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Data Analyst in Flower Mound, TX

Median Salary

$50,495

Above National Avg

Hourly Wage

$24.28

Dollars / Hr

Workforce

N/A

Total Jobs

Growth

+3%

10-Year Outlook

The Data Analyst's Guide to Flower Mound, Texas

Flower Mound isn't the first city that pops to mind when you think of tech hubs, but for data analysts, it’s a sleeper hit. Tucked between Dallas and Fort Worth, this town of 79,292 offers a unique blend of suburban calm and serious career opportunity. I’ve lived in the DFW metro for over a decade, and I’ve watched Flower Mound evolve from a quiet suburb into a legitimate player for data talent. If you’re considering a move here, this guide breaks down the reality—not the marketing fluff.

The Salary Picture: Where Flower Mound Stands

Let's cut to the chase: the numbers are solid. The median salary for a Data Analyst in Flower Mound is $84,185 per year, which breaks down to an hourly rate of $40.47. This sits slightly above the national average of $83,360, a testament to the strength of the DFW job market. While it's not San Francisco money, the cost of living here makes that salary go much further.

The job market is tight and growing. There are currently 158 Data Analyst positions listed in the metro area, and the 10-year job growth projection is a robust 36%. This isn't a boomtown; it's a sustained expansion, driven by the region's corporate headquarters and healthcare systems.

To give you a clearer picture, here’s how salaries typically break down by experience level in the local market. Note that these are approximate ranges based on local job postings and industry reports; your mileage may vary based on industry and specific skills (like proficiency in Python, SQL, or a specific BI tool like Tableau).

Experience Level Typical Years of Experience Salary Range (Flower Mound/DFW Metro) Key Responsibilities
Entry-Level 0-2 years $60,000 - $72,000 Basic reporting, data cleaning, assisting with dashboards, writing simple SQL queries.
Mid-Level 2-5 years $75,000 - $95,000 Independent analysis, building complex models, creating interactive dashboards, leading small projects.
Senior 5-8 years $96,000 - $120,000 Mentoring junior analysts, leading cross-functional projects, advanced statistical modeling, strategic insights.
Expert/Lead 8+ years $125,000+ Team leadership, defining analytics strategy, advanced machine learning, influencing C-suite decisions.

How does this compare to other Texas cities?

  • Dallas: Salaries are slightly higher (median ~$88,000), but the cost of living, especially housing, is significantly steeper. The commute from Flower Mound to downtown Dallas can be brutal (30-60+ minutes in traffic).
  • Fort Worth: Salaries are comparable to Flower Mound, often a bit lower. The pace is different, more traditional. Flower Mound offers a nicer balance if you want access to both job markets.
  • Austin: Tech salaries are higher (median ~$90,000), but the cost of living is outpacing salary growth, and the housing market is intensely competitive. Flower Mound feels more affordable and stable.
  • Plano/Frisco: Direct competitors. Salaries are similar, but Frisco's new construction and Plano's established corporate corridors (like Legacy West) offer more concentrated tech jobs. Flower Mound is quieter and more family-oriented.

Insider Tip: Your highest paying opportunities will be with the major employers listed later in this guide. Don't just look at "Data Analyst" titles. Search for "Business Intelligence Analyst," "Reporting Analyst," "Data Scientist," and "Marketing Analyst" at companies like Texas Health Resources or McKesson.

📊 Compensation Analysis

Flower Mound $50,495
National Average $50,000

📈 Earning Potential

Entry Level $37,871 - $45,446
Mid Level $45,446 - $55,545
Senior Level $55,545 - $68,168
Expert Level $68,168 - $80,792

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 $84,185 salary sounds great, but let's talk about what it means in your bank account. Texas has no state income tax, which is a massive advantage. However, property taxes are high (Denton County averages ~2.1% of assessed value).

Here’s a realistic monthly budget for a single Data Analyst earning the median salary:

Category Estimated Monthly Cost Notes
Gross Monthly Pay $7,015 $84,185 / 12 months
Deductions (Fed Tax, FICA, 401k) ~$1,800 Varies by filing status and 401k contribution.
Net Take-Home Pay ~$5,215 This is your "in-hand" number.
Rent (1BR Average) $1,291 City-wide average. See neighborhood section for details.
Utilities (Electric, Water, Internet) $180 DFW summers mean higher electric bills.
Renters Insurance $15
Car Payment/Gas/Insurance $500 Essential in the suburbs. Public transit is limited.
Groceries & Household $400
Dining/Entertainment $300
Health Insurance (Employer Share) $200 Depends on the plan.
Miscellaneous/Personal Care $200
Total Estimated Expenses $3,086
Monthly Savings/Discretionary ~$2,129

Can you afford to buy a home?
This is the big question. The median home price in Flower Mound is around $450,000. With a 20% down payment ($90,000), a 30-year mortgage at 7% interest would have a monthly payment (principal & interest) of roughly $2,400. Add property taxes ($750/month) and insurance (~$150/month), and your total housing payment approaches $3,300/month.

