and stand-ups with the clients and Weekly Business Reviews with the clients. Ensure compliance with best practices and established processes for quality assurancefor example, using quality assurance checklists, coding best practices, peer reviews, and documentation. Provide both business and technical guidance to the delivery team. Coach individuals in the team and build a high-performance workplace. Establish an environment of mutual trust and respect and encourage the team to experiment with new delivery ideas. Review the team's deliverables before sharing them with clients, including codes, presentations, worksheets, emails, etc. Preferred candidate profile Advanced knowledge of probability and statistics Advanced knowledge of Practical Machine Learning and awareness of the key pitfalls in machine learning and approaches to addressing them Intermediate knowledge levels in SQL and Python Intermediate knowledge of project management methodologies and tools Intermediate knowledge of MS Office applications: MS Excel, MS PowerPoint, and MS Word

Job Description :Senior Manager-AI in Education & Digital Learning Position: Senior Manager Level: Sr Manager Reporting To: Deputy Project Head/Project Head' Reportees: Manager/s, SAM Role & responsibilities: Overall Role: The Senior Manager AI in Education & Digital Learning will be responsible for leading KEFs strategic initiatives at the intersection of education and artificial intelligence. This includes the end-to-end design and implementation of the AI in Education Fellowship, as well as spearheading teacher and internal staff capacity-building through innovative, AI-integrated training programs. In addition to shaping the broader digital learning strategy, the role will ensure that AI-driven pedagogical approaches and content are aligned with national priorities and global education frameworks. The Senior Manager will work closely with internal teams, EdTech specialists, government stakeholders, and external partners to build future-ready, tech-enabled school ecosystems, with a strong focus on inclusive and responsible use of AI in education. Key Responsibilities Areas: - Design and lead the AI in Education Fellowship program for teachers, including the development of training content, delivery strategy, assessment tools, and certification framework. -Develop and implement AI-integrated teacher training modules that promote critical thinking, problem-solving, and responsible AI usage in classrooms. -Stay updated with national and international developments in AI in Education, including frameworks like UNESCO's AI competencies for teachers, and embed relevant practices in KEF programs. -Collaborate with AI and EdTech partners, universities, and research institutions to build a robust ecosystem that supports AI-driven learning in urban, vernacular medium schools. -Monitor and evaluate the impact of AI interventions in teaching-learning processes and iterate based on feedback and data. -Support the development of scalable AI-based digital tools to enhance instructional planning, personalized learning, and formative assessments in classrooms. -Mentor internal teams and partner educators in understanding and applying AI in pedagogically sound and ethical ways. Planning, Monitoring and communication of the Project execution -Develop annual learning and growth plans for teachers, students, and schools, incorporating AI-enabled teaching strategies and digital tools. -Leverage AI-based analytics platforms and dashboards to track training delivery, teacher engagement, and student learning outcomes in real time. -Use predictive insights from data tools to anticipate challenges, personalize interventions, and adjust strategies to improve implementation quality. - Work closely with the MIS and M&E teams to ensure AI-driven monitoring systems are effectively capturing key data points for both process and outcome tracking. -Create reports and presentations that communicate project progress and impact, using visualization tools powered by AI (e.g., dashboards, trend mapping). -Ensure consistent communication with internal and external stakeholders to share insights, success stories, and learnings from AI-enabled interventions. External Collaborations - Identify and collaborate with leading AI and EdTech organizations, academic institutions, research bodies, and foundations working on the intersection of AI and education. -Forge strategic partnerships with organizations developing AI tools for adaptive learning, teacher support systems, and classroom data analytics. - Explore collaborations with global and national initiatives (e.g., UNESCO, NITI Aayog, IITs, or AI for Education initiatives) to align with emerging best practices