20277 Visualization Jobs - Page 31

About Marriott: Marriott Tech Accelerator is part of Marriott International, a global leader in hospitality. Marriott International, Inc. is a leading American multinational company that operates a vast array of lodging brands, including hotels and residential properties. It consists of over 30 well-known brands and nearly 8,900 properties situated in 141 countries and territories. Role Title: Security Data Scientist Position Summary: Marriott International’s Global Information Security is seeking an experienced Security Data Scientist who can combine expertise in cybersecurity with data science skills to analyze and protect Marriott’s digital assets. Job Responsibilities: Perform data cleaning, analysis, and modeling tasks Work under guidance of senior team members to: Analyze large datasets related to cybersecurity threats and incidents implement existing machine learning models and algorithms to detect anomalies and potential security breaches Support SDL tools (e.g., big data, ML/AI technologies) Create data visualizations and reports to communicate insights to stakeholders Collaborate with cybersecurity teams to implement data-driven security solutions Stay up to date with the latest cyber threats and data science techniques Help to maintain and document SDL MLOps processes and procedures. Skill and Experience: 2-4 years of data science, data analytics, data management, and/or information security experience that includes: 2+ years of experience in data science/data analytics in an enterprise environment 1+ years of experience in information protection / information security. Strong background in statistics, mathematics, and software engineering (e.g., Proficiency in Python, R) Experience with machine learning algorithms and frameworks as well as AI techniques Knowledge of cybersecurity principles, tools, and best practices Familiarity with cloud platforms (AWS, Azure, GCP) and big data technologies Understanding of data visualization tools like Power BI Preferred: Programming languages: Python, R, SQL Machine learning frameworks: TensorFlow, PyTorch, scikit-learn Big data technologies: Hadoop, Spark, and Kafka Cloud platforms: AWS, Azure, GCP Data visualization tools: Tableau, Power BI Relevant certifications such as data science certifications, CISSP, CEH. Verbal and written communication skills Education and Certifications: Bachelor’s degree in computer / data science, information management, Cybersecurity or related field or equivalent experience / certification Work location: Hyderabad, India. Work mode: Hybrid

This role is for one of the Weekday's clients Salary range: Rs 400000 - Rs 600000 (ie INR 4-6 LPA) Min Experience: 3 years Location: Remote (India) JobType: full-time We are looking for an experienced and technically proficient professional to join as a Technical Manager focused on CPaaS (Communications Platform as a Service). The ideal candidate will have a solid background in the telecom or messaging industry, with hands-on experience in databases, APIs, and server operations. This role demands both technical expertise and the ability to manage shifting priorities across multiple projects. Requirements Key Skills & Experience Required: Industry Experience: 3 to 6 years in a technical role within the CPaaS, telecom, or messaging domain. Database Proficiency: Strong knowledge of SQL with the ability to write and optimize complex queries (SELECT, INSERT, UPDATE, DELETE). Linux Expertise: Comfortable navigating and operating in Linux/command-line environments. API Integration: Hands-on experience working with REST APIs, including usage of tools such as Postman or Insomnia. Server Management: Proficient in using SSH to access and operate on remote servers securely. Database Tools: Familiarity with tools like DBeaver, MySQL Workbench, and pgAdmin for database management and visualization. System Architecture Understanding: Sound understanding of how frontend, backend, and databases interact in modern web applications. Project Management: Ability to effectively manage multiple concurrent projects and adapt to changing priorities. Communication & Problem Solving: Excellent analytical thinking and communication skills, with a proactive approach to troubleshooting and issue resolution

Woxsen University is seeking to appoint an eminent academic leader as a Professor of Business Analytics. In an era defined by data, this role is critical to the university's mission of preparing future leaders to excel in a digital-first world. We are looking for a visionary scholar who will champion the university's intellectual agenda in Business Analytics, Data Science, and AI. The successful candidate will lead pioneering research, deliver a state-of-the-art curriculum, and build strong ties with the technology and analytics industry. This is a premier opportunity to shape the future of business education and research in one of India’s most dynamic universities. 3. Key Responsibilities The role is structured around the three pillars of academic contribution: Research, Teaching, and Institutional Leadership. A. Research and Scholarship: Lead and conduct world-class, impactful research in key areas of Business Analytics, such as Machine Learning applications in business, AI Strategy, Predictive Modeling, Big Data Analytics, Data Visualization, or Prescriptive Analytics. Consistently publish in top-tier, peer-reviewed international journals (e.g., FT50, ABDC A*/A, leading Information Systems/Data Science journals). Secure significant external research funding from government bodies, international agencies, and corporate partners to establish a Centre of Excellence in Analytics. Disseminate research findings at premier international conferences, contributing to Woxsen’s global academic visibility. Foster a collaborative, interdisciplinary research environment, particularly bridging the School of Business and the School of Technology. B. Teaching and Mentorship: Design, develop, and teach advanced courses in Business Analytics at the undergraduate, postgraduate (MBA), and doctoral levels. Potential topics include Predictive Analytics, Machine Learning for Business, AI Strategy, and Big Data Technologies. Provide high-quality supervision and mentorship to Ph.D. students and master's candidates, guiding their research to successful and impactful completion. Deliver specialized workshops and modules for Executive Education, empowering industry leaders with cutting-edge analytics skills using tools like Python, R, SQL, and Tableau. Champion innovative, hands-on pedagogy, incorporating real-world datasets, industry case studies, and live projects into the curriculum. C. Leadership and Institutional Service: Provide intellectual and strategic leadership for the Business Analytics domain within the School of Business and across the university. Play a central role in curriculum design and program development to ensure Woxsen remains at the forefront of analytics education. Build and maintain strong relationships with leading companies in the technology, consulting, and finance sectors to facilitate student internships, placements, and collaborative research. Serve as a public intellectual for the university, offering expert commentary and thought leadership on the role of data and AI in the modern economy. Actively participate in faculty governance, university committees, and strategic initiatives that advance Woxsen's mission. 4. Qualifications and Experience Essential: A Ph.D. from a globally recognized university in Business Analytics, Data Science, Information Systems, Computer Science, Statistics, or a closely related quantitative field. A minimum of 10 years of post-Ph.D. teaching and/or research experience, with a distinguished record appropriate for appointment at the Professor rank. An exceptional and sustained publication record in top-tier, internationally recognized academic journals. A proven history of attracting and managing external research grants. Demonstrated excellence in teaching at the university level, with experience in supervising doctoral students to completion. An established international reputation and a robust professional network in the field of data science and analytics.

About Us nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize. Job Description Required Skills: Should have minimum 4 to 5 years of experience in selling IT Services for Web and Mobile applications. Should have experience in sales for international market like UK, Europe Should have good understanding about IT Services Should have prior experience in team management Should be able to work as an individual contributor Willingness to travel as required. Responsibilities Explore New Revenue Generation Avenues through Sales Partnerships/Channels Business Development & Marketing Budgeting Process Mapping and Adherence Active Lead Generation Championing Lead Generation Marketing & Branding Strategies check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

About Us nCircle Tech Private Limited (Incorporated in 2012) empowers passionate innovators to create impactful 3D visualization software for desktop, mobile and cloud. Our domain expertise in CAD and BIM customization is driving automation with the ability to integrate advanced technologies like AI/ML and AR/VR, which empowers our clients to reduce time to market and meet business goals. nCircle has a proven track record of technology consulting and advisory services for AEC and Manufacturing industry across the globe. Our team of dedicated engineers, partner ecosystem and industry veterans are on a mission to redefine how you design and visualize. Responsibilities Job Description Participate in the development efforts of the cloud-based SaaS solution from the scratch. Be part of an agile team possessing end-to-end responsibility for design, development, testing, deployment, maintenance, support and other tasks that guarantee delivery of the high-quality software and within defined timeframes, focusing (but not limited to) back-end development tasks Work in startup environment, building POC and demo to stakeholders, respond to feedback and finally build the deployable solution for the customers Learn new software and technologies quickly Provide recommendations on the technology and architecture Qualifications BE/BTech/MTech degree. At least 3 years of full stack development and design experience in enterprise-scale SaaS products through the full development cycle – from requirements to production release and customer support. Should be very strong in Java Scripts, NodeJS, Express, ReactJS or Front end technologies Practical experience in: Micro-services architecture REST API design and implementation Excellent communication skills check(event) ; career-website-detail-template-2 => apply(record.id,meta)" mousedown="lyte-button => check(event)" final-style="background-color:#6875E2;border-color:#6875E2;color:white;" final-class="lyte-button lyteBackgroundColorBtn lyteSuccess" lyte-rendered="">

Job Summary: The Core Data Product Analyst will be responsible for analyzing and interpreting complex data sets to help drive strategic decision-making and product development related to our investment data management platform. Reporting to a senior product leader, this role will collaborate closely with internal stakeholders and clients to ensure that data management solutions meet user needs and business objectives. The Analyst will also contribute to identifying trends and insights that can inform our product roadmap and improve user experience. Responsibilities: Collaborate with product managers to define data requirements and support the development of analytical models. Conduct data analysis to identify trends, issues, and opportunities that can enhance product performance. Generate reports and dashboards that provide actionable insights to stakeholders. Advocate for a culture of data-driven decision-making within the organization. Work with engineering teams to ensure data integrity and accuracy in product development. Support the prioritization of product features based on data analysis and user feedback. Required Skills: Prior experience in Investment management industry with strong knowledge of Security Reference, Trade, Analytics, Pricing, Accounting (ABOR/IBOR), Performance, Risk, Custody data domains is a must have. Knowledge of capital markets and expertise in equity, fixed income, and derivatives is key. 3-6 years of experience in data analysis or a related field, preferably within the investment management industry. Strong understanding of data management principles, including data governance and data quality processes. Proficient with SQL, Excel, and data visualization tools (e.g., Tableau, Power BI). Familiarity with capital markets and financial data domains. Excellent analytical problem-solving skills and attention to detail. Strong communication skills, with the ability to convey complex information clearly to diverse audiences. Ability to work effectively in a fast-paced environment and handle multiple projects simultaneously. Experience with cloud platforms (AWS/Azure/GCP) and relational or NoSQL databases is a plus. Knowledge of Snowflake is appreciated. Education Background: Bachelor's degree in Data Science, Computer Science, Statistics, or a related field. Master's degree is a plus. Nice to have: Experience working in alternative asset management or related financial services. Knowledge of machine learning techniques and their application in data analytics. Exposure to working with portfolio managers, traders, and researchers is valuable.

