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Freelance Python Data Analysis Jobs in Elkhart, IN

micro1 AI

Director of Biostatistics

South Bend, IN · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

micro1 AI

Biostatistician

South Bend, IN · Remote

$60 - $100/hr

... analysis, regulatory submission reviews, and observational study assessments ... Source, construct, and curate authentic datasets including trial data, patient records, and ...

enFocus

The enFocus Internship

South Bend, IN · On-site

$14.75 - $19.25/hr

... Python, R, and SQL Regardless of their Primary Project portfolio, all Summer Interns will ... Familiarity and/or interest in one or more of the following: business/data analytics, community ...

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

As of Sep 7, 2026, the average hourly pay for freelance python data analysis in Elkhart, IN is $56.09, according to ZipRecruiter salary data. Most workers in this role earn between $46.25 and $63.70 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.

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Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Elkhart, IN as of June 2026, with employment types broken down into 1% As Needed, 87% Full Time, and 12% Part Time. Highlights an 82% Physical, 5% Hybrid, and 13% Remote job distribution, with an average salary of $116,665 per year, or $56.1 per hour.

Postdoctoral Research Fellow, Midwest Regional Energy Symbiosis

University of Notre Dame

Notre Dame, IN • On-site

$48K - $65K/yr

Full-time

Re-posted 15 days ago

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Company rating: 7.4 out of 10

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Job description

Description
The University of Notre Dame invites applications for a Postdoctoral Research Fellow to join a collaborative, interdisciplinary team of researchers from Notre Dame, Indiana University, Purdue University, and the University of Wisconsin to develop and pilot an AI-enabled material flow and industrial symbiosis framework that connects energy, water, and resource loops. This innovative research engages the Midwest's strong presence in manufacturing, agricultural landscapes, construction activity, and freshwater resources as a living regional laboratory to develop transferable methods for mapping, modeling, and evaluating industrial symbiosis opportunities across interconnected energy, water, material, agricultural, industrial, and construction systems. The postdoctoral fellow will serve as the central analytical and coordination lead for the project, working under the technical guidance of the PI and co-investigators.
The postdoctoral fellow will contribute to key project outcomes, including, but not limited to:
  • Developing an innovative industrial symbiosis framework that outlines short-term feasible and long-term transformative cross-sector exchanges.
  • Creating a transparent AI-enabled and replicable methodology that can be adapted to other Midwestern and U.S. regions to support energy-water-resource engineering and circular economy research.
  • Coordinating meetings and work with faculty teams and other research assistants.
  • Lead the co-authorship of interdisciplinary, peer-reviewed publications in high impact journals and develop the foundation for future grant proposals.

The postdoctoral fellow will assume the following key responsibilities:
  • Compiling, managing, and integrating geospatial and infrastructure datasets related to industrial facilities, manufacturing processes, water and wastewater systems, solid waste streams, agricultural production, energy systems, construction-related material demand, and secondary resource flows.
  • Developing regional material flow inventories that identify major sources, sinks, transformation points, and potential exchange pathways.
  • Conducting industrial symbiosis screening to identify feasible cross-sector resource exchanges.
  • Supporting the development of transparent AI-enabled assessment methods.
  • Conducting simplified material flow analysis, life-cycle assessment, and techno-economic screening to evaluate selected symbiosis pathways.
  • Preparing technical briefs, maps, diagrams, scenario portfolios, and visualizations to support team coordination and communication with public and private sector partners.
  • Producing first drafts of scholarly manuscripts and contributing technical content, preliminary results, figures, and supporting analyses for follow-on grant proposals.

This search is conducted with leadership from Notre Dame's Just Transformations to Sustainability Initiative, a University-wide effort to build a sustainable future where people and nature flourish together. The Initiative supports an interdisciplinary cohort of postdoctoral scholars dedicated to advancing sustainability research grounded in the principles of integral ecology and integral human development.
This is a full-time position available with an initial appointment of one-year, renewable for an additional year on the basis of satisfactory performance and availability of funding.
Qualifications
Required Qualifcations:
  • Ph.D. (in hand by the starting date) in industrial ecology, environmental engineering, civil and environmental engineering, systems engineering, sustainable manufacturing, urban systems, architecture/engineering, environmental science, geography, data science, or a closely related field.
  • Demonstrated research experience in one or more of the following areas: material flow analysis, life-cycle assessment, techno-economic analysis, industrial symbiosis, circular economy, resource recovery, waste management, water-energy-food systems, sustainable manufacturing, or low-carbon construction/material systems.
  • Strong quantitative and data-integration skills, including experience working with geospatial data, infrastructure datasets, environmental inventories, or regional-scale resource-flow data.
  • Expertise with LCA/MFA tools, databases, or methods; experience with software such as SimaPro, openLCA, Brightway, Python, R, GIS platforms, or related analytical tools is desirable.
  • Experience with AI, machine learning, optimization, spatial analysis, scenario modeling, or decision-support methods is strongly preferred, especially when applied in transparent, interpretable, or policy-relevant contexts.
  • Ability to synthesize complex multi-sector information into clear analytical outputs, including maps, figures, diagrams, tables, technical memos, and scholarly manuscripts.
  • Strong writing, communication, and coordination skills, with the ability to work across a multi-institutional and interdisciplinary research team.
  • Interest in regional sustainability, circular resource engineering, industrial ecology, and applied research that supports energy-water-resource loop closure.

Application Instructions
Applications will be reviewed on a rolling basis starting on September 1, 2026, and will continue until the position is filled.
Interested applicants should submit the following materials at their earliest convenience:
  1. A two page cover letter that describes in detail their research interests, background and qualifications for the role.
  2. A detailed curriculum vitae.
  3. Three recent publications or dissertation chapters.
  4. Contact information for at least three references.

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