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Weekend Data Analytics Jobs in Houston, TX (NOW HIRING)

Data Analyst

Houston, TX · On-site

$85 - $110/hr

Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered. * 3+ years of experience in business ...

Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered. * 3+ years of experience in business ...

This person will be the primary data analytics resource supporting Holdings-level functions including finance, HR, payroll, and IT - working directly with executive stakeholders to translate business ...

Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered. * 3+ years of experience in business ...

Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science, Finance, or a related field; equivalent experience considered. * 3+ years of experience in business ...

Data Engineer

Houston, TX · On-site

$106K - $128K/yr

Gather, analyze, and interpret data to identify key trends, patterns, and opportunities for business improvement * Participate in daily stand-ups and other Agile ceremonies * Develop data pipelines ...

Minimum five (5) years of experience in data analytics preferably in healthcare or process improvement * Minimum three (3) years of professional experience collaborating with customers on the design ...

Data Engineer

Houston, TX · On-site

$30K - $35K/yr

Gather, analyze, and interpret data to identify key trends, patterns, and opportunities for business improvement * Participate in daily stand-ups and other Agile ceremonies * Develop data pipelines ...

ShiftCode Analytics, Inc. is seeking a Data Scientist for a fully onsite role in Houston, Texas. The Data Scientist will work independently on data science projects, identifying opportunities ...

Bachelor's degree in Business, Finance, Economics, Information Systems, or a related field * 0-2 years of professional experience in a data, analytics, or reporting role (internships and co-ops count)

Bachelor's degree in data analytics, information systems, business, computer science, or a related field preferred. * Previous experience in data analysis, quality assurance, data management ...

Analytics Engineer

Houston, TX · On-site

$99K - $118K/yr

Hybrid - Onsite 4 days per week Reports To: Sr. Manager, Data & Analytics ABOUT THE ROLE We are seeking an Analytics Engineer to join our Data & Analytics team and play a key role in designing ...

Showing results 21-40

Weekend Data Analytics information

See Houston, TX salary details

$32.5K

$78.9K

$129.9K

How much do weekend data analytics jobs pay per year?

As of Sep 2, 2026, the average yearly pay for weekend data analytics in Houston, TX is $78,919.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,700.00 and $92,600.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analytics vs Data Analyst?

AspectWeekend Data AnalyticsData Analyst
CredentialsBachelor's degree in data-related field, certifications like Google Data AnalyticsBachelor's or higher in data, statistics, or related fields, certifications optional
Work EnvironmentPart-time, flexible hours, often remote or on-site during weekendsFull-time, standard weekday hours, typically on-site or hybrid
Industry UsageUsed in industries needing weekend data support, such as retail or hospitalityUsed across various industries for data analysis, reporting, and insights

Weekend Data Analytics roles focus on part-time, flexible weekend work, often requiring specific certifications and catering to industries with weekend operations. Data Analysts typically work full-time during weekdays, handling broader data tasks across multiple sectors. Both roles involve data skills but differ mainly in schedule and scope.

Do data analysts work on weekends?

Data analysts typically work standard weekday hours, but they may occasionally work on weekends to meet project deadlines or analyze time-sensitive data. Weekend work is more common in roles with urgent reporting needs or in industries that operate 24/7, and it often depends on the company's policies and project requirements.

What are the most commonly searched types of Data Analytics jobs in Houston, TX?

The most popular types of Data Analytics jobs in Houston, TX are:

Infographic showing various Weekend Data Analytics job openings in Houston, TX as of August 2026, with employment types broken down into 63% Full Time, 16% Part Time, and 21% Contract. Highlights an 100% In-person job distribution, with an average salary of $78,919 per year, or $37.9 per hour.

Lead Software Engineer - Data Engg/ Data Analytics

JPMorgan Chase & Co

Houston, TX • On-site

$109K - $131K/yr

Full-time

Medical, Retirement

This job post has expired 1 day ago. Applications are no longer accepted.