Job Description Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders you will support our business with excellent data models to uncover trends that can drive long-term business results. How You Will Contribute You will: Work in close partnership with the business leadership team to execute the analytics agenda Identify and incubate best-in-class external partners to drive delivery on strategic projects Develop custom models/algorithms to uncover signals/patterns and trends to drive long-term business performance Execute the business analytics program agenda using a methodical approach that conveys to stakeholders what business analytics will deliver What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to senior leaders Technical experience in roles in best-in-class analytics practices Experience deploying new analytical approaches in a complex and highly matrixed organization Savvy in usage of the analytics techniques to create business impacts Are You Ready to Make It Happen at Mondelēz International? Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with various commercial teams and leaders you will support our business with Data & Analytics capabilities at scale to help the company make faster and smarter business decisions. How You Will Contribute You will be: Developing foundational analytics capabilities across pricing, promotions, trade investment, in store execution, call planning—enabling more informed, strategic choices by customer and channel. Maintaining and operationalizing data assets, ensuring data integrity, and supporting the connection of multiple commercial datasets (e.g., sales, pricing, promotional history) into usable insights. Enabling repeatable processes and standard reports, which are essential for scaling analytics across markets and functions. What You Will Bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data and analytics to bring forth capabilities to enable analysis and decision making in the broader organization Technical experience to develop and guide partners to deliver best-in-class solutions Experience deploying new analytical approaches in a complex and highly matrixed organization More About The Organization Data & Analytics (D&A) is a critical enabler for growth across the markets, by leading the Data & Analytics strategic vision & roadmap, building momentum by rallying the rest of the organization, implementing data & analytics identified priorities at scale across AMEA to deliver strong business value across all levels of organization at right cost structure, facilitating and conceptualizing adoption plans as well as continuous improvement plans. The D&A organization has a set of central teams; Data Management, Analytics Products, Center of Enablement and Data Science resources, which should be maximized at the service of the AMEA business priorities – this requires strong collaboration and influencing skills to drive adoption, relevancy, and business impact with speed. This role sits in the regional D&A structure that brings together these practices to deliver value based on an opportunity that is identified in the region. We partner commercial functions; Consumer-Marketing, Customer-Sales, Supply Chain and Finance on the D&A agenda for each function. Building capability within the teams including leading, coaching, guiding, and inspiring the direct and indirect internal & external teams, multifunctional teams in region & business units in order to build a robust ecosystem that can deliver and embed analytics in the identified business processes. What you need to know about this position: A key success driver in this role is to leverage foundational analytics capabilities across pricing, promotions, and trade investment to enable more informed, strategic decisions by customer and channel. The role will involve prototyping and scaling analytics solutions to meet unmet business needs within AMEA and potentially across global markets through collaboration with internal teams or external partners. The role is expected to evolve into a regional expert in commercial data and the market landscape, enabling consultation on the deployment of globally scalable solutions. This includes understanding business needs, translating stakeholder requirements, and ensuring alignment with regional priorities. The analyst will drive end-to-end analytics solutions—from data ingestion and processing to visualization and insights—by conducting workshops and business interviews. This includes defining and operationalizing advanced methodologies and translating data assets (e.g., sales, pricing, promotional history) into actionable insights. The role will also focus on designing and maintaining scalable data products—dashboards, automated reports, and self-serve analytics tools—that deliver business value and empower commercial users to make data-informed decisions with speed and accuracy. Through consultation and training, the analyst will help raise data coverage, usage, accessibility, and literacy across the organization, embedding a data-driven culture within commercial teams. The role will also involve coaching and nurturing an agile and collaborative D&A team, fostering innovation and continuous improvement in analytical approaches. What extra ingredients you will bring: Job specific requirements: Data & Analytics Skills Working Knowledge: Analytics (diagnostic, descriptive, predictive and prescriptive) techniques Practitioner: Data management, for example data integration (ETL) or metadata. Awareness: Data architecture, for example the difference between data warehouse, data lake or data hub. Working Knowledge: Data modelling, for creation of right reusable data assets Awareness: Data governance, for example MDM, data quality and data stewardship practices. Working Knowledge: Statistical skills, for example understanding the difference between correlation and causation. Working Knowledge: Business data, for Customer POS, Media GRP, Shopper Panels, Shipments, Geo-Location, Trade Spend, etc Working Knowledge: UX/design, for example by creating products and visualizations that are easy to work with and support the activities required by the end users Technology Skills Working Knowledge: Programming languages like SQL, Python or R Practitioner: Analytics and Business Intelligence tools like Microsoft Power BI or Tableau. Soft skills to be successful in the role (not a pre-requisite): Leadership with high level of self-initiative and drive, for example leading the discussions on D&A agenda in the region and building a combined vision across multiple stakeholders Communication, for example conveying information to diverse audiences in a way that is easily understood and actionable. Facilitation and conflict resolution, for example hosting sessions to elicit ideas from others, understand their issues and encourage group participation. Creative thinking and being comfortable with unknown or unchartered territories, for example framing new concepts for business teams and brainstorming with business users about future product and services. Teamwork & Collaboration, for example working with both business domain teams as well as D&A teams and stakeholders. Storytelling & influencing, for example by creating a consistent, clear storyline for better understanding and/or to assert ideas and persuading others to gain support across an organization or to adopt new behaviors. Domain skills would be an advantage (not a pre-requisite): Commercial/Sales Acumen, for example understanding business concepts, practices and business domain (RTM/RGM) language to engage in problem solving sessions and discuss business issues in stakeholder language. Project management capabilities to manage a workplan, for example understanding of project management concepts to organize their own work and the ability to collaborate with project managers to align business expectations with the D&A team delivery capabilities. Vendor negotiation and effort estimation skills, for example to manage the right partner skills at right cost based on the complexity and importance of the initiatives to be delivered or supported Education / Certifications: Computer Science graduate with preferred master’s in information management/data science/applied Analytics. Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary Headquartered in Singapore, Mondelēz International’s Asia, Middle East and Africa (AMEA) region is comprised of six business units, has more than 21,000 employees and operates in more than 27 countries including Australia, China, Indonesia, Ghana, India, Japan, Malaysia, New Zealand, Nigeria, Philippines, Saudi Arabia, South Africa, Thailand, United Arab Emirates and Vietnam. Seventy-six nationalities work across a network of more than 35 manufacturing plants, three global research and development technical centers and in offices stretching from Auckland, New Zealand to Casablanca, Morocco. Mondelēz International in the AMEA region is the proud maker of global and local iconic brands such as Oreo and belVita biscuits, Kinh Do mooncakes, Cadbury, Cadbury Dairy Milk and Milka chocolate, Halls candy, Stride gum, Tang powdered beverage and Philadelphia cheese. We are also proud to be named a Top Employer in many of our markets. Mondelēz International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science

Experience: 4–6 Years Job Summary: We need a Senior Tableau Developer with a minimum of 4 years to join our BI team. The ideal candidate will be responsible for designing, developing, and deploying business intelligence solutions using Tableau. Key Responsibilities: Design and develop interactive and insightful Tableau dashboards and visualizations . Optimize dashboards for performance and usability. Work with SQL and data warehouses (Snowflake) to fetch and prepare clean data sets. Gather and analyse business requirements, translate them into functional and technical specifications. Collaborate with cross-functional teams to understand business KPIs and reporting needs. Conduct unit testing and resolve data or performance issues. Strong understanding of data visualization principles and best practices. Tech. Skills Required: 1. Proficient in Tableau Desktop (dashboard development, storyboards) 2. Strong command of SQL (joins, subqueries, CTEs, aggregation) 3. Experience with large data sets and complex queries 4. Experience working on any Data warehouse (Snowflake, Redshift) 5. Excellent analytical and problem-solving skills. mail updated resume with current salary- email: etalenthire@ gmail.com satish: 88O2749743 Job Type: Full-time Pay: ₹592,689.63 - ₹1,919,305.62 per year Schedule: Day shift Ability to commute/relocate: Gurgaon, Haryana: Reliably commute or planning to relocate before starting work (Preferred) Application Question(s): Current ctc ? Expected ctc ? Notice period ? current location ? Would you be comfortable with job location (Gurgaon) ? Experience: Tableau: 4 years (Preferred) Tableau Desktop: 4 years (Preferred) SQL: 4 years (Preferred) Work Location: In person