This would be about 60% of your net take-home pay, which is financially risky and not recommended. To comfortably afford a home in Flower Mound on a single Data Analyst's salary, you'd typically need:

  1. A dual income (partner/spouse).
  2. To be at a Senior level ($100k+).
  3. A significant down payment (30%+).
  4. Or, be willing to buy a condo or townhouse, which are more affordable.

Insider Tip: Many young professionals rent in Flower Mound for 2-3 years, save aggressively, and then either buy a smaller home or move to a slightly more affordable neighboring town like Argyle or Justin, commuting into the area.

💰 Monthly Budget

$3,282
net/mo
Rent/Housing
$1,149
Groceries
$492
Transport
$394
Utilities
$263
Savings/Misc
$985

📋 Snapshot

$50,495
Median
$24.28/hr
Hourly
0
Jobs
+3%
Growth

Where the Jobs Are: Flower Mound's Major Employers

Flower Mound's economy is anchored by healthcare, logistics, and corporate back-office functions. It's not a startup scene; it's a stable, corporate environment. Here’s where you’ll find the most Data Analyst roles:

  1. Texas Health Resources (THR): With Texas Health Presbyterian Hospital Flower Mound and other facilities, THR is a massive employer. They need analysts for patient outcomes, operational efficiency, financial reporting, and supply chain logistics. Hiring Trend: Strong and steady. They are heavily investing in data infrastructure to improve care and reduce costs.
  2. McKesson Corporation: The global healthcare supply chain giant has a major campus in Irving (a 15-20 minute drive). They hire data analysts for everything from pharmaceutical distribution analytics to sales forecasting. Hiring Trend: Consistent. Their business is recession-resistant.
  3. JPMorgan Chase: The bank has a large technology and operations center in nearby Plano (Legacy West area). Roles here are focused on financial risk, fraud detection, and customer analytics. Hiring Trend: High competition, but constant openings. Requires strong technical chops.
  4. Frito-Lay (PepsiCo): Headquartered in nearby Plano, they need analysts for supply chain, sales, and marketing data. Think analyzing snack consumption trends. Hiring Trend: Steady. They value analysts who can translate data into business recommendations.
  5. Flower Mound ISD (FMISD): The school district is one of the largest local employers. They hire data analysts for student performance metrics, budget forecasting, and operational data (busing, facilities). Hiring Trend: Stable, with budget cycles driving hiring.
  6. Medical City Lewisville: A major hospital just south of Flower Mound. Similar to THR, they need analysts for clinical data, patient satisfaction, and financial performance. Hiring Trend: Growing, especially in areas like value-based care analytics.
  7. Local Insurance & Financial Firms: Companies like NTT Data (in Richardson, a reasonable commute) and many smaller insurance firms in the DFW area hire data analysts for actuarial support, claims analysis, and customer segmentation.

Insider Tip: Use LinkedIn's "Jobs" search with filters set to "Flower Mound, TX" and "Plano, TX." Many Flower Mound residents commute to the Legacy West area in Plano, where the job density is highest. The traffic on I-35E and FM 2499 is predictable; a 20-minute commute can easily become 45 minutes at 5 PM.

Getting Licensed in TX

For Data Analysts, the good news is that Texas does not require a state-specific license to practice. There is no equivalent to a CPA for accountants. Your qualifications are your education, experience, and certifications.

However, there are important certifications and credentials that are highly valued and can impact your salary:

  • Google Data Analytics Professional Certificate (Coursera): A great entry-level credential. Cost: ~$49/month. Timeline: 3-6 months.
  • Microsoft Certified: Power BI Data Analyst Associate: Extremely relevant, as many local companies use Microsoft's stack. Exam cost: ~$165. Timeline: 1-3 months of study.
  • Tableau Desktop Specialist/Certified Associate: Another key BI tool. Exam cost: ~$100-$250. Timeline: 1-3 months.
  • SAS Certified Base Programmer: Still relevant in some healthcare and legacy corporate environments. Cost: ~$180. Timeline: 2-4 months.
  • Bachelor's Degree: While not a license, a degree in Statistics, Computer Science, Economics, or a related field is the standard entry requirement. Many local employers (like JPMorgan) filter for this.

Timeline to Get Started:

  • If you have a relevant degree: You can start applying immediately. Polish your resume and portfolio (link to a GitHub or Tableau Public profile).
  • If you're changing careers: Plan for a 6-12 month transition. This includes completing a certification (like Google's or Power BI), building a portfolio with real-world projects (use public datasets from Kaggle or data.gov), and networking.

Insider Tip: Join the "Dallas/Fort Worth Data Science & Analytics" group on LinkedIn. Attend local meetups (often in Dallas or Plano) to connect with hiring managers. Word-of-mouth is powerful in the DFW corporate world.

