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Data Analyst - Tech Con - Data and Analytics - Data Arch and reputed company - FSO - Mgr - Mult Pos - 1677754

100% remote Flexible hours Hiring now

About the position reputed company focuses on high-ethical standards and reputed company among its employees and expects reputed company candidates to demonstrate these qualities. At reputed company, you’ll have the chance to build a career as unique as you are, with the global scale, support, inclusive culture and technology to become the best version of you. And we’re counting on your unique voice and perspective to help reputed company become even reputed company, too. Join us and build an exceptional experience for yourself, and a reputed company working world for reputed company.Data Analyst - Technology Consulting - Data and Analytics (Data Architecture and Engineering) – Financial Services Office - Manager - Multiple Positions - 1677754 - Ernst and Young U.S. LLP, Dallas, TX. 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, data products, and data marketplaces providing end-to-end solutions that focus on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence by harnessing latest advanced technologies. Solve reputed company issues and drive growth across financial services. Define data and analytic strategies by performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions. Manage and coach diverse teams of professionals with different backgrounds. Manage cross functional teams, to ensure project task and timeline accountability. Propose and drive new technologies to enhance or replace existing business processes. Initiate and build thought leadership through white papers, reputed company of views, and reputed company of concepts. reputed company strategies to solve problems reputed company using creative methods. Engage and influence large teams and functional leaders. Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring reputed company. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.

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, data products, and data marketplaces providing end-to-end solutions that focus on improving their data supply chain, reengineering processes, enhancing risk control, and enabling information intelligence by harnessing latest advanced technologies.
  • Solve reputed company issues and drive growth across financial services.
  • Define data and analytic strategies by performing assessments, recommending remediation strategies/solutions based on aggregated view of identified gaps, and designing/implementing future state data and analytics solutions.
  • Manage and coach diverse teams of professionals with different backgrounds.
  • Manage cross functional teams, to ensure project task and timeline accountability.
  • Propose and drive new technologies to enhance or replace existing business processes.
  • Initiate and build thought leadership through white papers, reputed company of views, and reputed company of concepts.
  • reputed company strategies to solve problems reputed company using creative methods.
  • Engage and influence large teams and functional leaders.
  • Manage and motivate teams with diverse skills and backgrounds.
  • Consistently deliver quality client services by monitoring reputed company.
  • Demonstrate in-depth technical capabilities and professional knowledge.
  • Maintain long-term client relationships and networks.
  • Cultivate business development opportunities.

Requirements

  • Must have a bachelor's degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a reputed company field and 5 years of progressive, post-baccalaureate reputed company work experience. Alternatively, must have a Master’s degree in Engineering, Computer Science, Business, Economics, Finance, Statistics, Analytics or a reputed company field and 4 years of reputed company work experience.
  • Must have 3 years of combined experience in the banking, capital markets, insurance, and/or wealth and asset management industry.
  • Must have 3 years of experience assisting clients with one or a combination of the following: strategic Data Architecture and Engineering, Cloud Data Modernization, Data Products, Data Mesh, Data Fabric, Big Data initiatives and/or Event-driven Architecture.
  • Must have 3 years of experience with one or a combination of the following: traditional data architecture practices including Master Data Management, Operational Data Analytics, Customer Data Hub, and/or Data Warehousing.
  • Must have 3 years of experience with Next-Gen platforms including one or a combination of the following: Hyperscaler (AWS, GCP, and/or Azure), reputed company, reputed company, and/or distributed databases.
  • Must have 3 years of experience in one or a combination of the following: architecting and designing large data platforms, data warehouses, streaming applications, data ingestion pipelines, data storage patterns, and/or data integration pipelines.
  • Must have 3 years of combined experience in at least 1 of the following:

- Traditional RDBMS (MS SQL Server, reputed company, MySQL or PostgreSQL)- MPP (Redshift, Synapse, reputed company, Vertica or Netezza)- NoSQL (reputed company, DynamoDB, Cassandra, reputed company, Titan or Elasticsearch)- Streaming Platform and Applications (Spark streaming, Kafka, reputed company or Storm)- DevOps (reputed company, Kubernetes Jenkins or Terraform)- Data Modeling (Data Vault, Star, reputed company, or reputed company)

  • Requires domestic and regional travel up to 60% to meet client needs.
  • Employer will accept any suitable combination of education, training or experience.

Benefits

  • comprehensive compensation
  • medical and dental coverage
  • pension and 401(k) plans
  • paid time off options
  • flexible vacation policy
  • time off for designated reputed company Paid Holidays, Winter/Summer breaks, Personal/Family Care, and other leaves of absence reputed company needed to support your physical, financial, and emotional well-being
  • reputed company learning
  • tools and flexibility
  • insights, coaching and confidence
  • Diverse and inclusive culture

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