1826 Data Mining Jobs - Page 24

The Associate Manager, Compliance Analytics supports the development and implementation of compliance analytics across the global compliance organization. You will be responsible for designing and developing analytical solutions, generating insights, and fostering a culture of ethics and integrity. Your role will involve transforming data from multiple systems, designing the analytics approach, and executing the analytics. Your responsibilities will include designing, developing, and maintaining analytics to provide business insights, enabling risk-intelligent decisions, informing compliance risk assessment processes, and supporting remediation activities. You will be involved in scoping, gathering requirements, developing analytics models, validating and testing models, and communicating results to stakeholders for analytics projects. Additionally, you will support the execution of analytics initiatives to enhance the Global Compliance program and provide actionable insights through data and analysis to achieve business objectives. Furthermore, you will contribute to the development of standardized analytics processes and frameworks, including documentation and validation of work. You will also be responsible for setting up sustainable analytics solutions, including data pipelines and automated refresh schedules as necessary. Collaboration with compliance officers, IT, and stakeholders to understand business objectives and provide reliable and accurate reports, insights, and analysis to inform decision-making is an essential aspect of this role. As part of your duties, you will lead a culture of continuous improvement by enhancing existing databases, data collection methods, statistical methods, technology, procedures, and training. You will partner with data custodians and process experts to ensure the quality of data and definitions to support the building of reliable data models and analysis. Additionally, coaching and developing junior team members will be a key component of this role. To qualify for this position, you should have 8+ years of relevant work experience in Python, Advanced SQL, R, Azure, Databricks, PySpark, and PowerBI. A strong knowledge and experience in advanced analytics tools and languages to analyze large data sets from multiple sources are required. A BTech in Computer Science, IT, MSc in Mathematics/Statistics, or equivalent courses from an accredited university is necessary. You should possess a strong understanding of algorithms, mathematical models, statistical techniques, data mining, and experience implementing statistical and machine learning models. Experience with analyzing accounting and other financial data, as well as demonstrating excellent ability to exercise discretion and maintain confidentiality, are essential. Knowledge and experience with data transformation and cleansing, data modeling, and database concepts are also preferred.,

As a Data Analyst, your primary responsibility will be to extract, clean, and validate data from various sources. You will be tasked with collecting and organizing data sets to meet specific business requirements. In this role, you will utilize data mining techniques to identify trends, patterns, and insights that can provide valuable information to both internal and external stakeholders. You will also be involved in the creation of reports and dashboards to effectively communicate these findings. Proficiency in Excel is crucial for this position, as you will be expected to use advanced functions such as VLOOKUP, Pivot Tables, and Conditional Formatting to process and analyze data efficiently. Maintaining and updating data spreadsheets with accuracy and consistency will also be part of your daily tasks. Collaboration is key in this role, as you will work closely with team members and other departments to understand data requirements and deliver actionable insights. Effective communication of your findings to both technical and non-technical audiences is essential. Ensuring data integrity is a critical aspect of this role. You will be responsible for maintaining data security and confidentiality, as well as performing regular audits to uphold the integrity and accuracy of databases.,

The responsibilities for this role will include: - Conducting early assessment of segment level loss rates and taking prompt action on the segments. - Launching challenger segments and quantifying the expected benefit and loss from the same. - Having exposure to unsecured and secured lending. - Maintaining close interaction with the Product team for recommending changes in policies or workflows. - Demonstrating a detailed understanding of in-house systems and the ability to adapt legacy systems as needed. - Collaborating with teams such as Data Science, Product, and Business to establish and monitor underwriting strategies. - Taking portfolio action through offus behavior from bureau/alternate data triggers. - Monitoring implemented strategies to continuously assess business and risk impact. - Promoting a self-service culture by understanding trends and behaviors in Risk reporting and driving appropriate enhancements to maximize the utilization of reporting and analytics toolsets. - Effectively navigating complex problems and ensuring systematic problem-solving where risk issues are analyzed, options evaluated, and decisions aligned with BharatPe Values. In terms of interaction, the role involves collaborating with teams like Data Science, Product, Technology, and Business. The position requires a hands-on approach to risk segmentation and proactive risk assessment in the portfolio. The ideal candidate should possess a curious mind and the ability to assess acquisition and portfolio level risks. They should be able to constantly identify changes to be initiated and evaluate their impact on business and risk. Qualifications and Experience: - Minimum of 7 years of Risk Analytics or Portfolio Management experience in Financial Services/Fintech, preferably in Credit Card/Unsecured Loan. Skills and Know-how: - Hands-on experience in defining risk strategies, managing portfolios, and building risk models and policies, with strong problem-solving and analytical thinking skills. Behaviors: - A Growth & Tech-first Mindset, demonstrating aggressiveness, a 10x approach, and a focus on building for scale. - Proficiency in quantitative analysis, data mining, trend analysis, and creating insights within large data ecosystems. Proficiency in data tools like SQL/Python. - Experience with Alternate data alongside Bureau Data Management and designing Risk Strategies using the same. - Effective communication and Stakeholder management skills, with the ability to present viewpoints cogently and engage effectively with stakeholders ranging from external partners to CXOs.,

Supervise and lead the survey team to conduct surface and underground surveys for development and production activities. Ensure compliance with DGMS and other statutory requirements related to mine surveying. Mine Regulations, DGMS rules. Required Candidate profile Proficient in Total Station, GPS, AutoCAD, GIS, and survey software.Knowledge of Mine Regulations, DGMS rules, and environmental standards.Experience in open-cast or underground mining operations.

Senior Data Analyst Experience: Location - Hyderabad only (Ready to relocate to Hyd) Experience - 5-9 years Notice period - Immediate - 30 Days 5 Days WFO Model. 5-9 Years Experienced Data analytics with exceptional SQL scripting skills, SQL Development skills along with very strong Analytical, problem solving and stakeholder management skills as well as excellent communication skills Key Responsibilities: • To collect, interpret and analyze critical datasets • Interpret & Data Analysis Reporting Results using dashboards • Understand data and frame SQLs to collect, interpret and analyze the data to derive meaningful insights • Excellent communication skills • Should be able to troubleshoot issues and resolve per agreed SLA along with detailed RCA Review reporting infrastructure • Write SQL to create additional data sources, metrics and breakdowns • Strong analytical and data interpretation skills; detail-oriented, creative, persistent, and self-motivated. • Must be comfortable managing multiple projects while working under tight deadlines. Ability to learn quickly • Reporting custom formatted results to the relevant members of the business • Identifying and highlighting patterns and trends in data sets • Working alongside teams within the business or the management team to establish business needs • Defining new data collection and analysis processes • Project Planning and Set-up- Understand project scope Based on the analysis of the type of the project provide inputs on project methodology to senior stakeholders Required Skills: • Experience with product analytics tools • Excellent with Advanced SQL queries • Analyze and solve complex cases using process knowledge • Excellent critical thinking skills • Excellent verbal and written communication skills Good to Have Skills: • Good understanding of different programming languages • Experience with product analytics tools, such as Google analytics, Google data studio, Looker or GCP domain skills • Good Understanding and experience in Data mining • Managing a team of Data Analyst or IC Role

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators Experience: 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Delivery(RPA). Experience:3-5 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery. Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google Cloud Dataflow. Experience: 5-8 Years.

