Median Salary
$81,109
Vs National Avg
Hourly Wage
$38.99
Dollars / Hr
Workforce
0.2k
Total Jobs
Growth
+36%
10-Year Outlook
The Data Analyst’s Guide to Lawrence, Kansas
Look, I've lived in Lawrence for years, and I've watched the tech and data scene grow from a handful of startups to a steady, reliable market. If you're a data analyst eyeing this town, you're not coming for the skyscrapers—you're coming for the value, the community, and the genuine work-life balance. Forget the coastal hype; Lawrence is about making your data skills work for you in a place where your paycheck actually stretches. This guide is built from local insights, cold numbers, and a realistic look at what your day-to-day will be like here.
The Salary Picture: Where Lawrence Stands
Let's cut to the chase. In Lawrence, the median salary for a Data Analyst is $81,109 per year, which breaks down to an hourly rate of $38.99. This is a solid local benchmark. To put it in perspective, the national average for the role is $83,360/year. So, Lawrence sits just slightly below the national average, but this is where the local cost of living becomes your secret weapon.
Breaking it down by experience, here’s what you can realistically expect in the Lawrence Metro area (which includes Topeka and parts of Douglas County):
| Experience Level | Typical Lawrence Salary Range | Key Local Notes |
|---|---|---|
| Entry-Level (0-2 yrs) | $58,000 - $68,000 | Often found at smaller marketing agencies or university support roles. Strong SQL and basic visualization skills are the entry ticket. |
| Mid-Level (3-5 yrs) | $70,000 - $85,000 | This is the sweet spot for many local employers. You'll be expected to handle entire projects, from ETL to dashboarding. |
| Senior (6-9 yrs) | $86,000 - $98,000 | Here, you lead teams, manage stakeholders at large local employers, and often specialize in areas like healthcare or logistics data. |
| Expert (10+ yrs) | $99,000+ | These roles are less common but exist. Think Director of Analytics at a major hospital system or a lead data architect for a state contractor. |
How does Lawrence stack up against other Kansas cities?
- Wichita: Salaries are similar (median around $82,500), but the aerospace and manufacturing sectors dominate, offering different specializations.
- Kansas City Metro: Salaries are higher (median around $91,000), but the cost of living, especially rent, is significantly steeper. A 1BR in Kansas City averages about $1,200/month.
- Topeka: Salaries are slightly lower (median around $78,000), but it's a 30-minute commute and home to major state government and insurance employers, which can be a good niche.
The data from the Bureau of Labor Statistics (BLS) and local job board aggregators show that there are approximately 192 active Data Analyst jobs in the Lawrence metro area at any given time, with a 10-year job growth projection of 36%. That growth is fueled by the University of Kansas (KU), a growing healthcare sector, and a handful of tech companies that have set up shop, attracted by the talent pipeline from KU.
Insider Tip: Don't just look at the base salary. Many local employers, especially the larger ones, offer strong benefits packages. At a place like LMH Health, you might see a 403(b) match that's worth thousands, which effectively bumps your total compensation. Always negotiate the full package.
📊 Compensation Analysis
📈 Earning Potential
Wage War Room
Real purchasing power breakdown
Select a city above to see who really wins the salary war.
The Real Take-Home: After Taxes and Rent
A salary of $81,109 sounds great, but what does it mean for your monthly life in Lawrence? Let's run the numbers. We'll assume you're single, filing as a single filer, and using the 2023 federal tax brackets. We'll also include state income tax (Kansas has a progressive rate, averaging around 5.7% for this income level). This is a rough estimate; always consult a tax professional.
Estimated Monthly Take-Home Pay for a Single Filer:
- Gross Monthly: $6,759
- Federal Tax (est.): ~$1,100
- FICA (7.65%): ~$517
- Kansas State Tax (est.): ~$385
- Estimated Net Monthly: ~$4,757
Now, let's look at a realistic monthly budget for a Data Analyst living in Lawrence. The average 1BR rent is $869/month.
| Expense Category | Estimated Monthly Cost | Notes |
|---|---|---|
| Rent (1BR) | $869 | This can vary widely by neighborhood (see below). |
| Utilities (Electric, Gas, Water, Internet) | $180 | Lawrence has a municipal utility (LUD), which can be more stable than private providers. |
| Groceries & Household | $400 | Easy to do at local spots like the Merc or Hy-Vee. |
| Transportation | $250 | Includes gas, insurance, and occasional maintenance. Lawrence is car-centric. |
| Health Insurance (Employer-sponsored) | $250 | A rough average for a single person's contribution. |
| Entertainment & Dining | $300 | You can live well here without breaking the bank. |
| Savings/Retirement (15% of gross) | $1,014 | This is a crucial line item. |
| Miscellaneous/Buffer | $494 | For clothes, phone, hobbies, and unexpected costs. |
| TOTAL | $3,757 | |
| Remaining Balance | ~$1,000 | This is your extra cushion for travel, more savings, or a bigger emergency fund. |
Can you afford to buy a home? Yes, with a clear plan. The median home price in Lawrence is around $265,000. With a $81,109 salary, you are well within the typical lender's debt-to-income ratio guidelines. A 20% down payment ($53,000) is a significant upfront cost, but with your estimated $1,000/month surplus, you could save for it in about 4-5 years if you're disciplined. Many first-time homebuyer programs exist in Kansas, and local lenders are very familiar with them. A 30-year mortgage on a $265,000 home (with 10% down) would run you roughly $1,600-$1,700/month including taxes and insurance, which is manageable on this salary.
