16 Prescriptive Analytics Jobs

Job Description: As a Data Scientist - Deputy Manager, your primary responsibility will be to implement solutions to problems using data analysis, data mining, optimization tools, and machine learning techniques combined with statistics. You will be tasked with building data-science and technology-based algorithmic solutions to address various business needs. In this role, you will design large-scale models utilizing Regression, Linear Models Family, and Time-series models. Additionally, you will be driving the collection of new data and refining existing data sources to enhance analytical capabilities. An essential aspect of your role will involve analyzing and interpreting the results of analytics experiments while applying a global approach to analytical solutions within a specific business area and across the enterprise. You should possess the ability to utilize data for Exploratory, Descriptive, Inferential, Prescriptive, and Advanced Analytics. Furthermore, sharing dashboards, reports, and analytical insights from data will be a key component of your responsibilities. Experience in visualizing large datasets is preferred and considered an added advantage. To excel in this position, you must have experience in solving analytical problems using quantitative approaches and a passion for empirical research aimed at answering challenging questions with data. Your expertise should extend to manipulating and analyzing complex, high-volume, high-dimensionality data from various sources. You should be proficient in applying a flexible analytic approach that yields results at different levels of precision and be able to communicate complex quantitative analysis in a clear, precise, and actionable manner. Technical Knowledge and Skills Required: - Expert knowledge of an analysis tool such as Pyspark and Python - Experience working with large datasets, with familiarity in distributed computing tools like Map/Reduce, Hadoop, Hive, etc. - Understanding of relational databases and SQL You're the right fit if: - Possess 5-8 years of experience in engineering or a related field - Demonstrated experience in solving analytical problems using quantitative approaches - Proficiency in manipulating and analyzing complex, high-volume data from various sources - Ability to apply a flexible analytic approach yielding results at varying levels of precision - Strong communication skills to convey complex quantitative analysis clearly and precisely - Expertise in analysis tools such as R and Python - Familiarity with working on large datasets and distributed computing tools How we work together: We believe in the power of collaboration and teamwork. For our office-based teams, working in-person at least 3 days per week is essential. Different roles may require full-time presence onsite at the company's facilities or in the field, typically at customers" or suppliers" locations. About Philips: Philips is a health technology company dedicated to providing quality healthcare accessible to all. Our mission revolves around the idea that every individual matters, and we are committed to ensuring that everyone receives the healthcare they deserve. Join us in making a difference in the lives of others by contributing to our impactful work. Learn more about our business, explore our vibrant history, and discover our purpose. If you find this role intriguing and possess most, if not all, of the required experiences, we encourage you to apply. You might be the perfect fit for this position or other opportunities at Philips. Learn more about our culture of impactful care and consider becoming part of our team.,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group specializing in translating data into insights for our regional and global clients. Your role will involve leveraging both Mastercard and customer data to design, implement, and scale analytical solutions that unlock client value. By using qualitative and quantitative analytical techniques along with enterprise applications, you will synthesize analyses into clear recommendations and impactful narratives. In this position, you will have the opportunity to provide creative input on various projects across different industries, contributing to the development of analytics strategies and programs for clients. Collaborating with the Mastercard team, you will gain insights into clients" needs, agenda, and risks, building strong working relationships with client analysts/managers as a trusted partner. Your responsibilities will also include collaborating with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients. Independently identifying trends, patterns, issues, and anomalies in your area of analysis, you will structure and synthesize your analysis to highlight relevant findings. Leading internal and client meetings, contributing to project management, and adding to the firm's intellectual capital will be essential aspects of your role. Additionally, you will receive mentorship from performance analytics leaders for your professional growth and development. To qualify for this role, you should have 2-4 years of overall career experience in Performance Analytics, along with an undergraduate degree and experience in data analytics such as business intelligence or descriptive, predictive, or prescriptive analytics. Proficiency in using data analytics software like Python, R, SQL, SAS, as well as advanced skills in Word, Excel, and PowerPoint are required. You should be able to analyze large datasets, synthesize key findings, and multitask efficiently in a fast-paced, deadline-driven environment. Effective communication skills in English and the local office language, where applicable, are also necessary. Preferred qualifications include additional experience in building, managing, and maintaining database structures, working with data visualization tools like Tableau or Power BI, and familiarity with the Hadoop framework and coding using Impala, Hive, or PySpark. Experience in collaborative team environments, problem-solving skills, and relevant industry expertise are also advantageous. As a team member at Mastercard, you will be expected to adhere to the company's security policies and practices, maintain the confidentiality and integrity of accessed information, report any suspected security violations or breaches, and participate in periodic mandatory security trainings to ensure information security. Please refer to our consulting specializations page for more opportunities and apply for the position that aligns best with your background and experience.,

