3 Analytics Techniques Jobs

The Senior Business Analyst in the Data & Analytics department in Mumbai plays a crucial role in identifying business needs, building analytical tools, developing test strategies, and supporting different teams in delivering business outcomes. The primary job purpose is to identify and scope business requirements by gathering and analyzing information effectively to facilitate the delivery of solutions, initiatives, and programs. Designing analytics techniques to meet present and future business needs is a key responsibility, along with a robust understanding of data and necessary fields for analysis. The role involves mapping analytical frameworks with available data and developing test strategies and procedures to ensure solutions meet design specifications. Additionally, selecting and applying algorithms and advanced computational methods to enable system improvements and desired outcomes are integral to the position. The Senior Business Analyst is expected to approach situations innovatively, challenge the status quo for continuous improvement, and drive positive changes within the organization. The individual should demonstrate a strong drive to achieve goals, recognize interrelationships in business activities, and contribute to the broader vision of the department. As part of the managerial and leadership responsibilities, the Senior Business Analyst leads a team of Business Analysts in model development, containerization, and building deployment pipelines for new models. The role involves leading and implementing projects from inception to completion, focusing on automated deployment and optimizing performance. Success in this role is measured by the successful development and deployment of analytical tools and effective utilization in various business use cases.,

You will be joining EXL, a leading operations management and analytics company dedicated to helping businesses thrive in competitive and disruptive environments. Through our innovative methodologies encompassing advanced analytics, data management, digital solutions, BPO, consulting, industry best practices, and cutting-edge technology platforms, we delve deep to support companies in enhancing global operations, fostering data-driven insights, improving customer satisfaction, and effectively managing risk and compliance. EXL caters to various industries such as insurance, healthcare, banking and financial services, utilities, travel, transportation, and logistics, with a team of over 30,000 professionals located across the United States, Europe, Asia (mainly India and the Philippines), Latin America, Australia, and South Africa. In the realm of EXL Analytics, we provide actionable solutions to business challenges through statistical data mining, advanced analytics techniques, and a consultative approach. By utilizing our proprietary methodology and top-tier technology, EXL Analytics adopts an industry-specific strategy to revolutionize clients" decision-making processes and embed analytics deeply into their business operations. Our team of nearly 2,000 data scientists and analysts worldwide support client organizations in diverse areas such as risk minimization, advanced marketing strategies, pricing and CRM techniques, internal cost analysis, and optimizing resources within the organization. EXL Analytics caters to industries like insurance, healthcare, banking, capital markets, utilities, retail and e-commerce, travel, transportation, and logistics. Your role will involve being a proficient credit risk model professional with expertise in model monitoring, validation, implementation, and maintenance of regulatory models. Some of your key responsibilities will include assisting in various aspects of model risk management in alignment with regulations, conducting essential tests such as model performance evaluations, sensitivity analyses, and back-testing, collaborating with the model governance team on model development and monitoring, liaising with cross-functional teams including business stakeholders, model validation, and governance teams, delivering high-quality client services encompassing model documentation within stipulated timeframes. To excel in this role, you should have a minimum of 2+ years of experience in executing end-to-end monitoring, validation, production, and implementation of credit risk models, particularly CCAR/CECL/IFRS9 regulatory models. You should possess a strong comprehension of credit risk regulatory models, along with expertise in marketing and general analytics problems. Your ability to manage assigned projects efficiently, ensuring accuracy and timely deliverables, as well as training, coaching, and developing team members, will be crucial for success. For qualifications, you should have prior analytics experience (2+ years), preferably in the BFSI sector, with a good understanding of General Analytics and Fraud Analytics. Past experience in roles involving problem-solving and strategic initiatives is advantageous. Proficiency in SAS/SAS macros, Python, or SQL is essential, while hands-on experience in R or any other analytical software would be a plus. Strong problem-solving skills will further enhance your suitability for this role.,

