438 Advanced Analytics Jobs

Looking for challenging role If you really want to make a difference - make it with us Can we energize society and fight climate change at the same time At Siemens Energy, we can. Our technology is key, but our people make the difference. Brilliant minds innovate. They connect, create, and keep us on track towards changing the world’s energy systems. Their spirit fuels our mission. Our culture is defined by caring, agile, respectful, and accountable individuals. We value excellence of any kind. Sounds like you Job Summary: We are seeking a dynamic and experienced leader in field of AI & Advanced Analytics to lead our AI/ML initiatives and drive transformative projects across our grid technology organization. The ideal candidate will have a strong background in AI, machine learning, and data analytics, with a proven track record of delivering innovative solutions that align with business objectives in the energy sector, particularly in transmission planning and operational studies. Your new role – challenging and future- oriented Lead the AI/ML practice, providing technical leadership and strategic direction for AI initiatives. Oversee the end-to-end deployment of AI/ML projects, ensuring timely delivery and alignment with business goals. Collaborate with cross-functional teams to align AI/ML projects with key business functions in our digital grid business, with major stack holders as engineering, project operations, and senior management. Utilize programming languages and tools such as Python, R, SQL, MATLAB, and cloud platforms (AWS) to deliver data-driven solutions. In addition, support in execution of steady-state and dynamic contingency analyses using power flow models (PSSE, PowerFactory, PSCAD, VSAT, TSAT, or Powerworld). Designs and performs production cost modeling studies to accomplish economic transmission planning under the direction of a senior level engineer or management. Support development of improved models for transmission planning and market forecasting processes. Assists in providing input and analyses from the planning perspective on market/protocol design issues. Assists in providing market simulation/forecasting and transmission planning analyses to support other activities in grid technology business. Communicate complex technical concepts to non-technical stakeholders effectively. Lead and manage international teams, ensuring effective collaboration and knowledge sharing . We don’t need superheroes, just super minds Master's or Ph.D. in Computer Science, Electrical Engineering, Physics, Mathematics, or a related quantitative field, OR equivalent industry experience with a strong demonstrable research background in AI/ML. Minimum of 8-10 years of experience in AI, machine learning, and advanced analytics, with a focus on the energy sector, especially the transmission business. Proficiency in programming languages (Python, R, SQL) and data analytics tools (Pyspark, Databricks). Experience with deep learning frameworks (Keras, TensorFlow, Pytorch) and cloud computing (AWS). Prior experience in transmission planning and operational studies (100 kV ~ 765 kV), power system performance analyses including steady state analysis, dynamic stability, voltage stability, protection coordination and control system. Prior experience in power system simulation programs (e.g. PSS/E, TARA, PSLF, DigSilent PowerFactory, ETAP, PSCAD/EMTDC, MATLAB/Simulink) An analytical and strategic mindset, always eager to explore and implement innovative solutions and applying problem-solving skills within a consulting environment. Experienced in product development and process improvement. Past track record of driving significant business outcomes through data-driven solutions. Strong leadership and mentorship abilities. Excellent communication and interpersonal skills. Analytical and strategic mindset, with a passion for exploring and implementing innovative solutions. We’ve got quite a lot to offer. How about you This role is based at Site (Gurgaon). You’ll also get to visit other locations in India and beyond, so you’ll need to go where this journey takes you. In return, you’ll get the chance to work with teams impacting entire cities, countries – and the shape of things to come. We’re Siemens. A collection of over 379,000 minds building the future, one day at a time in over 200 countries. We're dedicated to equality, and we welcome applications that reflect the diversity of the communities we work in. All employment decisions at Siemens are based on qualifications, merit and business need. Bring your curiosity and imagination and help us shape tomorrow.

Develop, test and support future-ready data solutions for customers across industry verticals. Develop, test, and support end-to-end batch and near real-time data flows/pipelines. Demonstrate understanding of data architectures, modern data platforms, big data, analytics, cloud platforms, data governance and information management and associated technologies. Communicates risks and ensures understanding of these risks. Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Graduate with a minimum of 6+ years of related experience required. Experience in modelling and business system designs. Good hands-on experience on DataStage, Cloud-based ETL Services. Have great expertise in writing TSQL code. Well-versed with data warehouse schemas and OLAP techniques. Preferred technical and professional experience Ability to manage and make decisions about competing priorities and resources. Ability to delegate where appropriate. Must be a strong team player/leader. Ability to lead Data transformation projects with multiple junior data engineers. Strong oral written and interpersonal skills for interacting throughout all levels of the organization. Ability to communicate complex business problems and technical solutions.

Overview We are an integral part of Annalect Global and Omnicom Group, one of the largest media and advertising agency holding companies in the world. Omnicom’s branded networks and numerous specialty firms provide advertising, strategic media planning and buying, digital and interactive marketing, direct and promotional marketing, public relations, and other specialty communications services. Our agency brands are consistently recognized as being among the world’s creative best. Annalect India plays a key role for our group companies and global agencies by providing stellar products and services in areas of Creative Services, Technology, Marketing Science (data & analytics), Market Research, Business Support Services, Media Services, Consulting & Advisory Services. We are growing rapidly and looking for talented professionals like you to be part of this journey. Let us build this, together . Responsibilities Translating data into clear, compelling, and actionable insights by leveraging advanced analytics tactics conducted by central resource. Developing and executing attribution and measurement projects. Ensuring timely follow through on all scheduled and ad hoc deliverables. With the leaders of the functional specialty teams, keeping track of projects being run by the Functional Specialists to ensure they are done on time and to right level of quality. Development of presentations to clients, including the results of attribution and modelling projects in a clear and insightful narrative, digestible by a lay person. Understanding of consumer and marketplace behaviors, particularly those that most impact business and marketing goals. Qualifications Bachelor’s degree in statistics, mathematics, economics, engineering, information management, social sciences or business/marketing related fields. Masters preferred. 1 to 2 years of experience in a quantitative data driven field, media, or equivalent coursework or academic projects Good working knowledge and understanding of statistics and advanced analytics, marketing mix modeling / econometric analysis / multivariate regression is a must have skill. Experience with coding languages; must have working knowledge of Python and/or R. Understanding of fundamental database concepts and SQL is beneficial. Good to have Marketing analytics, data science techniques. Strong excel skills (Vlookups, Pivot Tables, Macros and other advanced functions) Excellent communication skills. Good to have Experience with data visualization platforms. PowerBI/Tableau, Qlikview, Plotly, SAS, etc. are good-to-have. Good to have Prior agency experience Good to have Familiarity with digital marketing and media concepts & tools and web analytics (Google DCM, Adobe Analytics, Google Analytics etc.)

