Remote BI Specialist: Dashboards & Analytics

Navitus; Sacramento (CA); Remote; USD 65,000 - 90,000; Full time

Benefits offered by this job

Health insurance

Dental insurance

Vision insurance

20 days PTO

4 weeks parental leave

9 holidays

401K company match

Adoption Assistance Program

Flexible Spending Account

Educational Assistance Plan and Prof.

Referral Bonus Program – up to $750

Job summary

Navitus Health Solutions is seeking a Business Intelligence Specialist in a front-line, entry-level capacity to support the creation and maintenance of BI dashboards, reports, and data visualizations for organizational decision-making.

You will collaborate with team members to gather requirements, validate data, and translate needs into actionable analytics using SQL, Python, R, and BI tools. The role emphasizes data-informed decisions and ongoing dashboard enhancements.

Qualifications

• Bachelor’s degree in business, computer science, information systems, mathematics, statistics, or a related field.
• Proficiency with data analysis tools such as SQL, Python, or R.
• Experience with or exposure to BI and data visualization tools like Tableau, Qlik, SAS, Power BI, or similar.

Responsibilities

• Design, develop, and maintain interactive reports and dashboards using Qlik tools, ensuring visuals meet brand standards.
• Provide data analysis and visualization to support urgent business questions using Qlik, SQL, and other tools.
• Translate business requirements into reports, dashboards, and data visualizations.

Skills

SQL

Python

R

Education

Bachelor’s degree in business, CS, information systems, mathematics, statistics, or related field

Tools

Tableau

Qlik

Power BI

SAS

Job description

Navitus Health Solutions is seeking a Business Intelligence Specialist in a front-line, entry-level capacity to support the creation and maintenance of BI dashboards, reports, and data visualizations for organizational decision-making.

You will collaborate with team members to gather requirements, validate data, and translate needs into actionable analytics using SQL, Python, R, and BI tools. The role emphasizes data-informed decisions and ongoing dashboard enhancements.