As of December 01, 2024, the average annual pay of HR Data Analyst II in Rochester, NY is $73,600. While Salary.com is seeing that HR Data Analyst II salary in Rochester, NY can go up to $95,188 or down to $56,979, but most earn between $64,900 and $84,900. Salary.com shows the average base salary (core compensation), as well as the average total cash compensation for the job of HR Data Analyst II in the United States.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $84,900 | $7,075 | $1,633 | $41 |
| Average | $73,600 | $6,133 | $1,415 | $35 |
| 25th Percentile | $64,900 | $5,408 | $1,248 | $31 |
An entry-level HR Data Analyst II with under 1 year experience makes about $69,907. With less than 2 years of experience, a mid-level HR Data Analyst II makes around $70,162. After 2-4 years, the HR Data Analyst II pay rises to about $73,569. Those senior HR Data Analyst II with 5-8 years of experience earn roughly $78,340, and those HR Data Analyst II having 8 years or more experience are expected to earn about $78,680 on average.
| Levels | Salary |
|---|---|
| Entry Level HR Data Analyst II | $69,907 |
| Intermediate Level HR Data Analyst II | $70,162 |
| Senior Level HR Data Analyst II | $73,569 |
| Specialist Level HR Data Analyst II | $78,340 |
| Expert Level HR Data Analyst II | $78,680 |
| Entry Level | 5% |
| Mid Level | 5% |
| Senior Level | 0% |
| Top Level | 6% |
| Experienced | 7% |
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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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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.
| Skill | Salary | Demand |
|---|---|---|
|
Leadership
|
$76,544 |
4%
|
|
Collaboration
|
$76,544 |
4%
|
|
Project Management
|
$76,544 |
4%
|
|
Presentation
|
$75,072 |
2%
|
|
Data Analytics
|
$75,072 |
2%
|
|
Commitment
|
$75,072 |
2%
|
