527 Advanced Analytics Jobs - Page 6

As the Spares/Services Procurement at Micron Technology, you will play a crucial role in developing procurement strategies for Spares and Services, leading global initiatives, and driving innovation in advanced analytics and artificial intelligence. Your responsibilities will include aligning team and individual goals with corporate business objectives, ensuring high performance within the team and department, and implementing transformative category initiatives. You will be tasked with driving the adoption of Advanced Analytics and Artificial Intelligence in FE Spares, leveraging digital dexterity for Spares digital business transformation, enabling savings opportunities through data visualization and business intelligence, and conducting data-driven analysis. Your strong business acumen and industry knowledge will be essential in connecting leadership and stakeholder data needs. Managing supplier relationships will be a key aspect of your role, where you will act as the primary point of contact for assigned suppliers and projects, perform commercial supplier qualification activities, maintain collaborative relationships with suppliers, and ensure compliance with Micron's business ethics and safety policies. You will also communicate key supplier management updates to various levels within the organization and provide the voice of the supply base to Micron. Interface with stakeholders, partners, and suppliers on category strategies will be crucial in driving buy-in to global strategies, escalating issues when necessary, and communicating sourcing goals and initiatives. You will collaborate with stakeholders to deliver strategic solutions, maintain expertise in spend categories, monitor stakeholder satisfaction, and manage conflicts effectively. Additionally, you will provide advice to senior and executive management on strategic decisions related to the category. Micron Technology, Inc. is a leading industry player in memory and storage solutions, focusing on transforming how information is used to enrich life. With a strong emphasis on technology leadership, operational excellence, and customer satisfaction, Micron delivers high-performance memory and storage products through its Micron and Crucial brands, driving innovations in artificial intelligence and 5G applications. To know more about Micron Technology, Inc., please visit micron.com/careers. For assistance with the application process or reasonable accommodations, contact hrsupport_india@micron.com. Micron strictly prohibits the use of child labor and complies with all relevant laws, regulations, and international labor standards.,

As a Senior Graphic Designer at Omnicom Global Solutions (OGS) in Bengaluru/Gurugram/Hyderabad, you will be part of a dynamic team dedicated to delivering innovative solutions in the healthcare marketing and communications space. With 6-8 years of experience in design, you will play a key role in assessing creative briefs, ideating unique concepts, and building layouts that align with client strategies and goals. Your ability to work efficiently, meet deadlines, and adhere to brand guidelines and regulatory requirements will be essential in delivering high-quality work that reflects Snow Companies" professionalism. You will collaborate closely with team members, adapt designs based on client feedback, and stay updated on industry trends to ensure fresh and effective design solutions. Your strong foundation in Figma, Adobe Photoshop, Adobe Illustrator, and Adobe InDesign, along with your experience in working with Healthcare/Pharma brands, will be valuable assets in this role. Additionally, your excellent communication skills, ability to work in a fast-paced environment, and openness to feedback will contribute to a positive and engaging work environment. Join us at OGS-OH partnership and be part of a growing community that combines creativity, technology, and data-driven insights to transform the healthcare industry. Unlock diverse learning opportunities, personalized talent development programs, and rewarding career growth while empowering some of the world's most iconic brands with Knowledge, Innovation, and Transformation. Let's build a healthier future together!,

Experience: 5-10 Years Mode: WFO ( 5 Days ) Job Location: Bangalore Job Type: Full Time Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 5 - 10 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Department IT Department Role Functional

This website uses cookies to ensure you get the best experience. Talent Smart and our selected partners use cookies and similar technologies (together cookies ) that are necessary to present this website, and to ensure you get the best experience of it. If you consent to it, we will also use cookies for analytics and marketing purposes. You can withdraw and manage your consent at any time, by clicking Manage cookies at the bottom of each website page. Decline all non-necessary cookies Select which cookies you accept On this site, we always set cookies that are strictly necessary, meaning they are necessary for the site to function properly. If you consent to it, we will also set other types of cookies. You can provide or withdraw your consent to the different types of cookies using the toggles below. You can change or withdraw your consent at any time, by clicking the link Manage Cookies , that is always available at the bottom of the site. These cookies are necessary to make the site work properly, and are always set when you visit the site. These cookies collect information to help us understand how the site is being used. These cookies are used to make advertising messages more relevant to you. In some cases, they also deliver additional functions on the site. Decline all non-necessary cookies Experience: 10-15 Years Mode: WFO ( 5 Days ) Job Location: Bangalore Job Type: Full Time Minimum 5 years of experience in designing and developing AI/ML models and/or various optimization algorithms. 10- 15 years of experience Solid foundation in mathematics, probability, and statistics with demonstrated depth of knowledge and experience in advanced analytics and data science methodologies (e.g. supervised and unsupervised learning, statistics, data science model development) Proficiency in Python and working knowledge of cloud AI/ML services (Azure Machine Learning and Databricks preferred) Domain knowledge relevant to the energy sector and working knowledge of Oil and Gas value chain (e.g., upstream, midstream, or downstream) and associated business workflows. Proven ability to frame data science opportunities, leverage standard foundational tools and Azure services to perform exploratory data analysis (for purposes of data cleaning and discovery), visualize data, and identify actions to reach needed results. Ability to quickly assess current state and apply technical concepts across cross-functional business workflows. Experience with driving successful execution, deliverables, and accountabilities to meet quality and schedule goals. Ability to translate complex data into actionable insights that drive business value. Demonstrated ability to engage and establish collaborative relationships both inside and outside immediate workgroup at various organizational levels, across functional and geographic boundaries to achieve desired outcomes. Demonstrated ability to adjust behaviour based on feedback and provide feedback to others. Team-oriented mindset with effective communication skills and the ability to work collaboratively. Role INR2,500,000 - INR4,000,000 About Talent Smart Talent Smart Soft Solutions is a software development company that offers IT services and solutions to various sectors in India, both public and private. We partner with Fortune 50 companies and startups alike, helping them digitalize, strengthen, and revolutionize their businesses. Our professionals are dedicated to supporting clients in shaping their future through our comprehensive software development services.

