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Commission Python Data Analyst Jobs in Texas (NOW HIRING)

Senior Data Analyst

Texas City, TX · On-site

$73K - $92K/yr

The ideal candidate will have strong hands-on experience with SQL, Python, Excel, Power BI/Tableau, data modeling, ETL, and business requirements analysis . Responsibilities * Analyze large and ...

New

Use SQL, Python, Excel/VBA , and other analytical tools to manipulate, validate, transform, and analyze data. * Develop automated reports, dashboards, and visualizations using tools such as Tableau

Data Analyst

San Antonio, TX · On-site

$65 - $95/hr

The Data Analyst is responsible for creating & providing correct, accurate & complete data ... Knowledge of DAX, T-SQL, C#, D3, R or Python or any other statistical programming language for ...

The Data Analyst is responsible for creating & providing correct, accurate & complete data ... Knowledge of DAX, T-SQL, C#, D3, R or Python or any other statistical programming language for ...

... complex analytics data sources 10 Required Experience explaining technical findings and data ... Python. 1 Preferred Experience applying responsible AI practices and compliance with agency ...

Data Analyst

Houston, TX · On-site +1

$21 - $26/hr

Proficiency in data analysis tools such as SQL, Python, R, or similar programming languages. * Experience with data visualization tools (e.g., Tableau, Power BI, or similar). * Strong analytical and ...

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

Analyze large scale complex business data (time series data, structured/unstructured) from various ... Experience writing code in Python, R, Scala, and distributed computing technologies like Spark.

This role reports to the Data Analytics Manager, AfterSales. Job Responsibilities * Extract, clean ... Experience with, or understanding of, programming (R, Python) * Substantive experience working with ...

Working knowledge of programming languages like Python or R for data analysis, automation, and statistical modeling * Experience handling and analyzing large, complex datasets, with an understanding ...

Required : • Strong understanding of LLMs, generative AI, and transformer-based architectures. • Experience with Python, data analysis, and model evaluation frameworks. • Familiarity with ...

... data scientists' analysts and product teams to translate requirements into technical solutions. • Optimize existing data workflows for performance and scalability Participate in code reviews ...

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 ...

Senior Data Analyst

Lubbock, TX · On-site

$60K - $80K/yr

The Senior Data Analyst leverages SQL and Python to perform advanced analysis, validate data integrity, and develop reports and dashboards that help uncover trends, measure performance, identify ...

Showing results 21-40

Commission Python Data Analyst information

What is a Commission Python Data Analyst?

A Commission Python Data Analyst is a data professional who specializes in analyzing and interpreting data using the Python programming language, often working on a commission or contract basis. They use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data, helping organizations make data-driven decisions. Their responsibilities may include creating reports, building predictive models, and automating data workflows. These analysts typically work across various industries and are valued for their ability to deliver insights quickly and efficiently.

How does a Commission Python Data Analyst typically collaborate with sales or business teams to drive data-driven decision-making?

As a Commission Python Data Analyst, you will frequently work alongside sales or business development teams to analyze sales performance, identify trends, and develop actionable insights that can boost revenue. You’ll often be tasked with translating raw data into clear, concise reports or interactive dashboards tailored to non-technical stakeholders. Close collaboration is essential; expect to attend regular meetings, discuss data requirements, and provide ongoing support to help teams set and achieve their targets. Your ability to communicate complex findings in an accessible way directly impacts the business’s strategic decisions and your own commission potential.

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

To thrive as a Commission Python Data Analyst, you need strong analytical skills, expertise in Python programming, and a solid understanding of statistics and data modeling, typically supported by a degree in a quantitative field. Proficiency with data analysis libraries (such as pandas and NumPy), visualization tools (like Matplotlib or Seaborn), and familiarity with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills help you interpret data insights and present findings to stakeholders. These skills and qualities are essential for accurately analyzing commission-based data, driving informed decisions, and supporting business goals.

What are the most commonly searched types of Python Data Analyst jobs in Texas?

The most popular types of Python Data Analyst jobs in Texas are:

What cities in Texas are hiring for Commission Python Data Analyst jobs?

Cities in Texas with the most Commission Python Data Analyst job openings:

Senior Data Analyst

Raas Infotek LLC

Texas City, TX • On-site

$73K - $92K/yr

Other

Posted 2 days ago

New


Job description

Senior Data Analyst – Job Description

Job Title: Senior Data Analyst
Experience: 12+ Years
Job Type: W2 Contract
Location: Open / Hybrid 

Job Summary

We are seeking a highly experienced Senior Data Analyst with 12+ years of experience in data analysis, reporting, business intelligence, and data visualization. The ideal candidate will have strong hands-on experience with SQL, Python, Excel, Power BI/Tableau, data modeling, ETL, and business requirements analysis.

Responsibilities
  • Analyze large and complex datasets to identify trends, patterns, and business insights.

  • Develop and optimize complex SQL queries for data extraction and analysis.

  • Create interactive dashboards and reports using Power BI, Tableau, or similar BI tools.

  • Gather and analyze business requirements and translate them into data-driven solutions.

  • Perform data cleansing, validation, reconciliation, and quality checks.

  • Develop KPIs, metrics, reports, and analytical models to support business decisions.

  • Work with data engineering teams to understand and validate ETL/ELT pipelines and data sources.

  • Perform root-cause analysis and investigate data discrepancies and quality issues.

  • Build automated reporting and analytical solutions using Python, SQL, and BI tools.

  • Perform data profiling, trend analysis, forecasting, and ad-hoc analysis as required.

  • Collaborate with business stakeholders, product teams, developers, data engineers, and leadership.

  • Document data sources, business rules, reporting requirements, and analytical processes.

  • Present findings and recommendations clearly to technical and non-technical stakeholders.

  • Support Agile/Scrum teams and participate in requirement gathering, sprint planning, and review meetings.

  • Mentor junior analysts and contribute to data analytics best practices.

Required Skills
  • 12+ years of experience in Data Analytics, Business Intelligence, or a related field.

  • Strong hands-on experience with SQL and relational databases.

  • Advanced experience with Power BI and/or Tableau.

  • Strong experience with Excel, including PivotTables, formulas, and data analysis.

  • Experience with Python for data analysis and automation.

  • Strong knowledge of data visualization, reporting, and dashboard development.

  • Experience with data modeling, data profiling, and data quality.

  • Understanding of ETL/ELT processes and data warehouse concepts.

  • Experience working with databases such as SQL Server, Oracle, PostgreSQL, Snowflake, or similar.

  • Strong analytical and problem-solving skills.

  • Excellent communication and stakeholder-management skills.

  • Experience working in Agile/Scrum environments.

Preferred Skills
  • Experience with AWS, Azure, or Google Cloud Platform.

  • Knowledge of Databricks, Spark, or Snowflake.

  • Experience with statistical analysis and forecasting.

  • Knowledge of Python libraries such as Pandas and NumPy.

  • Experience with data governance, data lineage, and metadata management.

  • Experience working with large-scale datasets and enterprise reporting environments.

  • Knowledge of business intelligence best practices and KPI development.