Looker BI Analyst - Data Visualization & Dashboards

OP RaaS; Memphis (TN); On-site; USD 65,000 - 90,000; Full time

Job summary

OP RaaS is seeking an experienced BI analyst to transform data into actionable insights. You will build and optimize dashboards using Looker/Tableau/Power BI, organize reports for stakeholders, and ensure consistency and performance across BI assets.

The role emphasizes storytelling with data, collaboration with data engineers, and a commitment to clean, reliable data that supports strategic decisions. This is a hands-on, results-driven position.

Qualifications

• Bachelor's degree in information systems, computer science, or a quantitative discipline.
• 4+ years of measurement/analysis, quantitative business problem solving, operations analysis, marketing analysis, business intelligence, dashboarding.
• Superior analytical skills with diverse analytics and statistical software and applications.
• Excellent interpersonal skills, written and oral communication skills.
• Proven data visualization skills.

Responsibilities

• Create actionable insights through data visualization using our BI tools (Looker/Tableau/Power BI).
• Organize reports and dashboards so they are accessible to stakeholders.
• Optimize performance on our existing and future dashboards.
• Collaborate with data engineers to clean up tables and ETLs.
• Uphold standards for our data and the dashboards driving company decisions.
• Tell a story visually with graphs, charts, and other data visuals.

Skills

Data visualization

Analytical thinking

Communication

Storytelling with data

Stakeholder engagement

Education

Bachelor's degree in information systems, CS or quantitative field

Tools

SQL

ETL

Looker

Tableau

Power BI

Job description

OP RaaS is seeking an experienced BI analyst to transform data into actionable insights. You will build and optimize dashboards using Looker/Tableau/Power BI, organize reports for stakeholders, and ensure consistency and performance across BI assets.

The role emphasizes storytelling with data, collaboration with data engineers, and a commitment to clean, reliable data that supports strategic decisions. This is a hands-on, results-driven position.