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Weekend Python Data Analyst Jobs in Bakersfield, CA

Basic knowledge of SQL, Python, or other data analysis tools is a plus * Experience supporting reporting and analytics in complex, multidisciplinary environments Additional Information Sponsorship is ...

Basic knowledge of SQL, Python, or other data analysis tools is a plus * Experience supporting reporting and analytics in complex, multidisciplinary environments Additional Information Sponsorship is ...

Basic knowledge of SQL, Python, or other data analysis tools is a plus * Experience supporting reporting and analytics in complex, multidisciplinary environments Additional Information Sponsorship is ...

Sr. Maintenance Scheduler

Bakersfield, CA

$61K - $74K/yr

Identify opportunities to improve maintenance planning effectiveness through data analysis, including schedule adherence, downtime trends, and resource utilization. * Weekend work may be required ...

Sr. Maintenance Scheduler

Bakersfield, CA · On-site

$61K - $74K/yr

Identify opportunities to improve maintenance planning effectiveness through data analysis, including schedule adherence, downtime trends, and resource utilization. * Weekend work may be required ...

Sr. Maintenance Scheduler

Bakersfield, CA · On-site

$61K - $74K/yr

Identify opportunities to improve maintenance planning effectiveness through data analysis, including schedule adherence, downtime trends, and resource utilization. * Weekend work may be required ...

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Weekend Python Data Analyst information

See Bakersfield, CA salary details

$35.2K

$85.5K

$140.6K

How much do weekend python data analyst jobs pay per year?

As of Aug 25, 2026, the average yearly pay for weekend python data analyst in Bakersfield, CA is $85,465.00, according to ZipRecruiter salary data. Most workers in this role earn between $64,600.00 and $100,300.00 per year, depending on experience, location, and employer.

What is a Weekend Python Data Analyst?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

Education Data Scientist

Bakersfield, CA • On-site

Kern Community College District
Colleges, Universities, and Professional Schools • 1 - 5K employees

$7.6K - $10K/mo

Other

Medical, Dental, Vision, Life, Retirement

Posted 14 days ago


Job description

Salary: $7,635.85 - $10,789.27 Monthly
Location : District Office, CA
Job Type: Classified
Job Number: FY26-2700030
College: District Office
Department: Institutional Research
Opening Date: 08/11/2026
Closing Date: Continuous
Assured Consideration Date: 08/25/2026
Internal Posting Information: None
Below is our job description for this position. Please also review the Important Instructions & Additional Information section below, which contains valuable information about our application process.
Basic Function
Reporting to the Dean of Institutional Effectiveness, the Education Data Scientist uses their experience in institutional research and higher education in combination with their data scientist skillset to support the institutional research in developing insights and tools that increase student success.
DISTINGUISHING CHARACTERISTICS:
The Education Data Scientist analyzes large amounts of raw information to find patterns that will help improve operations and student success. Responsibilities include analysis of current and historical data on students, staff, departmental workload, enrollment, retention, and graduation. The Education Data Scientist executes strategic, innovative data driven analyses that provide valuable insight, working closely with other members of the Office of Institutional Effectiveness in gathering, analyzing, and reporting data. The EDS supports the development of dashboards, data visualizations, and automated reports and consults regularly with campus stakeholders, building productive professional relationships to understand their current processes and needs and to proactively identify opportunities for collaboration, automation, advanced analytics, and project development.
Representative Duties
Identify valuable data sources and automate collection processes
Undertake preprocessing of structured and unstructured data
Analyze large amounts of information to discover trends and patterns
Use machine learning and other approaches to analyze and categorize student engagement and learning
Build predictive models and machine-learning algorithms
Combine models through ensemble modeling
Present information using data visualization techniques
Propose solutions and strategies to operational challenges including ways to maximize student success
Collaborate with institutional research, planning, and development teams
Perform related duties as assigned.
Minimum Qualifications
Any combination equivalent to: Bachelor's degree in Information Systems, Computer Science or related field and 2 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
OR
An Associate's degree in Computer Science and 4 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
OR
High school diploma, GED or equivalent certificate of competency and 5 years of increasingly responsible data warehouse & reporting, programming or systems analysis and design experience.
PREFERRED QUALIFICATIONS:
Graduate degree in Data Science or another quantitative field.
Knowledge & Abilities
KNOWLEDGE OF:
Knowledge of data extraction, collection, and analysis tools (e.g., R, SQL, Python); familiarity with Canvas, Scala, Java or C++ is an asset
Knowledge of machine-learning research
ABILITY TO:
Ability to use business intelligence tools (e.g., Tableau), data warehouses, and data frameworks (e.g., AWS, Redshift, Hadoop)
Interact, participate and conduct presentations to individuals, college groups, committees, organizations and others as assigned.
Analytical mind and problem-solving aptitude
Prepare comprehensive statistical and narrative reports.
Establish and maintain cooperative working relationships
Maintain a positive working environment and work towards a common goal.
SALARY RANGE
$7,635.85 - $10,789.27 monthly
Maximum Entry Level Salary: $ 8,022.42 monthly
SPECIAL INSTRUCTIONS
First Review of Applications: Complete application packets will be accepted until the position is filled; but those received by August 25, 2026, are assured consideration. The College reserves the right to extend time limits or re-initiate the recruitment/selection process at any point.
Completed application packet must include:
  • Completed Online Application for Employment form
  • Current resume
  • Letter of interest (Cover Letter)
  • Copy of legible transcripts
  • List of five (5) professional references - Listed on application form

