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Data Analyst (Hadoop/Hive)
Ref No.: 18-07207
Location: Charlotte, North Carolina
A Major Financial Services Firm located in Charlotte, NC has an immediate contract opportunity for a Data Analyst (Hadoop/Hive).

JOB DESCRIPTION
Client seeks an experienced Contract professional that will collaborate with technology and multiple business Stakeholders for our Fraud data management initiatives. This resource will report to Director, Senior Lead Data Steward for Fraud Monitoring engagements.

Responsibilities:
• Partner with business colleagues and data owners to identify, understand and define critical data elements, write complex queries to extract and analyze enterprise data.
• Identify and ensure implementation of the best approaches for tracking and resolving data quality issues
• Perform Data quality analysis, document and maintain source to target mapping.
• Perform Data extracts, assessments from various platforms/sources such as Hadoop/Hive, Oracle, and Teradata etc.
• Define and maintain Data Quality Controls based on data profiling results
• Define and communicate business rules and terms governing use of the data including security and data lifecycle management
• Work with our Data Quality IT Partners for Dashboard monitoring

Required Qualifications:
• BA/BS
• Five years of experience dealing with large scale data analysis and management preferably financial services
• Strong technical, analytical and business skills.
• Experience writing complex queries in Oracle, Splunk, using hive/Hbase/hue to access data from Hadoop.
• Ability to learn and write reports in Splunk
• Experience using tools such as SQL developer, Toad etc.
• Experience identifying critical data elements, knowledge of Data quality and data governance techniques
• Self-starter, Quick learner and able to glean insights from the data and present it clearly.
• Demonstrated oral and written communication skills
• Ability to hit the road running without the need for extensive training


Preferred Qualifications:
• Strong Communication skills
• Kafka and Splunk understanding preferred
• Experience with data quality concepts, best practices and tools
• Familiarity with Financial services products such as Retirement, brokerage, Mutual funds and Retirement products a big plus.
• Experience with Fraud prevention and management; demonstrated knowledge of data structure, data systems/tools and related software and data management policies and practices in a complex organizational environment preferred
• Deep understanding of how data supports business strategy & how data is used within business processes and its impact
• Communication and conflict resolution skills.
• Effective time management & maintaining a focus on high standards and quality