We are looking for an insightful and technically skilled Data Science and Analytics Consultant to join our team on a hybrid, part-time basis. This role suits professionals passionate about transforming complex data into actionable business insights and strategic recommendations. As a Consultant, you will analyze large datasets, develop predictive models, and work closely with clients and internal teams to solve business challenges through data-driven approaches. You will help design and implement analytical frameworks that support decision-making across departments. The hybrid setup allows flexibility to perform deep data analysis remotely while collaborating onsite for key meetings and presentations. Key Responsibilities: Collect, process, and analyze structured and unstructured data from diverse sources. Develop and validate statistical and machine learning models to uncover patterns and forecast trends. Collaborate with clients to understand business problems and translate them into analytical projects. Present insights and recommendations clearly to technical and non-technical stakeholders. Support data visualization efforts and dashboard creation to communicate findings effectively. Assist in data strategy development and implementation to improve data quality and accessibility. Stay current with emerging data science tools, techniques, and best practices. Qualifications: Bachelor’s or Master’s degree in Data Science, Statistics, Computer Science, or related field. 3+ years of experience in data science, analytics consulting, or related roles. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools (Tableau, Power BI, etc.) and cloud platforms is a plus. Strong problem-solving skills and ability to translate data into actionable business solutions. Excellent communication skills and experience presenting to diverse audiences. Ability to manage projects independently in a hybrid work environment. This hybrid, part-time role is ideal for experienced data science professionals eager to drive business impact through advanced analytics and consulting.

Job Description: Responsibilities: Develop and implement data models and algorithms to solve complex business problems. Utilize Databricks to manage and analyse large datasets efficiently. Collaborate with cross-functional teams to understand business requirements and deliver data-driven insights. Design and build scalable data pipelines and ETL processes. Perform data exploration, preprocessing, and feature engineering. Conduct statistical analysis and machine learning model development. Communicate findings and insights to stakeholders through data visualization and reports. Stay current with industry trends and best practices in data science and big data technologies. Requirements: Minimum 6 years of experience as a Data Scientist Required. Proven experience as a Data Scientist or similar role. Proficiency with Databricks and its ecosystem. Strong programming skills in Python, R, or Scala. Experience with big data technologies such as Apache Spark, Databricks. Knowledge of SQL and experience with relational databases. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud). Strong analytical and problem-solving skills. Excellent communication and teamwork abilities. Bachelor's degree in Data Science, Computer Science, Statistics, or a related field (or equivalent experience). Preferred Qualifications: Advanced degree (Master's or Ph.D.) in a relevant field. Experience with machine learning frameworks (e.g., TensorFlow, PyTorch). Knowledge of data visualization tools (e.g., Tableau, Power BI). Familiarity with version control systems (e.g., Git).

Job Summary: Our organization seeks a dedicated and skilled Data & Project Management Analyst. This role demands a unique blend of talents in managing comprehensive data analytics processes, orchestrating project management, and crafting insightful Management Information Systems (MIS) dashboards. The successful candidate will report directly to the Deputy CEO and play a pivotal role in harnessing data to fuel strategic decisions, improve operational efficiencies, and drive our growth in the competitive landscape. Key Responsibilities: 1) Data Analytics & MIS Design Design and implement MIS across various departments, ensuring accurate and actionable data collection and analysis. Develop dynamic dashboards using data visualization tools such as Power BI, tailored to management's needs for strategic oversight and decision-making. 2) Project Management Employ project management methodologies and tools, like Jira, to oversee data-related projects from inception to completion, ensuring alignment with business goals. Coordinate cross-departmental efforts to gather data, setting and maintaining high standards for data quality and timeliness. 3) Strategic Collaboration & Reporting Work directly with the Deputy CEO and other senior management members to identify key data and analytics priorities that support the organization's strategic objectives. Present complex data findings in a clear and actionable manner, enabling informed decision-making at the highest levels. 4) Continuous Improvement & Innovation Stay abreast of the latest trends and technologies in data analytics and project management to continually enhance our capabilities. Initiate and lead projects aimed at improving data collection methodologies, analytics processes, and project management practices. Qualifications: 1) Bachelor’s or Master’s degree in Information Technology, Business Administration, Data Science, or a related field. 2) Demonstrated experience in data analytics, MIS design, and project management, with a strong preference for candidates familiar with Power BI, Jira, and similar tools. 3) Excellent analytical, problem-solving, and communication skills, with the ability to manage multiple projects and stakeholders effectively. 4) Prior experience in the edtech sector is an asset, providing valuable insights into one of our key operational domains.

Summary Position Summary Process Optimization & Service Assurance - Operations Reporting Sr. Analyst (USI) The Team Deloitte Technology is the Global CIO’s IT Organization, which provides and manages a portfolio of global business applications and technology infrastructure that supports business processes common to all Deloitte member firms. Work you’ll do The Operations Reporting Analyst will play a critical role in daily operations, ensuring that leadership is equipped with accurate service and quality metrics to make informed decisions.He/she is also expected to oversee the development and delivery of self-service reporting, dashboards and compliance scorecards and provide thought leadership as required around portfolio insights and total quality management. Outstanding research, analytical, and quantitative aptitude, as well as advanced attention to detail and strong business acumen are required for success in this role. Enterprise Assurance & Insights: Create and maintain portfolio, service excellence and quality performance reporting on a regular basis Oversee and manage service enrollments, SOWs/MOUs and work order activations, DocuSign workflows and reporting Analyze portfolio performance data and provide actionable insights to leadership through reporting & regular leadership report-out discussions Take lead in working closely with Service Excellence and other DT leaders and team members to support & provide guidance around respective pillar/service area/MF reporting needs and insights Audit accuracy of data pulled from different sources, building in early identification controls to ensure data managed by the team remains the single source of truth Collaborate & liaise with Service Excellence leaders to understand reporting requirements across the organization and ensure information/insights are delivered timely and accurately Leverage analytical tools such as Power BI, Excel and Tableau to perform advance analytics to serve leadership and stakeholders Maintain quality compliance scorecards, to include extracting key messages for leadership review and action Collaborate with Service Excellence leaders to proactively drive improved quality and delivery excellence as per defined standards (Technology Operating Model, Global PDP, ITC/DR) Optimize existing processes, enabling automation to reduce manual effort Work with stakeholders to understand business requirements, identify opportunities to streamline processes and enable informed decision-making through reporting Qualifications Bachelor’s degree required; major in IT/CIS/Business preferred, with other majors considered 3-6 years of metrics analysis and reporting, preferably in a global organization Strong communication skills Advanced experience in MS Excel (including macros) and PowerPoint required Experience with Tableau, PowerBI and enterprise project and resource management tools such like ServiceNow required Experience in data analysis and data visualization required Experience in SQL database management (i.e. basic queries, creating tables, etc.) Required skills: Excellent attention to detail; understands urgency and accuracy of work Good administration skills Must be very well organized and be able to respond to changing priorities Well-developed interpersonal, communication and presentation skills Excellent relationship management skills Strong team player Ability to be proactive and work alone as well as part of a larger team Ability to navigate large organizations Analytical and flexible with the ability to rapidly understand unfamiliar and complex concepts The ability to synthesize and visualize complex data Exceptional business acumen and the ability to understand the business needs/drivers that will drive the reporting solutions that are built How You’ll Grow At Deloitte, we have invested a great deal to create a rich environment in which our professionals can grow. We want all our people to develop in their own way, playing to their own strengths as they hone their leadership skills. And, as a part of our efforts, we provide our professionals with a variety of learning and networking opportunities—including exposure to leaders, sponsors, coaches, and challenging assignments—to help accelerate their careers along the way. No two people learn in exactly the same way. So, we provide a range of resources including live classrooms, team-based learning, and eLearning. DU: The Leadership Center in India, our state-of-the-art, world-class learning Center in the Hyderabad offices is an extension of the Deloitte University (DU) in Westlake, Texas, and represents a tangible symbol of our commitment to our people’s growth and development. Benefits At Deloitte, we know that great people make a great organization. We value our people and offer employees a broad range of benefits. Learn more about what working at Deloitte can mean for you. Deloitte’s culture Our positive and supportive culture encourages our people to do their best work every day. We celebrate individuals by recognizing their uniqueness and offering them the flexibility to make daily choices that can help them to be healthy, centered, confident, and aware. We offer well-being programs and are continuously looking for new ways to maintain a culture that is inclusive, invites authenticity, leverages our diversity, and where our people excel and lead healthy, happy lives. Learn more about Life at Deloitte. Corporate citizenship Deloitte is led by a purpose: to make an impact that matters. This purpose defines who we are and extends to relationships with our clients, our people, and our communities. We believe that business has the power to inspire and transform. We focus on education, giving, skill-based volunteerism, and leadership to help drive positive social impact in our communities. Learn more about Deloitte’s impact on the world. #EAG-Technology Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India . Benefits To Help You Thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 300862

