Data Scientist: Power BI & SAS for Returns & Claims

Caterpillar Inc.

Morton (IL)

On-site

USD 98,000 - 158,000

Full time

26 hours ago
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Benefits offered by this job

Medical, dental, and vision benefits
401(k) savings plans
Tuition reimbursement
Employee discounts
Career development

Job summary

Caterpillar Inc. in Morton, IL is seeking a Data Scientist to develop data-driven solutions that support the Claims and Returns organization.

You will use SAS and Microsoft Power Platform to create and enhance applications, data tables, reports, and on-demand analyses. This role will also troubleshoot and improve existing reporting solutions, respond to ad hoc data and application requests, lead moderately complex projects, and communicate findings to senior management.

Qualifications

  • Knowledge of programming concepts and ability to write/modify code.
  • Ability to search, extract and format data from data sources.
  • Knowledge of requirement analysis methods to capture business functionality.

Responsibilities

  • Provide technical support for reporting and data solutions used by SPM and Legacy Claims and Returns teams.
  • Develop, maintain, troubleshoot, and enhance reports, data tables, applications, and analytical solutions.
  • Fulfill ad hoc reporting requests and publish solutions through Power BI or SAS.
  • Use programming skills to develop data solutions addressing business needs.
  • Maintain SAS programs, reports and data processes for evolving requirements.
  • Analyze data to identify opportunities for improved data sets and reports.
  • Investigate and resolve reporting issues and enhance existing reports.

Skills

Programming basics
SQL / database access
Requirements analysis

Tools

Snowflake
CRM systems
Caterpillar data environments

Job description

Caterpillar Inc. in Morton, IL is seeking a Data Scientist to develop data-driven solutions that support the Claims and Returns organization.

You will use SAS and Microsoft Power Platform to create and enhance applications, data tables, reports, and on-demand analyses. This role will also troubleshoot and improve existing reporting solutions, respond to ad hoc data and application requests, lead moderately complex projects, and communicate findings to senior management.

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