1795 Data Mining Jobs - Page 10

Job Title: Lead Business Analyst Job Code: 10748 Country: IN City: Mumbai Skill Category: IT\Technology Description: Department Overview Global Markets Technology builds and maintains software solutions used by Global Markets Front and Middle office businesses. The business is spread across EMEA, US, Japan, AEJ, and emerging Markets like India, Brazil, and China. It deals in wide range of products including FX, Rates, Credit, Securitized Products, Equities, Futures & Options, FI/EQ Derivatives, and Prime Services including financing. The Trade Processing Derivatives and Lifecycle Management team encompassing multiple applications across the FIC (Fixed Income and Currencies) supporting the global trading platforms for trade capture and lifecycle management. The candidate will work in a very collaborative global team to deliver strategic change, enhancements, as well as support to maintain these critical Front Office systems. The team is front office focussed but has stakeholders in Sales, Traders, Finance, Risk, Operations, Regulatory, etc. Due to the core nature of the system, is often central to large firmwide initiatives. The candidate will work very closely in the regulatory reporting aspects of these systems. Department Overview Role Overview The successful candidate will join the Trade Processing Derivatives and Lifecycle Management team, which manages multiple applications across Fixed Income and Currencies (FIC) supporting global trading platforms for trade capture and lifecycle management. This front officefocused role involves collaboration with a global team to deliver strategic changes and system enhancements while maintaining critical front office systems. Candidate will be part of the global BA team in the trade processing stream. The position interfaces with diverse stakeholders including regulatory, front office, middle office and various other teach teams. Role & Responsibilities Requirement gathering, documentation, planning, implementation and release management Analysis, data mining, data extraction, investigation of production queries and user queries QA/UAT testing, working with QA team and regulatory operations team to ensure releases are well tested, seeking sign off from impacted systems Owning and improving functional and regression test pack Work closely with dev and QA team in putting together automation Work closely with global dev, qa and support teams Work closely with regulatory operations, front office, and crossfunctional IT teams Participate in firmwide strategic initiatives Support and enhance regulatory reporting frameworks Skill Set Essential: A committed team player who possesses strong analytical and problem solving skills along with good written and verbal communication skills. Able to work with people across different departments, countries and regions. Good communication skills (clear and concise). On the feet thinker who can quickly investigate and troubleshoot, if required, production related queries from various stakeholders. Ability to think logically and systematically to devise solutions that conforms to already existing system framework. Ability to exhibit high level of professionalism in team oriented environment. Technical: Good understanding of SQL and relational databases. Good understanding of SDLC and testing practices MS Excel ability to write and understand excel functions, macros and perform lookups Knowledge of basic UNIX commands Basic programming knowledge with handson experience in test automation Domain Exposure to finance domain, capital markets, FX, Rates FX business experience, comfortable with key business concepts. Risk or pricing experience. Nomura Leadership Behaviours: Leadership Behaviours Description Element Exploring Insights & Vision Comprehensively analyse the nature of the problems we face and set our focus toward the future vision Gather Intelligence Create a vision Identify an issue Making Strategic Decisions Analyse options and feasibility to resolve issues, in making judgments and recommendations Identify countermeasures Assess feasibility Make a judgment Inspiring Entrepreneurship in People Promotes the vision and goals to others in such a way that inspires commitment and independent contributions Influence Inspire Commit Elevating Organizational Capacity Maximize organizational productivity through leadership development and engagement Have an ownership in own development Support other s growth Encourage organizational growth Inclusion Respect diverse perspectives and promote psychological safety and the creation of a risk culture Foster psychological safety Encourage the active participation of all talent Foster a risk culture We are committed to providing equal opportunities throughout employment including in the recruitment, training and development of employees. We prohibit discrimination in the workplace whether on grounds of gender, marital or domestic partnership status, pregnancy, carer s responsibilities, sexual orientation, gender identity, gender expression, race, color, national or ethnic origins, religious belief, disability or age. *Applying for this role does not amount to a job offer or create an obligation on Nomura to provide a job offer. The expression "Nomura" refers to Nomura Services India Private Limited together with its affiliates.

Responsibilities: * Lead generation through data mining & marketing strategies * Manage sales team performance & results * Oversee web & app development projects * Drive business growth through new client acquisition

: The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Responsibilities: Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: Bachelor's degree in computer science, Engineering, or related field, or equivalent work experience. Proven 5-8 years of experienceas a Senior Data Engineer or similar role. Experience with big data toolsHadoop, Spark, Kafka, Ansible, chef, Terraform, Airflow, and Protobuf RPC etc. Expert level SQL skills for data manipulation (DML) and validation (DB2). Experience with data pipeline and workflow management tools. Experience with object-oriented/object function scripting languagesPython, Java, Go langetc. Strong problem solving and analytical skills. Excellent verbal communication skills. Good interpersonal skills. Ability to provide technical leadership for the team.

Capco, a Wipro company, is a global technology and management consulting firm. Awarded with Consultancy of the year in the British Bank Award and has been ranked Top 100 Best Companies for Women in India 2022 by Avtar & Seramount. With our presence across 32 cities across globe, we support 100+ clients acrossbanking, financial and Energy sectors. We are recognized for our deep transformation execution and delivery. WHY JOIN CAPCO You will work on engaging projects with the largest international and local banks, insurance companies, payment service providers and other key players in the industry. The projects that will transform the financial services industry. MAKE AN IMPACT Innovative thinking, delivery excellence and thought leadership to help our clients transform their business. Together with our clients and industry partners, we deliver disruptive work that is changing energy and financial services. #BEYOURSELFATWORK Capco has a tolerant, open culture that values diversity, inclusivity, and creativity. CAREER ADVANCEMENT With no forced hierarchy at Capco, everyone has the opportunity to grow as we grow, taking their career into their own hands. DIVERSITY & INCLUSION We believe that diversity of people and perspective gives us a competitive advantage. MAKE AN IMPACT Job TitleBig Data Engineer : The Senior Data Engineer will be responsible for designing, developing, and maintaining scalable data pipelines and building out new API integrations to support continuing increases in data volume and complexity. They will collaborate with analytics and business teams to improve data models that feed business intelligence tools, increasing data accessibility and fostering data-driven decision making across the organization. Responsibilities: Design, construct, install, test and maintain highly scalable data management systems & Data Pipeline. Ensure systems meet business requirements and industry practices. Build high-performance algorithms, prototypes, predictive models, and proof of concepts. Research opportunities for data acquisition and new uses for existing data. Develop data set processes for data modeling, mining and production. Integrate new data management technologies and software engineering tools into existing structures. Create custom software components and analytics applications. Install and update disaster recovery procedures. Collaborate with data architects, modelers, and IT team members on project goals. Provide senior level technical consulting to peer data engineers during data application design and development for highly complex and critical data projects. Qualifications: Bachelor's degree in Computer Science, Engineering, or related field, or equivalent work experience. Proven 5-8 years of experienceas a Senior Data Engineer or similar role. Experience with big data toolsPyspark, Hadoop, Spark, Kafka, Ansible, chef, Terraform, Airflow, and Protobuf RPC etc.. Expert level SQL skills for data manipulation (DML) and validation (DB2). Experience with data pipeline and workflow management tools. Experience with object-oriented/object function scripting languagesPython, Java, Go langetc. Strong problem solving and analytical skills. Excellent verbal communication skills. Good interpersonal skills. Ability to provide technical leadership for the team.

