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Financial Analyst Python Full Time Jobs in Rochester, NY

CooperCompanies

Senior Commercial Analyst

Victor, NY · On-site

$84K - $111K/yr

This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible ... Partner with Sales, Corporate Accounts, Marketing, and Finance leadership to deliver analyses, KPIs ...

Paychex

Corporate Commissions Analyst

Rochester, NY · On-site

$45K - $71K/yr

Finance - Preferred * Reporting and Analysis - Preferred * Accounting Operations - Preferred ... The benefits described apply to full-time employees. Benefits for part-time, contract, and intern ...

General Motors

Database/MES Developer

Rochester, NY · On-site

$83K - $127K/yr

Analyze production data to identify process improvements, trends, abnormal conditions, and ... Experience developing Python applications, websites, APIs, scripts, or automation tools.

General Motors

Database/MES Developer

Rochester, NY · On-site

$83K - $127K/yr

Analyze production data to identify process improvements, trends, abnormal conditions, and ... Experience developing Python applications, websites, APIs, scripts, or automation tools.

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Financial Analyst Python Full Time information

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$38K

$86.9K

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How much do financial analyst python full time jobs pay per year?

As of Sep 15, 2026, the average yearly pay for financial analyst python full time in Rochester, NY is $86,936.00, according to ZipRecruiter salary data. Most workers in this role earn between $69,100.00 and $109,000.00 per year, depending on experience, location, and employer.

What does a financial analyst python full time do?

A Financial Analyst Python Full Time is a professional who uses Python programming to analyze financial data, create models, and generate reports to support business decisions. They work full-time, typically in corporate finance, investment firms, or banks, leveraging Python to automate data collection, perform statistical analysis, and visualize financial trends. Their role combines financial expertise with technical skills to improve efficiency, forecast trends, and provide actionable insights for their organization.

How does a financial analyst python full time typically collaborate with other departments within a company?

As a Financial Analyst working with Python, you'll often collaborate closely with teams such as accounting, data engineering, and business operations. You may be tasked with automating financial reports, developing data models, or providing actionable insights based on large datasets, all of which require clear communication and coordination with colleagues. Regular meetings and cross-functional projects are common, as your analyses help inform decisions made by leadership and other stakeholders. Proficiency in Python allows you to streamline processes and present complex data in a more accessible way, making your contributions valuable across multiple departments.

What are the key skills and qualifications needed to thrive as a financial analyst python full time, and why are they important?

To thrive as a Financial Analyst with a focus on Python, you need strong analytical skills, a deep understanding of financial concepts, and proficiency in Python programming, typically backed by a degree in finance, economics, or a related field. Experience with data analysis tools (such as Pandas, NumPy, and Excel), financial modeling software, and relevant certifications like CFA or FMVA are highly beneficial. Attention to detail, problem-solving ability, and effective communication help you interpret data insights and present findings clearly to stakeholders. These competencies enable accurate analysis, automation of financial processes, and data-driven decision-making that drive organizational success.

What is the difference between Financial Analyst Python Full Time vs Financial Analyst Excel Full Time?

AspectFinancial Analyst Python Full TimeFinancial Analyst Excel Full Time
Required SkillsPython programming, data analysis, scriptingExcel, data manipulation, formulas
Work EnvironmentData-driven, programming-focusedSpreadsheet-based, reporting
CertificationsOptional Python certifications, CFAExcel certifications, CFA
Industry UsageQuantitative analysis, automationFinancial reporting, budgeting

Financial Analyst Python Full Time roles focus on programming and automation using Python, ideal for data-heavy tasks. In contrast, Financial Analyst Excel Full Time positions emphasize spreadsheet skills for reporting and analysis. Both roles often require similar certifications like CFA and are used across finance sectors, but Python roles lean more towards technical automation, while Excel roles focus on traditional financial modeling.

What are the most commonly searched types of Financial Analyst Python jobs in Rochester, NY?

The most popular types of Financial Analyst Python jobs in Rochester, NY are:

What are popular job titles related to Financial Analyst Python Full Time jobs in Rochester, NY?

For Financial Analyst Python Full Time jobs in Rochester, NY, the most frequently searched job titles are:

What job categories do people searching Financial Analyst Python Full Time jobs in Rochester, NY look for?

The top searched job categories for Financial Analyst Python Full Time jobs in Rochester, NY are:

What cities near Rochester, NY are hiring for Financial Analyst Python Full Time jobs?

Cities near Rochester, NY with the most Financial Analyst Python Full Time job openings:

Infographic showing various Financial Analyst Python Full Time job openings in Rochester, NY as of August 2026, with employment types broken down into 100% Full Time. Highlights an 80% In-person, and 20% Hybrid job distribution, with an average salary of $86,936 per year, or $41.8 per hour.

Senior Commercial Analyst

Victor, NY • On-site

CooperCompanies
See more jobs at CooperCompaniesexternal

$84K - $111K/yr

Full-time

Posted 25 days ago

Job description


At CooperVision, a business unit of CooperCompanies (Nasdaq: COO), we're driven by a unified purpose of helping people experience life's beautiful moments. We are connected through our shared values - dedicated, innovative, friendly, partners, and do the right thing. As a leading global manufacturer of contact lenses, we are committed to helping improve the way people see each day. Through our diverse lens portfolio, we tackle the toughest vision challenges - including astigmatism, presbyopia, and childhood myopia. We offer the most complete collection of spherical, toric, and multifocal products available, enabling us to fit 99% of all contact wearers. Learn more at www.coopervision.com
  • This role is not eligible for employer-sponsored work authorization now or in the future. Applicants must be authorized to work in the United States on a permanent and ongoing basis without the need for future sponsorship (i.e., H1B, STEM OPT extensions, TN, etc.)
  • This position requires full-time onsite work (5 days per week) in Victor, NY and is not eligible for relocation assistance.

