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Freelance Python Data Analysis Jobs in Little Rock, AR

AI Engineer

Little Rock, AR · On-site

$109K - $131K/yr

... Python (e.g., with Kubernetes or REST APIs) when needed for prioritized prototypes * Collaborate ... Engineering, Data Analytics, Data Science OR Mathematics, Statistics, Economics, Business ...

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Proficiency in SQL for data manipulation and analysis. Comfortable with Python. * Experience working within data platforms like Databricks/Snowflake, and analytics modeling platforms such as Tableau

Familiarity with Python, R, or another scripting language for data preparation and analysis. * Exposure to GIS tools such as ArcGIS, or interest in geospatial data. * Interest in the civil ...

... Python * Experience with Machine Learning algorithms, predictive modeling, and statistical analysis ... Strong understanding of REST APIs, Microservices, and data pipelines * Experience with SQL and ...

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Freelance Python Data Analysis information

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How much do freelance python data analysis jobs pay per hour?

As of Sep 5, 2026, the average hourly pay for freelance python data analysis in Little Rock, AR is $56.23, according to ZipRecruiter salary data. Most workers in this role earn between $46.35 and $63.85 per hour, depending on experience, location, and employer.

What is freelance Python data analysis?

Freelance Python data analysis involves using the Python programming language to analyze and interpret data for clients on a project or contract basis. Freelancers in this field typically work with datasets to extract insights, visualize results, and help businesses make data-driven decisions. They often use libraries such as pandas, NumPy, and matplotlib, and may work across industries like finance, marketing, healthcare, and technology. Freelancers enjoy flexibility in choosing their projects and clients, and often work remotely.

What are the key skills and qualifications needed to thrive as a freelance Python data analyst?

To thrive as a Freelance Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often backed by a relevant degree or proven portfolio. Experience with tools such as Pandas, NumPy, Jupyter Notebooks, and data visualization libraries like Matplotlib or Seaborn is typically required. Excellent problem-solving abilities, communication skills, and the ability to manage projects independently distinguish top performers in this role. These skills enable analysts to deliver actionable insights, meet client expectations, and maintain a successful freelance business.

What are some common challenges freelance Python data analysts face when working with clients remotely?

Freelance Python data analysts often encounter challenges such as clarifying project requirements, managing client expectations about deliverables, and ensuring timely communication across different time zones. Working remotely can also mean troubleshooting data access or security issues, especially if clients have strict data privacy policies. Building trust through regular updates and transparent reporting is key to successful collaborations in this role.

What are the most commonly searched types of Python Data Analysis jobs in Little Rock, AR?

The most popular types of Python Data Analysis jobs in Little Rock, AR are:

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For Freelance Python Data Analysis jobs in Little Rock, AR, the most frequently searched job titles are:

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The top searched job categories for Freelance Python Data Analysis jobs in Little Rock, AR are:

What cities near Little Rock, AR are hiring for Freelance Python Data Analysis jobs?

Cities near Little Rock, AR with the most Freelance Python Data Analysis job openings:

Infographic showing various Freelance Python Data Analysis job openings in Little Rock, AR as of August 2026, with employment types broken down into 77% Full Time, and 23% Contract. Highlights an 91% In-person, 4% Hybrid, and 5% Remote job distribution, with an average salary of $116,951 per year, or $56.2 per hour.

Sr. Data Architect, AI & Analytics Platforms

Avery Dennison

Little Rock, AR • Remote

$60.50 - $80.75/hr

Full-time

Medical, Retirement, PTO

Posted 17 days ago


Avery Dennison rating

8.9

Company rating: 8.9 out of 10

Based on 61 frontline employees who took The Breakroom Quiz

7th of 122 rated packaging manufacturers


Job description

Company Description

Why join Avery Dennison:

We are a global materials science and digital identification solutions company with locations in over 50 countries, and approximately 35,000 employees worldwide. As a science and innovation company, we believe that diverse teams are stronger teams. We are committed to fostering a culture of curiosity and courage, where you can grow your career with a company that has innovation in its DNA. Founded on creating real-world impact to enable a better future, we strive to provide an open, collaborative culture where diversity of thought is encouraged and respected. Hear from our employees about what it's like working at Avery Dennison. Learn more at www.averydennison.com. 

Vestcom is the industry leader in technology-driven shelf-edge solutions for Retailers and CPGs. Our data-integrated media solutions drive sales and loyalty, engaging shoppers at the point of decision. For our growing team of over 1,000 employees, Vestcom offers the stability of an established company with the entrepreneurial spirit and fast-paced environment of a high-growth technology innovator.

Vestcom is a standalone business unit of Avery Dennison, a Fortune 500 leader in materials science and packaging materials.

Benefits:

At Avery Dennison, some of the great benefits we provide are:

  • Inclusive Care: Access to our large network of medical and behavioral health professionals.

  • 401(k) Savings Plan: Avery Dennison supports your retirement readiness financially through company contributions to the 401(k) Plan. We encourage you to save as much as possible to meet your goals. You receive an automatic contribution of 3% of eligible pay (even if you contribute $0) plus a matching contribution of 50% on the first 7% of eligible pay you contribute.