As a Digital Marketing Specialist at Braincuber Technologies, you will be responsible for comparing your company's advertising techniques and offerings with those of competing businesses. Your role will involve maintaining a profitable message for the company, conducting research to ensure that offerings are priced competitively to provide value to potential clients while ensuring the company's success. Monitoring changing trends in advertising consumption data, ensuring that clients and consumers view the company's advertising projects, and make purchases will be essential tasks. To excel in this role, you should possess a bachelor's or master's degree in computer science, information technology, or a related field. Prior experience in planning, designing, developing, architecting, and deploying cloud applications on AWS platforms is required. Knowledge of fundamental AWS services, applications, and best practices for AWS architecture is crucial. You should also have practical expertise in various disciplines like database architecture, business intelligence, machine learning, advanced analytics, big data, Linux/Unix administration, Docker, Kubernetes, and working with cross-functional teams. Your responsibilities will include understanding the organization's current application infrastructure, proposing enhancements or improvements, defining best practices for application deployment and infrastructure upkeep, collaborating with the IT team on web app migrations to AWS, implementing low-cost migration techniques, developing reusable and scalable programs, and performing software analysis, testing, debugging, and updating. Additionally, you will create serverless applications using multiple AWS services, examine and evaluate programs to identify technical faults, and recommend solutions. If you have experience with Agile methodologies and possess AWS credentials or other professional certifications, we would like to meet you. Join our team at Braincuber Technologies and be part of a dynamic environment where your skills will contribute to the company's success.,

As an Analyst-Regulatory Compliance Artificial Intelligence and Analytics at HSBC, you will play a crucial role in promoting a culture of data-driven decision-making and managing regulatory risk effectively through the adoption of data science. Your responsibilities will include reporting RC AI & Analytics scorecard, aligning decisions with the long-term vision, and engaging stakeholders to enhance understanding and adoption of data science products. Collaboration with various analytics teams across the bank, sharing insights, and fostering an open and agile delivery culture will be key aspects of your role. You will also work closely with stakeholders within IT and Product management to deliver innovative analytical solutions that meet business demands. Additionally, ensuring the effective operation of the control framework and establishing the function as a valuable asset in the bank's response to compliance risk will be part of your responsibilities. To excel in this role, you should possess strong interpersonal and communication skills, experience in managing global teams, and the ability to work independently on complex business problems while keeping stakeholders informed. Your client-focused approach, relationship-building skills, and analytical abilities will be essential for success. Effective communication, sound judgment, critical thinking, and the ability to manage multiple tasks with continual prioritization are also required. If you are looking to contribute to impactful decision-making, drive innovation, and play a pivotal role in enhancing regulatory compliance through data science at HSBC, this opportunity is for you. Join HSBC and be part of a team where your skills and expertise will be valued, and where you can make a real difference.,

As a Warehouse Team Lead at Reckitt, you will be at the forefront of warehouse operations excellence. Your role will be crucial in enhancing supply chain effectiveness and ensuring that all aspects of warehouse operations contribute to outstanding results. Your leadership will inspire a team of Warehouse Operatives, driving projects that deliver cost savings while upholding the highest standards. At Reckitt, you will be valued for your growth and impact well beyond the warehouse walls. Your responsibilities will include collaborating with the Warehouse Manager and 3PL partners to drive improvement in distribution KPIs such as safety, quality, service, inventory, and cost/productivity. You will supervise and develop a team of Warehouse Operatives to create an environment of continuous improvement and efficiency. Analyzing and enhancing Standard Operating Procedures (SOPs) to streamline warehouse processes will also be part of your role. Additionally, you will manage warehousing, distribution, and maintenance operations in compliance with company policies and vision, while maintaining high standards of health and safety, hygiene, and security within the warehouse environment. Implementing, coordinating, and monitoring operational policies and procedures to ensure optimal efficiency and space utilization will be key responsibilities. The ideal candidate will have proven experience in warehouse operations and inventory management, along with proficiency in continuous improvement strategies focusing on efficiency and cost savings. Strong interpersonal skills, the ability to build partnerships, manage relationships effectively, and a sound understanding of Supply Chain Management and warehousing KPIs are essential. Expertise in utilizing warehouse management systems and databases, an analytical mind for identifying process improvement opportunities using data, and various skills such as Supply Chain Management, Business Partnership, Collaboration, Project Management, and Data Analytics will be beneficial for success in this role. At Reckitt, inclusion is at the heart of everything we do, and we support our employees at every step of their career journey. We hire for potential as well as experience, recognizing that great people don't always "tick all the boxes". So, even if you don't meet every point on the job description, if this role and our company resonate with you, we encourage you to apply and be a part of our team dedicated to making a cleaner, healthier world.,