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

Line of Service Advisory Industry/Sector Not Applicable Specialism Risk Management Level Associate Job Description & Summary A career within Internal Audit services, will provide you with an opportunity to gain an understanding of an organisation’s objectives, regulatory and risk management environment, and the diverse needs of their critical stakeholders. We focus on helping organisations look deeper and see further considering areas like culture and behaviours to help improve and embed controls. In short, we seek to address the right risks and ultimately add value to their organisation. *Why PWC At PwC, you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purpose-led and values-driven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC, we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true saelves and contribute to their personal growth and the firm’s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. " Job Description & Summary: A career within…. Responsibilities: Architecture Design: · Design and implement scalable, secure, and high-performance architectures for Generative AI applications. · Integrate Generative AI models into existing platforms, ensuring compatibility and performance optimization. Model Development and Deployment: · Fine-tune pre-trained generative models for domain-specific use cases. · Data Collection, Sanitization and Data Preparation strategy for Model fine tuning. · Well versed with machine learning algorithms like Supervised, unsupervised and Reinforcement learnings, Deep learning. · Well versed with ML models like Linear regression, Decision trees, Gradient boosting, Random Forest and K-means etc. · Evaluate, select, and deploy appropriate Generative AI frameworks (e.g., PyTorch, TensorFlow, Crew AI, Autogen, Langraph, Agentic code, Agent flow). Innovation and Strategy: · Stay up to date with the latest advancements in Generative AI and recommend innovative applications to solve complex business problems. · Define and execute the AI strategy roadmap, identifying key opportunities for AI transformation. · Good exposure to Agentic Design patterns Collaboration and Leadership: · Collaborate with cross-functional teams, including data scientists, engineers, and business stakeholders. · Mentor and guide team members on AI/ML best practices and architectural decisions. · Should be able to lead a team of data scientists, GenAI engineers and Software Developers. Performance Optimization: · Monitor the performance of deployed AI models and systems, ensuring robustness and accuracy. · Optimize computational costs and infrastructure utilization for large-scale deployments. Ethical and Responsible AI: · Ensure compliance with ethical AI practices, data privacy regulations, and governance frameworks. · Implement safeguards to mitigate bias, misuse, and unintended consequences of Generative AI. Mandatory skill sets: · Advanced programming skills in Python and fluency in data processing frameworks like Apache Spark. · Experience with machine learning, artificial Intelligence frameworks models and libraries (TensorFlow, PyTorch, Scikit-learn, etc.). · Should have strong knowledge on LLM’s foundational model (OpenAI GPT4o, O1, Claude, Gemini etc), while need to have strong knowledge on opensource Model’s like Llama 3.2, Phi etc. · Proven track record with event-driven architectures and real-time data processing systems. · Familiarity with Azure DevOps and other LLMOps tools for operationalizing AI workflows. · Deep experience with Azure OpenAI Service and vector DBs, including API integrations, prompt engineering, and model fine-tuning. Or equivalent tech in AWS/GCP. · Knowledge of containerization technologies such as Kubernetes and Docker. · Comprehensive understanding of data lakes and strategies for data management. · Expertise in LLM frameworks including Langchain, Llama Index, and Semantic Kernel. · Proficiency in cloud computing platforms such as Azure or AWS. · Exceptional leadership, problem-solving, and analytical abilities. · Superior communication and collaboration skills, with experience managing high-performing teams. · Ability to operate effectively in a dynamic, fast-paced environment. Preferred skill sets: · Experience with additional technologies such as Datadog, and Splunk. · Programming languages like C#, R, Scala · Possession of relevant solution architecture certificates and continuous professional development in data engineering and Gen AI. Years of experience required: 0-1 Years Education qualification: · BE / B.Tech / MCA / M.Sc / M.E / M.Tech Education (if blank, degree and/or field of study not specified) Degrees/Field of Study required: Bachelor in Business Administration, Master of Business Administration, Bachelor of Engineering Degrees/Field of Study preferred: Certifications (if blank, certifications not specified) Required Skills Java Optional Skills Accepting Feedback, Accepting Feedback, Accounting and Financial Reporting Standards, Active Listening, Artificial Intelligence (AI) Platform, Auditing, Auditing Methodologies, Business Process Improvement, Communication, Compliance Auditing, Corporate Governance, Data Analysis and Interpretation, Data Ingestion, Data Modeling, Data Quality, Data Security, Data Transformation, Data Visualization, Emotional Regulation, Empathy, Financial Accounting, Financial Audit, Financial Reporting, Financial Statement Analysis, Generally Accepted Accounting Principles (GAAP) {+ 19 more} Desired Languages (If blank, desired languages not specified) Travel Requirements Not Specified Available for Work Visa Sponsorship? No Government Clearance Required? No Job Posting End Date

At Jacobs, we're challenging today to reinvent tomorrow by solving the world's most critical problems for thriving cities, resilient environments, mission-critical outcomes, operational advancement, scientific discovery and cutting-edge manufacturing, turning abstract ideas into realities that transform the world for good. Your impact This role will play a crucial role in supporting the full project lifecycle, from initiation to closure, ensuring projects are delivered on time, within budget, and to the highest quality standards. This role requires a blend of administrative prowess, analytical skills, and effective communication to manage project complexities and stakeholder expectations. A proactive problem-solver with a solid grasp of project management concepts and a strong desire to help projects succeed will be the perfect candidate. Project Planning & Initiation Contract Scope Definition Collaborate with the Project Manager and Design Leads to accurately define project scope and deliverables as outlined in the contract. Pre-Bid Support Assist in the pre-bid phase by preparing pricing estimates and managing related administrative tasks. Contractual Coordination Coordinate with the Legal and Commercial teams during the bidding phase to ensure contractual compliance and alignment. Project Setup Coordinate with Project Controls (PC) and Project Accounting (PA) teams to create new projects, WBS codes creation and ensuring all necessary documentation adheres to company procedures. Project Management Plan Development Support the preparation of comprehensive Project Management Plans, including schedules, cost estimates, communication strategies, quality control measures, and risk management plans. Project Execution & Monitoring Administrative Support Provide comprehensive administrative support to the project and Project Manager, ensuring smooth project operations. Documentation & Reporting Compile and manage project documentation, including reports, presentations, and other required materials, and Prepare Dashboards. Create and update project logs, change registers, risk registers, etc., as required per project requirements. Schedule Management Utilize Primavera P6/MSP to develop, maintain, and adjust project schedules to meet deadlines and milestones. Proactively communicate schedule changes to all relevant stakeholders. Financial Monitoring Support stakeholders in financial monitoring using Earned Value Management (EVM) techniques, including the analysis of Cost Performance Index (CPI) and Schedule Performance Index (SPI) to assess project financial health. Financial Accuracy Review expenditure details, identify and correct inaccurate charges, and process and track sub-consultant invoices to ensure accurate financial records. Forecasting & Analysis Prepare monthly Estimate to complete (ETC) forecasts with Project Managers and Design Managers and conduct routine cost analysis, cash flow projections, and other cost-related evaluations. Subcontractor & Procurement Coordination Coordinate with subcontractors and the internal procurement team for supplier onboarding, purchase order management, and invoice processing. Project Closure Project Closeout Prepare comprehensive project closeout reports, facilitate internal and external accounts reconciliation, manage project archiving, and collect client feedback. We value collaboration and believe that in-person interactions are crucial for both our culture and client delivery. We empower employees with our hybrid working policy, allowing them to split their work week between Jacobs offices/projects and remote locations enabling them to deliver their best work. Here's what you'll need Qualifications Graduate / Advanced degree in Engineering or other technical disciplines Experience in the infrastructure sector or construction industry is highly preferable Experience in project coordination and monitoring. Knowledge in cost control tools and techniques to drive /contribute to project financial health Minimum Work Experience Required Minimum of 8 years post qualification experience (PQE) in project coordination in relevant sectors or industry Required Skills Technical Skills Mastery of MS Excel and proficiency in other MS Office applications (Word, PowerPoint, SharePoint, Outlook). Financial acumen and schedule management skills are crucial. Knowledge of data visualization software like Power BI is an advantage. Soft Skills This role emphasizes both administrative and analytical capabilities. Excellent communication and interpersonal skills. The APM is a key communicator between multiple project stakeholders. Strong team player who can work effectively in diverse project environments. Ability to prioritize and organize tasks efficiently. Ability to work in a fast-paced environment and manage multiple tasks. Ability to follow company procedures and work independently without constant guidance. Key Relationship and Reporting The incumbent will have relationships with one or more of the following Project Delivery Leads, Project Managers, Senior Project Managers, Manager of Projects. Project Controllers, Project Accountants, Commercial Analysts, HSE, Procurement, Legal team, Document controller & project key stakeholders. Integrate with the project managers in their team meetings and project reporting. Will obtain guidance from leadership as required. Software Skills Mastery in MS Excel and strong skillset in other MS Office software (Word, PowerPoint, SharePoint, Outlook) Knowledge in Planning software like MSP / Primavera and Power BI / Data Visualization software will provide an advantage

Position: Data Science Intern Company: IGNITERN Location: Remote Duration: 3–6 Months Stipend: Unpaid Type: Internship (Certificate Provided) About IGNITERN: IGNITERN is a forward-thinking digital solutions company dedicated to nurturing emerging talent in the tech space. We focus on real-world problem-solving, innovation, and offering early-career professionals an opportunity to explore and grow in their field. Internship Overview: We are seeking Data Science Interns who are passionate about data, eager to build models, analyze trends, and create insights that support business strategies. If you're enthusiastic about applying machine learning and statistical techniques in real-world contexts, this internship is for you. Roles & Responsibilities: Assist in collecting, cleaning, and preparing data for analysis Apply machine learning algorithms, statistical models, and exploratory data analysis techniques Collaborate with cross-functional teams to define problems and propose data-driven solutions Develop visualizations, predictive models, and performance reports Document processes and present findings in a clear, actionable format Who Can Apply: Students or recent graduates in Computer Science, Data Science, Engineering, Statistics, or a related field Must be available for at least 3 months This is a remote and unpaid internship focused on skill-building and learning Required Skills: Proficiency in Python (NumPy, pandas, etc.) Knowledge of machine learning concepts and basic algorithms Familiarity with data visualization tools like Matplotlib or Seaborn Strong analytical thinking and attention to detail Good written and verbal communication skills What You'll Gain: Practical, hands-on experience working on live projects Mentorship and collaboration with experienced data professionals Internship Certificate upon successful completion Portfolio development with real-world data science tasks Opportunity to grow in a supportive, learning-focused environment How to Apply: Send your resume and any supporting work (GitHub, Kaggle, reports, etc.) to: 📩 hello@ignitern.in Shortlisted candidates will be contacted for a brief assignment or interview.

