Business Intelligence Consultant Salary at Nimble-I BETA
How much does a Nimble-I Business Intelligence Consultant make?
As of April 2025, the average annual salary for a Business Intelligence Consultant at Nimble-I is $93,414, which translates to approximately $45 per hour. Salaries for Business Intelligence Consultant at Nimble-I typically range from $83,517 to $102,632, reflecting the diverse roles within the company.
It's essential to understand that salaries can vary significantly based on factors such as geographic location, departmental budget, and individual qualifications. Key determinants include years of experience, specific skill sets, educational background, and relevant certifications. For a more tailored salary estimate, consider these variables when evaluating compensation for this role.
DISCLAIMER: The salary range presented here is an estimation that has been derived from our proprietary algorithm. It should be noted that this range does not originate from the company's factual payroll records or survey data.
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What Skills Does a person Need at Nimble-I?
At Nimble-I, specify the abilities and skills that a person needs in order to carry out the specified job duties. Each competency has five to ten behavioral assertions that can be observed, each with a corresponding performance level (from one to five) that is required for a particular job.
- BI: Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.
- Business Intelligence: Business intelligence (BI) comprises the strategies and technologies used by enterprises for the data analysis of business information. BI technologies provide historical, current and predictive views of business operations. Common functions of business intelligence technologies include reporting, online analytical processing, analytics, data mining, process mining, complex event processing, business performance management, benchmarking, text mining, predictive analytics and prescriptive analytics. BI technologies can handle large amounts of structured and sometimes unstructured data to help identify, develop and otherwise create new strategic business opportunities. They aim to allow for the easy interpretation of these big data. Identifying new opportunities and implementing an effective strategy based on insights can provide businesses with a competitive market advantage and long-term stability.
- SQL: Structured Query Language) is a domain-specific language used in programming and designed for managing data held in a relational database management system (RDBMS), or for stream processing in a relational data stream management system (RDSMS).
- Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
- Data warehouse: A data warehouse is a central repository of information that can be analyzed to make more informed decisions. It creates a trove of historical data that can be retrieved and analyzed to provide useful insight into the organization's operations.
Related Jobs
Check more jobs information at Nimble-I
| Job Title | Average Nimble-I Salary | Hourly Rate | |
|---|---|---|---|
| 2 | BI Developer | $93,414 | $45 |
| 3 | HR Administrator | $52,142 | $25 |
| 4 | Microstrategy Developer | $80,827 | $39 |
| 5 | Power BI Developer | $93,414 | $45 |
Hourly Pay at Nimble-I
FAQ about Salary and Jobs at Nimble-I
The average hourly pay is $45. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
According to the data, the highest approximate salary is about $102,632 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
According to the data, the lowest estimated salary is about $83,517 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
There are various ways to increase the wage. Level of education: An employee may receive a higher salary and get a promotion if they obtain advanced degrees. Experience in management: an employee with supervisory experience can increase the likelihood to earn more.