Senior Data Analyst Overview Johnson Controls is seeking an experienced Data Analyst to join our Global Marketing IT team. In this role, you will leverage your expertise in working with data across multiple business units, and stakeholders within a large global organization. You will play a critical role in supporting the Data development of a digital PIM solution that powers many of our go to market strategies. If you have a strong background in Data Analysis and experience in a complex, cross-functional environment we would like to hear from you. Key Responsibilities Perform data profiling to identify anomalies and ensure data integrity. Query and analyze the data to identify any trends. Review scheduled data tasks and on demand impacting the business strategies and determine appropriate solutions. The Data Analyst serves as the go-to person and a liaison between business end-user and development team to support data analysis and data alignment tasks for ingestion into the platform. Partner with Technical Architect to oversee and protect the data model of the PIM solution. Maintain the integrity of the platform and the data it holds to support business objectives. Oversee and maintain the deployment of data from a variety of data sources and types to Product Information Management (PIM) environments. Collaborate with stakeholders to design, build and load data files. Help generate reports and KPIs to help inform business users of relevant trends and issues for the data in their respective BUs. Manage data and maintain support on to ensure accuracy and effectiveness of data loaded into the PIM environments. Help to Design and maintain end-user training and Change Request tickets. Conduct testing, troubleshooting, and provide technical support as necessary. Performs all duties and responsibilities in a timely and effective manner in accordance with established company policies to achieve the overall objectives of this position. Qualifications 1. Bachelor s degree in Computer Science, or a related field. 2. 5+ years of experience as a Data Analyst or similar role, with a focus on digital/website/ecommerce development and data management within large, global organization. 3. Proven experience working within teams, specifically on development, content management, and digital projects. 4. Strong expertise in agile methodologies, with hands-on experience working in Scrum teams and with Agile project management tools (e. g. , Azure DevOps, JIRA, Confluence). 5. Cross-functional collaboration experience, working with stakeholders from marketing teams, IT departments, scrum teams, and development teams. 6. Exceptional communication skills, with the ability to translate complex technical concepts for non-technical stakeholders and vice versa. 7. Strong problem-solving and analytical skills, with the ability to prioritize business needs in a fast-paced, dynamic environment 8. Proficient in use of Microsoft Office Excel for data analysis and management 9. Enterprise Data Lake/Warehouse Data Mining, SAP, Oracle, SQL Server Database 10. Programming in C#, Python, SQL, . Net 11. Strong ability to adapt to and learn new applications/tools quickly

We are seeking a detail-oriented and analytical Data Analyst to join our team. The ideal candidate will be responsible for collecting, processing, and analyzing data to help drive strategic business decisions. You will transform raw data into meaningful insights using statistical tools and visualization software. Key Responsibilities: Collect, clean, and validate data from various sources to ensure accuracy and reliability. Create dashboards, reports, and visualizations using tools like advanced Excel & Power BI. Collaborate with business stakeholders to understand data needs and provide actionable insights. Develop and maintain databases, queries, and automated reporting processes. Present findings in a clear and concise manner to both technical and non-technical audiences. Monitor key performance indicators (KPIs) and suggest improvements. Support data governance and data quality initiatives. Required Skills & Qualifications: Bachelor’s degree Proven experience (1–3 years) as a Data Analyst or in a similar role. Proficient in SQL, Excel, and at least one data visualization tool (Power BI, , etc.). Knowledge of statistical analysis and data mining techniques. Strong analytical and problem-solving skills. Good communication skills for explaining insights to stakeholders. Call at 8146651512

Project description We are seeking a skilled AI Agentic Developer in implementing solutions within financial institutions. Responsibilities Build end-to-end Gen AI solutions develop, refine, and implement advanced Gen AI models and ensure the success delivery of projects Lead the integration of LLMs and LangChain into business processes. Utilize Python and other data manipulation languages proficiently to prepare and manipulate data. Understand the business requirements and translate into Gen AI solution design that successfully meets the business objectives. Collaborate with stakeholders, presenting findings to a non-technical audience and providing strategic recommendations. Stay current with technical and industry developments and standards to ensure effective and advanced applications of data analysis techniques and methodologies. Skills Must have Min Bachelor's degree in Computer science, Mathematics, Engineering, Statistics, or a related field. At least 3 years of experience with Generative AI, specifically with Large Language Models (LLM) and Langchain. Proficiency in Python and other applicable programming languages. Strong knowledge of machine learning, data mining, and predictive modeling. Excellent understanding of machine learning algorithms, processes, tools, and platforms. Possess strong problem-solving and strategic thinking abilities. Knowledge and experience in end-to-end project delivery, especially agile delivery methodologies or hybrid approaches Agentic AI / Generative AI solution design and implementation Exceptional communication, documentation and presentation skills and stakeholder management experiences Nice to have Knowledge of Agile