Internship Opportunity: Data Analytics Intern Company : Ignitern Location : Remote Duration : 3–6 Months Stipend : Unpaid (Internship Certificate Provided) About Us Ignitern is an innovation-led IT and consulting firm dedicated to shaping the next generation of data professionals. We offer early-stage talent the opportunity to work on impactful, real-world projects that connect data with decision-making. About the Internship We are looking for motivated and detail-oriented individuals who are excited to learn, analyze, and extract insights from data. This internship is a great opportunity to sharpen your skills in data analytics and business intelligence while working in a collaborative, project-based environment. Key Responsibilities Collect, clean, and organize datasets from multiple sources Analyze trends and generate actionable insights Build dashboards and reports using Excel, Power BI, or Tableau Write queries using SQL or manipulate data using Python/R Collaborate with internal teams to support ongoing data initiatives Assist in tracking performance metrics and business KPIs Preferred Skills Basic knowledge of Excel, SQL, or Python Understanding of data visualization techniques Familiarity with Power BI or Tableau is a plus Strong analytical mindset with attention to detail Good communication and teamwork skills Eagerness to learn and grow What You’ll Gain Real-world exposure to data analytics and BI tools Mentorship from experienced professionals Hands-on learning with live business data Internship completion certificate Stronger portfolio and enhanced career readiness Eligibility Open to students and recent graduates from any academic background Preferred fields include data science, statistics, computer science, or business analytics Must be available for a minimum of 3 months How to Apply Send your resume and any relevant portfolio links to hello@ignitern.in Use the subject line: Application for Data Analytics Intern – [Your Name] Shortlisted candidates will be contacted for a brief screening process.  Ready to turn data into decisions? Start your journey with Ignitern. #Ignitern #DataAnalyticsInternship #RemoteInternship #BusinessIntelligence #AnalyticsCareers #InternshipOpportunity #SQL #Excel #PowerBI #Python

Join Amgen's Mission to Serve Patients If you feel like you’re part of something bigger, it’s because you are. At Amgen, our shared mission—to serve patients—drives all that we do. It is key to our becoming one of the world’s leading biotechnology companies. We are global collaborators who achieve together—researching, manufacturing, and delivering ever-better products that reach over 10 million patients worldwide. It’s time for a career you can be proud of. Specialist IS Software engineer Live What you will do Let’s do this. Let’s change the world. In this vital role We are looking for a creative and technically skilled Specialist IS Software engineer - Data Management Lead . This role will be responsible for leading data management initiatives collaborating across business, IT, and data governance teams. The ideal candidate will have extensive experience in configuring and implementing Collibra products, established track record of building high-quality data governance and data quality solutions with a strong hands-on design and engineering skills. The candidate must also possess strong analytical and communication skills. As a Collibra Lead Developer, you will play a key role in the design, implementation, and management of our Collibra Data Governance and Data Quality platform. You will work closely with stakeholders across the organization to ensure the successful deployment of data governance processes, solutions, and best practices. Building and integrating information systems to meet the company’s needs. Design and implement data governance frameworks, policies, and procedures within Collibra. Configure, implement, and maintain Collibra Data Quality Center to support enterprise-wide data quality initiatives Lead the implementation and configuration of Collibra Data Governance platform. Develop, customize, and maintain Collibra workflows, dashboards, and business rules. Collaborate with data stewards, data owners, and business analysts to understand data governance requirements and translate them into technical solutions Provide technical expertise and support to business users and IT teams on Collibra Data Quality functionalities. Collaborate with data engineers and architects to implement data quality solutions within data pipelines and data warehouses. Participate in data quality improvement projects, identifying root causes of data issues and implementing corrective actions Integrate Collibra with other enterprise data management systems (e.g., data catalogs, BI tools, data lakes). Provide technical leadership and mentoring to junior developers and team members. Troubleshoot and resolve issues with Collibra environment and data governance processes. Assist with training and enablement of business users on Collibra platform features and functionalities. Stay up to date with new releases, features, and best practices in Collibra and data governance. Basic Qualifications: Master’s degree in computer science & engineering preferred with 10+ years of software development experience OR, Bachelor’s degree in computer science & engineering preferred with 10+ years of software development experience Proven experience (7+ years) in data governance or data management roles. Strong experience with Collibra Data Governance platform, including design, configuration, and development. Hands-on experience with Collibra workflows, rules engine, and data stewardship processes. Experience with integrations between Collibra and other data management tools. Proficiency in SQL and scripting languages (e.g., Python, JavaScript). Strong problem-solving and troubleshooting skills. Excellent communication and collaboration skills to work with both technical and non-technical stakeholders Self-starter with strong communication and collaboration skills to work effectively with cross-functional teams. Excellent problem-solving skills and attention to detail. Domain knowledge of the Life sciences Industry Recent experience working in a Scaled Agile environment with Agile tools, e.g. Jira, Confluence, etc. Preferred Qualifications: Deep expertise in Collibra platform including Data Governance and Data Quality. In-depth knowledge of data governance principles, data stewardship processes, data quality concepts, data profiling and validation methodologies, techniques, and best practices. Hands-on experience in implementing and configuring Collibra Data Governance, Collibra Data Quality, including developing metadata ingestion, data quality rules, scorecards, and workflows. Strong experience in configuring and connecting to various data sources for metadata, data lineage, data profiling and data quality. Experience integrating data management capabilities (MDM, Reference Data) Good experience with Azure cloud services, Azure Data technologies and Databricks Solid understanding of relational database concepts and ETL processes. Proficient use of tools, techniques, and manipulation including programming languages (Python, PySpark, SQL etc.), for data profiling, and validation. Data modeling with tools like Erwin and knowledge of insurance industry standards (e.g., ACORD) and insurance data (policy, claims, underwriting, etc.). Familiarity with data visualization tools like Power BI. Good to Have Skills Willingness to work on AI Applications Experience with popular large language models Soft Skills: Excellent analytical and troubleshooting skills. Strong verbal and written communication skills. Ability to work effectively with global, remote teams. High degree of initiative and self-motivation. Ability to manage multiple priorities successfully. Team-oriented, with a focus on achieving team goals. Strong presentation and public speaking skills. Thrive What you can expect of us As we work to develop treatments that take care of others, we also work to care for our teammates’ professional and personal growth and well-being. In addition to the base salary, Amgen offers competitive and comprehensive Total Rewards Plans that are aligned with local industry standards. Apply now for a career that defies imagination In our quest to serve patients above all else, Amgen is the first to imagine, and the last to doubt. Join us. careers.amgen.com Amgen is an Equal Opportunity employer and will consider you without regard to your race, color, religion, sex, sexual orientation, gender identity, national origin, protected veteran status, or disability status. We will ensure that individuals with disabilities are provided with reasonable accommodation to participate in the job application or interview process, to perform essential job functions, and to receive other benefits and privileges of employment. Please contact us to request an accommodation.

- 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience - Experience with data visualization using Tableau, Quicksight, or similar tools - Experience with data modeling, warehousing and building ETL pipelines - Experience in Statistical Analysis packages such as R, SAS and Matlab - Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling The ShipTech BI team is looking for a smart and ambitious individual to support developing the operational reporting structure in Amazon Logistics. The potential candidate will support analysis, improvement and creation of metrics and dashboards on Transportation by Amazon, In addition, they will work with internal customers at all levels of the organization – Operations, Customer service, HR, Technology, Operational Research. The potential candidate will enjoy the challenges and rewards of working in a fast-growing organization. This is a high visibility position. As an Amazon Data Business Intelligence Engineer you will be working in one of the world's largest and most complex data warehouse environments. You should have deep expertise in the design, creation, management, and business use of extremely large datasets. You should have excellent business and communication skills to be able to work with business owners to develop and define key business questions, and to build data sets that answer those questions. You should be expert at designing, implementing, and operating stable, scalable, low cost solutions to flow data from production systems into the data warehouse and into end-user facing applications. You should be able to work with business customers in understanding the business requirements and implementing reporting solutions. Above all you should be passionate about bringing large datasets together to answer business questions and drive change. Key Responsibilities: - Design automated solutions for recurrent reporting (daily/weekly/monthly). - Design automated processes for in-depth analysis databases. - Design automated data control processes. - Collaborate with the software development team to build the designed solutions. - Learn, publish, analyze and improve management information dashboards, operational business metrics decks and key performance indicators. - Improve tools, processes, scale existing solutions, create new solutions as required based on stakeholder needs. - Provide in-depth analysis to management with the support of accounting, finance, transportation and supply chain teams. - Participate in annual budgeting and forecasting efforts. - Perform monthly variance analysis and identify risks & opportunities. Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc. and using databases in a business environment with large-scale, complex datasets Our inclusive culture empowers Amazonians to deliver the best results for our customers. If you have a disability and need a workplace accommodation or adjustment during the application and hiring process, including support for the interview or onboarding process, please visit https://amazon.jobs/content/en/how-we-hire/accommodations for more information. If the country/region you’re applying in isn’t listed, please contact your Recruiting Partner.