As an Associate Managing Consultant in the Performance Analytics division of Advisors & Consulting Services at Mastercard, your primary responsibility will be to translate data into actionable insights for clients. You will leverage both Mastercard and customer data to design, implement, and scale analytical solutions that drive value for our clients. Your role will involve using a mix of qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and compelling narratives. In this position, you will have the opportunity to work on projects across various industries and problem statements, managing deliverables and workstreams effectively. You will play a key role in developing analytics strategies and programs for large, regional, and global clients by harnessing data and technology solutions to unlock client value. Building strong working relationships with client managers and acting as a trusted partner will be essential to your success. Your responsibilities will also include creating predictive models using segmentation and regression techniques to drive profits, reviewing analytics end-products for accuracy and timeliness, and proactively seeking new knowledge to enhance project work. Additionally, you will collaborate with your team to develop sound business recommendations, deliver client presentations, and lead project management efforts. Mentoring junior consultants, contributing to the firm's intellectual capital, and fostering effective working relationships with local and global teams will be integral parts of your role. To excel in this position, you should possess an undergraduate degree with experience in data and analytics, business intelligence, and descriptive, predictive, or prescriptive analytics. You should have a strong ability to analyze large datasets, synthesize key findings, and provide recommendations using descriptive analytics and business intelligence. Proficiency in data analytics software such as Python, R, SQL, SAS, as well as advanced skills in Word, Excel, and PowerPoint are necessary. Effective communication in English and the local office language, eligibility to work in the country where you are applying, and willingness to travel as required are also important qualifications. Preferred qualifications for this role include additional experience working with the Hadoop framework, coding using Impala, Hive, or PySpark, or utilizing data visualization tools like Tableau and Power BI. Experience in managing tasks in a collaborative team environment, coaching junior consultants, and possessing relevant industry expertise will be advantageous. While an MBA or master's degree with a relevant specialization is not required, it is considered a plus. If you are passionate about leveraging data to drive business insights, thrive in a collaborative and fast-paced environment, and are committed to delivering value to clients, we encourage you to explore the opportunities available in our Performance Analytics team at Mastercard.,

As an HR Analyst (Data Analysis and Data Visualization) at Omnicom Global Solutions, you will be responsible for collecting and consolidating data from multiple platforms. Your role will involve creating visually appealing and informative dashboards, reports, and presentations to effectively communicate key findings to stakeholders. Omnicom Global Solutions is a crucial part of Omnicom Group, a global marketing and corporate communications company with networks and specialty firms providing services to clients in over 70 countries. In India, we offer stellar products and solutions in various areas including Creative Services, Technology, Marketing Science, Advanced Analytics, Market Research, and more. In this role, you will collect and consolidate data from platforms like Culture Amp, One Learning, Open Door, and Greenhouse to analyze trends related to employee engagement and satisfaction. You will use statistical methods and data analysis tools to derive insights, perform predictive analytics, and create visually appealing reports using tools like Tableau and Power BI. To excel in this role, you should have at least 3 years of experience in data analysis, preferably within HR or Employee Experience. Join us in our journey of growth and innovation as we work together to enhance employee engagement and experience.,