You will be joining Reckitt, home to some of the world's most beloved and trusted hygiene, health, and nutrition brands. Our purpose is to protect, heal, and nurture in our continuous pursuit of a cleaner, healthier world. As a part of our global team, united by this purpose, you will contribute to making high-quality hygiene, wellness, and nourishment accessible to all as a right, not a privilege. In the realm of Information Technology & Digital, you will play a crucial role in championing cyber security, leveraging technology to enhance our business operations, and utilizing data to drive innovation in products that consumers love. Working across functions on a global scale, you will take ownership of projects from inception to completion, with the ability to influence and make a significant impact. By sharing your ideas, you will receive the necessary support and resources to bring them to fruition. Your potential will be nurtured and valued. You will have the space and encouragement to enhance your skills and expertise continually. Each day will present opportunities to learn from peers and leaders, engaging in diverse projects with real-world implications. As our work spans various sectors, from Research and Product Development to Sales, you will be exposed to novel approaches and experiences. ### About The Role As an IT&D Solution Architect, you will be responsible for leading solution design activities within the IT Manufacturing product teams. Your role will involve ensuring alignment with the overall Enterprise Architecture and product stream strategy. By offering technical leadership, analysis, and design expertise, you will contribute to the development of products within a product group. ### Your Responsibilities - Utilize your technical proficiency to design, architect, develop, and document Manufacturing IT solutions that address complex challenges across projects involving Factory Network, Azure, or SaaS. - Provide technical leadership throughout the design and deployment lifecycle, prioritizing quality in delivery. - Engage in technical discussions on Technical Architecture and facilitate consensus among all stakeholders, including vendors. - Develop Technical Architecture Specification Documents in collaboration with Factory network, Cloud, Product, and Integration Teams. - Offer technical architecture consultancy and design support for projects. - Ensure solutions are delivered in accordance with established business standards, principles, and patterns, particularly concerning Factory Network and Azure Cloud perspectives. - Design end-to-end application architecture (Single or multi-tier) and data security for IaaS, PaaS, and SaaS, integrating with Factory OT Devices. - Guarantee compliance with organizational IT policies, procedures, and standards. ### The Experience We're Looking For - 10+ years of experience in Network, enterprise applications, integration & Solution Designing. - Profound technical expertise in networking (factory and corporate) and infrastructure design, encompassing On-premises, private and public cloud, virtualization, storage & Integration Services. - Demonstrated proficiency in designing and architecting multi-tier Cloud only / Hybrid network, infrastructure, integrations. - Understanding of OT Assets and OT Network integration with Cloud Infrastructure. - Knowledge of Security services and Identity services like Encryption, Active Directory, RBAC, NSGs / ASGs, firewall policies, etc. - Familiarity with Azure Networking services (e.g., VNETs, Load Balancers, Front Door, ExpressRoute, Traffic Manager, Content Delivery Network) and Firewalls. ### The Skills for Success - Product Development - System development - Project Management - Programme Management - Design Thinking - Process Automisation - IT Service Management - Innovation Processes - Innovation - User Experience Design - Change Analyst - Change Management - Digital Transformation - Value Analysis - Change Management - Adoption - Technology Adoption Lifecycle - Stakeholder Relationship Management - Vendor Management - Outstanding Communication - Stakeholder Engagement - Digital Strategy - Product Solution Architecture - Cyber Security Strategy - Cyber Security - Data Privacy - Portfolio Management - Data Governance - Product Compliance - Media Analytics - Advertising - Consumer Engagement - Market Value - Market Chain - Data Driven Practices - Advanced Analytics - Data Analytics - Governance. ### What We Offer - Equality,

You are a global climate technologies company engineered for sustainability, creating sustainable and efficient residential, commercial, and industrial spaces through HVACR technologies. You protect temperature-sensitive goods throughout the cold chain and bring comfort to people globally. Your best-in-class engineering, design, and manufacturing combined with category-leading brands in compression, controls, software, and monitoring solutions result in next-generation climate technology built for the needs of the world ahead. As a professional looking for a career change, an undergraduate student exploring your first opportunity, or a recent graduate with an advanced degree, there are opportunities for you to innovate, be challenged, and make an impact. Join the team and start your journey today! You are seeking a highly motivated Insights Analyst to join the Analytics and Insights team at Copeland. This role will be instrumental in delivering critical insights and decision support to accelerate digital transformation and drive impact across all areas of the business. As an Insights Analyst, you will play a critical role in transforming complex data into clear, actionable insights. By combining advanced analytics with compelling visualizations and storytelling techniques, you will help translate data into narratives that drive business results. You will partner with business leaders to strengthen data literacy across the organization, empowering teams to make informed, data-driven decisions and fostering a culture of analytics-driven innovation. Your commitment to sustainability is evident in everything you do, with a focus on a sustainable future for the current and future generations. Through groundbreaking innovations, HVACR technology, and cold chain solutions, you are reducing carbon emissions and improving energy efficiency in spaces of all sizes, from residential to commercial to industrial. Your employees are your greatest strength, and you believe that your culture of passion, openness, and collaboration empowers everyone to work toward the same goal - to make the world a better place. Investments in the end-to-end development of your people, from onboarding to senior leadership, ensure they can thrive personally and professionally. Flexible and competitive benefits plans offer the right options to meet individual and family needs. You provide employees with flexible time off plans, including paid parental leave (maternal and paternal), vacation, and holiday leave. Together, you have the opportunity and the power to continue revolutionizing the technology behind air conditioning, heating, and refrigeration, and cultivate a better future. Learn more about the company and how you can join the team! Your commitment to inclusion and belonging is strong, cultivating a sense where individuals of all backgrounds and diverse perspectives are embraced and treated fairly to enable a stronger workforce. Employee resource groups play an important role in culture and community building at Copeland. Equal Opportunity Employer.,