Role Purpose The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Network Operations - Utilities. Experience: 5-8 Years.

KIANA AI is a leader in Software Consulting Services, dedicated to harnessing the power of data to drive innovation and deliver exceptional value to our clients. We are seeking a highly skilled and experienced Senior Data Scientist to join our team and lead complex data-driven projects. Requirements Job Description: As a Senior Data Scientist, you will be responsible for developing advanced analytical models, leveraging machine learning techniques, and extracting actionable insights from large datasets. You will collaborate with cross-functional teams to solve challenging problems, improve decision-making processes, and contribute to the strategic direction of the company. Key Responsibilities: Lead the design, development, and implementation of advanced machine learning models and algorithms. Analyze large and complex datasets to uncover trends, patterns, and insights. Collaborate with business stakeholders to understand requirements and translate them into data-driven solutions. Develop and maintain data pipelines and ETL processes to ensure data quality and availability. Perform exploratory data analysis, feature engineering, and model validation. Communicate findings and insights through clear and concise visualizations and presentations. Mentor junior data scientists and provide technical guidance to the team. Stay up-to-date with the latest advancements in data science, machine learning, and artificial intelligence. Qualifications: Masters or Ph.D. in Data Science, Computer Science, Statistics, Mathematics, or a related field. Proven experience (5+ years) as a Data Scientist, with a track record of successful projects. Strong proficiency in programming languages such as Python or R. Expertise in machine learning frameworks (e.g., TensorFlow, PyTorch, scikit-learn) and libraries. Experience with big data technologies (e.g., Hadoop, Spark) and data visualization tools (e.g., Tableau, Power BI). Solid understanding of statistical methods, data mining techniques, and predictive modeling. Excellent problem-solving skills and the ability to work independently and as part of a team. Strong communication skills to effectively convey complex technical concepts to non-technical stakeholders. Preferred Skills: Experience in a specific industry (e.g., finance, healthcare, retail) is a plus. Familiarity with cloud platforms (e.g., AWS, Azure, Google Cloud) and their data services. Knowledge of natural language processing (NLP) and deep learning techniques. Experience with A/B testing and experimental design. About the Company This is placeholder text. To change this content, double-click on the element and click Change Content. Want to view and manage all your collections? Click on the Content Manager button in the Add panel on the left. Here, you can make changes to your content, add new fields, create dynamic pages and more. You can create as many collections as you need. Your collection is already set up for you with fields and content. Add your own, or import content from a CSV file. Add fields for any type of content you want to display, such as rich text, images, videos and more. You can also collect and store information from your site visitors using input elements like custom forms and fields. Be sure to click Sync after making changes in a collection, so visitors can see your newest content on your live site. Preview your site to check that all your elements are displaying content from the right collection fields.

Transforming the Future of Enterprise Planning At o9, our mission is to be the Most Value-Creating Platform for enterprises by transforming decision-making through our AI-first approach By integrating siloed planning capabilities and capturing millions even billions in value leakage, we help businesses plan smarter and faster This not only enhances operational efficiency but also reduces waste, leading to better outcomes for both businesses and the planet Global leaders like Google, PepsiCo, Walmart, T-Mobile, AB InBev, and Starbucks trust o9 to optimize their supply chains What you ll do for us The responsibilities include end-to-end o9 solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Design End to end solution design, configuration, implementation, data analytics, testing of solution and communication with internal and external stakeholders Participate in process and business requirements sessions with client and document to-be business process leveraging industry best practices Work with clients to identify and collect data, such as historical sales, shipment, inventory, logistics, and other operations / supply chain data from sources like databases, Excel sheets, emails, and others Ability to convert business logic to technical platform design, including knowledge of platform infrastructure Configuration Work closely with architects and directors to develop clear functional and technical design, document data requirements, and build complex datasets Configure a technical specification document and tool configuration in the o9 platform, as per the design, to solve deep operations / supply chain problems and institute rigorous performance monitoring systems Data Analytics Use mathematical models, predictive methods, statistical techniques, optimization algorithms and simulations to analyze, manipulate and interpret large enterprise data and provide business insights and data visualization to the client management Be proficient in statistical and optimization tools and programming languages to conduct data integration through extraction, transformation, and loading (ETL) and create models to generate time series forecasts and operational plans Testing Work with internal Research and Development teams to resolve solution gaps and deploy fixes in the customer environment Create and execute workflow and data analytics test-cases, document issues, and track progress at resolving issues Ability to design and implement a testing protocol, with support from junior analysts, with the end goal of automating testing Communication Work with client, cross-functional teams, and IT and business stakeholders, to ensure successful planning and execution of projects Plan, develop and deliver Super User and End User training, for a global user base Mentor junior analysts to familiarize them with technical and business aspects of a project What you ll have Education: Master s Degree required with 1 year of experience or Bachelor Degree with 3 years experience Degrees in the following fields: in Operations Research, Industrial Engineering, Engineering Management, Business Analytics or related fields with a concentration in operations or analytics Experience: implementing supply chain planning solutions or working in the supply chain/ logistics organization Experience presenting on complex topics in a clear, concise, and easily understood manner Firsthand experience leading, or assisting a team, through the full lifecycle of a supply chain planning solution implementation including business requirement gathering, solution design & development, UAT/SIT, go-live/cutover and value realization is preferred Experience using agile methodology to deliver large scale enterprise implementations Skills: Statistical, Optimization and Simulation skills through software tools and packages like R, SAS, CPLEX or similar is preferred Knowledge of spreadsheets and software (Microsoft Excel, Google Sheets), document processing (Microsoft Word, Google Docs), presentation (Microsoft PowerPoint) is required Knowledge and training in databases (SQL Server, MySQL) and skills one or more languages like SQL, MDX, T-SQL or similar is required Strong analytical techniques, data mining knowledge and proficiency in handling and processing large amounts of data is preferred Ability to identify key insights and critical thinking to prioritize and focus on the highest value opportunities or the biggest risks is preferred More about us Our platform, the o9 Digital Brain, is the premier AI-powered, cloud-native platform driving the digital transformations of major global enterprises including Google, Walmart, ABInBev, Starbucks and many others Our headquarters are located in Dallas, with offices in Amsterdam, Paris, London, Barcelona, Madrid, Sao Paolo, Bengaluru, Tokyo, Seoul, Milan, Stockholm, Sydney, Shanghai, Singapore Munich, Toronto More about us At o9, transparency and open communication are at the core of our culture Collaboration thrives across all levels hierarchy, distance, or function never limit innovation or teamwork Beyond work, we encourage volunteering opportunities, social impact initiatives, and diverse cultural celebrations With a $37 billion valuation and a global presence across Dallas, Amsterdam, Barcelona, Madrid, London, Paris, Tokyo, Seoul, and Munich, o9 is among the fastest-growing technology companies in the world Through our aim10x vision, we are committed to AI-powered management, driving 10x improvements in enterprise decision-making Our Enterprise Knowledge Graph enables businesses to anticipate risks, adapt to market shifts, and gain real-time visibility By automating millions of decisions and reducing manual interventions by up to 90%, we empower enterprises to drive profitable growth, reduce inefficiencies, and create lasting value o9 is an equal-opportunity employer that values diversity and inclusion We welcome applicants from all backgrounds, ensuring a fair and unbiased hiring process Join us as we continue our growth journey!