What Will You Do: Define the Data sourcing strategy and works with partners to procure data. Supply to IP creation for Ericsson in AI/ML. Research studies and creative usage of new and/or existing data sources. Work with Data Architects to use existing data models and build new ones as needed. Work with new technologies and be the ambassador for them in MI Communities within Ericsson, nurturing the communities and mentoring junior data scientists. Engage with external ecosystem (academia, technology leaders, open source etc.) to develop the skills and technology portfolio for MIs needs Present and be prominent in MI related forums and conferences, e.g., publishing patents, presenting papers, organizing sessions etc. To be successful in the role you must have: Total 8 - 14 yrs of experience with proven skills of implementing a variety of Machine Learning techniques. Solid programming skills (R/Python) with proficiency in at least one. Proven track record of leading AI/ML projects end-to-end with complete ownership. Experience in Generative AI, conversation Assistant systems. Proven skills in building AI/ML based solutions using frameworks such as Python, R, H2O, Keras, TensorFlow, Spark ML etc. Experience in implementing new algorithms and methodologies from leading open source initiatives and research papers. Hands-on experience in designing and building AI models using Deep Neural Networks for applicable scenarios. Able to build and deploy AI models into production with focus on scaling, monitoring and performance. Sound knowledge of building explainable models (XAI) and prescriptive analytics. Show more Show less

The role requires you to lead the design and development of Global Supply Chain Analytics applications and provide support for applications from other domains using supply chain data. You will be responsible for hands-on management of applications in Supply Chain Analytics and wider Operations domain. As a senior specialist in Supply Chain Data & Analytics, you will drive the deliverables for important digital initiatives contributing towards strategic priorities. Your role will involve leading multiple projects and digital products, collaborating with team members both internally and externally, and interacting with global Business and IT stakeholders to ensure successful solution delivery with standard designs in line with industry best practices. Your responsibilities will include designing and managing the development of modular, reusable, elegantly designed, and maintainable software solutions that support the Supply Chain organization and other Cross Functional strategic initiatives. You will participate in fit-gap workshops with business stakeholders, provide effort estimates and solutions proposals, and develop and maintain code repositories while responding rapidly to bug reports or security vulnerability issues. Collaboration with colleagues across various departments such as Security, Compliance, Engineering, Project Management, and Product Management will be essential. You will also drive data enablement and build digital products, delivering solutions aligned with business prioritizations and in coordination with technology architects. Contributing towards AI/ML initiatives, data quality improvement, business process simplification, and other strategic pillars will be part of your role. Ensuring that delivered solutions adhere to architectural and development standards, best practices, and meet requirements as recommended in the architecture handbook will be crucial. You will also be responsible for aligning designed solutions with Data and Analytics strategy standards and roadmap, as well as providing status reporting to product owners and IT management. To be successful in this role, you should have a minimum of 8 years of data & analytics experience in a professional environment, with expertise in building applications across platforms. Additionally, you should have experience in delivery management, customer-facing IT roles, Machine Learning, SAP BW on HANA and/or S/4 HANA, and cloud platforms. Strong data engineering fundamentals in data management, data analysis, and back-end system design are required, along with hands-on exposure in Data & Analytics solutions, including predictive and prescriptive analytics. Key skills for this role include collecting and interpreting requirements, understanding Supply Chain business processes and KPIs, domain expertise in Pharma industry and/or Healthcare, excellent communication and problem-solving skills, knowledge in Machine Learning and analytical tools, familiarity with Agile and Waterfall delivery concepts, proficiency in using various tools such as Jira, Confluence, GitHub, and SAP Solution Manager, and hands-on experience in technologies like AWS Services, Python, Power BI, SAP Analytics, and more. Additionally, the ability to learn new technologies and functional topics quickly is essential. Novartis is committed to building an outstanding, inclusive work environment and diverse teams representative of the patients and communities it serves. If you are passionate about making a difference in the lives of others and are ready to collaborate, support, and inspire breakthroughs, this role offers an opportunity to create a brighter future together.,

