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Weekend Data Analyst Fintech Jobs in Spring, TX (NOW HIRING)

Frac Data Analyst

Houston, TX · On-site

$55 - $90/hr

Ability to work nights and weekends in a rotation (Schedule is 7 days on/7 days off, 12 hour shifts ... Analytical thinking skills * Ability to identify anomalies and problem data * Ability to train ...

Ability to work nights and weekends in a rotation (Schedule is 7 days on/7 days off, 12 hour shifts ... Analytical thinking skills * Ability to identify anomalies and problem data * Ability to train ...

Ability to work nights and weekends in a rotation * Ability to enter accurate data and prioritize ... Analytical thinking skills * Ability to identify anomalies and problem data * A motivated learner ...

An owner running three locations, no marketing hire, no data analyst, opens Menufy on her phone ... Background in e-commerce, growth marketing, CRM platforms, fintech, consumer apps, or another high ...

An owner running three locations, no marketing hire, no data analyst, opens Menufy on her phone ... Background in e-commerce, growth marketing, CRM platforms, fintech, consumer apps, or another high ...

An owner running three locations, no marketing hire, no data analyst, opens Menufy on her phone ... Background in e-commerce, growth marketing, CRM platforms, fintech, consumer apps, or another high ...

Supercharge Your Career as a Jr Finance Analyst at Technoidentity Technoidentity -- Durable Product ... a Data+AI product engineering company building cutting-edge solutions in the FinTech domain for ...

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Showing results 1-20

Weekend Data Analyst Fintech information

See Spring, TX salary details

$30.3K

$73.5K

$121K

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

As of Sep 7, 2026, the average yearly pay for weekend data analyst fintech in Spring, TX is $73,541.00, according to ZipRecruiter salary data. Most workers in this role earn between $55,600.00 and $86,300.00 per year, depending on experience, location, and employer.

What is the difference between Weekend Data Analyst Fintech vs Weekend Data Analyst Banking?

AspectWeekend Data Analyst FintechWeekend Data Analyst Banking
Required CredentialsBachelor's in Data Science, Finance, or related field; familiarity with fintech toolsBachelor's in Finance, Economics, or related; knowledge of banking systems
Work EnvironmentStartups, online platforms, flexible hoursTraditional bank branches, financial institutions, similar flexible weekend roles
Employer & Industry UsageFintech companies, online lenders, digital payment firmsCommercial banks, retail banking, financial services

The main difference between Weekend Data Analyst Fintech and Weekend Data Analyst Banking lies in the industry focus and work environment. Fintech roles are often in innovative, digital-focused companies requiring familiarity with new financial technologies, while banking roles are within traditional financial institutions emphasizing banking systems and regulations. Both roles typically require similar data analysis skills but cater to different sectors within finance.

What cities near Spring, TX are hiring for Weekend Data Analyst Fintech jobs?

Cities near Spring, TX with the most Weekend Data Analyst Fintech job openings:

Frac Data Analyst

Corva

Houston, TX • On-site

$55 - $90/hr

Other

Re-posted 2 days ago


Job description

Mission

Corva’s mission is to accelerate the future of energy.


Values

Boldness : Corvanauts have the confidence and courage to question status quo for the products we make and the relationships we cultivate.


Own End-to-End : We take ownership of what we start and see it through to completion through trust and dependability.


Transparency : It's crucial to be open and honest and consistent with updates and data flow with customers and colleagues. We value the free-flowing of information and data to make better decisions.


Bias Action : Corvanauts don't sit still - our default mode is taking action! We make progress through high-quality iterations. Failure is built into the process and success is defined by the number of shots on goal.


About the Role

We are seeking Completions Analysts located in Houston to provide part of the 24/7 operational support for the Corva system. The Analyst ensures that each well on Corva is ready for our customers to make real-time completions decisions has a laser focus on accuracy and timeliness. The Analyst supports customers via phone and email support and proactively QCs all data and visuals on Corva.


What you'll do

  • Enter data of various types into the web-based system in a timely manner

  • Identify various types of data quality issues through regular QAQC checks and follow procedures to correct issues

  • Communicate with customers to resolve issues as needed

  • Build customer dashboards and support customers building their own dashboards

  • Ability to work remotely as needed

  • Review data and trends to ensure accuracy and completeness

  • Ensure all work is prioritized and completed correctly

  • Identify anomalies and problematic data

  • Follow communication protocols for various customers to resolve issues

  • Prepare written reports daily regarding operations and QAQC status

  • Ensure proper operation of the web-based system through continuous checks

  • Provide testing of staged systems prior to deployment onto production

  • Identify and communicate opportunities to improve efficiencies in operations

  • Develop operational procedures as needed

  • Other duties as required


Qualifications

  • Knowledge of completions systems data, including interpretation of frac and wireline data

  • Ability to work nights and weekends in a rotation (Schedule is 7 days on/7 days off, 12 hour shifts, alternate nights/days)

  • Ability to enter accurate data and prioritize workload

  • Excellent written and verbal communication skills

  • Ability to work well with teams

  • Thorough knowledge of navigating modern web sites

  • Analytical thinking skills

  • Ability to identify anomalies and problem data

  • Ability to train others and collaborate with others in a positive and effective manner

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