The person in this role will be a strong influencer who will ensure goal alignment with Technology, Operations, and Finance teams. This role will serve as the face of the organization to global stakeholders. This position requires a results-oriented, high-energy, dynamic individual with both stamina and mental quickness to be able to work and thrive in a fast-paced, high-growth global organization. Excellent communication skills and executive presence to get in front of VPs and SVPs across Amazon will be imperative. Key Strategic Objectives: Amazon is seeking an experienced leader to own the vision for quality improvement through global address management programs As a Business Intelligence Engineer of Amazon last mile quality team, you will be responsible for shaping the strategy and direction of customer-facing products that are core to the customer experience As a key member of the last mile leadership team, you will continually raise the bar on both quality and performance You will bring innovation, a strategic perspective, a passionate voice, and an ability to prioritize and execute on a fast-moving set of priorities, competitive pressures, and operational initiatives You will partner closely with product and technology teams to define and build innovative and delightful experiences for customers You must be highly analytical, able to work extremely effectively in a matrix organization, and have the ability to break complex problems down into steps that drive product development at Amazon speed You will set the tempo for defect reduction through continuous improvement and drive accountability across multiple business units in order to deliver large scale high visibility/ high impact projects You will lead by example to be just as passionate about operational performance and predictability as you will be about all other aspects of customer experience The successful candidate will be able to: Effectively manage customer expectations and resolve conflicts that balance client and company needs. Develop process to effectively maintain and disseminate project information to stakeholders. Be successful in a delivery focused environment and determining the right processes to make the team successful. This opportunity requires excellent technical, problem solving, and communication skills. The candidate is not just a policy maker/spokesperson but drives to get things done. Possess superior analytical abilities and judgment. Use quantitative and qualitative data to prioritize and influence, show creativity, experimentation and innovation, and drive projects with urgency in this fast-paced environment. Partner with key stakeholders to develop the vision and strategy for customer experience on our platforms. Influence product roadmaps based on this strategy along with your teams. Support the scalable growth of the company by developing and enabling the success of the Operations leadership team. Serve as a role model for Amazon Leadership Principles inside and outside the organization Actively seek to implement and distribute best practices across the operation 3+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with data modeling, warehousing and building ETL pipelines Experience writing complex SQL queries Experience in Statistical Analysis packages such as R, SAS and Matlab Experience using SQL to pull data from a database or data warehouse and scripting experience (Python) to process data for modeling Experience with AWS solutions such as EC2, DynamoDB, S3, and Redshift Experience in data mining, ETL, etc and using databases in a business environment with large-scale, complex datasets

Here, your voice and ideas matter, your work makes an impact, and together, you will help us define the future of American Express. Function Description: The AIM (Analytics, Investment & Marketing Enablement) team a part of GCS Marketing is the analytical engine that enables Global Commercial business portfolio of American Express. Accelerating growth momentum, increasing profitability, and powering up our value proposition are key objectives for this organization. The team enables GCS Marketing business by providing actionable insights to drive business strategy and growth. This Analyst (Band 30) role would be based in Gurgaon (India) and would be focused on driving sentinel measurement Analytics spanning across channels and product offerings from Amex. Key Responsibilities include: Support and enable the business partners with campaign measurements, ROI analysis and actionable data driven insights for acquisition & engagement treatments in GCS Develop analytical solutions for GCS business teams by gathering requirements from stakeholders, performing data analysis, presenting results Accurate, timely and efficient delivery of monthly results reporting for marketing & sales leadership Keen on exploration and analysis of data from various data sources, translate the same to excellent visual case studies. Quick learner quick to understand the business and support pilot projects amidst ambiguity Collaborate with functional leaders, business partners and senior leaders to assess business needs, evaluate project feasibility, ensure data integrity, and provide actionable recommendations in times of constant change Build a solid relationship/partnership with Marketing Stakeholders, drive projects end to end with full accountability and growth mindset Minimum Qualifications: Degree in a quantitative field preferred e.g. B. Tech; BSc/MSc Statistics, Bachelors/master s in economics Knowledge of Hive, Python, PySpark, SQL encompassing data manipulation and statistical modeling/data-mining techniques Strong analytical aptitude and technical skills Project Management Excellent verbal, written, and interpersonal communications skills with an ability to formulate and communicate results & methodologies in a clear and compelling way A demonstrated ability to work in high-pressure situations with minimal errors An optimistic and growth mind-set with a tremendous will to win Should be able to function with minimum supervision with high sense of ownership Should be comfortable with flexible shift timings to support Global Partners Strong technical and problem-solving skills Strong communication and interpersonal skills Ability to analyze large amounts of data and create innovative solutions Ability to work effectively in a team environment Ability to learn quickly and work independently with complex, unstructured initiatives Ability to challenge the status quo and drive innovation Preferred Qualifications: 1-2 years of relevant experience with strong knowledge of skills like Python, SQL & Advanced Excel required; R also good to have. Good knowledge of statistical techniques like hypothesis testing, regression, KNN, t test, chi-square test Relevant experience in campaign measurement/marketing analytics is a plus Experience in marketing analytics and campaign measurement preferred; relevant industry experience preferred We back you with benefits that support your holistic well-being so you can be and deliver your best. This means caring for you and your loved ones physical, financial, and mental health, as well as providing the flexibility you need to thrive personally and professionally:

