Lead Generation Specialist Salary at Cience Technologies Inc BETA

How much does a Cience Technologies Inc Lead Generation Specialist make?

As of December 2024, the average annual salary for a Lead Generation Specialist at Cience Technologies Inc is $119,369, which translates to approximately $57 per hour. Salaries for Lead Generation Specialist at Cience Technologies Inc typically range from $105,556 to $130,383, 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.

CIENCE Technologies Inc Overview

Website:
cience.com
Size:
200 - 500 Employees
Revenue:
<$5M
Industry:
Business Services

Founded in 2015, CIENCE is a People-as-a-Service company that recruits, hires, trains, and retains teams for outsourced research prospecting, lead response, lead generation, and sales ops. CIENCE services include sales researchers, outbound and inbound SDRs, and CRM migration teams. CIENCE is headquartered in Irvine, California with offices in Colorado, Kentucky, Mexico, Brazil, Ukraine, and the Philippines.

See similar companies related to Cience Technologies Inc

What Skills Does a person Need at Cience Technologies Inc?

At Cience Technologies Inc, 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. Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
  2. Data Analytics: 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.
  3. Analysis: Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it.
  4. 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).
  5. Leadership: Knowledge of and ability to employ effective strategies that motivate and guide other members within our business to achieve optimum results.

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Check more jobs information at Cience Technologies Inc

Job Title Average Cience Technologies Inc Salary Hourly Rate
2 Account Manager $73,277 $35
3 Account Manager, Team Lead $118,878 $57
4 Associate Researcher $74,985 $36
5 Business Development Specialist $97,594 $47
6 Chief Operating Officer $447,024 $215
7 Junior Front-End Developer $62,968 $30
8 Manager, Partnerships $127,986 $62
9 Market Research Analyst $70,952 $34
10 Production Assistant $41,425 $20
11 Project Manager, Team Lead $136,673 $66
12 Public Relations Specialist $67,439 $32
13 Sales Coordinator $53,903 $26

Hourly Pay at Cience Technologies Inc

The average hourly pay at Cience Technologies Inc for a Lead Generation Specialist is $57 per hour. The location, department, and job description all have an impact on the typical compensation for Cience Technologies Inc positions. The pay range and total remuneration for the job title are shown in the table below. Cience Technologies Inc may pay a varying wage for a given position based on experience, talents, and education.
How accurate does $119,369 look to you?

FAQ about Salary and Jobs at Cience Technologies Inc

1. How much does Cience Technologies Inc pay per hour?
The average hourly pay is $57. 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 Cience Technologies Inc?
According to the data, the highest approximate salary is about $130,383 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 Cience Technologies Inc?
According to the data, the lowest estimated salary is about $105,556 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.