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Accounting Data Analytics Jobs (NOW HIRING)

We help clients tackle complex challenges across accounting, financial reporting, transactions, regulatory compliance, digital transformation, and data analytics. We blend deep technical expertise ...

Familiarity with financial and accounting data, time-series data, macroeconomic analysis or economic indicator development * Experience with distributed data frameworks like Hadoop and Spark to write ...

Accounting Specialist

Honolulu, HI · On-site

$24 - $26/hr

Analytical skills to evaluate, prioritize, and categorize data in various forms and formats. * Perform calculations and analysis used in basic accounting. * Basic knowledge in proper accounting ...

We help clients tackle complex challenges across accounting, financial reporting, transactions, regulatory compliance, digital transformation, and data analytics. We blend deep technical expertise ...

Familiarity with financial and accounting data, time-series data, macroeconomic analysis or economic indicator development * Experience with distributed data frameworks like Hadoop and Spark to write ...

Accounting Specialist

Honolulu, HI · On-site

$24 - $26/hr

Manage various forms of accounting data, such as that related to accounts payable and accounts receivable. Other duties as assigned. Pay Range:$24.00 - $26.00 Analytical skills to evaluate ...

Analyze accounting data to identify trends, inefficiencies, and opportunities for improvement. Review large data set transactions, exceptions, and reports to ensure accuracy, compliance, and ...

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Accounting Data Analytics information

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How much do accounting data analytics jobs pay per hour?

As of Jul 10, 2026, the average hourly pay for accounting data analytics in the United States is $20.63, according to ZipRecruiter salary data. Most workers in this role earn between $17.79 and $22.84 per hour, depending on experience, location, and employer.

What does an accounting data analyst do?

An accounting data analyst collects, processes, and analyzes financial data to identify trends, discrepancies, and insights that support decision-making. They use tools like Excel, SQL, and data visualization software to create reports and ensure data accuracy, often working closely with accounting and finance teams. Strong analytical skills and understanding of accounting principles are essential for this role.

What are the key skills and qualifications needed to thrive in Accounting Data Analytics, and why are they important?

To thrive in Accounting Data Analytics, you need a solid background in accounting principles, data analysis, and statistics, often supported by a degree in accounting, finance, or data analytics. Proficiency in tools such as Microsoft Excel, SQL, data visualization platforms (like Power BI or Tableau), and familiarity with ERP systems are typically required, along with relevant certifications like CPA or CISA. Strong problem-solving, attention to detail, and effective communication skills set top performers apart in this field. These competencies are crucial for translating complex financial data into actionable insights, supporting strategic decision-making, and ensuring data accuracy and compliance.

What is the difference between Accounting Data Analytics vs Bookkeeper?

AspectAccounting Data AnalyticsBookkeeper
CredentialsTypically requires a degree in accounting, finance, or data analytics; certifications like CPA or CMA are commonHigh school diploma or equivalent; some may have bookkeeping certifications
Work EnvironmentOften in finance departments, consulting firms, or data analysis teamsUsually in small to medium-sized businesses, handling daily financial record-keeping
Job FocusAnalyzing financial data, generating insights, supporting strategic decisionsRecording transactions, maintaining ledgers, reconciling accounts
Tools UsedData analysis software, Excel, SQL, BI toolsAccounting software like QuickBooks, Excel

Accounting Data Analytics and Bookkeeping roles differ mainly in scope and focus. While bookkeepers handle daily transaction recording, accounting data analysts interpret financial data to inform strategic decisions. Both roles are essential in the finance industry but require different skill sets and levels of analysis.

Can an accountant do data analytics?

Yes, accountants can perform data analytics as part of their role, using tools like Excel, SQL, and data visualization software to analyze financial data, identify trends, and support decision-making. Developing skills in data analysis enhances an accountant's ability to provide deeper insights beyond traditional bookkeeping tasks.

Can you make $500,000 a year as an accountant?

Accounting data analytics professionals typically do not earn $500,000 annually; such high salaries are rare and usually reserved for senior executives or specialized consultants with extensive experience, advanced certifications, and leadership roles. Most accountants and analysts earn lower base salaries, with total compensation increasing with seniority, industry, and geographic location.

What is accounting data analytics?

