2 Cds Viewssql Jobs

YASH Technologies is a leading technology integrator specializing in helping clients reimagine operating models, enhance competitiveness, optimize costs, foster exceptional stakeholder experiences, and drive business transformation, At YASH, were a cluster of the brightest stars working with cutting-edge technologies Our purpose is anchored in a single truth bringing real positive changes in an increasingly virtual world and it drives us beyond generational gaps and disruptions of the future, We are looking forward to hire SAC Professionals in the following areas : Position: SAP Analytics Cloud (SAC) Business Intelligence Consultant Experience: Minimum 5 years in Business Intelligence / Data Analytics, with at least 3 years in SAP Analytics Cloud, Overview We are seeking an experienced SAC BI Consultant to design, develop, and deliver high-quality analytics solutions The ideal candidate will have strong expertise in SAC and backend modelling, with hands-on skills in CDS Views or SAP Datasphere, data loading, job monitoring, and leveraging the SAC Excel Add-in for advanced reporting, Key Responsibilities Work with business stakeholders to gather requirements and design SAC dashboards and stories, Build, optimize, and maintain SAC data models (Live and Import connections), Load data into Import Models, schedule refreshes, and monitor job execution, Integrate SAC with SAP and non-SAP sources (e-g , BW/4HANA, S/4HANA, Datasphere), Develop KPIs using calculated measures, advanced formulas, and scripting, Prepare and model data using CDS Views or SAP Datasphere, Leverage SAC Excel Add-in for ad-hoc reporting, analysis, and data interaction, Ensure role-based data security and compliance, Conduct training, create documentation, and provide ongoing support, Monitor system performance and troubleshoot data or connectivity issues, Required Skills & Experience 5+ years of BI/Data Analytics experience, with at least 3 years in SAP Analytics Cloud, Strong skills in SAC story building, visualization, and data modelling, Experience in data loading to Import Models and job monitoring, Proficiency in CDS Views or SAP Datasphere for backend data modelling, Hands-on knowledge of SAC Excel Add-in usage, Solid understanding of SQL and data modelling concepts, Knowledge of SAC scripting (Advanced Formulas, Analytic Applications) is an advantage, Knowledge in SAC planning features is an added advantage, Strong communication and stakeholder management skills, At YASH, you are empowered to create a career that will take you to where you want to go while working in an inclusive team environment We leverage career-oriented skilling models and optimize our collective intelligence aided with technology for continuous learning, unlearning, and relearning at a rapid pace and scale, Our Hyperlearning workplace is grounded upon four principles Flexible work arrangements, Free spirit, and emotional positivity Agile self-determination, trust, transparency, and open collaboration All Support needed for the realization of business goals, Stable employment with a great atmosphere and ethical corporate culture

About Bright Money Bright is a consumer fintech that helps Americans get out of debt, with the power of data science and machine learning It is a mobile app that combines all the tools and tech needed to manage and get rid of debt, Brights tools include credit score building, automated debt paydown plans, financial planning, budget planning tools, and refinance loans It works with credit cards, student loans and car loans, Bright has had 6x growth in the last year, with 300,000 users, and more than 100,000 ratings and reviews Bright is backed by three major venture capital funds (Sequoia, Falcon Edge and Hummingbird) and with top angel investors from the US, UK and India, Bright has raised +$40 million in funding to date, Bright has recently raised $50M in debt funding from Encina Lender Finance, for its credit business growth Encina Lender Finance provides lending solutions to consumer and commercial speciality finance companies across the U S and Canada, Today we are among the top 8 US FinTech companies We will become a top-100 US financial institution, with the unique strength of data science and predictive modelling to enhance financial products for a users life outcomes, We will be the first at-scale Consumer Tech company, built in India for Global markets, About Our Founders: Bright was founded in 2019 by a founding team from McKinseys Banking Practice (Petko Plachkov and Avi Patchava) and InMobi Data Scientist (Avi Patchava, Varun Modi, Avinash Ramakath, Jayashree Merwade) Overview We are seeking a highly motivated Data Scientist I with a strong foundation in machine learning, statistics, and probability The ideal candidate will be capable of developing and productionizing machine learning models to solve practical business problems, Key Responsibilities Apply fundamental concepts of machine learning, statistics, and probability to design and develop predictive models, Collaborate with cross-functional teams (engineering, product, business) to transform business requirements into data-driven solutions, Productionize ML models, ensuring smooth deployment, scalability, and monitoring in real-world settings, Analyze large datasets using statistical and computational methods to extract actionable insights, Evaluate, tune, and interpret models for performance and business relevance, Document methodologies, workflows, and experiments for reproducibility and cross-team knowledge sharing, Required Qualifications Bachelors or masters degree in a quantitative field (Computer Science, Statistics, Mathematics, or similar), Strong understanding of ML/statistics/probability fundamentals (regression, classification, hypothesis testing, probability distributions, etc), Hands-on experience in one or more programming languages (Python, R, etc) and ML libraries (scikit-learn, TensorFlow, PyTorch), Knowledge of model deployment tools and frameworks (Docker, Flask/FastAPI, MLflow, etc), Ability to implement and deploy models in a production environment, Familiarity with recent advancements in AI/ML (transformers, large language models, generative AI, etc), Experience with cloud platforms (AWS, GCP, Azure) is a plus, Strong problem-solving, communication, and teamwork skills, Preferred Skills Experience with deep learning frameworks, Exposure to MLOps practices (CI/CD for ML, monitoring and retraining pipelines), Publications or side projects demonstrating innovative use of contemporary AI methods, What You Get to Work On Model user behavior patterns to solve high-impact, business-specific use cases, Work on complex savings account transactions data, mining actionable and meaningful insights, Extend and apply advanced deep learning, ML, and LLM-based models to production-scale problems, Build predictive and prescriptive models that directly influence product strategy and customer experience, Collaborate with product and engineering teams to integrate ML-driven intelligence into customer-facing features, Experiment with cutting-edge AI techniques (generative AI, transformers, reinforcement learning) for real-world financial applications,