As of August 2026, the average salary for Senior Manager, Data Science & Analytics at Flexcar in the United States is $173,894 per year, which is equivalent to an hourly rate of approximately $84. Most salaries for this position fall within the range of $152,808 to $188,352 annually.
View detailed salary information by job role at Flexcar. This section highlights salary ranges and average pay across different job categories to help you understand potential earnings and compensation within the company.
$821,407 / year
Salary Range: $627,964 - $1,036,375
Executive
$345,982 / year
Salary Range: $302,641 - $412,617
Marketing
$245,861 / year
Salary Range: $209,123 - $282,433
Finance
$244,512 / year
Salary Range: $214,206 - $305,883
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$220,407 / year
Salary Range: $154,923 - $356,226
Foreign Exchange Administration
$199,089 / year
Salary Range: $182,171 - $215,368
Product and Brand Marketing
$168,666 / year
Salary Range: $151,608 - $186,862
Finance
$166,960 / year
Salary Range: $150,430 - $182,330
Legal
$149,085 / year
Salary Range: $139,800 - $166,971
Operations
$143,981 / year
Salary Range: $131,780 - $157,987
Design
$143,395 / year
Salary Range: $122,036 - $165,158
Creative Arts
To succeed and maximize your earning potential as a Senior Manager, Data Science & Analytics at Flexcar, a specific set of skills is crucial. The competencies listed below are highly valued. Explore the skills that can boost your compensation.
| Skills | Level of importance | Description |
|---|---|---|
| Insight | Insight is the understanding cause and effect based on the identification of relationships and behaviors within a model, context, or scenario. | |
| Analysis | Analysis is the process of considering something carefully or using statistical methods in order to understand it or explain it. | |
| Leadership | Knowledge of and ability to employ effective strategies that motivate and guide other members within our business to achieve optimum results. | |
| 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.
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|
| Data Science |
Data science is a multi-disciplinary field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from structured and unstructured data.
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Understanding the career path for a Senior Manager, Data Science & Analytics can help you plan long-term professional growth. Below is a typical career progression for a Senior Manager, Data Science & Analytics, highlighting common next-step roles and opportunities for increased responsibility and compensation.
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