| Competitor / Benchmark | Avg. Salary | Variance | Primary Market Influence Factor & Explanation |
|---|---|---|---|
| Coban Computer Solutions | $104,858 |
+18.9%
|
Driven by niche technical certifications required for Coban Computer Solutions's specialized projects. |
| GreenSpark Software | $111,682 |
+26.6%
|
Adjusted for higher cost-of-living indices in GreenSpark Software's primary metro hubs. |
| Albadri Co | $95,892 |
+8.7%
|
Reflects structural premiums typical of Albadri Co's large-cap national operations. |
| Koenig PC | $93,951 |
+6.5%
|
Data suggests Koenig PC's workforce skews heavily towards veteran, high-tenure roles. |
| Software & Networking Industry | $126,859 |
+43.9%
|
Pay variances are driven by organizational scale, specialized skill requirements, or geographic cost-of-living factors. |
$104,858 / year
Salary Range: $92,387 - $118,293
River Edge, NJ
$111,682 / year
Salary Range: $98,407 - $126,000
Brooklyn, NY
$95,892 / year
Salary Range: $84,497 - $108,184
Vancouver, WA
$93,951 / year
Salary Range: $82,783 - $105,989
Houston, TX
$89,721 / year
Salary Range: $79,054 - $101,209
Charlotte, NC
$101,451 / year
Salary Range: $89,390 - $114,452
Los Alamitos, CA
$102,073 / year
Salary Range: $89,940 - $115,159
Yorba Linda, CA
$103,845 / year
Salary Range: $91,498 - $117,159
Venice, CA
$115,374 / year
Salary Range: $101,660 - $130,158
San Jose, CA
Get an estimated calculation of how much you should be earning and insight into your career options.
| Expense Category | Estimated Monthly Cost | Key Considerations / Notes |
|---|---|---|
| Housing (1-BR Apt Rent) | $950 - $1,400+ | A significant portion of DataMined LLC salary. Location choices impact this heavily. |
| Utilities (Basic) | $140 - $230 | Electricity, Heating, Cooling, Water etc. |
| Public Transportation | $60 (IndyGo monthly pass) | Essential for most commuters; car ownership is costly. |
| Groceries (Single Person) | $380 - $560 | Can be higher with more dining out or specialty stores. |
| Personal & Leisure | $350 - $650+ | Dining out, entertainment, shopping. Highly variable. |
| Healthcare (Individual) | $360 - $670+ | Varies significantly by plan & employer contribution. |
| Subtotal (Excluding Taxes) | $2,240 - $3,510+ | This subtotal does not include income taxes (federal, state, local), which can significantly impact your take-home pay. |
The typical annual salary range for most roles at DataMined LLC is approximately from $77,698 to $99,478. It's important to remember that these are overall averages, actual salaries vary significantly based on specific job titles, years of experience, skills, and location.
The average annual salary at DataMined LLC is $88,181, or an hourly wage of $42, in comparison to Coban Computer Solutions which pays $104,858 per year or $50 per hour.
Experience level is a significant factor in determining salary at DataMined LLC, as it is with most employers. Generally, employees with more years of relevant experience and a proven track record can command higher salaries. For example, a senior-level role will typically have a higher pay band than an entry-level or mid-career position within the same job family.
To determine if a salary offer from DataMined LLC in Indianapolis is fair, first compare the gross salary to our data for similar roles at DataMined LLC and its competitors (see our similar company salaries section) . Then, critically, use our "Cost of Living Insights for Indianapolis" to understand its purchasing power.
Several key factors influence salary levels at DataMined LLC. These primarily include: 1. Job Role & Responsibilities: More complex roles with greater impact typically command higher pay. 2. Experience & Skills: Your years of relevant experience and specific in-demand skills are critical. 3. Performance: Strong performance can lead to higher raises and bonuses. 4. Location: Office location impacts pay due to varying local market rates and cost of living. 5. Industry Benchmarks: DataMined LLC likely benchmarks its salaries against other companies in the Software & Networking sector. You can explore how these factors play out in our detailed salary data.
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