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Data Analyst-Tech Con - D & A - Data Arch & Eng-FSO-Senior Manager-Multiple Positions - 1698174

$200.24k

Ernst & Young Advisory Services Sdn Bhd

Data Analyst - Technology Consulting – Data & Analytics Location: Phoenix, AZ (Primary Location Only) Position: Senior Manager Date: 7 Apr 2026 | Requisition ID: 1698174 Responsibilities Understand business challenges and address remediations through data architecture and engineering solutions. Work with clients to transform the way they use and manage data by architecting modern data platforms, products, and marketplaces focused on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence. Define data and analytic strategies by performing assessments, recommending remediation strategies, and designing/implementing future‑state data and analytics solutions. Lead and direct cross‑functional teams, providing constructive on‑the‑job feedback and coaching to ensure project task and timeline accountability. Manage and coach diverse teams of professionals with different backgrounds. Generate, manage, and pursue new business opportunities. Manage risk in the delivery of quality client services. Drive growth across financial services by solving complex issues. Qualifications Bachelor’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a related field and 8 years of related work experience (of which 5 years must be progressive, post‑baccalaureate). OR Master’s degree in the same fields and 7 years of related work experience. 6 years of experience in the banking, capital markets, insurance, and/or wealth and asset management industry. 5 years of experience assisting clients with one or a combination of: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives, and/or Event‑driven Architecture. 5 years of experience with traditional data architecture practices such as Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing. 5 years of experience with Next‑Gen platforms such as AWS, GCP, Azure, Snowflake, Databricks, and/or distributed databases. 5 years of experience architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines. 5 years of combined experience in at least two of the following technologies: Traditional RDBMS (MS SQL Server, Oracle, MySQL, PostgreSQL) MPP (Redshift, Synapse, Teradata, Vertica, Netezza) NoSQL (MongoDB, DynamoDB, Cassandra, Neo4J, Titan, Elasticsearch) Streaming Platform and Applications (Spark streaming, Kafka, Confluent, Storm) DevOps (GitHub, Kubernetes, Jenkins, Terraform) Data Modeling (Data Vault, Star, Snowflake, Canonical) Ability to travel domestically and regionally up to 60%. Employer will accept any suitable combination of education, training or experience. Expectations Full‑time employment, Monday – Friday, 40‑45 hours per week, 8:30 am – 5:30 pm. Benefits The base salary for this job is $200,235.00 per year. The Total Rewards package includes medical and dental coverage, pension and 401(k) plans, and a wide range of paid time off options under a flexible vacation policy. The role is part of EY’s hybrid model, requiring in‑person collaboration 40–60% of the time. Equity and Accessibility EY provides equal employment opportunities to applicants and employees without regard to race, color, religion, age, sex, sexual orientation, gender identity/expression, pregnancy, genetic information, national origin, protected veteran status, disability status, or any other legally protected basis, including arrest and conviction records, in accordance with applicable law. EY is committed to providing reasonable accommodation to qualified individuals with disabilities, including veterans with disabilities. If you have a disability and need assistance applying online or during any part of the application process, please call 1‑800‑EY‑HELP3 or email View email address on click.appcast.io. #J-18808-Ljbffr Ernst & Young Advisory Services Sdn Bhd

Vacancy posted 2 days ago
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