Job Timing : Monday-Friday : 3:00 PM to 12:00 AM ( 8:00 PM to 9:00 PM Dinner Break ) Saturday : 9:30 AM to 2:30 PM ( 1PM to 1:30 PM Lunch Break ) Job Description: As a Data Scientist specializing in AI and Machine Learning, you will play a key role in developing and deploying state-of-the-art machine learning models. You will work closely with cross-functional teams to create solutions leveraging AI technologies, including OpenAI models, Google Gemini, Copilot, and other cutting-edge AI tools. Key Responsibilities: Design, develop, and implement advanced AI and machine learning models focusing on generative AI and NLP technologies. Work with large datasets, applying statistical and machine learning techniques to extract insights and develop predictive models. Collaborate with engineering teams to integrate models into production systems. Apply best practices for model training, tuning, evaluation, and optimization. Develop and maintain pipelines for data ingestion, feature engineering, and model deployment. Leverage tools like OpenAI's GPT models, Google Gemini, Microsoft Copilot, and other available platforms for AI-driven solutions. Build and experiment with large language models, recommendation systems, computer vision models, and reinforcement learning systems. Continuously stay up-to-date with the latest AI/ML technologies and research trends. Qualifications: Required: Proven experience as a Data Scientist, Machine Learning Engineer, or similar role. Strong expertise in building and deploying machine learning models across various use cases. In-depth experience with AI frameworks and tools such as OpenAI (e.g., GPT models), Google Gemini, Microsoft Copilot, and others. Proficiency in machine learning techniques, including supervised/unsupervised learning, reinforcement learning, and deep learning. Expertise in model training, fine-tuning, and hyperparameter optimization. Strong programming skills in Python, R, or similar languages. Solid understanding of model evaluation metrics and performance tuning. Familiarity with cloud platforms (AWS, Azure, Google Cloud) and ML model deployment tools like TensorFlow, PyTorch, and Keras. Experience with MLOps tools such as MLflow, Kubeflow, and DataRobot. Strong experience with data wrangling, feature engineering, and preprocessing techniques. Excellent problem-solving skills and the ability to communicate complex ideas to non-technical stakeholders. Preferred: PhD or Master's degree in Computer Science, Data Science, Artificial Intelligence, or a related field. Experience with large-scale data processing frameworks (Hadoop, Spark, Databricks). Expertise in Natural Language Processing (NLP) techniques and frameworks like Hugging Face, BERT, T5, etc. Familiarity with deploying AI solutions on cloud services, including AWS SageMaker, Azure ML, or Google AI Platform. Experience with distributed machine learning techniques, multi-GPU setups, and optimizing large-scale models. Knowledge of reinforcement learning (RL) algorithms and practical application experience. Familiarity with AI interpretability tools such as SHAP, LIME, and Fairness Indicators. Proficiency in using collaboration tools such as Jupyter Notebooks, Git, and Docker for version control and deployment. Additional Tools & Technologies (Preferred Experience): Natural Language Processing (NLP): OpenAI GPT, BERT, T5, spaCy, NLTK, Hugging Face Machine Learning Frameworks: TensorFlow, PyTorch, Keras, Scikit-Learn Big Data Processing: Hadoop, Spark, Databricks, Dask Cloud Platforms: AWS SageMaker, Google AI Platform, Microsoft Azure ML, IBM Watson Automation & Deployment: Docker, Kubernetes, Terraform, Jenkins, CircleCI, GitLab CI/CD Visualization & Analysis: Tableau, Power BI, Plotly, Matplotlib, Seaborn, NumPy, Pandas Database : RDBMS, NoSQL Version Control: Git, GitHub, GitLab Why Join Us: Innovative Projects: Work on groundbreaking AI solutions and cutting-edge technology. Collaborative Team: Join a passionate, highly skilled, and collaborative team that values creativity and new ideas. Growth Opportunities: Develop your career in an expanding AI-focused company with continuous learning opportunities. Competitive Compensation: We offer a competitive salary and benefits package.

Job Responsibilities: Data Collection and Preparation: Collaborate with cross-functional teams, including domain experts, to collect and preprocess relevant data from multiple sources (e.g., healthcare records, financial transactions). Conduct thorough data analysis, cleaning, and feature engineering to transform raw data into usable formats for model development. Ensure data privacy and security compliance when handling sensitive data. Machine Learning Model Development: Design, build, and implement machine learning models tailored to solve specific business challenges Select appropriate datasets and data representation methods for various projects (e.g., time-series data, structured/unstructured data). Experiment with and optimize algorithms (e.g., supervised learning, unsupervised learning, anomaly detection) to improve model accuracy and efficiency. Perform statistical analysis, test different hypotheses, and fine-tune models using test results. Model Optimization and Evaluation: Evaluate model performance using various metrics (accuracy, precision, recall, F1 score, etc.) and apply techniques such as cross-validation, hyperparameter tuning Continuously improve models based on feedback, new data, and evolving business requirements. Ensure models can scale effectively in production environments. Model Deployment and Monitoring: Deploy machine learning models into production using cloud services (AWS, GCP, Azure) or containerized environments (Docker, Kubernetes). Oversee and monitor the performance of models in real-time, ensuring they provide accurate and actionable insights. Implement model retraining and continuous learning processes to maintain performance over time. Research and Innovation: Stay current with the latest developments in machine learning, AI, and relevant technologies by actively researching and experimenting with new algorithms, models, and techniques. Propose and integrate novel approaches into existing workflows to improve model accuracy, efficiency, and scalability. Required Qualifications: Technical Skills: Programming Languages : Proficiency in Python, Java, or R, with strong expertise in Python for machine learning tasks. Machine Learning Frameworks : Familiarity with TensorFlow, PyTorch, Keras, and scikit-learn for developing and optimizing models. Mathematics & Statistics : Strong foundation in linear algebra, calculus, probability, and statistics to understand and apply machine learning algorithms effectively. Big Data Technologies : Experience working with tools like Hadoop, Apache Spark for handling large datasets. Cloud Computing : Hands-on experience with cloud platforms such as AWS, GCP, or Azure for deploying and maintaining machine learning models. Version Control & Deployment : Proficient with version control tools like Git and experience in CI/CD pipelines for model deployment. Domain-Specific Knowledge (Desired): Healthcare/Medical Data : Understanding of medical datasets (e.g., patient records, diagnostic imaging) and how to build models for healthcare applications (e.g., predicting neurological disorders). Financial Data/Fraud Detection : Experience with financial transaction data and building systems for detecting fraudulent activity and financial anomalies (e.g., Anti-Money Laundering models). Soft Skills: Problem-Solving : Strong analytical and problem-solving skills, with the ability to approach challenges in creative and innovative ways. Communication : Excellent written and verbal communication skills, with the ability to explain complex machine learning concepts to non-technical stakeholders. Team Collaboration : Ability to work collaboratively in an interdisciplinary team, sharing knowledge and working towards common goals.

About Clarivate Clarivate provides innovative data and analytical solutions to the largest biopharmaceutical and medical technology companies in the world. Clarivates Medtech Data team harnesses real-world healthcare data and identifies meaningful insights from large data and metadata sources to help medical device companies make some of their most important business decisions. Who are you? You are passionate about data and have at least 2 years of hands-on experience wrangling through large data using SQL/ Python. You are also an effective communicator who can explain complex ideas using clear and concise language, including through written communication. You are comfortable collaborating with a diverse group of internal colleagues, including subject matter experts, product managers, sales leaders, technical experts, and other client-facing analysts. You are solution-oriented and understand the importance of timely execution while juggling multiple priorities. What will you do? Understand the worldview and pain points of Clarivate customers, working closely with the stake holders as a problem-solver. Effectively build, mine, and manage multiple datasets, which will be required for market modelling and analysis. Maintain existing Medtech product catalogs. Research and understand novel device markets, including major competitors, uses, and product segmentation. Evaluate data outputs for market trends and draw insights; correct any potential errors and issues. Identify opportunities and issues for data analysis and experiments, with bias towards driving customer delight. Work with clients to understand the business requirements and provide data driven insights. Contribute your vision; influence the evolution of our products, data models, and data usage strategy. What do you know? You have strong quantitative foundations, as evidenced by your educational and professional background. You are more than proficient with Excel, SQL and want to continue to improve your skills. You have a background and/or interest in Life Sciences and are keen to learn a lot more about medical devices and supplies in Latin American region. You know how to deliver an effective presentation. Requirements: Expertise in understanding data variables and connecting the dots in various datasets. Expertise in handling and manipulating large datasets. Proficiency with written and oral communications and must be able to communicate complex quantitative ideas to internal and external stakeholders. Should have handled short/long term projects end to end. Skills: Expertise in MS SQL. Strong MS Office and Excel skills is mandatory. Analytical Skills Ability to do secondary research and synthesize the findings. Problem solving ability. Education: Any graduate/ Post-graduate, B.E or M.Sc. in the disciplines of Biotechnology, Medical Electronics, Pharmacy preferred. Preferred (Good to have) skills: Understanding of Medtech data and Healthcare in the Latin American countries Exposure to Medtech or Claims/Pharmacy data. Experience working with data from data vendors. Expertise in anyone (or more) of the data analysis tools/languages such as R/Python is a plus. Work Mode: Hybrid, Monday to Friday 12:00 pm to 8:00 pm