  • Healthcare Coverage: Avery Dennison offers healthcare and insurance options to support you and your family based on your personal needs.

  • Paid Time Off: We offer a generous vacation program that varies based upon your experience and position within Avery Dennison.

Job Description

The Sr. Data Architect - AI & Analytics Platforms is a high-impact, hands-on technical role within the Data Strategy & Insights (DSI) organization. In this role, the Sr. Data Architect - AI & Analytics Platforms will architect, build, and scale DSI's next-generation decision intelligence engines, bridging the gap between complex engineering pipelines and actionable business intelligence. Working directly with data engineering teams, this role turns business logic, predictive analytics, and AI models into robust, automated data platforms. Rather than building standard reports, the Sr. Data Architect - AI & Analytics Platforms builds foundational platform architectures, automated pipelines, and AI enablement layers that empower CPG clients and internal teams to directly access advanced insights, optimize campaign spend, and measure incremental performance at scale.

Key Responsibilities:

This is a remote position unless employee sits within a 40 mile radius of a Vestcom location then they will go onsite 2x a week. 

  • Platform Architecture & AI Enablement: Architect and implement scalable, cloud-native analytics platforms (Databricks, Snowflake) that enable direct self-service access to insights, predictive models, and GenAI-assisted analytics tools.

  • Engineering Collaboration & Technical Mentorship: Act as the hands-on bridge between business strategy and engineering teams, partnering closely with senior and junior data engineers to translate complex business rules into modular SQL/Python code, data models, and scalable platform services.

  • Decision Engine Development & Automation: Design, evolve, and automate measurement engines and algorithms that compute campaign performance (e.g., iROAS, Test vs. Control) against massive retail transaction datasets.

  • Multi-Source Data Integration: Author integration pipelines and data models that unify multi-retailer point-of-sale (POS) data, third-party syndicated datasets, and internal platform metrics into an integrated Analytics Data Warehouse.

  • Analytics Productization & Stack Optimization: Transform exploratory analytical models into production-ready analytical tools (e.g., Category Buyer Dynamics, predictive audience targeting) while continuously optimizing the cloud data warehousing and decision intelligence ecosystem.

Qualifications

Qualifications:

  • Education & Senior Experience: Bachelor's or Master's degree in Computer Science, Data Engineering, Business Analytics, Data Science, or related quantitative field, with 8+ years of progressive experience in data engineering, platform development, or analytics architecture (including 3+ years operating at a senior technical level).

  • Domain & Industry Knowledge: Strong background in CPG/Retail analytics, point-of-sale (POS) transactional data, campaign measurement methodologies (Test vs. Control), and strong knowledge and experience with digital in the Retail Media Network (RMN) space (in-store digital media, DOOH, ESL, etc.).

  • Platform & Technical Depth: Proven hands-on experience architecting and deploying analytics solutions on Databricks or Snowflake environments, with advanced proficiency in SQL, Python, database design, star/snowflake schema data modeling, ETL/ELT pipeline design, and API integration.

  • AI & Production Coding: Strong familiarity and experience incorporating machine learning models, predictive algorithms, and AI tools into operational analytics workflows, with a demonstrated ability to write production code alongside data engineers.

  • Leadership & Communication: Exceptional organizational, communication, and problem-solving skills, with a proven ability to lead technical execution across cross-functional teams and effectively communicate platform capabilities to non-technical business stakeholders.

Additional Information

The salary range for this position is $119,000 - $178,000 / year. The hiring base salary range above represents what Avery Dennison reasonably expects to pay for this position as of the date of this posting. Actual salaries will vary within the range, and in some circumstances may be above or below the range, based on various factors including but not limited to a candidate's relevant skills, experience, education and training, and location, as well as the job scope and complexity, responsibilities, and regular and/or necessary travel required for the position, which may change depending on the candidate pool. Avery Dennison reserves the right to modify this information at any time, subject to applicable law.

Equal Opportunity Employer:

Avery Dennison is an equal opportunity employer. All qualified applicants will receive consideration for employment without regard to race, color, religion, sex, national origin, sexual orientation, gender identity, disability, protected veteran status, or any other protected status.

Reasonable Accommodations Notice:

If you require accommodations to view or apply for a job, alternative methods are available to submit an application. Please contact (440) 534-6000 or [email protected] to discuss reasonable accommodations.

Identity Verification Notice:

To maintain the integrity of our hiring process and protect our candidates from identity fraud, we require video and/or in-person interviews. As part of this verification, we may also ask you to take a brief photo. This image is used exclusively to ensure identity consistency and will be permanently deleted once the hiring process concludes.

Pre-employment Screening Notice:

As part of our commitment to maintaining a safe and productive work environment, Avery Dennison requires all final candidates to successfully complete a comprehensive background check and a drug screening. These checks are conducted post-offer and are a condition of employment. All results will be considered in accordance with applicable local, state, and federal laws.


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