As of March 01, 2025, the average annual salary for a Business Data Analysis Senior Manager in Reno, NV is $184,900. Salary.com reports that pay typically ranges from $160,700 to $204,600, with most professionals earning between $138,667 and $222,536.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $204,600 | $17,050 | $3,935 | $98 |
| Average | $184,900 | $15,408 | $3,556 | $89 |
| 25th Percentile | $160,700 | $13,392 | $3,090 | $77 |
An entry-level Business Data Analysis Senior Manager with under 1 year experience makes about $173,684. With less than 2 years of experience, a mid-level Business Data Analysis Senior Manager makes around $174,754. After 2-4 years, the Business Data Analysis Senior Manager pay rises to about $176,539. Those senior Business Data Analysis Senior Manager with 5-8 years of experience earn roughly $179,039, and those Business Data Analysis Senior Manager having 8 years or more experience are expected to earn about $182,609 on average.
| Levels | Salary |
|---|---|
| Entry Level Business Data Analysis Senior Manager | $173,684 |
| Intermediate Level Business Data Analysis Senior Manager | $174,754 |
| Senior Level Business Data Analysis Senior Manager | $176,539 |
| Specialist Level Business Data Analysis Senior Manager | $179,039 |
| Expert Level Business Data Analysis Senior Manager | $182,609 |
| Entry Level | 6% |
| Mid Level | 5% |
| Senior Level | 5% |
| Top Level | 3% |
| Experienced | 1% |
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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.
Insight: Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario.
BI: Business intelligence (BI) is a technology-driven process for analyzing data and delivering actionable information that helps executives, managers and workers make informed business decisions.
Data Quality: Data quality refers to the condition of a set of values of qualitative or quantitative variables. There are many definitions of data quality but data is generally considered high quality if it is "fit for [its] intended uses in operations, decision making and planning". Alternatively, data is deemed of high quality if it correctly represents the real-world construct to which it refers. Furthermore, apart from these definitions, as data volume increases, the question of internal data consistency becomes significant, regardless of fitness for use for any particular external purpose. People's views on data quality can often be in disagreement, even when discussing the same set of data used for the same purpose. Data cleansing may be required in order to ensure data quality.
| Skill | Salary | Demand |
|---|---|---|
|
Business Operations
|
$203,390 |
10%
|
|
Data Warehouse
|
$201,541 |
9%
|
|
Data Engineering
|
$201,541 |
9%
|
|
Strategic Thinking
|
$201,541 |
9%
|
|
Business Acumen
|
$197,843 |
7%
|
|
Exploration
|
$197,843 |
7%
|
