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Contract Python Data Analysis Jobs in Toledo, OH

FocusKPI

Marketing Operations Analyst

Toledo, OH

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

FocusKPI

Marketing Operations Analyst

Toledo, OH · On-site

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

Innova Solutions, Inc

Data Center PM

Bowling Green, OH · On-site

$60 - $65/hr

Fulltime - Contract role Duration: 6+ Months Location: Bowling Green, OH As a Data Center PM, you ... Responsible for demonstrating proficiency in data analytics to support informed decision-making.

Tenneco

Warranty Engineer

Monroe, MI · On-site

Check out our website to discover the Tenneco Way Execute warranty management processes including claim data analysis, debit management, contract review, part return analysis and lessons learned ...

Tenneco

Warranty Engineer

Monroe, MI

Check out our website to discover the Tenneco Way Execute warranty management processes including claim data analysis, debit management, contract review, part return analysis and lessons learned ...

Tenneco

Warranty Engineer

Monroe, MI · On-site

Check out our website to discover the Tenneco Way Execute warranty management processes including claim data analysis, debit management, contract review, part return analysis and lessons learned ...

Element Materials Technology

Data Processor

Toledo, OH · On-site

Instruct, supervise, manage, and monitor site personnel ensuring data processing, review , analysis ... Shall be responsible for preparing all necessary reports as specified in the contract's documents ...

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All JobsContract Python Data Analysis JobsContract Python Data Analysis Jobs in Toledo, OH

Contract Python Data Analysis information

See Toledo, OH salary details

$13

$57

$84

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

As of Aug 6, 2026, the average hourly pay for contract python data analysis in Toledo, OH is $57.68, according to ZipRecruiter salary data. Most workers in this role earn between $47.55 and $65.53 per hour, depending on experience, location, and employer.

What are some common challenges faced by contract Python data analysts, and how can they be addressed?

Contract Python Data Analysts often face challenges such as quickly adapting to new data environments, understanding project-specific requirements, and integrating with existing teams on a temporary basis. To address these, it's important to have strong communication skills, be proactive in clarifying expectations early on, and familiarize yourself with the company's data infrastructure and tools as soon as possible. Additionally, maintaining organized and well-documented code helps ensure smooth handovers and collaboration with other team members.

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

To thrive as a Contract Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a solid understanding of statistics and data manipulation, often supported by a relevant degree or proven experience. Familiarity with tools such as pandas, NumPy, SQL databases, and data visualization libraries is typically required. Excellent problem-solving, communication, and time management skills help you deliver actionable insights and collaborate effectively with stakeholders. These abilities are essential for extracting, interpreting, and presenting data-driven solutions that support business objectives in a contract-based environment.

What is a contract Python data analysis job?

Contract Python Data Analysis jobs involve working on a temporary or project-based basis to analyze and interpret data using Python programming. Professionals in these roles use Python libraries such as pandas, NumPy, and matplotlib to clean, process, and visualize data for clients or organizations. They may be hired for short-term projects to deliver insights, build reports, or automate data workflows, often collaborating remotely or on-site. Contract positions offer flexibility and the opportunity to work with various industries and datasets.

What is the difference between Contract Python Data Analysis vs Contract Data Scientist?

AspectContract Python Data AnalysisContract Data Scientist
Required SkillsPython, SQL, data visualization, basic statistical analysisPython, R, machine learning, statistical modeling, data visualization
Work EnvironmentProject-based, client sites or remote, short-term contractsConsulting firms, tech companies, research projects, often longer-term
Industry UsageFinance, marketing, healthcare, retailTech, finance, healthcare, academia

Contract Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for short-term projects. Contract Data Scientists typically handle advanced modeling, machine learning, and statistical analysis, often requiring broader skill sets. Both roles are in high demand but differ in complexity and scope.

