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Remote Financial Data Analyst Jobs in Seguin, TX

Snowflake Data Engineering Consultant

San Antonio, TX · On-site +1

$103K - $124K/yr

We are seeking an experienced Analytics/Data Engineer with strong expertise in Snowflake, SQL, dbt, Python, and dimensional data modeling, specializing in transforming complex banking and financial ...

Financial Analyst Lead

San Antonio, TX · On-site +1

$127K - $243K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Advanced Excel skills and experience working with complex data. * Experience in the application and ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... USAA has an effective process for assessing market data and establishing ranges to ensure we remain ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... support data and control testing. As a member of the Holding Company & Subsidiary Regulatory ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... support data and control testing. As a member of the Holding Company & Subsidiary Regulatory ...

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business ...

Decision Science Analyst Senior

San Antonio, TX · On-site +1

$79K - $105K/yr

USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with ... Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business ...

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Showing results 1-20

Remote Financial Data Analyst information

See Seguin, TX salary details

$31.1K

$76K

$126.2K

How much do remote financial data analyst jobs pay per year?

As of Sep 1, 2026, the average yearly pay for remote financial data analyst in Seguin, TX is $75,969.00, according to ZipRecruiter salary data. Most workers in this role earn between $56,400.00 and $89,300.00 per year, depending on experience, location, and employer.

What is a remote financial data analyst?

A Remote Financial Data Analyst is a professional who works from a location outside of a traditional office, analyzing and interpreting financial data to help organizations make informed decisions. They use various tools and software to collect, process, and present data related to budgets, investments, and financial trends. Their insights support business planning, risk management, and strategic growth. Remote Financial Data Analysts often collaborate with teams through virtual meetings and digital platforms, allowing them to work flexibly from anywhere with an internet connection.

How does a remote financial data analyst typically collaborate with team members and stakeholders across different locations?

As a Remote Financial Data Analyst, collaboration is often facilitated through digital communication tools such as video conferencing, instant messaging, and shared dashboards. You’ll regularly participate in virtual meetings to discuss data findings with finance teams, business leaders, and other analysts. Clear documentation and frequent updates are key, as is the ability to translate complex financial data into actionable insights for non-technical stakeholders. Building strong remote relationships and proactively communicating progress help ensure projects stay aligned and deadlines are met, even when working from different time zones.

What are the key skills and qualifications needed to thrive as a remote financial data analyst, and why are they important?

To thrive as a Remote Financial Data Analyst, you need strong analytical abilities, proficiency in finance and statistics, and a relevant degree such as finance, economics, or mathematics. Expertise in tools like Excel, SQL, Python, and familiarity with business intelligence platforms such as Tableau or Power BI, plus relevant certifications (e.g., CFA or FMVA), are typically required. Excellent communication, self-motivation, and time management are vital soft skills for collaborating virtually and delivering insights independently. These skills ensure accurate data analysis, effective remote teamwork, and actionable financial recommendations for business success.

What is the difference between Remote Financial Data Analyst vs Remote Financial Analyst?

AspectRemote Financial Data AnalystRemote Financial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in data analysis toolsBachelor's in Finance, Economics, or related; strong analytical skills
Work EnvironmentPrimarily data analysis, reporting, and modelingFinancial planning, reporting, and advising
Employer & Industry UsageFinancial services, investment firms, corporationsBanking, investment firms, corporate finance
Common Search & ComparisonFocuses on data analysis and modelingFocuses on financial advising and strategy

The main difference is that a Remote Financial Data Analyst specializes in analyzing financial data, creating models, and generating reports, while a Remote Financial Analyst focuses more on financial planning, advising, and strategy. Both roles require similar educational backgrounds but differ in daily tasks and focus areas.

What are popular job titles related to Remote Financial Data Analyst jobs in Seguin, TX?

For Remote Financial Data Analyst jobs in Seguin, TX, the most frequently searched job titles are:

What job categories do people searching Remote Financial Data Analyst jobs in Seguin, TX look for?

