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Python Data Analyst Jobs in Coppell, TX (NOW HIRING)

Diverse Lynx

Pyspark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ... in Python (data processing, performance tuning, modular coding) • Solid understanding of ETL ...

Diverse Lynx

PySpark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... Data Analysts, Architects, and DevOps teams • Support CI/CD implementation and deployment ... API) • Advanced Python programming skills with focus on data processing and performance ...

Diverse Lynx

Pyspark/Python Data Engineer

Irving, TX · On-site

$106K - $127K/yr

... teams (Data Analysts, Architects, DevOps) • Contribute to CI/CD pipelines and deployment ... in Python (data processing, performance tuning, modular coding) • Solid understanding of ETL ...

LTM

Senior Data Engineer

Irving, TX

$101K - $138K/yr

Develop and maintain robust data pipelines using Apache Spark and Python * Collaborate with data scientists and analysts to optimize data workflows * Ensure data quality and integrity across large ...

Samprasoft

Data Engineer - AWS, Python, SQL

Roanoke, TX

$109K - $132K/yr

... analytics space. 1-2 years of experience in developing data applications in Cloud (AWS). Extensive experience in Object Oriented Programming (Java, Scala, Python), data movement technologies (ETL/ELT ...

Login Consulting Services, Inc.

Data Analyst

Plano, TX · On-site

An International company, located in Plano, TX, is seeking a Data Analyst for a 12+ month contract ... High proficiency and professional experience coding in SQL, Python and/or R (tested during ...

Loopback Analytics

Data Analyst

Dallas, TX · Remote

Python, SQL, PowerBI, Tableau, etc.) in a commercial capacity * Experience working with extremely ... Implementing and designing data curation, and data analysis frameworks * Experience working across ...

New

Hersheys

Data Analyst

Dallas, TX · On-site

Write and optimize SQL and Python queries in Databricks to extract, transform, and analyze large-scale product and business data sets for stakeholder consumption. Power BI Dashboard Development:

Loopback Analytics

RWD Data Analyst

Dallas, TX · On-site

Data Analysis & Solution Development * Analyze Loopbacks large-scale healthcare data warehouse ... Exposure to SQL and at least one scripting/statistical language (Python, R). * Exceptional problem ...

Cambium Learning Group

Data Analyst

Dallas, TX · On-site +1

The Data Analyst (SQL) will be primarily responsible for the following: * Integrate data from ... language (Python, R, or other). * Must be detail-oriented with excellent analytical and ...

Inficare Technologies

Data Analyst

Richardson, TX · On-site

Data Analyst Location : Richardson, TX (Hybrid) Key Skills: * Must be proficient in using AI ... Proficiency in Python or R for analysis and automation is a plus. • Strong instincts for ...

Loopback LLC

Data Analyst

Dallas, TX · On-site

Python, SQL, PowerBI, Tableau, etc.) in a commercial capacity * Experience working with extremely ... Implementing and designing data curation, and data analysis frameworks * Experience working across ...

New

LivaNova

Data Analyst

Dallas, TX · On-site

$70K - $100K/yr

The Data Analyst will provide data analysis, reporting, and visualization support to the Statistics ... Strong programming skills in R or Python, with experience in both. Advantageous to be familiar with ...

HumCap, Inc.

Data Analyst

Dallas, TX

Exposure to Python for data transformation, automation, or scripting * Understanding of revenue cycle, regulatory reporting, or compliance analytics What You'll Work With * Data Warehouse: Snowflake ...

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All JobsPython Data Analyst JobsPython Data Analyst Jobs in Coppell, TX

Python Data Analyst information

See Coppell, TX salary details

$31.4K

$76.3K

$125.5K

How much do python data analyst jobs pay per year?

As of Jun 20, 2026, the average yearly pay for python data analyst in Coppell, TX is $76,291.00, according to ZipRecruiter salary data. Most workers in this role earn between $57,700.00 and $89,500.00 per year, depending on experience, location, and employer.

What does a Python Data Analyst do?

A Python Data Analyst leverages the Python programming language to collect, process, and analyze large sets of data. They use tools and libraries like Pandas, NumPy, and Matplotlib to clean data, perform statistical analysis, and create visualizations that help organizations make data-driven decisions. Their role often involves extracting insights from complex datasets, automating data workflows, and communicating findings to stakeholders through reports or dashboards. Python Data Analysts play a crucial part in turning raw data into actionable business intelligence.

How do Python Data Analysts typically collaborate with other departments within an organization?

Python Data Analysts often work closely with teams such as marketing, finance, and product development to provide data-driven insights that inform business decisions. They regularly participate in cross-functional meetings to understand departmental objectives, gather requirements for data analysis, and present their findings in an accessible manner. Effective communication and the ability to translate technical results into actionable recommendations are essential, as analysts often act as a bridge between technical data and non-technical stakeholders.

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

AspectPython Data AnalystData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentBusiness analytics, reporting, data cleaningAdvanced modeling, predictive analytics, research
Industry UsageFinance, marketing, healthcare, retailTech, finance, research, AI development

While both roles require Python and data analysis skills, Data Scientists typically engage in more complex modeling and machine learning, whereas Python Data Analysts focus on data cleaning, visualization, and reporting to support business decisions.