We are looking for a highly experienced SAP IBP Functional Expert to join our team at Yara. As the SAP IBP Functional Expert, your primary responsibility will be to optimize the functional aspects of our SAP Integrated Business Planning (IBP) system. You will collaborate closely with business stakeholders to align SAP IBP functionalities with organizational objectives, manage complex configurations, and resolve critical issues. Your role will involve driving strategic initiatives to enhance efficiency and effectiveness across the supply chain. Key Responsibilities: - Lead the functional design, configuration, and enhancement of SAP IBP modules, with a focus on Demand and Supply Planning. - Serve as the primary point of contact for SAP IBP functional issues and escalations. - Utilize advanced analytics and predictive modeling techniques to analyze demand and supply data, identifying opportunities for improvement. - Collaborate with business leaders to translate requirements into system functionalities. - Monitor key performance indicators (KPIs) related to demand planning accuracy and inventory levels, providing actionable insights for continuous improvement. - Drive continuous improvement initiatives and system optimization strategies. - Provide leadership and mentorship to the SAP IBP functional team. - Coordinate with technical teams to ensure seamless integration and performance. - Develop and maintain documentation and best practices for SAP IBP processes. - Manage transport management processes. - Work closely with internal and third-party technical teams to analyze, troubleshoot, and resolve production issues. - Review Quarterly SAP IBP Upgrades and assess their impact on the platform. Profile: Experience: Experience in Demand, Inventory, Supply & Response Modules with an understanding of Integration & S4 Extractors. Experience with advanced analytics and machine learning models in the context of supply chain planning is preferred. Certification in SAP IBP is a plus. Education: Bachelor's degree in supply chain management, Information Systems, or a related field. Master's degree is preferred. Skills: Deep expertise in SAP IBP, including configuration, customization, and optimization. Strong understanding of demand and supply planning processes. Experience leading SAP IBP implementation and upgrade projects. Excellent problem-solving skills and ability to manage complex functional issues. Strong communication skills for interaction with senior management and stakeholders. Leadership experience in mentoring and developing junior team members. Join us at Yara for an innovative work environment that encourages creativity and out-of-the-box thinking. We offer career growth opportunities through tailored training programs, mentorship, and clear pathways for advancement. With flexible working hours, remote work options, and a generous vacation policy, we prioritize work-life balance. Your work will have a direct impact, and our strong company values reflect our commitment to diversity and inclusion. Apply now to be part of a dynamic team at Yara, where your professional development and well-being are our priorities.,

Are you seeking an exciting opportunity to join a dynamic and expanding team in a fast-paced and challenging environment This unique role offers you the chance to collaborate with the Business and provide a comprehensive view as a Vice President within the AI-first Strategic and Market Intelligence team for J.P. Morgan's Commercial & Investment Bank. In this role, you will be responsible for spearheading the establishment of the team, defining its strategic direction, promoting an AI-focused mindset, and utilizing advanced analytics to generate actionable insights. Leading an agile team, you will deliver strategic research and intelligence to the Commercial & Investment Bank Management team, aligning the research strategy with the business priorities of the Commercial & Investment Bank. Your key responsibilities will include defining and driving the research strategy in alignment with the CIB's business priorities, staying updated on AI application developments, fostering a culture of agility in adopting new AI applications, leveraging various data points for trend analysis, and assessing the impact of emerging trends on the business. You will oversee all research deliverables to ensure accuracy, relevance, and actionable recommendations that drive strategic value, while also building a culture of excellence within the team to enhance research deliverables. The qualifications, capabilities, and skills required for this role include an advanced degree in business administration, finance, economics, technology, or a related field, along with a minimum of 10 years of experience in a strategic leadership role. Preferred qualifications include an innovative AI-first mindset, proficiency in modern research tools, knowledge of machine learning techniques, excellent written communication skills, demonstrated success in leading high-performing teams, and senior-level experience in strategy, consulting, or innovation within the financial services industry. Additionally, knowledge of the financial services sector is preferred.,

The Data Science Analyst is a developing professional role within GWFO team. This role applies specialized knowledge in machine learning, statistical modeling, and data analysis to monitor, assess, analyze, and evaluate processes and data. You will identify opportunities to leverage advanced analytics to improve business outcomes, automate processes, and generate actionable insights. Additionally, you will contribute to the development and deployment of innovative AI solutions, including generative AI and agentic AI applications. Working with cross-functional stakeholders, you will gather and process operational data to examine past business performance and identify areas for improvement. Utilizing machine learning techniques, you will identify data patterns and trends, providing insights to enhance business decision-making capabilities in various areas such as business planning, process improvement, and solution assessment. Your responsibilities will include developing and implementing machine learning models for predictive analytics, forecasting, and optimization. You will design, build, and deploy Generative AI solutions to enhance customer experience, automate tasks, and personalize interactions. Furthermore, you will experiment with agentic AI frameworks to create autonomous systems that can learn, adapt, and solve complex problems. Developing tools and techniques to evaluate the performance and impact of AI solutions will be part of your role. You will translate data into consumer or customer behavioral insights to drive targeting and segmentation strategies, communicating findings clearly and effectively to business partners and senior leaders. Continuous improvement is key, and you will explore and evaluate new data sources, tools, and capabilities with a focus on cutting-edge AI technologies. Collaboration with internal and external business partners in building, implementing, tracking, and improving decision strategies will be essential. As a successful candidate, you should ideally have 7+ years of relevant experience in data science, machine learning, or a related field. You should possess advanced process management skills, be organized and detail-oriented, and have a curious mindset for learning and developing new skill sets, particularly in artificial intelligence. Strong programming skills in Python and proficiency in relevant data science libraries such as scikit-learn, TensorFlow, PyTorch, and Transformers are required. Experience with statistical modeling techniques, GenAI solutions, agentic AI frameworks, and data visualization tools like Tableau or Power BI is beneficial. Other essential skills include strong logical reasoning capabilities, willingness to learn new skills, and good communication and presentation skills. A Bachelors/University degree or equivalent experience is necessary for this role.,

