IT Advisor, Performance Improvement - Enterprise Intelligence, Digital - Hoboken , New Jersey, United States, 07030
Provide data analytics services to help clients solve business problems, drive value, and gain strategy and insight from information. Apply a data-driven approach (KPIs) in tying technology solutions to specific business outcomes. Meet client goals by deliver the latest in data technologies and practices to design, build and maintain scalable and robust solutions that unify, enrich and analyze data from multiple sources. Analyze business needs and clarify problems, seeking opportunities for improving methods and outcomes. Communicate findings, recommendations, and opportunities to improve data systems and solutions. Apply a deep understanding of database technology, concepts, tools, features, functions and benefits of different approaches to design, architect, and develop solutions leveraging relational and NoSQL database technologies to ingest, process and analyze large, disparate data sets. Unify, enrich and analzye customer data to derive insights and opportunities. Seek information to learn about emerging methodologies and technologies. Collaborate, influence and build consensus.
Manage and motivate teams with diverse skills and backgrounds. Consistently deliver quality client services by monitoring progress. Demonstrate in-depth technical capabilities and professional knowledge. Maintain long-term client relationships and networks. Cultivate business development opportunities.
Full time employment, Monday - Friday, 40 hours per week, 8:30 am - 5:30 pm.
A bachelors degree in Mathematics, Information Systems, Statistics, Computer Science, Engineering, or related discipline and 5 years of progressive, post-baccalaureate related work experience; OR a masters degree in Mathematics, Information Systems, Statistics, Computer Science, Engineering, or related discipline and 4 years of related work experience.
Must have 4 years of professional services or consulting experience.
Must have 4 years of hands-on experience with various relational and NoSQL database technologies, including SQL Server, DB2, Oracle, Cassandra, MongoDB, Azure DB and Neo4J.
Must have 2 years of hands-on experience with architecture and implementation of data warehouse and ETL solutions.
Must have 3 years of experience with logical and physical data modelling.
Must have 2 years of experience in API development and 3-tier application development.
Must have 2 years of experience with big data platforms, Microsoft Azure technologies and server-less environment.
Must have 2 years of recent experience leading teams of data professionals.
Travel required up to 80%, of which 20% may be international, to meet client needs.
Employer will accept any suitable combination of education, training or experience.