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Senior Data Analyst
Our utility client is asking us to provide a contractor for an anticipated 6-month assignment. Hybrid position with on-site work in Dallas.
Primary responsibilities of the Senior Data Analyst include supporting and analyzing data anomalies for multiple environments including but not limited to Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. The candidate will be in a supporting role and will work closely with Business, DBA, ETL and Data Management teams providing analysis and support for complex Data related initiatives. This individual will also be responsible for assisting in initial setup and on-going documentation/configuration related to Data Governance and Master Data Management solutions. This candidate must have a passion for data, along with good SQL, analytical and communication skills.
Responsibilities
Investigate and Analyze data anomalies and data issues reported by Business
Work with ETL, Replication and DBA teams to determine data transformations, data movement and derivations and document accordingly
Work with support teams to ensure consistent and pro-active support methodologies are adhered to for all aspects of data movements and data transformations
Assist in break fix and production validation as it relates to data derivations, replication and structures
Assist in configuration and on-going setup of Data Virtualization tool
Assist in keeping documentation up to date as it relates to Data Standardization definitions, Data Dictionary and Data Lineage
Gather information from various Sources and interpret Patterns and Trends
Qualifications
4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases
4+ years in a Data Analyst role
Strong attention to Detail
2+ years writing medium to complex stored procedures a plus
Ability to collaborate effectively and work as part of a team
Extensive background in writing complex queries
Extensive working knowledge of all aspects of Data Movement and Processing, including ETL, API, OLAP and best practices for data tracking
Good Communication skills
Self-Motivated
Works well in a team environment
Denodo Experience a plus
Big Data Experience a plus (Hadoop, MongoDB, Exadata)
Job Types: Full-time, Contract, Temporary
Pay: Up to $95.00 per hour
Schedule:
8 hour shift
Monday to Friday
Experience:
SQL with OLTP, Data Warehouse, Big Data: 4 years (Required)
Data Analyst: 4 years (Required)
ETL: 2 years (Required)
API: 2 years (Required)
OLAP: 2 years (Required)
Denodo: 2 years (Preferred)
Hadoop: 2 years (Preferred)
Ability to Commute:
Dallas, TX 75202 (Preferred)
Ability to Relocate:
Dallas, TX 75202: Relocate before starting work (Required)
Work Location: Hybrid remote in Dallas, TX 75202