Adobe CJA Configuration Engineer The key responsibilities include configuring CJA setups, managing data integrity in Adobe Experience Platform (AEP), and developing actionable insights via dashboards and reports. The candidate will also integrate CJA with other Adobe Experience Cloud solutions and ensure best practices for data governance. Key responsibilities of an Adobe CJA role include: Data integration and management: Pulling data from various sources and preparing it for analysis within Adobe CJA. Customer journey mapping: Visualizing customer interactions across touchpoints to identify key moments and potential pain points. Advanced analytics: Utilizing CJA features like path analysis, cohort analysis, and attribution modeling to understand customer behavior and campaign effectiveness. Dashboard development: Creating interactive dashboards to present key customer journey insights to stakeholders. Reporting and analysis: Interpreting data to generate actionable insights and recommendations for improving customer experience. Skills and qualifications for an Adobe CJA role: Technical expertise: Strong understanding of Adobe Analytics platform, including CJA features, data models, and analysis techniques. Data analysis skills: Proficiency in data manipulation, statistical analysis, and data visualization. Adobe Analytics, Cja

Overview Provide data science / analytics support for the Perfect Store group who works with AMESA Sectors, a part of the broader Global Capability Center in Hyderabad, India. This role will help to enable accelerated growth for PepsiCo by building Retailer Value Offer and Shopper Value offer, aligning data, and performing advance analytics approaches for PepsiCo to drive actionable insights at Business Unit, store level. Key responsibilities will be to build and manage advance analytics-deep dives in a cloud environment, manage data and prepare data to be used for advanced analytics, artificial intelligence, machine learning, and deep learning projects. Responsibilities Support Perfect Store (Demand Accelerator) team with delivery of Retail Value Offer, Shopper Value Offer framework for AMESA sector Work within cloud environment (e.g., Microsoft Azure) Build and maintain codes for use in advanced analytics, artificial intelligence, and machine learning projects Clean and prepare data for use in advanced analytics, artificial intelligence, and machine learning projects Build deep dive analysis reports in cloud environment (using Pyspark and Python) to support BU Ask Develop, maintain, and apply statistical techniques to business questions - including Distribution, Outliers, visualizations etc. Support relationships with the key end-user stakeholders with Business Units-AMESA Own flawless execution AND Quality Check of analytics exercises Responsible for managing multiple priorities; being able to manage deadlines and deliverables Lead communication with Business Partners and potentially end-users on matters such as available capacity, changes of scope of existing projects and planning of future projects Deliver outputs in line with the agreed timelines and formats while updating existing project management tools Flag and monitor any business risks related to delivering the requested outputs Qualifications An experienced analytics profession with 4 years+ experience EducationB.Tech or any bachelors degree. Masters are optional Proficient with Python, SQL, Excel and PowerBI Plus, to have knowledge on Machine Learning algorithms Good to have Retail experience Strong collaboratorInterested and motivated by working with others. Owns the full responsibility of deliverables, quality check thoroughly, look for and work on improvements in the process Actively creates and participates in opportunities to co-create solutions across markets. Willing and able to embrace Responsive Ways of Working

The Product Owner III will be responsible for defining and prioritizing features and user stories, outlining acceptance criteria, and collaborating with cross-functional teams to ensure successful delivery of product increments. This role requires strong communication skills to effectively engage with stakeholders, gather requirements, and facilitate product demos. The ideal candidate should have a deep understanding of agile methodologies, experience in the insurance sector, and possess the ability to translate complex needs into actionable tasks for the development team. Key Responsibilities: Define and communicate the vision, roadmap, and backlog for data products. Manages team backlog items and prioritizes based on business value. Partners with the business owner to understand needs, manage scope and add/eliminate user stories while contributing heavy influence to build an effective strategy. Translate business requirements into scalable data product features. Collaborate with data engineers, analysts, and business stakeholders to prioritize and deliver impactful solutions. Champion data governance , privacy, and compliance best practices. Act as the voice of the customer to ensure usability and adoption of data products. Lead Agile ceremonies (e.g., backlog grooming, sprint planning, demos) and maintain a clear product backlog. Monitor data product performance and continuously identify areas for improvement. Support the integration of AI/ML solutions and advanced analytics into product offerings. Required Skills & Experience: Proven experience as a Product Owner, ideally in data or analytics domains. Strong understanding of data engineering , data architecture , and cloud platforms (AWS, Azure, GCP). Familiarity with SQL , data modeling, and modern data stack tools (e.g., Snowflake, dbt, Airflow). Excellent stakeholder management and communication skills across technical and non-technical teams. Strong business acumen and ability to align data products with strategic goals. Experience with Agile/Scrum methodologies and working in cross-functional teams. Ability to translate data insights into compelling stories and recommendations .