At PwC, we focus on leveraging data to drive insights and make informed business decisions. Our team in data and analytics utilizes advanced analytics techniques to help clients optimize their operations and achieve strategic goals. As a professional in data analysis at PwC, you will focus on utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to support clients in solving complex business problems. As you grow as a strategic advisor, you will leverage your influence, expertise, and network to deliver quality results. You will motivate and coach others to come together to solve complex problems. With increasing autonomy, you will apply sound judgment, recognizing when to take action and when to escalate. Your ability to solve through complexity, ask thoughtful questions, and clearly communicate how things fit together will be essential. Developing and sustaining high-performing, diverse, and inclusive teams, along with a commitment to excellence, will contribute to the success of our firm. Examples of the skills, knowledge, and experiences you need to lead and deliver value at this level include but are not limited to: - Crafting and conveying clear, impactful, and engaging messages that tell a holistic story. - Applying systems thinking to identify underlying problems and/or opportunities. - Validating outcomes with clients, sharing alternative perspectives, and acting on client feedback. - Directing the team through complexity, demonstrating composure through ambiguous, challenging, and uncertain situations. - Deepening and evolving your expertise with a focus on staying relevant. - Initiating open and honest coaching conversations at all levels. - Making difficult decisions and taking action to resolve issues hindering team effectiveness. - Modeling and reinforcing professional and technical standards, the firm's code of conduct, and independence requirements. **Job Role:** Accounting Systems Senior Manager **Experience:** Professional with implementation exposure or 10+ years of experience in Financial Transformation/Finance System Implementation (e.g., Revenue Recognition (ASC 606), Zuora Billing and subscription understanding and exposure, Quote to cash, Revenue Assessment and Analytics, Revenue Automation, Sub Ledger Implementation, Consulting) **Location:** Kolkata, Bangalore, Mumbai, Hyderabad, Gurgaon **Job Summary:** As a Senior Manager in our Enterprise Risk and Regulatory vertical within the Advisory practice, you will have the opportunity to address financial reporting risk by helping the team implement and understand subledgers and rules engines that generate accounting entries posting to the General Ledger, and how quote to cash processes are implemented and designed across systems. **Job Description:** As a Senior Manager, you will work as part of a team of problem solvers with extensive consulting and industry experience, helping clients solve complex business issues from strategy to execution. You will lead a team of ASC 606 implementations using Zuora and similar tools, working on end-to-end implementation from proposal building to UAT in collaboration with the US team and end clients. Specific responsibilities include but are not limited to: - Implementing end-to-end ASC 606 revenue automation solutions - Providing support to clients for accounting standards compliance - Assisting various teams in implementing systems like Revenue Automation, Leasing standard system, Billing/subscription system, etc. - Implementing CPQ and Billing/Subscription systems in the order/quote to cash cycle - Working on projects involving implementing/testing on ERP or home-grown accounting systems - Developing use cases, test cases, and test results as per business requirements - Providing solutions for end-to-end implementation and integration with client systems, including unit and system testing to validate analytic procedures against expected results - Being an effective communicator, keeping the project team updated on status **General:** - Communicating clearly in writing, speaking, and presenting to project stakeholders - Collaborating effectively with a geographically dispersed team - Being responsive to client demands, project deadlines, and defect discovery and resolution - Utilizing effective time management, especially in prioritizing tasks in collaboration with team members **Skills:** **Must Have:** - Accounting/Engineering background and basic understanding of US GAAP/IFRS - Exposure to transformation projects - Project and team management experience - Stakeholder management experience - Ability to connect and build professional relations with senior stakeholders - Understanding of accounting processes and systems - Good knowledge of Revenue Recognition tools like Zuora Rev Pro, RevPro, RecVue, RigthRev - Good knowledge of POB, Accounting Setup, and Data Augmentation - Knowledge of Period Close and reconciliation - Exposure to development skills, SQL or PL/SQL - Good communication skills, stakeholder management, and status reporting experience **Good To Have:** - Zuora technical background - ASC 606 (US GAAP)/IFRS 15 exposure - Exposure to Order-to-cash implementation - Experience in data integrations - Consulting background **Preferred Qualifications:** B.Tech/Chartered Accountant/CPA (US)/ACCA/MBA (Finance)/B.Com/M.Com,

Business Analyst The Business Analyst will work closely with Salesforce and Sales Operations team. You will be responsible for providing operational and strategic level analytical support to various Business Units at Zeta Global. The successful applicant will be able to demonstrate excellent judgement, work well under pressure, prioritize effectively, and work collaboratively with stakeholders across the company. Primary Job Duties & Responsibilities Update Financials Models that bring together: Closed Won sales to Income Statement Revenue and other sales driven metrics to understand the trends in the sales organization Ability to interpret data and turn it into insights for the business (trending, forward looking, metrics) Preparing reports and presenting to Sales Management, Business Unit Leaders and Finance Leadership Determine and recommend data to include in analytical projects and provide insights to business partners Create and present data visualization techniques to help support data exploration Lead the operationalizing and automation of complex data (more systems, data sets and streams, size of data sets more substantial) products into business Present and translate information in relevant business terms Understands and supports data models across multiple lines of business Understands how sales information is interrelated based on how the business and sales runs Reconciling data and loading information into Salesforce and other data models Ability to partner and work with various business partners Education, Work Experience, & Knowledge Undergraduate in Finance, Business, Accounting or Analytics preferred, or equivalent degree or certification 2-4 years of experience with data analysis, modeling and analytics Understands how to reconcile data and analyze it for trends Experience with using Salesforce preferred Advanced skills in using various technologies to assist in data analysis, including: Tableau (beginner), Excel (pivot tables, V-Lookup) Ensures the business meaning behind the data is clear to end users, and addresses any needed clarifications in a timely manner Understands functional use cases and readily extrapolates them into data requirements Understands how business data can change overtime to ensure this is considered in functional use cases, development, and testing Ensures historical data considerations are discussed when the team delivers new capabilities

Looking for a data/analytics pro with 4+ yrs exp (or 6+ yrs without relevant degree), hands-on in SQL & SAS, strong in stats, data-driven strategy, Excel/PowerPoint storytelling. NP upto 60 days. Contact\Whatsapp:+9182973 51110/shashi@livecjobs.com Required Candidate profile Minimum 4 years of experience in analytics or data science. Ideal candidate should have a minimum of 4 years in SQL and SAS programming. Along with 3 years of experience in using data and analytics

