How much does a BI Tools Optimization Specialist I make in Monterrey, MX? The average BI Tools Optimization Specialist I salary in Monterrey, MX is MXN$238K as of April 08, 2021, but the range typically falls between MXN$150K and MXN$303K. Salary ranges can vary widely depending on many important factors, including education, certifications, additional skills, the number of years you have spent in your profession. With more global market data that allows you to price your jobs around the world and compare job salaries across countries and cities on real-time compensation data, Salary.com helps you to determine your exact pay target.

Global Market Data
50TH(Median) MXN$238K 25TH MXN$150K 75TH MXN$303K

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Skills to Boost a BI Tools Optimization Specialist I Salary

Mastering key skills can significantly increase your earning potential as a BI Tools Optimization Specialist I. According to Salary.com's Real-time Job Posting Data, expertise in Analysis can lead to a 10% salary raise, while strong Data Modeling skills boost pay by a 1%. Even Oracle can result in a 1% salary increase.

Skill Library evaluates talent skills across five levels, supported by 5-10 behavior indicators, delivering precise insights for data-driven hiring decisions.
Analysis
Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
Data Modeling
Data modeling in software engineering is the process of creating a data model for an information system by applying certain formal techniques.
Oracle
Applying Oracle to manage data and information applications effectively.
More Skills...
Based on recent job listings, in-demand skills in the BI Tools Optimization Specialist I field include Analysis (10%), Data Modeling (1%), and Oracle (1%). These skills reflect current market needs.
Skills Salary Demand
Skill & Salary Demand
Analysis MXN$262K
Analysis
MXN$262K
10%
Data Modeling MXN$241K
Data Modeling
MXN$241K
1%
Oracle MXN$241K
Oracle
MXN$241K
1%
Analysis
6.83%
Data Modeling
16.53%
Oracle
0.35%
Job Openings for BI Tools Optimization Specialist I in Monterrey, Mexico
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The city of Monterrey is 540 metres (1,770 ft) above sea level in the northeastern state of Nuevo León. Monterrey translated from Spanish to English is "King Mount" or "King mountain", which refers to the city's topography and the large mountains that surround it. The Santa Catarina River—dry most of the year on the surface but with flowing underground water—bisects Monterrey from east to west, separating the city into north and south halves, and drains the city to the San Juan River and Rio Grande. Monterrey is adjacent to San Nicolás de los Garza, García and General Escobedo to the north; G...
Source: Wikipedia (as of 03/30/2021). Read more from Wikipedia
City, Country Compared to national average
City, Country Guadalajara, MX Compared to national average
-5.3%
City, Country Queretaro, MX Compared to national average
+ 6.9%
City, Country Aguascalientes, MX Compared to national average
-4.4%
City, Country Cuernavaca, MX Compared to national average
+ 3.7%
City, Country San Luis Potosi, MX Compared to national average
-1.4%
City, Country Mexicali, MX Compared to national average
-4.8%
Employees with BI Tools Optimization Specialist I in their job title in Queretaro, MX earn an average of 6.9% more than the national average. The lower salaries can be found in Guadalajara, MX (5.3% less), Mexicali, MX (4.8% less), Aguascalientes, MX (4.4% less), San Luis Potosi, MX (1.4% less).

Understand the base salary paid range for a BI Tools Optimization Specialist I in Monterrey, MX

Average Base Salary

Core compensation

150210
303064
238239
The chart shows the base salary for BI Tools Optimization Specialist I in Monterrey ranges from MXN$150K to MXN$303K with the average base salary of MXN$238K. The basic salary is the employee minimum income you can expect to earn in exchange for your time or services. This is the amount earned before adding benefits, bonuses, or compensation. The base salary of the BI Tools Optimization Specialist I may get paid difference by industry, location, and factors.