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Weekend Python Data Analyst Jobs in Ohio (NOW HIRING)

Ferroglobe

Business Data Analyst

Marietta, OH · On-site

$95K - $110K/yr

Experience in programming languages such as Python, R, and SQL. * Proficiency with data ... Familiarity with ETL tools and data analysis techniques. * Solid understanding of statistics and ...

Lynch Consultants, LLC

Junior Data Analyst

Dayton, OH · On-site

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Lynch Consultants, LLC

Junior Data Analyst

Dayton, OH · On-site

$59K - $63K/yr

MUST have hands-on experience with data analysis and programming tools such as Python, PySpark, SQL, R, Scala, Visual Basic, or similar technologies used to parse, cleanse, manipulate, analyze, and ...

Purple Drive Technologies

Data Modeler

Columbus, OH · On-site

$53 - $68.50/hr

Python, Data Concepts & Data Modelling, Erwin Collaboration Effectiveness demonstrated skill ... Structured execution of data analysis, data profiling, and data mapping tasks. Ensures referential ...

DPDHL

Business Data Analyst I

Lockbourne, OH

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

DHL

Business Data Analyst I

Lockbourne, OH · On-site

$70K - $115K/yr

The Business Data Analyst I role has a national salary range of $70,000 - $115,000. For roles ... Hands-on experience using SQL or other scripting languages (such as Python or R) to query, clean ...

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81.20K - $102.50K/yr

... Python, VBA. * Participate in study teams; originate new ideas, projects, and methodologies; and ... Qualifications 15+ years experience in research and data analysis including at least 5 years ...

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81.20K - $102.50K/yr

... Python, VBA. * Participate in study teams; originate new ideas, projects, and methodologies; and ... data analysis including at least 5 years working in a DoD environment. Bachelor's degree in a ...

Abacus Technology

Sr. Research/Data Analyst

Fairborn, OH · On-site

$81.20K - $102.50K/yr

... Python, VBA. * Participate in study teams; originate new ideas, projects, and methodologies; and ... Qualifications 15+ years experience in research and data analysis including at least 5 years ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · On-site

Responsibilities : • Develop data analytics and visualizations by applying proven, industry ... and Python • Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

Benesch

Financial Data Analyst

Cleveland, OH · Hybrid

$81K - $98K/yr

... Python, and other analytical tools 8. Processes, cleans, and validates data for predictive analysis and data modeling. 9. Collaborates with multiple departments across the firm to analyze and ...

Benesch Law

Financial Data Analyst

Cleveland, OH · On-site

$81K - $98K/yr

... Python, and other analytical tools 8. Processes, cleans, and validates data for predictive analysis and data modeling. 9. Collaborates with multiple departments across the firm to analyze and ...

SAIC

Data Analyst - GEOINT Technical SME

Dayton, OH · Remote

$120K - $160K/yr

ORA_ON_SITE Description The Data Analyst - GEOINT Technical SME applies their technical and ... Java and Python * Demonstrated ability to use Share Point, Tableau, Redmine, and other systems ...

Tulk LLC

Data Analyst Mid - GEOINT Technical SME

Dayton, OH · On-site

$121K - $155K/yr

Demonstrated coding or scripting experience using tools such as Python, Java, or similar languages to support data manipulation, analysis, automation, or visualization. * Demonstrated ability to use ...

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Weekend Python Data Analyst information

What are the key skills and qualifications needed to thrive as a Weekend Python Data Analyst, and why are they important?

To thrive as a Weekend Python Data Analyst, you need strong analytical skills, proficiency in Python programming, and a background in statistics or data science—often supported by a relevant degree or certification. Familiarity with data visualization tools (like Tableau or Power BI), SQL databases, and Python libraries such as Pandas and NumPy is typically expected. Excellent problem-solving, time management, and communication skills help you interpret data insights and present findings effectively during limited weekend hours. These skills ensure accurate data analysis, actionable recommendations, and efficient collaboration, even within a compressed work timeframe.

What are some common challenges faced by Weekend Python Data Analysts, and how can they be managed?

Weekend Python Data Analysts often face challenges such as limited time to access stakeholders or full datasets, since many team members may not be available outside standard business hours. To manage these challenges, it’s important to communicate needs and data access requirements ahead of time, and to document findings thoroughly for seamless handovers. Being self-sufficient with Python tools and data wrangling is critical, as you may need to troubleshoot issues independently. Proactively setting clear goals for each shift can also help maximize productivity during weekend hours.

