Remote Senior Data Analyst: Pipelines & Insights

Bright Vision Technologies; Oregon; Hybrid; USD 115,000 - 165,000; Full time

Job summary

Bright Vision Technologies is seeking a Senior Data Analyst to design, build, validate, and support data solutions that enable trusted enterprise insights. You will work on data integration, modeling, quality, governance, and reporting, using SQL, Excel, dashboards, and KPI definitions to empower operations and analytics.

The role requires 6+ years in data analytics or data engineering, strong SQL skills, and ability to translate business needs into scalable data products while collaborating

Qualifications

• 6+ years in a related professional role.
• Experience with SQL, Excel, data profiling, KPI definition, reporting, visualization, and stakeholder analysis.
• Experience in data engineering, analytics, data management, or the platform area relevant to this role.
• Strong SQL skills and practical experience with the data technologies identified for the position.
• Understanding of data modeling, ETL/ELT, data validation, and integration patterns.

Responsibilities

• Develop and maintain data pipelines, transformations, reports, models, or platform components as required by the role.
• Translate source-to-target and business requirements into validated technical data solutions.
• Implement data quality checks, access controls, monitoring, and failure-recovery procedures.
• Tune SQL, processing jobs, models, dashboards, or platform resources for performance and cost.
• Document data definitions, lineage, operational procedures, and technical decisions.

Skills

SQL

Excel

Data profiling

KPI definition

Reporting

Visualization

Stakeholder analysis

Data modeling

Job description

Bright Vision Technologies is seeking a Senior Data Analyst to design, build, validate, and support data solutions that enable trusted enterprise insights. You will work on data integration, modeling, quality, governance, and reporting, using SQL, Excel, dashboards, and KPI definitions to empower operations and analytics.

The role requires 6+ years in data analytics or data engineering, strong SQL skills, and ability to translate business needs into scalable data products while collaborating