Job Description Are You Ready to Make It Happen at Mondel?z International Join our Mission to Lead the Future of Snacking. Make It With Pride. Together with analytics team leaders youwill support our businesswith excellent data models to uncover trends that can drive long-term business results. How you will contribute You will: Work in close partnership with the business leadership team to execute the analytics agenda Identify and incubate best-in-class external partners to drive delivery on strategic projects Develop custom models/algorithms to uncover signals/patterns and trends to drivelong-term business performance Execute the business analytics program agenda using a methodical approach that conveysto stakeholders what business analytics will deliver What you will bring A desire to drive your future and accelerate your career and the following experience and knowledge: Using data analysis to make recommendations to senior leaders Technical experience in roles in best-in-class analytics practices Experience deploying new analytical approaches in a complex and highly matrixedorganization Savvy in usage of the analytics techniques to create business impacts More about this role What you need to know about this position: What extra ingredients you will bring: Demonstrated experience in applying analytical to solve business problems Proven experience in R eporting and M anaging P rojects with C ross- F unctional and G lobal stakeholders Experience in Visualization Tools (Tableau/Power BI/Spotfire) Experience in Data Management and Processing Tools ( Talend/ Alteryx/ R/ Prep/ SQL) Good to have e xperience in UI/UX tools like Power Apps, Python Dash, R Shiny, React JS Experience in Statistical analytical tools and projects may be advantageous Experience in FMCG/Food Products/Supply Chain Industry Total relevant experience of 8 - 1 2 years Education / Certifications: Job specific requirements: You will be part of Mondel?z biggest Analytics Team, delivering world class analytical solutions showcasing global level business impact using sophisticated tools and technologies. You will be driving Visualization and Data Processing capabilities to next level by delivering business solutions impacting business on day-to-day productivity. Build trust and credibility with different stakeholders to achieve common organizational goals and targets . Manufacturing Analytics: Work in close partnership with the business leadership team Global Manufacturing and Regional Manufacturing to execute the analytics agenda , Deep Dive into Manufacturing KPIs E2E Solution Development & Consul tation: Develop E2E solutions driving enhanced transparency, improvement in KPIs and productivity targets for plants . Provide consultation to Plant and Regional Leads on solution architecture, modelling approach, development, deployment and sustain along in collaboration with global MDS. Capability Development: Develop New and Scale up Core Capabilities under Advance Analytics and Reporting Domain Support on-going initiatives under R eporting domain: Support Factory 2025, Plant Digitalization Roadmap, Global Manufacturing Scorecards, Global Waterfall, S olvace Project and various Business Innovation initiatives Next Gen Reporting UI/UX: Build new capability vertical of User Experience & User Interactivity in Analytics Team by leveraging Python /R/JS Product Mindset: Develop business solutions which are automated, self-sustainable and interactive with end users Vendor Management: I de ntify an d incubate best-in-class external partners to drive delivery on strategic projects Sustain Strategy: Develop Sustain Strategy and Maintain Manufacturing KPI dashboards, automate and support business continuity Travel requirements: Work schedule: Within Country Relocation support available and for candidates voluntarily moving internationally some minimal support is offered through our Volunteer International Transfer Policy Business Unit Summary At Mondel?z International, our purpose is to empower people to snack right by offering the right snack, for the right moment, made the right way. That means delivering a broad range of delicious, high-quality snacks that nourish life's moments, made with sustainable ingredients and packaging that consumers can feel good about. We have a rich portfolio of strong brands globally and locally including many household names such as , and biscuits , and chocolate candy and gum. We are proud to hold the top position globally in biscuits, chocolate and candy and the second top position in gum. Our 80,000 makers and bakers are located in more than80countries and we sell our products in over150countries around the world. Our people are energized for growth and critical to us living our purpose and values. We are a diverse community that can make things happen-and happen fast. Mondel?z International is an equal opportunity employer and all qualified applicants will receive consideration for employment without regard to race, color, religion, gender, sexual orientation or preference, gender identity, national origin, disability status, protected veteran status, or any other characteristic protected by law. Job Type Regular Analytics & Modelling Analytics & Data Science