and frameworks. -Partner with content providers and certification bodies to co-develop AI-integrated teacher training programs and micro-credentialing modules. -Leverage external technical expertise to ensure ethical and inclusive use of AI in education, especially for vernacular, under-resourced school contexts. -Represent KEF at forums, panels, and collaborative platforms focused on AI in education, EdTech innovation, and digital equity. Financial management -Prepare and manage project budgets, ensuring alignment with AI-related program goals. -Monitor fund utilization and ensure compliance with organizational and donor guidelines. -Optimize resource allocation for AI tools, training, and implementation activities. Candidate specifications: Educational Qualification: Master's in Education/ MSc.IT /Education Technology/B.Tech. MBA with specialization in CSR/ Education TechnologyCertification or Education in AI Years of experience 10+ years in designing, executing, and leading school education-based projects Minimum 5 years in EdTech projects with experience in CSR/EdTech in education organizations, teacher training, school LMS, and digital learning solutions Work skills: Excellent interpersonal skills and stakeholder management -Strong command of quantitative and qualitative data analysis, report writing, and presentations -Project design and planning, team leadership, and time management -Familiarity with EdTech and AI tools relevant to education Other skills: - Learning orientation and creative problem-solving -Strong integrity and self-motivation - Organized, analytical, and results-drivenincts to develop new approaches and solutions Attributes Analytical: breaks down problems and applies a systematic approach Organized: demonstrates concern for accuracy and detail Self-motivated: displays interest and persistence in doing the tasks at hand Integrity: achieves a high level of trust in relationships Job Specifications: Nature of job: On payroll Location : HO, Mumbai (Chembur/Govandi) Hours of work: 8 hours 6 days a week (alternate Saturdays are weekly offs) Working conditions The job can involve working conditions that include 8 hour shifts between 8 am to 7 pm. There are two week offs in a month apart from casual and privilege leaves. This job will also involve working in challenging community areas with infrastructural and other disadvantages and travelling across the project locations across India. Disclaimer The above statements are intended to describe the general nature and level of work performed by employees assigned to this position. It is not designed to contain or be interpreted as a comprehensive list of all duties, responsibilities, and qualifications. Kotak Education Foundation reserves the right to amend and change responsibilities to meet intervention and organizational needs as necessary. Interested can share their resume- tanuja.chavan@kotakeducationfoundation.org with below details Full Name, Contact no, E-mail adress, Location,Current organization,Designation,Overall Exp,Current CTC,Expected CTC, Notice Period,Resume

About the Role: We are looking for a passionate and detail-oriented Interior Designer/Rendering Specialist to join our creative team. The ideal candidate is skilled in producing high-quality, photorealistic renders with a deep understanding of interior design aesthetics, render angles, lighting, and furniture staging . You will collaborate with designers and architects to visualize concepts and bring interior spaces to life through compelling visuals that communicate design intent effectively. Key Responsibilities: Create photorealistic 3D renderings of interior design concepts using 3ds Max. Understand and implement design briefs with attention to composition, lighting, camera angles , and overall visual storytelling. Stage and style interior scenes with appropriate furniture, dcor, and textures to enhance visual appeal. Collaborate with the design and marketing teams to ensure visual output aligns with brand and project goals. Manage and maintain 3D assets, material libraries, and project files. Perform post-production edits using tools like Photoshop to enhance final render quality. Required Skills & Qualifications: 1-2 years of experience in architectural visualization, interior rendering, or a similar field. Proficiency in 3ds Max is a must. Knowledge of Corona Renderer or V-Ray is highly preferred. Familiarity with tools such as SketchUp , or similar design software. Proficiency in Photoshop for post-production fixes. Strong eye for detail, lighting, texture, and color . Ability to work under tight deadlines and handle multiple projects simultaneously. A strong portfolio showcasing interior renderings is required.