Role - Data Analyst (Pyspark/SQL) Location - Bengalore Type - Hybrid Position - Full Time We are looking a Data Analyst who has strong expertise into PySpark & SQL Roles and Responsibilities Develop expertise in SQL queries for complex data analysis and troubleshooting issues related to data extraction, manipulation, transformation, mining, processing, wrangling, reporting, modeling, classification. Desired Candidate Profile 4-9 years of experience in Data Analytics with a strong background in PySpark programming language.

The Impact: As a senior member of the team, you will be collaborating and focusing on bringing together various stakeholders to drive Data Strategy Initiatives through the SDLC, ensuring technical solutions are sound and execute business strategies through client-centric mindset. The successful candidate will work within the context of a cross-functional team aligned with Data Stewards, Operations Managers, Product and its support functions and Agile Technology teams. The role requires excellent communication, project management, data analytics, conflict resolution, critical thinking, and stakeholder management skills to ensure quality and timely delivery of projects. Whats in it for you: Private Capital Markets data is in high demand, and our clients value our data driven approach. This is a great opportunity to further develop your business acumen by venturing into a mammoth world of S&P data and gain deep experience and expertise in the field of data exploration, data analytics. This role offers exposure to work with a group that is driven by principles and challenging roles that provide multiple paths for growth in different Private Markets data projects. Responsibilities: Manage the end-to-end delivery of the Private Markets data projects (requirements gathering and consultation, research & analysis, work sizing, developing the vision & roadmap, collaboration with Technology and Product teams on implementation) Develop business logics to integrate and transform various Private Capital Markets data facets from multiple sources into our internal data structures and perform User Acceptance Testing (UAT) for the same Work with Agile Technology teams to complete the design of various projects and processes/tools while partnering with other Content teams on the shared structures Collaboration with Product Teams on identifying key client needs and converting them into smaller business projects for successful implementation in backend structures Converting raw complex data into easy-to-understand information through data visualization and presenting the same to stakeholders Analyze and uncover inconsistencies in large amounts of data supplied by third-party providers by utilizing SQL knowledge and propose solutions to address them in S&P Global products Support BAU and client requests across all areas of the dataset What Were Looking For: Essential Qualifications: 6+ years of work experience including Data Strategy, management & governance, preferably in a financial market data intensive environment Sound knowledge about backend infrastructure and SDLC (tables/pipelines/loaders, etc.) Strong command in writing and developing SQL Queries (joins, exist/not-exist, group by, having, cast, etc.) Good understanding of S&P Products such as Capital IQ Pro, Capital IQ, Excel Plug-In, feeds, etc. Proactive attitude in problem identification/resolution and track record of successful delivery of complex projects, particularly in content-related domain Ability to work collaboratively across segments and cultures Comfortable working in a dynamic, fast-paced environment while handling multiple tasks Excellent time management skills, ability to meet strict deadlines Effective and Structured Communication/Presentation skills Willing to work evening shifts and flexible hours Preferred Qualifications: Familiarity with Private Capital Markets Data Project Management/Agile/Data Management Related Certification Working knowledge of Visualization Tools (Tableau, Power BI etc.) Experience in Data Mining, Analysis, AI/ML/Automation Basic understanding of Python

We are seeking engineers or applied scientists who have expertise in implementing data mining and machine learning systems to contribute to the development of an innovative online education platform that is tailored to the unique needs of each student. Your responsibilities will include: - Demonstrating a strong passion and enthusiasm for constructing scalable systems that can analyze extensive datasets and provide actionable insights. - Showcasing a proven track record of identifying connections within vast and seemingly unrelated datasets. - Displaying the ability to work with incomplete or imperfect data sets effectively. - Possessing knowledge of linear algebra and proficiency in manipulating data through matrix algorithms. - Having the capability to develop and interpret probabilistic models of intricate, multi-dimensional systems. - Demonstrating experience in quantitative analysis using Python. - Having familiarity with database technologies like SQL. - Showcasing solid programming skills in Java, C, C++, or Python. Preferred experience with the following technologies: - Collaborative filtering. - Decision trees and automatic tree generation. - Bayesian methods. - Clustering techniques including principal components analysis, k-means, etc. Desired qualifications include: - Proficiency in Hadoop or other MapReduce implementations. - Experience in semantic text mining or natural language processing. - Prior involvement in high-stakes information retrieval and statistical analysis, such as Bioinformatics or Fraud Detection. If you believe you meet these qualifications and are excited about this opportunity, please send your resume to info@zunopy.com.,

