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Senior Python Data Analysis Jobs in Lake Jackson, TX

SENIOR RESEARCH ANALYST

Lake Jackson, TX ยท On-site

$100K - $101K/yr

Senior Institutional Research Analyst Pay Grade Level Grade 17 Pay Rate: This position follows the ... Develop and maintain code for efficient data preparation, cleaning, and analysis. * Document ...

SENIOR RESEARCH ANALYST

Lake Jackson, TX ยท On-site

$100K - $101K/yr

Senior Institutional Research Analyst Pay Grade Level Grade 17 Pay Rate: This position follows the ... Develop and maintain code for efficient data preparation, cleaning, and analysis. * Document ...

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Senior Python Data Analysis information

See Lake Jackson, TX salary details

$47.8K

$123.3K

$169.4K

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

As of Jul 26, 2026, the average yearly pay for senior python data analysis in Lake Jackson, TX is $123,327.00, according to ZipRecruiter salary data. Most workers in this role earn between $105,500.00 and $142,000.00 per year, depending on experience, location, and employer.

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

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 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 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 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 most commonly searched types of Python Data Analysis jobs in Lake Jackson, TX? The most popular types of Python Data Analysis jobs in Lake Jackson, TX are:
What are popular job titles related to Senior Python Data Analysis jobs in Lake Jackson, TX? For Senior Python Data Analysis jobs in Lake Jackson, TX, the most frequently searched job titles are:
What job categories do people searching Senior Python Data Analysis jobs in Lake Jackson, TX look for? The top searched job categories for Senior Python Data Analysis jobs in Lake Jackson, TX are:
What cities near Lake Jackson, TX are hiring for Senior Python Data Analysis jobs? Cities near Lake Jackson, TX with the most Senior Python Data Analysis job openings:
Infographic showing various Senior Python Data Analysis job openings in Lake Jackson, TX as of July 2026, with employment types broken down into 100% Full Time. Highlights an 74% In-person, and 26% Hybrid job distribution, with an average salary of $123,327 per year, or $59.3 per hour.
SENIOR RESEARCH ANALYST

SENIOR RESEARCH ANALYST

Brazosport College

Lake Jackson, TX โ€ข On-site

$100K - $101K/yr

Full-time

Posted 21 days ago


Job description

Classification Title:
Senior Institutional Research Analyst
Pay Grade Level
Grade 17
Pay Rate:
This position follows the administrative and support staff salary structure for a grade 17 position; excellent fringe benefits.
Department:
Planning, Institutional Effectiveness, and Research
Physical Demands:
Able to traverse campus, lifting, carrying, pushing/pulling, reaching, handling, fine dexterity, bending, vision, hearing, and talking.
Job Summary/Basic Function:
Under the direction of the Dean of Planning, Institutional Effectiveness, and Research (PIER), the Senior Institutional Research Analyst performs advanced research and evaluation functions to support institutional decision-making, planning, and accountability. Responsibilities include designing and conducting comprehensive research and evaluation studies of programs, departments, and student populations; supporting data compliance reporting; fulfilling internal and external data requests; and assisting with data needs for grant development. Reports to the Dean of Planning, Institutional Effectiveness, and Research (PIER).
This position requires advanced expertise in research methodology and data analytics. The Senior Analyst coordinates and manages complex research projects, often involving collaboration across departments. This role is distinguished from the Institutional Research Analyst position by its leadership responsibility and advanced skill sets.
  • Lead the design, planning, and execution of institutional research and evaluation projects.
  • Collaborate with the PIER team in the evaluation of academic and student services programs.
  • Apply advanced statistical procedures and sampling techniques to ensure data accuracy and reliability.
  • Prepare and submit reports to college leadership, federal and state agencies, and external stakeholders to meet compliance and funding requirements.
  • Design and implement surveys; analyze and communicate findings to the college community.
  • Compile research reports with clear data visualizations, explanations of methodologies, and summaries of findings and implications.
  • Query institutional databases for key performance indicators such as enrollment trends, retention and graduation rates, and program participation.
  • Conduct qualitative research (e.g., focus groups, interviews) as needed.
  • Provide expert analysis and consultation for initiatives related to enrollment management and student success.
  • Develop and maintain code for efficient data preparation, cleaning, and analysis.
  • Document projects and maintain data system records for reproducibility and future reference.
  • Extract and analyze data from internal and external sources.
  • Use software tools such as Tableau, R, SPSS, Excel, and PowerPoint for data analysis and visualization.
  • Communicate findings effectively to stakeholders across the college.
  • Contribute to the development and ongoing maintenance of institutional dashboards.
  • Create and manage research agendas, calendars, and timelines.
  • Participate in committees and attend assigned meetings.
  • Complete all required training and professional development activities.
  • May work evenings, weekends, or holidays based on project deadlines or special assignments.
  • Foster a collaborative, team-oriented work environment.
  • Build and maintain positive relationships with diverse internal and external stakeholders.
  • Perform additional duties as assigned by senior leadership.

Minimum Qualifications:
  • Master's degree from an accredited institution in Statistics, Education, Organizational Development, Business Analytics, Information Technology, Psychology, or a related field.
  • Minimum of three (3) years of progressive experience in institutional research.
  • Demonstrated experience in data analysis, data collection, survey design, and federal reporting, including submissions to the National Student Clearinghouse and IPEDS.
  • Proven experience preparing IPEDS and state reports.
  • Advanced statistical methods, including sampling, correlation analysis, and forecasting as applied to educational and social research.
  • Quantitative and qualitative research design and analysis techniques.
  • Survey design, implementation, and analysis.
  • Data visualization and communication strategies.
  • Statistical and reporting tools (e.g., R, SPSS, SQL, Tableau).
  • Principles of effective written and oral communication.
  • Technical report writing and presentation of narrative/statistical data.
  • Higher education accountability and reporting requirements ( e.g., IPEDS, National Student Clearinghouse).

Location;
Position is 100% on- site presence