Role Description We are seeking a highly analytical and technically skilled Senior Digital Analytics Customer Experience (CX) Engineer to join our Global Digital Analytics Customer Experience (CX) team, supporting the Performance Coatings Group’s digital initiatives. This role is responsible for designing, implementing, and optimizing digital data collection strategies across websites, applications, and digital marketing channels. The ideal candidate brings deep experience in digital analytics, strong data engineering and data governance expertise. This candidate is expected to use these skill sets to help elevate customer experiences, build a foundation for personalization and digital marketing activation, and drive business growth. As a senior member of the team, this person will play a critical leadership role in ensuring data quality, standardization, and connectivity across digital platforms, while advancing our measurement framework, analytics automation, and predictive insights capabilities. Qualifications - Deep experience in digital analytics - Strong data engineering and data governance expertise Requirements - Contact with other employees and access to confidential and proprietary information - Review of criminal history may be necessary to protect the business and its operations Benefits - Life … with rewards, benefits and the flexibility to enhance your health and well-being - Career … with opportunities to learn, develop new skills and grow your contribution - Connection … with an inclusive team and commitment to our own and broader communities Company Description At Sherwin-Williams, our purpose is to inspire and improve the world by coloring and protecting what matters. Our paints, coatings and innovative solutions make the places and spaces in our world brighter and stronger. Your skills, talent and passion make it possible to live this purpose, and for customers and our business to achieve great results. Sherwin-Williams is a place that takes its stability, growth and momentum and translates it to possibility for our people. Our people are behind the strength of our success, and we invest and support you in: - Life … with rewards, benefits and the flexibility to enhance your health and well-being - Career … with opportunities to learn, develop new skills and grow your contribution - Connection … with an inclusive team and commitment to our own and broader communities At Sherwin-Williams, part of our mission is to help our employees and their families live healthier, save smarter and feel better. This starts with a wide range of world-class benefits designed for you. A general description of benefits offered can be found at http://www.myswbenefits.com/ . Click on “Candidates” to view benefit offerings that you may be eligible for if you are hired as a Sherwin-Williams employee.

Role Description This role is for one of the Weekday's clients. - Configure and manage SNP Glue for SAP ECC data extraction - Handle extractor selection delta logic and dependency management - Ensure reliable SAP to Snowflake data flows - Perform SAP data structure analysis and mapping Key Responsibilities - Design, develop, and maintain SAP data extraction pipelines using SNP Glue - Support SAP ECC BW Snowflake data ingestion and migration - Implement CDC-based ingestion and enterprise data integration patterns - Work with Azure Data Factory (ADF) for orchestration and scheduling - Integrate SAP data into analytics platforms for reporting and downstream consumption - Collaborate with Data Architects and ETL engineers on ingestion design - Ensure data quality, performance, and reliability of SAP data pipelines Qualifications - Min Experience: 6+ years - Location: Pan India - Job Type: Full-time Requirements - Mandatory Skills: SAP BODS, SAP Business Objects, SNP Glue - Good-to-have skills: SNP, AWS Glue, Glue Benefits - Salary range: Rs 1500000 - Rs 2800000 (i.e., INR 15 - 28 LPA)

• Develop and implement Advanced Analytics, Machine Learning and Artificial Intelligence solutions aimed at solving business problems. • Translate the needs of partner areas into analytical models, data products and scalable solutions. • Design analytical architectures and data pipelines (ETL/ELT), ensuring quality, performance and governance. • Build, train, deploy and monitor predictive and prescriptive models, ensuring their continuous improvement. • Develop data- and AI-based products such as recommendation engines, segmentation, forecasting and intelligent automations. • Apply MLOps and DataOps practices to ensure versioning, deployment, monitoring and maintenance of models in production. • Serve as a technical reference within squads, supporting architectural decisions and promoting Analytics and AI best practices. • Contribute to the evolution of a data-driven culture by encouraging strategic use of data across the organization.

Role Description We are seeking a highly motivated Analytics Engineer to join our growing Data & Insights organization. In this role, you will partner closely with the Associate Director of Data Insights to build a curated semantic and reporting layer that serves as the trusted foundation for all business intelligence, reporting, and analytics solutions across internal teams and client-facing products. This role blends deep technical rigor with execution speed, ideal for someone who takes pride in building well-modeled, secure, and performant data foundations while also delivering analytics products that create immediate business value. You will work hands-on with modern embedded and enterprise BI tools, including Bold BI and Reveal BI, alongside cloud data platforms to deliver scalable, governed, and reusable analytics experiences. Qualifications - Semantic & Reporting Layer Development: Design and maintain a curated semantic layer that standardizes business metrics, definitions, and hierarchies ensuring consistent, governed, and reusable data access across all BI and analytics consumers. - Data Modeling: Build and optimize robust dimensional and analytical data models (star/snowflake schemas, aggregated layers) that support performant, scalable reporting across diverse use cases. - Performance Tuning: Identify and resolve query performance bottlenecks through indexing strategies, materialized views, query optimization, caching configurations, and push-down SQL techniques. - Security Implementation: Implement and enforce row-level security (RLS), role-based access control (RBAC), and data masking policies within the semantic layer and BI platforms to ensure data is accessed only by authorized users. - Collaboration: Partner with Product, Data Engineering, and Client Success teams to translate business requirements into production-ready data models and analytics deliverables. - Data Quality & Validation: Perform exploratory data analysis and validation to ensure accuracy, consistency, and trust in all published metrics and insights. - Documentation: Document semantic layer definitions, data models, security policies, and implementation patterns to support adoption, auditability, and long-term maintainability. - Dashboard & Report Development: Design and deliver dashboards, KPI scorecards, and embedded analytics using Bold BI, Reveal BI, and other enterprise BI tools, with a strong emphasis on speed to value and stakeholder adoption. Requirements - A well-structured, governed semantic layer serves as the single source of truth for all reporting and analytics consumers. - Data models are clean, performant, and extensible — reducing ad hoc rework and enabling faster future delivery. - Security policies are consistently enforced at the data layer, ensuring compliance and appropriate data access across user roles. - Dashboards and reports built in Bold BI and Reveal BI are scalable, reusable, and trusted by stakeholders. - Time-to-delivery decreases through standardization, reusable models, and template-driven builds. Benefits - Join a powerful tech workforce and help us change the world through technology. - Professional development opportunities with international customers. - Collaborative work environment. - Career path and mentorship programs that will lead to new levels. - Contribute to shaping the data landscape within a dynamic and growing organization. - Your skills will be honed, and your contributions will play a vital role in our continued success. - Lean Tech is an equal opportunity employer. We celebrate diversity and are committed to creating an inclusive environment for all employees.