Job Summary:
Reporting to the Sr. Manager, Commercial Analytics, the Analyst enables data-driven decision-making across the U.S. commercial organization. Through quantitative analysis, forecasting, performance measurement, and data visualization, the role delivers actionable insights that support commercial strategy, business planning, and operational performance. The Analyst translates complex data from multiple sources into clear recommendations and intuitive dashboards that drive business impact and informed decision-making.
Responsibilities
  • Lead business requirements gathering and solution design by partnering with stakeholders across Commercial, Operations, and Senior Leadership to identify business needs, document requirements, and develop analytical solutions. Present insights and recommendations to senior leaders, including members of Commercial Leadership and the President of the Americas, to support strategic decision-making.
  • Partner with Sales, Corporate Accounts, Marketing, and Finance leadership to deliver analyses, KPIs, dashboards, business intelligence, performance insights, and actionable recommendations that support sales performance, revenue growth, customer performance, territory effectiveness, resource allocation, pricing strategies, program effectiveness, and profitability management.
  • Drive analytical support for core business processes, including monthly, quarterly, and annual planning activities such as market analysis, revenue forecasting, rebate and Fit Set performance evaluation, marketing program reviews, and long-range strategic planning.
  • Facilitate integration and utilization of multiple data sources, including ERP, CRM, data warehouse, reporting, and third-party vendor platforms, to improve data accessibility, consistency, and analytical capabilities.
  • Champion the development, enhancement, and adoption of commercial dashboards and performance reporting tools. Design KPI frameworks and ROI measurement methodologies to evaluate brand, customer, and promotional programs, and provide recommendations to optimize future investments.
  • Partner with Professional Affairs and Corporate Accounts leadership to establish performance metrics, evaluate event and conference effectiveness, and assess return on investment for sponsored activities.
  • Monitor market dynamics and competitive activity to identify emerging opportunities, risks, and threats, and communicate relevant insights to business leaders.
  • Lead Salesforce reporting and analytics initiatives supporting Brand, Corporate Accounts, Customer Marketing, Professional Affairs, and Sales teams, including customer targeting, customer segmentation, territory optimization, KPI reporting, campaign measurement, field effectiveness reporting, and product launch analytics.
  • Develop and deliver training, reporting tools, and self-service resources that increase organizational data literacy and enable business partners to independently access and utilize key information.
  • Present insights and recommendations at Commercial, Sales, Marketing, and Leadership meetings, and support the development of executive-level presentations and business reviews.

Qualifications
Knowledge, Skills, and Abilities:
  • Experience analyzing sales performance, customer behavior, program effectiveness, forecasting, customer segmentation, territory optimization, sales force effectiveness, and other commercial performance metrics to support strategic decision-making.
  • Advanced experience with business intelligence and data visualization tools (e.g., Tableau, Cognos) and the ability to quickly learn and leverage new data systems and technologies to develop reporting, dashboards, and actionable business insights.
  • Advanced proficiency in Microsoft Excel, PowerPoint, and Copilot, including data modeling, data cleansing, automation, advanced formulas, pivot tables, visualization, and presentation development.
  • Experience utilizing Salesforce or similar CRM platforms to develop reporting, evaluate sales performance, support customer targeting and segmentation initiatives, and generate insights that inform business decisions.
  • Experience with SQL, ETL processes, data warehousing, and large-scale datasets in a business environment preferred.
  • Experience with geographic, demographic, and territory-level analysis, including heat mapping and visualization techniques that support commercial decision-making.
  • Exceptional written, verbal, and presentation skills, with the ability to translate complex analyses into clear, actionable insights and recommendations for executive, business, and technical audiences.
  • Demonstrated influencing and collaboration skills, with the ability to build effective relationships and partner with diverse, remote, and cross-functional teams both inside and outside of CVIUS.
  • Highly organized with the ability to manage multiple priorities, meet deadlines, and work effectively both independently and collaboratively.
  • Demonstrated curiosity and problem-solving mindset, with a willingness to challenge the status quo and drive continuous process improvement.

Work Environment:
  • Office-based role with extended periods working at a computer

Experience:
  • 5+ year experience in Sales, Marketing and/or financial analytics.
  • Experience in vision care, medical device, healthcare, consumer healthcare, or a similar B2B2C environment preferred.

Education:
Bachelor's degree in Business, Economics, Marketing, Finance, Management, or a related field, with demonstrated professional experience in data analytics.
We are committed to equal employment opportunity regardless of race, color, ancestry, religion, sex, national origin, sexual orientation, age, citizenship, marital status, disability, gender, gender identity or expression, or veteran status. We are proud to be an equal opportunity workplace.
For U.S. locations that require disclosure of compensation, the starting base pay for this role is between $97,634.00 and $120,000.00 per year and may include cost of living adjustments. The actual base pay includes many factors and is subject to change and modification in the future. This position may also be eligible for other types of compensation and benefits.
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