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Freelance Python Data Analysis Jobs in Indiana (NOW HIRING)

ClinLab Solutions Group

IN

$61 - $78.25/hr

Develop data visualization and applications in Python, utilizing frameworks such as Streamlit and plotting tools like holoviews and Plotly. * Collaborate with business analysts, scientists, and AI ...

STI

Data Analyst

Indianapolis, IN · On-site

Proficiency in data analysis tools such as SQL, Python, R, or Excel. Experience with data visualization tools like Tableau, Power BI, or Google Data Studio. Strong analytical and problem-solving ...

Staffingine LLC

DWD - Data Analyst

Indianapolis, IN · On-site

Proficiency in data analysis tools such as SQL, Python, R, or Excel. * Experience with data visualisation tools like Tableau, Power BI, or Google Data Studio. * Strong analytical and problem-solving ...

Subaru

Data Analytics Developer

Lafayette, IN

Use ETL and data modeling tools to translate requirements into functioning, accurate data analysis solutions, including writing custom code in SQL, Python, MDX and other languages as needed * Develop ...

campus4tech

Data Analyst

Indianapolis, IN · On-site

In addition, this role will assist with curation and analysis of various other datasets and assist ... Python, including data cleaning, running descriptive statistics and full analyses. • Working ...

STI

Data Analyst - Indianapolis, IN

Indianapolis, IN · On-site

The role will include exploratory data analysis, reporting, descriptive statistics, dataset ... Python, including data cleaning, running descriptive statistics and full analyses. • Working ...

MetaPhase Consulting

Data Analyst

Indianapolis, IN

Data Analysis & Reporting * Collect, analyze, validate, and interpret structured and unstructured ... Experience with SharePoint, Power Automate, Python, or similar automation/reporting tools Work ...

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Freelance Python Data Analysis information

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, and why are they important?

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 Indiana? The most popular types of Python Data Analysis jobs in Indiana are:
What are popular job titles related to Freelance Python Data Analysis jobs in Indiana? For Freelance Python Data Analysis jobs in Indiana, the most frequently searched job titles are:
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What cities in Indiana are hiring for Freelance Python Data Analysis jobs? Cities in Indiana with the most Freelance Python Data Analysis job openings:
Freelance Python Data Analysis jobs near you
Infographic showing various Freelance Python Data Analysis job openings in Indiana as of June 2026, with employment types broken down into 37% Full Time, 57% Part Time, 2% Temporary, and 4% Contract. Highlights an 81% Physical, 5% Hybrid, and 14% Remote job distribution.

Scientific Data Architect

ClinLab Solutions Group

IN

$61 - $78.25/hr

Other

Posted 8 days ago

Job description

Job Title: Scientific Data Architect

Work Location: Marion County, Indiana


DOES OFFER RELOCATION



Summary:

Seeking a Scientific Data Architect to drive the design and implementation of advanced scientific data solutions. This role focuses on transforming complex scientific data into actionable insights, collaborating with cross-functional teams, and leveraging AI/ML methodologies to accelerate scientific outcomes. The ideal candidate is a proactive problem-solver with deep experience in life sciences, data modeling, and cloud-based product development.

Responsibilities:

  • Engage directly with scientific stakeholders to understand data challenges and requirements, building strong relationships and accelerating tailored solutions.
  • Design and implement scalable, reusable data models to efficiently organize scientific data for diverse use cases.
  • Translate scientific workflows into robust, cloud-based solutions using advanced data platforms and tools.
  • Prototype and implement solutions including data model design (tabular & JSON), Python-based parser development, and lab software integration via APIs.
  • Develop data visualization and applications in Python, utilizing frameworks such as Streamlit and plotting tools like holoviews and Plotly.
  • Collaborate with business analysts, scientists, and AI engineers to develop and deploy machine learning, AI, mechanistic, statistical, and hybrid models.
  • Iterate dynamically with end users and technical stakeholders, driving solution adoption through regular demos, meetings, and proactive communication.
  • Rapidly learn and apply new technologies to troubleshoot and develop scientific use cases, while contributing to product roadmap prioritization based on user feedback.

Qualifications:

  • PhD with 7+ years or Master’s with 10+ years of industry experience in life sciences, with extensive domain knowledge in drug discovery, preclinical development, CMC, or product quality testing.
  • Proven experience defining, designing, prototyping, and implementing AI/ML-driven use cases in cloud environments.
  • Strong background collaborating with cross-functional teams, including product managers, engineers, and scientific stakeholders.
  • Expertise in exploratory data analysis and workflow optimization to enable novel scientific outcomes.
  • Excellent communication and storytelling skills, with the ability to engage audiences ranging from scientists to executive stakeholders.
  • Consulting experience advising scientists to advance research, development, and quality testing outcomes.
  • Hands-on experience with Python, data modeling (tabular & JSON), API integration, and scientific application development.
  • Demonstrated ability to rapidly learn new tools, technologies, and scientific domains.
  • Strong ownership mentality and a track record of building extensible data models and applications for scientific end users.

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