As an Associate Managing Consultant in Strategy & Transformation at Mastercard's Performance Analytics division, you will be a part of the Advisors & Consulting Services group specializing in translating data into actionable insights. Your role will involve leveraging both Mastercard and customer data to design, implement, and scale analytical solutions for clients. By utilizing qualitative and quantitative analytical techniques and enterprise applications, you will synthesize analyses into clear recommendations and impactful narratives. In this position, you will manage deliverable development and workstreams on projects spanning various industries and problem statements. You will contribute to developing analytics strategies for large clients, leveraging data and technology solutions to unlock client value. Building and maintaining trusted relationships with client managers will be crucial, as you act as a reliable partner in creating predictive models and reviewing analytics end-products for accuracy, quality, and timeliness. Collaboration and teamwork play a significant role in this role, where you will be tasked with developing sound business recommendations, delivering effective client presentations, and leading team and external meetings. Your responsibilities will also include contributing to the firm's intellectual capital, mentoring junior consultants, and fostering effective working relationships with local and global teams. To be successful in this role, you should possess an undergraduate degree with experience in data and analytics, business intelligence, and descriptive, predictive, or prescriptive analytics. You should be adept at analyzing large datasets, synthesizing key findings, and providing recommendations through descriptive analytics and business intelligence. Proficiency in data analytics software such as Python, R, SQL, and SAS, as well as advanced skills in Word, Excel, and PowerPoint, are essential. Effective communication in English and the local office language, eligibility to work in the country of application, and a proactive attitude towards learning and growth are also required. Preferred qualifications for this role include additional experience working with the Hadoop framework, data visualization tools like Tableau and Power BI, and coaching junior delivery consultants. While an MBA or master's degree with a relevant specialization is not mandatory, having relevant industry expertise would be advantageous. At Mastercard, we prioritize information security, and every individual associated with the organization is expected to abide by security policies, maintain the confidentiality and integrity of accessed information, report any security violations or breaches, and complete required security trainings to ensure the protection of Mastercard's assets, information, and networks.,

At PwC, the focus in data and analytics revolves around leveraging data to drive insights and make informed business decisions. By utilizing advanced analytics techniques, our team helps clients optimize operations and achieve strategic goals. As a professional in data analysis at PwC, you will specialize in utilizing advanced analytical techniques to extract insights from large datasets, supporting data-driven decision-making. Your role will involve leveraging skills in data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently seeking individuals with a strong analytical background to join our Analytics Consulting practice. As a Senior Associate, you will be an essential part of business analytics teams in India, collaborating with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide business recommendations to project teams. **Years of Experience:** Candidates should possess 4+ years of hands-on experience. **Must Have:** - Experience in building ML models in cloud environments (At least 1 of the 3: Azure ML, GCPs Vertex AI platform, AWS SageMaker) - Knowledge of predictive/prescriptive analytics, particularly in the usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good knowledge of statistics, including statistical tests & distributions - Experience in Data analysis, such as data cleansing, standardization, and data preparation for machine learning use cases - Experience in machine learning frameworks and tools (e.g., scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib) - Advanced level programming in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Good communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the U.S. as a subject matter expert to formalize data sources, acquire datasets, and clarify data & use cases for a strong understanding of data and business problems - Drive and conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Build storylines and deliver presentations to the client team and/or PwC project leadership team - Contribute to knowledge sharing and firm building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

As an experienced Marketing Analytics Trainer, you will have the opportunity to deliver a comprehensive classroom training program for our Brand Design and Activation Team based in Mumbai (Vikhroli). This program spans over 23 full days and is aimed at 1011 professionals involved in Content Marketing, Digital Marketing, Social Media Marketing, and Campaign Creation & Activation. Your role will involve designing and facilitating a program titled "Marketing Analytics: Data-Driven Decision Making" tailored to Brand Managers, Brand Activation Leads, and Product Marketing Professionals. The primary objective of this program is to equip participants with the knowledge and skills to leverage analytics for marketing decision-making effectively. Throughout the training, you will guide participants to understand the four key types of analytics - Descriptive, Diagnostic, Predictive, and Prescriptive - and demonstrate how each type contributes to informed marketing strategies. Moreover, you will enable participants to translate data insights into actionable marketing plans, utilizing both qualitative and quantitative research tools to extract valuable customer insights. Your expertise will be pivotal in connecting research outcomes to decisions related to brand positioning, campaign development, and product innovation. By integrating analytics and customer insights, you will help create a cohesive decision-making framework aligned with the overarching business goals of the organization. To excel in this role, you are required to have a proven track record in Marketing Analytics training or similar corporate workshops. A strong understanding of data-driven marketing practices and analytical frameworks is essential, along with the ability to engage effectively with cross-functional teams from various departments such as brand, product, and digital. Additionally, the inclusion of hands-on examples and relevant industry use cases in your training sessions is highly preferred to enhance the learning experience for the participants.,

