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Junior Financial Analyst Python Jobs in Arizona (NOW HIRING)

Utilize Python and SQL to perform financial and data analysis and support data-driven decision-making. * Leverage advanced Excel capabilities to analyze data and develop financial models. * Develop ...

Python developer

Chandler, AZ

$49.50 - $68.25/hr

... Analysts' 2012 annual report. Artech provides technical expertise to fill gaps in clients ... financial flexibility by offering contingent labor as a variable cost. Job Title: Python developer ...

... and analyze datasets for model development. · Develop APIs and backend services for AI ... Technical Skills: · Python -- strong proficiency · Machine Learning and Deep Learning · ...

About the Role The FP&A Manager plays a critical role in providing accurate financial reporting ... Proficient in Python and SQL required * Masters of Science in Mathematical Finance & Financial ...

Quantitative Analyst I

Scottsdale, AZ · Hybrid

$57K - $63K/yr

Current Employees and Contractors Apply HereOsaic Careers Corporate Finance Opportunity in ... As a junior analyst, you will work closely with senior team members to learn analytical frameworks ...

Develop and support data, analytics, and AI assets using Python, Structured Query Language (SQL ... financial planning, forecasting, and analytics capabilities. By combining next-generation processes ...

Quantitative Analyst I

Scottsdale, AZ · On-site

$57K - $63K/yr

Current Employees and Contractors Apply HereOsaic Careers Corporate Finance Opportunity in ... As a junior analyst, you will work closely with senior team members to learn analytical frameworks ...

Senior School Finance Manager

Chandler, AZ · On-site

$105K - $143K/yr

Manage or mentor 1-3 junior staff. * Lead full monthly close process independently or via review of ... Advanced financial analysis skills to interpret complex financial data, conduct variance analysis ...

Senior School Finance Manager

Chandler, AZ · On-site

$107K - $146K/yr

Manage or mentor 1-3 junior staff. * Lead full monthly close process independently or via review of ... Advanced financial analysis skills to interpret complex financial data, conduct variance analysis ...

Showing results 21-40

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 are the key skills and qualifications needed to thrive as a junior financial analyst with 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.

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.

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.

What are the most commonly searched types of Financial Analyst Python jobs in Arizona?

The most popular types of Financial Analyst Python jobs in Arizona are:

What cities in Arizona are hiring for Junior Financial Analyst Python jobs?

Cities in Arizona with the most Junior Financial Analyst Python job openings:

Python-AI ML (GenAI) Senior Engineer

Tata Consultancy Service Limited

Phoenix, AZ • On-site

$100K - $130K/yr

Full-time

Medical, Dental, Vision, Retirement, PTO

Posted 27 days ago


Job description

Role - Python-AI ML (GenAI) Senior Engineer
Experience Required -7+ Years
Must Have Technical/Functional Skills
• Proficiency with distributed/multi-tier systems and application development, including excellent programming skills in languages such as Java, Python
• Hands-on experience with Spring Boot, Micro-services, Kafka, Relational and/or NoSQL databases.
• Experience in conversational interfaces, chatbots, machine learning, deep learning, and data analytics.
• Experience with Agile development, Continuous Integration, and Continuous Delivery, including working knowledge of various tools in the CI/CD pipeline.
• Experience with automated release management using Maven, Salt, Git, Jenkins
• Good understanding of web technologies (HTTP, Apache) and familiarity with Unix/Linux
• Good understanding of data structures, algorithms, and design patterns
• Great written communication and documentation abilities
• Looks proactively beyond the obvious for continuous improvement opportunities.
• Knowledge & experience of Contact center ecosystem/Genesys Framework and Architecture, familiarity with the Genesys ecosystem would be preferrable.
• Leadership and communication: lead teams and collaborate with stakeholders, so strong leadership and communication skills are essential.
• Excellent communication skills, with the ability to influence at all levels across functions, from both technical and non-technical perspectives alike.
Roles & Responsibilities
Design and implement AI/ML solutions from POC to production
Translate business requirements into scalable AI architectures
Own model lifecycle: training, deployment, monitoring, retraining
Deploy models into production with CI/CD pipelines
Monitor model performance, drift, latency, and cost
Ensure reliability, scalability, and security of AI systems
Mentor junior AI/ML engineers and review code/designs
Lead technical discussions and architecture reviews
Provide guidance on best practices and standards
Work closely with Product Owners, Architects, and Program Managers
Present technical solutions to business and customer stakeholders
Support proposal development and technical estimations
Ensure AI solutions meet enterprise governance, security, and compliance standards
Base Salary Range : $100,000 to $130,000 Per Annum
TCS Employee Benefits Summary:
Discretionary Annual Incentive.
Comprehensive Medical Coverage: Medical & Health, Dental & Vision, Disability Planning & Insurance, Pet Insurance Plans.
Family Support: Maternal & Parental Leaves.
Insurance Options: Auto & Home Insurance, Identity Theft Protection.
Convenience & Professional Growth: Commuter Benefits & Cert ification & Training Reimbursement.
Time Off: Vacation, Time Off, Sick Leave & Holidays.
Legal & Financial Assistance: Legal Assistance, 401K Plan, Performance Bonus, College Fund, Student Loan Refinancing.