What are the most commonly searched types of Python Data Analysis jobs in Toledo, OH? The most popular types of Python Data Analysis jobs in Toledo, OH are:
What are popular job titles related to Contract Python Data Analysis jobs in Toledo, OH? For Contract Python Data Analysis jobs in Toledo, OH, the most frequently searched job titles are:
What job categories do people searching Contract Python Data Analysis jobs in Toledo, OH look for? The top searched job categories for Contract Python Data Analysis jobs in Toledo, OH are:
What cities near Toledo, OH are hiring for Contract Python Data Analysis jobs? Cities near Toledo, OH with the most Contract Python Data Analysis job openings:
Contract Python Data Analysis jobs near you
Infographic showing various Contract Python Data Analysis job openings in Toledo, OH as of August 2026, with employment types broken down into 1% As Needed, 82% Full Time, 13% Part Time, and 4% Contract. Highlights an 87% Physical, 3% Hybrid, and 10% Remote job distribution, with an average salary of $119,970 per year, or $57.7 per hour.

Scientist- Data Research and Development USA

First Solar

Perrysburg, OH • On-site

Full-time

Re-posted 19 days ago

First Solar rating

6.6

Company rating: 6.6 out of 10

Based on 74 frontline employees who took The Breakroom Quiz

458th of 536 rated manufacturers

Job description


First Solar reserves the right to offer you a role most applicable to your experience and skillset.
Basic Job Functions:
This position supports large scale statistical experiment design and analysis to evaluate innovative ideas on thin-film processes. You will join many disparate data sources to compile an integrated story of discovery, within and across experiments, projects, and people. You will apply an advanced knowledge of statistics and data science techniques to recognize patterns and create insights in a state-of-the-art R&D solar fabrication facility. Design, develop, and evaluate experimental models that point in the direction of maximum success. Serve as lead statistician for project teams, providing expertise, oversight, and guidance on analysis efforts. Provide support, training, and direction to all Advanced Research Engineers on DOE, statistical analysis, and modeling. Help your colleagues build a world and workplace that is just sustainable, and equitable.
Education/Experience:
  • Bachelor's Degree in Computer Science, Information Systems, Engineering, Data Science, or similar technical discipline, and 5 years of relevant technical experience or 2 years of experience as an Engineer- Analytics R&D at First Solar.
  • Master's Degree in Computer Science, Information Systems, Engineering, Data Science, or similar technical discipline, and 3 years of relevant technical experience or 2 years of experience as an Engineer- Analytics R&D at First Solar.
  • Ph.D. in Computer Science, Information Systems, Engineering, Data Science, or similar technical discipline, without prior technical work experience.
  • Previous R&D, PV, or Semiconductor experience helpful, but not necessary.

Required Skills/Competencies:
  • Deep understanding of Design of Experiments.
  • Meta-analysis and systematic research review.
  • Data forensics and partitioning on large data sets.
  • Data Wrangling: preparation, mapping, and transformation.
  • Structured and unstructured data sets.
  • Executive level storytelling with data visualization.
  • Impart clarity when communicating complex data relationships.
  • Linear Algebra: Matrix Algebra and eigenvalues/vectors.
  • Passion to learn new areas of study (device physics learning will be intensive).
  • High emotional intelligence.
  • Bravery to speak a dissenting opinion or present evidence against current belief.
  • Skilled in a structured problem-solving method (such as DMAIC, A3, 5 Whys, etc.).
  • Extensive understanding of Probability and Inferential Statistics as well as visual display of these concepts.
  • Expert at building predictive models and utilizing advanced statistical analysis, including generalized linear models, decision trees, PCA, logistic and multivariate regression.
  • Deep knowledge of statistical and modeling software tools and scripting languages such as JMP, SAS, Python, SPSS, or R to manipulate data and draw insights from large data sets.
  • Experience with Microsoft environment: Windows OS, Office 365, Teams, SharePoint, etc.

