2

Full Time Python Data Analysis Jobs in Austin, TX

As a part of our team, you will leverage your analytical skills and expertise in machine learning ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

As a part of our team, you will leverage your analytical skills and expertise in machine learning ... Programming: Proficiency in Python or R along with SQL for database querying. * Mathematics ...

... data analysis, and delivering clear recommendations aligned to business outcomes * Experience with database and programming tools such as Snowflake, dbt, and Qubole (Hive/Spark/Presto); Python and R ...

... data analysis, and delivering clear recommendations aligned to business outcomes * Experience with database and programming tools such as Snowflake, dbt, and Qubole (Hive/Spark/Presto); Python and R ...

GCP Data Engineer

Austin, TX

$113.50K - $136.30K/yr

... Python, and SQL will be crucial in developing effective data solution that support our fraud data analytics and reporting efforts. * 8+ years of hands-on experience with data management in gathering ...

Data Analyst

Austin, TX · On-site

$70K - $75K/yr

Perform data analysis to identify trends, patterns, and insights that will guide business strategy ... Proficiency in SQL, Python or equivalent * Proficiency in Excel/Google Sheets * Strong knowledge of ...

Data Engineer

Austin, TX

$113.50K - $136.30K/yr

... and Python. * Data pipeline tooling and cloud data services experience (Azure Data Factory, Azure Databricks, Azure Event Hubs, SSIS). * Data warehousing experience (Azure Synapse Analytics) and ...

next page

Showing results 1-20

Full Time Python Data Analysis information

See Austin, TX salary details

$13

$58

$85

How much do full time python data analysis jobs pay per hour?

As of May 31, 2026, the average hourly pay for full time python data analysis in Austin, TX is $58.11, according to ZipRecruiter salary data. Most workers in this role earn between $47.88 and $66.01 per hour, depending on experience, location, and employer.

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

To thrive as a Full Time Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics, typically supported by a relevant degree in computer science, mathematics, or a related field. Familiarity with data analysis libraries (such as pandas and NumPy), data visualization tools (like Matplotlib or Seaborn), and experience with SQL databases are commonly required. Attention to detail, problem-solving abilities, and effective communication skills distinguish top performers in this role. These skills and qualities are crucial for extracting actionable insights from data and effectively collaborating with stakeholders to inform business decisions.

What are some common challenges faced by Full Time Python Data Analysts and how can they be addressed?

Full Time Python Data Analysts often encounter challenges such as handling large, messy datasets and ensuring data accuracy. Navigating complex data sources or integrating data from multiple platforms can also be demanding. To address these challenges, analysts typically leverage robust Python libraries like pandas and NumPy for efficient data wrangling, and collaborate closely with data engineering teams to clarify requirements and resolve data discrepancies. Regular code reviews and adopting best practices in data validation help maintain data integrity and streamline analysis workflows.

What is a Full Time Python Data Analysis job?

A Full Time Python Data Analysis job involves using the Python programming language to collect, clean, analyze, and visualize data in order to help organizations make data-driven decisions. Professionals in this role work with large data sets, utilize libraries like pandas and NumPy, and often create reports or dashboards to communicate their findings. They may collaborate with other teams to identify trends, solve business problems, and provide actionable insights based on the data.

What is the difference between Full Time Python Data Analysis vs Data Scientist?

AspectFull Time Python Data AnalysisData Scientist
Required CredentialsBachelor's in Data Analysis, Statistics, or related field; Python skillsBachelor's or higher in Data Science, Computer Science, or related; Python, R, ML certifications
Work EnvironmentCorporate, finance, marketing, or tech companies; data-focused teamsResearch labs, tech firms, finance, or healthcare; data modeling and research
Employer & Industry UsageCommon in industries needing data reporting and insightsUsed for predictive modeling, machine learning, and advanced analytics

Full Time Python Data Analysts focus on interpreting data and generating reports using Python, while Data Scientists develop models and algorithms for predictive analytics. Both roles require Python skills, but Data Scientists typically have more advanced statistical and machine learning expertise. The roles often overlap, but Data Scientists tend to work on more complex modeling tasks, whereas Data Analysts focus on data interpretation and visualization.

