4 дня назад
Analytics Engineer (Power BI)
68 500 - 116 300$
Мэтч & Сопровод
Для мэтча с этой вакансией нужен Plus
Описание вакансии
Текст:
TL;DR
Analytics Engineer (Power BI): Building and supporting business intelligence and analytics solutions for data-driven decision-making with an accent on scalable reporting, data quality, and cross-functional requirements translation. Focus on developing data models and dashboards, validating pipelines and analytics deliverables, and solving complex data and reporting issues.
Location: Irving, Texas, at Corporate HQ
Salary: $68,500–$116,300 per year, plus incentive eligibility.
Company
supports healthcare organizations through analytics, business intelligence, and operational insights.
What you will do
- Design, develop, maintain, and enhance business intelligence and analytics solutions.
- Build reporting, dashboards, data models, and analytics products using multiple data sources and platforms.
- Partner with clients and cross-functional teams to translate business requirements into scalable reporting capabilities.
- Create and execute test cases, troubleshoot data issues, and validate pipelines, reports, dashboards, and other deliverables.
- Analyze complex datasets, perform ad hoc analysis, and identify opportunities for automation, data optimization, and process improvement.
- Document business logic, data definitions, code, test results, and solution changes while supporting iterative agile delivery.
Requirements
- At least 2 years of relevant experience; a relevant degree is preferred.
- Proficiency with SQL.
- Experience developing and maintaining reports, dashboards, and data models with Power BI is highly preferred.
- Familiarity with data warehousing, ETL processes, business intelligence best practices, and data quality validation.
- Strong analytical, problem-solving, critical-thinking, communication, and organizational skills.
- Ability to collaborate with cross-functional teams, manage multiple priorities, and communicate technical concepts to non-technical audiences.
Nice to have
- Experience with cloud-based analytics platforms, performance optimization, data modeling, or agile development methodologies.
- Experience supporting healthcare, supply chain, or operational analytics initiatives.
Culture & Benefits
- Inclusive environment supporting employee engagement, authenticity, and contribution.
- Opportunities for personal and professional development.
- Comprehensive benefits plan.
- Equal employment opportunity for all employees and applicants.
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