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Data Analyst Jobs in Portland, TX (NOW HIRING)

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Data Analyst information

See Portland, TX salary details

$27.5K

$66.8K

$109.9K

How much do data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for data analyst in Portland, TX is $66,757.00, according to ZipRecruiter salary data. Most workers in this role earn between $50,500.00 and $78,400.00 per year, depending on experience, location, and employer.

What does a data analyst do?

A Data Analyst is responsible for collecting, processing, and analyzing data to help organizations make informed business decisions. They use statistical tools and software to interpret data sets, identify trends, and create visual reports. Data Analysts often collaborate with other departments to provide actionable insights and support strategic planning. Their work helps organizations optimize operations, track performance, and solve business problems using data-driven approaches.

What are the key skills and qualifications needed to thrive as a data analyst, and why are they important?

To thrive as a Data Analyst, you need strong analytical skills, proficiency in statistics, and a relevant degree such as in mathematics, statistics, or computer science. Familiarity with data analysis tools like SQL, Excel, Python or R, and experience with visualization platforms such as Tableau or Power BI are typically required. Strong problem-solving abilities, attention to detail, and effective communication skills help analysts interpret data insights and present findings clearly to stakeholders. These skills are crucial for transforming raw data into actionable business insights that drive informed decision-making.

What are some common challenges data analysts face when working with large datasets, and how are they typically addressed?

Data Analysts often encounter challenges such as data quality issues, missing or inconsistent values, and slow processing times when handling large datasets. These challenges are typically addressed by implementing data cleaning routines, using advanced data management tools, and leveraging programming languages like Python or R for efficient data manipulation. Collaboration with database administrators and IT teams is also common to ensure data integrity and optimize data storage solutions. Staying updated with best practices in data wrangling and visualization helps Data Analysts deliver accurate and actionable insights.

What is the difference between Data Analyst vs Data Scientist?

AspectData AnalystData Scientist
Required CredentialsBachelor's degree in statistics, mathematics, or related field; often certifications in data analysis toolsBachelor's or master's in computer science, statistics, or related; often advanced certifications or degrees
Work EnvironmentBusiness settings, focusing on data reporting and visualizationResearch and development environments, focusing on predictive modeling and complex algorithms
Employer & Industry UsageRetail, finance, healthcare, and marketing companiesTech firms, research institutions, and large enterprises

While both roles analyze data, Data Analysts primarily focus on interpreting existing data to generate reports and insights, whereas Data Scientists develop predictive models and advanced algorithms to forecast trends and solve complex problems.

Do data analysts get paid well?

Data analysts typically earn competitive salaries that vary by experience, location, and industry. Entry-level positions may start lower, but with skills in tools like Excel, SQL, and data visualization, salaries tend to increase with expertise and certifications. Overall, data analysis is considered a well-paying field with growth potential.

Is it hard to get a data analyst job?

Securing a data analyst position can be competitive, as it often requires strong skills in data manipulation, statistical analysis, and proficiency with tools like Excel, SQL, or Python. Candidates with relevant education, certifications, and experience tend to have better chances, but persistence and continuous skill development are important.

What work does a data analyst do?

A data analyst collects, processes, and analyzes large datasets to identify trends, patterns, and insights that support business decision-making. They use tools like Excel, SQL, and data visualization software to interpret data and communicate findings to stakeholders. Strong analytical skills and attention to detail are essential for this role.
More about Data Analyst jobs

What are the most commonly searched types of Data Analyst jobs in Portland, TX?

The most popular types of Data Analyst jobs in Portland, TX are:

What job categories do people searching Data Analyst jobs in Portland, TX look for?

The top searched job categories for Data Analyst jobs in Portland, TX are:

What cities near Portland, TX are hiring for Data Analyst jobs?

Cities near Portland, TX with the most Data Analyst job openings:

Data Analyst jobs near you
Infographic showing various Data Analyst job openings in Portland, TX as of August 2026, with employment types broken down into 1% As Needed, 85% Full Time, 11% Part Time, and 3% Contract. Highlights an 83% Physical, 4% Hybrid, and 13% Remote job distribution, with an average salary of $66,757 per year, or $32.1 per hour.

Business Intelligence Developer

Driscoll Children's Hospital

Corpus Christi, TX • On-site

Full-time

Posted 16 days ago

Driscoll Children's Hospital rating

8.0

Company rating: 8.0 out of 10

Based on 43 frontline employees who took The Breakroom Quiz

136th of 1,064 rated hospitals

Job description

Where compassion meets innovation and technology and our employees are family.
Thank you for your interest in joining our team! Please review the job information below.
GENERAL PURPOSE OF JOB
The Business Intelligence Developer (BID) develop effective ways for stakeholders to view, use, and understand large complex sets of data. Designs, develops, and enhances reports, dashboards, and visualizations for internal and/or external customers. The objectives at this level are complex report writing, query generation, data validation, data visualization and end user education.
Incumbents report to the appropriate Business Intelligence Manager or Data and Analytics Manager and may be assigned a focus area: Hospital/Clinics (with focus on Financial, Operational and Clinical Areas) or Health Plan within the Driscoll Health System (DHS).
ESSENTIAL DUTIES AND RESPONSIBILITIES -
1. Follows the Driscoll Way with communication, end user engagement, and customer service at all times.
2. Follows all guidelines for PHI and data management.
3. Develops complex SQL queries and has a strong understanding of data models within their assigned focus area.
4. Advanced skills in data visualization tools, maintains data visualization tools, ability to generate proper visualizations/Metrics for end user needs. Tools include Qlik, PowerBI, PowerQuery, SAS Software, and Epic - SlicerDicer.
5. Engagement with end users: ownership of reporting initiatives, working with business to understand report needs, build report specifications and designing reporting solutions.
6. Minimal errors in report/query development by performing basic query tuning, proper data validation steps, reviewing or analyzing data prior to sending to requesters.
7. Works well in team environment and assists colleagues with peer review and guidance on report development, or query generation.
8. Can build complex reports in SSRS, Crystal, Epic, Workday, or other DHS software tools.
9. This position has the opportunity to advance into a Lead Business Intelligence Developer / Architect or Lead Healthcare Data Analyst.
10. Performs other related work as required.
EDUCATION AND/OR EXPERIENCE:
• Bachelor's Degree in the fields such as Finance, Statistics, Data Mining and Analytics, Clinical Analytics, or Health Care Administration with Bachelor's degree or equivalent experience preferred.
• 2 - 3 years of reporting and analytics experience or preferred degree with at least 2 years of business experience (nursing, epidemiology, health plan, etc.)

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