1

Junior Financial Analyst Python Jobs in New York

Business Analyst-Junior

Manhattan, NY · On-site

$29.25 - $39.25/hr

BA/BS degree (accounting, finance, economics, industrial engineering, statistics, math). * 1+ of ... Experience with R, Python, or similar statistical programming languages is a plus.

Senior Financial Analyst

Manhattan, NY · On-site

$103K - $135K/yr

Serve as the analytical link between FP&A and the Marketing and Culinary teams, with a deep ... Working knowledge of SQL and/or a data tool (Python, Alteryx, Tableau). * Comfortable working with ...

Sr. Financial Analyst

Stamford, CT · On-site

$91K - $113K/yr

The Senior Financial Analyst role is designated to support the growth of our expanding business ... Experience with scripting and data analysis languages, such as Python and R is a plus. Who you are:

Build and interpret financial models ( DCF , comps, scenario analysis) to enhance AI reasoning ... Experience with data analysis tools ( Python , SQL ). Application Process (Takes 20-30 mins to ...

What You'll Do The Enterprise Risk Financial Analyst reports to the Enterprise Risk Financial ... Preferable experience in Python, SQL, R and/or C++. The estimated salary range is $31.93 to $38.32 ...

next page

Showing results 1-20

Junior Financial Analyst Python information

What does a Junior Financial Analyst with Python skills do?

A Junior Financial Analyst with Python skills is responsible for supporting financial planning, analysis, and reporting by using Python to automate data collection, clean datasets, and perform financial modeling. They assist senior analysts with forecasting, budgeting, and generating reports, leveraging Python code to increase efficiency and accuracy. This role often involves working with large datasets, creating visualizations, and interpreting financial data to help inform business decisions. Strong analytical skills, attention to detail, and the ability to communicate findings are essential in this position.

What is the difference between Junior Financial Analyst Python vs Junior Data Analyst?

AspectJunior Financial Analyst PythonJunior Data Analyst
Required SkillsFinancial analysis, Python programming, ExcelData analysis, SQL, Excel, basic programming
Work EnvironmentFinance departments, investment firmsBusiness, marketing, tech companies
CertificationsFinancial certifications (e.g., CFA, CPA) often preferredData analysis certifications (e.g., Microsoft Excel, SQL)
Industry UsageFinance, banking, investmentTech, marketing, healthcare

While both roles involve data handling and analysis, Junior Financial Analyst Python focuses on financial data and Python skills within finance environments, whereas Junior Data Analyst has a broader scope across industries with emphasis on data tools and SQL. The choice depends on your industry interest and technical skill focus.

How does a Junior Financial Analyst who uses Python typically collaborate with other teams within a company?

As a Junior Financial Analyst with Python skills, you will often work closely with finance, accounting, and IT teams. Your main responsibilities may include automating data collection, preparing financial reports, and building analytical models, which require frequent communication to understand data sources and business requirements. Collaboration is essential for ensuring that analytical tools and dashboards meet the needs of stakeholders and that financial insights are accurately conveyed. You may also participate in meetings to discuss project goals, share findings, and provide technical support to colleagues who may not be familiar with Python or data analysis techniques.

Is 40 too late to start a career in finance?

Starting a career as a Junior Financial Analyst at age 40 is possible, as many employers value skills and experience over age. Success depends on your background, willingness to learn, and acquiring relevant skills such as Excel, financial modeling, or Python. Transitioning into finance may require additional certifications or training but is achievable at any age with dedication.

Does a financial analyst need Python?

A junior financial analyst often benefits from knowing Python, as it can be used for data analysis, automation, and modeling tasks. Proficiency in Python can improve efficiency and is increasingly valued in finance roles, especially when working with large datasets or developing financial models.

What finance jobs require Python?

Finance jobs that require Python include roles such as Junior Financial Analyst, Quantitative Analyst, Data Analyst, and Risk Analyst. These positions often involve data analysis, automation, and modeling, with Python skills used for tasks like data manipulation, statistical analysis, and building financial models.

What are the key skills and qualifications needed to thrive as a Junior Financial Analyst Python, and why are they important?