Description Brief Job Overview The Digital & Innovation group at USP is seeking a Data Scientist with skills in advanced analytics (predictive modeling, machine learning, natural language processing) and data visualization to work on projects that drive innovations and deliver digital solutions. We are seeking someone who understands the power of data and enjoys communicating the insights and help create an unified experience across our ecosystem. How will YOU create impact here at USP? In this role at USP, you contribute to USP's public health mission of increasing equitable access to high-quality, safe medicine and improving global health through public standards and related programs. In addition, as part of our commitment to our employees, Global, People, and Culture, in partnership with the Equity Office, regularly invests in the professional development of all people managers. This includes training in inclusive management styles and other competencies necessary to ensure engaged and productive work environments. Use exploratory data analysis to spot anomalies, understand patterns, test hypotheses, or check assumptions. Apply various ML techniques to perform classification or regression tasks to drive business impact and address identified needs in an agile manner. Use natural language processing techniques to extract information and improve business workflows. Interpret and communicate results clearly and concisely to audiences with varying backgrounds and degrees of technical understanding. Collaborate with other data scientists, data engineers, and IT team to help ensure project delivery and success. Who is USP Looking For? The successful candidate will have a demonstrated understanding of our mission, commitment to excellence through inclusive and equitable behaviors and practices, ability to quickly build credibility with stakeholders, along with the following competencies and experience: Education: Bachelor’s degree in relevant field (e.g. Engineering, Analytics or Data Science, Computer Science, Statistics) or equivalent experience. Experience: Data Scientist: 3 – 6 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Senior Data Scientist: 6 - 10 years of hands-on experience in data science, advanced analytics, machine learning, statistics, and natural language processing Technical proficiency in the following: python/packages: pandas, numpy, regex, scikit-learn, xgboost, and visualization packages (such as matplotlib, seaborn); SQL Proficiency in CNN/ RNN models. Proficiency in using GenAI concepts with graph data. Experience with data extraction and scraping. Experience with XML documents and DOM model. Additional Desired Preferences Master’s degree (Information Systems Management, Analytics, Data Engineering, Sciences, or other Quantitative program) Experience with scientific chemistry nomenclature or prior work experience in life sciences, chemistry, or hard sciences or degree in sciences Experience with pharmaceutical / IQVIA datasets and nomenclature Experience translating stakeholder needs into technical project outputs Experience working with knowledge graphs in conjunction with RAG patterns and Chunking methodologies. Ability to explain complex technical issues to a non-technical audience Self-directed and able to handle multiple concurrent projects and prioritize tasks independently Able to make tough decisions when trade-offs are required to deliver results Strong communication skills required: Verbal, written, and interpersonal Supervisory Responsibilities This is non-supervisory position Benefits USP provides the benefits to protect yourself and your family today and tomorrow. From company-paid time off and comprehensive healthcare options to retirement savings, you can have peace of mind that your personal and financial well-being is protected. Note: USP does not accept unsolicited resumes from 3rd party recruitment agencies and is not responsible for fees from recruiters or other agencies except under specific written agreement with USP. Who is USP? The U.S. Pharmacopeial Convention (USP) is an independent scientific organization that collaborates with the world's top authorities in health and science to develop quality standards for medicines, dietary supplements, and food ingredients. USP's fundamental belief that Equity = Excellence manifests in our core value of Passion for Quality through our more than 1,300 hard-working professionals across twenty global locations to deliver the mission to strengthen the supply of safe, quality medicines and supplements worldwide. At USP, we value inclusivity for all. We recognize the importance of building an organizational culture with meaningful opportunities for mentorship and professional growth. From the standards we create, the partnerships we build, and the conversations we foster, we affirm the value of Diversity, Equity, Inclusion, and Belonging in building a world where everyone can be confident of quality in health and healthcare. USP is proud to be an equal employment opportunity employer (EEOE) and affirmative action employer. We are committed to creating an inclusive environment in all aspects of our work—an environment where every employee feels fully empowered and valued irrespective of, but not limited to, race, ethnicity, physical and mental abilities, education, religion, gender identity, and expression, life experience, sexual orientation, country of origin, regional differences, work experience, and family status. We are committed to working with and providing reasonable accommodation to individuals with disabilities.

Position: 3D & 2D Visualizer and Digital Marketing Executive Location: Gachibowli Job Type: Full-time Experience Level: Mid to Senior Level Job Overview: We are seeking a talented and creative 3D & 2D Visualizer to join our design team. The ideal candidate will be responsible for creating high-quality visual representations of interior and architectural designs, bringing concepts to life through both 3D and 2D modeling, rendering, and visualization techniques. Key Responsibilities: Create detailed 3D models and visualizations for architectural and interior design projects using tools like 3ds Max, SketchUp, or similar software. Develop 2D graphics and layouts using software such as AutoCAD, Photoshop, or Illustrator for presentations and detailed drawings. Work closely with interior designers, architects, and clients to visualize design concepts and ensure accurate and engaging representations. Produce high-quality renderings , animations, and virtual walkthroughs that effectively communicate design ideas. Assist in conceptual development by providing design solutions and creative input to the project teams. Ensure adherence to deadlines while maintaining a high standard of accuracy and detail. Stay updated on the latest trends in design and visualization software, tools, and techniques. Requirements: Proficiency in 3D modeling software (3ds Max, SketchUp, Rhino, or similar). Expertise in rendering tools (V-Ray, Lumion, Enscape, etc.). Strong knowledge of 2D design tools (AutoCAD, Adobe Suite, CorelDRAW, etc.). Ability to interpret technical drawings and translate them into 3D models. A strong portfolio showcasing both 2D and 3D design work. Excellent communication and teamwork skills. Ability to work on tight deadlines and manage multiple projects. Creative thinking and strong problem-solving skills. Preferred: Experience in animation and creating virtual walkthroughs. Knowledge of augmented reality (AR) and virtual reality (VR) tools. Previous experience in architecture or interior design environments. Job Description: Digital Marketing Executive Position: Digital Marketing Executive Location: Gachibowli Job Type: Full-time Experience Level: Entry to Mid-Level Job Overview: We are looking for a dynamic and results-driven Digital Marketing Executive to join our marketing team. The successful candidate will be responsible for executing and optimizing digital marketing strategies across various platforms to drive brand awareness, engagement, and lead generation. Key Responsibilities: Develop, implement, and manage digital marketing campaigns that promote the company's products or services. Oversee and maintain the company’s social media presence across all platforms (Facebook, Instagram, LinkedIn, etc.). Perform SEO/SEM efforts to increase web traffic and improve website ranking. Create and curate engaging content for digital platforms, including blogs, email newsletters, videos, and social media posts. Manage Google AdWords and other paid online advertising campaigns. Analyze and report on key performance indicators ( KPIs ) like traffic, conversions, and ROI for digital campaigns. Collaborate with internal teams to ensure consistent branding and messaging across all channels. Stay updated on industry trends, tools, and best practices in digital marketing . Identify and implement growth strategies for lead generation and customer acquisition. Maintain the company website, ensuring content is updated and optimized for SEO . Requirements: Bachelor’s degree in Marketing, Digital Media, Communications, or a related field. Proven experience as a Digital Marketing Executive or similar role. Strong knowledge of SEO, SEM , and Google Analytics . Experience with social media platforms and management tools (Hootsuite, Buffer, etc.). Proficiency in Google AdWords, Facebook Ads , and other online advertising platforms. Content creation skills with knowledge of tools like Canva, Photoshop, or video editing software. Excellent written and verbal communication skills . Ability to manage multiple projects and meet deadlines in a fast-paced environment. Analytical mindset with the ability to translate data into actionable insights. Preferred: Experience with email marketing tools like MailChimp, HubSpot, or similar platforms. Knowledge of CRM systems and managing customer databases. Familiarity with e-commerce platforms and online sales funnels. Both positions require creative, motivated individuals who are eager to make a significant impact within a growing company. Job Type: Full-time Pay: ₹18,000.00 - ₹25,000.00 per month Benefits: Paid sick time Schedule: Day shift Supplemental Pay: Performance bonus Experience: total work: 1 year (Preferred) Work Location: In person

