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Senior Python Data Analysis Jobs in McKinney, TX

Service Experts LLC

Sr. Data Analyst

Richardson, TX · On-site

$110 - $140/hr

## Sr. Data AnalystApplylocations: Richardson, Texastime type: Full timeposted on: Posted 30+ Days ... Expert proficiency in Python for data analysis and modeling* Strong experience with Databricks or ...

Cliftonlarsonallen

Data Analyst Senior

Dallas, TX · On-site +1

$107K - $155K/yr

... Python. The Data Analyst Senior cleans up data for analysis and/or visual display in a report or ... Data Analysis: Participate in the collection and analysis of data using a variety of data tools.

Service Experts

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics ... Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or ...

Service Experts

Sr. Data Analyst

Richardson, TX · On-site

$78K - $98K/yr

We are seeking a highly skilled Senior Data Analyst with 4+ years of professional analytics ... Expert proficiency in Python for data analysis and modeling * Strong experience with Databricks or ...

DPDHL

Sr Business Data Analyst

Northlake, TX

$70K - $115K/yr

The Sr Business Data Analyst role has a national salary range of $70,000 - $115,000. For roles ... Apply Python, R, or other analytics tools to enhance reporting and automation * Stay current with ...

Trinity Industries

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production ... Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub ...

TrinityRail

Data Analytics Intern

Dallas, TX · On-site

The role offers hands-on mentorship from senior analytics professionals, exposure to production ... Python, JavaScript, YAML) using an IDE (VS Code, JetBrains, etc.) with AI-assisted coding (GitHub ...

Shield AI

Staff Engineer, Data Analysis (R5290)

Dallas, TX · On-site

$150K - $220K/yr

Build automated Python workflows that make high-value metrics easily accessible to engineering ... Mentor engineers on effective data analysis practices and raise the quality bar for data-driven ...

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Senior Python Data Analysis information

See McKinney, TX salary details

$51K

$131.8K

$181K

How much do senior python data analysis jobs pay per year?

As of Aug 22, 2026, the average yearly pay for senior python data analysis in McKinney, TX is $131,759.00, according to ZipRecruiter salary data. Most workers in this role earn between $112,800.00 and $151,700.00 per year, depending on experience, location, and employer.

What is a senior Python data analyst?

A Senior Python Data Analyst is an experienced professional who uses Python programming to collect, process, and analyze large sets of data. They are responsible for extracting meaningful insights from data to support business decisions, often using libraries like pandas, NumPy, and matplotlib. In addition to technical skills, they also apply statistical analysis and data visualization techniques, and frequently mentor junior analysts or collaborate with data scientists and engineers. Their role may also involve developing automated data pipelines and ensuring data quality across projects.

What are the key skills and qualifications needed to thrive as a senior Python data analyst?

To thrive as a Senior Python Data Analyst, you need an in-depth understanding of data analysis, statistical modeling, and advanced Python programming, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (like pandas, NumPy, and SciPy), visualization tools (such as Matplotlib and Seaborn), and experience with SQL databases are essential, and certifications like Microsoft Certified: Data Analyst Associate can be beneficial. Strong problem-solving abilities, effective communication, and the capacity to distill complex data insights for stakeholders are critical soft skills. These competencies enable you to extract actionable insights from large datasets, drive data-informed decision-making, and collaborate effectively across teams.

What are some common challenges senior Python data analysts face when working with large datasets, and how can they overcome them?

Senior Python Data Analysts often encounter difficulties such as slow processing speeds, memory limitations, and data quality issues when handling large datasets. To overcome these challenges, it's essential to leverage efficient libraries like pandas and Dask, utilize optimized data formats (such as Parquet), and implement batch processing or cloud-based solutions. Collaborating closely with data engineers and IT teams also helps ensure robust data pipelines and infrastructure. Regular code optimization and staying updated on best practices can further enhance performance when working at scale.

What is the difference between Senior Python Data Analysis vs Data Scientist?

AspectSenior Python Data AnalysisData Scientist
Required SkillsPython, SQL, data visualization, statistical analysisPython, R, machine learning, statistical modeling
Work EnvironmentData analysis teams, business unitsResearch, product development, analytics teams
Industry UsageBusiness intelligence, finance, marketingTech, healthcare, finance, research
CertificationsPython certifications, data analysis coursesData science certifications, machine learning courses

While both roles involve Python and data handling, Senior Python Data Analysts focus on interpreting data and creating reports for business decisions, whereas Data Scientists develop predictive models and advanced algorithms to extract deeper insights. The roles often overlap, but Data Scientists typically require broader skills in machine learning and statistical modeling.

What are popular job titles related to Senior Python Data Analysis jobs in McKinney, TX?

For Senior Python Data Analysis jobs in McKinney, TX, the most frequently searched job titles are:

What job categories do people searching Senior Python Data Analysis jobs in McKinney, TX look for?

The top searched job categories for Senior Python Data Analysis jobs in McKinney, TX are:

What cities near McKinney, TX are hiring for Senior Python Data Analysis jobs?

Cities near McKinney, TX with the most Senior Python Data Analysis job openings:

Senior Python Data Analysis jobs near you
Infographic showing various Senior Python Data Analysis job openings in McKinney, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $131,759 per year, or $63.3 per hour.

