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Accounting Python Jobs in Massachusetts (NOW HIRING)

You'll be embedded on a scoped workstream for approximately 3 months - partnering with Accounting ... Comfortable working with structured data; experience with SQL, Python, or Excel is a plus

Coding experience required, Python preferred * Solid understanding of accounting and financial statement analysis * Deep interest in investing and the financial markets * Ability to communicate ...

$114.60K - $150.50K/yr

... VBA, Python scripts, AI (Claude Cowork/Code, Gemini, Codex) Qualifications Here's What We're looking for: * Undergraduate degree in Finance, Accounting or related field is required; MBA and CPA ...

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Accounting Python information

See Massachusetts salary details

$14

$64

$94

How much do accounting python jobs pay per hour?

As of May 31, 2026, the average hourly pay for accounting python in Massachusetts is $64.02, according to ZipRecruiter salary data. Most workers in this role earn between $52.79 and $72.74 per hour, depending on experience, location, and employer.

What is an Accounting Python job?

An Accounting Python job typically involves using Python programming to automate, analyze, and optimize accounting and financial tasks. Professionals in this role use Python for data processing, financial modeling, reporting, and auditing. They may work with libraries like Pandas, NumPy, and SQLAlchemy to streamline accounting workflows. This role bridges traditional accounting with technology, improving efficiency and reducing manual errors. It is often sought after in industries looking to modernize financial operations.

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

To thrive in an Accounting Python role, you need a robust understanding of accounting principles combined with advanced Python programming skills, often supported by a degree in accounting, finance, computer science, or a related field. Familiarity with accounting software, data analytics tools, and libraries such as pandas, NumPy, and Excel is typically required, along with relevant certifications like CPA or experience in process automation. Strong analytical thinking, attention to detail, and effective communication are important soft skills for success. These combined abilities enable professionals to streamline accounting workflows, automate complex tasks, and deliver accurate financial insights.

What are typical day-to-day responsibilities for someone in an Accounting Python position?

In an Accounting Python role, your daily tasks often include automating financial data extraction, transforming and analyzing large datasets, and creating tools to streamline accounting workflows. You might work on developing scripts to reconcile transactions, generate insightful financial reports, and ensure the integrity and accuracy of financial data. Collaboration with both accounting and IT teams is common, as you'll frequently translate accounting requirements into technical solutions. This blend of technical and accounting work provides the opportunity to make a significant impact by improving efficiency and data-driven decision-making in financial operations.

Will CPAS be replaced by AI?

Certified Public Accountants (CPAs) working in accounting roles may see some automation of routine tasks through AI and accounting software, but AI is unlikely to fully replace CPAs. Instead, AI tools can enhance their efficiency, allowing CPAs to focus on complex analysis, advisory services, and decision-making that require professional judgment. Continuous learning and proficiency with accounting software and AI tools are important for CPAs to stay relevant in the evolving field.
What are the most commonly searched types of Accounting Python jobs in Massachusetts? The most popular types of Accounting Python jobs in Massachusetts are:
What are popular job titles related to Accounting Python jobs in Massachusetts? For Accounting Python jobs in Massachusetts, the most frequently searched job titles are:
Infographic showing various Accounting Python job openings in Massachusetts as of May 2026, with employment types broken down into 79% Full Time, 17% Part Time, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution, with an average salary of $133,165 per year, or $64 per hour.
Principal, Transformation Analytics & Value Realization

Principal, Transformation Analytics & Value Realization

ASCENSUS

Newton, MA

$150 - $170K/hr

Full-time

Medical, Dental, Vision, Retirement

Posted 14 days ago


Ascensus rating

8.3

Company rating: 8.3 out of 10

Based on 35 frontline employees who took The Breakroom Quiz

38th of 138 rated financial services


Job description

Ascensus is the leading independent technology and service platform powering savings plans across America, providing products and expertise that help nearly 16 million people save for a better today and tomorrow.

We are seeking a strategic, analytical, and collaborative leader to join our Enterprise Transformation team as Principal, Transformation Analytics & Value Realization. This high-impact role blends process optimization, data-driven insight generation, and strategic advisory to drive meaningful change across the organization.

This highimpact role blends strategic thinking with handson execution to deliver measurable transformation. The Principal will combine consulting expertise, deep analytics skills, and financial services operational knowledge to solve complex business challenges. Unlike advisoryonly roles, this position requires rolling up your sleeves to perform detailed analysis using R and Python, while maintaining a strategic lens to influence enterprise decisions.Key ResponsibilitiesStrategic Framing & Hands-On Execution
  • Partner with business leaders to define problems and shape outcomes using a consultative, data-informed approach.
  • Personally execute end-to-end analyses, from hypothesis formulation to coding in R/Python and delivering actionable insights.
  • Develop business cases and value realization frameworks that guide strategic investment decisions.
Advanced Data Analysis & Insight Generation
  • Perform hypothesis-driven analysis using R, Python, and SQL, not limited to Excel or BI tools.
  • Apply statistical and machine learning techniques to uncover trends and performance drivers.
  • Collaborate with AI/ML teams to integrate advanced analytics into decision-making
Retirement Industry & Financial Services Expertise
  • Financial Services Operations Experience (Required):
  • Financial services operations experience means handson experience working in, or materially transforming, core operational processes within a regulated financial services environment. This includes transactiondriven work, exception handling, control and audit considerations, and direct impact on client outcomes.
  • Experience may come from direct operational roles or deeply embedded consulting engagements. Candidates must demonstrate a practical understanding of operational process flow, controls, core systems, data constraints, and operational risk tradeoffs.
  • Retirement industry experience is highly preferred, including familiarity with ERISA, recordkeeping, and plan administration.
InScope Industry Experience (Examples)

Relevant financial services experience may include:

  • Retirement operations / recordkeeping, such as plan onboarding, distributions, moneyin processing, compliance testing, regulatory reporting, or trade, treasury, or investment services.
  • Insurance operations, including policy administration, underwriting operations, or claims operations.
  • Trust or asset management operations, including trust administration, custody, fund accounting, reconciliations, or client reporting.
  • Financial services operations consulting involving handson process redesign, operating model execution, or control rationalization.

These environments share complex workflows, exceptionheavy processing, control requirements, and nonclean operational data consistent with the challenges of this role.

Cross-Functional Partnership
  • Serve as a trusted advisor to senior leaders while actively contributing to execution.
Qualifications
  • 10+ years in management consulting or enterprise transformation, with proven ability to combine strategic framing and hands-on analytics.
  • Advanced proficiency in R and Python for statistical modeling; SQL for data extraction.
  • Experience designing and executing hypothesis-driven analyses from start to finish.
  • Strong business case development and value realization expertise.
  • Must have Financial Services experience; Retirement industry experience is highly preferred.
  • Comfortable operating at both strategic and execution levels; able to influence executives while performing deep analytical work.

The national average salary range for this role is $150-$170k in base pay, exclusive of any bonuses and benefits.This base salary range represents the low and high end of the salary range for this position. Actual salary offered will vary and may be above or below the range based on various factors including but not limited to location, experience, performance, and internal pay alignment. We do not anticipate that candidates hired will begin at the top of the range however, from time to time, it may occur on a case-by-case basis. Other rewards and benefits may include: 401(k) match, Medical, Dental, Vision, Paid-Time-Off, etc. For more information, please visit careers.ascensus.com/#Benefits.

Be aware of employment fraud. All email communications from Ascensus or its hiring managers originate from @ascensus.com or @futureplan.com email addresses. We will never ask you for payment or require you to purchase any equipment. If you are suspicious or unsure about validity of a job posting, we strongly encourage you to apply directly through our website.


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