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Data Analyst Finance Jobs in Texas (NOW HIRING)

Data Analyst

Waco, TX ยท On-site

$70K/yr

Analyze trends, variances, KPIs, inventory data, financial data, operational data, purchasing data, sales data, and other business metrics. * Partner with accounting, operations, purchasing ...

Data Analyst

Dallas, TX ยท On-site

Bachelor's degree in Computer Science, Engineering, Finance, Economics, Data Analytics, Information Systems , or a related field. * Experience in Data Analysis, Business Intelligence, Risk Analytics ...

Job Summary : LP Analyst is a leading independent private asset cloud-based analytics and ... and delivery of financial data to clients. Responsibilities : โ€ข Support the build-out and ...

Senior Data Analyst

Plano, TX ยท On-site

$82K - $104K/yr

This role involves extracting and analyzing financial datasets to provide actionable insights for ... Required : โ€ข 3+ years of experience as a Data Analyst, preferably in the financial services ...

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 ยท 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 ...

Automation Analyst (Finance) Duration: Initially 6 months contract Location: Houston, TX Schedule ... Document current processes, data flows, and dependencies, and produce a prioritised roadmap for ...

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

Houston, TX ยท On-site

$85 - $110/hr

This role partners closely with Finance, Operations, Sales, and project teams to define metrics ... Bachelor's degree in Business Analytics, Data Analytics, Information Systems, Computer Science ...

Data Analyst

Dallas, TX ยท On-site

Bachelor's degree in Analytics, Business, Finance, Computer Science, or related field * 2-4 years of experience in data analysis or business intelligence * Experience working with cross-functional ...

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 ยท On-site

Bachelor's degree in Analytics, Business, Finance, Computer Science, or related field * 2-4 years of experience in data analysis or business intelligence * Experience working with cross-functional ...

Data Analyst

Dallas, TX ยท 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 ...

Data Analyst

Dallas, TX ยท On-site

Bachelor's degree in Analytics, Business, Finance, Computer Science, or related field * 2-4 years of experience in data analysis or business intelligence * Experience working with cross-functional ...

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 ...

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Showing results 1-20

Data Analyst Finance information

See Texas salary details

$32.6K

$79.6K

$132.3K

How much do data analyst finance jobs pay per year?

As of Aug 28, 2026, the average yearly pay for data analyst finance 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 does a data analyst in finance do?

A Data Analyst in Finance collects, processes, and analyzes financial data to help organizations make informed business decisions. They work with large datasets to identify trends, forecast financial outcomes, and create reports or dashboards for stakeholders. Their responsibilities often include cleaning data, performing statistical analysis, and visualizing results to support budgeting, investment strategies, and risk management. They play a key role in ensuring financial data accuracy and providing actionable insights that drive company performance.

What are the key skills and qualifications needed to thrive as a data analyst in finance?

To thrive as a Data Analyst in Finance, you need strong analytical skills, a solid understanding of financial concepts, and proficiency in data interpretation, typically supported by a degree in finance, statistics, or a related field. Familiarity with tools such as Excel, SQL, and data visualization software like Tableau or Power BI, as well as knowledge of financial modeling and relevant certifications (e.g., CFA, FRM), is highly valuable. Attention to detail, problem-solving, and effective communication are essential soft skills for translating complex data into actionable insights for stakeholders. These abilities ensure accurate financial analysis, support strategic decision-making, and enhance organizational performance in a data-driven financial environment.

How does a data analyst in finance typically collaborate with other departments within an organization?

A Data Analyst in Finance often works closely with teams such as accounting, operations, and business strategy to gather relevant data and provide insights that influence key financial decisions. Collaboration may include participating in cross-functional meetings to understand data needs, sharing financial reports with stakeholders, and supporting budgeting or forecasting processes. Effective communication is essential, as data analysts must translate complex data findings into actionable recommendations for both technical and non-technical colleagues. This collaborative environment helps ensure that financial strategies are data-driven and aligned with organizational goals.