Job Summary: We are looking for a results-driven and detail-oriented Assistant Manager Advanced Analytics to support data-driven decision-making across key business functions. This role involves working closely with cross-functional teams to deliver actionable insights through advanced data analysis, statistical modeling, and data visualization. Key Responsibilities: Partner with business stakeholders to understand challenges and translate them into analytical solutions. Conduct advanced data analysis to identify trends, patterns, and opportunities for business growth and process optimization. Build dashboards, KPIs, and visualizations using tools like Power BI, Tableau, or Looker. Work on predictive modeling and statistical techniques to support initiatives in marketing, operations, finance, and product. Assist in building scalable data models and pipelines in collaboration with data engineering teams. Present analytical findings and recommendations clearly to senior management. Monitor performance metrics and drive continuous improvement based on insights. Required Skills: Strong analytical and problem-solving capabilities with business acumen. Proficiency in SQL and hands-on experience with Python or R for data analysis. Experience with data visualization tools such as Power BI , Tableau , or Qlik . Solid understanding of statistical modeling , predictive analytics , and machine learning techniques . Familiarity with cloud platforms (AWS, GCP, Azure) and working with large datasets. Excellent communication and stakeholder management skills. Preferred Qualifications: Bachelors/Masters degree in Statistics, Mathematics, Computer Science, Economics, or a related field. Prior experience in retail, BFSI, e-commerce, or consumer tech analytics. Experience working with tools like Excel, Jupyter, Git , and collaborative platforms (e.g., Jira, Confluence).

Job Title - + + Management Level: Location:Kochi, Coimbatore, Trivandrum Must have skills:Big Data, Python or R Good to have skills:Scala, SQL Job Summary A Data Scientist is expected to be hands-on to deliver end to end vis a vis projects undertaken in the Analytics space. They must have a proven ability to drive business results with their data-based insights. They must be comfortable working with a wide range of stakeholders and functional teams. The right candidate will have a passion for discovering solutions hidden in large data sets and working with stakeholders to improve business outcomes. Roles and Responsibilities Identify valuable data sources and collection processes Supervise preprocessing of structured and unstructured data Analyze large amounts of information to discover trends and patterns for insurance industry. Build predictive models and machine-learning algorithms Combine models through ensemble modeling Present information using data visualization techniques Collaborate with engineering and product development teams Hands-on knowledge of implementing various AI algorithms and best-fit scenarios Has worked on Generative AI based implementations Professional and Technical Skills 3.5-5 years experience in Analytics systems/program delivery; at least 2 Big Data or Advanced Analytics project implementation experience Experience using statistical computer languages (R, Python, SQL, Pyspark, etc.) to manipulate data and draw insights from large data sets; familiarity with Scala, Java or C++ Knowledge of a variety of machine learning techniques (clustering, decision tree learning, artificial neural networks, etc.) and their real-world advantages/drawbacks Knowledge of advanced statistical techniques and concepts (regression, properties of distributions, statistical tests and proper usage, etc.) and experience with applications Hands on experience in Azure/AWS analytics platform (3+ years) Experience using variations of Databricks or similar analytical applications in AWS/Azure Experience using business intelligence tools (e.g. Tableau) and data frameworks (e.g. Hadoop) Strong mathematical skills (e.g. statistics, algebra) Excellent communication and presentation skills Deploying data pipelines in production based on Continuous Delivery practices. Additional Information Multi Industry domain experience Expert in Python, Scala, SQL Knowledge of Tableau/Power BI or similar self-service visualization tools Interpersonal and Team skills should be top notch Nice to have leadership experience in the past Qualification Experience:3.5 -5 years of experience is required Educational Qualification:Graduation (Accurate educational details should capture)

We have a suitable opportunity in the Beauty Tech division for the position of Data Product Manager Data Engineering & Data Science to join our expanding Data Analytics Domain team . This critical role will shape the future of data-driven decisions at LOral, leveraging data engineering, machine learning, and advanced analytics to deliver innovative customer experiences. The location of the job will be in Mumbai HO. Key Responsibilities: As Data Product Manager: Data Engineering & Data Science , you will own the product vision, strategy, and roadmap for our internal data & analytics tools and machine learning product capabilities. You will act as the tech partner between business stakeholders and data engineering, data science and design teams bringing cutting-edge data products to life. This requires a deep understanding of LOrals business objectives, translating them into functional, user-friendly solutions. Strategy & Roadmap: Define and champion the technology vision, strategy, and roadmap for data analytics products & use cases with diverse complexities that include Dashboards, Reports to complex data products, incorporating machine learning and Generative AI. This includes identifying market opportunities, defining target audiences, and prioritizing product features. Requirements & Analysis: Collaborate with stakeholders across business units (Commerce, Transformation, Marketing, Supply Chain, etc.) to gather and analyze requirements, translating user needs into detailed product specifications. Development & Execution: Oversee the entire product lifecycle from ideation to launch ensuring timely and efficient delivery of high-quality products by working closely with data engineering, design, and QA teams. Data Platform Run & Change Management: Manage the current data platform for the consistency on the performance and run mode with the necessary updates on day-to-day basis and do the necessary updates and compliance on uptime. Stakeholder Management: Ensure alignment by communicating product updates, roadmap changes, and strategic decisions to key stakeholders. Cultivate strong cross-functional relationships to foster collaboration and drive product success. Data Analysis & Insights: Leverage data analysis to track product performance, measure key metrics, and identify areas for continuous improvement. Machine Learning Expertise: Possess a solid understanding of machine learning concepts, algorithms, and applications to effectively guide the development of ML-powered products. Key Competencies: Highly driven and technically proficient program/delivery manager with proven experience. Excellent stakeholder management skills with an ability to work in a cross-functional environment Excellent planning, organizational, and time management skills. Strong communication and collaboration skills managing key stakeholders, vendors and partners in business and IT (Data). A proactive, make it happen temperament with operational excellence and agility Physical Demands (e.g. % travel): Travel may be need based Qualification: Bachelors degree in computer science, Engineering, Business, Statistics, or a related field. Master's degree preferred. 8+ years of product management experience focused on data analytics, business intelligence, or machine learning products. Proven track record of launching and managing data-driven products within cloud environments, specifically GCP (BigQuery, Data Studio, BQML, SQL, PowerBI). Exceptional analytical, problem-solving, communication, presentation, and interpersonal skills. Strong understanding of machine learning concepts, algorithms, and their application within the GCP AI/ML ecosystem. Experience with Agile development methodologies. A passion for the beauty and cosmetics industry.