. Minimum Bachelor of Engineering (BE) required Develop and implement machine learning algorithms for various projects, with a focus on the financial and banking domain. Utilize expertise in bias and variance algorithms to enhance model accuracy and performance Develop and apply techniques for Explainability, Privacy, and fairness in AI models and Generative AI. Use case development including building AI applications, such as Deep learning, LLM/RAG/finetuning, NLP, computer vision and pattern recognition. Design and implement cloud solutions, build MLOps Pipeline on cloud (AWS, Azure, or GCP) and on-prem setup along with CI/CD Pipelines. Design and develop NLP-based applications and system using DL, neural networks and chatbots or AI agents. Work with data mining toolkits like NLP, Semantic Web, NLTK, and information retrieval libraries like Lucene, SOLR. Build CI/CD pipelines orchestration by GitLab CI, GitHub Actions, Circle CI, Airflow or similar tools Data science model review, run the code refactoring and optimization, containerization, deployment, versioning, Testing and Automation and monitoring of Model s quality Deploy the Responsible AI technical framework to Cloud. Build and maintain databases such as NoSQL dbs, Vector Dbs, and object storages. Identify ways of embedding AI/ML services into enterprise architecture seamlessly. Keep abreast of the latest AI/ML threats, vulnerabilities, and countermeasures. Monitor and evaluate model performance, making necessary adjustments to improve accuracy and efficiency. Communicate with a team of data scientists, data engineers and architect, document the processes Stay up to date on emerging AI technologies, framework and methodologies.

Analyst - Product Data & Analytics Our Purpose We work to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart and accessible. Using secure data and networks, partnerships and passion, our innovations and solutions help individuals, financial institutions, governments and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. We cultivate a culture of inclusion for all employees that respects their individual strengths, views, and experiences. We believe that our differences enable us to be a better team - one that makes better decisions, drives innovation and delivers better business results. ? Mastercard is a global technology company in the payments industry. Our mission is to connect and power an inclusive, digital economy that benefits everyone, everywhere by making transactions safe, simple, smart, and accessible. Using secure data and networks, partnerships, and passion, our innovations and solutions help individuals, financial institutions, governments, and businesses realize their greatest potential. Our decency quotient, or DQ, drives our culture and everything we do inside and outside of our company. With connections across more than 210 countries and territories, we are building a sustainable world that unlocks priceless possibilities for all. Our Team As consumer preference for digital payments continues to grow, ensuring a seamless and secure consumer experience is top of mind. Optimization Solutions team focuses on tracking of digital performance across all products and regions, understanding the factors influencing performance and the broader industry landscape. This includes delivering data-driven insights and business recommendations, engaging directly with key external stakeholders on implementing optimization solutions (new and existing), and partnering across the organization to drive alignment and ensure action is taken. Are you excited about Data Assets and the value they bring to an organization? Are you an evangelist for data-driven decision-making? Are you motivated to be part of a team that builds large-scale Analytical Capabilities supporting end users across 6 continents? Do you want to be the go-to resource for data science & analytics in the company? Role Expertise in creating ETL pipelines, ad hoc reporting and data visualizations. Work closely with global & regional teams to architect, develop, and maintain advanced reporting and data visualization capabilities on large volumes of data to support analytics and reporting needs across products, markets, and services. Act as the direct owner for major sections of the process contributing to a larger role. Translates client/ stakeholder needs into technical analyses and/or custom solutions in collaboration with internal and external partners, derive insights and present findings and outcomes to clients/stakeholders to solve critical business questions. Responsible for developing data-driven innovative scalable analytical solutions and identifying opportunities to support business and client needs in a quantitative manner and facilitate informed recommendations / decisions. Accountable for delivering high quality project solutions and tools within agreed upon timelines and budget parameters and conducting post- implementation reviews. Contributes to the development of custom analyses and solutions, derives insights from extracted data to solve critical business questions. All About You 4+ years of experience in data management, data mining, data analytics, data reporting, data product development and quantitative analysis. Experience in automating and creating data pipeline via tools such as Alteryx, SSIS. Expertise in Data visualization tools (Tableau, Domo, and/or Power BI/similar tools). Experience with data validation, quality control and cleansing processes to new and existing data sources. Advanced SQL skills, ability to write optimized queries for large data sets. Experience on Platforms/Environments: Cloudera Hadoop, Big data technology stack, SQL Server. Bachelor s or Master s Degree in a Computer Science, Information Technology, Engineering, Mathematics, Statistics, M.S./M.B.A. preferred Additional Competencies Excellent problem solving, quantitative and analytical skills. In depth technical knowledge, drive and ability to learn new technologies. Strong attention to detail and quality. Team player, excellent communication skills. Creativity/Innovation Self-motivated, operates with a sense of urgency Able to prioritize and perform multiple tasks simultaneously

Required Experience: 10-15 Years Key Responsibilities: Design and architect advanced Mobility Core network functions and Network Services applications for IP multimedia systems and packet data, integrating HSS and UDR to manage subscriber data and authentication effectively. Develop and optimize database solutions supporting network functions, ensuring efficient data storage, retrieval, and security for subscriber and network data. Lead the design, development, and integration of HSS and UDR components within Mobility Core networks to enhance subscriber management, authentication, and authorization processes. Develop new products and technologies, focusing on system and platform architecture, hardware and software engineering, technical security, and QA design and certification. Conduct comprehensive analysis in data mining, data visualization, network design and optimization, market and financial analysis, operations research, and decision support systems. Collaborate with client project teams to deliver Mobility Cloud platforms, CI/CD workflow automation, Big Data solutions, and Azure DevOps (ADO) integration. Develop and implement cloud computing and data analytics solutions using Microsoft Azure. Code and develop software using Python, R, JavaScript, SQL, Unix shell, Ansible, and Java, with a focus on database interactions and network data processing. Manipulate and analyze data using libraries such as Pandas and NumPy. Utilize tools and technologies including Git, Docker, Kubernetes, YAML, and JSON. Translate core architecture requirements into technical solutions, ensuring functionality, performance, and reliability through engineering models and software development across the vertical stack. Design, develop, document, and analyze technology systems, ensuring the maximum reuse of target state platforms such as APIs, data fabric, data routers, HSS, and UDR. Engineer integrated hardware and software solutions that meet performance, usability, scalability, reliability, and security requirements. Coordinate the design, specification, and integration of total systems and subsystems, including database and subscriber management components. Assess and recommend algorithms and products to enhance current systems through proof of concept evaluations. This is a hands-on role that requires a combination of technical expertise, strategic thinking, and collaborative skills to deliver high-quality applications and services. The successful candidate will be responsible for driving the development of robust and scalable network solutions that meet business and technical requirements, leveraging deep knowledge of database systems, HSS, and UDR to optimize subscriber data management. Location: IND:KA:Bengaluru / Innovator Building, Itpb, Whitefield Rd - Adm: Intl Tech Park, Innovator Bldg Job ID R-74057 Date posted 07/10/2025

