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Junior Financial Analyst Python Jobs in Minnesota

Staffingine LLC

MN · On-site

... mentoring or guiding junior analysts as needed Minimum Qualifications * Bachelors degree in ... Familiarity with scripting eg Bash Python to streamline tasks and improve efficiency Mandatory ...

Entrust

Sr. Business Systems Analyst

Shakopee, MN · On-site

Responsibilities : • Partner with the Financial Planning & Analysis (FP&A) team to support ad hoc ... Python/SQL and managing enterprise data sources. • Experience working with Oracle eBusiness Suite ...

US Bank

Credit Risk Python Architect

Minneapolis, MN · On-site

$111K - $131K/yr

Helping the customers and businesses we serve to make better and smarter financial decisions and ... Strong analytical, organizational, problem-solving, negotiation, and project management skills

RxFunction

Junior Buyer

Eden Prairie, MN · On-site

$55K - $70K/yr

The Junior Buyer works closely with Manufacturing, Planning, Warehouse, Engineering, Finance and ... Continuous Improvement & Analytics * Participate in supply chain, inventory, and operational ...

RxFunction

Junior Buyer

Eden Prairie, MN · On-site

$55K - $70K/yr

The Junior Buyer works closely with Manufacturing, Planning, Warehouse, Engineering, Finance and ... Continuous Improvement & Analytics * Participate in supply chain, inventory, and operational ...

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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.
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Junior Financial Analyst Python jobs near you
Sr Data Analyst - Crecera Brands

Sr Data Analyst - Crecera Brands

Sportsman's Guide

Minneapolis, MN

$75K - $110K/yr

Full-time

Posted 23 days ago

Job description

Sr. Data Analyst 

             Job Description 

 

ABOUT THE COMPANY
Crecera Brands is the driving force behind Sportsman’s Guide, Salt Strong, The Golfer’s World, Play Baseball and Play Softball, five of America’s leading retailers of outdoor gear, sporting goods and golf supplies. For nearly 50 years, our companies have been dedicated to helping our customers enjoy the fun, freedom, and traditions of the great outdoors. From hunting and fishing to playing ball and hitting the links, the companies of Crecera Brands deliver the gear you need to succeed. Our websites include sportsmansguide.com, tgw.com, saltstrong.com, playbaseball.com and playsoftball.com.


Position Overview
We are seeking for a Senior Data Analyst to transform complex data into actionable insights that drive business within our golf, baseball and softball businesses. This role combines strong analytical thinking with technical expertise in SQL, Python, R, Tableau, and Snowflake to support strategic and operational initiatives. The ideal candidate is a hands-on analyst who can work across stakeholders, build scalable data solutions, and communicate insights clearly to both technical and non-technical audiences.


Key Responsibilities

• Data Analysis & Insights
o Analyze large, structured datasets to identify trends, patterns, and opportunities
o Translate business questions into data-driven analyses and actionable recommendations
o Design and execute exploratory and statistical analyses using Python and R
o Develop KPIs and metrics to monitor performance and support business strategy

• Data Management & SQL
o Write complex, optimized SQL queries to extract, transform, and validate data
o Work with data warehouses (e.g., Snowflake) to manage and model data
o Ensure data quality, integrity, and consistency across systems

• Visualization & Reporting
o Build interactive dashboards and reports in Tableau (or similar BI tools)
o Provide clear storytelling through data to influence decision-making
o Automate reporting processes and improve accessibility of insights

• Stakeholder Collaboration
o Partner with cross-functional teams (e.g., Product, Finance, Marketing, Operations)
o Gather requirements and translate business needs into analytical solutions
o Present findings and recommendations to leadership

• Advanced Analytics & Continuous Improvement
o Develop predictive models or advanced analytics solutions where needed
o Identify opportunities to improve data processes, tools, and governance
o Mentor junior analysts and contribute to best practices


Required Qualifications
• Must be legally authorized to work in the United States without sponsorship for employment visa status (e.g., TN, H1B status)
• Bachelor’s degree in data analytics, statistics, computer science, economics, data science, or related field
• 4+ years of experience in data analytics or a related role
• Advanced proficiency in SQL, Python and/or R, Tableau or similar BI tools
• Strong experience working with data warehouses and large datasets
• Solid understanding of statistics, data modeling, and analytical methods
• Proven ability to communicate insights to business stakeholders
Preferred Qualifications
• Experience with modern data stacks (i.e. Snowflake etc.)
• Experience with Adobe Analytics or Google Analytics
• Exposure to A/B testing, machine learning, or predictive modeling
• Experience in a DTC e-commerce environment
• Experience mentoring or leading projects
Key Competencies
• Analytical problem-solving
• Business acumen
• Data storytelling & visualization
• Attention to detail
• Collaboration and influence

Compensation:
Base Salary: $75,000 - $110,000 depending on experience and qualifications

Apply