Remote Senior Data & Analytics Solutions Architect

Centene Corporation; California; Hybrid; USD 90,000 - 125,000; Full time

Benefits offered by this job

Health insurance

401K

Stock purchase plan

Tuition reimbursement

Paid time off

Job summary

Centene Corporation is seeking an experienced data analyst/BI professional to design, build, validate, and support complex data solutions and automations. You will develop ad-hoc reports, validate source data, and ensure data integrity across processes while collaborating with business, technology, risk and control teams.

You will translate requirements into technical designs, manage data pipelines, and contribute to production support and documentation.

Qualifications

• 4+ years of experience in programming including SAS, SQL, VB.NET or Oracle (or similar).
• Advanced SQL and relational database development (MS SQL Server and/or Teradata).
• 3+ years of experience in business analysis, translating requirements to technical designs.
• Power BI Desktop and related tools experience preferred.

Responsibilities

• Design, build, validate, implement, and support data solutions and automations.
• Develop ad-hoc reports for data analysis and validation.
• Automate data processing and improve business systems through APIs and data pipelines.
• Provide SME guidance on requirements, design, testing, and documentation.
• Monitor projects, manage risks, and support production environments.

Skills

SAS

SQL

VB.NET

Oracle

.NET/C#

Education

Bachelor's degree in relevant field

Master’s degree preferred

Tools

MS SQL Server

Teradata

Power BI

Power BI Report Builder

.NET/C#

Job description

Centene Corporation is seeking an experienced data analyst/BI professional to design, build, validate, and support complex data solutions and automations. You will develop ad-hoc reports, validate source data, and ensure data integrity across processes while collaborating with business, technology, risk and control teams.

You will translate requirements into technical designs, manage data pipelines, and contribute to production support and documentation.