JPMorgan Chase & Co. rating

8.0

Company rating: 8.0 out of 10

Based on 499 frontline employees who took The Breakroom Quiz

72nd of 174 rated banks


Job description

We have an opportunity to impact your career and provide an adventure where you can push the limits of what's possible. 
As a Lead Software Engineer at JPMorganChase within the Corporate Technology - Data protection and Recovery product line, you are an integral part of an agile team that works to enhance, build, and deliver trusted market-leading technology products in a secure, stable, and scalable way. As a core technical contributor, you are responsible for conducting critical technology solutions across multiple technical areas within various business functions in support of the firm's business objectives. 
Job responsibilities
  • Executes creative software solutions, design, development, and technical troubleshooting with ability to think beyond routine or conventional approaches to build solutions or breakdown technical problems
  • Develops secure and high-quality production code, and reviews and debugs code written by others
  • Drives team adoption of enterprise-authorized AI-assisted engineering practices within the work environment to improve code quality, delivery speed, and operational outcomes (e.g., AI-assisted code review/refactoring, test strategy acceleration, incident/root-cause analysis support), while establishing consistent validation standards (secure coding, peer review, automated testing) and promoting reuse of effective patterns across the team.
  • Applies knowledge of tools within the Software Development Life Cycle toolchain, including enterprise-authorized AI-assisted development and automation capabilities, to improve the value realized by automation.
  • Identifies opportunities to eliminate or automate remediation of recurring issues to improve overall operational stability of software applications and systems
  • Leads evaluation sessions with external vendors, startups, and internal teams to drive outcomes-oriented probing of architectural designs, technical credentials, and applicability for use within existing systems and information architecture
  • Generates data models for their team using firmwide tooling, linear algebra, statistics, and geometrical algorithms
  • Delivers data collection, storage, access, and analytics data platform solutions in a secure, stable, and scalable way
  • Evaluates and reports on access control processes to determine effectiveness of data asset security with minimal supervision
  • Create reports in JIRA, Confluence, and other platforms as needed, to improve product line reporting workflow, JIRA and resource analysis, Sprint results and efficiency, other metrics

Required qualifications, capabilities, and skills

  •  Formal training or certification on software engineering concepts and 5+ years applied experience
  • Demonstrated experience leading effective use of approved AI-assisted software development tools (e.g., for coding, code review, test acceleration, troubleshooting) with the ability to set team expectations for validating AI outputs for correctness, performance, and security.
  • Strong understanding of responsible AI use in engineering workflows, including data sensitivity considerations, secure handling of inputs/outputs, and adherence to resiliency and security expectations; experience coaching engineers on safe, compliant adoption within delivery practices
  • Strong Python programming skills, including unit and integration testing
  • Strong SQL skills and experience with SQL-based transformation tooling .
  • Experience designing and operating orchestration pipelines using Airflow or similar tools
  • Experience designing and building streaming pipelines using Kafka, Pub/Sub, or similar messaging systems
  • Experience and proficiency across the data lifecycle
  • Demonstrated experience delivering in an agile, fast-paced engineering environment
  • Advanced understanding of agile methodologies such as CI/CD, Application Resiliency, and Security
Preferred qualifications, capabilities, and skills
 
  • Experience in building application using Java Spark .
  • Experience with AWS cloud technologies.
  • Experience with data governance frameworks.
  • Understanding of incremental data processing and versioning.
  • Understanding of RESTful APIs and web technologies.
JPMorganChase, one of the oldest financial institutions, offers innovative financial solutions to millions of consumers, small businesses and many of the world's most prominent corporate, institutional and government clients under the J.P. Morgan and Chase brands. Our history spans over 200 years and today we are a leader in investment banking, consumer and small business banking, commercial banking, financial transaction processing and asset management.

We offer a competitive total rewards package including base salary determined based on the role, experience, skill set and location. Those in eligible roles may receive commission-based pay and/or discretionary incentive compensation, paid in the form of cash and/or forfeitable equity, awarded in recognition of individual achievements and contributions. We also offer a range of benefits and programs to meet employee needs, based on eligibility. These benefits include comprehensive health care coverage, on-site health and wellness centers, a retirement savings plan, backup childcare, tuition reimbursement, mental health support, financial coaching and more. Additional details about total compensation and benefits will be provided during the hiring process. 

We recognize that our people are our strength and the diverse talents they bring to our global workforce are directly linked to our success. We are an equal opportunity employer and place a high value on diversity and inclusion at our company. We do not discriminate on the basis of any protected attribute, including race, religion, color, national origin, gender, sexual orientation, gender identity, gender expression, age, marital or veteran status, pregnancy or disability, or any other basis protected under applicable law. We also make reasonable accommodations for applicants' and employees' religious practices and beliefs, as well as mental health or physical disability needs. Visit our FAQs for more information about requesting an accommodation.

JPMorgan Chase & Co. is an Equal Opportunity Employer, including Disability/Veterans

Our Global Technology Infrastructure group is a team of innovators who love technology as much as you do. Together, you'll use a disciplined, innovative and a business focused approach to develop a wide variety of high-quality products and solutions. You'll work in a stable, resilient and secure operating environment where you-and the products you deliver-will thrive.

High Risk Roles (HRR) are sensitive roles within the technology organization that require high assurance of the integrity of staff by virtue of 1) sensitive cybersecurity and technology functions they perform within systems or 2) information they receive regarding sensitive cybersecurity or technology matters. Users in these roles are subject to enhanced pre-hire screening which includes both criminal and credit background checks (as allowed by law). The enhanced screening will need to be successfully completed prior to commencing employment or assignment.



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