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Executive Python Financial Jobs in Illinois (NOW HIRING)

Pwc

Finance Data and AI Senior Associate

Chicago, IL · On-site

$77K - $202K/yr

... Python - Applying predictive analytics to finance use cases - Collaborating with cross-functional teams for quality outcomes - Developing executive-level deliverables and implementation roadmaps ...

Bank of Montreal

Manager, Data & Analytics

Chicago, IL · On-site

$74K - $138K/yr

Develop executive-ready presentations that translate data into strategic recommendations ... Use SQL and Python (or similar programming languages) to extract, analyze, and visualize data.

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Executive Python Financial information

What is the difference between Executive Python Financial vs Financial Analyst?

AspectExecutive Python FinancialFinancial Analyst
Required CredentialsPython programming skills, finance knowledge, possibly certifications like CFAFinance degree, certifications like CFA or CPA often preferred
Work EnvironmentTech-driven finance teams, data analysis, programming tasksFinancial reporting, data analysis, forecasting
Employer & Industry UsageFinancial institutions, fintech companies, investment firmsBanks, investment firms, corporate finance departments
Common Search & ComparisonYesYes

The main difference between Executive Python Financial and a Financial Analyst lies in their skill sets and focus areas. Executive Python Financial professionals combine finance expertise with advanced Python programming to develop data-driven solutions, while Financial Analysts primarily focus on financial data analysis, reporting, and forecasting. Both roles are vital in finance but serve different functions within organizations.

What are the most commonly searched types of Python Financial jobs in Illinois? The most popular types of Python Financial jobs in Illinois are:
What cities in Illinois are hiring for Executive Python Financial jobs? Cities in Illinois with the most Executive Python Financial job openings:
Executive Python Financial jobs near you

Customer Engineer, Data Analytics, Financial Services

Google

Chicago, IL • On-site

$118K - $141K/yr

Full-time

Posted 17 days ago

Google rating

8.8

Company rating: 8.8 out of 10

Based on 92 frontline employees who took The Breakroom Quiz

31st of 186 rated software companies

Job description

Job Summary:
Google is a leading tech company that provides cloud computing solutions. They are seeking a Customer Engineer specializing in data analytics to partner with technical sales teams and drive the adoption of complex workloads for customers in the financial services industry.
Responsibilities:
• Drive the technical win for complex workloads within data analytics to ensure rapid and successful adoption, primarily supporting the business cycle from use case identification, technical evaluation, and through customer ramp.
• Combine business strategies and direct development and prototyping to provide functional, customer-tailored solutions that secure buy-in from customer domain experts.
• Provide deep technical consultation to customers, acting as a technical advisor and building lasting customer relationships.
• Leverage learnings from customer engagements to contribute to reusable solutions and assets with the Go-To-Market team.
• Provide critical feedback from customer engagements to Product and Engineering teams to improve architectures and solutions. Work within product and engineering management systems to document, prioritize and drive resolution of customer feature requests and issues.
Qualifications:
Required:
• Bachelor's degree or equivalent practical experience.
• 10 years of experience with cloud native architecture in a customer-facing or support role.
• Experience with 'Big Data' technologies or concepts (e.g., analytics warehousing, data processing, data transformation, data governance, data migrations, ETL, ELT, SQL, Spark, performance or scalability optimizations, batch versus streaming).
• Experience engaging with, or presenting to, technical stakeholders or executive leaders.
• Experience using programming languages (e.g., Python, Spark, SQL) to demo, prototype, or workshop with customers.
Preferred:
• Experience working with customers in the financial services industry.
• Experience in technical sales or consulting in cloud computing, data analytics, and Big Data.
• Experience with developing data warehousing, data lakes, batch/real-time event processing, streaming, data processing (ETL/ELT), data migrations, data visualization tools, and data governance on cloud native architectures.
• Experience with architecture design, implementing, tuning, schema design, and query optimization of scalable and distributed systems.
• Experience with cloud computing (e.g., infrastructure, storage, platforms, data) and the cloud market, participant dynamics, and customer buying behavior.
Company:
Google specializes in internet-related services and products, including search, advertising, and software. It is a sub-organization of Alphabet. Founded in 1998, the company is headquartered in Mountain View, USA, with a team of 10001+ employees. The company is currently Late Stage.

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Pay

Benefits

Hours and flexibility

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