Are you interested in diving deep into the data and engineering the metrics model that drives continuous improvement for Amazon s eCommerce systems? Do you have solid problem-solving abilities, metrics-driven decision making and want to solve problems with solutions that will meet the growing worldwide need for Amazon s products? Then eCommerce Services is the team for you. We are part of building the worlds best, most reliable, and most feature-rich eCommerce platform that provides customers the best experience possible and are looking for a top-notch Senior Business Intelligence Engineer. In eCommerce Services (eCS), we build systems that span the full range of eCommerce functionality, from Privacy, Identity, Purchase Experience and Ordering to Shipping, Tax and Financial integration. eCommerce Services manages several aspects of the customer life cycle, starting from account creation and sign in, to placing items in the shopping cart, proceeding through checkout, order processing, managing order history and post-fulfillment actions such as refunds and tax invoices. eCS services determine sales tax and shipping charges, and we ensure the privacy of our customers. Our mission is to provide a commerce foundation that accelerates business innovation and delivers a secure, available, performant, and reliable shopping experience to Amazon s customers. We are looking for an experienced and technically skilled individual to join our Data Engineering and Analytics team as a Business Intelligence Engineer (BIE). The ideal candidate will be an analytical, results-oriented, self-motivated, and customer-focused Business Intelligence Engineer who will play a key role in continuous improvement for the critical systems that enable our entire retail business. The role will also include surfacing key product metrics as well as building critical data pipelines and analytics tools to improve efficiency and quality of strategic business decisions. Defining, developing and maintaining critical business and operational metrics reviewed on a weekly, monthly, quarterly, and annual basis. Analysis of historical data to identify trends and support decision making, including written and verbal presentation of results and recommendations. Collaborating with software development teams to implement analytics systems and data structures to support large-scale data analysis and delivery of reports. Identifying data needs and driving data quality improvement projects. Thought leadership on data mining and analysis. Understanding the broad range of Amazon s data resources, which to use, how, and when. Mining and manipulating data from database tables, simulation results, and log files. 2+ years of analyzing and interpreting data with Redshift, Oracle, NoSQL etc. experience Experience with data visualization using Tableau, Quicksight, or similar tools Experience with one or more industry analytics visualization tools (e.g. Excel, Tableau, QuickSight, MicroStrategy, PowerBI) and statistical methods (e.g. t-test, Chi-squared) Experience with scripting language (e.g., Python, Java, or R) Bachelors degree in engineering, statistics, computer science, mathematics, or a related quantitative field Masters degree, or Advanced technical degree Knowledge of data modeling and data pipeline design Experience with statistical analysis, co-relation analysis

As an Equifax Model Performance Monitoring Analytics Consultant you will play a pivotal role in the Model Governance function within Data and Analytics (D&A). You will deliver and manage Model Governance projects, including complex modelling monitoring and supporting ongoing validation assignments. You will provide consultancy and have engagement with key stakeholders such as Core and Client Analytics, Product, Compliance and Data Privacy. As a Model Performance Monitoring Analytics Consultant you will have expert knowledge of the way scorecards and models are built, having worked on a number of developments across several verticals. Your Model performance monitoring outputs will be presented and reviewed at the Equifax Analytics Governance body the Analytics Council. As an Equifax Model Performance Monitoring Analytics Consultant you will : Develop and implement monitoring systems for statistical models using proven experience in statistical model development and in-depth analytical and modeling expertise, leveraging CRA data assets. Manage all stages of Model Performance Monitoring projects, including design, development, and execution, to meet quality standards and project timelines. This encompasses all model types, such as logistic regression and Machine Learning techniques. Support the Equifax business with technical model monitoring and validation expertise and consultancy, leading to constructive and effective working relationships with other departments and business units including model owners, model developers, platform owners, marketing, technology, compliance, legal and business owners. Lead the implementation of on-going step improvements in Equifax model performance monitoring software and processes / procedures. Communicate analytical Model performance results to cross functional stakeholders and senior Analytics leaders. The role involves using data mining tools and programming languages SQL and Python to prepare data for analysis and business decision making. Understand of the regulatory landscape with respect to CRA Model Performance Monitoring and the potential impact to our clients What you ll do Works in Data and Analytics to independently design projects to meet business needs Leverage advanced techniques to create code that is optimized, efficient, repeatable and scalable Use analytical insights to develop solutions, improved processes and work with counterparts in the business to implement proposed solutions Understand ingestion prioritizations, analyze, understand and prepare complex and new data sources and incorporate them into project design. Acts as a domain and/or technical lead to more junior members Package, summarize, visualize and perform storytelling on analytical findings and results for management and business users Solve complex internal or customer analytical problems across various business domains and areas of expertise Ability to talk to impact and strategic importance of findings on the business (either Equifax or external customer) and recommend appropriate course of action; ability to advocate to implementation of solutions and improved processes as well as share the qualitative and quantitative elements to drive value and share the "so what out of the analysis being performed. Ensure proper use of Equifax data assets by working closely with data governance and compliance professionals What experience you need BS degree in a STEM major or equivalent discipline 5-7 years of experience in a related analyst role Cloud certification strongly preferred Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis. Experience working with non-technical partners to explore new capabilities and data monetisation opportunities Model development experience in the Retail banking sector or Credit Reference Agencies strongly preferred What could set you apart Experience in a credit risk / model development environment developing statistical models, with hands on detailed analytic & modelling expertise, ideally leveraging CRA data assets Experience in scorecard monitoring Experience in the use of credit bureau data Experience in programming languages SAS, SQL and Python in a credit risk environment Strong written and verbal communication and consulting skills, with the ability and confidence to present to business partners and senior management Proficiency with Google suite or MS Office (docs/Word, sheets/Excel, slides/PowerPoint) Experience with model risk management and/or compliance Expertise in scorecard validations within a given industry sector Previous analytical consultancy in a big data environment Exposure to machine learning techniques Experience with data visualization tools. Cloud experience using GCP or Amazon AWS Primary Location: IND-Pune-Equifax Analytics-PEC IND-Pune-Equifax Analytics-PEC-Remote Function: Function - Data and Analytics Schedule: Full time

