Senior Data Analyst
The Amatriot Group · Dallas, TX · 5 days ago
HybridInformation Technology$125k–$165k/yrFull-time
Position Overview
The Senior Data Analyst supports and analyzes data anomalies for multiple environments including Data Warehouse, ODS, Data Replication/ETL Data Management initiatives. They work closely with Business, DBA, ETL and Data Management teams providing analysis and support for complex Data related initiatives.
Key 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 and Master Data Management tools
- 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
- Able to work in a team-oriented, fast-paced agile environment managing multiple priorities
Qualifications
- 4+ years of SQL experience working in OLTP, Data Warehouse and Big Data databases
- 4+ years of experience working with Exadata and SQL Server databases
- 4+ years in a Data Analyst role
- Strong attention to Detail
- 2+ years writing medium to complex stored procedures (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 (plus)
- Master Data Management (plus)
- Big Data Experience (Hadoop, MongoDB) (plus)
- Postgres and Cloud Experience (plus)