The top searched job categories for Remote Financial Data Analyst jobs in Seguin, TX are:

What cities near Seguin, TX are hiring for Remote Financial Data Analyst jobs?

Cities near Seguin, TX with the most Remote Financial Data Analyst job openings:

Infographic showing various Remote Financial Data Analyst job openings in Seguin, TX as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $75,969 per year, or $36.5 per hour.

Decision Science Analyst Senior - Life Company Data and Analytics - Paid Media Performance Analys...

San Antonio, TX • On-site, Remote


USAA
Finance and Insurance • 10K+ employees

8.2

Company rating: 8.2 out of 10

Based on 265 frontline employees who took The Breakroom Quiz

52nd of 174 rated banks

People enjoy working here

Good employer

Recommended by students


$77K - $97K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 14 days ago


Job description

Why USAA?

At USAA, our mission is to empower our members to achieve financial security through highly competitive products, exceptional service and trusted advice. We seek to be the #1 choice for the military community and their families.

Embrace a fulfilling career at USAA, where our core values - honesty, integrity, loyalty and service - define how we treat each other and our members. Be part of what truly makes us special and impactful.

We are proud to support active-duty military spouses. USAA roles may offer remote or hybrid flexibility for active-duty military spouses consistent with applicable policy and business needs.

The Opportunity

USAA is looking for an experienced Decision Science Analyst Senior to join the Life Company Data and Analytics team. USAA Life Company is looking to build on its foundation of exceptional service to grow and serve more members. This role will play a critical part in that growth by delivering actionable insights and optimization recommendations across Paid Social, Paid Search, and emerging AI-powered search experiences. The ideal candidate combines strong SQL and Python skills with hands-on experience analyzing paid media performance, audience segmentation, and conducting incrementality testing that improve engagement and acquisition. This individual will leverage advanced analytics, data visualization, and storytelling to connect marketing investments to business outcomes while partnering closely with the channel managers, product marketers, and campaign analysts to drive measurable growth.

This role provides decision support for business areas across the association. This will be responsible for applying mathematical and statistical techniques and/or innovative /quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer business objectives and drive change. The essence of work performed by the Decision Science Analyst involves gathering, manipulating and synthesizing data (e.g., attributes, transactions, behaviors, etc.), models and other relevant information to draw conclusions and make recommendations resulting in implementable strategies.

We offer a flexible work environment that requires an individual to be in the office 4 days per week. This position will be based on the San Antonio, TX; Charlotte, NC; or Plano, TX. campus. Relocation assistance is not available for this position.


What you'll do:

  • Leverages advanced business, analytical and technical knowledge to participate or lead discussions with cross functional teams to understand and collaborate highly complex business objectives and influence solution strategies.

  • Applies advanced analytical techniques to solve business problems that are typically medium to large scale with significant impact to current and/or future business strategy.

  • Applies innovative and scientific/quantitative analytical approaches to draw conclusions and make 'insight to action' recommendations to answer the business objective and drive the appropriate change.

  • Translates recommendation into communication materials to effectively present to various levels of management.

  • Incorporates visualization techniques to support the relevant points of the analysis and ease the understanding for less technical audiences.

  • Identifies and gathers the relevant and quality data sources required to fully answer and address the problem for the recommended strategy through testing or exploratory data analysis (EDA).

  • Integrates/transforms disparate data sources and determines the appropriate data hygiene techniques to apply.

  • Thoroughly documents assumptions, methodology, validation and testing to facilitate peer reviews and compliance requirements.

  • Understands and adopts emerging technology that can affect the application of scientific methodologies and/or quantitative analytical approaches to problem resolutions.

  • Succinctly delivers analysis/findings in a manner that conveys understanding, influences various levels of management, garners support for recommendations, drives business decisions, and influences business strategy.

  • Provides subject matter expertise in operationalizing recommendations.

  • Remains informed on current data and analytics trends, (Ex: Cloud, Data Mining, Python, Neural Networks, Sensor data, IoT, Streaming/NRT data).