At Prodigal, we re reshaping the future of consumer finance. Founded in 2018 by IITB alumni, our journey began with one bold mission: to eradicate the inefficiencies and confusion that have plagued the lending and collections industry for decades. Today, we stand at the forefront of a seismic shift in the industry, pioneering the concept of consumer finance intelligence. Powered by our cutting-edge platform, Prodigal s Intelligence Engine, we re creating the next-generation agentic workforce for consumer finance one that empowers companies to achieve unprecedented levels of operational excellence. With over half a billion consumer finance interactions processed and a growing impact on more than 100 leading companies across North America, we ve established ourselves as the go-to partner for organizations that demand more from their AI solutions. Our unparalleled experience, coupled with our trusted customer relationships, uniquely positions us to build generative AI solutions that will revolutionize the future of consumer finance. At Prodigal, we are driven by a singular, unrelenting purpose: to transform how consumer finance companies engage with their customers and, in turn, drive successful outcomes for all. About the Role Were seeking an exceptional AI product analyst who is obsessed with Data. In this role, you will be reporting directly to the CEO and will have an opportunity to create high impact. You would be responsible for mining diamonds from our data and driving data backed decisions across Product, applications and engineering teams. The role would require close collaboration with Data Science, Product, Engineering, Sales, and Marketing, Business Operations to identify growth opportunities, craft narratives that deepen our understanding of the business, forecast future performance, and build predictive models to effect positive business outcomes. You will lead all the efforts on AI product analytics in the entire organization. This role will be a one person team and the ideal candidate would be a strong communicator, can operate independently, would have high agency, ownership mindset and qualifies on our core values . What You Will Be Doing: Work with large and complex data sets to solve a wide array of challenging problems using different analytical and statistical approaches Apply technical expertise with quantitative analysis, experimentation, data mining, and the presentation of data to develop strategies for our products (through analyses such as cohort analysis, user personas and behavioral cohorting, forecasting, impact analysis). Define, understand, and test opportunities and levers to improve the product, and drive roadmaps through your insights and recommendations Partner with Product, Engineering, and cross-functional teams to inform, influence, support, and execute product strategy and investment decisions Deliver clear and compelling presentations to communicate findings and recommendations to multiple levels of stakeholders. Develop and automate reports, iteratively build and prototype dashboards to provide insights at scale, solving for analytical needs. Develop a comprehensive understanding of Prodigal s data structures and metrics, proactively identifying gaps, and championing improvements for both products and business activity, as well as external marketing spend trends What You Should Have: New grad from Tier 1 College OR 1 year of prior product analytics experience A degree in Engineering, Statistics, Math, Economics, Physics or other quantitative field (advanced degrees are a plus) Experience implementing statistical analysis and data wrangling using Excel, Python, SQL and Tableau Experience with statistical and machine learning methods to build descriptive and predictive models (huge bonus) Experience translating analysis results into product recommendations and business questions into an analysis framework Demonstrates high agency: proactively identifies problems, takes ownership of outcomes, and drives initiatives independently Eager to learn new tools and techniques, open to feedback, and continuously develops skills Comfortable working in ambiguous situations, with the ability to bring structure, clarity, and focus to loosely defined problems Job Benefits GenAI experience - Work directly in the innovative field of GenAI, shaping groundbreaking projects that redefine consumer finance intelligence. World-class team - Youll get the chance to learn from (and teach) some of the brightest and most skilled people youll ever meet. Our team members have been part of BCG, Deloitte, EY, Blackstone, Meta, Amazon and are IIT, IIM, BITS alumnus. Continuous education - As relentless seekers of knowledge, we sponsor and support any training materials, books, courses, and exam fees for upskilling yourself in areas related to your role - but thats not where it ends. If you make a good case for some extra learning, were delighted to foot the tab. Food at the office - Meals are on us. We wont let your stomach grumble while you hustle. Health insurance - Health always comes first. The health of your family is as important to us, as it is to you. We offer insurance coverage for both you and your family. Flexible schedule - Were not a "clock in, clock out" company. Morning person? Start work while the worlds still sleeping. Night owl? Ramp things up while others are winding down. Youre fully trusted to create the right conditions for your own personal peak productivity. We only ask that you be available to your teammates for seamless collaboration. Generous leave policy - Take all the time you need to recharge your batteries - no cap on vacation here. Because a rested, relaxed, and refreshed mind is a happy and effective mind. Recreation & team activities - We regularly indulge in friendly football, table tennis, cooking sessions and challenge each other to do those extra push ups or chug that 4th drink (of course that s Nimbu Pani). From day 1, Prodigal has been defined by talented, humble, and hungry leaders and we want this mindset and culture to continue to blossom from top to bottom in the company. If you have an entrepreneurial spirit and want to work in a fast-paced, intellectually-stimulating environment where you will be pushed to grow, then please reach out because we are looking to build a transformational company that reinvents one of the biggest industries in the US. To learn more about us - please visit the following: Our Story - https: / / www.prodigaltech.com / our-story What shapes our thinking - https: / / link.prodigaltech.com / our-thesis Our website - https://www.prodigaltech.com/