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

AspectData Analyst FinanceFinancial Analyst
Required CredentialsBachelor's in Finance, Economics, or related; proficiency in Excel, SQL, data visualization toolsBachelor's in Finance, Economics, or related; often CFA or CPA certifications
Work EnvironmentFinancial institutions, corporate finance departments, investment firmsBanking, investment firms, corporate finance, consulting
Primary FocusAnalyzing financial data, creating reports, supporting decision-makingForecasting, valuation, investment analysis, financial planning

While both roles analyze financial data, Data Analyst Finance primarily focuses on data collection, visualization, and supporting operational decisions. Financial Analysts often engage in forecasting, valuation, and investment strategies. The roles overlap in skills and industry settings but differ in scope and specific responsibilities.

Can a data analyst work in finance?

Yes, a data analyst can work in finance by analyzing financial data, creating reports, and supporting decision-making processes. Skills in Excel, SQL, and data visualization tools are commonly used in finance roles for data analysis tasks.

What cities in Texas are hiring for Data Analyst Finance jobs?

Cities in Texas with the most Data Analyst Finance job openings:

Infographic showing various Data Analyst Finance job openings in Texas as of August 2026, with employment types broken down into 1% As Needed, 83% Full Time, 11% Part Time, 4% Contract, and 1% Nights. Highlights an 84% Physical, 4% Hybrid, and 12% Remote job distribution, with an average salary of $79,618 per year, or $38.3 per hour.

Senior Finance Data Analyst - FP&A & BPM Validation

Dallas, TX โ€ข On-site

Other

Posted 9 days ago


Job description

Role: Senior Data Analyst โ€“ Finance / Planning (BPM)
Location: Dallas, TX or Bellevue, WA
Contract

Must have Skills โ€“ Data Analyst, FP&A/ BPM

Skill 1 โ€“ 7Yrs of Exp โ€“ Data Analysis, FP&A, BPM, Quality and Validation

Skill 2 โ€“ 7Yrs of Exp โ€“ SQL, Databricks, Oracle

Skill 3 โ€“ 5Yrs of Exp in Finance Domain

Job Description:We are seeking a Senior Data Analyst to support a critical finance transformation initiative by ensuring data accuracy, completeness, and readinessโ€”especially for the FP&A / Planning (BPM) workstream.
The organization is implementing planning modules (Oracle BPM / EDM / EBPCS) and will feed data from upstream platforms such as Snowflake / Databricks into these systems. This role will focus on vetting and validating upstream and downstream data, performing analysis to ensure correctness, and partnering closely with the Data Architect to support the RDMP platform goals. This role requires someone senior who can ask the right questions, challenge assumptions, investigate upstream issues, and ensure data truly solves the business problem (single source of truth for finance).
Key ResponsibilitiesPerform data validation and vetting for FP&A/Planning use cases:
Validate upstream datasets feeding Oracle planning modules (BPM/EDM/EBPCS)
Identify mismatches, quality gaps, reconciliation issues, and root causes
Conduct data analysis to ensure accuracy and consistency across domains:
Compare finance outputs across systems to prevent multiple answers to key metrics (e.g., revenue)
Build and execute data quality checks and validation routines:
Completeness, accuracy, timeliness, and business rule conformance
Work closely with the Data Architect to support RDMP platform build:
Provide insights on source data issues and domain definitions
Support lineage/quality requirements and documentation
Collaborate with FP&A partners and domain stakeholders:
Translate business expectations into validation rules and test cases
Ensure the data being delivered aligns to real business outcomes
Investigate upstream issues and coordinate with data engineering teams to fix defects quickly.
Maintain documentation on data definitions, validation steps, findings, and remediation status.

Required Qualifications7โ€“10+ years of experience as a Data Analyst / Senior Data Analyst in enterprise data environments.
Strong experience in data analysis and validation using:
SQL and analytical techniques
Data profiling and reconciliation across multiple sources
Strong hands-on exposure to:
Snowflake
Databricks
Azure ecosystem (data services understanding)

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