Data Analyst IV
Burbank, CA (Hybrid - 3-days on-site)
9+ month Contract
Modernization of a 25 year old application, someone who likes transoframtion projects would really enjoy it. The new tech is very modern.
Daily Responsibilities:
- Will need to understand the current landscape - interviewing teams to get understanding
- More autonomous 70/30 - they need to recreate the documents on how things were currently and then implement new ways
Technology requirements:
- SQL server
- How integrations work (how data is integrated through ETL and API)
Degree or certifications required:
- Bachelors required in CS or Engineering
- Data certifications are nice to have
Years experience:
- 10 years minimum - to understand the analysis
Required background/ Skillsets:
- Any industry is fine as long as the data experience is there
- Focused on integrations, need data mapping experience -
- Data architect experience
The Job:
The main function of a data analyst is to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.
The Daily - Major Activities:
- Work with senior management, technical and client teams in order to determine data requirements, business data implementation approaches, best practices for advanced data manipulation, storage and analysis strategies.
- Write and code logical and physical database descriptions and specify identifiers of database to management system or direct others in coding descriptions.
- Design, implement, automate and maintain large scale enterprise data ETL processes.
- Modify existing databases and database management systems and/or direct programmers and analysts to make changes.
- Test programs or databases, correct errors and make necessary modifications.
The Essentials:
- Bachelor''s degree in a technical field such as computer science, computer engineering or related field required.
- Experience with database technologies.
- Knowledge of the ETL process.
- Knowledge of at least one scripting language.
- Strong written and oral communication skills.
- Strong troubleshooting and problem solving skills.
- Demonstrated history of success.
- Desire to be working with data and helping businesses make better data driven decisions.
- 10+ years of experience