Description:
Under the direction of a data architect, this position will conduct data profiling, data analysis, data cleansing, database design, database implementation, data conversion, and data governance for the client data.
Typical Experience: 84+ months
Role Types: Database Analyst, Database Programmer
Expected Skills: Able to work in a team environment as well as without assistance; can provide input and feedback to others; able to manage highly complex work efforts; may have advanced education; may have extensive industry experience.
Description (including, but not limited to):
1. Data analysis and database management
2. Designing of data dictionaries, physical and logical database models, and performance tuning
3. Creation of requirements for database, database schema, data maps, ERDs, application objects (i.e., tables, indexes, views, etc.)
4. Creation of data rules to identify areas for data cleansing
5. Conducting data profiling, data analysis, data cleansing, database design, database implementation, data conversion, and data governance for the client data
Skill - Required / Desired - Amount of Experience
Understand data structures and schemas, and implementing appropriate indexes - Required - 3 Years
Able to create logical and physical models of data to represent relationships and ensure data integrity - Required - 5 Years
Working knowledge of DB2 and SQL Server database management systems (DBMS) - Required - 3 Years
Understanding of the process of extracting data from various sources, transforming it, and loading it into a database - Required - 5 Years
Use of at least one data cleansing tool - Required - 2 Years
Able to create and execute test cases - Required - 5 Years
Able to identify and resolve issues within the data cleansing process - Highly desired - 3 Years
Able to clearly communicate technical information to both technical and non-technical audiences - Highly desired - 3 Years
Must meet deadlines and manage multiple streams of work - Required - 5 Years
Able to dissect complex problems and derive insights from large datasets - Highly desired - 3 Years
Notes:
Hybrid
VIVA is an equal opportunity employer. All qualified applicants have an equal opportunity for placement, and all employees have an equal opportunity to develop on the job. This means that VIVA will not discriminate against any employee or qualified applicant on the basis of race, color, religion, sex, sexual orientation, gender identity, national origin, disability or protected veteran status