A critical role in driving data-driven decision-making within the organization. You will be responsible for leading analytics initiatives, developing business intelligence (BI) solutions, and providing actionable insights. Your focus will be on improving key performance indicators (KPIs) and running sales and purchase efficiency programs. In this role, you will: - Conduct data-driven deep-dive analysis on key KPIs to identify trends, patterns, and performance fluctuations, providing valuable insights. - Apply descriptive, diagnostic, predictive, and prescriptive analytics to offer solutions and insights on business problems. - Investigate the root causes behind KPI improvements or declines, assessing internal and external influencing factors, and presenting findings to management. - Identify key drivers and business levers to recommend actionable insights for performance enhancement. - Collaborate with cross-functional teams to translate analytical findings into strategic initiatives and operational improvements. - Develop frameworks, dashboards, and standard operating procedures (SOPs) to monitor KPI movements and support decision-making. You will also: - Design, develop, and execute programs such as incentive plans for stakeholders and sales initiatives to enhance performance and achieve business objectives. - Drive, track, and monitor the progress of these programs to ensure effective implementation and desired outcomes. - Analyze the impact and effectiveness of initiatives, preparing detailed reports and presentations for senior leadership. - Provide actionable insights and recommendations to improve program performance and align with organizational goals. - Collaborate closely with cross-functional teams and stakeholders to ensure programs are in sync with business priorities and targets. Additionally, you will: - Collaborate with stakeholders to understand business needs and deliver tailored BI solutions by partnering with product and tech teams to automate data collection, processes, and reporting workflows. - Identify opportunities for automation and leverage tools to streamline repetitive tasks and enhance data management processes. - Work towards building a predictive analytics framework. Qualifications & Skills: - Bachelor's degree in B.Com / B.Tech / B.Sc. Economics with 2 years of experience; MBA / PGDM is a must. - Proven experience in analytics and insights, with a preference for experience in sales & operations, marketing, category, and logistics analytics. - Proficiency in data analysis tools like SQL and Python is an added advantage. - Excellent problem-solving skills with the ability to translate data insights into actionable strategies. - Strong business acumen, strategic thinking, and intellectual curiosity. - Excellent communication skills, with the ability to convey complex analytics concepts to diverse audiences. - Ability to work effectively in cross-functional teams and collaborate with multiple stakeholders. - Experience in the Construction Industry & B2B Ecommerce (Building Material), Financial services with exposure to lending in the construction industry is a plus. - Appreciation for technology and a digital mindset.,

You are a highly motivated Solution Configuration Consultant with 4-7 years of experience in the Supply Chain Technology / Enterprise Software industry. Your primary role will involve implementing the o9 supply chain planning platform for global clients. You will collaborate with stakeholders to gather requirements, design solutions, configure tools, and ensure the successful delivery of supply chain capabilities. Your key responsibilities include understanding business needs, defining supply chain processes, collecting and analyzing operational data, applying o9 platform data models, translating business logic into specifications, configuring the o9 platform, creating and executing test cases, engaging with stakeholders, planning and delivering training, and mentoring junior analysts. In terms of technical experience, you must have strong expertise in at least one supply chain domain, end-to-end experience with supply chain solution implementations, the ability to convert business logic into technical configurations within the o9 platform, troubleshooting and performance tuning skills, experience with scripting languages like IBPL, SQL, and JSON, familiarity with planning systems and ERP platforms, and a solid foundation in data modeling and data architecture. Your professional attributes should include the ability to communicate technical concepts to non-technical stakeholders, work effectively in distributed teams across time zones, and possess excellent communication and interpersonal skills to manage client expectations. As for educational qualifications, you should hold a B.Tech / B.E. / MCA degree with a preference for a Supply Chain certification.,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group, which specializes in Strategy & Transformation, Business Experimentation, Marketing, and Program Management. Your role will involve translating data into valuable insights for clients by utilizing both Mastercard and customer data to create, implement, and expand analytical solutions. You will apply qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and impactful narratives. In this position, you will have the opportunity to contribute creatively to various projects across different industries and problem statements. You will play a key role in developing analytics strategies and programs for regional and global clients, unlocking client value through data and technology solutions. Collaborating closely with the Mastercard team, you will gain a deep understanding of clients" needs, agendas, and risks, establishing yourself as a trusted and reliable partner to client analysts and managers. Your responsibilities will also include collaborating with senior project delivery consultants to identify key findings, prepare effective presentations, and deliver recommendations to clients. Independently identifying trends, patterns, issues, and anomalies in your area of analysis, you will structure and synthesize your own analysis to highlight relevant findings. Leading internal and client meetings, contributing to project management, and enhancing the firm's intellectual capital will all be part of your role. To qualify for this position, you should have an undergraduate degree with experience in data and analytics related to business intelligence and descriptive, predictive, or prescriptive analytics. Proficiency in data analytics software such as Python, R, SQL, and SAS is essential, along with advanced skills in Word, Excel, and PowerPoint. Strong communication skills in English and the local office language, if applicable, are required. Additionally, you should be eligible to work in the country where you are applying and be able to apply for travel visas as needed for business trips. Preferred qualifications for this role include additional experience in building, managing, and maintaining database structures, working with data visualization tools like Tableau and Power BI, or utilizing the Hadoop framework and coding with Impala, Hive, or PySpark. You should also be adept at analyzing large datasets to provide recommendations through descriptive analytics and business intelligence, managing tasks in a collaborative team environment, and identifying problems to implement effective solutions. Relevant industry expertise will be beneficial. Furthermore, as part of your corporate security responsibility at Mastercard, you are expected to abide by security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings as per Mastercard's guidelines. Your commitment to information security is crucial in protecting Mastercard assets, information, and networks. For more information on different specializations and levels available in consulting at Mastercard, please visit: [Consulting Specializations at Mastercard](https://careers.mastercard.com/us/en/consulting-specializations-at-mastercard),