Not Applicable Specialism Data, Analytics & AI Management Level Senior Associate & Summary . In data analysis at PwC, you will focus on utilising advanced analytical techniques to extract insights from large datasets and drive datadriven decisionmaking. You will leverage skills in data manipulation, visualisation, and statistical modelling to support clients in solving complex business problems. Why PWC At PwC , you will be part of a vibrant community of solvers that leads with trust and creates distinctive outcomes for our clients and communities. This purposeled and valuesdriven work, powered by technology in an environment that drives innovation, will enable you to make a tangible impact in the real world. We reward your contributions, support your wellbeing, and offer inclusive benefits, flexibility programmes and mentorship that will help you thrive in work and life. Together, we grow, learn, care, collaborate, and create a future of infinite experiences for each other. Learn more about us . At PwC , we believe in providing equal employment opportunities, without any discrimination on the grounds of gender, ethnic background, age, disability, marital status, sexual orientation, pregnancy, gender identity or expression, religion or other beliefs, perceived differences and status protected by law. We strive to create an environment where each one of our people can bring their true selves and contribute to their personal growth and the firm s growth. To enable this, we have zero tolerance for any discrimination and harassment based on the above considerations. & Summary The role is part of the Data Observability Specialist, being part of Enabling Data Platforms, with the aim to ensure data systems remain reliable, transparent, and aligned with organizational goals, enabling other teams to confidently use data for decisionmaking and innovation. Chapter ensures that data systems, pipelines and models are monitored, traceable and optimized for reliability and performance. s Supporting the implementation of best practices and guidelines for data observability across the organization supporting the alignment of observability aligns with data governance, quality, and compliance frameworks acting as the bridge between data observability technology and business needs collaborating with data stewards, governance teams, and business units to ensure data is reliable, transparent, and accessible training and educating teams on data observability concepts and tools collaborating to define performance indicators (KPIs) for data health, including completeness, accuracy, timeliness and resources consumption supporting clear visibility into data lineage, helping teams understand the origin, transformation, and usage of data across the ecosystem partnering with Data Governance and Engineering teams to improve lineage tracking and documentation supporting business teams in understanding the impact of data anomalies and outages supporting the response efforts from a functional perspective, ensuring that businesscritical data remains available and trustworthy using lineage insights to trace root causes of data issues and prevent recurrence monitoring that observability practices align with internal policies and regulatory requirements (e.g., GDPR) providing functional insights on data lineage, security, and compliance implications monitoring that lineage tracking supports auditability and accountability for data governance. Mandatory skill sets Must have knowledge, skills and experiences 5+ years of experience in Data Management, Data Quality and possibly Data Engineering hands on experience working with data observability, data lineage, or data quality frameworks in largescale organizations hands on experience with data observability tools (e.g., Monte Carlo, Soda, Great Expectations, Collibra, Alation, Data Bricks) Preferred skill sets Good to have knowledge, skills and experiences a Bachelor s or Master s degree in Data Management, Computer Science, Information Systems, Business Analytics, or a related field strong understanding of data lineage, data quality metrics, and data monitoring methodologies experience with data platforms and cloud environments (AWS, Azure, or GCP) knowledge of SQL and ability to interpret technical data flows an understanding of ETL/ELT processes and how data moves across the organization strong problemsolving skills with the ability to analyze data issues and recommend functional improvements excellent communication and stakeholder management skills to translate technical insights into business value excellent written and verbal English familiarity with data observability tools good knowledge of data governance frameworks and standards. Good to have familiarity with data governance frameworks (e.g., DAMA DMBOK, DCAM) and regulatory compliance (e.g., GDPR) Years of experience required Experience and Qualifications 5+ Years Education qualification o BE, B.Tech, ME, M,Tech, MBA, MCA (60% above) Education Degrees/Field of Study required Bachelor of Engineering, Master of Business Administration, Master of Engineering Degrees/Field of Study preferred Required Skills Data Standardization Accepting Feedback, Accepting Feedback, Active Listening, Algorithm Development, Alteryx (Automation Platform), Analytical Thinking, Analytic Research, Big Data, Business Data Analytics, Communication, Complex Data Analysis, Conducting Research, Creativity, Customer Analysis, Customer Needs Analysis, Dashboard Creation, Data Analysis, Data Analysis Software, Data Collection, DataDriven Insights, Data Integration, Data Integrity, Data Mining, Data Modeling, Data Pipeline {+ 38 more} No

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like you’d make a great addition to our vibrant team. We are looking for a Data Science Engineer. This position is for Chennai Location. What do I bring You Should have: o Proficiency in Python, including libraries like pandas, NumPy, scikit-learn, PyTorch/TF, statsmodels o Deep hands-on experience in machine learning & data mining, proficiency in algorithms development and ability to work with complex infrastructures o Good understanding of time-series modeling, forecasting, anomaly detection o Working exposure to AI/ML & Data Science Algorithm development o Familiarity with cloud data platforms (AWS preferred) and data lake architecture o Ability to translate data findings into clear, actionable insights for dashboards or stakeholders o Strong data fundamentals & demonstrated ability to organize, clean, schematize and process data, as well as good understanding of how to use data science methodologies to solve complex problems o Will to be a team player o Ability to effectively communicate in English, both written and spoken Desirable to have o Working experience in Scala, Graph analytics o Hands-on experience with frontend technologies such as Angular, JavaScript or similar o Proven experience working with IOT/sensor data o Working experience in Agile software development (daily scrum, pair sessions, sprint planning, retro & review, clean code and self-organized), configuration, testing and release management o Experience in container concepts (Docker, Kubernetes) o Experience in GitLab Continuous Integration & Docker o Knowledge of Energy & Sustainability domain o International collaboration & working experience, with distributed virtual teams What do I take away Apart from the several other evident benefits, you would also enjoy the following opportunities: To collaborate with global software product development teams, comprising business analysts, product managers, product owners & architects, whose technical & domain expertise stretches over decades To be part of a highly disciplined and influential work culture, where an individual's decision and contribution directly attributes to the success factor of the business objectives, customer goals & users’ lives Hybrid working opportunity Diverse and inclusive culture Great variety of learning & development opportunities What are my responsibilities You take a challenging role in the development of a cloud-based offering with an easy-to-use interface that monitors, analyzes, and helps to optimize energy utilization of the buildings & campuses – via multi-site performance dashboards visualizing historical and near real-time series data for energy consumption, costs, and emissions values You need to develop tomorrow’s data-driven products for buildings, incl. predictive maintenance, prescriptive simulations, anomaly detection, system optimization and forecasts, by understanding & analyzing business requirements by interacting with stake holders You will investigate the most appropriate techniques to solve complex problems by assessing diverse mathematical, statistical and AI models You have to evaluate & implement advanced data analytics techniques in collaboration with the global Data Analytics team, Software Architects/Engineers and Product Managers You will need to collaborate with Software Engineers to ensure the smooth integration of data science products into global offerings You should analyze large volumes of data covering a wide range of information from building operational data to equipment and user behavior data, to identify new patterns through data mining and AI Join us and be yourself! We value your unique identity and perspective, recognizing that our strength comes from the diverse backgrounds, experiences, and thoughts of our team members. We are fully committed to providing equitable opportunities and building a workplace that reflects the diversity of society. We also support you in your personal and professional journey by providing resources to help you thrive. Come bring your authentic self and create a better tomorrow with us. Make your mark in our exciting world at Siemens. This role is based in Chennai and is an Individual contributor role. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. Find out more about Siemens careers at

