Senior Data Analytics Engineer Salary at Bluegrace Ip Llc BETA

How much does a Bluegrace Ip Llc Senior Data Analytics Engineer make?

As of December 2024, the average annual salary for a Senior Data Analytics Engineer at Bluegrace Ip Llc is $114,036, which translates to approximately $55 per hour. Salaries for Senior Data Analytics Engineer at Bluegrace Ip Llc typically range from $103,283 to $122,216, 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.

Bluegrace Ip LLC Overview

Website:
mybluegrace.com
Size:
500 - 1,000 Employees
Revenue:
$50M - $200M
Industry:
Transportation

Founded in 2009, BlueGrace is a full-service third-party logistics provider that helps businesses manage their freight spend through industry technology and with a network of established carriers to customers across the country. They are headquartered in Riverview, Florida.

See similar companies related to Bluegrace Ip Llc

What Skills Does a person Need at Bluegrace Ip Llc?

At Bluegrace Ip Llc, 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.

  1. 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).
  2. 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.
  3. Informatica: Informatica is an American software development company founded in 1993. It is a data integration tool based on ETL architecture. It provides data integration software and services for various businesses, industries and government organizations.
  4. Big Data: Big data is a field that treats ways to analyze, systematically extract information from, or otherwise deal with data sets that are too large or complex to be dealt with by traditional data-processing application software. Data with many cases (rows) offer greater statistical power, while data with higher complexity (more attributes or columns) may lead to a higher false discovery rate. Big data challenges include capturing data, data storage, data analysis, search, sharing, transfer, visualization, querying, updating, information privacy and data source. Big data was originally associated with three key concepts: volume, variety, and velocity. Other concepts later attributed to big data are veracity (i.e., how much noise is in the data) and value. Current usage of the term big data tends to refer to the use of predictive analytics, user behavior analytics, or certain other advanced data analytics methods that extract value from data, and seldom to a particular size of data set. "There is little doubt that the quantities of data now available are indeed large, but that's not the most relevant characteristic of this new data ecosystem." Analysis of data sets can find new correlations to "spot business trends, prevent diseases, combat crime and so on." Scientists, business executives, practitioners of medicine, advertising and governments alike regularly meet difficulties with large data-sets in areas including Internet searches, fintech, urban informatics, and business informatics. Scientists encounter limitations in e-Science work, including meteorology, genomics, connectomics, complex physics simulations, biology and environmental research.
  5. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.

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Check more jobs information at Bluegrace Ip Llc

Job Title Average Bluegrace Ip Llc Salary Hourly Rate
2 System Engineer $109,899 $53
3 Systems Analyst $105,403 $51
4 Sales Intern $72,487 $35
5 Sales Manager $125,951 $61
6 Sales Manager, Carrier $125,951 $61
7 Senior Account Executive $85,516 $41
8 Senior Account Manager $86,490 $42
9 Senior Accountant $85,385 $41
10 Senior Director, Engineering $186,965 $90
11 Senior Manager, Claims $153,307 $74
12 Senior Sales Executive $274,319 $132
13 Senior Sales Manager $168,167 $81

Hourly Pay at Bluegrace Ip Llc

The average hourly pay at Bluegrace Ip Llc for a Senior Data Analytics Engineer is $55 per hour. The location, department, and job description all have an impact on the typical compensation for Bluegrace Ip Llc positions. The pay range and total remuneration for the job title are shown in the table below. Bluegrace Ip Llc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $114,036 look to you?

FAQ about Salary and Jobs at Bluegrace Ip Llc

1. How much does Bluegrace Ip Llc pay per hour?
The average hourly pay is $55. The salary for each employee depends on several factors, including the level of experience, work performance, certifications and skills.
2. What is the highest salary at Bluegrace Ip Llc?
According to the data, the highest approximate salary is about $122,216 per year. Salaries are usually determined by comparing other employees’ salaries in similar positions in the same region and industry.
3. What is the lowest pay at Bluegrace Ip Llc?
According to the data, the lowest estimated salary is about $103,283 per year. Pay levels are mainly influenced by market forces, supply and demand, and social structures.
4. What steps can an employee take to increase their salary?
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.