Job Summary: We are seeking a highly analytical and business-savvy Lead Business Analyst Advanced Analytics to drive data-driven decision-making across key business functions. This role involves close collaboration with data science, product, technology, and business teams to define problems, extract insights, and translate analytical findings into actionable strategies. Key Responsibilities: Work closely with stakeholders to understand business objectives and translate them into analytical problems. Lead the development of dashboards, KPIs, and performance metrics using advanced analytics techniques. Analyze large, complex datasets to identify trends, patterns, and insights that drive strategic decisions. Collaborate with Data Scientists and Engineers to build predictive models and machine learning solutions. Drive adoption of analytics tools and insights across business teams to improve operational efficiency. Present clear, concise, and actionable insights to senior leadership and key stakeholders. Act as a mentor to junior analysts and help build best practices within the analytics team. Ensure data integrity, governance, and compliance in all analytics projects.

About TresVista TresVista is a global enterprise offering a diversified portfolio of services that enables its clients to achieve resource optimization through leveraging an offshore capacity model. TresVista's services include investment diligence, industry research, valuation, fund administration, accounting, and data analytics. TresVista has more than 1,800 employees across offices in North America, Europe and Asia, providing high-caliber support and operating leverage to over 1,000 clients across geographies and asset classes, including asset managers, advisors, corporates and entrepreneurs. Overview This role shall strategize, implement, and monitor data analysis technology to improve productivity, operational efficiency, and deliver insights. You will be expected to drive adoption of Business Intelligence tools within the organization. In this role, you would drive the roadmap and strategic business objectives for the Business Intelligence division. The role shall also oversee organization automation and AI initiatives. You shall balance the risks presented by Generative AI and Predictive AI, help define our technical architecture and ensure effective execution through prioritization and governance, and build an industry leading team through recruitment, training, and development. Roles and Responsibilities Building Data Lake: a. Architecting enterprise data lake b. Evaluating and finalizing tech stack for data lake c. Leading initiatives to deliver data lake d. Designing and implementing data governance framework Developing data visualization: a. Understanding decisioning situation and map it to analytics needs b. Defining, designing, and conceptualizing projects of data visualization c. Ensuring the overall user experience is considered when designing deploying innovative solutions and services Leveraging Advance Analytics and AI: a. Identifying opportunities of leveraging predictive technology to automate decisions b. Driving initiatives around generative AI applications, exploring new use cases like content automation, conversational interfaces, and dynamic product features c. Designing, developing, and deploying AI including NLP models for tasks such as text classification, sentiment analysis, machine translation, and question answering Project Implementation and management: a. Presenting project and securing approvals b. Launching project, executing then, and doing project management for Business Intelligence vertical c. Recording product defects, analyzing requirements and work on impact analysis of planned features d. Gathering Product Data including user behavior, web analytics, product usage, KPIs/KRA for feature(s) and synthesizing insights Prerequisites Strong understanding of data science concepts, machine learning, and advanced analytics Experience in managing technical teams to deliver Data solutions, incl. acquisition, curation, catalogue registration, data product life cycle and data producer and consumer journeys and usage patterns Experienced with planning, estimating, organizing, and delivering on multiple projects Ability to articulate solutions and process designs clearly Strong knowledge of data integration (ETL), data quality (DQ), data governance, iPaaS (APIs, micro services, application Integration) and Big Data Good web development background (SQL, RDBMS, Java, HTML5, NET) is a plus Good understanding of Machine Learning tools and its usage such as Python/R Experience Candidate should have at least 12 - 18 years of hands-on experience in data science, analytics and machine learning with at least 5+ years in a leadership role Excellent leadership, communication and collaboration skills with a proven ability to align AI initiatives with business goals and deliver measurable outcomes Strategic thinking, problem-solving and a strong team player Education A bachelor/master's degree from a Tier I institute or a Ph.D. in data science, computer science, statistics, mathematics, machine learning or a related quantitative field is preferred Compensation The compensation structure will be as per industry standards

As a part of Infosys Consulting, you will collaborate with a global team to deliver business consulting services to clients across various regions. You will be involved in diverse roles encompassing process consulting, functional consulting, technology strategy, program management, and change management. Utilizing your analytical skills, you will analyze complex problems and devise innovative solutions. Your responsibilities will include applying business consulting frameworks and methodologies to address client issues, ensuring the successful delivery of business outcomes. Furthermore, you will lead workshops, engage with client stakeholders, and contribute to sales pursuits and internal initiatives to drive firm growth. We seek individuals who possess a consulting mindset, strong analytical capabilities, a competitive spirit, and an entrepreneurial drive. The ideal candidates will have prior relevant work experience, excel in challenging environments, and demonstrate a passion for enhancing the competitiveness of businesses. A blend of business acumen and technological proficiency is essential, along with exceptional verbal and written communication skills. Candidates should exhibit the ability to swiftly identify complex business issues and prioritize root causes with confidence. At Infosys Consulting, we prioritize the recruitment of consultants who seamlessly blend into our dynamic yet professional work environment, valuing traits such as intellectual curiosity, proactiveness, and entrepreneurial spirit.,

