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Senior Financial Analyst Python Jobs in Pana, IL

AgileEngine

Senior Data Engineer ID75059

Irving, IL · On-site +1

$92K - $125K/yr

... large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines ... advanced analytics; - Act as a technical consultant for stakeholders and leadership to gather ...

AgileEngine

Senior Data Engineer ID75059

Irving, IL · On-site

$92K - $125K/yr

... large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines ... advanced analytics; - Act as a technical consultant for stakeholders and leadership to gather ...

Itron, Inc.

Sr Manager Test Engineering

Oconee, IL · On-site

$140 - $190/hr

Lead structured problem‑solving efforts, root cause analysis, and corrective actions to resolve ... Experience programming and developing automated test solutions using Python, LabVIEW, C#, or ...

All JobsFinancial Analyst Python JobsSenior Financial Analyst Python JobsSenior Financial Analyst Python Jobs in Pana, IL

Senior Financial Analyst Python information

See Pana, IL salary details

$52.5K

$92K

$115.4K

How much do senior financial analyst python jobs pay per year?

As of Aug 15, 2026, the average yearly pay for senior financial analyst python in Pana, IL is $91,999.00, according to ZipRecruiter salary data. Most workers in this role earn between $81,600.00 and $101,600.00 per year, depending on experience, location, and employer.

What does a senior financial analyst with Python skills do?

A Senior Financial Analyst specializing in Python leverages advanced financial expertise and programming skills to analyze complex financial data, build models, and automate reporting processes. They use Python to streamline data collection, perform statistical analysis, and generate actionable business insights. These professionals often collaborate with other departments to support financial planning, budgeting, forecasting, and strategic decision-making. Their Python skills enhance efficiency and accuracy in handling large datasets and developing custom financial solutions.

How does a senior financial analyst with Python skills typically collaborate with cross-functional teams in a corporate environment?

As a Senior Financial Analyst proficient in Python, you will frequently work with teams from IT, operations, and business units to streamline data collection and analysis. Your role often involves translating complex financial data into actionable insights using automated reporting tools and data models, which are built collaboratively with input from various stakeholders. Effective communication is key, as you'll need to explain technical concepts to non-technical team members and align analytical outputs with business goals. This cross-functional collaboration not only enhances data-driven decision-making but also provides opportunities for professional growth and exposure to diverse business functions.

What are the key skills and qualifications needed to thrive as a senior financial analyst with Python expertise?

To thrive as a Senior Financial Analyst with Python expertise, you need a strong background in finance, accounting, and advanced data analysis, typically supported by a relevant degree and several years of experience. Proficiency in Python for data manipulation, experience with financial modeling tools, and familiarity with ERP systems or BI platforms are highly valued. Outstanding analytical thinking, problem-solving abilities, and effective communication skills distinguish top performers in this role. These competencies enable analysts to deliver accurate insights, automate complex processes, and support strategic decision-making within the organization.

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

AspectSenior Financial Analyst PythonFinancial Analyst Python
Required CredentialsBachelor's degree, possibly CPA or CFA, experience preferredBachelor's degree in finance, accounting, or related field
Work EnvironmentFinancial services, corporate finance, investment firmsCorporate finance, banking, investment firms
Employer & Industry UsageUsed for complex financial analysis, forecasting, and strategic planningUsed for data analysis, reporting, and supporting financial decisions

The main difference between Senior Financial Analyst Python and Financial Analyst Python lies in experience level and responsibilities. Senior Financial Analysts typically handle more complex analysis, strategic planning, and mentorship, while Financial Analysts focus on data gathering, reporting, and supporting financial operations. Both roles require Python skills and finance knowledge but differ in scope and seniority.

What cities near Pana, IL are hiring for Senior Financial Analyst Python jobs?

Cities near Pana, IL with the most Senior Financial Analyst Python job openings:

Senior Financial Analyst Python jobs near you

Senior Data Engineer ID75059

AgileEngine

Irving, IL • On-site, Remote

$92K - $125K/yr

Full-time

This job post has expired today. Applications are no longer accepted.

