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Financial Data Analyst Jobs in Texas (NOW HIRING)

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... From exploratory data analysis and robust reporting to interactive dashboard development and data ...

Why GM Financial Technology Innovation isn't just a talking point at GM Financial, it's how we ... Proficiency in data analysis using SAS, Python, SQL, and large-scale data platforms such as ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

The Finance Data Architect closes that gap by owning two interconnected capabilities: building and ... Partner with FP&A, Accounting, and FinOps stakeholders to define semantic models that encode metric ...

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

Data Analyst Location (City, State): Austin, TX (On-site) Assignment Type: Contract Pay: $30-$40 ... Collaborate with teams across sales, marketing, finance, and business development to gather ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

The Financial Analyst is a critical member of the Accounting and Finance team. We are looking for a ... Production of data-backed reports to support the management team in taking strategic business ...

The Business Intelligence Data Analyst owns enterprise reporting, KPI governance, and operational ... This role partners closely with Finance, Operations, Sales, and project teams to define metrics ...

Data Analyst

Dallas, TX · On-site

$30 - $40/hr

Data Analyst Location (City, State): Austin, TX (On-site) Assignment Type: Contract Pay: $30-$40 ... Collaborate with teams across sales, marketing, finance, and business development to gather ...

Bachelor's degree in Data Analytics, Industrial Engineering, Finance, Computer Science, or related ... field. * 3+ years of experience in a manufacturing environment or with manufacturing data analytics ...

Aggregate and analyze data from multiple internal and external sources to support financial analysis. Process Improvement & Efficiency Identify opportunities to automate reporting processes and ...

Aggregate and analyze data from multiple internal and external sources to support financial ... analysis. Process Improvement amp; Efficiency Identify opportunities to automate reporting ...

You'll dive deep into data analysis and strategic modeling to support strategic decisions. You'll play a key role in negotiating and managing financial agreements within the healthcare space. You'll ...

Do you enjoy working with financial data to influence business decisions? We are looking for a skilled Financial Analyst to join our growing team! In this role, you will analyze financial performance ...

As a Data Analyst in SWBC's financial institution group, you will have the opportunity to collaborate with various data resources across the data pipeline to provide end-to-end data solutions, assist ...

Do you enjoy working with financial data to influence business decisions? We are looking for a skilled Financial Analyst to join our growing team! In this role, you will analyze financial performance ...

Showing results 21-40

Financial Data Analyst information

See Texas salary details

$32.6K

$79.6K

$132.3K

How much do financial data analyst jobs pay per year?

As of Aug 11, 2026, the average yearly pay for financial data analyst in Texas is $79,618.00, according to ZipRecruiter salary data. Most workers in this role earn between $59,200.00 and $93,600.00 per year, depending on experience, location, and employer.

What is a financial data analyst?

Financial Data Analysts are professionals who collect, process, and analyze financial data to help organizations make informed business decisions. They use statistical tools and financial modeling techniques to interpret data, identify trends, and forecast future financial performance. Their work supports budgeting, investment strategies, risk assessment, and overall financial planning. Financial Data Analysts often collaborate with other departments to provide insights that drive business growth and efficiency.

What does a financial data analyst do?

Financial data analysts examine financial records and prepare comprehensive reports for their company. These reports are used to identify the current direction of production and help managers forecast future trends. As a financial data analyst, your job duties include compiling data from the market and various departments within the company, analyze the information, and create reports for upper management. The qualifications to pursue a career as a financial data analyst include a bachelor’s degree in finance, economics, accounting, or a related field and industry experience.

Is it difficult to become a financial data analyst?

Becoming a financial data analyst typically requires a strong foundation in finance, accounting, or related fields, along with skills in data analysis tools like Excel, SQL, or Python. Gaining relevant experience and certifications such as CFA or CFA Level I can also enhance job prospects, but the difficulty varies based on individual background and effort.

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

To thrive as a Financial Data Analyst, you need strong analytical skills, a solid understanding of finance and accounting principles, and a bachelor's degree in finance, economics, or a related field. Proficiency in data analysis tools such as Excel, SQL, Python, and financial modeling software, as well as certifications like CFA or FRM, are often expected. Attention to detail, problem-solving abilities, and clear communication skills set exceptional analysts apart in interpreting and presenting complex data. These skills are vital for delivering accurate financial insights that inform business decisions and drive organizational success.

What are some common challenges financial data analysts face when communicating their findings to non-technical stakeholders?

Financial Data Analysts often encounter the challenge of translating complex quantitative data and statistical analyses into clear, actionable insights for non-technical stakeholders. This requires not only a deep understanding of financial concepts but also strong communication skills to present data visually and narratively. Bridging this gap can involve tailoring presentations, using data visualization tools, and focusing on the business implications of the analysis rather than technical details. Effective collaboration with cross-functional teams, such as finance, operations, and management, is key to ensuring that data-driven recommendations are understood and implemented.
What are the most commonly searched types of Financial Data Analyst jobs in Texas? The most popular types of Financial Data Analyst jobs in Texas are:
What cities in Texas are hiring for Financial Data Analyst jobs? Cities in Texas with the most Financial Data Analyst job openings:
What are popular job titles related to Financial Data Analyst jobs in TX? For Financial Data Analyst jobs in TX, the most frequently searched job titles are:
Infographic showing various Financial Data Analyst job openings in Texas as of August 2026, with employment types broken down into 100% Full Time. Highlights an 60% In-person, and 40% Remote job distribution, with an average salary of $79,618 per year, or $38.3 per hour.