W2 Sr. Data Analyst & BI Developer - Power BI / Databricks / Python

Cliff Services Inc

Frisco, TX • On-site

$50 - $55/hr

Contractor

Re-posted 10 days ago

Job description

Sr. Data Analyst / BI Developer – SQL / Python / Databricks / Power BI
FIRST PREFERNECE LOCALS
Location: Frisco, TX (Hybrid)
Interview: In-Person (Code Test Required)
Client Domain: Global Financial Technology & Payments Leader (FinTech)
Experience: 6+ Years
Visa: All Visa Types Welcome
 
ABOUT THE CLIENT
Our client is a global leader in financial technology and payments, moving money and information in ways that power the world’s financial ecosystem. They connect financial institutions, corporations, merchants, and consumers millions of times a day — quickly, reliably, and securely.  The Frisco, TX office is a key technology and analytics hub supporting Banking Solutions, Client Experience, and Enterprise Data & Analytics functions across North America.
ABOUT THE ROLE
This position supports the Banking Solutions Client Experience Data & Analytics team, covering key initiatives including Critical Implementations — Demand, Capacity and Utilization reporting and dashboards, Master AI dashboards, Operations Support Trends and Ticket Resolution reporting, and Data & Analytics backlog and support requests for senior leadership.  The ideal candidate combines strong analytical thinking, BI development expertise, and hands-on data engineering skills with a fintech or financial services background. A coding test will be administered as part of the in-person interview process.

KEY RESPONSIBILITIES
      •     Interact with stakeholders and users to define business requirements and necessary system modifications and convert business requirements into executable code solutions 
      •     Design, implement, and maintain Power BI reports and dashboards and develop reports using Power BI Data Analysis Expressions (DAX), SQL, and data lakes 
      •     Write advanced DAX measures, calculated columns, complex KPIs, and row-level security rules within Power BI semantic models
      •     Build, transform, and analyze large-scale datasets in Databricks using PySpark and Python for data exploration, cleansing, and pipeline development
      •     Develop Python scripts and notebooks in Databricks for data automation, transformation, statistical analysis, and ad-hoc analytics
      •     Develop, maintain, and enhance Power BI reports and dashboards to provide actionable insights that drive business outcomes and improve operational efficiency 
      •     Partner with stakeholders to surface trends, enable data-driven decisions, and scale reporting solutions across the organization 
      •     Write complex SQL queries for data extraction, joins, window functions, and query optimization across large enterprise datasets 
      •     Design and maintain dimensional data models, star schemas, and BI semantic layers to support enterprise reporting and self-service analytics
      •     Monitor pipeline and dashboard health, troubleshoot data issues, and implement data quality checks and validation rules
      •     Collaborate with data engineers, platform architects, and business stakeholders to ensure accurate, governed, and timely data delivery
      •     Automate recurring reports and analytics workflows to reduce manual effort and increase self-service capability across teams
      •     Evaluate and identify new technologies for implementation and write well-designed, testable, and efficient code ensuring designs follow specifications 
      •     Develop and maintain technical documentation including data dictionaries, report catalogs, and dashboard user guides
      •     Present analytical findings and dashboard insights clearly to both technical and non-technical senior leadership audiences

REQUIRED QUALIFICATIONS
      •     Bachelor’s degree in Computer Science, Information Systems, Statistics, Mathematics, or related field
      •     5+ years of hands-on experience in Data Analytics and BI Development in an enterprise environment
      •     Strong proficiency in SQL — complex querying, joins, subqueries, window functions, stored procedures, and query performance tuning
      •     Hands-on Power BI development experience including Power Query (M), DAX formulas, calculated measures, data modeling, row-level security, and report publishing
      •     Proficiency in Python for data analysis, automation, and scripting — including pandas, NumPy, and data manipulation libraries
      •     Hands-on experience with Databricks — including notebooks, PySpark, Delta Lake, and large-scale data transformation workflows
      •     Experience in data modeling and dimensional modeling for analytics and BI semantic layers 
      •     Strong understanding of data warehousing concepts — star schema, snowflake schema, and data mart design
      •     Experience in financial services, payments, banking, or regulatory reporting environments 
      •     Excellent communication skills — able to translate complex data findings into clear, actionable insights for business stakeholders and senior leadership

PREFERRED QUALIFICATIONS
      •     Experience with Azure cloud services including Azure Data Factory, Azure Synapse Analytics, or Microsoft Fabric alongside Databricks
      •     Familiarity with Git-based version control and CI/CD practices for BI artifacts and data pipelines
      •     Experience with additional visualization tools such as Tableau in multi-tool BI environments
      •     Exposure to Agile/Scrum delivery methodology and sprint-based analytics development
      •     Knowledge of financial services data domains — payments, transactions, risk, compliance, or client operations
      •     Microsoft Certified: Data Analyst Associate (Power BI) certification is a strong plus
INTERVIEW PROCESS
Stage 1: In-Person Interview at Frisco, TX office
Stage 2: Hands-on Coding Test — SQL, Python, and Power BI DAX will be assessed
Note: Candidates must be prepared to demonstrate live coding ability during the in-person interview
WORK ARRANGEMENT
Location: Frisco, TX — Hybrid (regular in-office presence required)
All visa types are welcome to apply
COMPENSATION
Cliff Services W2: $50 to $55hr (candidate pay)