We are seeking a highly skilled Advanced Analytics Specialist to join our dynamic team. The successful candidate will be responsible for leveraging advanced analytics techniques to derive actionable insights, inform business decisions, and drive strategic initiatives. This role requires a deep understanding of data analysis, statistical modeling, machine learning, and data visualization. In this role, you will be responsible for architecting and delivering AI solutions using cutting-edge technologies, with a strong focus on foundation models and large language models. You will work closely with customers, product managers, and development teams to understand business requirements and design custom AI solutions that address complex challenges. Experience with tools like Github Copilot, Amazon Code Whisperer etc. is desirable. Success is our passion, and your accomplishments will reflect this, driving your career forward, propelling your team to success, and helping our clients to thrive. Day-to-Day Duties: Proof of Concept (POC) DevelopmentDevelop POCs to validate and showcase the feasibility and effectiveness of the proposed AI solutions. Collaborate with development teams to implement and iterate on POCs, ensuring alignment with customer requirements and expectations. Help in showcasing the ability of Gen AI code assistant to refactor/rewrite and document code from one language to another, particularly COBOL to JAVA through rapid prototypes/ PoC Documentation and Knowledge SharingDocument solution architectures, design decisions, implementation details, and lessons learned. Create technical documentation, white papers, and best practice guides. Contribute to internal knowledge sharing initiatives and mentor new team members. Industry Trends and InnovationStay up to date with the latest trends and advancements in AI, foundation models, and large language models. Evaluate emerging technologies, tools, and frameworks to assess their potential impact on solution design and implementation Required education Bachelor's Degree Preferred education Master's Degree Required technical and professional expertise Develop and implement advanced analytical models and algorithms to solve complex business problems, analyze large datasets to uncover trends, patterns, and insights that drive business performance. Collaborate with cross-functional teams to identify key business challenges and opportunities, Create and maintain data pipelines and workflows to ensure the accuracy and integrity of data, Design and deliver insightful reports and dashboards to communicate findings to stakeholders. Stay up to date with the latest advancements in analytics, machine learning, and data science. Provide technical expertise and mentorship to junior team members. QualificationsBachelor’s or master’s degree in data science, Statistics, Mathematics, Computer Science, or a related field. Proven experience in advanced analytics, data science, or a similar role. Proficiency in programming languages such as Python, R, or SQL. Experience with data visualization tools like Tableau, Power BI, or similar. Strong understanding of statistical modelling and machine learning algorithms. Excellent analytical, problem-solving, and critical thinking skills. Ability to communicate complex analytical concepts to non-technical stakeholders. Experience with big data technologies (e.g., Hadoop, Spark) is a plus Preferred technical and professional experience Familiarity with cloud-based analytics platforms (e.g., AWS, Azure). Knowledge of natural language processing (NLP) and deep learning techniques. Experience with project management and agile methodologies

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)

Job Title - S&C Global Network - AI - Healthcare Analytics - Senior Analyst Management Level: 10-Senior Analyst Location: Gurgaon/Bangalore/Mumbai Must-have skills: Phython, Spark,SQL, Tableau, Power BI Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. WHATS IN IT FOR YOU Conduct data wrangling and analysis on healthcare claims, provider datasets, and publicly available health data. Develop predictive models using data science and AI techniques to address client needs. Utilize natural language processing (NLP) capabilities to extract insights from unstructured data sources. Collaborate with cross-functional teams to implement analytics solutions effectively. Translate complex data findings into clear, concise, and actionable strategies. What you would do in this role Work with Managers to get Client's business requirements and deliver Analytics driven solution. Duties and Responsibilities Sr. Data Scientist responsible for generating actionable recommendations well-supported by quantitative analysis to help our clients address their ongoing problems. Present analytic findings & opportunities for improvement to senior management and summarize key findings, and aid in the dissemination of metrics throughout the organization. Build knowledge base and disseminate information on applications of variety of analytical techniques. Develop statistical models and delivery of analytic offerings and solutions in health domain areas. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Experience in resolving complex data issues in creative and effective ways. Strong people management skills both at client site and an offshore environment Excellent communication skills and ability to interact with all levels of end users, stakeholders, and technical resources. Adept with using Statistical (like forecasting/modeling, optimization models), Machine Learning (GBM, Decision Trees etc.), AI techniques (Deep Learning) Good exposure to consulting experience/basic understanding of business problems and suggesting solutions. Technical Skills: Proficient in data handling suites PYTHON, Spark, SQL, or similar packages Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical businesspeople. Strong aptitude, ability, motivation, and interest in placing quantitative analysis in the context of health care business for providers / payers/Public health systems Experience working with cloud providers (e.g. AWS, Azure, GCP) Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 3-5 Years in Healthcare Analytics Educational Qualification: Bachelor's / masters degree in computer science, statistics, applied mathematics, or a related field.

Job Title Ind & Func AI Decision Science Analyst - S&C GN Management Level :11 - Analyst Location:Gurgaon Must have skills: Generative AI, Machine Learning, Large Language Models (LLMs), Python, SQL Good to have skills:Spark, Cloud Platforms (AWS, Azure, GCP), NLP, Computer Vision Job Summary : As an AI Decision Science Analyst, you will play a key role in designing, building, and deploying advanced AI models and solutions to address business challenges across various industries. You will leverage Generative AI, Machine Learning, and Large Language Models (LLMs) to drive innovation and deliver impactful insights for clients. Your work will involve collaborating with cross-functional teams, and contributing to the development of advanced analytics capabilities. Roles & Responsibilities: Leverage Advanced Data Science Techniques Develop solutions using Generative AI, Machine Learning, and Large Language Models (LLMs). Define data requirements, clean, aggregate, analyze, and interpret data while conducting data quality assessments. Develop and Implement AI Models Build and deploy AI models and Generative AI applications. Train and fine-tune LLMs using large-scale datasets to optimize performance and accuracy. Evaluate model performance and implement iterative improvements. Solution Integration and Deployment Collaborate to integrate AI solutions into end-to-end workflows, ensuring scalability. Utilize cloud platforms like AWS, Azure, or GCP for model development and deployment. Innovation and Knowledge Sharing Stay updated on advancements in AI and Data Science, exploring innovative techniques and frameworks. Document methodologies and findings for effective knowledge sharing. Professional & Technical Skills: - Must To Have Skills: Proficiency in Generative AI, Machine Learning, LLMs, Python, SQL. Spark, Cloud platforms (AWS, Azure, GCP), NLP, Computer Vision. Experience in developing and AI/ML models. Additional Information: - The ideal candidate will possess a strong educational background in computer science or a related field, along with a proven track record of delivering impactful solutions using data science and analytics. This position is based at our Gurugram office. About Our Company | Accenture Qualification Experience: Minimum 1+ years of experience in Data Science, preferably within a consulting environment Educational Qualification: Bachelors or Masters degree (BE/BTech/MBA) in Statistics, Computer Science, Mathematics, or related disciplines with an excellent academic record

