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

Senior Data Analyst

Irving, TX · On-site

$79K - $100K/yr

Senior Data Analyst Job Requisition: 6630.7570.5 Job Location: 6021 Connection Drive, Irving, TX ... Python. 4. Manage administrative activities across Tableau Server infrastructure. 5. Import ...

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Data Analyst Senior

Dallas, TX · On-site +1

$85K - $107K/yr

CLA is looking to hire a Data Analyst Senior; you will make use of the Microsoft Power Platform, or a scripting language like R or Python. The Data Analyst Senior cleans up data for analysis and/or ...

Sr Business Data Analyst

Northlake, TX · On-site

$70K - $115K/yr

Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with modern data analytics trends and apply best practices to improve processes * Support site startups as ...

Senior Data Analyst

Irving, TX · Remote

$79K - $100K/yr

Senior Data Analyst Job Requisition: 6630.7570.5 Job Location: 6021 Connection Drive, Irving, TX ... Python. 4. Manage administrative activities across Tableau Server infrastructure. 5. Import ...

C++, Python, SQL). Desired skills - Background in STEM related field, Operations Research, Statistics, Data Analytics, Applied Mathematics, Operations Management, Decision Sciences, Data Science ...

Digital Data Analyst

Plano, TX · On-site

$99K - $115K/yr

We are in search of an experienced data & analytics mind to help drive Pizza Hut's digital ... Strong experience with programming language such as SQL, Python, R, etc. to perform statistical ...

Senior Data Analyst

Westlake, TX · On-site

$82K - $104K/yr

You have solid data analysis and data profiling skills with a solid understanding of SQL or Python. You can independently wrangle our datasets to obtain data insights and translate those into ...

The Commercial Data Analyst will be responsible for analyzing sales, revenue, and market data to ... Experience with SQL and other data querying languages preferred; knowledge of Python is a plus.

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or similar distributed computing/cloud platform. * High proficiency in reporting tools (e.g., PowerBI)

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or similar distributed computing/cloud platform. * High proficiency in reporting tools (e.g., PowerBI)

Digital Data Analyst

Plano, TX · On-site

$99K - $115K/yr

We are in search of an experienced data & analytics mind to help drive Pizza Hut's digital ... Strong experience with programming language such as SQL, Python, R, etc. to perform statistical ...

Senior Insurance Data Analyst

Irving, TX · On-site

$82K - $104K/yr

Leverage Python, SQL, and statistical analysis to identify key data patterns and multivariate correlations. * Conduct exploratory data analysis and ensure data integrity across structured and ...

Senior Data Analyst

Dallas, TX

$85K - $107K/yr

You write Python, SQL, and Spark to manipulate, analyze, and automate. You\'re not just a GUI modeler. You write code to solve data problems. * You define and enforce data modeling standards. You ...

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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 21, 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.
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:
Data Analyst - Reltio MDM

Data Analyst - Reltio MDM

NAVA Software Solutions

Dallas, TX • On-site

Full-time

Posted 4 days ago


Job description

NAVA Software solutions is looking for a Data Analyst - Reltio MDM
Details:
Reltio MDM Data Analyst
Location: Dallas, TX - Hybrid
Duration: 12 months
Job Description
Seeking a Data Analyst to significantly contribute to identifying best-fit for one or more projects. You will collaborate with some of the best talent in the industry to create and implement innovative high quality solutions focused on our customers' business needs. You are a problem solver who is highly motivated by designing solutions that amaze customers.
Key Responsibilities:
  • Works independently within Data and Analytics with limited design help from manager or senior associates
  • Advanced proficiency in SQL for querying, data manipulation, and optimization.
  • Ability to write complex SQL queries, including subqueries, joins, window functions, and CTEs.
  • Leverage coding best practices and advanced techniques to ensure efficient execution of code against large datasets, ensuring code is repeatable and scalable
  • Run, create and optimize standard processes to ensure metrics, reports and insights are delivered consistently to stakeholders with minimal manual intervention
  • Leverage knowledge of data structures to prepare data for ingestion efforts, analysis, assembling data from disparate data sources for the creation of insights; accurately integrate new and complex data sources
  • Review output of code for anomalies and perform analysis to determine cause, and work with Data, Analytics, Product and Technology counterparts to implement corrective measures
  • Understands the concepts of quantitative and qualitative data and how to relate them to the customer to show value of analysis.

What experience you'll need:
  • Bachelors in Computer science degree in a STEM major or equivalent discipline
  • 6-8 years of experience in a related analyst role
  • Technical capabilities including SQL, BigQuery, R, Python, MS Excel / Google Sheets, Tableau, Looker
  • Experience working as a team and collaborating with others on producing descriptive and diagnostic analysis

NAVA Software Solutions logo

About NAVA Software Solutions

Sourced by ZipRecruiter

NAVA is a strategic partner for companies seeking to develop or customize software and products. Our team of experts leverages cutting-edge technology and deep industry knowledge to provide customized solutions that drive business success. Whether you're looking to improve your operations, increase efficiency, or bring a new product to market, NAVA has the expertise and resources to help you achieve your goals. Trust us to be your partner in software and product development.

Industry

It services

Company size

51 - 200 Employees

Headquarters location

Rocky Hill, CT, US

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