To thrive as a Junior Financial Analyst Python, you need a solid understanding of finance, basic accounting principles, and proficiency in Python programming, typically supported by a relevant degree such as finance, economics, or computer science. Familiarity with financial modeling tools, Excel, SQL databases, and data visualization libraries like pandas and matplotlib is often required. Strong analytical thinking, attention to detail, and effective communication skills help you interpret data and present insights clearly. These skills are crucial for accurately analyzing financial data, automating tasks, and supporting informed business decisions.

Is AI replacing financial analysts?

AI is transforming the role of financial analysts by automating data analysis, forecasting, and reporting tasks, allowing analysts to focus on strategic decision-making. While AI tools can handle routine work, human judgment remains essential for interpreting complex data and providing insights. Junior financial analysts should develop skills in data analysis, programming, and understanding AI tools to stay relevant in the evolving field.
What are the most commonly searched types of Financial Analyst Python jobs in New York? The most popular types of Financial Analyst Python jobs in New York are:
What are popular job titles related to Junior Financial Analyst Python jobs in New York? For Junior Financial Analyst Python jobs in New York, the most frequently searched job titles are:
Infographic showing various Junior Financial Analyst Python job openings in New York as of June 2026, with employment types broken down into 87% Full Time, 5% Part Time, 5% Temporary, and 3% Contract. Highlights an 85% Physical, 4% Hybrid, and 11% Remote job distribution.

Financial Analyst, Lateral Investment

Dlapiper

Short Hills, NJ • Hybrid

Full-time

Medical, Dental, Vision, Retirement

Posted 8 days ago


Job description

DLA Piper is, at its core, bold, exceptional, collaborative and supportive. Our people are the backbone, heart and soul of our firm. Wherever you are in your professional journey, DLA Piper is a place you can engage in meaningful work and grow your career. Let's see what we can achieve. Together.

Summary

The Strategic Financial Analyst, Lateral Investment, in collaboration with and in support of the firm's strategic initiatives, plays a pivotal role in supporting the long-term financial direction of the firm. This individual is a technically skilled, curious, and forward-thinking professional who supports decision-making through data driven insights. The Strategic Financial Analyst informs strategic decisions, improves profitability, and supports the firm's long-term growth goals. This individual brings strong analytical skills, profit-centric business acumen, and excellent written and verbal communication. The role serves primarily to provide grounded recommendations on lateral partner investment decisions, supported by detailed financial analysis. This individual is expected to build controlled and transparent financial models with well-written supplementary recommendations and/or options.

This individual also supports the firm's adoption of AI in finance and professional services and is passionate about using automation and advanced analytics to improve finance processes. The Strategic Finance Analyst is eager to use modern tools, analytics, and (as appropriate) machine learning techniques to analyze data, generate insights, monitor lateral performance, and automate existing processes, such as lateral investment analysis. This individual is expected to independently seek, test, and implement AI tools that will enable stronger analysis and support data-driven decision making.

Location

This position can sit in our Short Hills or Northern Virginia office and offers a hybrid work schedule.

Responsibilities

Prepare timely financial analysis of lateral hire partner candidates, including evaluating historical performance, book of business, profitability potential, and other key metrics to support hiring decisions.

Prepare monthly lateral performance report in support of monthly close, including commentary and detailed analytics.

Enhance lateral financial analysis end-to-end process; working with key stakeholders and technology to automate and standardize workflow and model inputs/outputs.

Track and monitor post-hire lateral performance against approved financial scenarios and market benchmarks, identifying key variance drivers and communicate emerging risks or opportunities for lateral investments.

Identify opportunities to streamline lateral and other financial processes, improve data quality, and increase reporting efficiency through automation and standardization.

Contribute to finance automation efforts, including building and improving simple-language AI agents (e.g., chatbots, cash flow models, validation tools) that support FP&A workflows.

Partner with senior Finance leaders, Recruiting, and Practice Group leadership to present findings, assumptions, and financial recommendations in a clear and concise manner.

Support practice group and firm reporting requirements by providing informative analytics and insights to leadership, with a focus on actionable recommendations and profitability.

Perform ad hoc financial analysis and reporting requests, synthesizing findings into clear takeaways and recommended actions.

Desired Skills

Required Qualifications: Strong analytical and quantitative skills. Proficiency in Microsoft Excel and Microsoft PowerPoint. Excellent verbal and written communication skill. Strong judgment, discretion, and ability to handle highly confidential information. Collaborative mindset with the ability to work effectively across Finance, Talent, and firm leadership. Ability to manage multiple tasks and meet deadlines. Collaborative, agile and curious mindset with an eagerness to learn.