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Pune, PDC6A Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Experience and Education: A minimum 7-9 years of experience in industrial/consulting or related areas is needed with at least 5 years of supply chain advanced analytics solutions design and delivery experience. Good to have global client experiences. Ideal candidates should have a bachelors degree preferably in Industrial/ Production/ Statistics/ Economics etc. and masters degree in Statistics/ Economics/ Operations Management/ Supply Chain/ Data Science, etc. Certifications in any one or two of the areas will be an added advantage:Python, AI/ML, Optimization, Simulation, any of the cloud platforms (Azure/ GCP/ AWS). Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title Data Analyst Job Description Summary This role focuses on developing advanced analytics systems, uncovering growth opportunities through data analysis, and creating insightful reports and visualizations. It will involve close collaboration with managers to understand business needs, define KPIs, and deliver actionable insights that enhance performance and efficiency. Key responsibilities include data mining, predictive modeling, system evaluation, and maintaining robust data infrastructure to support strategic decision-making. Job Description Work closely with the Program manager (s) and department heads to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich insights to facilitate cross sell and upsell decisions through deep data mining Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources Providing technical expertise in data storage structures, data mining, and data cleansing. Build predictive analysis and churn analysis to impact revenue enhancement and retention INCO: Cushman Wakefield

Job Title: Industry & Function AI Decision Science Consultant S&C Global Network Management Level: 9 Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry & Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles & Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional & Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods & Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Accenture Qualification Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Brief About Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Brief About The Role An Engagement Manager has complete ownership and accountability for successful delivery of client projects and enabling growth for a particular client account. Own client outcomes across engagements, typically managing multiple projects in parallel and cross-sell new consulting work. An engagement Manager plays a pivotal role in leading and executing large global programs for various clients and bring thought leadership to build a roadmap/analytics strategy . Their roles and responsibilities include the following: Business Consulting and Client Relationship Management Build, deepen and broaden client relationships at senior executive levels in conjunction with account managers of our clients. This will be measured through growth of the account. Build and maintain strong relationships with key stakeholders across various geographies, domains, and business units, effectively managing expectations and ensuring alignment with project goals. Lead and oversee large-scale analytics programs from inception to completion, ensuring alignment with client objectives and delivering impactful solutions. Work closely with cross-functional teams to design innovative and scalable analytics solutions that address client challenges and drive competitive advantage. Serve as the primary point of contact for clients, understanding their business needs, providing strategic guidance, and delivering insights that drive business impact. Construct roadmaps to enable clients strategic vision to be realized through the power of AI, Engineering Design, by working closely with people across levels and communicating effectively Provide thought leadership in clients business planning sessions, lead proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation Stay abreast of industry trends, emerging technologies, and best practices in analytics and consulting, and contribute to thought leadership initiatives within the organization. Delivery Management Work with clients to understand key business challenges, formulate business problems and lead solution development and delivery on consulting engagements with a team project managers and consultants. Drive the execution of projects, ensuring adherence to timelines, budget, and quality standards while proactively identifying and mitigating risks. Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Successfully juggle the competing demands of multiple client projects simultaneously (including managing time and resources against changing priorities Build a highly engaged team and manage their careers, by inspiring colleagues, creating opportunities, building individuals capability and creating followership Experience in solving business problems leveraging data and AI in CPG Manufacturing domain is preferred Provide leadership and guidance to project teams, fostering a collaborative and high-performance culture, and ensuring the development and growth of team members. Demonstrated technical acumen across a range of AI, and Data Engineering tools and platforms, including experience in helping clients operationalize advanced analytics solutions at enterprise scale Operations and PL Management Manage PL of the account, meeting margins while ensuring revenue targets and client satisfaction measured through NPS Ensure timely and appropriate staffing for new engagements - plan hiring and staffing decisions Overall ensure operational and financial discipline inline with organization principles Business Development - Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Analytics Capability Development - Work with the team to help build cutting edge analytical approaches in the area of AI data analytics and develop into solutions that can be used for pitching to clients Should be able to independently work with finance and ops/PMO teams to smoothly conduct month end revenue accruals and invoicing processes Qualification Experience 10+ years of experience in analytics delivery and business consulting with at least 6+ years of leadership experience Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Proven experience in managing stakeholders at various levels, including C-suite executives, across multiple geographies. Excellent leadership and communication skills, with the ability to inspire and influence cross-functional teams and drive consensus. Strong analytical and problem-solving skills, with the ability to translate complex data and insights into actionable recommendations. Demonstrated ability to thrive in a fast-paced, dynamic environment and effectively manage competing priorities. Willingness to travel occasionally for client engagements (when feasible). Good thought leadership ability to structure solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment EDUCATION: BE / BTech, Masters / Not the right fitLet us know youre interested in a future opportunity by clicking Introduce Yourself in the top-right corner of the page or create an account to set up email alerts as new job postings become available that meet your interest!