Accounting data analytics is the process of using data analysis tools and techniques to examine, interpret, and visualize financial data for better decision-making. It involves collecting and analyzing large volumes of accounting information to uncover trends, detect anomalies, and provide actionable insights for businesses. Professionals in this field combine knowledge of accounting principles with skills in data analysis, often using software like Excel, SQL, and specialized analytics platforms. This helps organizations improve efficiency, identify risks, and support strategic planning.

What is data analytics in accounting?

Data analytics in accounting involves examining financial data to identify patterns, trends, and insights that support decision-making and improve financial accuracy. Accountants and analysts use tools like Excel, SQL, and specialized software to interpret large datasets, enhance reporting, and detect anomalies or fraud. Strong analytical skills and understanding of accounting principles are essential for effective data analytics in this field.

How does an Accounting Data Analytics professional typically collaborate with other departments within a company?

Accounting Data Analytics professionals frequently work cross-functionally, partnering with teams like finance, operations, and IT to gather data, interpret results, and deliver actionable insights. They often translate complex financial data into meaningful reports for non-technical colleagues, ensuring alignment on business goals. Regular collaboration helps identify trends, improve forecasting accuracy, and streamline processes, making strong communication and teamwork skills vital in this role.
More about Accounting Data Analytics jobs
What cities are hiring for Accounting Data Analytics jobs? Cities with the most Accounting Data Analytics job openings:
What states have the most Accounting Data Analytics jobs? States with the most job openings for Accounting Data Analytics jobs include:
What job categories do people searching Accounting Data Analytics jobs look for? The top searched job categories for Accounting Data Analytics jobs are:
Infographic showing various Accounting Data Analytics job openings in the United States as of July 2026, with employment types broken down into 86% Full Time, 8% Part Time, 1% Temporary, and 5% Contract. Highlights an 87% Physical, 5% Hybrid, and 8% Remote job distribution, with an average salary of $42,916 per year, or $20.6 per hour.
Federal Audit Data Analyst

Federal Audit Data Analyst

Empirical Corporation

Washington, DC • On-site

$95K - $105K/yr

Full-time

Medical, Dental, Vision, Life, Retirement, PTO

Posted 8 days ago


Job description

Federal Audit Data Analyst

Salary: $95,000 - $105,000/year

Empirical is seeking a Federal Audit Data Analyst to support a high‑visibility federal financial management, data quality, and audit readiness mission. If you have strong experience in federal data analytics, dashboard development, and data quality testing, this role offers the opportunity to directly strengthen the accuracy, transparency, and reliability of a major federal program’s financial and operational data.

Responsibilities:

  • Provide data analytics and data quality support for federal financial reporting and audit readiness activities.
  • Analyze data to validate completeness, accuracy, and compliance.
  • Develop dashboards, reports, and visualizations with drill‑down capability and full traceability to source data.
  • Perform trend analysis, anomaly detection, and risk‑based analytics.
  • Build and maintain automated data quality checks, monitoring tools, and analytic workflows.
  • Support monthly data quality reviews, aged asset analysis, and reconciliation activities.
  • Assist with audit analytics and automation initiatives, including developing scripts, queries, and repeatable testing routines.
  • Prepare data analysis summaries, findings, and recommendations


Requirements:

  • Bachelor’s degree in Accounting, Data Analytics, or Information Systems or a related field.
  • Minimum 5 years of experience performing data analytics in a federal environment.
  • Demonstrated ability to build dashboards that support audit traceability.
  • Experience supporting audit, financial reporting, or internal control data analysis.
  • Proficiency with data visualization tools and analytic platforms (e.g., Tableau, Power BI, SQL‑based tools).
  • Ability to obtain and maintain a federal background investigation or security clearance.


Why You'll Love Working with Us:


At Empirical, we invest in our people. Here's what you can expect:

  • Competitive compensation with bonus programs that reward outstanding performance
  • Additional earning opportunities through employee referral and business development bonuses
  • Generous PTO — 11 paid holidays plus vacation, personal, and sick days
  • Comprehensive benefits — medical, dental, and vision insurance
  • Life and disability insurance
  • 401(k) with company match
  • Professional development support — reimbursement for certification exams, CPE credits, continuing education, and professional association dues


Empirical Corporation is an Equal Opportunity Employer and will consider all qualified applicants without regard to race, color, age, religion, sex, sexual orientation, gender identity, genetic information, national origin, disability, protected veteran status or any other classification protected by law. If you are a candidate in need of assistance or accommodation in the application process, please contact Human Resources. Please be advised that this contact information is for accommodation requests only and cannot be used to inquire about the status of the application.