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Basis Administration Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 5 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will be involved in designing, building, and configuring applications to meet business process and application requirements. Your typical day will revolve around creating innovative solutions to address various business needs and ensuring seamless application functionality. Roles & Responsibilities:- Expected to be an SME- Collaborate and manage the team to perform- Responsible for team decisions- Engage with multiple teams and contribute on key decisions- Provide solutions to problems for their immediate team and across multiple teams- Lead and mentor junior team members- Stay updated on industry trends and best practices- Contribute to continuous improvement initiatives Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Basis Administration- Good To Have Skills: Experience with AAAP (Accenture Advanced Analytics Platform)- Strong understanding of SAP architecture and infrastructure- Experience in SAP system monitoring and performance tuning- Knowledge of SAP security and authorization concepts- Ability to troubleshoot and resolve SAP system issues Additional Information:- The candidate should have a minimum of 5 years of experience in SAP Basis Administration.- This position is based at our Hyderabad office.- A 15 years full-time education is required. Qualification 15 years full time education

Salary: 15 to 30 LPA Exp: 3 to 8 years Location: Gurugram/Bangalore Notice period: Immediate to 30 days..!! Roles and Responsibilities Develop market mix models using MMM, SAS, and other tools to drive business growth. Conduct customer segmentation and market basket analysis to inform marketing strategies. Collaborate with cross-functional teams to develop predictive models for campaign optimization. Provide insights on retail analytics, marketing analytics, and advanced analytics to support business decisions. Work closely with stakeholders to identify key performance indicators (KPIs) and develop data-driven solutions. Desired Candidate Profile 3-8 years of experience in Market Mix Modelling/MMM models development. Strong proficiency in Python programming language and its applications in analytics. Experience with CPG industry knowledge is preferred but not mandatory. Proficiency in SAS or similar statistical software for data manipulation and analysis.

Salary: 20 to 35 LPA Exp: 5 to 10 years Location: Bangalore/Gurgaon Notice: Immediate only..!! Key Skills: SQL, Advance SQL, BI tools, ETL etc Roles and Responsibilities Extract, manipulate, and analyze large datasets from various sources such as Hive, SQL databases, and BI tools. Develop and maintain dashboards using Tableau to provide insights on banking performance, market trends, and customer behavior. Collaborate with cross-functional teams to identify key performance indicators (KPIs) and develop data visualizations to drive business decisions. Desired Candidate Profile 6-10 years of experience in Data Analytics or related field with expertise in Banking Analytics, Business Intelligence, Campaign Analytics, Marketing Analytics, etc. . Strong proficiency in tools like Tableau for data visualization; Advance SQL knowledge preferred. Experience working with big data technologies like Hadoop ecosystem (Hive), Spark; familiarity with Python programming language required.

Credit Saison India, established in 2019, is a rapidly growing Non-Bank Financial Company (NBFC) lender in India. The company operates in wholesale, direct lending, and tech-enabled partnerships with Non-Bank Financial Companies (NBFCs) and fintechs. With a tech-enabled model and underwriting capability, Credit Saison India facilitates lending at scale to meet India's credit needs, particularly in underserved populations. Committed to long-term growth as a lender in India, Credit Saison India focuses on providing financial solutions to MSMEs, households, and individuals. The company is registered with the Reserve Bank of India (RBI) and holds an AAA rating from CRISIL and CARE Ratings. With 45 physical offices, 1.2 million active loans, an AUM exceeding US$1.5B, and around 1,000 employees, Credit Saison India is dedicated to evolving its offerings to create a positive impact. As part of Saison International, a global financial company, Credit Saison India aims to bring together people, partners, and technology to develop innovative financial solutions. Saison International operates across various countries, including Singapore, India, Indonesia, Thailand, Vietnam, Mexico, and Brazil, to enable opportunities and fulfill the dreams of individuals. Position: Product Head for Data, Analytics, and Platform - Director/Sr. Director Role Overview: The Product Head for Data and Analytics will lead the strategic development and execution of data platform initiatives at Credit Saison India. The role involves defining product strategy, setting OKRs, and ensuring successful program execution to drive the product roadmap. Collaboration with technical teams to integrate advanced analytics, machine learning, and AI capabilities into scalable data platforms is essential. Key Responsibilities: - Define and drive the strategic direction for data platforms, aligning technical initiatives with business goals. - Set clear OKRs for data platform development and ensure alignment across all teams. - Establish standards for planning, project management, execution, and documentation throughout the product lifecycle. - Lead the design and implementation of scalable data pipelines, data lakes, and real-time analytics architectures. - Collaborate with Data Science, Analytics, Platform, and AI teams to integrate machine learning models, predictive analytics, and AI technologies. - Maintain high standards for project management, ensuring initiatives are delivered on time, within scope, and on budget. - Implement data governance and security protocols to ensure compliance with relevant regulations. - Develop key performance metrics to assess the success of data products and drive continuous improvement. - Mentor and lead product managers and technical teams, fostering a culture of ownership, innovation, and excellence. Qualifications: - BTech and/or MBA from reputed colleges (e.g., IITs, NITs, ISBs, IIMs, or equivalent). - 10+ years of experience in product management focusing on data platforms and advanced analytics. - Proficiency in cloud technologies (e.g., AWS, Azure) and data frameworks (Hadoop, Spark, Kafka). - Strong experience with data architectures, data governance, and real-time data pipelines. - Knowledge of integrating AI/ML models into data products and driving BI initiatives. - Program management expertise, leadership, communication, and interpersonal skills to engage stakeholders effectively.,