About Credit Saison India Established in 2019, Credit Saison India (CS India) is one of the country's fastest-growing Non-Bank Financial Company (NBFC) lenders, operating in wholesale, direct lending, and tech-enabled partnerships with other NBFCs and fintech companies. Its tech-enabled model, combined with strong underwriting capabilities, enables lending at scale to address India's significant credit gap, especially within underserved and underpenetrated segments of the population. CS India is dedicated to expanding as a lender and enhancing its offerings in India for the long term, focusing on MSMEs, households, individuals, and more. Registered with the Reserve Bank of India (RBI), CS India holds an AAA rating from CRISIL and CARE Ratings. Currently, CS India boasts a network of 45 physical offices, servicing 1.2 million active loans, managing an AUM exceeding US$1.5 billion, and employing approximately 1,000 professionals. As part of Saison International, a global financial company, CS India aligns with the mission of fostering resilient and innovative financial solutions through the integration of people, partners, and technology for positive impact. Saison International, headquartered in Singapore, operates across various countries including Singapore, India, Indonesia, Thailand, Vietnam, Mexico, and Brazil. Roles & Responsibilities: - Conduct portfolio analysis and monitor portfolio delinquencies at a micro level to identify segments, programs, locations, and profiles that are performing well or are delinquent. - Assist in developing credit strategies across the customer lifecycle, including acquisitions, management, fraud prevention, and collections. - Identify trends through comprehensive analytics on various portfolio cuts. - Provide analytical support for internal portfolio reviews and enhance portfolio quality. - Collaborate with the Product and Engineering teams to implement risk strategies effectively. - Work with the Data Science team to offer insights on key model variables and optimize risk models" cutoff points. - Gain a thorough understanding of various data sources, both traditional and alternate, and utilize them optimally in underwriting. - Demonstrate proficiency in unsecured credit products and convert business challenges into analytical solutions. Required Skills & Qualifications: - Bachelor's degree in Computer Science, Engineering, or a related field from a reputed institution (IIT/IIIT/NIT/BITS). - 2-5 years of experience in Data Science, Risk Analytics, or Risk Management, with a focus on building models, risk strategies, or generating risk insights. - Proficiency in SQL and other analytical tools/scripting languages like Python or R. - Deep understanding of statistical concepts, including descriptive analysis, experimental design, Bayesian statistics, confidence intervals, and probability distributions. - Proficient in statistical and data mining techniques, as well as machine learning techniques such as decision tree learning. - Experience working with both structured and unstructured data. - Preferred experience in Fintech or Retail/SME/LAP/Secured lending.,

In this internship, we are looking for individuals who are proficient coders and can adeptly solve coding problems. You may be assigned tasks ranging from simple to moderate complexity; however, the key aspect lies in your ability to articulate and explain the code you produce, enabling learners and developers worldwide to comprehend and learn from it. This opportunity will not only enhance your coding skills but also contribute to your research experience. As a Beginner and Intermediate Programmer, you will have the chance to work on assignments and projects of varying difficulty levels, which will allow you to uncover your hidden potential and evolve into a better version of yourself. The internship is entirely remote, offering you the flexibility and convenience of working from home. We prioritize project completion within the specified timeframe over monitoring your working hours. Minimum qualifications required for this role include a degree in Computer Science or a related technical field, or equivalent practical experience. Proficiency in coding using languages such as C, C++, Java, JavaScript, or Python is essential. Preferred qualifications involve experience in various domains such as Algorithms, Artificial Intelligence, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems. A strong foundation in computer science principles, encompassing data structures, algorithms, and software design, is highly valued. Proficiency in Python or JavaScript/AJAX, along with expertise in database design, SQL, and TCP/IP networking, is beneficial. The ability to work independently is also a key requirement. Selected interns will be responsible for: 1. Designing and implementing machine learning, information extraction, probabilistic matching algorithms, and models. 2. Leveraging programming skills and deep learning/AI expertise using Python, TensorFlow, and frameworks like Keras and PyTorch to address real-world challenges. 3. Developing AI solutions in the computer vision domain through the use of convolutional neural networks (CNN) and a blend of deep neural networks like CNN & RNN. 4. Solving object detection, recognition, and image classification issues using machine learning, deep learning algorithms, transfer learning methods, and techniques. 5. Employing innovative and automated strategies for data annotation, labeling, and augmentation, as well as active learning. 6. Providing online code assistance, code mentoring, and education-focused solutions. Ideal candidates for this position: - Should be available for a full-time (in-office) internship - Must commence the internship from 15th Jun'20 - Should commit to a duration of 6 months - Need to possess relevant skills and interests Perks of this position include a Certificate, Letter of recommendation, Flexible work hours, an Informal dress code, working 5 days a week, and access to Free snacks & beverages.,

We are looking for an Android Developer who can work independently and collaboratively with other app development and technical teams. As an Android Developer, you will be responsible for owning end-to-end feature development using the latest architecture and design patterns. Your role includes writing secure and performant code by closely collaborating with product, UX/UI, and backend teams. Additionally, you will be tasked with building reusable libraries, toolkits, and developer tools for usage across multiple mobile teams. Minimum qualifications for this role include a degree in Computer Science or a related technical field, or equivalent practical experience. Proficiency in coding in programming languages such as C, C++, Java, JavaScript, or Python is required. Preferred qualifications for the Android Developer position involve experience in various technical domains like Algorithms, Artificial Intelligence, Database, Data Mining, Distributed Systems, Machine Learning, Networking, or Systems. Proficiency in Object-Oriented Programming, a strong foundation in computer science with competencies in data structures, algorithms, and software design, coding skills in Python or JavaScript/AJAX, database design and SQL, and knowledge of TCP/IP and network programming are highly desirable. As an Android Developer, your role and responsibilities will encompass: - Understanding Google Android design principles and interface guidelines - Collaborating with cross-functional teams to define, design, and ship new features - Working with outside data sources and APIs - Unit-testing code for robustness, including edge cases, usability, and general reliability - Bug fixing and improving application performance - Implementing RESTful APIs to connect Android applications to back-end services - Designing and developing project ideas - Building and publishing applications in app stores - Creating and extending knowledge about the fast-moving Android mobile platform - Designing and developing advanced applications for the Android platform In return for your contributions, we offer perks such as certificates, letters of recommendation, flexible work hours, and potential job offers. If you have a passion for Android development and possess the necessary technical skills, we encourage you to apply and join our dynamic team.,

You will be responsible for various key areas in the procurement domain. Your primary responsibilities will include: Strategic Process & Concept Development: - You will design and implement (sub)concepts to support relevant Business Units, Workstreams, or Functions. - Your role will involve driving process harmonization and innovation within Procurement. Global Standardization & Optimization: - You will be tasked with developing and deploying standardized methods, tools, and processes on a global scale. Data-Driven Analysis & Decision Support: - Your responsibilities will include preparing and conducting data analyses to support procurement decisions. - You will utilize advanced techniques in Data Mining, Modeling, Machine Learning, and Visualization. Business Intelligence & Reporting: - Your role will involve designing and delivering dashboards and reports for data-driven decisions. Innovation, Trends & Benchmarking: - You will identify future trends, tools, and pilot new concepts within the procurement domain. Communication & Knowledge Transfer: - Sharing internal and external information with stakeholders will be an essential part of your role. Capability Building & Stakeholder Engagement: - You will conduct training sessions and collaborate with project teams to enhance capabilities and engage stakeholders effectively. Additionally, you should possess the following Desirable Added Competency - Center of Excellence (CoE) Leadership Potential: - Drive the strategic roadmap for procurement innovation and digital transformation. - Define and anchor best-in-class procurement standards and KPIs. - Lead capability-building and knowledge-sharing initiatives. - Act as a thought leader for procurement process and data excellence topics. Qualifications & Experience: - A Bachelor's or Master's degree in Business, Supply Chain, Engineering, Data Science, or a related field is required. - You should have 7+ years of relevant experience in Procurement, Data Analytics, or Process Management. - Familiarity with tools like Power BI, Tableau, Alteryx, Python, or SAP Analytics Cloud is desirable. - Knowledge of procurement processes (S2C, P2P, R2R) and ERP systems is necessary. - Strong communication, stakeholder management, and leadership skills are essential for this role.,

