Senior Data Analyst Salary at Skillgigs BETA

How much does a Skillgigs Senior Data Analyst make?

As of April 2025, the average annual salary for a Senior Data Analyst at Skillgigs is $92,625, which translates to approximately $45 per hour. Salaries for Senior Data Analyst at Skillgigs typically range from $83,462 to $100,900, 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.

SkillGigs Overview

Website:
skillgigs.com
Size:
50 - 100 Employees
Revenue:
$5M - $10M
Industry:
Business Services

SkillGigs, Inc. is an AI sourcing marketplace platform that connects skilled healthcare and technology job seekers with opportunities. Founded in 2017, on the belief that companies and talent want to interact in innovative ways, SkillGigs aims to remove traditional workforce barriers. The company implements patented software focused on matching skills to enable strong candidates for each position. SkillGigs is dedicated to empowering users with the freedom of choice and balancing the power equation between the job seeker and employers.

See similar companies related to Skillgigs

What Skills Does a person Need at Skillgigs?

At Skillgigs, 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. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  2. 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).
  3. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
  4. Data Analysis: Data analysis is a process of inspecting, cleansing, transforming, and modeling data with the goal of discovering useful information, informing conclusions, and supporting decision-making. Data analysis has multiple facets and approaches, encompassing diverse techniques under a variety of names, and is used in different business, science, and social science domains. In today's business world, data analysis plays a role in making decisions more scientific and helping businesses operate more effectively. Data mining is a particular data analysis technique that focuses on modeling and knowledge discovery for predictive rather than purely descriptive purposes, while business intelligence covers data analysis that relies heavily on aggregation, focusing mainly on business information. In statistical applications, data analysis can be divided into descriptive statistics, exploratory data analysis (EDA), and confirmatory data analysis (CDA). EDA focuses on discovering new features in the data while CDA focuses on confirming or falsifying existing hypotheses. Predictive analytics focuses on application of statistical models for predictive forecasting or classification, while text analytics applies statistical, linguistic, and structural techniques to extract and classify information from textual sources, a species of unstructured data. All of the above are varieties of data analysis.
  5. Tableau: Using business intelligence software to perform data analysis, data visualization, and the BI process of an organization.

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Check more jobs information at Skillgigs

Job Title Average Skillgigs Salary Hourly Rate
2 Assistant Team Lead $68,365 $33
3 Controller & Vice President, Finance $226,163 $109
4 Digital Marketing Associate $57,466 $28
5 Healthcare Recruiter $82,920 $40
6 IT Recruiter (US) $71,829 $35
7 Manager, Talent Acquisition $113,484 $55
8 Process Trainer $62,525 $30
9 Recruiter $67,531 $32
10 Account Manager, Vendor $94,511 $45
11 Accounting Assistant $44,422 $21
12 Executive Assistant $78,295 $38
13 Healthcare Relationship Manager $94,511 $45

Hourly Pay at Skillgigs

The average hourly pay at Skillgigs for a Senior Data Analyst is $45 per hour. The location, department, and job description all have an impact on the typical compensation for Skillgigs positions. The pay range and total remuneration for the job title are shown in the table below. Skillgigs may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $92,625 look to you?

FAQ about Salary and Jobs at Skillgigs

1. How much does Skillgigs pay per hour?
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.
2. What is the highest salary at Skillgigs?
According to the data, the highest approximate salary is about $100,900 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 Skillgigs?
According to the data, the lowest estimated salary is about $83,462 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.