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Data Analyst Python Sql Jobs in Killeen, TX (NOW HIRING)

First National Bank Texas

Data Analyst

Killeen, TX · On-site

Maintain datasets using Oracle/SQL * Integrate automation, ETL/ELT of data, and perform exception ... Perform research and analysis on assigned areas as directed * Regular and predictable attendance ...

New

First National Bank Texas

Data Analyst

Killeen, TX

Use multiple vendor programs to query and extract data for analysis Maintain datasets using Oracle/SQL Integrate automation, ETL/ELT of data, and perform exception handling Create, maintain, and ...

New

McLane Company

Data Scientist - MBIS

Temple, TX · Hybrid

Bachelor's degree in data science, data analytics, or related field; or comparable job experience. * Two years' experience in predictive modeling and machine learning. * Proficiency in Python and SQL.

McLane Company

Sr. Data Engineer

Temple, TX · Hybrid

$92K - $111K/yr

This role is ideal for a detail oriented, analytical professional with deep SQL expertise and experience supporting data warehouses, analytics platforms, and batch processing environments. This is a ...

Williamson County

IT Analyst III: Security

Georgetown, TX · On-site

$93K - $101K/yr

... SQL reports for judicial data Develops analytical methods to enable data-driven decision making ... using FME/ETL, Python, HTML to automate processes Collaborates with Information Technology ...

SpaceX

Test Engineer (Falcon Test)

Mcgregor, TX · On-site

Experience with code based data analytics (Python, R, MATLAB, NI LabVIEW) to solve real world problems * Demonstrated experience of effective root cause and failure analysis * Experience writing and ...

ZT Systems

Staff Industrial Engineer

Georgetown, TX · On-site

$65K - $87K/yr

Interface with multiple departments to conduct analyses that drive valuable business insights, using tools such as SQL and python to access and manipulate multivariate data. * Lead efforts in ...

ZT Systems

Staff Industrial Engineer

Georgetown, TX · On-site

$65K - $87K/yr

Interface with multiple departments to conduct analyses that drive valuable business insights, using tools such as SQL and python to access and manipulate multivariate data. * Lead efforts in ...

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Data Analyst Python Sql information

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$30.4K

$73.9K

$121.6K

How much do data analyst python sql jobs pay per year?

As of Jul 26, 2026, the average yearly pay for data analyst python sql in Killeen, TX is $73,874.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,900.00 and $86,700.00 per year, depending on experience, location, and employer.

Is Python and SQL enough for a data analyst?

For a data analyst, proficiency in Python and SQL is fundamental for data manipulation, analysis, and querying databases. However, additional skills such as data visualization, statistical knowledge, and familiarity with tools like Excel or BI platforms are often required to perform comprehensive analysis and communicate insights effectively.

What jobs can you get with SQL and Python?

Data analysts, data scientists, and business intelligence analysts commonly use SQL and Python to extract, analyze, and visualize data. These skills are essential for roles involving data management, reporting, and automation, often requiring knowledge of databases, statistical analysis, and data visualization tools.

How does a Data Analyst using Python and SQL typically collaborate with other departments within an organization?

Data Analysts proficient in Python and SQL frequently work alongside teams such as marketing, product development, finance, and operations. They gather requirements from stakeholders, translate business questions into data queries, and present actionable insights through dashboards or reports. Regular meetings and clear communication are essential to ensure that data solutions align with business goals, and Data Analysts often act as a bridge between technical data teams and non-technical decision makers. This collaborative environment helps drive data-informed decisions across the organization.

What are Data Analyst Python SQL jobs?

Data Analyst Python SQL jobs involve analyzing and interpreting data to help organizations make informed business decisions. These professionals use Python for data manipulation, automation, and visualization, and SQL for querying and managing data stored in relational databases. Typical tasks include data cleaning, building reports, extracting insights, and creating dashboards. Data Analysts often collaborate with other teams to understand data requirements and communicate findings through presentations or visualizations. Proficiency in both Python and SQL is essential for efficiently handling large data sets and solving complex analytical problems.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst; many professionals successfully transition into the field at various ages. Skills in Python, SQL, and data visualization tools are more important, and continuous learning can help overcome any age-related concerns. Employers value experience and analytical ability regardless of age.

What are the key skills and qualifications needed to thrive as a Data Analyst with Python and SQL, and why are they important?

To thrive as a Data Analyst specializing in Python and SQL, you need strong analytical skills, statistical knowledge, and proficiency in data manipulation, typically supported by a relevant degree or certification. Expertise in Python for data analysis, SQL for database querying, and experience with visualization tools like Tableau or Power BI are commonly expected. Attention to detail, problem-solving abilities, and effective communication are crucial soft skills for interpreting data and presenting actionable insights. These skills help ensure accurate analysis, impactful reporting, and informed decision-making within organizations.

Can Python and SQL work together?

Data analysts often use Python and SQL together to efficiently extract, manipulate, and analyze data. Python libraries like pandas and SQL connectors enable seamless integration, allowing analysts to automate workflows and perform complex data processing tasks within a single environment.

What is the difference between Data Analyst Python Sql vs Data Scientist?

AspectData Analyst Python SqlData Scientist
Required SkillsExcel, SQL, Python basics, data visualizationAdvanced Python, machine learning, statistical modeling
Work EnvironmentBusiness intelligence, reporting, dashboardsPredictive modeling, research, complex data analysis
Industry UsageFinance, marketing, retail, healthcareTech, finance, research institutions, startups

While Data Analysts with Python and SQL focus on interpreting data, creating reports, and visualizations, Data Scientists build predictive models and perform advanced statistical analysis. Both roles require Python and SQL skills, but Data Scientists typically have a stronger background in statistics and machine learning, making their work more research-oriented.

What job categories do people searching Data Analyst Python Sql jobs in Killeen, TX look for? The top searched job categories for Data Analyst Python Sql jobs in Killeen, TX are:
What cities near Killeen, TX are hiring for Data Analyst Python Sql jobs? Cities near Killeen, TX with the most Data Analyst Python Sql job openings:
Data Analyst Python Sql jobs near you
Data Analyst

Data Analyst

First National Bank Texas

Killeen, TX • On-site

Full-time

Posted 2 days ago

Job description

* Use multiple vendor programs to query and extract data for analysis
* Maintain datasets using Oracle/SQL
* Integrate automation, ETL/ELT of data, and perform exception handling
* Create, maintain, and distribute assigned department reporting
* Assist in reconciliation of data loads into relational and dimensional databases
* Review department reports for accuracy prior to distribution
* Perform research and analysis on assigned areas as directed
* Regular and predictable attendance and punctuality
* Other duties as assigned
Physical Requirements:
* Must be able to remain in a sitting stationary position for extended periods of time
* Constantly operate a computer and other office machinery
* Ability to lift up to 25 pounds
FNBT is an equal opportunity employer.
* At least 18 years of age
* High School Diploma or equivalent
* Bachelor's Degree in Information Technology, Accounting, or Finance preferred
* Proficient in Microsoft Office with a minimum of one year of analytical experience
* Must be innovative, analytical, and adaptive to working with various applications
* Understand database structures, query languages, and reporting metrics
* Must be able to get along with co-workers and work effectively in a team environment
* Must successfully pass a background investigation according to company policy

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