What are the most commonly searched types of Python Data Analysis jobs in Austin, TX? The most popular types of Python Data Analysis jobs in Austin, TX are:
What job categories do people searching Full Time Python Data Analysis jobs in Austin, TX look for? The top searched job categories for Full Time Python Data Analysis jobs in Austin, TX are:
Infographic showing various Full Time Python Data Analysis job openings in Austin, TX as of May 2026, with employment types broken down into 2% Locum Tenens, 9% As Needed, 28% Full Time, 23% Part Time, 33% Contract, and 5% Nights. Highlights an 92% Physical, 1% Hybrid, and 7% Remote job distribution, with an average salary of $120,861 per year, or $58.1 per hour.
REMOTE: Marketing Data Analyst

REMOTE: Marketing Data Analyst

Marrina Decisions

Austin, TX • Remote

Full-time

Medical, PTO

Posted 29 days ago


Job description



Are you a data-driven problem solver with a passion for uncovering insights? We're seeking a skilled Data Analyst to join our team and help us make data-driven decisions that drive our business forward.

As a Data Analyst, you will play a critical role in transforming raw data into actionable insights. You will leverage your expertise in statistical analysis, data mining, and business intelligence to identify trends, patterns, and opportunities.

The right candidate for this role combines knowledge of marketing, SQL, attention to detail, marketing metrics and a passion for process improvement, and a commitment to completing projects on time. This is for one of our premium clients in the US region and you can get a chance to work with the most brilliant and innovative teams from the comfort of your home office. If you thrive in a fast-paced environment and are excited to make a significant impact, we encourage you to apply.


What You'll Do:

  • Develop and implement data strategies to support business objectives.
  • Conduct complex data analysis to uncover insights and trends.
  • Build and maintain data models and pipelines.
  • Develop and implement data-driven marketing strategies.
  • Analyze marketing campaign performance and provide actionable insights.
  • Create interactive dashboards and reports to communicate findings.
  • Conduct customer segmentation and profiling.
  • Identify opportunities for marketing optimization.
  • Collaborate with marketing teams to measure campaign effectiveness.
  • Collaborate with cross-functional teams to identify data needs and opportunities.
  • Provide data-driven recommendations to improve business performance.
  • Stay up-to-date with the latest data technologies and trends.

What You'll Need:

  • 3+ years of experience in data analysis and business intelligence.
  • Advanced proficiency in SQL and Python.
  • Strong statistical knowledge and ability to apply statistical methods to solve complex problems.
  • Expertise in data visualization tools (Tableau, Power BI, Looker, etc.) to create compelling and informative dashboards.
  • Excellent problem-solving and analytical skills to identify patterns, trends, and insights from large datasets.
  • Strong communication skills to effectively convey complex findings to both technical and non-technical audiences.
  • Data modeling and ETL experience to transform raw data into actionable insights.
  • Operationally focused with a strong reliance on process and standards
  • Keen attention to detail & accuracy in reporting
  • Comfortable to work across teams and seek alignment to help maintain a best-in-class marketing operations framework
  • Collaborative and highly communicative with team, peers, partners & executives
  • Ready to learn and solve problems both in isolation and in a team environment
  • Must know excel or Google sheets - power user status is highly desired (Pivot Tables, VLOOKUP, conditional formatting, Flash Fill, etc.)

Desired Skills and Experience

  • Experience with machine learning or predictive modeling techniques.
  • Domain expertise in B2B Marketing.
  • Leadership skills to mentor junior analysts and guide data initiatives.
  • Business acumen to understand the organization's goals and translate data into actionable recommendations.
  • Project management skills to manage multiple projects and prioritize tasks effectively.


Marrina Decisions is an Equal Opportunity Employer

Marrina Decisions offers

Health Benefits, Paid Vacation, Paid Holidays, Paid Sick Time, Ongoing Training programs, and opportunities to learn and grow in the MarTech world.