Best Neighborhoods for Data Analysts

Flower Mound is a large, spread-out town. Your choice of neighborhood affects your commute, lifestyle, and rent. Here’s a breakdown:

Neighborhood Vibe & Commute Avg. 1BR Rent Best For
Central Flower Mound (near FM 3040) The "downtown" feel. Walkable to local shops, parks, and the library. Commute to DFW airport is 15 mins, to Legacy West (Plano) is 20-30 mins. $1,350 - $1,500 Young professionals who want a social scene and easy access to amenities.
Wellington by the Vineyards Upscale, newer apartments and townhomes. Very quiet, near walking trails and the Vineyards Park. Commute is similar to central, but less foot traffic. $1,400 - $1,650 Those seeking a peaceful, modern environment with a bit more space.
Bridlewood / Tour 18 Golf community, more residential. Feels established and settled. Commute to Plano is straightforward via I-35E. $1,200 - $1,400 Professionals who want a suburban, family-like feel without being in a "family-only" area.
Areas near FM 2499 (Lewisville side) More affordable, older stock. Closer to the hustle of Lewisville and the Medical City Lewisville hospital. Commute to Plano is good via 2499 to 121. $1,100 - $1,300 Budget-conscious analysts who don't mind a slightly older apartment and a 5-minute longer commute.

Insider Tip: Traffic patterns matter. If you work in Plano (east), living on the eastern side of Flower Mound (near I-35E) saves you 5-10 minutes. If you work at Texas Health Flower Mound (central), you can live almost anywhere. Use Google Maps' "depart at" feature to test drive commutes during rush hour before signing a lease.

The Long Game: Career Growth

Flower Mound is a great place to build a stable career, but you need to be proactive about advancement.

Specialty Premiums & Advancement Paths:

  • Healthcare Analytics: With major employers like THR and Medical City, specializing in clinical data (using Epic, Cerner) or population health can command a 10-15% salary premium. This path leads to roles like "Director of Health Informatics."
  • Supply Chain & Logistics: Companies like McKesson and Frito-Lay value analysts who understand inventory, forecasting, and distribution networks. This can lead to roles in operations management.
  • Financial Analytics: For those at JPMorgan or similar, specializing in risk, fraud, or quantitative analysis is the fast track. This often requires advanced degrees (MS in Data Science, MBA) and pays at the top of the range.
  • Management Track: The classic path: Data Analyst -> Senior Analyst -> Analytics Manager -> Director of Analytics. In the DFW market, the jump from Senior to Manager is the hardest. It requires demonstrated leadership and business acumen, not just technical skill.

10-Year Outlook (Based on BLS and local trends):
The 36% job growth is real. As data becomes central to every industry, the demand for analysts who can communicate insights to non-technical stakeholders will explode. However, entry-level roles will become more competitive. The key differentiators will be:

  1. Business Acumen: Understanding why you're analyzing the data.
  2. Soft Skills: Storytelling, presenting to executives.
  3. Tool Agnosticism: Being able to learn new tools quickly.

Insider Tip: After 3-5 years, don't be afraid to look outside Flower Mound. The DFW metro is your oyster. A role in Dallas might pay 20% more, but you can still live in Flower Mound and commute. Keep your network active.

The Verdict: Is Flower Mound Right for You?

Pros Cons
Strong, stable job market with major employers. Limited "tech startup" culture and networking events.
Affordable cost of living relative to salary. Car-dependent. Minimal public transit.
Excellent public schools (FMISD). Can feel suburban and sleepy if you're young and single.
Safe, family-friendly environment. Competitive housing market for buyers.
Central DFW location to both major airports and cities. No state income tax is offset by high property taxes.

Final Recommendation:
Flower Mound is an excellent choice for Data Analysts who value stability, a good work-life balance, and family-friendly amenities. It's perfect for mid-career professionals (3-10 years experience) looking to buy a home (with a dual income) or for young analysts who want to build a strong resume at a corporate giant without the crushing cost of Austin or San Francisco.

If your primary goal is to be in the heart of a buzzy tech scene, you might find it limiting. But if you want a high-quality, grounded life and a robust career in data, Flower Mound is one of the best-kept secrets in Texas.

FAQs

Q: Do I need to know someone to get hired in the DFW market?
A: It helps, but it's not mandatory. The market is large enough that a strong application (tailored resume, solid portfolio, good interview performance) will get you noticed. However, networking is critical for moving from mid-level to senior roles.

Q: Is the commute from Flower Mound to Dallas or Fort Worth manageable?
A: It's manageable but not pleasant. A commute to downtown Dallas can be 35-60+ minutes each way. To Fort Worth, it's often 45-70 minutes. Most Data Analysts in Flower Mound work in the "North Dallas Corridor" (Plano, Richardson, Frisco), where commutes are 15-30 minutes.

Q: What's the tech stack I should focus on for local jobs?
A: SQL is non-negotiable. Python or R is a major plus. For visualization, Power BI and Tableau are the top two. Many healthcare jobs use SAS, while financial services lean toward Python/SQL. Check local job postings weekly to see trends.

Q: How is the work-life balance in Data Analyst roles here?
A

Explore More in Flower Mound

Dive deeper into the local economy and lifestyle.

Data Sources: Bureau of Labor Statistics (OEWS May 2024), TX State Board, Bureau of Economic Analysis (RPP 2024), Redfin Market Data
Last updated: January 28, 2026 | Data refresh frequency: Monthly