As of February 01, 2025, the average annual salary for a Business Analytics Senior Manager in Euclid, OH is $180,024. According to Salary.com, salaries can range from a low of $134,903 to a high of $216,515, with most professionals earning between $156,406 and $199,125.
| Annual Salary |
Monthly Pay |
Weekly Pay |
Hourly Wage |
|
| 75th Percentile | $202,982 | $16,915 | $3,903 | $98 |
| Average | $183,511 | $15,293 | $3,529 | $88 |
| 25th Percentile | $159,435 | $13,286 | $3,066 | $77 |
An entry-level Business Analytics Senior Manager with under 1 year experience makes about $169,490. With less than 2 years of experience, a mid-level Business Analytics Senior Manager makes around $170,537. After 2-4 years, the Business Analytics Senior Manager pay rises to about $172,282. Those senior Business Analytics Senior Manager with 5-8 years of experience earn roughly $174,725, and those Business Analytics Senior Manager having 8 years or more experience are expected to earn about $178,214 on average.
| Levels | Salary |
|---|---|
| Entry Level Business Analytics Senior Manager | $169,490 |
| Intermediate Level Business Analytics Senior Manager | $170,537 |
| Senior Level Business Analytics Senior Manager | $172,282 |
| Specialist Level Business Analytics Senior Manager | $174,725 |
| Expert Level Business Analytics Senior Manager | $178,214 |
| Entry Level | 8% |
| Mid Level | 7% |
| Senior Level | 6% |
| Top Level | 5% |
| Experienced | 3% |
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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
|
$198,026 |
10%
|
|
Data Warehouse
|
$196,226 |
9%
|
|
Data Engineering
|
$196,226 |
9%
|
|
Strategic Thinking
|
$196,226 |
9%
|
|
Business Acumen
|
$192,626 |
7%
|
|
Exploration
|
$192,626 |
7%
|
