BI Developer Sr. or Lead
- Source: Lever
- Jobgether
- $100,600 to $125,700 /yr
- Remote
- United States
- Full-Time
- Senior
Job Description
This position is listed on behalf of a partner company, which manages all applications and next steps. Our partner is looking for a BI Developer Sr. or Lead based in the United States.
We are seeking an experienced Business Intelligence Developer to design and deliver reliable, secure, and scalable data solutions that empower informed business decisions. This fully remote opportunity offers the flexibility to contribute at either the Senior or Lead level, depending on your technical expertise and leadership experience. You will develop dashboards, reports, data pipelines, governed datasets, and data models that transform complex information into meaningful insights. Working closely with business stakeholders and technical teams, you will translate requirements into effective solutions while ensuring data quality, security, and operational reliability. You will also help optimize existing systems, strengthen governance practices, and improve the efficiency of enterprise reporting and analytics. For candidates at the Lead level, the role offers additional opportunities to guide technical strategy, mentor colleagues, and drive complex initiatives across the organization.
Accountabilities
-
Business Intelligence Development and Data Solutions
- Design, develop, implement, and maintain BI reports, dashboards, data extracts, governed datasets, and ETL/ELT processes.
- Support end-to-end data integration, data mart development, reporting, and analytics solutions, from source systems through downstream consumption.
- Translate complex business requirements into technical specifications, solution designs, source-to-target mappings, and clearly defined business rules.
- Conduct detailed data analysis to support requirements gathering, metric definitions, source validation, and data-quality assessments.
- Develop and maintain dimensional data models, data warehouse components, OLAP cubes, semantic layers, and other analytical structures as required.
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Testing, Quality Assurance, and Production Support
- Perform unit testing and support output validation, data reconciliation, and business acceptance criteria.
- Troubleshoot reports, data extracts, ETL/ELT processes, scheduled jobs, and production data solutions.
- Conduct root-cause analysis for data, reporting, and pipeline issues, documenting resolutions and preventive measures.
- Support user acceptance testing, release planning, change management, and deployment activities.
- Maintain production readiness through effective scheduling, orchestration, monitoring, incident triage, and operational support practices.
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Documentation, Governance, and Security
- Create and maintain technical documentation, including business rules, data lineage, technical specifications, source-to-target mappings, runbooks, and support procedures.
- Support data governance, metadata management, data stewardship, reporting standards, and data-quality initiatives.
- Help maintain appropriate access controls and ensure the secure handling of sensitive information.
- Promote consistency, reliability, and compliance across data development and reporting processes.
-
Optimization and Technical Leadership
- Identify and implement improvements to the performance, reliability, automation, efficiency, and supportability of existing BI solutions.
- Contribute technical expertise to projects, system enhancements, and enterprise-wide initiatives.
- At the Lead level, guide technical decisions, establish and improve development standards, mentor developers and analysts, and coordinate the resolution of complex production issues.
- Lead complex initiatives involving data integration, ETL/ELT, data modeling, data warehousing, and enterprise analytics solutions.
Requirements
- Bachelor’s degree in Computer Science, Information Systems, Information Technology, Data Analytics, or a related field, or equivalent practical experience.
- At least five years of relevant experience in IT, business intelligence, data engineering, data integration, reporting, or analytics delivery.
- Demonstrated experience developing and supporting enterprise data solutions in production environments.
- Advanced SQL skills using Oracle, Microsoft SQL Server, or another leading relational database management system.
- Strong experience developing reports and dashboards using…
Skills
- oracle
- microsoft-sql-server
- power-bi
- cognos
- microsoft-azure
- amazon-web-services
- google-cloud-platform
- Snowflake
- microsoft-fabric
- lever
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