What Does a Python Data Analyst Do?

As a Python data analyst, you use the Python programming language to develop tools for data mining, analysis, and data visualization. You typically develop a script to meet the specific data needs of your client or employer. Then, you test your code and perform debugging duties before deploying it in a live environment. Some data analysts also have algorithm creation responsibilities. In this case, after creating and testing an algorithm, you use Python with your algorithm to interpret data. You also develop reports to show to your clients or employers, and you may code a web app or interface that clients can use to visualize data sets.

Are Python coders still in demand?

Python data analysts are currently in high demand due to the language's versatility in data analysis, machine learning, and automation. Skills in libraries like Pandas, NumPy, and experience with data visualization tools increase employability across various industries.

Is 40 too old to become a data analyst?

Age is not a barrier to becoming a data analyst. Many professionals successfully transition into data analysis at various ages by acquiring skills in programming languages like Python or SQL, and gaining experience with data visualization tools. Employers value skills and experience over age, and continuous learning can help you stay competitive in the field.

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

To thrive as a Python Data Analyst, you need strong analytical skills, a solid grasp of statistics, and proficiency in Python programming, often supported by a degree in data science, mathematics, or a related field. Familiarity with data analysis libraries like pandas and NumPy, visualization tools such as Matplotlib or Seaborn, and experience with data querying languages like SQL are typically required. Attention to detail, critical thinking, and effective communication help you derive insights and present findings clearly to stakeholders. These skills and qualities are vital for transforming raw data into actionable business intelligence and supporting data-driven decision-making.

Is Python useful for data analysts?

Python is highly useful for data analysts as it offers powerful libraries like Pandas, NumPy, and Matplotlib for data manipulation, analysis, and visualization. It is widely used in the industry for automating tasks, building data pipelines, and performing statistical analysis, making it a valuable skill for the role.

Will AI replace data analysts?

AI is transforming the role of data analysts by automating routine tasks such as data cleaning and basic analysis, but it is unlikely to fully replace them. Data analysts are needed to interpret complex insights, make strategic decisions, and develop models that require domain expertise and critical thinking. Skills in programming, data visualization, and understanding AI tools remain valuable in this evolving field.
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What job categories do people searching Python Data Analyst jobs in Coppell, TX look for? The top searched job categories for Python Data Analyst jobs in Coppell, TX are:
What cities near Coppell, TX are hiring for Python Data Analyst jobs? Cities near Coppell, TX with the most Python Data Analyst job openings:
Python Data Analyst jobs near you
Pyspark/Python Data Engineer

Pyspark/Python Data Engineer

Diverse Lynx

Irving, TX • On-site

$106K - $127K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

Job Summary:
Diverse Lynx is a company that focuses on providing innovative solutions in the field of data engineering. They are seeking a Pyspark/Python Data Engineer to design, develop, and maintain ETL/ELT pipelines, ensuring data quality and performance across data workloads.
Responsibilities:
• Design, develop, and maintain ETL/ELT pipelines using PySpark
• Write optimized and scalable PySpark transformations using DataFrames and Spark SQL
• Develop reusable and efficient Python-based data processing components
• Ensure data quality, integrity, and performance across pipelines
• Perform debugging, performance tuning, and optimization of PySpark jobs
• Collaborate with cross-functional teams (Data Analysts, Architects, DevOps)
• Contribute to CI/CD pipelines and deployment workflows for data applications
• Monitor and troubleshoot data workloads in production environments
Qualifications:
Required:
• Strong hands-on experience in PySpark (Spark SQL, DataFrame API)
• Advanced proficiency in Python (data processing, performance tuning, modular coding)
• Solid understanding of ETL design patterns and data pipeline architecture
• Good working knowledge of SQL for data transformation and analysis
• Experience with data processing in distributed environments
• 3–8 years of experience in Data Engineering / PySpark development
• Proven hands-on project experience in PySpark + Python
Preferred:
• Experience with cloud platforms (AWS preferred – S3, Glue, EMR or equivalent services)
• Familiarity with workflow orchestration tools such as Airflow or similar schedulers
• Exposure to data warehousing concepts (e.g., Snowflake or similar platforms)
• Knowledge of code versioning (Git) and CI/CD practices
Company:
Diverse Lynx is a WBENC- and NMSDC-certified partner, helping organizations turn diversity goals into measurable impact through staffing and contingent workforce solutions. Founded in 2002, the company is headquartered in Princeton, New Jersey, US, , with a team of 1001-5000 employees. The company is currently Late Stage.
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About Diverse Lynx

Sourced by ZipRecruiter

Diverse Lynx, based in Princeton, NJ, US, is a reputable company in the Information Technology sector. The firm, as reflected through its website diverselynx.com, specializes in delivering comprehensive IT solutions. These solutions range from IT consulting to robust digital transformation strategies, IT staffing, and full-time placements services. The company was established in 2008, and it prides itself on providing simplified, efficient technology solutions designed to meet the unique needs of each client.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Princeton, NJ, US

Year founded

2002

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