Only 24h Left: Senior Reporting And Analytics Engineer Ii

About Marriott Marriott Tech Accelerator is part of Marriott International a global leader in hospitality Marriott International Inc is a leading American multinational company that operates a vast array of lodging brands including hotels and residential properties It consists of over 30 well-known brands and nearly 8 900 properties situated in 141 countries and territories Role Title Reporting and Analytics Senior Engineer II Procurement Technology Position Summary Reporting and Analytics Senior Engineer II will be a highly engaged and motivated senior engineer who will be responsible for designing building and maintaining reporting and analytics systems and dashboards This role will design and develop integration solutions to multiple data sources leveraging expertise in data modelling SQL Python cloud data warehousing ETL processes and BI tools The ideal candidate should have a blend of technical and analytical skills to manage and interpret financial data We are transforming the procurement business by enabling best-in-class procurement technology at Marriott With leaders who have driven this transformation elsewhere we need engineers who are excited about evolving the organization and setting the gold standard We are early in this journey and thought leadership with the ability to bring others along is key Job Responsibilities Design build and maintain reports and dashboards to visualize procurement data within the procurement source-to-pay platform or external BI tools like Tableau or Power BI Develop tailored reports and interactive dashboards using the built-in reporting features in the procurement source-to-pay platform Design and optimize data models and data structures Define and design data flow data extraction data cleaning and extraction solutions Collaborate with business stakeholders to understand reporting needs and to define key performance indicators KPIs Serve as a subject matter expert on built-in analytics features in the procurement source-to-pay platform including out-of-box reports customizable dashboards and the ability to drill down into operational data Serve as the lead data and analytics engineer for procurement technology Collaborate with technical and business teams to analyze procurement processes identify areas for improvement and recommend changes to enhance efficiency and effectiveness within the procurement platform Analyze data to identify trends patterns and anomalies related to procurement activities such as spend by category supplier performance cost savings and contract compliance Support the procurement business to make data-driven decisions within their procurement operations driving efficiency cost savings and strategic sourcing Experience in a data or analytics engineering role with a focus on building and maintaining reporting and analytics systems and dashboards Maintain industry knowledge and enhance subject matter expertise identify trends and changes in technology and automation strategies Assist with interviewing talent provide peer reviews feedback frequently and foster a modern engineering culture Serve in the on call rotation Managing Priorities and Delivery Develop specific goals and plans to prioritize organize and accomplish work Provide technical leadership for successful platform and project implementations Assist with determining priorities schedules plans and necessary resources to complete projects on schedule Assist with reviewing vendor proposals and selecting appropriate vendor for services technologies Understand and meet the needs of key stakeholders Communicate concepts in a clear and persuasive manner that is easy to understand Demonstrate an understanding of business priorities Support achievement of performance goals budget goals team goals etc Perform other reasonable duties as required for this position Skill and Experience Experience in a data or analytics engineering role with a focus on building and maintaining reporting and analytics systems and dashboards Strong technical skills in data manipulation analysis and visualization along with experience in building and managing data pipelines and reporting systems Strong communication and leadership skills to collaborate with stakeholders and guide less experienced team members Key areas of expertise include SQL Python cloud data warehousing ETL processes and BI tools Blend of technical and analytical skills to manage and interpret financial data Key skills include strong SQL proficiency experience with data modeling and warehousing and knowledge of ETL ELT processes Familiarity with cloud platforms AWS Azure GCP and tools like dbt is also crucial Furthermore strong communication and problem-solving abilities are essential for collaborating with stakeholders and translating business needs into actionable insights Data Classification and Harmonization Utilizing AI-driven data classification to cleanse and harmonize datasets is a key task Communication and Collaboration The ability to communicate technical concepts to both technical and non-technical stakeholders is important Data Manipulation and Analysis Proficiency in SQL for querying and manipulating large datasets and Python for data analysis scripting and automation Cloud Data Warehousing Experience with cloud platforms like AWS Azure or Google Cloud and their respective data warehousing solutions ETL Processes Experience with extract transform load processes and tools to build data pipelines Familiarity with frameworks like Airflow is also beneficial BI Tools Experience with Business Intelligence tools like Tableau Looker Power BI or others for creating visualizations and dashboards Data Modeling Understanding of dimensional modeling fact tables and dimension tables and experience with tools like dbt data build tool Data Quality and Testing Experience implementing data quality checks and processes to ensure accuracy and reliability Big Data Experience with big data technologies like Spark Presto or Hadoop is a plus AI ML Expertise Experience with Large Language Models LLMs and related techniques like prompt engineering and fine-tuning Solid understanding of various machine learning paradigms and practical experience deploying them Knowledge of reasoning frameworks agent architectures and Retrieval-Augmented Generation RAG Education and Certifications Undergraduate degree in an engineering or computer science discipline and or equivalent experience certification Work location Hyderabad India Work mode Hybrid Marriotts core values At Marriott our core values make us who we are We believe that success is never final As we change and grow the beliefs that are most important to us stay the sameputting people first pursuing excellence embracing change acting with integrity and serving our world Being part of Marriott Tech Accelerator means being part of a proud history and a thriving culture