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Entry Level Financial Data Analyst Jobs in Oklahoma

Dental Depot

Data Analyst

Oklahoma City, OK · On-site

Bachelor's degree (four-year college) in a related field preferred (e.g., Information Systems, Computer Science, Data Analytics, Finance, or similar). Experience: 2+ years of experience in data ...

ONEOK, Inc

AI Analyst

Tulsa, OK

... Finance, Business Administration, or other related field with specific job-related experience as follows: Required Experience * Minimum 3 years in an analytical role (e.g., operations analyst, data ...

Oneok, Inc.

AI Analyst

Tulsa, OK · On-site

... Finance, Business Administration, or other related field with specific job-related experience as follows: Required Experience * Minimum 3 years in an analytical role (e.g., operations analyst, data ...

Hartwig Staffing

Financial Analyst

Oklahoma City, OK

$65K - $90K/yr

Hartwig Staffing has partnered with a local company that is looking to add a Financial Analyst to ... Research and resolve data and provide recommendations for process improvements * Knowledge of and ...

BLACKHAWK INDUSTRIAL OPERATING CO

Financial Analyst

Tulsa, OK · On-site

$65K - $80K/yr

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

Prepares data as required for financial forecasts and budgets accurately by the due dates specified * Performs special projects by due dates specified as requested by management QUALIFICATIONS:

Cherokee Federal

Financial Analyst

Tulsa, OK · On-site

  • Medical

  • Dental

  • Vision

  • Retirement

Focus on data gathering, basic analysis, and report preparation. Work under close supervision and contribute to the accuracy and timeliness of financial information. Compensation & Benefits:

Cni

Financial Analyst

Oklahoma City, OK · On-site

  • Medical

  • Dental

  • Vision

  • Life

  • Retirement

  • PTO

SUMMARY A Financial Analyst is a professional who analyzes financial data, prepares reports, and provides insights and recommendations to support decision-making within an organization. Plays a role ...

Groendyke Transport

Data Platform Analyst

Enid, OK

  • Medical

  • Retirement

  • PTO

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making by creating dependable datasets, metrics, and pipelines. This role works closely with teams across ...

Groendyke Transport, Inc.

Data Platform Analyst

Enid, OK · On-site +1

  • Medical

  • Retirement

  • PTO

Data Platform Analyst The Data Platform Analyst supports operational and financial decision-making by creating dependable datasets, metrics, and pipelines. This role works closely with teams across ...

LinQ Global

IT Project Financial Analyst II

Tulsa, OK

$55/hr

Job Title: IT Project Financial Analyst Location: Tulsa, OK 74172 Duration: 6 Months Summary As an ... Maintain financial reports, dashboards, and supporting documentation to uphold data integrity and ...

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All JobsFinancial Data Analyst JobsEntry Level Financial Data Analyst JobsEntry Level Financial Data Analyst Jobs in Oklahoma

Entry Level Financial Data Analyst information

See Oklahoma salary details

$32.3K

$78.9K

$131.1K

How much do entry level financial data analyst jobs pay per year?

As of Aug 15, 2026, the average yearly pay for entry level financial data analyst in Oklahoma is $78,907.00, according to ZipRecruiter salary data. Most workers in this role earn between $58,600.00 and $92,800.00 per year, depending on experience, location, and employer.

What are the key skills and qualifications needed to thrive as an entry level financial data analyst?

To thrive as an Entry Level Financial Data Analyst, you generally need strong analytical skills, a solid understanding of finance and statistics, and at least a bachelor's degree in finance, economics, or a related field. Proficiency with Excel, SQL, and data visualization tools like Tableau or Power BI is commonly required, and knowledge of programming languages such as Python or R is advantageous. Attention to detail, problem-solving abilities, and effective communication are essential soft skills that help you interpret data accurately and present findings clearly. These skills and qualities enable analysts to deliver actionable insights, support business decisions, and contribute to the organization’s financial success.

What are typical challenges faced by entry level financial data analysts when transitioning from academic work to professional environments?

Entry-level financial data analysts often encounter challenges such as adjusting to fast-paced environments, working with large and sometimes unstructured datasets, and adhering to strict deadlines. Unlike academic projects, professional analysis frequently requires collaboration with cross-functional teams, which means communicating complex findings to non-technical stakeholders. Additionally, learning to use industry-standard tools and adapting to the company's data reporting processes can take time, but support from managers and team members helps ease this transition.

What is the difference between Entry Level Financial Data Analyst vs Financial Analyst?

AspectEntry Level Financial Data AnalystFinancial Analyst
Required CredentialsBachelor's degree in finance, accounting, or related field; basic Excel and data analysis skillsBachelor's degree; often requires 1-3 years of experience; advanced Excel, financial modeling, and possibly certifications like CFA
Work EnvironmentEntry-level roles in finance departments, data teams, or consulting firms; focus on data collection and reportingMore analytical responsibilities, strategic planning, and decision support in finance departments or investment firms
Employer & Industry UsageCommon in finance, banking, and corporate sectors for entry-level data tasksUsed across finance, investment banking, asset management, and corporate finance for analysis and forecasting

In summary, an Entry Level Financial Data Analyst focuses on data collection and basic analysis with minimal experience, while a Financial Analyst typically has more experience and handles complex financial modeling and strategic analysis.

What does an entry level financial data analyst do?

An Entry Level Financial Data Analyst is responsible for collecting, processing, and analyzing financial data to help organizations make informed business decisions. They typically work with large datasets, prepare reports, and use statistical tools to identify trends and patterns. Their work supports budgeting, forecasting, and investment strategies, often under the supervision of senior analysts. This role is a great starting point for those interested in finance and data analysis, providing valuable experience with analytical software and financial modeling.