What are Weekend Python Data Analysts?

Weekend Python Data Analysts are professionals who work part-time or on weekends to analyze data using Python programming. They typically handle tasks such as cleaning data, performing statistical analyses, creating data visualizations, and generating reports. These analysts often support organizations that require flexible staffing or have projects that need attention outside of regular business hours. Their expertise in Python enables them to efficiently manipulate large datasets and extract actionable insights. This role is ideal for those seeking flexible work arrangements or supplementary income in the data analytics field.

What is the difference between Weekend Python Data Analyst vs Weekend Data Scientist?

AspectWeekend Python Data AnalystWeekend Data Scientist
Required SkillsPython, data analysis, visualization, SQLPython, machine learning, statistical modeling, data analysis
CertificationsData analysis certifications, Python certificationsData science certifications, Python certifications
Work EnvironmentPart-time, project-based, remote or on-sitePart-time, project-based, remote or on-site
Industry UsageBusiness analytics, finance, marketingResearch, AI development, advanced analytics

Weekend Python Data Analysts focus on data cleaning, visualization, and basic analysis using Python, suitable for business insights. Weekend Data Scientists handle more complex modeling and machine learning tasks, often requiring advanced statistical skills. Both roles are part-time, flexible, and commonly used across industries, but Data Scientists typically require a deeper technical background.

What are the most commonly searched types of Python Data Analyst jobs in Ohio? The most popular types of Python Data Analyst jobs in Ohio are:
Weekend Python Data Analyst jobs near you

Business Data Analyst

Ferroglobe

Marietta, OH • On-site

$95K - $110K/yr

Full-time

Posted 6 days ago

Job description

Who we are:

Ferroglobe is one of the world’s leading suppliers of silicon metal, silicon-based and manganese-based specialty alloys and ferroalloys, serving a customer base across the globe in dynamic and fast-growing end markets, such as solar, automotive, consumer products, construction and energy.

Learn more about our Transformation Story here: Who we are


Position Summary:

We are looking for a highly motivated Data/Business Analyst to join our team and help drive data-informed decision-making across the organization. The ideal candidate is both technically skilled and business-savvy, with a passion for transforming data into insights that drive strategic outcomes.


Key Responsibilities:

  • Data Source Monitoring. Ensure the correct execution of data loading processes from various sources, maintaining data quality, integrity, and availability.
  • Processing and Integrating New Data Sources. Evaluate new datasets that can add value to the business, defining storage structures and integration mechanisms to incorporate them into the existing data ecosystem in a clean, scalable, and organized manner.
  • Report Design and Implementation. Gather functional requirements from different business units to design and implement reports that enhance operational management and decision-making. Strong skills in developing clear and effective data visualizations are highly valued.
  • Predictive Modeling and Exploratory Analysis. Apply statistical and machine learning techniques to build predictive models and conduct exploratory analysis to identify patterns, detect anomalies, and uncover insights that support business strategies.
  • Ethical Data Management. Ensure compliance with data privacy and security regulations. Promote a culture of responsible data use across teams by educating colleagues on best practices for handling reports and sensitive information.

Qualifications

Technical Skills:

  • Experience in programming languages such as Python, R, and SQL.
  • Proficiency with data visualization tools like Power BI and Tableau.
  • Knowledge of relational and non-relational database engines, and data modeling principles.
  • Familiarity with ETL tools and data analysis techniques.
  • Solid understanding of statistics and machine learning for predictive modeling.

Soft Skills:

  • Problem-solving and critical thinking skills. The ability to face challenges, evaluate the validity of processes and processed information, and continuously identify opportunities to improve data quality, reporting, and analytical processes is a must.
  • Communication, storytelling and collaboration skills. Working with other departments will be key to understanding their information needs and capturing requirements to provide clear and relevant reports.
  • Attention to detail. It is crucial to ensure the accuracy and quality of data, as well as the identification of errors and validation of results.
Preferred Qualifications:
  • A degree in Computer Science, Statistics, Economics, Business or a related field is preferred.
  • 2+ year of experience in similar role.
  • Master’s degree in data science or similar is a plus.
  • English and Spanish is a must, French is a plus.
  • Proven experience in a data analyst or similar role.
  • Solid understanding of machine learning concepts and hands-on experience with predictive modeling.

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