The Company PayPal has been revolutionizing commerce globally for more than 25 years. Creating innovative experiences that make moving money, selling, and shopping simple, personalized, and secure, PayPal empowers consumers and businesses in approximately 200 markets to join and thrive in the global economy. We operate a global, two-sided network at scale that connects hundreds of millions of merchants and consumers. We help merchants and consumers connect, transact, and complete payments, whether they are online or in person. PayPal is more than a connection to third-party payment networks. We provide proprietary payment solutions accepted by merchants that enable the completion of payments on our platform on behalf of our customers. Our beliefs are the foundation for how we conduct business every day. We live each day guided by our core values of Inclusion, Innovation, Collaboration, and Wellness. Together, our values ensure that we work together as one global team with our customers at the center of everything we do - and they push us to ensure we take care of ourselves, each other, and our communities. Job Summary: Meet your team: This role sits within Credit card fraud risk strategy team of Global Fraud Prevention Org., focused on safeguarding our customers and business from evolving fraud threats. The team is responsible for developing and executing data-driven strategies to mitigate fraud in UK PPC portfolio. What do you need to know about the role: Global Fraud Prevention resides in the Global Risk Management (GRM) organization that supports various business lines in optimizing risk and rewards to enable profitable business growth. You will be working closely with global fraud risk professionals focusing on managing and mitigating fraud risk in the UK PayPal Credit Portfolio, Be a part of this fraud revolution and enjoy the journey being with PayPal s growing team. Why You ll Love It here: Impact: Your work directly influences the success and growth of PayPal s credit offerings. Learning: Expect to level up your analytical and problem-solving skills every day with more challenges to solve Growth: The credit card industry is constantly evolving, and you ll be right there on the cutting edge, sharpening your skills and new learnings along the way. Culture: We re a team of passionate professionals who love challenges and are always ready to celebrate a job well done. Job Description: Your way to impact: Own the areas of Transaction Fraud risk policy: Work on Broad area of projects from Card risk strategies, acquisition and payment risk strategies, all depending on the business need. Work closely with Stakeholders: this includes Credit Risk, Product, finance teams to optimize fraud strategies and portfolio performance. Proactively identify emerging fraud trends and propose mitigation strategies . Maintain and develop Monitoring and Alerting capabilities: to clearly monitor the PPC Card program health and simplify insights for key stakeholders. Present regular updates to senior leaders: on Portfolio Health, highlights, lowlights, and actionable insights. Your day to day: In this role you will have full ownership of portfolio and is responsible for end-to-end management of Fraud loss and decline rates. Works independently and proficiently. Accountable for own results. Collaborate with different teams to develop strategies for fraud prevention, loss savings, and optimize transaction declines . Analyze and assess risks to provide informed recommendations for mitigation strategies Prepare periodic KPI reports summarizing the business units risk and control environment for senior management What do you need to bring: 2-5 years of domain expertise Excellent Problem-Solving Skills : Strong judgment and the ability to think strategically, creatively, and practically to address complex challenges. Advanced Analytics expertise : Proficiency in SQL, Python, Advanced Excel, Tableau, and other analytics tools, with a proven track record of using them to solve real-world problems. Exceptional communication skills : Outstanding written, verbal communication abilities, capable of translating complex technical concepts into clear, actionable insights for diverse audiences Collaboration Influence : Strong ability to collaborate across teams, build relationships, and drive results through influence and teamwork Experience in Payments / Transaction risk management / Credit / Fraud Risk is a strong plus. ** We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please dont hesitate to apply. Preferred Qualification: Subsidiary: PayPal Travel Percent: 0 For the majority of employees, PayPals balanced hybrid work model offers 3 days in the office for effective in-person collaboration and 2 days at your choice of either the PayPal office or your home workspace, ensuring that you equally have the benefits and conveniences of both locations. Our Benefits: We have great benefits including a flexible work environment, employee shares options, health and life insurance and more. To learn more about our benefits please visit https://www.paypalbenefits.com . Who We Are: Click Here to learn more about our culture and community. Commitment to Diversity and Inclusion PayPal provides equal employment opportunity (EEO) to all persons regardless of age, color, national origin, citizenship status, physical or mental disability, race, religion, creed, gender, sex, pregnancy, sexual orientation, gender identity and/or expression, genetic information, marital status, status with regard to public assistance, veteran status, or any other characteristic protected by federal, state, or local law. In addition, PayPal will provide reasonable accommodations for qualified individuals with disabilities. If you are unable to submit an application because of incompatible assistive technology or a disability, please contact us at talentaccommodations@paypal.com . Belonging at PayPal: Our employees are central to advancing our mission, and we strive to create an environment where everyone can do their best work with a sense of purpose and belonging. Belonging at PayPal means creating a workplace with a sense of acceptance and security where all employees feel included and valued. We are proud to have a diverse workforce reflective of the merchants, consumers, and communities that we serve, and we continue to take tangible actions to cultivate inclusivity and belonging at PayPal. Any general requests for consideration of your skills, please Join our Talent Community . We know the confidence gap and imposter syndrome can get in the way of meeting spectacular candidates. Please don t hesitate to apply.

Power BI Developer Experience: 4-5 years Skills: Power BI Development, SQL About the Role: We are seeking a skilled Power BI Developer responsible for building robust, scalable, and insightful data visualizations and dashboards that support business decision-making. The ideal candidate will be comfortable working with stakeholders to understand requirements, transform raw data into meaningful insights, and optimize Power BI solutions for performance and usability. Key Responsibilities: Design, develop, and deploy interactive Power BI dashboards and reports based on business needs. Connect to various data sources (SQL databases, Excel, APIs) and ensure data is properly transformed for reporting. Write complex SQL queries to retrieve, clean, and manipulate data efficiently. Create and maintain data models, calculated columns, measures, and KPIs using DAX. Implement row-level security (RLS) and other security measures to protect sensitive information. Collaborate with business analysts, data engineers, and business stakeholders to gather and refine reporting requirements. Continuously optimize and improve dashboard performance through best practices in data modeling and visualization. Provide support for Power BI service administration, including workspace management, dataset refresh schedules, and permissions. Document processes, models, and solutions for knowledge sharing and governance. Required Skills Experience: 4-5 years of professional experience developing in Power BI. Strong proficiency in SQL (complex joins, subqueries, CTEs, window functions). In-depth experience with DAX (Data Analysis Expressions) and Power Query (M language). Solid understanding of data warehousing concepts, ETL pipelines, and dimensional modeling. Excellent visual storytelling skills ability to present data clearly and intuitively. Experience working with large and complex datasets. Strong troubleshooting and performance tuning skills. Preferred Qualifications: Microsoft Certified: Data Analyst Associate (PL-300) certification preferred. Experience integrating Power BI with Azure services (Azure Synapse, Azure SQL Database, etc.). Knowledge of scripting languages like Python or R for advanced analytics is a plus. Familiarity with Power Automate and Power Apps for automation and app development.