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 their strategic goals. In this role, you will be responsible for utilizing advanced analytical techniques to extract insights from large datasets and drive data-driven decision-making. Your primary focus will be on data manipulation, visualization, and statistical modeling to assist clients in solving complex business problems. PwC US - Acceleration Center is currently looking for individuals with a strong analytical background to join our Analytics Consulting practice. As an Associate, you will work closely with business analytics teams in India and collaborate with clients and consultants in the U.S. You will lead teams for high-end analytics consulting engagements and provide valuable business recommendations to project teams. Candidates with a minimum of 2 years of hands-on experience are encouraged to apply for this position. **Must Have:** - Experience in building ML models in cloud environments, such as Azure ML, AWS SageMaker, or Databricks - Knowledge of predictive/prescriptive analytics, including usage of Log-Log, Log-Linear, Bayesian Regression techniques, Machine Learning algorithms (Supervised and Unsupervised), deep learning algorithms, and Artificial Neural Networks - Good understanding of statistics, including statistical tests & distributions - Experience in data analysis, including data cleansing, standardization, and data preparation for machine learning use cases - Proficiency in machine learning frameworks and tools, such as scikit-learn, mlr, caret, H2O, TensorFlow, Pytorch, MLlib - Advanced level programming skills in SQL or Python/Pyspark - Expertise with visualization tools like Tableau, PowerBI, AWS QuickSight, etc. **Nice To Have:** - Working knowledge of containerization (e.g., AWS EKS, Kubernetes), Dockers, and data pipeline orchestration (e.g., Airflow) - Strong communication and presentation skills **Roles And Responsibilities:** - Develop and execute project & analysis plans under the guidance of the Project Manager - Interact with and advise consultants/clients in the US as a subject matter expert to formalize data sources, datasets, and data clarifications needed for data and business problem understanding - Drive and Conduct analysis using advanced analytics tools and mentor junior team members - Implement quality control measures to ensure deliverable integrity - Validate analysis outcomes and recommendations with stakeholders, including the client team - Create storylines and deliver presentations to the client team and PwC project leadership - Contribute to knowledge-sharing and firm-building activities **Professional And Educational Background:** - Any graduate / BE / B.Tech / MCA / M.Sc / M.E / M.Tech / Masters Degree / MBA,