eG Innovations is a global leader in IT performance monitoring and observability solutions, delivering AI-driven analytics to enterprises and service providers across 50+ countries. Our platform integrates cutting-edge monitoring tools, machine learning-powered insights, and predictive analytics to optimize digital application and infrastructure performance. Job Summary: We are looking for a Senior Technical Product Architect who has interest in shaping the product roadmap and evolution of an innovative observability product through enhanced dashboards, UI methodologies, and predictive analytics. The ideal candidate will have expertise in IT monitoring technologies and interest in using AI-driven analysis to deliver outcomes for clients. This role requires a deep understanding of observability tools, hands-on experience with operation using these tools and delivering results to clients. The ideal candidate will drive product strategy and innovation in new areas. Key Responsibilities: Product Strategy & AI Integration: Define the roadmap for AI-powered monitoring and observability enhancements. Monitoring Tool Expertise: Be an expert on observability platforms such as Dynatrace, DataDog, other virtualization and cloud environments. Dashboard & UI Innovation: Conceive and design new interactive dashboards, reporting features, and visualization tools for performance monitoring. Data-Driven Insights: Apply analytics, data science, and predictive modeling techniques to enhance monitoring capabilities. Competitive Market Analysis: Evaluate industry trends, product gaps, and advancements to ensure best-in-class solutions. Cross-Team Collaboration: Partner with engineering, AI specialists, and design teams to align customer needs with product improvements. Required Skills & Qualifications: Technical Expertise: Strong knowledge of cloud-based monitoring, virtualization, microservices, and IT observability is a must. Monitoring & Analytics: Hands-on experience with IT performance monitoring tools like eG Enterprise, Dynatrace, Splunk, or New Relic is a must. UI & Visualization: Proficiency in interactive dashboards, heatmaps, and visualization frameworks is preferred. Customer-Facing Experience: Ability to make compelling presentations to different internal and external stakeholders as required. Product Leadership: Experience defining monitoring metrics, methodologies, and dashboard optimizations is a plus. Communication & Collaboration: Must have strong verbal and written skills to engage with customers and internal teams. Education: Bachelor's or Master's degree in Computer Science, AI, Data Science, HCI, or related fields. Preferred Qualifications: Exposure to AI-powered automation and predictive anomaly detection. Experience designing intuitive monitoring dashboards and report structures Familiarity with hybrid cloud and multi-platform observability solutions.

We are looking for an Associate Data Scientist to analyze and interpret complex datasets, applying advanced statistical and machine learning techniques to extract valuable insights and drive data-driven decision-making. You will work closely with cross-functional teams to identify business challenges and develop innovative solutions that optimize our products and services. In this role, you should be highly analytical with a knack for analysis, math and statistics. Critical thinking and problem-solving skills are essential for interpreting data. We also want to see a passion for machine-learning and research. Key Responsibilities: Utilize advanced analytics techniques to analyze large and complex datasets, identifying patterns, trends, and correlations to uncover valuable insights. Develop and implement machine learning models and algorithms for predictive and prescriptive analytics. Clean, pre-process, and validate data to ensure accuracy, completeness, and consistency for analysis purposes. Apply knowledge of Large Language Models (LLMs) to enhance text analysis and generation tasks. Explore and evaluate state-of-the-art LLMs, adapt them to specific tasks, and fine-tune models as necessary to improve performance. Build and deploy scalable text analysis pipelines to process and analyze text data efficiently . Communicate complex findings and insights to both technical and non-technical stakeholders through effective data visualization and storytelling techniques. Propose solutions and strategies to business challenges . Collaborate with engineering and product development teams . The ideal candidate: Minimum 6 months of experience as a Data Scientist Experience in data analysis, and modeling. Solid understanding of statistical concepts and machine learning algorithms, with hands-on experience in applying them to real-world problems. Strong programming skills in languages such as Python or R Experience with machine learning frameworks and libraries such as scikit-learn, TensorFlow, or PyTorch Knowledge and hands-on experience with Large Language Models (LLMs), such as GPT-3 and BERT Familiarity with data visualization tools such as Tableau, Power BI, or Matplotlib to effectively communicate insights. B.E/B.Tech in Computer Science, Engineering or relevant field; OR graduate degree in Data Science or other quantitative field is preferred . Abilities and traits Analytical mind and business acumen Strong math skills (e.g. statistics, algebra) Problem-solving aptitude Excellent communication and presentation skills . What we offer: Competitive salary and benefits package. Opportunity to work with cutting-edge technologies. Flexible working hours and remote work options. Continuous learning and professional development opportunities. A collaborative and supportive work environment.