💰 Monthly Budget
📋 Snapshot
Where the Jobs Are: Lawrence's Major Employers
The job market here is diverse, anchored by education and healthcare, with a growing tech undercurrent. You won't find a Google office, but you will find stable, meaningful work. Here are the key players:
The University of Kansas (KU) & KU Medical Center: This is the 800-pound gorilla. KU employs thousands, and their need for data analysts is constant. You'll find roles in institutional research, enrollment analytics, IT/ERP support, and grant management. The KU Medical Center in Kansas City (a 45-minute commute) is a major hub for healthcare analytics. Hiring trends are stable, often tied to the academic calendar.
LMH Health (Lawrence Memorial Hospital): The primary hospital in town. They have a growing informatics department. Roles here focus on patient data, operational efficiency (bed utilization, staff scheduling), and quality reporting. They value analysts with experience in EHR systems like Epic or Cerner. Hiring is steady, and they often promote from within.
The State of Kansas (Douglas County & Topeka): While the main capitol is in Topeka, Douglas County government and state agencies have offices in Lawrence. Jobs here involve public health data, transportation metrics, and social services analytics. The work is mission-driven, and the benefits are excellent (pension, great healthcare). The hiring process can be slow but is very secure.
Sprint (Now T-Mobile): While the corporate headquarters moved, T-Mobile still has a significant footprint in the Kansas City area, and many of their data professionals live in Lawrence. They hire analysts for network performance, customer behavior, and marketing analytics. The commute to the Overland Park campus is about 45 minutes, but the salaries are often higher than the local Lawrence median.
Local Marketing & Tech Agencies: Companies like Marketplace Solutions or AdVenture Media (smaller, local shops) hire analysts for digital marketing, SEO, and client reporting. These roles are fast-paced, less corporate, and often offer more flexibility. They're a great entry point if you're coming from a non-traditional background.
Financial Services & Insurance: Topeka is a hub for insurance (e.g., Security Benefit, Mutual of Omaha), and many employees live in Lawrence. These companies need analysts for risk assessment, fraud detection, and customer segmentation. The work is data-heavy and can be highly specialized.
Insider Tip: The best jobs in Lawrence are often not advertised on big national boards. Connect with the local Lawrence Tech Meetup group (on Meetup.com) and follow the LinkedIn pages of these employers. A personal connection can get your resume to the top of the pile.
Getting Licensed in KS
For the vast majority of Data Analyst roles in Kansas, there is no state-specific license required. This is different from fields like nursing or accounting. Your credibility comes from your skills, portfolio, and experience.
However, there are important certifications that are highly valued by local employers:
- Google Data Analytics Professional Certificate: Widely recognized and a great entry point.
- Microsoft Certified: Power BI Data Analyst Associate: Essential for roles in corporate and government settings where Microsoft stack is dominant.
- Tableau Desktop Specialist: Still valuable, especially in academia and healthcare where it's used for research visualization.
State-Specific Requirements:
- If you work for the State of Kansas in a specific capacity (e.g., within the Department of Revenue), you might need to undergo a standard state employee background check.
- For healthcare data roles, HIPAA compliance training is mandatory, and employers will typically provide this.
Costs & Timeline:
- Most certifications cost between $100-$300 for the exam.
- Timeline: You can prepare for and earn a foundational certificate (like Google's) in 3-6 months of dedicated part-time study. Advanced Power BI or Tableau certs might take 6-9 months.
Data Source: Kansas State Board of Healing Arts (for healthcare-specific roles) and general industry best practices from sources like the BLS and Burning Glass Technologies.
Best Neighborhoods for Data Analysts
Living in Lawrence is about choosing your vibe. The commute is rarely an issue—traffic here is minimal. Here’s the lay of the land:
Downtown/West Lawrence (78501):
- Vibe: Historic, walkable, close to restaurants and the river. Mix of young professionals and long-term residents.
- Commute: Walk or bike to many downtown offices. 10-minute drive to KU.
- Rent Estimate: $900 - $1,100/month for a 1BR. More for renovated lofts.
- Best For: Those who want an urban feel without the big-city price tag.
East Lawrence (78504):
- Vibe: Artistic, eclectic, more affordable. Great local coffee shops and a strong community feel.
- Commute: 10-15 minute drive to downtown or KU.
- Rent Estimate: $750 - $900/month for a 1BR. You get more space for your money here.