As a Consultant in Performance Analytics at Mastercard, you will be part of the Advisors & Consulting Services group, which specializes in Strategy & Transformation, Performance Analytics, Business Experimentation, Marketing, and Program Management. Your role will involve translating data into insights by utilizing both Mastercard and customer data to create, implement, and scale analytical solutions for clients. You will employ qualitative and quantitative analytical techniques along with enterprise applications to synthesize analyses into clear recommendations and impactful narratives. Your responsibilities will include providing creative input on projects across various industries, contributing to the development of analytics strategies for regional and global clients, collaborating with the Mastercard team to understand client needs, and developing relationships with client analysts and managers. Additionally, you will collaborate with senior project delivery consultants, identify key findings, prepare presentations, deliver recommendations to clients, and lead internal and client meetings. To qualify for this role, you should have an undergraduate degree with experience in data and analytics, proficiency in data analytics software such as Python, R, SQL, SAS, and advanced skills in Word, Excel, and PowerPoint. You must be able to analyze large datasets, synthesize key findings, manage clients or internal stakeholders, and communicate effectively in English and the local office language. Preferred qualifications include additional experience in database structures, data visualization tools, working with the Hadoop framework, and relevant industry expertise. As part of your role, you will be expected to abide by Mastercard's security policies, ensure the confidentiality and integrity of accessed information, report any suspected security violations, and complete mandatory security trainings. This position offers opportunities for professional growth and development through mentorship from performance analytics leaders. If you are passionate about leveraging data to drive business insights and solutions, and possess the required qualifications and skills, we encourage you to explore the available positions in Performance Analytics at Mastercard and apply to join our dynamic team.,

As an experienced professional with over 18 years in the Telecom, New Age/Tech, Customer Service, and Retail industries, you will be responsible for leading the Quality and Process Excellence team for a large business with global deliveries. Your role will require you to have a Graduate/Post Graduate degree with at least the last 10 years in the IT/BPO industry. It is essential to have Lean and Six Sigma Black Belt/Master Black Belt certifications to drive quality certifications like ISO, CMMI, COPC, and execute high-impact continuous improvement projects using Lean, Six Sigma, and Transformation methodologies. Your responsibilities will include proactively identifying opportunities for improvements and potential risks, collaborating with internal and external stakeholders to address them, and driving business value generating projects for customers and the organization. Additionally, you will lead innovation and change initiatives across the business in alignment with customer and internal transformation teams. Your strong interpersonal, people management, analytical, and communication skills will be crucial in managing clients, internal senior stakeholders, and global teams across different geographies and time zones. Having a proven track record in problem-solving and innovation, especially in technology-enabled solutions like RPA, Low Code No Code, AI, and Gen AI, will be advantageous. Furthermore, a good understanding of various pricing models, financials, and P&L, along with the ability to drive descriptive, prescriptive, and predictive analytics for different engagements, will be valuable in ensuring best-in-class customer experience. You will also be expected to own the charter of Start Green and Stay Green to identify and replicate best practices throughout the business.,

Overview This role is responsible for producing KPI tracking reports and extracting key data into suitable format to enable the UK business unit to manage performance. Key responsibility is maintaining a standard reporting and comms methodology with partner stakeholders. The scope of data and interactions is across Customer service and collaboration performance. The role holder will have to work in partnership with respective BU CS functional owners to ensure the reports are updated in line with the daily needs of the business whilst also responding to BU update requests or support as required for historical performance tracking. This role is essential to ensure visibility to operational and regulatory performance is clear and timely in representation to enable the teams to continuously improve service. This role is the more senior role which will be supported by the CS snr associates. Responsibilities Conduct regular KPI tracking Complete Ad hoc reports on request for snr mgmt. or stakeholders Provide and communicate preliminary root cause analysis Monthly reporting Continuous improvement of reporting process In addition to tasks associated with the reporting associate above, the analyst will also take ownership of Project manage reporting and analytics development Create and model scenarios in support of Customer collaboration Designing new scorecards / dashboards in partnership with local CS teams requirements Pro-active system analysis for improvement opportunities (automation potential) and fault diagnosis (maintain process / RPA) Support and enable reporting automation (RPA) and report creation using appropriate digitalisation tools (powerBI or equiv.) Investigate and trial new CS tools, supporting development opportunities (i.e. support AI, ML, Prescriptive analytics) Qualifications Advance knowledge of Power BI & Power Automate Basic knowledge of SQL & Python Analytical Mindset Good communication skills