Essential Responsibilities:
  • Development Program Statistical Research & Meta-analysis (70%)
    • While assigned to a Development Program, serve as statistical expert and work with Technical, Operations and Process Engineering Teams to achieve program goals via research, modeling, experiment design and analysis.
    • Gain deep understanding of program objectives, learning the physics behind the processes to know current and predict future Program Team needs.
    • Help Team define an experiment's statement of intent, reviewing previous responses and assuring factor estimability is understood.
    • Systematic review of prior experimentation to find relevant, high-quality data, while accounting for variability in study approach, sample size, execution, environment, etc.
    • Standardize and weight prior research to build new predictive models to guide Program experimentation.
    • Understand experimenter's needs and develop custom experiment design to efficiently create insight.
    • Exhaustively evaluate experiment design and resulting model.
    • Work with Program Partners to define and prepare datasets for modeling.
    • Monitor many data streams and feedback data quality to Program Teams.
    • Be the data forensics Program Lead, data mining root cause of un-intended processing artifacts.
    • Explore data using a variety of statistical (e.g., data mining, regression, cluster analysis, partitioning, PCA) techniques to answer research questions and guide future experiments.
    • Synthesize independent experiment findings into overall treatment effects.
    • Prepare testing scenarios and test model performance against new results, subsets, etc.
    • Clearly and concisely communicate analysis and modeling results to business partners, supporting socialization and adoption of results into business activities and decisions.
    • Perform Program meta-analysis, putting the newest experiment in context with history, highlighting key abnormalities, consistencies, and correlations.

  • Data Science & Statistics Subject Matter Expert (30%)
    • Define data structures and systems that will institutionalize improvements and lower the bar for analysis across the organization.
    • Hone and proliferate the craft of cross-experiment meta-analysis in Research & Development.
    • Assist in development of standard analytical approaches and methodologies for the department.
    • Apply advanced statistical techniques, including analysis of variance, t-tests, factor analysis, regression, multivariate analyses, PCA or simulation, to analyze the effects of experimentation.
    • Provide guidance and direction related to statistical analysis to less experienced Research & Development staff as needed.
    • Provide peer review related to analytics methods and results.
    • Work closely with Development Technical Teams to identify and answer critical questions.
    • Identify and scope new opportunities for statistical analysis applications and scripting.
    • Proactively research and leverage new statistical techniques and technologies to apply and teach.
    • Develop and lead training sessions for advanced Data Science & Statistics concepts.
  • Other duties as assigned.
  • Job description subject to change at any time.

Reporting Relationships:
  • This position will report to the Analytics Manager.
  • This position may have direct reports.

Travel:
  • 0% - 5% (On occasion/as needed for training, etc.)

Estimated Salary Range:
  • $91,200-$130,000 Annually

US Physical Requirements:
  • Will sit, stand or walk short distances for up to the entire duration of a shift.
  • Will climb stairs on an occasional basis.
  • Will lift, push or pull up to 37 pounds on an occasional basis.
  • Required to use hands to grasp, lift, handle, carry or feel objects on a frequent basis.
  • 20/40 vision in both eyes together, with or without correction, is required.
  • Must be able to comply with all safety standards and procedures.
  • May reach above shoulder heights and below the waist on a frequent basis.
  • May stoop, kneel, or bend, on an occasional basis.
  • Ability to wear personal protective equipment is required (including but not limited to; steel-toed shoes, gloves, safety glasses, hearing protection, protective jacket or apron and arm guards, and a condition of employment and continued employment (requires little or no facial hair) for those requiring respirator use.

Potential candidates will meet the education and experience requirements provided on the above job description and excel in completing the listed responsibilities for this role. All candidates receiving an offer of employment must successfully complete a background check and any other tests that may be required.
Equal Opportunity Employer Statement: First Solar is an Equal Opportunity Employer that values and respects the importance of a diverse and inclusive workforce. It is the policy of the company to recruit, hire, train and promote persons in all job titles without regard to race, color, religion, sex, age, national origin, veteran status, disability, sexual orientation, or gender identity. We recognize that diversity and inclusion is a driving force in the success of our company.

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