Job Title - S&C Global Network - AI - Supply Chain Analytics - Manager Management Level: 7-Manager Location: Chennai, CDC5B Must-have skills: Supply Chain Analytics Good to have skills: Ability to leverage design thinking, business process optimization, and stakeholder management skills. Job Summary : This role involves driving strategic initiatives, managing business transformations, and leveraging industry expertise to create value-driven solutions. Roles & Responsibilities: Provide strategic advisory services, conduct market research, and develop data-driven recommendations to enhance business performance. Professional & Technical Skills: - Relevant experience in the required domain. - Strong analytical, problem-solving, and communication skills. - Ability to work in a fast-paced, dynamic environment. Mandatory Skills: Must have: Good understanding of overall supply chain planning and operations of any of the industries (CPG, Life sciences, Pharma, Industrial, Resources) and connect it with analytics solutions. Deep understanding of advanced analytics solutions descriptive, diagnostic, predictive, prescriptive, and generative and hands-on experience in building models using machine learning, deep learning, Gen AI models. Strong experience in any one or two of the supply chain functions demand planning, inventory planning, S&OP, logistics planning, etc. Hands-on programming experience with any of the analytics tools, data bases and visualization tools and platforms (Python, PySpark, SQL, Bigdata tools, PowerBI/ Tableau). Strong written and oral communication skills. Good to have: SME in one or more of the supply chain functions Visualization packages like Tableau/ Power BI Exposure to tools like BY/ Anaplan/ o9/ Kinaxis /SAP IBP Experience in live data streaming and data ingestion tools. Additional Information: - Opportunity to work on innovative projects. - Career growth and leadership exposure. An expert in Supply chain/ manufacturing operations domain and Data Science skills. Responsible to solution architect, design, build, deploy, deliver, and monitor advanced analytics models for supply chain planning/operations analytics solutions areas such as asset reliability and maintenance, supply, procurement, inventory, spares, quality analytics, process analytics, simulation and mathematical optimization, demand, etc. planning. Interface with clients to understand engineering/business problems and translate it into analytics problems that shall deliver insights for action and operational improvements. Take initiatives and collaborate with different Accenture internal teams and support driving sales. Provide innovation and thought leadership support to build key capability areas such as tools & technology, new solutions in supply chain planning and assets & accelerators development. About Our Company | Accenture Qualification Experience: 12-14Years Educational Qualification: Any Degree

Job Title: Industry & Function AI Decision Science Consultant S&C Global Network Management Level: 9 Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry & Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles & Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional & Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods & Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Accenture Qualification Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

Job Title: Industry & Function AI Decision Science Consultant S&C Global Network Management Level: 9 Consultant Location: Primary - Bengaluru, Secondary - Gurugram Must-Have Skills: Data Science, AI, ML, Experience with cloud platforms such as AWS, Azure, or Google Cloud, Hands-on experience in programming languages like Python, R, PySpark, and SQL Good-to-Have Skills: Deep Learning Techniques (e.g. RNN, CNN), Visualization tools like Power BI and Tableau, Exposure to tools like ChatGPT, Llama 2, Hugging Face, etc. Job Summary : As an Industry & Function AI Decision Science Consultant, you will leverage your expertise in data science and Consumer Goods domain knowledge to design and deliver AI-driven solutions. Your role will include strategic analysis, project delivery, solution development, and technical execution to empower businesses with actionable insights and enable automated and augmented decision-making. Roles & Responsibilities: Conduct strategic analysis of the AI, analytics, and data maturity landscape for clients in the Consumer Goods domain Lead data science engagements, manage delivery teams, and build innovative AI capabilities Develop and implement advanced analytics solutions tailored to client requirements Utilize languages like Python, PySpark, R, and SQL for data wrangling and machine learning model development Leverage cloud technologies (Azure, AWS, GCP) to integrate and implement AI solutions Translate complex data into compelling narratives for effective data storytelling Mentor junior team members and contribute to thought leadership Professional & Technical Skills: Proficiency in Python, R, PySpark, and SQL Strong knowledge of traditional statistical methods, machine learning techniques, and deep learning Hands-on experience in Consumer Goods & Services domain Cloud integration skills with platforms like AWS, Azure, or Google Cloud Experience with optimization techniques (exact and evolutionary) Certifications like AWS Certified Data Analytics Specialty or Google Professional Data Engineer Familiarity with visualization tools like Tableau and Power BI Exposure to large language models (e.g., ChatGPT, Llama 2) Familiarity with version control systems like Git. Additional Information: The ideal candidate will have a strong educational background in data science, computer science, or a related field, along with a proven track record of delivering impactful AI-driven solutions in the Consumer Goods industry. About Our Company | Accenture Qualification Experience: Minimum 4-8 years of hands-on experience in data science with a focus on the Consumer Goods industry Educational Qualification: Bachelors or Masters degree in Statistics, Economics, Mathematics, Computer Science, or equivalent degree with Data Science specialization (from a premier institute)

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

Job Title Data Analyst Job Description Summary This role focuses on developing advanced analytics systems, uncovering growth opportunities through data analysis, and creating insightful reports and visualizations. It will involve close collaboration with managers to understand business needs, define KPIs, and deliver actionable insights that enhance performance and efficiency. Key responsibilities include data mining, predictive modeling, system evaluation, and maintaining robust data infrastructure to support strategic decision-making. Work closely with the Program manager (s) and department heads to understand and maintain focus on their analytics needs, including critical metrics and KPIs, and deliver actionable insights to relevant decision-makers Proactively analyze data to answer key questions for stakeholders or yourself, with an eye on what drives business performance, and investigate and communicate which areas need improvement in efficiency and productivity Create and maintain rich insights to facilitate cross sell and upsell decisions through deep data mining Define and implement data acquisition and integration logic, selecting an appropriate combination of methods and tools within the defined technology stack to ensure optimal scalability and performance of the solution Develop and maintain databases by acquiring data from primary and secondary sources Providing technical expertise in data storage structures, data mining, and data cleansing. Build predictive analysis and churn analysis to impact revenue enhancement and retention INCO: Cushman & Wakefield

