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Zusammenfassung
A leading technology firm in New York is seeking a Business Intelligence Developer to design, develop, and maintain comprehensive BI solutions. The ideal candidate will work closely with cross-functional teams to translate business needs into technical requirements and create intuitive data visualizations using tools such as Looker, Tableau, or Power BI. Strong SQL skills are essential to effectively manage and manipulate data across the organization. This role provides a unique opportunity to enhance decision-making processes through reliable data insights.
Qualifikationen
Experience in designing and maintaining BI solutions.
Proficiency in SQL for ETL processes.
Ability to create data visualizations for business insights.
Aufgaben
Design and maintain business intelligence solutions.
Translate business needs into technical requirements.
Develop KPIs and reports for data center operations.
Create compelling data visualizations for stakeholders.
Kenntnisse
Business intelligence solutions development
SQL query optimization
Data visualization (Looker, Tableau, Power BI)
Cross-functional collaboration
Jobbeschreibung
You will design, develop, and maintain BI solutions that provide clear and reliable data to leadership and stakeholders.
Responsibilities
Design, develop, and maintain end-to-end business intelligence solutions, including data models, pipelines, and interactive dashboards.
Partner with cross-functional teams, including engineers, product managers, and operations leaders, to understand business needs and translate them into technical requirements.
Write and optimize complex SQL queries to extract, transform, and load (ETL) data from various data sources into our data warehouse.
Develop and automate key performance indicator (KPI) frameworks and reports that track the performance and efficiency of data center operations.
Create intuitive and compelling data visualizations using BI tools like Looker, Tableau, or Power BI to help stakeholders quickly grasp complex data trends.
Ensure the integrity, accuracy, and security of data, and proactively troubleshoot any data-related issues
Proactively identify opportunities to improve data collection, reporting processes, and overall data infrastructure
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