As an experienced professional in the field of US Revenue Cycle Management, you will be responsible for developing and executing strategic plans to achieve sales targets and expand the client base. Your role will involve identifying and pursuing new business opportunities through market research, networking, and cold-calling. Building and maintaining strong relationships with key clients, understanding their needs, and providing suitable solutions will be crucial. You are expected to adhere to all quality standards and processes while also assisting team members in developing their skills and driving them to achieve their daily targets. Lead generation, negotiations, contract development, and client presentations will be part of your responsibilities to ensure successful deal closures. Collaboration with cross-functional teams, including Operations and CRMs, will be necessary to implement business development initiatives effectively. Analyzing market trends and competitors" activities to identify growth opportunities will be a key aspect of your role. You will be required to prepare regular reports and updates on sales performance, pipeline, and opportunities. Additionally, your ability to handle team issues with unbiased views, work independently, and demonstrate data mining and lead generation skills will be essential. Requirements for this position include a Bachelor's degree in any stream, with a PG/Diploma in Marketing and International Business Development considered an added advantage. You should be willing to work in fixed US Shift (Night Shift) and onsite, with excellent English communication skills both verbally and in writing. Proficiency in MS Office tools like Word, Excel, and PowerPoint is required, along with the ability to prepare and manage sales pipelines and marketing plans. The ideal candidate will have proven experience in business development, sales, or a related field, with a track record of achieving sales targets. A strong understanding of market dynamics and customer requirements in the industry is necessary, along with excellent communication and interpersonal skills to build rapport with clients and internal teams. Strategic thinking, strong analytical skills, and the ability to develop creative solutions are qualities that will be beneficial in this role. Leadership abilities and proficiency in CRM software and the Microsoft Office Suite are also important aspects of this position. Job essentials include prior experience in business development within the Medical Billing Industry and managing a team of business development professionals. This role requires working from the office exclusively.,

You will be a part of Pfizer, where technology plays a crucial role in all operations. The digital and "data first" strategy is centered on implementing innovative and impactful technology solutions across various functions, ranging from research to manufacturing. Your contributions, whether in digitizing drug discovery and development, identifying innovative solutions, or streamlining processes, will have a substantial impact on numerous lives. In this role, your key responsibilities will include building, managing, and installing database management systems utilizing your technical expertise. You will also be involved in utilizing data mapping, mining, and transformation to develop robust databases, optimizing data storage, preparing system requirements, and designing database implementations. Additionally, you will contribute to moderately complex projects, managing your time effectively to meet set targets. Another significant aspect of the role involves evaluating, implementing, and managing global Cloud solutions. This will require close collaboration with the GBI Platform team and engaging with stakeholders to capture and translate requirements into approved projects. Minimum Requirements: - High school diploma (or equivalent) with 8+ years of experience, or associates degree with 6+ years of experience, or BA/BS with 2+ years of experience, or MBA/MS with any relevant experience. - Technical knowledge and hands-on experience with cloud infrastructure and BI/Analytics technologies. - Knowledge of Data warehousing concepts, Analytics, Extract, Transform and Load Databases. - Experience in Visualization tools and technical solution management tools. - Ability to quickly learn and apply new technologies. - Excellent verbal and communication skills. - Strong problem-solving skills and attention to detail. Preferred Requirements (Bonus Points): - Experience in Master Data Management. - Proficiency in SQL and other database query languages. - Familiarity with AWS services and cloud-based analytics solutions. - Experience with data governance and data quality management. - Strong project management skills. - Excellent teamwork and collaboration skills. Work Location Assignment: Hybrid Pfizer is an equal opportunity employer and complies with all applicable equal employment opportunity legislation in each jurisdiction in which it operates.,

Primary Responsibilities Verification of Financial details of the clients provided by the Analyst. Collecting, processing, and maintaining large sets of data. Execute projects of varying nature -- from as simple as data entry and mining, to as complex as lead generation. Maintains database by entering new and updated customer and account information. Prepare Minutes of Meetings (MOM) Financial review and analysis Competency / Skills Knowledge of financial statements Good data entry speed Prior experience in Audit/Rating preferred. Basic Knowledge in Excel Excellent written and verbal communication skills Please send your updated CV to Rajath.k@brickworkratings.com if you have relevant experience

Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do The Analytics and Modeling Senior Analyst/ Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst/ Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics.At their core, Analytics and Modeling Senior Analysts/ Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one.OUR COMMITMENT TO YOU:Youll benefit from our network of global communities and collaborative culture that will help you build technical and functional skills and capabilities. And because we serve more than 40 industries globally, youll have the opportunity to develop valuable industry-specific expertise.The scale of our capabilities and client engagementsand the unique way we innovate, operate and deliver valuewill give you the opportunity to deepen your existing skills even as you help create the latest technology trends. Youll have access to leading-edge technology.Accenture offers a comprehensive benefits package What are we looking for ACCOUNTABILITIES Answerable/Liable for successBusiness operations support to Services/ Markets including Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadershipData VisualizationReporting & AnalyticsDriving adoption of Standard Accenture toolsWorking in an agile way on demand change request, real time support for ad hoc reporting requestsQUALIFICATIONS Degrees, CertificationsAny graduate degree (or equivalent) required, full time MBA preferred4 6 years of post-education experience, with at least 4-5 years of relevant experienceStrong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BIStrong Knowledge of SQL, SSRS, Access, VBA will be highly preferred Roles and Responsibilities: RESPONSIBILITIES Tasks, functions, deliverables Performed Act as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvementsProvide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysisUse latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to businessIdentify process improvement opportunities to develop effective business solutionsDevelop process documentation, communications, and reports required to support leadershipFoster relationships and partner with internal teams, and external business functions to deliver business results Work with different stakeholders to gain input needed to drive key business discussions /outcomesBuild functional and technical skills foundationParticipate and contribute to regular team discussions and process improvement initiativesTake responsibility for personal skill development and career managementTOP REQUIRED BEHAVIORS AND SPreferably handled projects in the areas of data visualization and analyticsGood understanding of dashboards and scorecards for leadership review Preferably an expert on MS Excel & Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platformsAbility to multitask to meet deadlines and quality expectations Analytical/problem solving skillsAccuracy and attention to detail; prioritizes and plans work activitiesGood communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholdersExperience in handling global clients preferredWilling to go the extra mile for the team when requiredAbility to work under minimal supervision and guidanceWillingness to learn and deliver with a positive attitude Qualification Any Graduation

