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Accounting Data Analytics Jobs (NOW HIRING)

An effective team member can incorporate a strong CPA/Finance background in building client solutions to address client's business needs using data analytics tools. The team is tool agnostic in ...

Familiarity with data tools (Power BI, Tableau, or similar) Why You Should Join Our Team * Exposure to both accounting and business analytics early in your career * Opportunity to learn directly from ...

Accounting Analyst

Lake Zurich, IL · On-site

$60K - $70K/yr

Familiarity with data tools (Power BI, Tableau, or similar) Why You Should Join Our Team * Exposure to both accounting and business analytics early in your career * Opportunity to learn directly from ...

... Field Analytics Data Analyst supports operational and strategic decision-making for safety ... Communicate, collaborate with multiple departments - field operations, IT, accounting, data support ...

... Field Analytics Data Analyst supports operational and strategic decision-making for safety ... Communicate, collaborate with multiple departments - field operations, IT, accounting, data support ...

... Field Analytics Data Analyst supports operational and strategic decision-making for safety ... Communicate, collaborate with multiple departments - field operations, IT, accounting, data support ...

Promotes improved reporting and analytics for accounting. Establishes vision, opportunities and processes to further standardize and warehouse accounting data for improved information gathering 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 Jun 20, 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 is the role of data analytics in accounting?

In accounting, data analytics involves examining financial data to identify trends, anomalies, and insights that support decision-making, improve accuracy, and enhance efficiency. Accounting professionals use tools like Excel, SQL, and specialized analytics software to interpret large datasets and automate routine tasks.

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, or specialized analytics software to analyze financial data, identify trends, and support decision-making. Developing skills in data visualization and statistical analysis can enhance their effectiveness in this area.

What is the role of an accounting data analyst?

An accounting data analyst is responsible for examining financial data to identify trends, discrepancies, and insights that support decision-making. They use tools like Excel, SQL, and data visualization software to analyze large datasets, ensuring accuracy and compliance with accounting standards. Strong analytical skills and knowledge of accounting principles are essential for this role.

Who earns more, a data analyst or a CPA?

A CPA (Certified Public Accountant) generally earns more than a data analyst, especially with experience and certifications. CPAs often have higher salaries due to their specialized accounting knowledge, regulatory responsibilities, and certification requirements, while data analysts focus on data interpretation and analytics tools. Salary differences can vary based on industry, location, and experience levels.

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.

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:
Infographic showing various Accounting Data Analytics job openings in the United States as of June 2026, with employment types broken down into 100% Full Time. Highlights an 100% In-person job distribution, with an average salary of $42,916 per year, or $20.6 per hour.
Data & Analytics - Consultant

Data & Analytics - Consultant

CFGI

Charleston, WV • On-site

Full-time

Posted 11 days ago

Be an early applicant


Job description

CFGI is seeking a data driven team member to join the Data and Analytics team in Business Transformation as a Manager. As a member of the team, you will be collaborating with clients by creating, developing, designing, and implementing processes and tools that will change how our clients use their most powerful resource – data. The Data and Analytics team helps clients define data strategies, build automation processes, and develop visualizations + predictive analytics tools to deliver impactful solutions and help our clients achieve business objectives using a data driven approach.
 
You will be responsible for managing various client projects, communicating business objectives to cross-functional stakeholders and providing input on both business process operations and data analytics tool specifications. You will be expected to work independently yet collaboratively with key stakeholders across a client’s organization to oversee projects and drive transformation. Additional responsibilities include tasks specific to scope development, budget creation and monitoring, as well as development of internal tools and templates to help drive team development.
 
An effective team member can incorporate a strong CPA/Finance background in building client solutions to address client’s business needs using data analytics tools. The team is tool agnostic in building a customized solution for our clients and uses various tools such as Python or Alteryx for data business process automation and PowerBI or Tableau for dashboarding. Effective communication and organizational skills will be imperative to your success in this role. Requisite working knowledge gained through professional working experience on data analytics projects is foundational to successfully initiate, plan, execute, monitor, control, and close projects. 
 
Roles and Responsibilities:
 
·       Hands-on experience translating data and analytics into actionable insights with ability to create reports and present observations to clients in a clear and concise manner.
·       Able to design and execute the transformation and analysis of large structured and unstructured / quantitative and qualitative datasets.
·       Strong problem-solving skills with ability to work independently, owning and driving projects from requirements through execution by implementing various data analytics solutions.
·       Work closely with stakeholders to understand their business needs, developing and maintaining strong internal and client relationships to manage cross-functional projects/initiatives.
·       Manager-level candidates will also have project management experience in cross-functional engagements including accounting/finance, FP&A, modeling, and/or tech implementation.
·       Must be able to effectively communicate complex, technical topics to a novice, non-technical audience with a passion for collaboration, learning new technologies, and client success.
·       Ability to manage individual workflow and task responsibilities.
 
Skills and Competencies:
 
·       Alteryx
·       Power Automate
·       PowerBI
·       Tableau
·       Data Architecture
·       Data Modeling / Analytics
·       Strong Excel skills
·       Finance/Accounting background
·       Data Science
·       Data Visualization
·       Solution Architecture
·       Workflow Automation
·       Programming (e.g., SQL, Java, Python, R)
·       RDMS (relational database management systems)
·       Exposure to data platforms (e.g., Snowflake, Databricks)
·       Data Engineering
 
Qualifications and Capabilities:
 
We would like individuals to have a balanced breakdown of the following skills:
 
1) Must have: The candidate should have strong soft skills and general areas of technical competence, as this is the backbone of the candidate’s day to day work in the Business Transformation group here at CFGI.
2) ‘Major’ concentration: At least one technical skill that the user is Certified in and has been using on a consistent basis for 2+ years; Considers themselves near ‘fluent’ or ‘super-user’.
3) ‘Minor’ concentrations:  At least 2+ technical skills that the individual has at the very least.
 
Must Have (Core Experience):
 
·       Bachelor’s degree is required; educational backgrounds in quantitative fields like Accounting/Finance, Information Systems, Statistics, and Computer Science is preferred.
·       CPA or other relevant designations are preferred.
·       Analytics background and experience, preferably in a client service environment.
·       Solid communication, teaming, presentation and project management skills.
·       Ability to research and generate ad-hoc solutions to problems.
·       Strong Excel skills – Using formulas (VLOOKUP, SUMIF, IF statements, INDEX/MATCH etc.).
 
Major/Minor Competencies:
 
·       ETL Automation: Alteryx.
·       Visualization: Tableau / MSFT PowerBI.
·       Code-Based: Python (R acceptable but not preferred).
·       Data Query: SQL (T-SQL) / (mySQL acceptable but not preferred).
·       Relational Data: Understanding of Database syntax (Table Structure, Joins, Filters).
 

We may use artificial intelligence (AI) tools to support parts of the hiring process, such as reviewing applications, analyzing resumes, or assessing responses and identifying potential inconsistencies or verification signals in application materials based on available information. 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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About CFGI

Sourced by ZipRecruiter

Industry

Business management consulting

Company size

501 - 1,000 Employees

Headquarters location

Boston, MA, US

Year founded

2000