Xylem is a Fortune 500 global water solutions company dedicated to advancing sustainable impact and empowering the people who make water work every day. As a leading water technology company with 23,000 employees operating in over 150 countries, Xylem is at the forefront of addressing the worlds most critical water challenges. We invite passionate individuals to join our team, dedicated to exceeding customer expectations through innovative and sustainable solutions. There are a couple of position open in our digital twin solution team. The selected candidates will participate in the implementation of the modules from requirement definition to deployment to solve the water challenges. They are expected to develop complex ETL processes to design an effective and high-performance data ingestion layer and also be exposed to complex algorithms to manage. Take on challenging tasks as needed with an eagerness to develop skills in new areas. List the essential functions and major activities in order of their importance. Participate in the development process from definition to deployment. Develop cutting-edge technologies to improve Xylem s software offering. Able to implement solutions using Python, Apache Nifi, Airflow, SQL/PLSQL . Take on challenging tasks as needed with an eagerness to develop skills in new areas. Ability to communicate effectively in writing and orally Part 2 Describe the Person Minimum professional and educational background desired BS in Computer Science or BE/B. Tech in Computer Science/Electronics & Communication or related fields or Master in Science in Software or MCA 5 to 7 years minimum of Python and Nifi development experience in a team environment Proven ability to develop back-end services in a large-scale, high-performance environment Describe the most important competencies required of the individual. Experience working with REST web services . Good knowledge about Threads. Extremely proficient in Python, Airflow, Apache Nifi, SQL/PLSQL . Experience with Micro service development and the application of DDD concepts Knowledge of tools such as JAXB, Jackson, and GSON. Experience in Maven and Docker Experience with SQL and RDBMS systems. Experience in Query tuning is good to have Experience in IOT applications Experience in Data heavy applications Experience with Agile methodology or similar lean startup approach to building software.

Project Role : Application Developer Project Role Description : Design, build and configure applications to meet business process and application requirements. Must have skills : SAP Plant Maintenance (PM) Good to have skills : AAAP (Accenture Advanced Analytics Platform)Minimum 3 year(s) of experience is required Educational Qualification : 15 years full time education Summary :As an Application Developer, you will engage in the design, construction, and configuration of applications tailored to fulfill specific business processes and application requirements. Your typical day will involve collaborating with team members to understand project needs, developing innovative solutions, and ensuring that applications are optimized for performance and usability. You will also participate in testing and troubleshooting to ensure that the applications function as intended, contributing to the overall success of the projects you are involved in. Roles & Responsibilities:- Expected to perform independently and become an SME.- Required active participation/contribution in team discussions.- Contribute in providing solutions to work related problems.- Assist in the documentation of application processes and workflows.- Engage in continuous learning to stay updated with the latest technologies and methodologies. Professional & Technical Skills: - Must To Have Skills: Proficiency in SAP Plant Maintenance (PM).- Good To Have Skills: Experience with AAAP (Accenture Advanced Analytics Platform).- Strong understanding of application development methodologies.- Experience with configuration and customization of SAP modules.- Familiarity with integration techniques for SAP with other systems. Additional Information:- The candidate should have minimum 3 years of experience in SAP Plant Maintenance (PM).- This position is based at our Bengaluru office.- A 15 years full time education is required. Qualification 15 years full time education