  • Identifies opportunities to continue to learn in the data and analytics space, whether informal (e.g., Coursera, Udemy, Kaggle, Code Up, etc.) or formal (e.g. Certifications or advanced coursework).

  • Ensure risks associated with business activities are effectively identified, measured, monitored, and controlled in accordance with risk and compliance policies and procedures.

What you have:

  • Bachelor's degree in Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science, or a business or quantitative field OR 4 years of relevant education and/or experience (in addition to the minimum years of experience required) may be substituted in lieu of degree. (Total of 10 years of experience without bachelor's degree)

  • 6 years of data & analytics experience OR a minimum of 4 years of data & analytics experience and up to 2 years of progressive functional business relevant experience within the respective industry of responsibility (i.e. Life Insurance, Marketing etc.) for a total of 6 years combined experience OR Advanced degree in quantitative analytics field such as Economics, Finance, Statistics, Mathematics, Actuarial Sciences, Operations Research, Data and/or Business Analysis, Data Science or other quantitative discipline and 4 years of experience in data/analytics or functional business experience within the respective industry of responsibility (i.e. Life Insurance, Marketing, etc.).

  • Demonstrates advanced skills in mathematical and statistical techniques and approaches used to drive fact-based decision-making.

  • Advanced knowledge of data analysis tools, data visualization, developing analysis queries and procedures in SQL, SAS, BI tools or other analysis software, and relevant industry data & methods and ability to connect external insights to business problems.

  • Experience with new and emerging data sets, and incorporation (data wrangling, data munging) into new insights.

What sets you apart:

  • US military experience through military service or a military spouse/domestic partner.

  • 5+ years of experienceusing SQL and Python to analyze data, develop insights, and support marketing decision-making.

  • 3+ years of experienceoptimizing paid social campaigns through audience targeting, bidding strategies, budget management, retargeting, and performance analysis.

  • 3+ years of experienceoptimizing paid search campaigns through keyword strategy, query analysis, bidding, and customer acquisition performance measurement.

  • Knowledge of AI-powered search and Answer Engine Optimization (AEO), including emerging search behaviors and opportunities to improve brand visibility and consumer intent capture.

  • Experience with audience segmentation, creative testing, and influencer/creator performance analysis, translating insights into actionable recommendations.

  • Experience with experimentation and measurement, including A/B testing, incrementality studies, and control vs. test frameworks to evaluate marketing effectiveness.

  • Strong analytics, data visualization, and storytelling skills, with the ability to connect paid media performance to website engagement and conversion outcomes. Familiarity with Meta Ads Manager, Adobe Analytics, Google Ads, Bing Ads, SA360, Floodlight tags, and attribution tools.

Compensation range: The salary range for this position is: $114,080 - $218,030

USAA does not provide visa sponsorship for this role. Please do not apply for this role if at any time (now or in the future) you will need immigration support (i.e., H-1B, TN, STEM OPT Training Plans, etc.).

Compensation: USAA has an effective process for assessing market data and establishing ranges to ensure we remain competitive. You are paid within the salary range based on your experience and market data of the position. The actual salary for this role may vary by location.

Employees may be eligible for pay incentives based on overall corporate and individual performance and at the discretion of the USAA Board of Directors.

The above description reflects the details considered necessary to describe the principal functions of the job and should not be construed as a detailed description of all the work requirements that may be performed in the job.

Benefits: At USAA our employees enjoy best-in-class benefits to support their physical, financial, and emotional wellness. These benefits include comprehensive medical, dental and vision plans, 401(k), pension, life insurance, parental benefits, adoption assistance, paid time off program with paid holidays plus 16 paid volunteer hours, and various wellness programs. Additionally, our career path planning and continuing education assists employees with their professional goals.

For more details on our outstanding benefits, visit our benefits page on USAAjobs.com.

Applications for this position are accepted on an ongoing basis, this posting will remain open until the position is filled. Thus, interested candidates are encouraged to apply the same day they view this posting.

USAA is an Equal Opportunity Employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.



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