Please send your consultant updated resume to sateesh.b@shstinc.com
Job Title: Technical Data Analyst
Location: NYC, NY
Duration : 6+ months
Responsibilities:
Gathers data for analysis purposes using complex data mining instructions/ scenarios.
Designs and develops SQL queries for extracting information, trends, insights and metrics from data stored in the database.
Well versed in using relational database management systems, specifically SQL Server.
Utilizes Trillium data profiling tool for analysis purposes and configures tool for specific data needs.
Defines and writes functional specification in support of the data quality requirements.
Perform Data Analysis/Data Profiling on key Master Data entities in order to report and plan data remediation and data cleanup activities
Create metrics and reports (ad-hoc and repetitive) to support data management, data quality and Data Governance programs
Required Skills:
2-5 yrs + of experience using Trillium Software for analyzing large datasets.
2-5 yrs + of demonstrated experience related to Data Analysis (gathering data Rules and Requirements, performing data analysis on a data warehouse and/or source systems, and implementation experience in a large-scale, multi-user environment, work with functional specs, use cases, test cases, test plans) working with users to tweak patterns and multi table complex rules
Self-motivated, team player
Excellent verbal and written communication skills.
Detailed knowledge of Data Modeling, both relational and dimensional
Familiarity with ETL protocols
Strong analytical and data management skills
Extensive experience with SQL
Adept in MS Excel and report building tools
Exposure to Data Profiling and Data Warehousing Best Practices
Experience with developing entity and attribute business rules within the Trillium toolset.
Experience in data mining techniques, procedures and best practices.
Works with Data Owners and Data Analyst to understand the data for purposes of technical data analysis and to understand the query related requirements.
Has worked on large data set sets
A MS/BS degree in a technical field or related discipline preferred
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