Job description

AgileEngine is an Inc. 5000 company that creates award-winning software for Fortune 500 brands and trailblazing startups across 17+ industries. We rank among the leaders in areas like application development and AI/ML, and our people-first culture has earned us multiple Best Place to Work awards.
WHY JOIN US
If you\'re looking for a place to grow, make an impact, and work with people who care, we\'d love to meet you!
ABOUT THE ROLE
We are looking for a Senior Data Engineer to design and build scalable data lakes, warehouses, and lakehouse architectures supporting a thematic research platform that processes large volumes of financial data daily. You will implement Python-based ETL/ELT pipelines, orchestrate workflows with Airflow, develop ingestion workflows from third-party APIs, and work with Snowflake, Spark, and AWS to deliver high-performance data infrastructure. The role combines hands-on engineering with technical consulting responsibilities, translating business goals into data architecture roadmaps.
WHAT YOU WILL DO
- Design and implement Python Data Engineering solutions;
- Design and build scalable Data Lakes, Data Warehouses, and Data Lakehouses;
- Design and implement robust ETL/ELT processes at scale using Python, incorporating modern pipeline orchestration tools like Airflow;
- Develop sophisticated ingestion workflows from diverse 3rd party APIs and data sources;
- Manage and optimize various file formats (Parquet, Avro, ORC) and columnar storage to ensure high-performance data retrieval;
- Work with AI development tools to support and accelerate ongoing development, machine learning initiatives and advanced analytics;
- Act as a technical consultant for stakeholders and leadership to gather requirements, understand business goals, and translate them into technical roadmaps;
- Work with Terraform and other tools to build AWS and on-prem infrastructure.
MUST HAVES
- You must be authorized to work for ANY employer in the US (e.g., Green card holders, TN visa holders, GC EAD, H4 EAD, U4U with EAD), as we are unable to sponsor or take over employment visa sponsorship at this time;
- Bachelor’s degree in computer science/engineering or other technical field, or equivalent experience;
- 5+ years of experience with Python (strong, hands-on Python experience is a must);
- 5+ years of experience with data processing, manipulation, and analytics libraries like Pandas, Polars, PySpark or DuckDB;
- 2+ years of experience with Big Data technologies (Spark, Snowflake);
- Expert-level knowledge of pipeline orchestration using Airflow or similar industry-standard tools;
- Deep understanding of Medallion Architecture, columnar file formats, and diverse database technologies (SQL, NoSQL, and Lakehouse architectures);
- Proven ability to work with 3rd party APIs for complex data ingestion tasks;
- Proficiency with modern Cloud platforms (AWS, GCP, Snowflake) and advanced SQL optimization;
- Exceptional soft skills with a proven ability to gather requirements from leadership and collaborate effectively across cross-functional teams;
- Excellence in optimizing complex data pipelines and troubleshooting data latency or consistency issues in massive datasets;
- A self-starter mindset, regularly investigating more efficient data architectures and AI development tools to improve pipeline performance;
- Taking pride in data integrity and the accuracy of the end-to-end pipelines and architectures you build;
- Strong communication skills for seamless global collaboration with stakeholders and distributed teams;
- Upper-intermediate English level.
NICE TO HAVES
- Familiarity with the fintech industry, understanding of financial data, regulatory requirements, and business processes specific to the domain;
- Documentation skills to document data pipelines, architecture designs, and best practices for knowledge sharing and future reference;
- OpenSearch, Elasticsearch;
- AWS Sagemaker Studio, Jupyter for analyze data;
- Terraform;
- Scala.
PERKS AND BENEFITS
- Professional growth: Mentorship, TechTalks, and personalized growth roadmaps.
- Competitive compensation: USD-based pay with education, fitness, and team activity budgets.
- Exciting projects: Modern solutions with Fortune 500 and top product companies.
- Flextime: Flexible schedule with remote and office options.

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