If you are a current employee who is interested in applying to this position, please navigate to the internal Careers site to apply. Disclaimer: MarketStar is committed to ensuring integrity and transparency in our recruitment practices. We DO NOT charge any fees at any stage of the recruitment process. In case you receive any unsolicited requests for payments, please report to immediately. Job Title: Manager - Business Intelligence Experience: 10+ Years. Location: Hyderabad, India About MarketStar: MarketStar is a global sales and marketing outsourcing company that helps businesses drive growth through innovative sales solutions and customer engagement strategies. With over 30 years of experience, we partner with leading brands to accelerate sales performance and deliver exceptional customer experiences. Role Overview: In everything we do, we believe in creating growth, for our clients, employees, and community. For the past 35+ years, we have been generating revenue for the most innovative tech companies globally through our outsourced B2B demand, sales, customer success, and revenue operations solutions. We are passionate about cultivating career advancements for our people and supporting them through mentorship, leadership, and career development programs. We provide service and support to our communities through the MarketStar Foundation. Our exceptional team is the cornerstone of MarketStar's accomplishments. We are proud of our award-winning workplace culture and for being named a top employer. These achievements are a testament to our six core values, embraced by our 3,000+ employees worldwide. From our headquarters in Utah, USA, to our global offices in India, Ireland, Bulgaria, Mexico, the Philippines, and Australia, we all work together to drive innovation and success. We are excited to have you apply to join our MarketStar team and can’t wait to discuss how we can help you find growth! Key Responsibilities & What will you need to succeed in this role Hands on experience in managing BI/BA/Data teams and working closely with all stakeholders including Sr management. End to End knowledge of Operations management and Business analysis. Collaborate with cross-functional teams to understand business needs, define data requirements, and ensure data accuracy and integrity. Collect, analyze, and interpret complex data from multiple sources to identify trends, patterns, and opportunities for business improvement. Conduct ad-hoc analysis to support business initiatives, such as market research, competitive analysis, and customer segmentation. Develop and maintain interactive dashboards, reports, and visualizations using BI tools such as Tableau, Power BI, or similar, to provide actionable insights to stakeholders. Support business leaders in making data-driven decisions by presenting insights and recommendations in a clear and concise manner. Conduct ad-hoc data analysis and research to address specific business questions and challenges. Monitor key performance indicators (KPIs) and create alerts to proactively identify anomalies or potential issues. Drive continuous improvement of BI processes, tools, and methodologies to enhance the overall effectiveness of the BI function. Provide training and support to team members and end-users on BI tools and data analysis techniques. Stay informed about industry trends, best practices, and emerging technologies in business intelligence and data analytics. Partner with sales leaders and account managers to understand business needs and develop actionable insights and recommendations. Creating business review decks and presenting to the leadership team. Qualifications: Minimum 10 -12 years of experience in a position monitoring, managing, manipulating and drawing insights from data, and someone with at least 5 years of experience leading a team. Degree in Business Analytics/ Business Administration /Business Communication / Marketing. Proven work experience in business intelligence, data analysis, or related roles. Experience with data visualization tools such as Tableau, Power BI, or similar. Solid understanding of data concepts, data modeling, and database design principles. Excellent analytical and problem-solving skills, with the ability to think critically and draw insights from data. Strong business acumen and the ability to understand and interpret business requirements. Exceptional communication and presentation skills, with the ability to convey complex data insights to non-technical stakeholders. Experience in project management and the ability to prioritize and manage multiple tasks effectively. Familiarity with ETL (Extract, Transform, Load) processes and data integration techniques. Experience with data visualization tools: Tableau and others. Must have Skills: End to End knowledge of Operations management and Business analysis. Knowledge of operational analytics and modeling techniques. Experience with BI platforms (Power BI, SQL and Macros). Understanding of data governance and data quality principles. Understanding of Business concepts and business financials. Creating business review decks and presenting to the leadership team. What’s in it for you? Constant Learning and an entrepreneurial growth mindset. Employee centric benefits plan including but not limited to Comprehensive Health Insurance, generous Leave Policy, Covid Support, Vaccination drives, Wellbeing sessions, real time grievance redressal and work flexibility. We are a people-first organization with policies and process that help you bring the best version of yourself into work including fast track growth for high potential folks. An opportunity to be associated with the world’s leading brands as clients. To be a part of an organization with more than 60% of homegrown Leaders. Customized training programs that are catered to personal and professional development. We are an equal opportunities employer. We believe passionately that employing a diverse workforce is central to our success. If You're up for this position, hit the Apply Now Button!

Welcome to Warner Bros. Discovery… the stuff dreams are made of. Who We Are… When we say, “the stuff dreams are made of,” we’re not just referring to the world of wizards, dragons and superheroes, or even to the wonders of Planet Earth. Behind WBD’s vast portfolio of iconic content and beloved brands, are the storytellers bringing our characters to life, the creators bringing them to your living rooms and the dreamers creating what’s next… From brilliant creatives, to technology trailblazers, across the globe, WBD offers career defining opportunities, thoughtfully curated benefits, and the tools to explore and grow into your best selves. Here you are supported, here you are celebrated, here you can thrive. Your New Role : As the Staff, Solutions Architect (AI/ML) , you will play a pivotal role in driving the adoption of AI and Machine Learning solutions within one of the world’s largest Media & Entertainment companies. Based in India, you will lead the design and implementation of innovative AI/ML architectures that transform how we create, distribute, and monetize content across global markets. Your expertise will help bridge the gap between complex business challenges and advanced technical solutions, ensuring AI initiatives deliver real business value. This is a unique opportunity to work at the intersection of creativity and technology, where you’ll lead the development of intelligent solutions for personalized viewer experiences, optimized content workflows, and data-driven decision-making. If you’re passionate about leveraging AI/ML to revolutionize the Media & Entertainment industry and thrive in a dynamic, collaborative environment, this role is for you. 1. AI/ML Solution Design and Development Design and develop scalable AI/ML solutions tailored to address business challenges such as audience analytics, content personalization, and ad optimization. Lead the end-to-end architecture of AI/ML platforms, ensuring seamless integration with existing systems and data pipelines. Collaborate with data scientists, engineers, and business stakeholders to convert models into production-ready solutions. Evaluate and select appropriate AI/ML frameworks, technologies, and tools to meet project requirements. Ensure AI solutions are optimized for performance, scalability, and reliability across diverse use cases. 2. Technical Leadership and Innovation Provide technical leadership for AI/ML projects, guiding teams through solution architecture, development, and deployment. Stay abreast of emerging AI/ML trends and technologies to introduce innovative solutions and best practices. Lead proof-of-concept (POC) initiatives to validate new AI capabilities and demonstrate their potential impact. Promote a culture of innovation within the team, encouraging experimentation with cutting-edge AI/ML techniques. Mentor junior architects and engineers to build a strong pipeline of AI/ML talent. 3. Collaboration and Stakeholder Engagement Act as a key interface between business units, technical teams, and senior leadership to align AI/ML solutions with organizational goals. Translate business requirements into technical specifications, ensuring clarity and feasibility. Collaborate with cross-functional teams to prioritize and execute AI/ML projects that deliver the highest business impact. Communicate the value and progress of AI/ML initiatives to non-technical stakeholders through clear, compelling narratives. Foster strong relationships with external partners, including technology vendors and academic institutions, to drive innovation. 4. AI Governance and Risk Management Implement best practices for AI/ML governance, including model explainability, accountability, and ethical use. Ensure AI solutions comply with data privacy regulations and internal security protocols. Proactively identify and mitigate risks associated with AI/ML implementations, such as bias, overfitting, or data quality issues. Develop monitoring frameworks to track model performance and retrain models as necessary to maintain effectiveness. Establish guidelines and documentation for AI/ML processes, ensuring consistency and transparency. 5. Scalability and Continuous Improvement Architect solutions that are modular and scalable, capable of supporting future business growth and technological evolution. Regularly review and optimize existing AI/ML systems for improved performance and cost-efficiency. Establish feedback loops to capture learnings from deployed solutions and inform future enhancements. Identify opportunities for automation and operational efficiency using AI/ML. Lead initiatives to streamline workflows and reduce time-to-market for AI/ML projects. Qualifications & Experiences: Academic Qualifications: Bachelor’s or Master’s degree in Computer Science, Data Science, Artificial Intelligence, or a related technical discipline. Specialized certifications in AI/ML (e.g., Google Cloud AI Engineer, AWS Machine Learning Specialty) are a plus. Professional Experience: 8 + years of experience in AI/ML solution architecture, with at least 3+ years in a leadership role. Proven track record of designing and deploying AI/ML solutions in enterprise-scale environments, preferably within Media & Entertainment or a similar industry. Hands-on experience with AI/ML frameworks (e.g., TensorFlow, PyTorch, Scikit-learn) and cloud platforms (AWS, Azure, GCP). Strong expertise in building and optimizing data pipelines, model deployment workflows, and MLOps practices. Experience in implementing AI use cases like recommendation systems, natural language processing (NLP), and computer vision. Technical Skills: Proficiency in programming languages like Python, Java, or R. Expertise in big data technologies (e.g., Spark, Hadoop) and database systems (SQL, NoSQL). Solid understanding of microservices architecture and APIs for AI model integration. Advanced knowledge of AI model lifecycle management, from training to deployment and monitoring. Familiarity with visualization tools (e.g., Tableau, Power BI) to present AI-driven insights. Soft Skills: Exceptional problem-solving and critical-thinking abilities. Strong communication skills with the ability to articulate technical concepts to non-technical audiences. Collaborative mindset with the ability to work effectively in cross-functional teams. Leadership qualities, including mentoring and team development. High adaptability to a fast-paced and dynamic work environment. How We Get Things Done… This last bit is probably the most important! Here at WBD, our guiding principles are the core values by which we operate and are central to how we get things done. You can find them at www.wbd.com/guiding-principles/ along with some insights from the team on what they mean and how they show up in their day to day. We hope they resonate with you and look forward to discussing them during your interview. Championing Inclusion at WBD Warner Bros. Discovery embraces the opportunity to build a workforce that reflects a wide array of perspectives, backgrounds and experiences. Being an equal opportunity employer means that we take seriously our responsibility to consider qualified candidates on the basis of merit, regardless of sex, gender identity, ethnicity, age, sexual orientation, religion or belief, marital status, pregnancy, parenthood, disability or any other category protected by law. If you’re a qualified candidate with a disability and you require adjustments or accommodations during the job application and/or recruitment process, please visit our accessibility page for instructions to submit your request.