What are the most commonly searched types of Financial Data Analyst jobs in Oklahoma?

The most popular types of Financial Data Analyst jobs in Oklahoma are:

What are popular job titles related to Entry Level Financial Data Analyst jobs in Oklahoma?

For Entry Level Financial Data Analyst jobs in Oklahoma, the most frequently searched job titles are:

What job categories do people searching Entry Level Financial Data Analyst jobs in Oklahoma look for?

The top searched job categories for Entry Level Financial Data Analyst jobs in Oklahoma are:

What cities in Oklahoma are hiring for Entry Level Financial Data Analyst jobs?

Cities in Oklahoma with the most Entry Level Financial Data Analyst job openings:

Entry Level Financial Data Analyst jobs near you

Data Analyst

Dental Depot

Oklahoma City, OK • On-site

Full-time

Re-posted 28 days ago

Job description

DATA ANALYST
POSITION SUMMARY
THIS POSITION IS IN STATE, IN OKLAHOMA CITY. IT IS NOT A REMOTE POSITION.
Primary responsibility for hands-on analytic reporting, data infrastructure support, and development within the organization's reporting platform (DDI). This position reports directly to the Senior Business Intelligence Engineer and supports the Business Intelligence team in executing reporting, database, and data integration workstreams, including report development, data modeling, and system optimization.
This is an execution-focused role responsible for building, maintaining, and improving reporting outputs and underlying data structures. The position emphasizes technical competency, attention to detail, and the ability to produce accurate work within established systems and processes.
ESSENTIAL FUNCTIONS
To accomplish this job successfully, an individual must be able to perform, with or without reasonable accommodation, each essential function satisfactorily. Reasonable accommodation may be made to help enable qualified individuals with disabilities to perform the essential functions.
  • Support the Business Intelligence team in building, maintaining, and optimizing Power BI dashboards and reports within the company reporting platform (DDI).
  • Write and modify SQL queries to support reporting, data extraction, validation, and troubleshooting.
  • Work with relational datasets, including joining multiple tables and validating outputs for accuracy and consistency.
  • Assist in the development and maintenance of data pipelines, transformations, and structured datasets within Snowflake or similar environments.
  • Execute data preparation, cleansing, and validation processes to ensure data integrity across reports and systems.
  • Troubleshoot reporting and data issues, identifying root causes and resolving issues without introducing downstream errors.
  • Follow established development standards, naming conventions, and documentation practices.
  • Assist in automating recurring reporting processes and improving workflow efficiency.
  • Work directly with internal stakeholders to gather report requirements, clarify objectives, and ensure alignment with business needs.
  • Document report logic, data definitions, and technical processes clearly and consistently.
  • Perform routine audits of reports and datasets to identify discrepancies, inconsistencies, or performance issues.
  • Support testing, validation, and deployment of new or updated reports and data processes.

skills and ability
Adaptability - Ability to adapt to change in the workplace and adjust to evolving business needs and priorities.
Organized - Possesses strong organizational skills and follows structured processes in completing work.
Detail Oriented - Demonstrates a high level of attention to detail and accuracy in all deliverables.
Analytical Skills - Ability to apply structured thinking and logical reasoning to technical and data-related problems.
Accuracy - Ability to perform work accurately and thoroughly, validating outputs before delivery.
Communication Skills - Ability to communicate clearly and effectively when gathering requirements, reporting issues, and providing updates.
Cross-Functional Collaboration - Ability to work effectively with internal stakeholders across departments to support reporting needs.
Problem Solving - Ability to troubleshoot issues independently and propose multiple potential solutions prior to escalation.
Technical Aptitude - Demonstrates a strong foundational understanding of data structures, reporting tools, and technical systems.
Accountability - Takes ownership of assigned work and follows through to completion with minimal oversight.
Work Ethic - Demonstrates reliability, urgency, and a consistent commitment to producing high-quality work.
WORK ENVIRONMENT
While performing the duties of this job, the employee is occasionally exposed to toxic or caustic chemicals, body fluids, blood borne pathogens, and the risk of radiation. The noise level is usually moderate. As the dental practice is heavily dependent on scheduling, the general environment can become hectic at times. Therefore, the employee must be able to handle effectively the normal anxieties associated with the job.
EDUCATION, EXPERIENCE & TECHNICAL SKILLS
Education:
Bachelor's degree (four-year college) in a related field preferred (e.g., Information Systems, Computer Science, Data Analytics, Finance, or similar).
Experience:
2+ years of experience in data analytics, reporting, or related technical roles (internships, academic projects, or hands-on experience acceptable).
Experience working with structured datasets and reporting tools required.
Certifications & Licenses:
Microsoft Office Specialist Excel/Power Platform Expert Certification
Computer Skills:
  • Microsoft Suite of Services (Excel, Teams, Outlook, PowerPoint, Power BI)
  • SQL (required - ability to write queries involving joins, aggregations, and data validation)
  • Snowflake or similar cloud data platforms (preferred)
  • Familiarity with ETL/ELT processes and data pipeline concepts
  • Familiarity with AI-assisted tools (e.g., ChatGPT, Copilot) to support workflow efficiency and technical problem solving

PROFESSIONAL & BUSINESS Skills:
  • Ability to follow established processes and technical standards with consistency
  • Strong attention to detail in data handling, validation, and reporting outputs
  • Ability to manage multiple tasks and meet deadlines in a structured environment
  • Willingness to learn and develop technical skills on the job
  • Ability to approach problems methodically and avoid making unsupported assumptions
  • Clear written and verbal communication for task updates, issue identification, and resolution
  • Ability to work independently while aligning with team direction and priorities

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