Job Title Data & AI Telecom Analytics Level 9 - S&C Global Network CMT Management Level:9 Consultant Location:Bangalore/Gurgaon/Hyderabad/Mumbai Must have skills: Data Science, Predictive Analytics, Model building, Model Production, Data Analysis, Data Visualization, Storytelling, Communication, Teamwork Good to have skills: Vertex AI, GEN AI, LLMs, RAGs Accenture Strategy & Consulting Global Network - Data & AI practice help our clients grow their business in entirely new ways. Analytics enables our clients to achieve high performance through insights from data - insights that inform better decisions and strengthen customer relationships. From strategy to execution, Accenture works with organizations to develop analytic capabilities - from accessing and reporting on data to predictive modelling - to outperform the competition As part of our Data & AI practice, you will join a worldwide network of over 20,000 smart and driven colleagues experienced in leading AI/ML/Statistical tools, methods and applications. From data to analytics and insights to actions, our forward-thinking consultants provide analytically informed, issue-based insights at scale to help our clients improve outcomes and achieve high performance. About Comms & Media practice within Strategy & Consulting: Comms & Media (C&M) is one of the Industry Practices within Accentures S&C Global Network team. It focuses in serving clients across specific Industries Communications, Media & Entertainment. Communications Focuses primarily on industries related with telecommunications and information & communication technology (ICT). This team serves most of the worlds leading wireline, wireless, cable and satellite communications and service providers Media & Entertainment Focuses on industries like broadcast, entertainment, print and publishing Globally, Accenture Comms & Media practice works to develop value growth strategies for its clients and infuse AI & GenAI to help deliver top their business imperatives i.e., revenue growth & cost reduction. From multi-year Data & AI transformation projects to shorter more agile engagements, we have a rapidly expanding portfolio of hyper-growth clients and an increasing footprint with next-gen solutions and industry practices. Roles & ResponsibilitiesA Telco domain experienced and data science consultant is responsible to help the clients with designing & delivering AI solutions. He/she should be strong in Telco domain, AI fundamentals and should have good hands-on experience working with the following: Ability to work with large data sets and present conclusions to key stakeholders; Data management using SQL. Propose solutions to the client based on gap analysis for the existing Telco platforms that can generate long term & sustainable value to the client. Gather business requirements from client stakeholders via interactions like interviews and workshops with all stakeholders Track down and read all previous information on the problem or issue in question. Explore obvious and known avenues thoroughly. Ask a series of probing questions to get to the root of a problem. Ability to understand the as-is process; understand issues with the processes which can be resolved either through Data & AI or process solutions and design detail level to-be state Understand customer needs and identify/translate them to business requirements (business requirement definition), business process flows and functional requirements and be able to inform the best approach to the problem. Adopt a clear and systematic approach to complex issues (i.e. A leads to B leads to C). Analyze relationships between several parts of a problem or situation. Anticipate obstacles and identify a critical path for a project. Independently able to deliver products and services that empower clients to implement effective solutions. Makes specific changes and improvements to processes or own work to achieve more. Work with other team members and make deliberate efforts to keep others up to date. Establish a consistent and collaborative presence with clients and act as the primary point of contact for assigned clients; escalate, track, and solve client issues. Partner with clients to understand end clients business goals, marketing objectives, and competitive constraints. Storytelling Crunch the data & numbers to craft a story to be presented to senior client stakeholders. Should be able to travel or relocate to Japan as per business requirement. Professional & Technical Skills: Overall 5+ years of experience in Data Science & at least 3 years in Telecom Analytics Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school Demonstrated experience in solving real-world data problems through Data & AI Direct onsite experience (i.e., experience of facing client inside client offices in India or abroad) is mandatory. Please note we are looking for client facing roles. Proficiency with data mining, mathematics, and statistical analysis Advanced pattern recognition and predictive modeling experience; knowledge of Advanced analytical fields in text mining, Image recognition, video analytics, IoT etc. Execution level understanding of econometric/statistical modeling packages Traditional techniques like Linear/logistic regression, multivariate statistical analysis, time series techniques, fixed/Random effect modelling. Machine learning techniques like - Random Forest, Gradient Boosting, XG boost, decision trees, clustering etc. Knowledge of Deep learning modeling techniques like RNN, CNN etc. Experience using digital & statistical modeling software (one or more) Python, R, PySpark, SQL, BigQuery, Vertex AI Proficient in Excel, MS word, Power point, and corporate soft skills Knowledge of Dashboard creation platforms Excel, tableau, Power BI etc. Excellent written and oral communication skills with ability to clearly communicate ideas and results to non-technical stakeholders. Strong analytical, problem-solving skills and good communication skills Self-Starter with ability to work independently across multiple projects and set priorities Strong team player Proactive and solution oriented, able to guide junior team members. Execution knowledge of optimization techniques is a good-to-have Exact optimization Linear, Non-linear optimization techniques Evolutionary optimization Both population and search-based algorithms Cloud platform Certification, experience in Computer Vision are good-to-haves About Our Company | Accenture Qualification Experience: Minimum 5+ year(s) of experience is required Educational Qualification: Masters (MBA/MSc/MTech) from a Tier 1/Tier 2 and Engineering from Tier 1 school

SEO analyst at element8 Location Calicut, India Salary 10000 - 30000 /month Job Type Full-time Date Posted June 16th, 2025 Apply Now View All Jobs Download File We are a leading digital agency based in Dubai. We are looking for a results-driven SEO analyst with at least 1.5 years of hands-on experience in an agency environment. The ideal candidate should have a strong understanding of SEO best practices, search engine algorithms, and a proven track record of improving organic rankings and traffic for multiple clients across different industries. Key Responsibilities: Develop and execute on-page and off-page SEO strategies for multiple client projects. Conduct technical SEO audits and implement fixes. Perform keyword research, competitor analysis, and content gap analysis. Optimize website content, landing pages, and blog articles for SEO. Create and manage backlink-building campaigns. Use tools like Google Analytics, Search Console, SEMrush, Ahrefs, Screaming Frog, etc. to track, analyze, and report on performance. Stay updated with the latest SEO trends and algorithm changes. Collaborate with content, design, and development teams to implement SEO recommendations. Prepare regular performance reports for clients and suggest improvements Requirements: 1.5+ years of experience in an SEO role within a digital marketing agency. Solid understanding of search engine algorithms and ranking methods. Experience with SEO tools like Ahrefs, SEMrush, Moz, Google Analytics, Google Search Console, etc. Proficiency in keyword research and data mining tools. Ability to work on multiple projects and clients simultaneously. Strong analytical skills and attention to detail. Good written and verbal communication skills. Basic understanding of HTML/CSS and website CMS platforms like WordPress is a plus. Preferred Qualifications: Google Analytics and/or Google Ads certification. Knowledge of local SEO and international SEO practices. Experience in content marketing or social media is an added advantage. Apply Now