Overview: We have an exciting role to head our creative studio for one of Omnicom’s largest advertising agency. This leadership role will require to lead and drive world-class advertising, creative and studio deliverables working with global brands and agency leaders. This role would be overall responsible for production, practice a people management. Ab Omnicom Global Solutions Omnicom Global Solutions (OGS) is an agile innovation hub of Omnicom Group, a leading global marketing and corporate communications company. Guided by the principles of Knowledge, Innovation, and Transformation, OGS is designed to deliver scalable, customized, and contextualized solutions that meet the evolving needs of our Practice Areas within Omnicom. OGS India plays a key role for our group companies and global agencies by providing stellar products, solutions, and services in the areas of Creative Services, Technology, Marketing Science (Data & Analytics), Advanced Analytics, Market Research, Business Support Services, Media Services, and Project Management. We currently have 4000+ awesome colleagues in OGS India who are committed to solving our clients’ pressing business issues. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together! Responsibilities: About our Agency Omnicom Health Shared Services Omnicom Health Group is the world’s largest and most diverse global healthcare network, pioneering solutions that shape a healthier future for all. At OHG, you’re not just part of a network—you’re part of a movement. Our ambition is to be the case study others aspire to, challenging the status quo and redefining what’s possible. With flagship locations globally, we deliver local expertise and groundbreaking healthcare solutions across consulting, strategy, creative, media, and more. Our 29 specialized companies work seamlessly to drive innovation with precision and impact. Know more at: https://omnicomhealthgroup.com/ The OGS-OH partnership empowers some of the world’s iconic brands with Knowledge, Innovation, and Transformation. When you join, you become part of a dynamic team that delivers high-impact solutions in the healthcare marketing and communications space. Here’s what makes us unique: We are a growing community that blends creativity, technology, and data-driven insights to transform healthcare. Bringing you the best of both worlds – our team partners with key OH strategists while staying rooted in OGS’ culture and values. Access to top healthcare and biopharmaceutical brands. Helping you own your career – unlock diverse learning and upskilling opportunities, along with personalized talent development programs. Empowering you with an inclusive, rewarding, and engaging work environment centred around your well-being. Qualifications: JD Shared by Agency: Reporting & Insights – Specialist (Subject Matter Expert) Function: Market Science Level: SME Experience Required: 4–6 years of experience in marketing analytics, reporting architecture, data pipeline optimization, or performance intelligence strategy 1. Role Summary As a Specialist (SME) in the Reporting & Insights team within Market Science, you will serve as a domain expert in building robust reporting frameworks, optimizing data flows, and enabling scalable reporting systems across clients and platforms. You will lead reporting innovations, consult on best practices, and ensure governance across measurement and dashboarding processes. Your expertise will directly influence the development of strategic performance reporting for Omnicom Health clients, ensuring insights are timely, trusted, and actionable. 2. Key Responsibilities Architect reporting ecosystems using BI tools and advanced analytics workflows. Standardize KPIs, data definitions, and visualization best practices across clients. Collaborate with data engineering teams to enhance data warehousing/reporting infrastructure. Drive adoption of reporting automation, modular dashboards, and scalable templates. Ensure compliance with data governance, privacy, and client reporting SLAs. Act as the go-to expert for dashboarding tools, marketing KPIs, and campaign analytics. Conduct training and peer reviews to improve reporting maturity across teams. 3. Skills & Competencies Skill / Competency Proficiency Level Must-Have / Good-to-Have Criticality Index BI Tools Mastery (Power BI, Tableau) Advanced Must-Have High Data Architecture & ETL Intermediate Must-Have High Cross-Platform Reporting Logic Advanced Must-Have High Stakeholder Consulting Advanced Must-Have High Data Governance & QA Intermediate Must-Have High Leadership & Influence Intermediate Must-Have Medium Training & Enablement Intermediate Good-to-Have Medium 4. Day-to-Day Deliverables Will Include Designing and reviewing dashboards for performance, scalability, and accuracy Standardizing metrics, filters, and visualizations across platforms and markets Troubleshooting data discrepancies and establishing QA protocols Supporting onboarding of new clients or business units into the reporting framework Publishing playbooks and SOPs on reporting automation and delivery standards Conducting stakeholder walkthroughs and enablement sessions 5. Key Attributes for Success in This Role Strategic thinker with a hands-on approach to reporting and automation High attention to detail and process consistency Confident in translating business needs into scalable BI solutions Adaptable to changing client needs, tools, and data environments Collaborative, yet assertive in driving reporting excellence 6. Essential Tools/Platforms & Certifications Tools : Power BI, Advance Excel, Redshift , Alteryx (basics) Certifications : Power BI/Tableau Professional, , Data Engineering/ETL certifications – Preferred

USI Assistant Manager, Finance Business Partner Are you ready to apply your financial and analytical skills in a dynamic environment? Are you looking for an exciting opportunity to be a strategic business advisor to executive leaders? If so, Deloitte could be the place for you! Join our team of experienced financial professionals who support financial planning and analysis for the Finance Business Partners (FBP) in a fast-paced business climate. If you are seeking a role that offers you the opportunity to develop personally and professionally, consider a career with the CFO Finance & Administration Enabling Area / Real Estate Occupancy FBP group at Deloitte. The team and the role The Financial Planning & Analysis (FP&A) organization supports our business, market and enabling area leaders by providing world class financial support. FP&A is made up of advisors who are influential in decision-making and partner with finance leaders to drive meaningful strategic and financial outcomes. Within FP&A, the FBP organization works with business leaders to translate strategy into actionable plans, leverage in-depth analysis to provide the story behind the numbers and respond to business changes with agility. The FBP USI Assistant Manager role supports the CFO Finance & Administration Enabling Area / Real Estate Occupancy FBP group and specific responsibilities and qualifications for this role are outlined below. This role provides financial support for Real Estate Occupancy, Capital reporting and wide variety of ad-hoc analyses for over 170 locations in the U.S. and India. Work you’ll do Core responsibilities Support the development of plans, forecasts, budgets, and analytics for Real Estate Occupancy leadership Perform research on the external environment, including economic, government, technological and competitive influences and identify potential impacts on the organization Develop meaningful, actionable insights, advice, and recommendations for financial projects and initiatives (acquisitions, investments, etc.); including perspective on historic and future financial performance (e.g., investment, profit, etc.) Analyze investments and financial performance to explain business drivers to leadership Perform advanced analytics to synthesize data into meaningful terms and identify relationships or trend Identify opportunities to improve management reporting within FBP and support implementation Support FP&A and broader Finance & Administration (FA) internal change programs focused on driving efficiencies and effectiveness Other responsibilities Develop project plans and timelines, track progress through milestones and metrics, and collaborate cross-functionally with firm leadership, Business leadership, FP&A teams (e.g., Finance Business Partners), and additional teams (e.g., Talent, Strategy) Develop executive level presentations to communicate and achieve consensus for recommendations Build supporting materials that assist leaders and stakeholders in the decision-making process Support leaders in strategic activities and engage in stretch opportunities aligned with professional development goals and strengths Qualifications Required: Bachelor’s degree in Finance, Accounting, or related subject Minimum of 6+ years of relevant Finance experience Demonstrated accomplishments in the following areas: Financial reporting and analysis Planning and forecasting Project management Data analysis, management, and visualization Advanced in Microsoft Office (Excel, PowerPoint, Outlook, Teams) Preferred: Advanced education degree a plus Experience in a professional services firm is a plus Work with senior leadership Awareness of data visualization tools (Tableau, Power BI) Foundational knowledge of financial systems (SAP, Anaplan) Location: Hyderabad Shift timing: 2pm to 11pm IST Our purpose Deloitte’s purpose is to make an impact that matters for our people, clients, and communities. At Deloitte, purpose is synonymous with how we work every day. It defines who we are. Our purpose comes through in our work with clients that enables impact and value in their organizations, as well as through our own investments, commitments, and actions across areas that help drive positive outcomes for our communities. Our people and culture Our inclusive culture empowers our people to be who they are, contribute their unique perspectives, and make a difference individually and collectively. It enables us to leverage different ideas and perspectives, and bring more creativity and innovation to help solve our clients' most complex challenges. This makes Deloitte one of the most rewarding places to work. Professional development At Deloitte, professionals have the opportunity to work with some of the best and discover what works best for them. Here, we prioritize professional growth, offering diverse learning and networking opportunities to help accelerate careers and enhance leadership skills. Our state-of-the-art DU: The Leadership Center in India, located in Hyderabad, represents a tangible symbol of our commitment to the holistic growth and development of our people. Explore DU: The Leadership Center in India. Benefits to help you thrive At Deloitte, we know that great people make a great organization. Our comprehensive rewards program helps us deliver a distinctly Deloitte experience that helps that empowers our professionals to thrive mentally, physically, and financially—and live their purpose. To support our professionals and their loved ones, we offer a broad range of benefits. Eligibility requirements may be based on role, tenure, type of employment and/ or other criteria. Learn more about what working at Deloitte can mean for you. Recruiting tips From developing a stand out resume to putting your best foot forward in the interview, we want you to feel prepared and confident as you explore opportunities at Deloitte. Check out recruiting tips from Deloitte recruiters. Requisition code: 307868