Its fun to work in a company where people truly BELIEVE in what they are doing! Were committed to bringing passion and customer focus to the business. Brief About Fractal Fractal Analytics is Leading Fortune 500 companies leverage Big Data, analytics and technology to drive smarter, faster and more accurate decisions in every aspect of their business. Fortune 500 companies recognize analytics is a competitive advantage to understand s and make better decisions. We deliver insight, innovation and impact to them through predictive analytics and visual storytelling. Brief About The Role An Engagement Manager has complete ownership and accountability for successful delivery of client projects and enabling growth for a particular client account. Own client outcomes across engagements, typically managing multiple projects in parallel and cross-sell new consulting work. An engagement Manager plays a pivotal role in leading and executing large global programs for various clients and bring thought leadership to build a roadmap/analytics strategy . Their roles and responsibilities include the following: Business Consulting and Client Relationship Management Build, deepen and broaden client relationships at senior executive levels in conjunction with account managers of our clients. This will be measured through growth of the account. Build and maintain strong relationships with key stakeholders across various geographies, domains, and business units, effectively managing expectations and ensuring alignment with project goals. Lead and oversee large-scale analytics programs from inception to completion, ensuring alignment with client objectives and delivering impactful solutions. Work closely with cross-functional teams to design innovative and scalable analytics solutions that address client challenges and drive competitive advantage. Serve as the primary point of contact for clients, understanding their business needs, providing strategic guidance, and delivering insights that drive business impact. Construct roadmaps to enable clients strategic vision to be realized through the power of AI, Engineering & Design, by working closely with people across levels and communicating effectively Provide thought leadership in clients business planning sessions, lead proposal and statement of work (SOW) development including defining business objectives, solution approach, scope, deliverables, client responsibilities, staffing roles, pricing, and risk mitigation Stay abreast of industry trends, emerging technologies, and best practices in analytics and consulting, and contribute to thought leadership initiatives within the organization. Delivery Management Work with clients to understand key business challenges, formulate business problems and lead solution development and delivery on consulting engagements with a team project managers and consultants. Drive the execution of projects, ensuring adherence to timelines, budget, and quality standards while proactively identifying and mitigating risks. Define standard metrics and KPIs for clients and establish processes to measure them. Responsible for the quality of delivery for the engagements as measured by relationship specific measures as well as Net Promoter Score (NPS). This would include, among other things, design & review of the solution, scaling and institutionalizing analytics in the client organization, high level of program management, and meeting all other engagement goals. Successfully juggle the competing demands of multiple client projects simultaneously (including managing time and resources against changing priorities Build a highly engaged team and manage their careers, by inspiring colleagues, creating opportunities, building individuals capability and creating followership Experience in solving business problems leveraging data and AI in CPG & Manufacturing domain is preferred Provide leadership and guidance to project teams, fostering a collaborative and high-performance culture, and ensuring the development and growth of team members. Demonstrated technical acumen across a range of AI, and Data Engineering tools and platforms, including experience in helping clients operationalize advanced analytics solutions at enterprise scale Operations and P&L Management Manage P&L of the account, meeting margins while ensuring revenue targets and client satisfaction measured through NPS Ensure timely and appropriate staffing for new engagements - plan hiring and staffing decisions Overall ensure operational and financial discipline inline with organization principles Business Development - Assist the global sales and consulting teams and coordinate with internal capability teams in pursuing ongoing leads / RFPs from solutioning standpoint. Analytics Capability Development - Work with the team to help build cutting edge analytical approaches in the area of AI & data analytics and develop into solutions that can be used for pitching to clients Should be able to independently work with finance and ops/PMO teams to smoothly conduct month end revenue accruals and invoicing processes Qualification & Experience 10+ years of experience in analytics delivery and business consulting with at least 6+ years of leadership experience Experience in design and review of new solution concepts and leading the delivery of high-impact analytics solutions and programs for global clients. Knowledge of advanced analytics and machine learning techniques such as segmentation/clustering, recommendation engines, propensity models, and forecasting to drive growth throughout the customer lifecycle. Should be able to evaluate and bring in new advanced techniques to enhance the value-add for clients Should be able to apply domain knowledge to functional areas like market size estimation, business growth strategy, impact of govt policies on product, strategic revenue management, marketing effectiveness Must have excellent project/program management skills and have experience managing multiple work streams and projects at one time Have business acumen to manage revenues profitably and meet financial goals consistently. Able to quantify business value for clients and create win-win commercial propositions. Proven experience in managing stakeholders at various levels, including C-suite executives, across multiple geographies. Excellent leadership and communication skills, with the ability to inspire and influence cross-functional teams and drive consensus. Strong analytical and problem-solving skills, with the ability to translate complex data and insights into actionable recommendations. Demonstrated ability to thrive in a fast-paced, dynamic environment and effectively manage competing priorities. Willingness to travel occasionally for client engagements (when feasible). Good thought leadership & ability to structure & solve business problems, innovating, where required Outstanding presentation and communication skills (Oral and written) with the ability to inspire others to make informed decisions. Must have the ability to adapt to changing business priorities in a fast-paced business environment EDUCATION: BE / BTech, Masters / If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! If you like wild growth and working with happy, enthusiastic over-achievers, youll enjoy your career with us! Not the right fit? 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The Group You ll Be A Part Of Global Information Systems - Enterprise Analytics and Engineering The Impact You ll Make As a lead Data Engineer in Enterprise Analytics group at Lam Research you will be responsible for designing and leading the data architecture and integration for multiple projects You will be writing the specs and designing the solutions and coordinate with the development team to support the business needs and collaborate with data architecture, business, and development teams. You will also guide application and business development teams in the analytics design of complex solutions and ensure that they are in alignment with the COE data principles, standards, strategies What You ll Do Design advanced Analytics applications using Microsoft Fabric , Pyspark , SparkSQL , Power BI, Synapse, SQL Warehouses including ETL pipelines using Microsoft Azure Platform Lead, analyze, design, and deliver big data centric analytics solutions and applications including statistical data models, reports, and dashboards in Microsoft/Azure tech stack Use leadership abilities to drive cross functional development on new solutions from design through delivery. Define, maintain, and promote the advanced analytics standards and processes as part of GIS Center of Excellence across the company Work with key stakeholders in product management and leadership to define strategy and requirements. Work with US teams to deliver supporting software and services in sync with launch timelines. Offer insight, guidance, and direction on the usage of emerging data analytics trends and technical capabilities Who We re Looking For Data Engineering lead with 7+ years of experience in Databricks / Pyspark Minimum of 8 years of related experience with a Bachelor s degree in computer science or equivalent; or 6 years and a Master s degree; or a PhD with 3 years experience; or equivalent experience. Preferred Qualifications 7+ years of strong experience in Databrics / Pyspark 7+ years of strong T-SQL experience 5+ years of experience in Designing, building, and launching extremely efficient & reliable data pipelines for movement of data to and from disparate source systems 2+ years of experience in working with Microsoft Azure and strong knowledge about ADLS, ADF, Data Bricks, SQL WH etc. 4+ years of building and launching new data models that provide intuitive analytics for the analysts and customers Must have strong experience in Data Warehouse ETL design and development, methodologies, tools, processes and best practices Experience in working with Power BI Excellent query writing skill and communication skills preferred Familiarity with common API s: REST, SOAP preferred Our Commitment We believe it is important for every person to feel valued, included, and empowered to achieve their full potential. By bringing unique individuals and viewpoints together, we achieve extraordinary results. Lam Research ("Lam" or the "Company") is an equal opportunity employer. Lam is committed to and reaffirms support of equal opportunity in employment and non-discrimination in employment policies, practices and procedures on the basis of race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex (including pregnancy, childbirth and related medical conditions), gender, gender identity, gender expression, age, sexual orientation, or military and veteran status or any other category protected by applicable federal, state, or local laws. It is the Companys intention to comply with all applicable laws and regulations. Company policy prohibits unlawful discrimination against applicants or employees. Lam offers a variety of work location models based on the needs of each role. Our hybrid roles combine the benefits of on-site collaboration with colleagues and the flexibility to work remotely and fall into two categories - On-site Flex and Virtual Flex. On-site Flex you ll work 3+ days per week on-site at a Lam or customer/supplier location, with the opportunity to work remotely for the balance of the week. Virtual Flex you ll work 1-2 days per week on-site at a Lam or customer/supplier location, and remotely the rest of the time.