EY delivers unparalleled service in digital analytics, built on a blend of custom-developed methods related to customer analytics, data visualization, and optimization. We leverage best practices and a high degree of business acumen that has been compiled over years of experience to ensure the highest level of execution and satisfaction for our clients. At EY, our methods are not tied to any specific platforms but rather arrived at by analyzing business needs and making sure that the solutions delivered meet all client goals. **Data Analytics Senior Manager** Our supply chain is a sophisticated process that includes an ever-evolving list of distribution centers, retail stores, and wholesalers around the world. We utilizes analytics to continuously optimize their process with the goal of making their supply chain faster, more efficient, and responsive to market dynamics and consumer needs. Through a partnership between analytics and supply chain, we are able to deliver 1.3 billion products to their consumers each year. **The opportunity** We are looking for a Data Analytics Manager to support our projects as a part of their Data Products & Reporting organization within Commercial Analytics. **Your Key Responsibilities** You will be part of a multi-functional agile squad responsible for driving scalable data architecture, delivering thoughtful data products that answer business questions, and maximizing analytics return on investment. Day to day responsibilities include: - Working closely with business stakeholders to translate complex business problems into analysis requirements and define data product details - Document systems and analytics solutions and be able to translate technical jargon into business-friendly terminology - Conduct structured end to end analysis to inform product strategy, data architecture, and reporting decisions - Prototype and drive the vision for future state data architecture - Develop sql queries and be comfortable creating data visualizations to fulfill ad hoc analytical requests - Monitor data pipelines and solve operational and data issues - Validate data pipelines to ensure data integrity and consistent reporting of analytics metrics and dimensions **Skills and attributes for success** - Naturally curious about data and ask lots of questions - Be able to dig into the data to determine a solution for ambiguous business questions - Have a strong understanding of data architecture principals - Demonstrating in-depth technical capabilities and professional knowledge - Establishing strong relationships with the clients - Interfacing with stakeholders and SMEs to elicit, clarify, and complete project requirements **To qualify for the role you must have** - A bachelor's or master’s degree - Around 3 or more years of related work experience in Data & Analytics, Operations, or Supply Chain - Strong experience in data architecture and integration technologies (ETL, data ingestion and distribution patterns, large data processing on distributed platforms, data warehousing) - Expert level proficiency in SQL - Hands on experience analyzing large structured and unstructured datasets - Hands on experience documenting business requirements, processes, and analytics solutions - Experience translating business objectives and requirements into data architecture - Ability to develop structured analysis supporting data architecture or product strategy decisions - Strong understanding of database management systems (Oracle, MySQL, Teradata, etc.) - Experience with Big Data and NoSQL technologies (Hadoop, Spark, Impala, Cassandra, Pig, Hive) - Proficiency with cloud environments (Microsoft Azure, Google Cloud, AWS) - Working knowledge of agile methodologies and principles such as Scrum, Kanban, and LEAN - Experience with presenting and communicating analysis results to technical and non-technical stakeholders in both written and verbal form - Strong analytical and problem-solving skills - Ability to assimilate new knowledge - Ability to understand business challenges and translate them into value-add analytics solutions - Excellent leadership and teaming skills - Fluent in English **Ideally, you’ll also have** - Experience with statistical packages (R, Python, MATLAB, SAS, Stata) - Experience with source controls (Github, Bitbucket) and workflow scheduling tools (Airflow) - Experience working with data visualization tools (Tableau, Power BI) - Expertise in data warehousing, dimensional modeling, data management, ETL processing, API integrations, and data governance - Prior consulting experience **What we look for** We’re interested in passionate leaders with strong vision and a desire to stay on top of trends in the Digital Analytics Data industry. If you have a genuine passion for helping businesses achieve the full potential of their data, this role is for you. **About EY** As a global leader in assurance, tax, transaction and advisory services, we hire and develop the most pa