Randstad Business Data Analyst in Saint Paul, Minnesota

Business Data Analyst

job details:

  • location:Saint Paul, MN

  • date posted:Friday, July 13, 2018

  • job type:Contract

  • industry:Finance and Insurance

  • reference:632762

job description

Business Data Analyst

job summary:

Description:

  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to data mining to ETL (extract, transform, load) of data.

  • Works with internal data quality and analytics teams on planned and ad hoc data needs related to Salesforce.com and other internal applications.

  • Exposure and use of Informatica Data Quality and/or Alteryx is a plus.

  • Requires a bachelor's degree in area of specialty.

  • 0-1 years of experience in the field or in a related area (minimum - internship data experience using applications and tools preferred).

  • Proficient with MS Excel, MS Access, and common database uses of data joins, aggregation, appends, importing and extracting.

  • Self starter. A wide degree of creativity and latitude is expected based on experience.

  • Reports to a manager or head of a unit/department.

location: Eagan, Minnesota

job type: Contract

work hours: 8 to 5

education: Bachelors

responsibilities:

Description:

  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to data mining to ETL (extract, transform, load) of data.

  • Works with internal data quality and analytics teams on planned and ad hoc data needs related to Salesforce.com and other internal applications.

  • Exposure and use of Informatica Data Quality and/or Alteryx is a plus.

  • Requires a bachelor's degree in area of specialty.

  • 0-1 years of experience in the field or in a related area (minimum - internship data experience using applications and tools preferred).

  • Proficient with MS Excel, MS Access, and common database uses of data joins, aggregation, appends, importing and extracting.

  • Self starter. A wide degree of creativity and latitude is expected based on experience.

  • Reports to a manager or head of a unit/department.

qualifications:

Description:

  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to data mining to ETL (extract, transform, load) of data.

  • Works with internal data quality and analytics teams on planned and ad hoc data needs related to Salesforce.com and other internal applications.

  • Exposure and use of Informatica Data Quality and/or Alteryx is a plus.

  • Requires a bachelor's degree in area of specialty.

  • 0-1 years of experience in the field or in a related area (minimum - internship data experience using applications and tools preferred).

  • Proficient with MS Excel, MS Access, and common database uses of data joins, aggregation, appends, importing and extracting.

  • Self starter. A wide degree of creativity and latitude is expected based on experience.

  • Reports to a manager or head of a unit/department.

skills: Description:

  • Interprets results using a variety of techniques, ranging from simple data aggregation via statistical analysis to data mining to ETL (extract, transform, load) of data.

  • Works with internal data quality and analytics teams on planned and ad hoc data needs related to Salesforce.com and other internal applications.

  • Exposure and use of Informatica Data Quality and/or Alteryx is a plus.

  • Requires a bachelor's degree in area of specialty.

  • 0-1 years of experience in the field or in a related area (minimum - internship data experience using applications and tools preferred).

  • Proficient with MS Excel, MS Access, and common database uses of data joins, aggregation, appends, importing and extracting.

  • Self starter. A wide degree of creativity and latitude is expected based on experience.

  • Reports to a manager or head of a unit/department.

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.