Randstad Data Analyst 4 in Tempe, Arizona

Data Analyst 4

job details:

  • location:Tempe, AZ

  • salary:$56.20 - $61.64 per hour

  • date posted:Tuesday, July 10, 2018

  • job type:Contract

  • industry:Finance and Insurance

  • reference:631849

job description

Data Analyst 4

job summary:

Summary:

Client is seeking a Data Analyst to coordinate changes to computer databases, test, and implement the database applying knowledge of database management systems.

Job Responsibilities:

  • Executes test, data extraction, and analysis utilizing the department's various computer software packages within established deadlines.

  • Prepares, and documents detailed specifications of the programs utilized to pull data. Includes: creation and use of documents to facilitate the request and data integrity of the data that is provided to the internal customer.

  • May analyze and make recommends on business, technology, and process improvement opportunities.

  • Partners with various business lines to perform data analysis procedures as applicable to the support of ongoing projects.

  • Generates ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries.

  • 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.

  • 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.

location: Tempe, Arizona

job type: Contract

salary: $56.20 - 61.64 per hour

work hours: 9 to 6

education: Bachelors

responsibilities:

Job Responsibilities:

  • Executes test, data extraction, and analysis utilizing the department's various computer software packages within established deadlines.

  • Prepares, and documents detailed specifications of the programs utilized to pull data. Includes: creation and use of documents to facilitate the request and data integrity of the data that is provided to the internal customer.

  • May analyze and make recommends on business, technology, and process improvement opportunities.

  • Partners with various business lines to perform data analysis procedures as applicable to the support of ongoing projects.

  • Generates ad hoc reports and regular datasets or report information for end-users using system tools and database or data warehouse queries.

  • 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.

  • 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.

qualifications:

Qualifications:

  • Bachelor's degree in a technical field such as computer science, computer engineering or related field required.

skills: Qualifications:

  • 8-10 years applicable experience required.

  • Experience with database technologies.

  • Knowledge of the ETL process.

  • Knowledge of at least one scripting language.

  • Experience in building relational data structures, including relationships between tables and grouping data.

  • Technical skills to manipulate and analyze data in a variety of formats (e.g. SAS, SQL, Access, JCL)

  • 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.

Equal Opportunity Employer: Race, Color, Religion, Sex, Sexual Orientation, Gender Identity, National Origin, Age, Genetic Information, Disability, Protected Veteran Status, or any other legally protected group status.