Hello Visionary! We empower our people to stay resilient and relevant in a constantly changing world. We’re looking for people who are always searching for creative ways to grow and learn. People who want to make a real impact, now and in the future. Does that sound like youThen it seems like you’d make an outstanding addition to our vibrant team. Siemens Mobility is an independent run company of Siemens AG. Its core business includes rail vehicles, rail automation and electrification solutions, turnkey systems, intelligent road traffic technology and related services. In Mobility, we help our customers meet the need for hard-working mobility solutions. We’re making the lives of people who travel easier and more enjoyable while constantly developing new, intelligent mobility solutions! We are looking for Functional Excellence / Procurement Analyst You’ll make a difference by Design and implement (sub)concepts to support relevant Business Units, Workstreams, or Functions. Drive process harmonization and innovation across the Procurement organization. Translate strategic objectives into executable frameworks and toolkits. Develop and deploy standardized methods, tools, and processes globally. Prepare and conduct data analyses to support procurement decisions. Use advanced techniques in data mining, modeling, machine learning, and visualization. Monitor key metrics and generate insights to improve SCM KPIs like PTE and Cost Savings. Design, develop, and deliver dashboards and reports that support data-driven decision-making. Work with Power BI, Tableau, Alteryx, Python, or SAP Analytics Cloud for visual analytics. Coordinate closely with IT, Digitalization, and Analytics teams. Identify future trends in procurement and SCM; evaluate and pilot emerging tools and concepts. Benchmark Siemens practices against industry leaders and recommend improvements. Introduce automation and digital enablers for greater operational efficiency. Drive procurement-related sustainability projects (e.g., supplier ESG scoring, carbon tracking). Collaborate with suppliers and sustainability teams to build greener supply chains. Align with global Siemens sustainability goals and regulatory requirements. Share internal and external knowledge and market intelligence with stakeholders. Develop and disseminate toolkits, guides, and learning materials for easy adoption. Support leadership in presenting insights and strategies to global teams. Conduct training sessions and knowledge-sharing workshops for SCM teams. Desired Skills: Bachelor’s degree in supply chain management / Logistics required; Master’s degree preferred Minimum 8 years of relevant experience in Supply Chain and Logistics Deep understanding of domestic and international transportation modes & regulations, including complex rail and heavy haul transportation Deep expertise in local warehouse and export packaging regulations & processes Should have a minimum of 6-12 years of relevant experience in handling Project Procurement. Bachelor’s or master’s degree in supply chain, Business, Engineering, Data Science, or related fields. 3+ years of experience in Procurement, SCM, Process Management, or Analytics roles. Familiarity with procurement lifecycles (S2C, P2P, R2R), ERP (SAP), and digital tools. Demonstrated experience in data-driven transformation and digital solution deployment. Exposure to sustainability topics (e.g., ESG, circular economy, Scope 3 emissions). Strong communication and stakeholder management. Join us and be yourself! Make your mark in our exciting world at Siemens. This role is based in Bangalore. You might be required to visit other locations within India and outside. In return, you'll get the chance to work with teams impacting - and the shape of things to come. Find out more about mobility at

The position is with the Communication BU and you would be responsible for supporting our business operations and sales analysis. The role demands sales business intelligence, reporting and analytics skill. Through sales reporting and analytics, the team provides visibility into the BUs sales pipeline, integrating information from sales, customer and financial sources for a complete and detailed overview of the sales performance. Roles & Responsibilities Supporting Sales and Delivery operations, Manage numbers such as revenue, OB, Invoicing, Billing, COD etc. Strong understanding and knowledge of statistics and should be able to apply statistical tools in carrying out predictive analytics. Design , Execute and Manage Sales Analytics and Reporting for large enterprise for sales insights Provide actionable insights from huge volume of data (Both Structured and Unstructured) using Data Mining, Data Cleansing techniques. Analyze results and set up reports, design dashboards containing relevant KPI, measures that would enable senior management and sales force towards decision making. Business analysis, decision support and working within various reporting systems for enhanced sales execution. Communicate and provide relevant recommendations to key leadership stakeholders - Sales/Presales/Leadership through analytics while addressing real business problems/issues/challenges. Mandatory Skills: Project Management. Experience: 5-8 Years.

Adivid Technologies Private Limited is looking for Data Analyst to join our dynamic team and embark on a rewarding career journey Managing master data, including creation, updates, and deletion. Managing users and user roles. Provide quality assurance of imported data, working with quality assurance analysts if necessary. Commissioning and decommissioning of data sets. Processing confidential data and information according to guidelines. Helping develop reports and analysis. Managing and designing the reporting environment, including data sources, security, and metadata. Supporting the data warehouse in identifying and revising reporting requirements. Supporting initiatives for data integrity and normalization. Assessing tests and implementing new or upgraded software and assisting with strategic decisions on new systems. Generating reports from single or multiple systems. Troubleshooting the reporting database environment and reports. Evaluating changes and updates to source production systems. Training end-users on new reports and dashboards. Providing technical expertise in data storage structures, data mining, and data cleansing.

The purpose of this role is to interpret data and turn into information (reports, dashboards, interactive visualizations etc) which can offer ways to improve a business, thus affecting business decisions. Do 1. Managing the technical scope of the project in line with the requirements at all stages a. Gather information from various sources (data warehouses, database, data integration and modelling) and interpret patterns and trends b. Develop record management process and policies c. Build and maintain relationships at all levels within the client base and understand their requirements. d. Providing sales data, proposals, data insights and account reviews to the client base e. Identify areas to increase efficiency and automation of processes f. Set up and maintain automated data processes g. Identify, evaluate and implement external services and tools to support data validation and cleansing. h. Produce and track key performance indicators 2. Analyze the data sets and provide adequate information a. Liaise with internal and external clients to fully understand data content b. Design and carry out surveys and analyze survey data as per the customer requirement c. Analyze and interpret complex data sets relating to customers business and prepare reports for internal and external audiences using business analytics reporting tools d. Create data dashboards, graphs and visualization to showcase business performance and also provide sector and competitor benchmarking e. Mine and analyze large datasets, draw valid inferences and present them successfully to management using a reporting tool f. Develop predictive models and share insights with the clients as per their requirement Mandatory Skills: Google BigQuery. Experience: 3-5 Years.