- Best For: Creatives, budget-conscious analysts, and those who value a unique neighborhood character.
North Lawrence (78501, north of 6th St):
- Vibe: Suburban residential, quiet, family-oriented. Close to the river and parks.
- Commute: 10-15 minute drive to anywhere in town.
- Rent Estimate: $800 - $950/month for a 1BR or small house.
- Best For: Those who want a quieter, more traditional residential setting.
South Lawrence (78503):
- Vibe: The fastest-growing area. More modern apartment complexes, shopping centers (like the Free State Brewery area), and easy highway access.
- Commute: 10-20 minute drive to most work centers.
- Rent Estimate: $850 - $1,050/month for a 1BR in a newer complex.
- Best For: Those who prefer modern amenities and convenience.
Insider Tip: If you're working at KU or LMH, living on the east side or downtown minimizes your commute. If you work for a state agency in Topeka, living in North Lawrence gives you quick access to I-70.
The Long Game: Career Growth
A Data Analyst career in Lawrence isn't a dead-end; it's a launchpad with different paths.
Specialty Premiums:
- Healthcare Analytics: Analysts with Epic/Cerner experience or public health knowledge can command a 10-15% premium over the median, especially at LMH or KU Med.
- Government & Public Policy: Expertise in data for social services or transportation can lead to stable, senior-level roles with the state.
- Higher Education Administration: Understanding enrollment trends and student success metrics is a niche that pays well within the KU ecosystem.
Advancement Paths:
- Analyst → Senior Analyst → Analytics Manager: The classic corporate ladder, available at larger employers like T-Mobile or state agencies.
- Analyst → Data Scientist: Requires upskilling in Python, machine learning, and statistics. KU's strong engineering and math programs offer part-time graduate degrees that are perfect for this transition.
- Analyst → Business Intelligence Developer: If you enjoy the technical side (building data warehouses, ETL pipelines), this is a natural and lucrative next step.
- Analyst → Consultant: Lawrence has a small but growing freelance scene. You can work remotely for national clients while living here, leveraging the low cost of living to build your own business.
10-Year Outlook: The 36% job growth projection is optimistic but plausible. Lawrence's stable institutions (KU, hospitals) are increasingly data-driven, and the remote work trend allows Lawrence-based analysts to compete for national salaries while enjoying local costs. The city is investing in fiber internet and digital infrastructure, which supports a growing remote workforce.
The Verdict: Is Lawrence Right for You?
| Pros | Cons |
|---|---|
| Excellent Value: Your $81,109 salary goes much further here than in a coastal city. | Limited "Big Tech": If you dream of FAANG, this isn't the place. The job market is more traditional. |
| Stable Employers: KU and healthcare offer job security that's rare in the tech world. | Smaller Network: The professional tech community is tight-knit. You have to be proactive to network. |
| Work-Life Balance: The culture is not "hustle at all costs." Evenings and weekends are respected. | Car Dependency: Public transit is limited. You'll need a car to get around easily. |
| Vibrant Culture: A college town with live music, great food, and a strong sense of community. | Slower Pace: If you thrive on constant change and rapid growth, it might feel too quiet. |
| Proximity to Two Cities: Easy access to Topeka (30 min) and Kansas City (45 min) for events, pro sports, and airports. | Weather: Winters can be cold and windy; summers are hot and humid. Tornado season is a reality. |
Final Recommendation:
Lawrence is an ideal choice for a Data Analyst who values stability, affordability, and quality of life over the high-stakes, high-cost tech scene. It's perfect if you're early in your career and want to build experience without crippling debt, or if you're later in your career and want to stretch your retirement savings. If you're motivated by a clear career path in healthcare, education, or public service, and you don't mind a smaller city vibe, you will thrive here. If your primary goal is to work for a cutting-edge AI startup, you'll likely need to look elsewhere or embrace the remote work model from Lawrence.
FAQs
1. Do I need a master's degree to get a data analyst job in Lawrence?
Absolutely not. A bachelor's degree (in any field, but especially with a quantitative component) plus solid skills in SQL, Excel, and a visualization tool like Power BI or Tableau is the standard entry requirement. Many successful analysts here have degrees in economics, psychology, or even the humanities, supplemented by bootcamp certificates. The only exception might be highly specialized research roles at KU, which may prefer an advanced degree.
2. How competitive is the job market?
There are 192 jobs for a metro population of 96,209, which indicates a healthy, competitive but not overwhelming market. You are competing with recent KU grads, but also with professionals from Topeka and Kansas City. The key is tailoring your resume to the specific employer (e.g., highlighting healthcare experience for LMH, or education metrics for KU). Being local or willing to relocate is a plus.
3. What's the tech stack I should focus on?
The Microsoft stack (Power BI, SQL Server, Azure) is dominant here, especially in healthcare, government, and large corporations. Tableau is also widely used, particularly in academic research. Python and R are valuable for more advanced roles and are essential if you want to move into data science. **Familiarity
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