It is the applicant's responsibility to redact (or remove) any personal information from all documents prior to uploading. This includes Social Security Numbers, Date of Birth, and any photos of the applicant.
Foreign Degree: Applicants with foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association that is a member of the National Association of Credential Evaluation Services (NACES) or Academic Credentials Evaluation Institute, INC. (ACEI). A copy of the evaluation must be submitted with your on-line application.
Applicants who require reasonable accommodation to participate in the selection process should contact Human Resources to make the necessary arrangements. EEO Plan 2021-2024
Note: The District is strongly committed to achieving staff diversity and the principles of equal employment opportunity. The District encourages a diverse pool of applicants and does not discriminate on the basis of national origin, religion, age, gender, gender identity, gender expression, race or ethnicity, color, medical condition, genetic information, ancestry, sexual orientation, marital status, physical or mental disability, pregnancy, or because he/she is perceived to have one or more of the foregoing characteristics, or based on association with a person or group with one or more of these actual or perceived characteristics or any other characteristic protected by federal, state or local law, in any of its policies, procedures or practices. Discrimination Free Work Environment
The District does not provide sponsorship for authorization to work in the United States. Work authorization should be established at the time of application submission.
Important Instructions & Additional Information
Complete applications received by the "assured consideration date" above are guaranteed to be reviewed by Human Resources. If you apply after this date, there is no guarantee that your application will be reviewed. However, we still recommend that you apply because recruitments remain open until filled. The District and/or College reserves the right to extend time limits and/or repost or restart recruitments at any point.
Completed applications must include the following.
  • Completed online application for employment
  • Current resume
  • Letter of interest (cover letter)
  • List of 5 (five) professional references (entered in online application)
  • Copy of legible transcripts (if required for the position)

It is your responsibility to redact or remove any personally identifiable information from all documents prior to uploading, including Social Security numbers, date of birth, photos, etc.
For all positions, sensitivity to and understanding of the diverse academic, socioeconomic, cultural, disability, gender identity, sexual orientation, and ethnic backgrounds of community college students, shall be considered a core system competency and job requirement. ()
Equivalency for Minimum Qualifications
Applicants for faculty and educational administrator positions in California Community Colleges are required to meet certain minimum qualifications as provided by the California Community Colleges Chancellor's Office and detailed in the If you do not meet these minimum qualifications, you may still be eligible by completing the KernCCD Application for Equivalence process. Please see our for more information.
International or Foreign Degrees
Applicants with international or foreign degrees from colleges or universities outside of the United States must have their coursework evaluated by a professional association that is a member of the National Association of Credential Evaluation Services (NACES) or Academic Credentials Evaluation Institute, INC. (ACEI). A copy of the evaluation must be submitted with your online application.
Accommodations
Applicants who require reasonable accommodation to participate in the selection process should contact Human Resources to make the necessary arrangements. (For more information, see our )
Discrimination Free Work Environment
Discrimination based on race, religious creed, color, national origin, ancestry, physical disability, mental disability, medical condition, genetic information, marital status, sex, gender, gender identity, gender expression, age, sexual orientation of any person, military and veteran status, or the perception that a person has one or more of these characteristics is illegal and violates Kern Community College District policy.
The Kern CCD Equal Employment Opportunity Plan guides the development, implementation, and monitoring of the District's efforts to foster equal employment opportunities and workplace diversity.
See our for more information.
Work Authorization
Kern Community College District does not provide sponsorship for authorization to work in the United States. Work authorization should be established at the time of application submission.
E-Verify
The Kern Community College District participates in the U.S. Department of Homeland Security's E-Verify program to verify the identity and employment eligibility of all newly hired employees. To learn more about E-Verify, please visit
Helpful Links
Full-time permanent employees (20+ hours per month) are eligible for health benefits:
  • Health
  • Dental
  • Vision
  • Life Insurance
  • Long-term Disability

In addition to the above benefits, the District also offers a robust voluntary benefits selection:
  • Flex 125
  • Additional products and services through American Fidelity
  • Supplemental Voluntary Life Insurance
  • Tax Shelter Annuities

The District participates in CalPERS Retirement System and Social Security benefits for Classified and Management employees. Employees covered under the California Public Employees Retirement System (CalPERS), are vested 100% after five years of full-time service credit.
The District participates in the State Teacher's Retirement System (STRS) for faculty. Employees covered under the State Teacher's Retirement System (STRS), are vested 100% after five years of full-time service credit.
All coverages begin on the first of the following month after the hire date.
The following classifications are eligible for the Affordable Care Act (ACA) health benefits at the employee expense offered through SISC:
  • Permanent Employees (19 hours or less)
  • Adjuncts
  • Temporary Hourly
  • Professional Experts

For additional information, please visit our

Kern Community College District logo

About Kern Community College District

Sourced by ZipRecruiter

Kern Community College District (KCCD) is a reputable organization in the educational sector based in Bakersfield, California, United States. Their industry consists of higher education services focused on providing quality and diverse learning experiences to meet the educational and workforce development needs. Dating back to its establishment in 1968, KCCD has grown substantially, managing three accredited colleges: Bakersfield College, Cerro Coso Community College, and Porterville College. The mission of KCCD is to provide outstanding educational programs and services that are responsive to the diverse needs of the students, communities, and economy.

Industry

Colleges, universities, and professional schools

Company size

1,001 - 5,000 Employees

Headquarters location

Bakersfield, CA, US

Year founded

1961