Desired Skills: Ability to analyze complex financial and operational data and translate results into actionable insights. Strong communication and financial storytelling skills; comfortable presenting to nonfinance stakeholders. High energy, eagerness to learn, and interest in applying AI/automation to modernize FP&A processes. Familiarity with tools such as Python, SQL, Power BI, Microsoft Copilot Studio, Claude, or similar platforms is a plus. Experience in a law firm, financial institution, or professional services organization is a plus.

Travel: 10% (Depending on the location, the analyst will be expected to travel to other DLA Piper offices, such as Reston, Virginia, Short Hills, New Jersey and New York City office locations).

Minimum Education

Bachelor's Degree in Finance, Accounting, Economics, Business Administration, Data Science, or a related field.

Preferred Education

MBA or other relevant advanced degree.

Certificates

CFA or progress toward CFA designation is a plus. MFA or progress toward MFA is a plus.

Minimum Years of Experience

3 years of experience in FP&A, finance, data analytics, or accounting. Open to recent graduates with relevant coursework and/or internship experience.

Essential Job Expectations

While the specific job requirements of a DLA Piper position may vary depending upon scope of the job and area of specialty, there are certain universal requirements that are expected of all DLA Piper employees, which include but are not limited to:

Effectively communicate, verbally and in writing, with clients, lawyers, business professionals, and third parties.

Produce deliverables, answer phone calls, and reply to correspondence in an efficient and responsive manner.

Provide timely, accurate, and quality work product.

Successfully meet deadlines, expectations, and perform work duties as required.

Foster positive work relationships.

Comply with all firm policies and practices.

Engage in both physical and sedentary activity, such as (a) working at a computer for extended periods of time, including on-screen reading and typing; (b) participating in digital/virtual conference calls; (c) participating in meetings as needed.

Ability to work under pressure and manage competing demands in a fast-paced environment.

Perform all other duties, tasks or projects as assigned.

Our employees are expected to embrace and uphold our firm values as a part of our DLA Piper culture. We are committed to excellence in how we represent our clients and develop our people.

Physical Demands

Sedentary work: Exerting up to 10 pounds of force occasionally and/or a negligible amount of force frequently or constantly to lift, carry, push, pull or otherwise move objects, including the human body. Sedentary work involves sitting most of the time. Jobs are sedentary if walking and standing are required only occasionally and all other sedentary criteria are met.

Work Environment

The individual selected for this position may have the opportunity for a hybrid work arrangement comprised of remote and in-office work, the requirement for which will be determined in coordination with the hiring manager or supervisor and may be modified in the firm's discretion in the future.

Disclaimer

The purpose of this job description is to provide a concise statement of the work elements and to organize and present the information in a standardized way. It is not intended to describe all the elements of the work that may be performed by every individual in this classification, nor should it serve as the sole criteria for personnel decisions and actions. The job duties, requirements, and expectations for this position may be modified at the Firm's discretion at any time. This job description does not change the at-will nature of employment.
Application Process
Applicants must apply directly online instead of sending application materials via email.

Accommodation

Reasonable accommodations may be made upon request to permit individuals with a disability to perform the essential functions and responsibilities of the position or to participate in the job selection process. If you have a request for an accommodation during the application process, please contact careers@us.dlapiper.com.

Agency applications will not be considered.

No immigration sponsorship is available for this position.


The firm's expected hiring range for this position is $88,383 - $117,111 per year depending on the candidate's geographic market location.

The compensation offered for employment will also be dependent on other factors including the candidate's experience, skills, educational and professional background, and overall qualifications. We offer a comprehensive package of benefits including medical/dental/vision insurance, and 401(k).
Applicants who are not based in the jurisdiction in which this position is posted and who apply for this role are doing so voluntary and are not eligible for relocation assistance. Any relocation benefits, if any, are provided only where a relocation is required at the firm's direction and in accordance with applicable policy and law.

#LI-MK1

#LI-Hybrid

DLA Piper is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, sexual orientation, gender identity, national origin, disability, or status as a protected veteran.Job applicant poster viewing center.