Digital Analyst II

GM Financial

Irving, TX • On-site

Full-time

Retirement

Re-posted 19 days ago


GM Financial rating

7.9

Company rating: 7.9 out of 10

Based on 41 frontline employees who took The Breakroom Quiz

75th of 171 rated vehicle equipment hire


Job description


Why GM Financial Technology
Innovation isn't just a talking point at GM Financial, it's how we operate. From generative AI and cloud-native technologies to peer-led learning and hackathons, our tech teams are building real solutions that make a difference. We're committed to AI-powered transformation, using advanced machine learning and automation to help us reimagine customer interactions and modernize operations, positioning GM Financial as a leader in digital innovation within a dynamic industry.
Join us and discover a workplace where your ideas matter, your development is prioritized, and you can truly make a global impact.
Responsibilities
Sponsorship Notice: At this time, we are unable to offer employment sponsorship for this position. This includes, but is not limited to, H-1B, TN, L1, and OPT visa types.
About the role:
Digital Marketing Analyst II is responsible for supporting data-driven decision-making across the enterprise. In this role, you will collaborate with diverse business units and stakeholders to understand their goals, establish key performance indicators (KPIs), and deliver insightful analyses. You will leverage a tool-agnostic approach - utilizing various data platforms (such as SAS, Databricks), programming languages like SQL, Python, and business intelligence tools like Power BI, Tableau- to gather, analyze, and visualize data. From exploratory data analysis and robust reporting to interactive dashboard development and data quality validation, you will play a critical role in transforming complex data into clear, actionable insights that drive strategic business decisions. While descriptive and diagnostic analytics (reporting and trend analysis) are the core focus of this position, you will also assist in predictive and prescriptive analytics projects (including basic modeling and forecasting) as a supporting function to enhance the depth of insights provided to stakeholders.
In this role you will:
  • Collaborate with cross-functional stakeholders to understand business needs, define KPIs, and align analytics deliverables with organizational goals.
  • Perform exploratory data analysis using SAS, Databricks, and Python to identify trends, patterns, and insights across enterprise data sources.
  • Design, build, and maintain reports and interactive dashboards in Power BI to track performance and support decision-making.
  • Validate data accuracy and integrity by identifying discrepancies and partnering with technical teams to resolve data quality issues.
  • Translate analytical findings into clear, actionable insights through concise storytelling, presentations, and written summaries.
  • Manage multiple analytics projects simultaneously while adapting to changing priorities and stakeholder requirements.
  • Support experimentation and testing (A/B, multivariate, etc.)

Qualifications
What makes you an ideal candidate?
  • Proficiency in data analysis using SAS, Python, SQL, and large-scale data platforms such as Databricks.
  • Experience building reports and interactive dashboards using Power BI or comparable business intelligence tools.
  • Strong understanding of data validation, data quality management, and consistent KPI definitions.
  • Ability to translate complex analyses into clear, actionable insights through effective data storytelling.
  • Strong critical thinking and problem-solving skills that connect analytical results to business decisions.
  • Effective written and verbal communication skills with the ability to engage stakeholders at varying levels of data literacy.
  • Ability to manage multiple priorities in a fast-paced, cross-functional environment.

Education & Work Experience
  • 3-5 years of relevant professional experience in data analytics, business intelligence, or a related analytical role required.
  • 2-4 years of hands-on experience using analytics tools and technologies such as SAS, Python, Databricks, and Power BI required.
  • Demonstrated experience supporting cross-functional stakeholders with data analysis, reporting, and decision support.
  • High School Diploma or equivalent required
  • Bachelor's Degree in Marketing, Economics, Business Administration, Statistics, or other quantitative discipline; or equivalent work experience required
  • Master's Degree in a quantitative discipline preferred

Additional Knowledge and Skills
Working effectively within an AI enabled environment:
  • Ability to use AI tools (e.g., Microsoft Copilot) to support daily work
  • Skills in evaluating AI outputs for accuracy, compliance, and bias
  • Experience integrating AI into workflows to improve efficiency or insights
  • Familiarity with AI assisted research, summarization, and content generation
  • Understanding of responsible AI use, including ethics and data protection

AI Skills Preferred:
  • Experience with AI assisted software development or automation
  • Knowledge of prompting techniques to improve output quality
  • Awareness of emerging GenAI capabilities and limitations

What We Offer: Generous benefits package available on day one to include: 401K matching, bonding leave for new parents (12 weeks, 100% paid), tuition assistance, training, GM employee auto discount, community service pay and nine company holidays.
Our Culture: Our team members define and shape our culture - an environment that welcomes innovative ideas, fosters integrity, and creates a sense of community and belonging. Here we do more than work - we thrive.
Compensation: Competitive pay and bonus eligibility.
Work Life Balance: Hybrid work environment, 2-days a week in office.
NOTE: We are unable to consider candidates who require visa sponsorship for this position
This position is not open to agency submissions
#GMFJobs #LI-Hybrid #LI-KT1

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