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Business Intelligence Developer

Posted 55 Minutes Ago
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Remote or Hybrid
Hiring Remotely in United States
90K-130K Hourly
Mid level
Remote or Hybrid
Hiring Remotely in United States
90K-130K Hourly
Mid level
Design, develop, and maintain BI solutions and dashboards (Tableau, Power BI, QlikView). Collaborate with stakeholders, build data models, ETL processes and data warehouses, ensure data quality and security, and support business decision-making while staying current with BI trends.
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We are seeking an experienced Business Intelligence Developer to join our team. The successful candidate will have a strong background in business intelligence development, excellent analytical and problem-solving skills, and the ability to work in a fast-paced environment.

 

Key Responsibilities:

 

1. Design, develop, and maintain business intelligence solutions using tools such as Tableau, Power BI, or QlikView.

2. Collaborate with cross-functional teams, including business stakeholders, data analysts, and IT professionals.

3. Develop and maintain data visualizations, reports, and dashboards to support business decision-making.

4. Work with large datasets to develop and implement data models, ETL processes, and data warehouses.

5. Ensure data quality, integrity, and security, adhering to organizational standards and best practices.

6. Stay up-to-date with industry trends, emerging technologies, and new tools and methodologies.

 

Requirements:

 

1. Bachelor's degree in Computer Science, Information Systems, or related field.

2. Advanced degree (e.g., MS) preferred.

3. Minimum 3 years of experience in business intelligence development or a related field.

4. Professional certifications, such as CBIP or Microsoft Certified: Data Analyst Associate.

5. Strong analytical, problem-solving, and communication skills.

6. Ability to work in a fast-paced environment.

7. Proficiency in business intelligence tools, such as Tableau, Power BI, or QlikView.

 

Nice to Have:

 

1. Experience with data warehousing, ETL, and data modeling.

2. Knowledge of programming languages, such as SQL, Python, or R.

3. Familiarity with cloud-based technologies, such as AWS or Azure.


 

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