Skill required: Analytics - Reporting Analytics Designation: Analytics and Modeling Senior Analyst Qualifications: Any Graduation Years of Experience: 5 to 8 years About Accenture Combining unmatched experience and specialized skills across more than 40 industries, we offer Strategy and Consulting, Technology and Operations services, and Accenture Song all powered by the worlds largest network of Advanced Technology and Intelligent Operations centers. Our 699,000 people deliver on the promise of technology and human ingenuity every day, serving clients in more than 120 countries. Visit us at www.accenture.com What would you do The Analytics and Modeling Senior Analyst/ Analyst will be responsible to deliver analytics to one of the Markets/ Services. Whether you re measuring sales performance, analyzing trends, data mining, or optimizing SQL queries, the Senior Analyst/ Analyst will be working with the cutting-edge technology and big datasets. Working in the Business Operations Data Integration team is a premier opportunity to develop a career in Business Analytics.At their core, Analytics and Modeling Senior Analysts/ Analysts are not only required to be strong in quantitative analysis, data visualization, enjoy coding but also want to balance that with their interest in business. The role requires them to think critically to tackle complex challenges, thrive in a fast-paced environment and seeking a high-growth opportunity where they will have an immediate impact on day one.OUR COMMITMENT TO YOUYoull benefit from our network of global communities and collaborative culture that will help you build technical and functional skills and capabilities. And because we serve more than 40 industries globally, youll have the opportunity to develop valuable industry-specific expertise.The scale of our capabilities and client engagementsand the unique way we innovate, operate and deliver valuewill give you the opportunity to deepen your existing skills even as you help create the latest technology trends. Youll have access to leading-edge technology.Accenture offers a comprehensive benefits package What are we looking for ACCOUNTABILITIES Answerable/Liable for successBusiness operations support to Services/ Markets including Business Intelligence & Analytics to produce analytics across multiple dimensions of business - Finance, Sales, Talent, Quality, Delivery, external competition and others as needed by the Market/ Service leadershipData VisualizationReporting & AnalyticsDriving adoption of Standard Accenture toolsWorking in an agile way on demand change request, real time support for ad hoc reporting requestsQUALIFICATIONS Degrees, Certifications Any graduate degree (or equivalent) required, full time MBA preferred4 6 years of post-education experience, with at least 4-5 years of relevant experienceStrong knowledge of advanced Excel, PowerPoint and at least one of the data visualization tools such as Power BIStrong Knowledge of SQL, SSRS, Access, VBA will be highly preferred Roles and Responsibilities: RESPONSIBILITIES Tasks, functions, deliverables Performed Act as a business partner to provide analytics, management operations support and reporting to Market/ Service Leads to help them run their portfolios, understand key performance metrics and drive performance improvementsProvide analysis for programs jointly as needed that include pipeline improvement, win/loss, account planning, profitability improvement analysis, chargeability analysisUse latest analytics and data visualization tools such as Power BI, for effective data representation to provide insights to businessIdentify process improvement opportunities to develop effective business solutionsDevelop process documentation, communications, and reports required to support leadershipFoster relationships and partner with internal teams, and external business functions to deliver business results Work with different stakeholders to gain input needed to drive key business discussions /outcomesBuild functional and technical skills foundationParticipate and contribute to regular team discussions and process improvement initiativesTake responsibility for personal skill development and career managementTOP REQUIRED BEHAVIORS AND S Preferably handled projects in the areas of data visualization and analyticsGood understanding of dashboards and scorecards for leadership review Preferably an expert on MS Excel & Macros and with prior experience or hands on in either one or more of the following - SFDC, SQL Server, Sales Analytics, SAP BI or any other Business intelligence platformsAbility to multitask to meet deadlines and quality expectations Analytical/problem solving skillsAccuracy and attention to detail; prioritizes and plans work activitiesGood communication in English (written and oral) and interpersonal skills. Ability to interact with international stakeholdersExperience in handling global clients preferredWilling to go the extra mile for the team when requiredAbility to work under minimal supervision and guidanceWillingness to learn and deliver with a positive attitude Qualification Any Graduation

Corporate: Light & Wonder’s corporate team is comprised of incredible talent that works across the enterprise, defying boundaries to provide essential services in an extraordinary manner to ensure the success of the organization and the well-being of employees. Position Summary This position , an IC role provides critical administrative support to the Compensation and Benefits (C&B) team to ensure smooth processing and administering of C&B programs & initiatives. Assist Compensation CoE in administering annual compensation programs and projects including merit increase, bonus/ variable payout, job evaluation, total rewards statements, etc. Act as a trusted advisor by partnering with Talent Acquisition and People Business Partners on compensation matters, conducting benchmarking analysis, and recommending compensation packages for new and existing roles. Assist in creating, applying, and maintaining market ranges by participating in and/or conducting salary surveys, perform survey job matching, and conduct ad-hoc benchmarking and market research as needed. Reviews existing and proposed statutory requirements governing compensation administration and recommends appropriate courses of action. May prepare special studies and recommendations on subjects such as incentive compensation, bonus plans, sales compensation or stock options. Reviews proposed salary adjustments for conformance to established guidelines, policies and practices . Assist in evaluating jobs, job descriptions and job architecture. Perform regular audits of the compensation data to verify accuracy and ensure consistent application of roles and market ranges. Actively conduct data analysis, data modeling and reporting; interpret results, present findings and recommend changes as needed. Actively contribute to building new reports, trackers, and databases related to compensation. Conduct market analysis to assess and update salary ranges. Perform financial modeling and cost analysis for current and proposed total rewards programs and initiatives. Accountable f or all C&B data for India and support for APAC. Liaises between the vendor & internal stakeholders to ensure smooth operations . Prepares C&B reports and trackers with accurate and up-to-date information to enable decision - making at a regular cadence. Assists in benefits programs review and administration to align with the Company’s rewards philosophy and local legislative requirement s . Tracks market intelligence/trends and conducts in-depth analysis to generate insights in an ongoing basis. Provides C&B advice on queries from business leaders and HR teams. Assists in ad hoc C&B projects and BAU and analysis globally and regionally as assigned. Support in administering the Reward & Recognition Program Ensuring on-time delivery of data and approvals by comp on WD. Qualifications Must have experience of 5+ years in handling compensation and benefits in prior roles. Must be familiar with standard concepts, practices, and procedures in the compensation field. Strong analytical and quantitative skills; Excellent attention to details. Excellent organization and time management skills. Work with moderate degree of supervision and autonomously within established procedures and practices. Self-motivated, team player with can do attitude . Exceptional skills in Microsoft Excel, data mining, report creation and power point. Prior workday experience. A bility to handle confidential and sensitive compensation and employee information with complete discretion. Advanced skills in Excel/Google Sheets and Tableau, PowerBI, or other analytics tools . Experience working for a global organization across multiple time zone