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Accounting Data Analytics Jobs (NOW HIRING)

HNTB

Accounting Technology Manager

Kansas City, MO

Promotes improved reporting and analytics for accounting. Establishes vision, opportunities and processes to further standardize and warehouse accounting data for improved information gathering and ...

Tradewind Aviation

Finance Data Analyst

Middlebury, CT · On-site

Bachelor's degree in Finance, Accounting, Data Analytics, or related field * Minimum 3+ years of experience in finance, analytics, or data-related role * Experience supporting budgeting, forecasting ...

YES Communities

Data & Analytics Manager

Denver, CO · On-site

$145K - $150K/yr

Data & Analytics Manager Denver, CO YES Communities, founded in 2008, owns and operates nearly 300 ... accounting fundamentals and the ability to apply them to operational and strategic decisions ...

Tradewind

Finance Data Analyst

Middlebury, CT · On-site

Bachelor's degree in Finance, Accounting, Data Analytics, or related field * Minimum 3+ years of experience in finance, analytics, or data-related role * Experience supporting budgeting, forecasting ...

yes

Data & Analytics Manager

Denver, CO

Data & Analytics Manager Denver, CO YES Communities, founded in 2008, owns and operates nearly 300 ... accounting fundamentals and the ability to apply them to operational and strategic decisions ...

Tandigm Health

Accounting Manager

Conshohocken, PA

Monitor and analyze accounting data and produce financial reports or statements. * Participates in the year-end audit by providing schedules and analysis to support financial transactions as ...

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How much do accounting data analytics jobs pay per hour?

As of May 30, 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 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.

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.

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 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.

More about Accounting Data Analytics jobs
What cities are hiring for Accounting Data Analytics jobs? Cities with the most Accounting Data Analytics job openings:
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Accounting Data Analytics jobs near you
Infographic showing various Accounting Data Analytics job openings in the United States as of May 2026, with employment types broken down into 96% Full Time, 3% Part Time, and 1% Contract. Highlights an 41% Physical, 13% Hybrid, and 46% Remote job distribution, with an average salary of $42,916 per year, or $20.6 per hour.
Transaction Services - Data Analytics Senior Associate

Transaction Services - Data Analytics Senior Associate

Riveron

Atlanta, GA • On-site

$90K - $140K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 25 days ago

Job description

As a Transaction Services Data Analytics Senior Associate at Riveron, you will provide crucial data-driven insights for complex transactions involving private equity and corporate clients. Your role analyzes extensive datasets to uncover trends and deliver actionable recommendations that guide clients through due diligence, post-deal performance, and exit strategies. You'll translate complex data into clear insights for clients and internal teams, ensuring strategic decisions are well-informed. In this dynamic, fast-paced environment, you will stay ahead of industry trends and emerging technologies, enhancing our analytical approach, and delivering impactful results throughout the deal lifecycle.
Who You Are:
  • Bachelor's or master's in accounting, data science, data analytics, statistics, economics, or related field
  • CPA and/or audit experience preferred but not required
  • Minimum 2 years of total relevant experience involving a combination of financial due diligence for transaction services and data analytics
  • Minimum 1 years of transaction experience focused on quality of earnings, net working capital, and cash flows
  • Minimum 1years of experience with one or a combination of the following:
  • Data Visualization Tools: Experience with D3.js, Tableau, PowerBI, Spotfire, or similar platforms.
  • Data Management: Proficiency in Hadoop, SQL, Alteryx, or comparable technologies.
  • Analytics Platforms: Knowledge of SAS, Azure, or related systems.
  • Statistical Software: Familiarity with SPSS, Minitab, or similar packages.
  • Programming Languages: Competence in Python, R, or other relevant languages.
  • You thrive in an ever-changing, dynamic work environment
  • You readily identify problems and instinctively look for solutions
  • You demonstrate analytical rigor and strong written and verbal communication skills
  • You have the ability and desire to travel as required based on client location

What You'll Do:
  • Analyze extensive datasets using data management technologies (e.g., Alteryx, Hadoop, SQL) to develop cleansed and organized datasets that will serve as input into M&A models, adjustments to EBITDA tables, net working capital analyses, or other key financial metrics.
  • Employ statistical software (e.g., SPSS, Minitab) and programming languages (e.g., Python, R) to perform in-depth analysis and identify trends, risks, and opportunities within transaction data.
  • Translate complex data findings into clear, strategic recommendations for due diligence and transaction models.
  • Utilize the application of analytics platforms (e.g., SAS, Azure) throughout the transaction lifecycle to make high-quality, data-driven decision-making and insights.
  • Stay updated with industry trends and emerging technologies to enhance our data analytics capabilities and support the delivery of impactful results for clients.

Applications for this evergreen opportunity will be accepted through Dec 31, 2026.
About Riveron:
At Riveron, we partner with clients-from global multinationals to high-growth private entities-to solve complex finance challenges, guided by our DELTA values: Drive, Excellence, Leadership, Teamwork, and Accountability. Our entrepreneurial culture thrives on collaboration, diverse perspectives, and delivering exceptional outcomes. We are committed to fostering growth, both for our clients and our people, through mentorship, integrity, and a client-centric approach. This inclusive environment offers flexibility, progressive benefits, and meaningful opportunities for impactful work that supports well-being in and out of the office.
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Riveron Consulting is an Equal Opportunity Employer and believes that we are stronger together through our diversity. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, age, national origin, disability status, protected veteran status, sexual orientation, gender identity or any other characteristic protected by law.
Full time roles are eligible for a full range of benefits including medical, dental, and vision insurance, 401(k) with company match, and PTO. A complete description of all available benefits can be found at Riveron's Benefits page at https://riveron.com/riveron-life/. Contract roles are not eligible for benefits.
Fraud Alert
Please beware of fraudulent schemes or impersonations when going through the job application process. A Riveron employee will never recruit via text or extend unsolicited employment offers. Additionally, a Riveron employee will never ask you to exchange money or purchase anything as part of the recruiting process.
Artificial intelligence (AI) tools are used to support the hiring process in screening, assessing, and/or selecting applicants for this position. These tools assist our recruitment team but do not replace human judgment. Final hiring decisions are ultimately made by humans. If you would like more information about how your data is processed, please contact us.

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